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Mou, Jinjin, and Shuyun Wang. "Value-Added Service for Fashion Product Supply Chain with Overseas Warehouse Logistics Outsourcing." Mathematical Problems in Engineering 2023 (February 13, 2023): 1–14. http://dx.doi.org/10.1155/2023/8798358.
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To quickly respond to consumer demand, more and more fashion product cross-border e-commerce (CBEC) retailers outsource international logistics to an integrated overseas warehouse logistics provider (OWLP). Due to the scarcity of integrated OWLP, this paper investigates the effect of the Stackelberg game, where the OWLP dominated the supply chain, and the cooperative game where the retailer and the OWLP are consistent with the interests, on pricing, and the comprehensive value-added service (VAS) strategy for a fashion product and explores the effect of demand coefficient factors on decision-making policy and supply chain performance through sensitivity analysis. It is found that the VAS level increases in the decrease of price coefficient a and the service cost coefficient k, in the increase of the service level coefficient b, and sales cycle coefficient T. By adopting the VAS cost-sharing contract, and not only the total profit of the cooperative game is greater than that of the Stackelberg game but also the win-win cooperation between e-commerce retailer and OWLP is realized.
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Lorenzo-Romero, Carlota, María-Encarnación Andrés-Martínez, María Cordente-Rodríguez, and Miguel Ángel Gómez-Borja. "Active Participation of E-Consumer: A Qualitative Analysis From Fashion Retailer Perspective." SAGE Open 11, no. 1 (January 2021): 215824402097916. http://dx.doi.org/10.1177/2158244020979169.
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This work aims to study the web innovation strategies used by Spanish companies in the fashion and accessories sector, with the specific aim of analyzing co-creation as an innovation strategy so that this link with customers will improve efficiency and effectiveness in decision-making. Qualitative research was carried out through in-depth interviews with Spanish professionals and companies in the fashion and accessories sector. Then, a theoretical model was proposed. This model integrates value co-creation, social networking, participation, engagement, feedback, and other variables. This qualitative analysis has relevant value for the professional sector because there are many papers from consumers’ perspective; however, studies from the retail sector’s perspective are less common in the literature. This study contributes ideas for the strategy of co-participation with clients to improve the activity and management of fashion companies.
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Baek, Eunsoo, Ha Kyung Lee, and Ho Jung Choo. "Cross-border online shopping experiences of Chinese shoppers." Asia Pacific Journal of Marketing and Logistics 32, no. 2 (October 3, 2019): 366–85. http://dx.doi.org/10.1108/apjml-03-2018-0117.
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Purpose The purpose of this paper is to investigate how geographic cues embedded in a website affect Chinese consumers’ cross-border shopping experiences. The study simultaneously explores the effect of telepresence on shoppers’ perceptions of product authenticity and their trust in retailers, key drivers of behavioral intentions. Design/methodology/approach Two experimental conditions were utilized. Geographic cues depicted a famous shopping district in the retailer’s country (South Korea) or the shopper’s country (China). Study participants were female Chinese consumers in their 20s and 30s who had purchased Korean fashion products in the past (n=236). Structural equation modeling was conducted using AMOS 21.0. Findings Results indicate that participants in the “retailer’s country” experimental condition experienced higher telepresence and greater perceptions of product authenticity. Furthermore, telepresence increased participants’ trust in the retailer and perceived product authenticity, which led to positive behavioral intentions. Practical implications Findings offer important implications for cross-border online retailing. First, results suggest a highly successful tactic for enhancing shoppers’ perceptions of product authenticity and retailer trust on a cross-border platform. Second, cross-border online business professionals should focus on the role of telepresence. Finally, this study provides insight about Chinese cross-border shoppers. Originality/value This study contributes to the literature on cross-border online shopping. It suggests that the strategic use of geographic cues on a website can provide an experiential benefit, telepresence, to cross-border shoppers. The study’s findings provide a novel insight into possible unique success factors in cross-border e-commerce.
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Książkiewicz, Dorota, and Wojciech Piotrowicz. "LAST MILE LOGISTICS DELIVERY IN THE FASHION RETAIL SECTOR: THE CASE OF POLAND." Zeszyty Naukowe Uniwersytetu Gdańskiego. Ekonomika Transportu i Logistyka 69 (November 3, 2017): 51–61. http://dx.doi.org/10.5604/01.3001.0010.5561.
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The paper analyses the delivery options available to Polish customers. It compares two companies: Zalando, a solely online fashion player, and TOP SECRET, an omnichannel retailer which uses both online and traditional stores. For each company, an overview of logistic systems is presented and delivery options as well as product return conditions are analysed. This snapshot of the fashion market confirms that Polish customers have a wide choice of delivery options, from home delivery, through manned collection points (post offices, kiosks and others), to a well-developed city network of automated lockers. In the case of TOP SECRET, in-store collection was also possible. However, delivery times, from up to two days, are not as fast as countries such as the United Kingdom, where next day delivery is offered by local retailers. The development of e-commerce and omnichannel was stimulated by the recent modernisation of the transport and logistics networks in Poland.
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Shi, Ye, Ting Wang, and Layth C. Alwan. "Analytics for Cross‐Border E‐Commerce: Inventory Risk Management of an Online Fashion Retailer." Decision Sciences 51, no. 6 (January 15, 2020): 1347–76. http://dx.doi.org/10.1111/deci.12429.
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Gong, Mao-Jun, and Jing Wang. "The Competitive and Development Strategy of China’s Local Fast Fashion Apparel Enterprises under New Retail Model." Business Prospects 1, no. 1 (December 1, 2020): 66–77. http://dx.doi.org/10.52288/bp.27089851.2020.12.05.
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China’s apparel industry has developed greatly and became the world’s largest apparel production and processing base. With its price advantage, popular style, offline stores and online purchase convenience, fast fashion appealed growing consumers of different ages and areas. In recent years, China’s fast fashion clothing has developed rapidly and the market has gradually grown through increases in Cross-border E-commerce activities. SheIn, a Chinese fast fashion apparel enterprise, neither targeted its home country nor sold well there. Instead, the fast fashion online retailer primarily targeted its overseas markets and earned billions of dollars in sales. This research takes the cross-border fast fashion brand SheIn, as an example, to explore the future competitive and development strategy of China’s local fast fashion apparel enterprises under new retail model. Our results suggest that paying more attention to domestic markets, increasing the stability of APPs, improving the quality of products, and choosing suitable Cross-border E-commerce platforms may be the competitiveness-increase strategies for SheIn in the future.
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Avery, Jill, Thomas J. Steenburgh, John Deighton, and Mary Caravella. "Adding Bricks to Clicks: On the Role of Physical Stores in a World of Online Shopping." GfK Marketing Intelligence Review 5, no. 2 (November 1, 2013): 28–33. http://dx.doi.org/10.2478/gfkmir-2014-0015.
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Abstract E-commerce is gaining ground and leaving the role of traditional brick-and-mortar stores open to question. With this in mind, a team of researchers performed a case study to determine what effects the store openings of one multichannel retailer of fashion, home furnishings and high-end accessories would have on its catalog and online sales. The opening of brick-and-mortar stores had positive and negative effects for the retailer, but complementary consequences clearly outweighed sales drops in individual channels: In the short term, only catalog sales declined slightly. But over time, both the catalog and online channels increasingly benefited from the presence of the new brick-and-mortar stores. Within 79 months, catalog sales recovered to a level that would have been expected had the store never opened and subsequently continued growing more than in a sample without new stores. An enhanced understanding of both positive and negative cross-channel effects helps retailers better anticipate and respond to changes in sales in existing channels when a new one is added. It is the basis for strategically managing a company’s channels as a portfolio rather than as separate entities.
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Gustafsson, Emmelie, Patrik Jonsson, and Jan Holmström. "Reducing retail supply chain costs of product returns using digital product fitting." International Journal of Physical Distribution & Logistics Management 51, no. 8 (July 13, 2021): 877–96. http://dx.doi.org/10.1108/ijpdlm-10-2020-0334.
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PurposeThis paper investigate how fit uncertainty impacts product return costs in online retailing and how digital product fitting, a pre-sales fitting practice, can reduce fit uncertainty.Design/methodology/approachThe paper analyzes the current performance of a retailer's e-commerce and return operations by estimating costs generated by product returns, including product handling costs, tied-up capital, inventory holding costs, transportation costs, and order-picking costs. The estimated costs were built on 2,229 return transactions from a Scandinavian fashion footwear retailer. A digital product fitting technology was tested with the retailer’s products and resulted in estimations on how such technology could affect product returns.FindingsThe cost of a return is approximately 17% of the prime cost. The major cost elements are product handling costs and transportation costs, which together amount to 72% of the total costs. If well calibrated, the fitting technology can cut fit-related return costs by up to 80%. The findings show how customers reacted to the fitting technology: it was unable to verify fit every time, but it serves as a useful and effective support tool for customers when placing orders.Research limitations/implicationsVirtual fit verification using digital product fitting is key to retailers to reduce fit-related returns. Digital product fitting using three-dimensional scanning is more appropriate for some products, but it is unsuitable for products that are difficult to measure and scan.Originality/valueThe paper contributes an empirical estimate of retail supply chain costs associated with fit uncertainty, as well as theoretical understanding of the role of pre-sales fit verification in avoiding product returns.
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Patten, Elena, Wilson Ozuem, and Kerry Howell. "Service quality in multichannel fashion retailing: an exploratory study." Information Technology & People 33, no. 4 (January 10, 2020): 1327–56. http://dx.doi.org/10.1108/itp-11-2018-0518.
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Purpose Consumer purchasing behaviour has changed substantially in the light of recent developments in E-commerce. So-called “multichannel customers” tend to switch retail channels during the purchasing process. In order to address changing consumer behaviour, multichannel fashion retailing companies must continue to learn how to provide excellent service to such customers. The purpose of this paper is to contribute to the interpretation of multichannel service quality by explaining it from the perspective of the so-called “multichannel customers”. Design/methodology/approach Drawing on social influence theory, this paper aims to investigate these issues from the perspective of multichannel customers. In contrast with dualist and objectivist studies, this paper uses a constructivist epistemology and ethnographic methodology. Such an approach is associated with an interpretivist ontological worldview, which postulates the existence of “multiple realities”. The sample size for this research consisted of 34 in-depth interviews and 2 focus groups comprising 10 focus group participants. Findings The data analysis fundamentally found that multichannel customers tended to continually adjust choices regarding retailer and retail ckhannel when making purchases. The perspective of this paper is different from mainstream positivist service quality research which sees service quality as static, objectively measurable and dualistic. As an alternative, this paper acknowledges service quality as a dynamic, subjective and pluralistic phenomenon. Originality/value This paper contributes to the interpretation of multichannel service quality with a new concept that explains the phenomenon from the perspective of customers and thus considers it necessary for multichannel retailers to adopt strategies relating to customers’ changing behaviour.
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Akhtar, Waleed Hassan, Chihiro Watanabe, Yuji Tou, and Pekka Neittaanmäki. "A New Perspective on the Textile and Apparel Industry in the Digital Transformation Era." Textiles 2, no. 4 (December 5, 2022): 633–56. http://dx.doi.org/10.3390/textiles2040037.
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The textile and apparel (fashion) industry has been influenced by developments in societal socio-cultural and economic structures. Due to a change in people’s preferences from economic functionality to supra-functionality beyond economic value, the fashion industry is at the forefront of digitalization. The growing digitalization in the fashion industry corresponds to digital fashion, which can satisfy the rapid shift in consumers’ preferences. This paper explores the evolving con-cept of innovations in digital fashion in the textile and apparel industry. Specifically, it centers on the evaluation of Amazon’s digital fashion initiatives, which have made the platform the United States’ top fashion retailer. An analysis of the business model of Amazon’s digital fashion business showed that with the advancements in artificial intelligence (AI) powered by advanced Amazon Web Services (AWS), Amazon has introduced novel digital solutions for the fashion industry, such as advanced digital fashions (ADFs), on-demand manufacturing, neo-luxury, and, ultimately, cloud-based digital fashion platforms, that is, a supra-omnichannel, where all stakeholders are integrated, and their activities are visible in real time. This can be attributed to the learning orchestration externality strategy. This study concludes that with the advancement of digital innovations, Amazon has fused a self-propagating function that advances digital solutions. This study shows that Amazon is the largest R&D company. Its R&D process is based on users’ knowledge gained by their participation through AWS-driven ICT tools. This promotes a culture of experimentation in the development of user-driven innovations. Such innovations have further advanced the functionality of AWS in data analysis and business solutions. This dynamism promotes the development of soft innovation resources and revenue streams. These endeavors are demonstrated in a model, and their reliability is validated through an empirical analysis focused on the emergence of ADF solutions. Therefore, based on an analysis of the development trajectories of Amazon’s digital fashion technologies, such as ADFs, on-demand manufacturing, and neo-luxury, insightful suggestions and a framework for solutions beyond e-commerce are provided.
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Gugnani, Ritika, and Abhijit Nair. "Turnaround of Vaibhav Global Limited: The Television Retail Way." South Asian Journal of Business and Management Cases 6, no. 2 (November 30, 2017): 127–34. http://dx.doi.org/10.1177/2277977917726397.
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Vaibhav Global Limited (VGL) earlier known as Vaibhav Gems Limited is a global electronic retailer of fashion jewellery and lifestyle accessories operating in USA and UK. This case is about current business model which many financial professionals call ‘an impenetrable moat’ created in a turnaround of the organization after 2008 global recession. The case is on the company’s nimbleness to mould its outlook and bring in discount jewellery model so as to have a broader reach in the market. The capability to scale this model into a seamless and integrative approach augured well for its business. The company owns two TV shopping channels abroad. After 2011, VGL became a fully vertically integrated retailer. It got transformed into a B2C player from being a B2B player. It is one of few e-tailers from India which is making profits. It markets and sells products to its consumer through a televised shopping programme. It broadcasts various programmes through hosts and hostesses for describing and demonstrating its products. It is a vertically integrated company from being a gemstone sight holder to manufacturing, wholesaling to retailer. It is the only Indian company which demonstrates fully integrated E-tailing model and is profitable also. It is mainly operating into gemstone-studded jewellery of gold, silver or brass with gold plating. Lately it has also started selling lifestyle products like bags, scarves, i-phone/pad covers, etc.
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Jēgere, Sarmīte. "Modes preču tirdzniecība Covid-19 ietekmē." Sabiedrība un kultūra: rakstu krājums = Society and Culture: conference proceedings, no. XXIV (March 24, 2023): 49–59. http://dx.doi.org/10.37384/sk.2022.24.049.
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The internet is gradually becoming the main channel for the distribution of retail goods. It is also a binding distribution channel for the sale of fashion goods. It allows the retailer to post photos, video, and audio material showcasing their latest collections and sell the goods directly to the consumer through a website. According to data from the Interactive Media Retail Group, for example, the UK’s online retail turnover increased by 42% in September 2020, 35.7% in October, and 39% in November compared to the previous year. eBay also confirms this trend – every 7 seconds a product is sold on their site. The aim of this article is to analyze research about online fashion retailers conducted by US and British researchers and the results of surveys among Indian and Latvian students. Who sells fashion items online? A survey of Indian college students (Shanthi, Kannaiah, 2015) and 126 Latvian university students, as well as different researches, show that retailers offering a narrow range of goods are best represented. On the other hand, companies with recognizable brands do not use the internet. There is a conflicting opinion about the involvement of designers in the implementation of their models thru the internet. The next issue addressed in the research and surveys was what helps to create a good fashion website. Then (1999) considers three important visual aspects of a successful website for clothing buyers: - an online image of the goods that most closely matches the actual product; - demonstration of similar products; - ability to view the product from different angles (preferably in three dimensions). In the survey, Latvian students noted the following aspects: - information (information corresponds to the respective task); - possibility to perform electronic transactions; - response time. How do fashion retailers design websites? Ashwort (2005) has summarized different approaches and offers a five-step method. He believes that the success of retailers is determined by the amount of knowledge they have – moving from one stage to another. There are also differences in business planning and strategy choice, and no single dominant strategy exists. For example, some companies take a detailed, formal, well-thought-out approach to decision-making, but some have spontaneous decision-making. Who buys online? There is an opinion in life and also in literature that shopping through a catalog and mail is financially insecure. However, e-commerce is complicated further by the seemingly higher risks of securing on the internet. Respondents of foreign researchers note the possibility of buying goods without leaving home as the main positive reason. For Latvian students, the reasons are much lower prices than in local stores and more original goods unavailable in the local market. Key findings: Competition between websites is based on the way information is presented and what information is provided by website retailers. Information relevant to the task, opportunity to make a purchase, response time, price, and incentive programs are important factors in predicting customer satisfaction. There is no difference in consumer behavior between fashion innovators and ordinary buyers of fashion goods.
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Harba, Jacqueline-Nathalie. "New approaches to customer experience: where disruptive technological innovation meets luxury fashion." Proceedings of the International Conference on Business Excellence 13, no. 1 (May 1, 2019): 740–58. http://dx.doi.org/10.2478/picbe-2019-0066.
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Abstract Consumer behavior is shifting radically with the rise of e-commerce and new technologies. As a result, luxury retailers are forced to embrace a variety of technologies to keep their customers engaged. How do brands captivate shoppers and provide the customer experience that will satisfy their desires? Through dissemination of literature and case studies on examples from the industry, this paper presents a detailed discussion on the new approaches to customer experience in the luxury fashion industry, in the context of a modern economy that is highly shaped by disruptive technological innovations. The discussion includes two detailed case studies, focusing on two key themes that define contemporary customer expectations: the story – discussing customer’s desire to be immersed in the narratives behind catwalk collections, and the experience – discussing the use of technology to create a unique retail space through the use of online and mobile specific technologies. The first case study focuses on how new technologies provide brands with new opportunities to present their products through narratives. Using famous luxury retailers Dior, Givenchy and Prada as examples, the case study provides a detailed discussion on the use of virtual reality and augmented reality as tools that enable customers to project themselves into the story behind a catwalk show and become active characters in the narrative, through the use of technological devices. The second case study focuses on the importance of merging the online and the traditional brick-and-mortar store. “The Store of the Future”, by luxury retailer Farfetch is used as an example of how retailers make use of high-tech equipment, virtual reality and augmented reality not only to create a tech-powered interactive experience that will intrigue customers, but also to improve retail productivity by capturing customer data. The study adopts a qualitative research method to evaluate the validity of the concepts discussed in the Literature Review, using a sample of three in-depth interviews with industry experts, focusing on the use of technology to improve customer experience in physical retail spaces. Based on previously published research, it is estimated that the primary research will indicate that it is not the use of technology that drives the customer experience, but customer expectations that determine the adoption and adaptation of disruptive technologies to satisfy the shoppers’ requirements.
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Jajja, M. Shakeel S., and Mohsin N. Jat. "Daraz.pk: Online Marketplace’s Value Chain." Asian Journal of Management Cases 16, no. 1 (March 2019): 21–37. http://dx.doi.org/10.1177/0972820119825976.
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This case study provides an understanding of the channels through which orders at an online retail platform are fulfilled. Daraz.pk, the pioneering and leading e-commerce platform in Pakistan, started in 2012 as an online fashion retailer and evolved into a general marketplace for brands selling items ranging from electronics to home appliances to fashion. The case study is built around the decision regarding how to engage international brands in the wake of increasing local completion and the potential entry of some established international players. Highlighting the decision’s implications on logistics (and vice versa), this case study exposes various important trade-offs between in-house inventory and vendor-managed inventory. Through the example of a sales-day event conducted by Daraz, this case study also brings to light various strains that logistics could potentially face because of demand hikes and the steps that could help in managing a situation like this.
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Chaurasia, Sushil S., and Rani Poojitha Devi Kolati. "Private label outsourcing at MegaTex – necessity, accessory or a parasite?" Emerald Emerging Markets Case Studies 6, no. 3 (October 18, 2016): 1–20. http://dx.doi.org/10.1108/eemcs-03-2016-0045.
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Subject area The subject area is marketing strategy. Study level/applicability The case is well suited for MBA and executive MBA class on retailing management, strategic management, marketing strategy and brand management. Case overview Retailers see private label as a strategic weapon against brand manufacturer to increase store profitability, but looking at the private label from brand manufacturer’s perspective, determinants and strategic choices are even more complex than that of a retailer. The case is about MegaTex Ltd.’s strategic call for private label production opportunity by Maximus Fashion and Retail Limited. The case discusses the dilemma of MegaTex for manufacturing private label in spite of having their own brand in competition. The case compels to drive strategic questions such as in what circumstances brand manufacturers should concentrate on manufacturing their own brand or should they concentrate on both private label and their brand? Or, as an alternative, should they purely dedicate themselves in manufacturing private label and stop manufacturing their own brand? Expected learning outcomes Participants will be able to understand the concept and economics of private label. Participants will be able to understand the determinants and strategic choices for private label from retailer’s and manufacturer’s perspective. Participants will be able to understand the rationale for which brand manufacturer opts for manufacturing private label in spite of having its own brand in competition. Participants will be able to identify the situations under which a brand manufacturer should concentrate on manufacturing his/her own brand or both private label and his/her brand. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or e-mail support@emeraldinsight.com to request teaching notes. Subject code CSS 11: Strategy.
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Lashkova, Margarita, Carmen Antón, and Carmen Camarero. "Dual effect of sensory experience: engagement vs diversive exploration." International Journal of Retail & Distribution Management 48, no. 2 (December 17, 2019): 128–51. http://dx.doi.org/10.1108/ijrdm-09-2018-0204.
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Purpose The purpose of this paper is to examine the dual effect of sensory experiences on customer behaviour in the context of retailing. Based on the theoretical framework of the optimal stimulation level theory, the authors propose that sensory experiences reinforce satisfaction, engagement and loyalty, but increase customers’ diversive exploration and curiosity for other experiences and may eventually led to reduced loyalty. Design/methodology/approach A self-administrated online questionnaire was distributed via e-mail to 1,000 households in a Spanish town, and 325 usable responses of supermarket customers were collected. The hypothesised relationships were tested using the partial least squares approach. The analysis is extended with an experiment in online fashion stores that explores whether a varied sensory experience reinforces consumers’ diversive exploration. In total, 68 students participated in the study. Hierarchical regression analysis is performed to analyse the results of the experiment. Findings Findings support the notion that a pleasant sensory experience increases customer satisfaction and therefore their engagement and behavioural loyalty (exclusivity) towards the retailer whilst also generating more ambitious consumer expectations vis-à-vis the shopping experience and thus encouraging them to search for new retailers and, so, to be less loyal. Research limitations/implications This research warns of the risk of increasing customer’s expectations and reducing their loyalty; hence satisfaction is not enough. Retailers should consider offering new experiences and surprise customers every so often, attempting to curtail the effect of satiation or the effect of over-arousal. Originality/value The novelty of this study is the proposal of a twofold effect of sensory experience on loyalty, a positive effect, through satisfaction, and a negative effect, through the search for new experiences.
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Man Hong, Lu, and Pillo Anak Alisliza Perak. "The Factors that Influence Customer Purchase Intention: The Tale of Zalora Malaysia." JMK (Jurnal Manajemen dan Kewirausahaan) 7, no. 3 (October 8, 2022): 78. http://dx.doi.org/10.32503/jmk.v7i3.2645.
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Since Zalora Malaysia was designated as the top fashion specialised online retailer based on iPrice's Map of e-commerce, this study was done to investigate the factors that impact consumer buying intention in Zalora Malaysia. As a result, brand image, site design, and service quality are the independent variables for those elements. The intention to buy among Zalora Malaysia clients is the dependent variable of this study. Furthermore, the goal of this research is to look at the interaction between elements that impact customers' purchasing intentions in Zalora Malaysia. To confirm the research hypothesis, the researcher gathered 237 responses via a google form created by the researcher and distributed them online to any Malaysian citizen who only purchased from Zalora Malaysia and answered the questionnaire in general via Facebook or Instagram to obtain respondents aged 21 to 50 years and above. Only one hypothesis is validated and approved in this research study, according to the findings, and it is connected to the relationship between site design features and purchase consumers in the Zalora Malaysia application. The brand image and service quality elements that impact customers' purchasing intentions in the Zalora Malaysia application are two hypothetical relationship factors that are not approved and have no value. In the Zalora Malaysia application, this reveals simply the site design variables that are important and the link between client purchase intents.
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Wang, Xihui, Yonggang Wu, and Liang Liang. "A New Business Mode for FTs Chain in an E-Commerce Environment." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/675414.
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With the rise in the online demand for fashion and textiles (FTs) along with the development of e-commerce, a business mode called drop-shipping mode has emerged. Despite the fact that the drop-shipping mode has many merits, this method has less earning power compared with the traditional business mode. This study proposes a mix business mode for FTs chains in an e-commerce environment. Traditional and drop-shipping modes are special cases of the mix mode. In addition, a generalized model is built to analyze the profitability of FTs chains. Our study shows that, in most cases, the mix mode improves overall profit of FTs chain. Moreover, we consider the seasonality and the short life cycle of fashion items in analyzing the relationship between the e-retailer's optimal inventory level and demand distribution parameters. The numerical example shows that, by changing their inventory level, e-retailers can address the demand fluctuation using the mix mode. The proposed mix mode employs both business modes to enhance the profitability of a FTs chain. As such, the mix mode is an effective method to address demand fluctuation for FTs in an e-commerce environment.
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Basu, Rituparna, and Neena Sondhi. "Nykaa: retailing decisions in an emerging market." Emerald Emerging Markets Case Studies 13, no. 2 (July 24, 2023): 1–39. http://dx.doi.org/10.1108/eemcs-12-2022-0449.
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Learning outcomes By working through the case and assignment questions, students will be able to conduct a marketing environmental analysis to aid strategic decisions; analyse the first-mover advantages of a retail firm and how these can be sustained; comprehend online retail business models and the challenges therein; understand the trade-offs of online/offline retail experiences specific to an emerging market’s beauty and personal care sector; conceptualize and formulate actionable growth strategies that balance the individual and collective requirements of brick and mortar and retail e-commerce environments. Case overview/synopsis The case is set in 2022, right after Nykaa – the pioneer of beauty and wellness e-commerce platforms in India makes a blockbuster stock market debut in 2021. Starting in 2012 with a disruptive online model for selling beauty and wellness products online in India, Nykaa had come a long way with expansions in physical retail and other segments such as fashion. The firm, which initially aimed to be a virtual store, is now thinking of aggressively expanding in the brick-and-mortar retail space as it opens its 85th retail outlet. Falguni S. Nayar, founder and CEO of Nykaa, wanted to roll out 300 physical stores targeting 100 cities in India in the next couple of years. She aspired to establish Nykaa as a category leader as the “Indian Sephora” in the beauty and personal care market. Nykaa’s first-mover advantage in the online beauty and personal care marketplace worked well to establish it as a brand with positive endorsements by digital shoppers that enhanced the investment potential with potential financiers. However, the pandemic had brought every physical retailer to the online platform. Most e-commerce platforms dealing in grocery to lifestyle had added personal care products to their existing merchandise. Additionally, several start-ups had ventured into the online marketplace. Online was a cluttered marketplace with little to no differentiation. In this bloodbath, would the first-mover advantage for Nykaa in the online space still count as a competitive advantage? Nayar was all set to expand Nykaa’s physical presence aggressively. The concern was that the beauty and personal care segment had also moved online as a function of long stay-at-home periods. In the post-pandemic times, would the customer indeed revert to brick and mortar once again? Nykaa was also into product formulations, but so was every big and small player in the space. What was the differentiated winning formula for the consumer’s heart and mind? Complexity academic level The case can be effectively used in foundation courses in marketing and a wide range of specialized courses on marketing management (core/foundation course), retail marketing and e-commerce/digital marketing and e-commerce for B-school learners. The complex decision points faced by an innovative e-commerce start-up firm on its road to market expansion make the case suitable for niche courses such as Marketing for Start-ups. Moreover, learners in executive MBA programs with considerable experience can benefit from the case analysis that balances a growing retail company’s long- and short-run objectives. Supplementary materials Teaching notes are available for educators only. Subject code CSS 8: Marketing.
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Rodríguez, Pablo Gutiérrez, Ricardo Villarreal, Pedro Cuesta Valiño, and Shelley Blozis. "A PLS-SEM approach to understanding E-SQ, E-Satisfaction and E-Loyalty for fashion E-Retailers in Spain." Journal of Retailing and Consumer Services 57 (November 2020): 102201. http://dx.doi.org/10.1016/j.jretconser.2020.102201.
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Connon, Neil, Bill Donaldson, and Alistair R. Anderson. "Old fashioned or enlightened? Small retailers' practices in e-procurement." International Journal of Technology Marketing 7, no. 1 (2012): 47. http://dx.doi.org/10.1504/ijtmkt.2012.046431.
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Singh, Shekhar, and Sandeep Srivastava. "Engaging consumers in multichannel online retail environment." Journal of Modelling in Management 14, no. 1 (February 11, 2019): 49–76. http://dx.doi.org/10.1108/jm2-09-2017-0098.
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Purpose With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers. Design/methodology/approach A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion. Findings The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion. Practical implications The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem. Originality/value In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.
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Parker, Christopher J., and Lu Wenyu. "What influences Chinese fashion retail? Shopping motivations, demographics and spending." Journal of Fashion Marketing and Management: An International Journal 23, no. 2 (May 13, 2019): 158–75. http://dx.doi.org/10.1108/jfmm-09-2017-0093.
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PurposeThe purpose of this paper is to establish the influence of shopping motivations on Chinese fashion retail engagement relative to demographics, monthly spend on fashion items and high street/electronic commerce (e-commerce) preference. This is to determine how international fashion retailers should design more effective retails channels, expanding upon established theory in Hedonic and utilitarian motivations. While earlier research suggests shopping motivations associate with demographics while influencing retail channel preference and consumer spending, much of this exploration is Western focused, with all variables being influential. However, the degree to which these apply to China, and the unique fingerprint of influential motivations remains unknown. This paper answers these questions to allow international retailers to develop more efficient marketing strategies and design more effective retail channels.Design/methodology/approachIn all, 403 Chinese consumers generalisable to the broader population were surveyed on their hedonic and utilitarian motivations to shop for fashion apparel in high street and e-commerce environments. Statistical analysis was commenced through direct logistic regression and MANOVA.FindingsDemographics have limited association with shopping motivations, with gender and age only producing small effect sizes, while occupation, income and education has no significance. High street store preference is influenced by adventure and social shopping and e-commerce preference only by idea shopping. Spending over ¥1k per month on fashion apparel is influenced by gratification and idea shopping, and regular spending habits inspired by value shopping.Originality/valueThis empirical paper characterises the fingerprint of shopping motivations’ influence as singular to China while proving their limitation and need for a wider plethora of influential factors to be recognised.
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Mir-Bernal, Pedro, Simone Guercini, and Teresa Sádaba. "The role of e-commerce in the internationalization of Spanish luxury fashion multi-brand retailers." Journal of Global Fashion Marketing 9, no. 1 (November 30, 2017): 59–72. http://dx.doi.org/10.1080/20932685.2017.1399080.
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Kaushik, Vineet, and Sanjay Dhir. "Non-conformance in apparels: exploring online fashion retail in India." Journal of Fashion Marketing and Management: An International Journal 23, no. 2 (May 13, 2019): 257–76. http://dx.doi.org/10.1108/jfmm-05-2018-0067.
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Purpose The purpose of this paper is to study, explore and rank the non-conforming factors in apparels purchased from e-shops. Design/methodology/approach Data were collected by visiting and interacting people in colleges and through the structured online questionnaires (n=222). The exploratory factor analysis was performed using “R” software. Identified factors were ranked using AHP methodology; 12 experts from various fashion institutes participated in identifying the factors. Findings Based upon the results of the exploratory study, non-conforming factors such as “visual variation”, “functional inconvenience”, “cloth attribute variation”, “haptic variation”, “aesthetic variation” and “fit variation” were identified. The priority ranking of factors and sub-factors was done. Research limitations/implications The sample primarily comprised of the young adult population (19–27 years) and most of them were females (71.6 per cent). There can be other demographic factors. Research is limited to online apparel retailers. Advanced methods of prioritisation can be used. Practical implications The paper can be useful to online apparel retailers, vendors and manufacturers to understand the factors that may be important for improving their business. Originality/value There is no study that identifies the non-conformance factors related to online apparel retailing.
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Jadhav, Abhilasha, Palak Songirkar, and Prithviraj Nikam. "Trend Hunters E-Shop for Trending Fashion." Journal of Big Data Technology and Business Analytics 1, no. 1 (April 25, 2022): 1–6. http://dx.doi.org/10.46610/jbdtba.2022.v01i01.001.
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The main goal of the study is to learn the importance of e-shop in today's competitive market. How will offline retailers survive? And how to provide best services?How to present better product in less prize and maintain relationship among the existing customers. In today’s time it is very advantageous to provide your services and product online along with the offline services it will add excellence to a business, because a lot of people prefer shopping online and Online shopping is a common trend among the customers. However, with the advent of the Internet, the condition of the shopkeepers has become miserable. In addition, a new trend of online shopping has emerged in the last years, which offers a lot of possibilities for buying items and products. People are getting used to this trend; however, some people still go to the store to make purchases. The study of this topic will help in to understand the effect of online stores and it will also help in developing and understanding of the different frameworks and models related to E-shop and the advantage of developing an E-shop for a real store, outlets. Now days due to changing business environment it is very important to respond the need of customers in most effective manner. If you’re existing customers want to view your shop online to have easy and quick access to your products and services.
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Jadhav, Abhilasha, Palak Songirkar, and Prithviraj Nikam. "Trend Hunters E-Shop for Trending Fashion." Journal of Big Data Technology and Business Analytics 1, no. 1 (April 25, 2022): 1–6. http://dx.doi.org/10.46610/jbdtba.2022.v01i01.001.
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The main goal of the study is to learn the importance of e-shop in today's competitive market. How will offline retailers survive? And how to provide best services?How to present better product in less prize and maintain relationship among the existing customers. In today’s time it is very advantageous to provide your services and product online along with the offline services it will add excellence to a business, because a lot of people prefer shopping online and Online shopping is a common trend among the customers. However, with the advent of the Internet, the condition of the shopkeepers has become miserable. In addition, a new trend of online shopping has emerged in the last years, which offers a lot of possibilities for buying items and products. People are getting used to this trend; however, some people still go to the store to make purchases. The study of this topic will help in to understand the effect of online stores and it will also help in developing and understanding of the different frameworks and models related to E-shop and the advantage of developing an E-shop for a real store, outlets. Now days due to changing business environment it is very important to respond the need of customers in most effective manner. If you’re existing customers want to view your shop online to have easy and quick access to your products and services.
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Kim, Jung-Hwan, Minjeong Kim, and Sharron J. Lennon. "E-Service Performance of Apparel E-Retailing Websites." International Journal of Service Science, Management, Engineering, and Technology 9, no. 1 (January 2018): 24–40. http://dx.doi.org/10.4018/ijssmet.2018010103.
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This article takes a longitudinal approach to examine the evolution of e-retail sites in reference to service delivery performance. Using a content analysis approach, product-related e-service attributes currently available on women's apparel websites were identified and quantified in order to compare them to data collected in an earlier time frame. A Chi-square Goodness-of-Fit test was conducted to compare availability of e-service attributes in 2011 and 2016. The current retailers provided more product description/presentation attributes on their websites than in the 2011 research. However, they are still at an unsatisfactory level that need further improvement. This article offers practical insights for fashion websites in terms of the areas of strengths and weakness in e-service performance by exploring how e-service performance of apparel e-retailers has changed over the past five years.
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Jain, Shailesh, and Aradhana Vikas Gandhi. "Impact of artificial intelligence on impulse buying behaviour of Indian shoppers in fashion retail outlets." International Journal of Innovation Science 13, no. 2 (January 22, 2021): 193–204. http://dx.doi.org/10.1108/ijis-10-2020-0181.
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Purpose This paper aims to understand the impact of modern technologies such as artificial intelligence on impulse buying behaviour of Indian shoppers specifically in fashion retail outlets. Design/methodology/approach The empirical study on the effect of artificial intelligence on impulse purchase decisions was conducted through an e-survey of the Indian shoppers. The data collected was analysed using factor analysis and multiple regression analysis. Findings The impact of modern technologies which are used by the retailers to enhance sale and consumer engagement was studied. The relationship between use of artificial intelligence parameters such as the purchase duration, recommended products, product information and human interaction and its impact on Impulse Purchase was studied and the results revealed that all these factors except product information had a significant impact on the impulse purchase decision of the buyer. Practical implications This study will be useful to the fashion retailers to gauge the effect of incorporating artificial intelligence and its impact on driving sales by attracting shoppers to their outlets. Originality/value This study specifically focusses on the impact of modern technologies on impulse purchase of Indian shoppers in fashion retail outlets. Other research works have focussed on impact of visual merchandising, store layouts, store environment and promotional activities on impulse purchases. This is one of the few studies which deals with the impact of artificial intelligence on impulse buying behaviour of Indian shoppers specifically in the fashion retail segment.
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Chakraborty, Samit, Md Saiful Hoque, Naimur Rahman Jeem, Manik Chandra Biswas, Deepayan Bardhan, and Edgar Lobaton. "Fashion Recommendation Systems, Models and Methods: A Review." Informatics 8, no. 3 (July 26, 2021): 49. http://dx.doi.org/10.3390/informatics8030049.
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In recent years, the textile and fashion industries have witnessed an enormous amount of growth in fast fashion. On e-commerce platforms, where numerous choices are available, an efficient recommendation system is required to sort, order, and efficiently convey relevant product content or information to users. Image-based fashion recommendation systems (FRSs) have attracted a huge amount of attention from fast fashion retailers as they provide a personalized shopping experience to consumers. With the technological advancements, this branch of artificial intelligence exhibits a tremendous amount of potential in image processing, parsing, classification, and segmentation. Despite its huge potential, the number of academic articles on this topic is limited. The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques. To the best of the authors’ knowledge, this is the first scholarly article to review the state-of-the-art fashion recommendation systems and the corresponding filtering techniques. In addition, this review also explores various potential models that could be implemented to develop fashion recommendation systems in the future. This paper will help researchers, academics, and practitioners who are interested in machine learning, computer vision, and fashion retailing to understand the characteristics of the different fashion recommendation systems.
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Bilińska-Reformat, Katarzyna, and Anna Dewalska-Opitek. "E-commerce as the predominant business model of fast fashion retailers in the era of global COVID 19 pandemics." Procedia Computer Science 192 (2021): 2479–90. http://dx.doi.org/10.1016/j.procs.2021.09.017.
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Dlodlo, Nobukhosi. "Developing An Online Shopping Value Framework For Consumers Of Non-Store Fashion Brands." International Business & Economics Research Journal (IBER) 13, no. 6 (October 31, 2014): 1359. http://dx.doi.org/10.19030/iber.v13i6.8925.
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The explosion of the Internet has considerably transformed the fashion industry, by providing a substitute for traditional retail marketing formats. As such, the theory on customer value has taken pre-eminence in determining consumers behavioural intentions. The main objective of this study was to examine the possible existence of relationships between consumer perceived value, attitudes and the related e-purchase consequence variable. The study followed a quantitative survey approach in which 206 experienced Internet users of online shopping in South Africa. Data were analysed through Principal Component Analysis using Varimax rotation, nonparametric correlation analysis and regression analysis. Three dimensions were extracted, namely: utilitarian value (?=.852), hedonic value (?=.901) and social engagement value (?=.925) in order of performance on the mean score ranking results. Moreover, the Pearson correlation results indicated that online shopping value dimensions positively influenced attitude and consequently, e-purchase intentions among shoppers. Furthermore, regression analysis results showed that brand attitude played an important moderating role between value and e-purchase intentions. The variables investigate in this study constitute a central differentiation factor which impacts on attitude evaluations, intention to purchase as well as the willingness to visit the website and share this experience with others. The study is important in that, at the micro-level, e-retailers can tailor the identified dimensions towards improving the shopping experience among specific online market segments. At the macro-level, identifying the online shopping value dimensions would provide fashion marketers with a basis for developing an inclusive marketing differentiation strategy for their non-store brands.
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Lim, Kah Boon, Sook Fern Yeo, Yiin Chii Ong, and Cheng Ling Tan. "COVID-19: Online Fashion Purchase Intention among Millennials." GATR Journal of Management and Marketing Review (GATR JMMR) VOL. 6 (3) JULY - SEPTEMBER 2021 6, no. 3 (September 29, 2021): 181–90. http://dx.doi.org/10.35609/jmmr.2021.6.3(4).
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Objective - The global spread of coronavirus disease (COVID-19) has caused a negative impact on the global economy. Customers' purchasing habits are also shifting from traditional store visits to online store purchases. Millennials or Generation Y constitute a large proportion of consumers across the global digital space. Hence, the main objective of this study is to examine the purchase intention of millennials towards online fashion stores during COVID-19 pandemic. Methodology/Technique - A set of self-administered questionnaires has been distributed to 230 respondents which age range from 20 years old to 40 years old in three states of Malaysia which are Johor, Melaka, and Selangor. The five independent variables which are fashion innovativeness, perceived security, perceived value, information quality and cost saving have been tested on their relationship towards the dependent variable which is purchasing intention towards online fashion. The collected data were keyed into SPSS version 25 and followed by using Partial Least Square Structural Equation Modelling (PLS-SEM 3.3.3) to assess the hypothesis. Findings - The research findings indicated that the key factors of fashion innovativeness, information quality and cost saving which have significant relationship towards the millennials' purchase intention from online fashion stores during COVID-19 pandemic. Novelty - To the authors' knowledge, this is the first methodological study which include the five independent variables to examine millennial's purchasing intention towards online fashion during the COVID-19 pandemic. The findings of this research will help e-retailers of online fashion stores understand the factors that influence millennials' purchase intentions. Type of Paper - Empirical. Keywords: COVID-19; Fashion innovativeness; Millennials; Online fashion; Purchase intention JEL Classification: M30, M31
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Lim, Kah Boon, Sook Fern Yeo, Yiin Chii Ong, and Cheng Ling Tan. "COVID-19: Online Fashion Purchase Intention among Millennials." GATR Journal of Management and Marketing Review (GATR JMMR) VOL. 6 (3) JULY - SEPTEMBER 2021 6, no. 3 (September 29, 2021): 181–90. http://dx.doi.org/10.35609/jmmr.2021.6.3(4).
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Objective - The global spread of coronavirus disease (COVID-19) has caused a negative impact on the global economy. Customers' purchasing habits are also shifting from traditional store visits to online store purchases. Millennials or Generation Y constitute a large proportion of consumers across the global digital space. Hence, the main objective of this study is to examine the purchase intention of millennials towards online fashion stores during COVID-19 pandemic. Methodology/Technique - A set of self-administered questionnaires has been distributed to 230 respondents which age range from 20 years old to 40 years old in three states of Malaysia which are Johor, Melaka, and Selangor. The five independent variables which are fashion innovativeness, perceived security, perceived value, information quality and cost saving have been tested on their relationship towards the dependent variable which is purchasing intention towards online fashion. The collected data were keyed into SPSS version 25 and followed by using Partial Least Square Structural Equation Modelling (PLS-SEM 3.3.3) to assess the hypothesis. Findings - The research findings indicated that the key factors of fashion innovativeness, information quality and cost saving which have significant relationship towards the millennials' purchase intention from online fashion stores during COVID-19 pandemic. Novelty - To the authors' knowledge, this is the first methodological study which include the five independent variables to examine millennial's purchasing intention towards online fashion during the COVID-19 pandemic. The findings of this research will help e-retailers of online fashion stores understand the factors that influence millennials' purchase intentions. Type of Paper - Empirical. Keywords: COVID-19; Fashion innovativeness; Millennials; Online fashion; Purchase intention JEL Classification: M30, M31
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Dove, Tanya. "Facilitating Teaching and Learning with Made to Measure Fashion Design and Creation MOOC Courses." International Journal of Information and Education Technology 10, no. 10 (2020): 792–96. http://dx.doi.org/10.18178/ijiet.2020.10.10.1460.
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Massive Online Open Courses (MOOC) provides a flexible and engaging learning environment. A MOOC in Apparel Technology facilitates a comprehensive e-Learning platform, with a variety of instructional videos and technical resources, which will foster a technical foundation in pattern cutting and sewing for learners. Apparel technology is a core skill for fashion design students; however, universities only address a limited range of construction techniques within their curriculum. Students work towards model size apparel for their graduate fashion shows, which limit the learner’s knowledge in developing apparel for different body shapes. A MOOC in Apparel Technology would facilitate learners with the skills and knowledge to develop apparel for different sizes and figure shapes, with fit assessment and problem-based forums on fit solutions. With many retailers now providing a global platform for the sales of clothing, the sizing of women’s clothing is an area of concern in the fashion industry, ‘one size does not fit all’. The inconsistencies in garment sizing can contribute to the dissatisfaction of garment fit, leaving women unable to find, or know, what size fits their body shape. MOOC incorporates an innovative design and e-Learning platform, in a less structured approach, which harnesses learning in an interactive setting, with online interactions prompting learners to collaborate, share ideas and examples, in a less structured environment.
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Lee Blaszczyk, Regina. "Styling Synthetics: DuPont's Marketing of Fabrics and Fashions in Postwar America." Business History Review 80, no. 3 (2006): 485–528. http://dx.doi.org/10.1017/s000768050003587x.
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Scholars have studied innovation from various perspectives, but few have considered the interaction between big business and the fashion marketplace. This study examines the efforts of E. I. du Pont de Nemours & Company to create and expand the American synthetic-fibers market after World War II. DuPont described this work as transforming the “relatively simple ‘art’ of selling fabric” into the “complicated ‘science’ of marketing.” This process involved developing in-house marketing expertise and reaching out to sources as disparate as American fabric designers, Parisian couturiers, Seventh Avenue manufacturers, southern textile giants, and mass-market retailers. To promote the “wonders” of synthetic fibers, DuPont relied on “fashion intermediaries” to determine what customers wanted and how its fibers could meet those needs. This study suggests that the mass-market success of DuPont's synthetic fibers owed as much to creative marketing, styling, and performance as it did to industrial research and organizational innovation.
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Frasquet-Deltoro, Marta, María-del-Carmen Alarcón-del-Amo, and Carlota Lorenzo-Romero. "Antecedents and consequences of virtual customer co-creation behaviours." Internet Research 29, no. 1 (February 4, 2019): 218–44. http://dx.doi.org/10.1108/intr-06-2017-0243.
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Purpose The purpose of this paper is to compare the antecedents and consequences of two distinct types of virtual co-creation behaviours that require different degree of effort from the customer, i.e. customer participation (CPB), and customer citizenship (CCB) behaviour, in a cross-cultural study. Design/methodology/approach A survey was conducted among members of online panels in the UK and Spain, reaching a sample of 800 online individuals who participate in online co-creation processes with fashion retailers. This design allows us to test the cross-cultural effects. Multi-group structural equations modelling was used to analyse the data. Findings Virtual co-creation behaviours are driven by perceived ease-of-use of the co-creation platform, electronic word-of-mouth (e-WOM) quality and fashion involvement; however, the effects are different on CPB, affected by perceived ease-of-use more strongly, and on CCB, driven by e-WOM quality and fashion involvement more strongly. Higher level of co-creation increases satisfaction with co-creation, which mediates the effect on engagement and intention of future co-creation. The cross-cultural design reveals that most relationships hold in both countries, with the exception of the influence of fashion involvement on CPB, while some differences in the size of the effects appear between countries. Originality/value This study contributes to increasing our knowledge on online co-creation in several ways. First, the authors investigate, in the online environment, two co-creation behaviours, CPB and CCB, and compare their antecedents. This paper provides a cross-cultural validation of the relationships between CPB and CCB’s antecedents and consequences, identifying the different effects due to culture.
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M. Kang, Ju-Young. "Repurchase loyalty for customer social co-creation e-marketplaces." Journal of Fashion Marketing and Management 18, no. 4 (September 2, 2014): 452–64. http://dx.doi.org/10.1108/jfmm-06-2013-0083.
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Purpose – Social co-creation refers to the process of using social media as a vehicle to carry out customer co-creation engagements. By allowing many customers to contribute to a specific co-creation initiative, social media makes co-creation platforms more efficient. The purpose of this paper is to examine: first, whether usability and information quality, visual appeal and image, interactivity, and web innovativeness, as perceived web site quality dimensions, were related to value equity; second, whether value equity was related to commitment and repurchase loyalty to social co-creation; and third, the moderating effects of aesthetic appreciation and fashion opinion leadership. Design/methodology/approach – The conceptual foundation was based on the Quality-Value-Satisfaction model. Data were collected from US online apparel shoppers (n=691) using a consumer panel via an online survey. Structural equation modeling was employed to test the proposed model and research hypotheses. Findings – Usability and information quality, visual appeal and image, interactivity, and web innovativeness had indirect influences on commitment and repurchase loyalty, mediated by value equity of social co-creation. Originality/value – This proposed model may provide useful insights for apparel e-retailers to use in order to differentiate their e-strategies and develop successful social co-creation web sites. Furthermore, the proposed strategies will enable apparel e-retailers to fulfill customers’ increasing demand for more interactive and online social shopping experiences that utilize the customer's own creativity.
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Baeshen, Yasser Ali. "FACTORS INFLUENCING CONSUMER PURCHASE INTENTION WHILE BUYING ONLINE." International Journal of Research -GRANTHAALAYAH 9, no. 2 (February 26, 2021): 99–107. http://dx.doi.org/10.29121/granthaalayah.v9.i2.2021.3293.
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Motivation/Background: Today, it is very imperative to study the factors that effect and predict the purchase intention of consumer online shopping. E-tailers and e-commerce is expanding very quickly, especially clothing and fashion brands have shifted to electronic channels to reach out their clients. This is one of the reasons that apparel is amongst the most sold items online. The purpose of this research is to identify the factors that influence consumer choices and which factors have significant effect on consumer purchase intention while online shopping fashion apparel.
Method: This research has adopted quantitative approach and explanatory research purpose to establish relationship between four independent variables: Convenience, Price, Information and Security on the dependent variable (Consumer purchase intention). Survey response from 300 consumers was collected through online questionnaire and distributed through convenience sampling.
Results: Data collected was analyzed on SPSS. For two hypotheses, correlation test one-sample t-test was conducted. Further, two hypothesis were analyzed by regression analysis. All four hypotheses were accepted. Results conclude that there is a significant relationship between online purchase intention of consumer and its factors such as price, convenience, security and information about product or service.
Conclusions: This study has many implications for small retailers to focus on factors that can make it easier selling online. Security measures to protect user data are very vital to bring user back on the e-tailing website or webpage.
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Briliana, Vita, Nabsiah Abdul Wahid, and Yudi Fernando. "The Effect of Motivation, Opportunity, Ability and Social Identity Towards Customer-to-Customer Online Know-How Exchange." Advanced Science Letters 21, no. 4 (April 1, 2015): 819–22. http://dx.doi.org/10.1166/asl.2015.5887.
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Motivation-Opportunity-Ability (MOA) theory and Social Identity (SI) theory have been used separately as theories that predict the customer-to-customer online know-how exchange (C2C) or e-WOM behavior. By integrating both theories in one framework, this study investigates whether motivation, opportunity, ability and social identity (MOASI) act as predictor for customer-to-customer online to know how to exchange (C2C). Analyzed data from an online survey on 355 batik online community members of a BlackBerry Messenger Group using Structural Equation Modeling (SEM) revealed that only MOA fits very well as a predictor of C2C. In addition, ability is found to be the highest influencer on C2C followed by motivation, opportunity and social identity. The findings imply the importance of MOA as important predictors to a C2C behavior which should not be avoided by the Indonesian batik fashion industry e-retailers when they develop specific marketing strategies and tactics to sell their products through C2C.
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Mushtaq, Hammad, Yan Jingdong, Mansoora Ahmed, and Muhammad Ali. "Building Usage Attitude for Mobile Shopping Applications: an Emerging Market Perspective." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 5, no. 6 (2019): 21–28. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.56.1003.
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Mobile commerce has gained pace in recent years, providingan extended interaction channel between consumers and online retailers. Regardless of a significant increase in mobile internet usage, the adoption of mobile e-commerce (MC) services has not been as far-reached in the growing economies of the world. Recently, research in the e-commerce applied Technology Acceptance Model (TAM) indicated contradicting results.Some research studies found perceived usefulness has a significant effect on online purchase attitude, whereas in another study it was insignificant. We understand this, among many other factors, to be a consequence of the different levels of internet usage and its penetration in the region. We performed this study in Pakistan origin, a growing economy, where internet usage has significantly increased in the last decade or so. The e-commerce industry reviews pointed out that low consumer trust and poor logistics might be the key constraints in B2C mobile e-commerce adoption in Pakistan. Based on these grounds we adapted TAM by including consumer trust belief in mobile e-commerce and excluding perceived ease of use, as many research studies reported it insignificant for online shopping context. The proposition developed that trust in online shopping has an impact on improved perceptions about the usefulness of this interaction channel between online buyers and sellers. This positive usage attitude facilitates favorable online purchase intentions. The research conducted based on empirical evidence from Pakistan, and the model was developed on the bases of TAM, consumer trust in MC, and perceived usefulness and trust in mobile e-commerce. An online questionnaire survey was distributed to gather responses. Data analysis was performed with the partial least square technique or structured equation modeling. The research findings show that belief in trustworthiness of e-commerce has a more significant impact on usage attitude for mobile e-commerce as compared to PU. This implicates that online retailers in Pakistan should focus more on developing trust of their prospects by providing trust cues and other trust-building mechanisms. The research model empirically studied on evidence from Pakistan was first of its kind . In the future, the research can be conducted on specific categories of items (such as apparel fashion, technology base products) or services (such as traveling, hotels) developing effective strategies for retailers in B2C mobile e-commerce.
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Saeed Alshehri, Manal, Noor Azman Ali, Shafie Sidek, and Jacky Cheah Jun Hwa. "Determinants that Affect Females’ Attitudes Toward Online Shopping in the Western Region of Saudi Arabia." Advances in Social Sciences Research Journal 9, no. 7 (July 28, 2022): 296–306. http://dx.doi.org/10.14738/assrj.97.12654.
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This research aims to determine the factors that influence females’ attitude toward online shopping in Saudi Arabia. The potential and main theory that is selected for this study is the Theory of Acceptance Model (TAM) which studies online shopping acceptance of new technology through two important variables which are perceived ease of use and perceived usefulness. Furthermore, this research has included the factors of site quality, site credibility, and customer fashion lifestyle. The self-administrated method has been used to distribute the questionnaire for the respondents, who are selected by utilizing the judgement sampling technique. 320 questionnaires were valid for analysing. SPSS and Smart PLS software have been employed for analysing the data of study. The finding of the present pointed out that perceived ease of use, site quality, and customer fashion lifestyle have a significant positive relationship with females’ attitude toward online shopping. In contrast, usefulness and site credibility were not statistically significant. This study has significantly contributed to literature on the shopper’s attitude toward online shopping. On the other hand, the findings of this study represented a guideline for e-retailers in Saudi Arabia to increase and maintain online shoppers for the long term and compete with other competitors. Finally, study limitations are discussed, and future study directions are proposed.
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Kusumastuti, Retno Dyah, Siti Maryam, Ana Kuswanti, and Airlangga Surya Kusuma. "Online Buying Behavior During Covid – 19 Pandemic: A Descriptive Analysis Study." International Journal of Business Studies 6, SI (February 1, 2022): 1–13. http://dx.doi.org/10.32924/ijbs.v6i1.189.
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Since its first inception during the 1990s, electronic commerce (e-commerce) has revolutionized costumers buying behavior and caused the costumers to shift from traditional brick-and-mortar stores into online stores. In Indonesia, e-commerce market has enjoyed rapid growth around 60 to 70 percent annually since 2014. On the other hand, the Covid – 19 pandemic is still ravaging Indonesia. This pandemic caused concerns among costumers in Indonesia, due to the higher risk of Covid – 19 transmission during buying activities in traditional brick-and-mortar stores. Thus, buying from online stores became more convenient and safer option for customers. The purpose of this research is to investigate about customers online buying behavior during the Covid – 19 pandemic. This research utilized quantitative and descriptive approach, with 200 respondents participated during the survey. The findings of this research are that the majority of respondents might have shifted from offline buying to online buying, albeit not significantly. On the other hand, the majority of respondents chose to not spend a large amount of money for online buying activities. The majority of respondents also bought fashion and beauty care products from online platforms, and because of Covid – 19 pandemic, a large number of respondents also bought healhcare equipment from online platforms. The implication of this research is that it would be better if traditional brick-and-mortar retailers start transitioning to e-commerce, since customers might permanently shift to online buying, even after the Covid – 19 pandemic has been contained.
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Yeruva, Sagar, Addi Sathvika, Damera Sruthi, Duggasani Yaswanth Reddy, and Gogineni Gopi Krishna. "Apparel Recommendation System using Content-Based Filtering." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 4 (November 30, 2022): 46–51. http://dx.doi.org/10.35940/ijrte.d7331.1111422.
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Nowadays, people are constantly moving towards various fashion products as a result the e-commerce market for garments is growing rapidly. Online stores must update their features according to user requirements and preferences. However, there are too many options for users to select from these online stores which may leave them in a dilemma to identify the correct outfit, save the user time, and increase sales, efficient recommendation systems are becoming a necessity for online retailers. In this paper, we proposed an Apparel Recommendation System that generates recommendations for users based on their input. We used a real-world data set taken from the online market giant Amazon using Amazon’s Product Advertising API. We aim to use keywords like brand, color, size, etc., to recommend. Data exploration to get detailed information about our dataset, Data Cleaning(pre-processing) to remove invalid sections, Model selection (We have compared different feature extraction techniques like bag of words, TF-IDF, and word2vec model) to find out efficient techniques and Deployment of the model that could facilitate recommendation system to simplify the task of apparel recommendation system. The accuracy of the model is identified using the response time and content matching.
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Foysal, Kamrul Hasan, Hyo-Jung (Julie) Chang, Francine Bruess, and Jo-Woon Chong. "Body Size Measurement Using a Smartphone." Electronics 10, no. 11 (June 2, 2021): 1338. http://dx.doi.org/10.3390/electronics10111338.
Full textAbstract:
Measuring body sizes accurately and rapidly for optimal garment fit detection has been a challenge for fashion retailers. Especially for apparel e-commerce, there is an increasing need for digital and convenient ways to obtain body measurements to provide their customers with correct-fitting products. However, the currently available methods depend on cumbersome and complex 3D reconstruction-based approaches. In this paper, we propose a novel smartphone-based body size measurement method that does not require any additional objects of a known size as a reference when acquiring a subject’s body image using a smartphone. The novelty of our proposed method is that it acquires measurement positions using body proportions and machine learning techniques, and it performs 3D reconstruction of the body using measurements obtained from two silhouette images. We applied our proposed method to measure body sizes (i.e., waist, lower hip, and thigh circumferences) of males and females for selecting well-fitted pants. The experimental results show that our proposed method gives an accuracy of 95.59% on average when estimating the size of the waist, lower hip, and thigh circumferences. Our proposed method is expected to solve issues with digital body measurements and provide a convenient garment fit detection solution for online shopping.
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Anggara, Ahmad Khabib Dwi, and Ririn Tri Ratnasari. "Pengaruh Store Attribute terhadap Customer Experience dan Brand Loyalty." Jurnal Ekonomi Syariah Teori dan Terapan 9, no. 3 (May 31, 2022): 379–87. http://dx.doi.org/10.20473/vol9iss20223pp379-387.
Full textAbstract:
ABSTRAK Industri fashion muslim di Indonesia saat ini sedang mengalami transformasi besar yang didorong oleh beberapa tren. Seiring dengan adanya transformasi teknologi saat ini, media sosial sebagai tempat berekspresi diri mendorong munculnya fast fashion yang mengacu pada praktik industri di mana pelaku industri fashion menawarkan berbagai macam produk baru dengan konsep pergantian mode yang cepat dan paling disukai pasar. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh store attribute terhadap customer experience, dan brand loyalty pada toko Hijup. Pengumpulan data dilakukan dengan kuesioner yang melibatkan 150 responden yang pernah mengunjungi dan berbelanja di toko Hijup dalam 12 bulan terakhir. Metode Path Analysis dilakukan untuk mengetahui bagaimana store attributes mempengaruhi customer experience dan brand loyalty dalam industri ritel fashion. Hasil penelitian menunjukkan bahwa store attribute memiliki pengaruh positif signifikan terhadap customer experience di dalam toko Hijup. Kemudian, ditemukan juga pengaruh positif signifikan antara customer experience terhadap brand loyalty. Adanya penelitian ini diharapkan dapat membantu toko Hijup sebagai pelaku retail khususnya di industri fashion muslim untuk meningkatkan store attribute mereka sehingga para peretail dapat menciptakan loyalitas bagi konsumen mereka. Kata kunci: Store Attribute, Customer Experience, Brand Loyalty, Toko Hijup. ABSTRACT The Muslim fashion industry in Indonesia is currently undergoing a major transformation shared by several trends. Along with the current technological transformation, social media as a place for self-expression encourages the emergence of fast fashion which refers to industrial practices where fashion industry players offer a variety of new products with the concept of rapid change and are most favored by the market. This study aims to determine how the influence of store attributes on customer experience, and brand loyalty at Hijup stores. Data were collected using questionnaires involving 150 respondents who had visited and purchased at Hijup stores in the last 12 months. The path Analysis method was conducted to find out how store attributes affect customer experience and brand loyalty in the fashion retail industry. The results showed that store attributes had a significant positive effect on customer experience in Hijup stores. Then, it was also found that there was a significant positive effect between customer experience on brand loyalty. This research is expected to help Hijup stores as retail players, especially in the Muslim fashion industry to increase their store attributes so that retailers can create loyalty for their consumers. Keywords: Store Attribute, Customer Experience, Brand Loyalty, Hijup Store. DAFTAR PUSTAKA Bıçakcıoğlu, N., Ilayda, İ., & Bayraktaroğlu, G. (2016). Antecedents and outcomes of brand love: the mediating role of brand loyalty. Journal of Marketing Communications, 24(8), 1–15. https://doi.org/10.1080/13527266.2016.1244108 Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103–113. https://doi.org/10.1016/j.chb.2016.03.014 BRP & Windstream E. (2018). Retail’s digital crossroads: The race to meet shopper expectations. Retrieved from https://www.windstreamenterprise.com/wp-content/uploads/2018/07/windstream-retail-pov.pdf Choi, T. (2013). Fast fashion systems: Theories and applications. Florida USA: CRC Press. Finn, A. (2004). A reassessment of the dimensionality of retail performance: a multivariate generalizability theory perspective. Journal of Retailing and Consumer Services, 11(4), 235-245. http://dx.doi.org/10.1016/S0969-6989(03)00050-X Gentile, C., Spiller, N., & Noci, G. (2007). How to sustain the customer experience: an overview of experience components that co-create value with the customer. European Management Journal, 25(5), 395-410. https://doi.org/10.1016/j.emj.2007.08.005 Ghosh, P., Tripathi, V., & Kumar, A. (2010). Customer expectations of store attributes: A study of organized retail outlets in India. Journal of Retail & Leisure Property, 9(1), 75-87. Giddens. (2002). Customer loyalty: Menumbuhkan dan mempertahankan kesetiaan pelanggan. Jakarta: Erlangga. Hartman, K. B., & Spiro, R. L. (2005). Recapturing store image in customer-based store equity: a construct conceptualization. Journal of Business Research, 58(8), 1112-1120. https://doi.org/10.1016/j.jbusres.2004.01.008 Jackson, C. (2006). Driving brand loyalty on the web. DMI Review, 17(1), 62-67. https://doi.org/10.1111/j.1948-7169.2006.tb00031.x Khan, I., Hollebeek, L. D., Fatma, M., Islam, J. U., & Arkonsuo, L. R. (2020). Customer experience and commitment in retailing: Does customer age matter? Journal of Retailing and Consumer Services, 57. https://doi.org/10.1016/j.jretconser.2020.102219 Lemon, K. N., & Verhoef, P. V. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509%2Fjm.15.0420 Lindquist, J. D. (1974). Meaning of image. Journal of Retailing, 50(4), 29-38. Mohd-Ramly, S., & Omar, N. A. (2017). Exploring the influence of store attributes on customer experience and customer engagement. International Journal of Retail & Distribution Management, 45(11), 1138–1158. https://doi.org/10.1108/IJRDM-04-2016-0049. Jain, R., Aagja, J., & Bagdare, S. (2017). Customer experience–a review and research agenda. Journal of Service Theory and Practice, 27(3), 642–662. https://doi.org/10.1108/JSTP-03-2015-0064. Nikhashemi, S. R., Tarofder, A. K., Gaur, S. S., & Haque, A. (2016). The Effect of customers’ perceived value of retail store on relationship between store attribute and customer brand loyalty: Some insights from Malaysia. Procedia Economics and Finance, 37, 432–438. https://doi.org/10.1016/S2212-5671(16)30148-4 Machtiger, Kate. (2020). What will the retail experience of the future look like?. Harvard Business Review. Retrieved from https://hbr.org/2020/06/what-will-the-retail-experience-of-the-future-look-like Shaw, C., & Ivens, J. (2007). Building great customer experience. New York: Palgrave, Macmillan The Jakarta Post. (2020). Indonesia's e-commerce sales to surpass India's. Retrieved from https://www.thejakartapost.com/news/2020/09/08/indonesias-e-commerce-sales-to-surpass-indias.html Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeven, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41. https://doi.org/10.1016/j.jretai.2008.11.001. Wang, C. H., & Ha, S. (2011). Store attributes influencing relationship marketing: A study of department stores. Journal of Fashion Marketing and Management: An International Journal, 15(3), 326–344. doi:10.1108/13612021111151923 Williams, L., Buoye, A., Keiningham, T. L., Aksoy, L. (2020). The practitioners’ path to customer loyalty: Memorable experiences or frictionless experiences? Journal of Retailing Consumer Service, 57. https://doi.org/10.1016/j.jretconser.2020.102215
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Anggara, Ahmad Khabib Dwi, and Ririn Tri Ratnasari. "Pengaruh Store Attribute terhadap Customer Experience dan Brand Loyalty." Jurnal Ekonomi Syariah Teori dan Terapan 9, no. 3 (May 31, 2022): 379–87. http://dx.doi.org/10.20473/vol9iss20223pp379-387.
Full textAbstract:
ABSTRAK Industri fashion muslim di Indonesia saat ini sedang mengalami transformasi besar yang didorong oleh beberapa tren. Seiring dengan adanya transformasi teknologi saat ini, media sosial sebagai tempat berekspresi diri mendorong munculnya fast fashion yang mengacu pada praktik industri di mana pelaku industri fashion menawarkan berbagai macam produk baru dengan konsep pergantian mode yang cepat dan paling disukai pasar. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh store attribute terhadap customer experience, dan brand loyalty pada toko Hijup. Pengumpulan data dilakukan dengan kuesioner yang melibatkan 150 responden yang pernah mengunjungi dan berbelanja di toko Hijup dalam 12 bulan terakhir. Metode Path Analysis dilakukan untuk mengetahui bagaimana store attributes mempengaruhi customer experience dan brand loyalty dalam industri ritel fashion. Hasil penelitian menunjukkan bahwa store attribute memiliki pengaruh positif signifikan terhadap customer experience di dalam toko Hijup. Kemudian, ditemukan juga pengaruh positif signifikan antara customer experience terhadap brand loyalty. Adanya penelitian ini diharapkan dapat membantu toko Hijup sebagai pelaku retail khususnya di industri fashion muslim untuk meningkatkan store attribute mereka sehingga para peretail dapat menciptakan loyalitas bagi konsumen mereka. Kata kunci: Store Attribute, Customer Experience, Brand Loyalty, Toko Hijup. ABSTRACT The Muslim fashion industry in Indonesia is currently undergoing a major transformation shared by several trends. Along with the current technological transformation, social media as a place for self-expression encourages the emergence of fast fashion which refers to industrial practices where fashion industry players offer a variety of new products with the concept of rapid change and are most favored by the market. This study aims to determine how the influence of store attributes on customer experience, and brand loyalty at Hijup stores. Data were collected using questionnaires involving 150 respondents who had visited and purchased at Hijup stores in the last 12 months. The path Analysis method was conducted to find out how store attributes affect customer experience and brand loyalty in the fashion retail industry. The results showed that store attributes had a significant positive effect on customer experience in Hijup stores. Then, it was also found that there was a significant positive effect between customer experience on brand loyalty. This research is expected to help Hijup stores as retail players, especially in the Muslim fashion industry to increase their store attributes so that retailers can create loyalty for their consumers. Keywords: Store Attribute, Customer Experience, Brand Loyalty, Hijup Store. DAFTAR PUSTAKA Bıçakcıoğlu, N., Ilayda, İ., & Bayraktaroğlu, G. (2016). Antecedents and outcomes of brand love: the mediating role of brand loyalty. Journal of Marketing Communications, 24(8), 1–15. https://doi.org/10.1080/13527266.2016.1244108 Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in Human Behavior, 61, 103–113. https://doi.org/10.1016/j.chb.2016.03.014 BRP & Windstream E. (2018). Retail’s digital crossroads: The race to meet shopper expectations. Retrieved from https://www.windstreamenterprise.com/wp-content/uploads/2018/07/windstream-retail-pov.pdf Choi, T. (2013). Fast fashion systems: Theories and applications. Florida USA: CRC Press. Finn, A. (2004). A reassessment of the dimensionality of retail performance: a multivariate generalizability theory perspective. Journal of Retailing and Consumer Services, 11(4), 235-245. http://dx.doi.org/10.1016/S0969-6989(03)00050-X Gentile, C., Spiller, N., & Noci, G. (2007). How to sustain the customer experience: an overview of experience components that co-create value with the customer. European Management Journal, 25(5), 395-410. https://doi.org/10.1016/j.emj.2007.08.005 Ghosh, P., Tripathi, V., & Kumar, A. (2010). Customer expectations of store attributes: A study of organized retail outlets in India. Journal of Retail & Leisure Property, 9(1), 75-87. Giddens. (2002). Customer loyalty: Menumbuhkan dan mempertahankan kesetiaan pelanggan. Jakarta: Erlangga. Hartman, K. B., & Spiro, R. L. (2005). Recapturing store image in customer-based store equity: a construct conceptualization. Journal of Business Research, 58(8), 1112-1120. https://doi.org/10.1016/j.jbusres.2004.01.008 Jackson, C. (2006). Driving brand loyalty on the web. DMI Review, 17(1), 62-67. https://doi.org/10.1111/j.1948-7169.2006.tb00031.x Khan, I., Hollebeek, L. D., Fatma, M., Islam, J. U., & Arkonsuo, L. R. (2020). Customer experience and commitment in retailing: Does customer age matter? Journal of Retailing and Consumer Services, 57. https://doi.org/10.1016/j.jretconser.2020.102219 Lemon, K. N., & Verhoef, P. V. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509%2Fjm.15.0420 Lindquist, J. D. (1974). Meaning of image. Journal of Retailing, 50(4), 29-38. Mohd-Ramly, S., & Omar, N. A. (2017). Exploring the influence of store attributes on customer experience and customer engagement. International Journal of Retail & Distribution Management, 45(11), 1138–1158. https://doi.org/10.1108/IJRDM-04-2016-0049. Jain, R., Aagja, J., & Bagdare, S. (2017). Customer experience–a review and research agenda. Journal of Service Theory and Practice, 27(3), 642–662. https://doi.org/10.1108/JSTP-03-2015-0064. Nikhashemi, S. R., Tarofder, A. K., Gaur, S. S., & Haque, A. (2016). The Effect of customers’ perceived value of retail store on relationship between store attribute and customer brand loyalty: Some insights from Malaysia. Procedia Economics and Finance, 37, 432–438. https://doi.org/10.1016/S2212-5671(16)30148-4 Machtiger, Kate. (2020). What will the retail experience of the future look like?. Harvard Business Review. Retrieved from https://hbr.org/2020/06/what-will-the-retail-experience-of-the-future-look-like Shaw, C., & Ivens, J. (2007). Building great customer experience. New York: Palgrave, Macmillan The Jakarta Post. (2020). Indonesia's e-commerce sales to surpass India's. Retrieved from https://www.thejakartapost.com/news/2020/09/08/indonesias-e-commerce-sales-to-surpass-indias.html Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeven, A., Tsiros, M., & Schlesinger, L. A. (2009). Customer experience creation: Determinants, dynamics and management strategies. Journal of Retailing, 85(1), 31–41. https://doi.org/10.1016/j.jretai.2008.11.001. Wang, C. H., & Ha, S. (2011). Store attributes influencing relationship marketing: A study of department stores. Journal of Fashion Marketing and Management: An International Journal, 15(3), 326–344. doi:10.1108/13612021111151923 Williams, L., Buoye, A., Keiningham, T. L., Aksoy, L. (2020). The practitioners’ path to customer loyalty: Memorable experiences or frictionless experiences? Journal of Retailing Consumer Service, 57. https://doi.org/10.1016/j.jretconser.2020.102215
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Guan, Congying, Shengfeng Qin, Wessie Ling, and Guofu Ding. "Apparel recommendation system evolution: an empirical review." International Journal of Clothing Science and Technology 28, no. 6 (November 7, 2016): 854–79. http://dx.doi.org/10.1108/ijcst-09-2015-0100.
Full textAbstract:
Purpose With the developments of e-commerce markets, novel recommendation technologies are becoming an essential part of many online retailers’ economic models to help drive online sales. Initially, the purpose of this paper is to undertake an investigation of apparel recommendations in the commercial market in order to verify the research value and significance. Then, this paper reviews apparel recommendation techniques and systems through academic research, aiming to acquaint apparel recommendation context, summarize the pros and cons of various research methods, identify research gaps and eventually propose new research solutions to benefit apparel retailing market. Design/methodology/approach This study utilizes empirical research drawing on 130 academic publications indexed from online databases. The authors introduce a three-layer descriptor for searching articles, and analyse retrieval results via distribution graphics of years, publications and keywords. Findings This study classified high-tech integrated apparel systems into 3D CAD systems, personalised design systems and recommendation systems. The authors’ research interest is focussed on recommendation system. Four types of models were found, namely clothes searching/retrieval, wardrobe recommendation, fashion coordination and intelligent recommendation systems. The forth type, smart systems, has raised more awareness in apparel research as it is equipped with advanced functions and application scenarios to satisfy customers. Despite various computational algorithms tested in system modelling, existing research is lacking in terms of apparel and users profiles research. Thus, from the review, the authors have identified and proposed a more complete set of key features for describing both apparel and users profiles in a recommendation system. Originality/value Based on previous studies, this is the first review paper on this topic in this subject field. The summarised work and the proposed new research will inspire future researchers with various knowledge backgrounds, especially, from a design perspective.
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Bagwari, Ashish, Anugar Sinha, N. K. Singh, Namit Garg, and Jyotshana Kanti. "CBIR-DSS: Business Decision Oriented Content-Based Recommendation Model for E-Commerce." Information 13, no. 10 (October 5, 2022): 479. http://dx.doi.org/10.3390/info13100479.
Full textAbstract:
Business-based decision support systems have been proposed for a few decades in the e-commerce and textile industries. However, these Decision Support Systems (DSS) have not been so productive in terms of business decision delivery. In our proposed model, we introduce a content-based image retrieval model based on a DSS and recommendations system for the textile industry, either offline or online. We used the Fashion MNIST dataset developed by Zalando to train our deep learning model. Our proposed hybrid model can demonstrate how a DSS can be integrated with a system that can separate customers based on their personal characteristics in order to tailor recommendations of products using behavioral analytics, which is trained based on MBTI personality data and Deap EEG data containing numerous pre-trained EEG brain waves. With this hybrid, a DSS can also show product usage analytics. Our proposed model has achieved the maximum accuracy compared to other proposed state-of-the-art models due to its qualitative analysis. In the first section of our analysis, we used a deep learning algorithm to train our CBIR model based on different classifiers such as VGG-net, Inception-Net, and U-net which have achieved an accuracy of 98.2% with a 2% of minimized error rate. The result was validated using different performance metrics such as F-score, F-weight, Precision, and Recall. The second part of our model has been tested on different machine learning algorithms with an accuracy rate of 89.9%. Thus, the entire model has been trained, validated, and tested separately to gain maximum efficiency. Our proposal for a DSS system, which integrates several subsystems with distinct functional sets and several model subsystems, is what makes this study special. Customer preference is one of the major problems facing merchants in the textile industry. Additionally, it can be extremely difficult for retailers to predict customer interests and preferences to create products that fulfill those needs. The three innovations presented in this work are a conceptual model for personality characterization, utilizing an amalgamation of an ECG classification model, a suggestion for a textile image retrieval model using Denoising Auto-Encoder, and a language model based on the MBTI for customer rating. Additionally, we have proposed a section showing how blockchain integration in data pre-processing can enhance its security and AI-based software quality assurance in a multi-model system
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Lim, Yun Fong, Song Jiu, and Marcus Ang. "Integrating Anticipative Replenishment Allocation with Reactive Fulfillment for Online Retailing Using Robust Optimization." Manufacturing & Service Operations Management, October 9, 2020. http://dx.doi.org/10.1287/msom.2020.0926.
Full textAbstract:
Problem definition: In each period of a planning horizon, an online retailer decides how much to replenish each product and how to allocate its inventory to fulfillment centers (FCs) before demand is known. After the demand in the period is realized, the retailer decides on which FCs to fulfill it. It is crucial to optimize the replenishment, allocation, and fulfillment decisions jointly such that the expected total operating cost is minimized. The problem is challenging because the replenishment allocation is done in an anticipative manner under a push strategy, but the fulfillment is executed in a reactive way under a pull strategy. We propose a multiperiod stochastic optimization model to delicately integrate the anticipative replenishment allocation decisions with the reactive fulfillment decisions such that they are determined seamlessly as the demands are realized over time. Academic/practical relevance: The aggressive expansion in e-commerce sales significantly escalates online retailers’ operating costs. Our methodology helps boost their competency in this cutthroat industry. Methodology: We develop a two-phase approach based on robust optimization to solve the problem. The first phase decides whether the products should be replenished in each period (binary decisions). We fix these binary decisions in the second phase, in which we determine the replenishment, allocation, and fulfillment quantities. Results: Numerical experiments suggest that our approach outperforms existing methods from the literature in solution quality and computational time and performs within 7% of a benchmark with perfect information. A study using real data from a major fashion online retailer in Asia suggests that the two-phase approach can potentially reduce the retailer’s cumulative cost significantly. Managerial implications: By decoupling the binary decisions from the continuous decisions, our methodology can solve large problem instances (up to 1,200 products). The integration, robustness, and adaptability of the decisions under our approach create significant value.