Статті в журналах з теми "APPAREL E-RETAILING"

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.

Many apparel retailing brands use e-service marketing tools such as a chatbot (a system that is available 24 hours a day, 7 days a week) to increase their competitive advantage in today’s world of digitalization. During the COVID-19 pandemic, chatbots gained more power to serve as a communication tool that provides information and maintains customer experience. Therefore, this study is conducted to investigate the influence of chatbot e-service agents’ marketing efforts (involving interaction, entertainment, trendiness, and problem-solving) on Thai customers’ perceived communication credibility and satisfaction in apparel retailing, as research in this area is limited. In order to test the hypotheses, the paper employed structural equation modeling using Amos. In addition, an online survey of 400 Thai consumers who had previously used chatbots in the apparel retailing industry was conducted. The results showed that chatbot e-service marketing efforts, including interaction, trendiness, and problem-solving, affected customer satisfaction without entertainment elements. Beyond this, a chatbot, viewing interaction and entertainment, was found to have an insignificant effect on communication credibility. Thus, the coefficient value proved that information regarding communication credibility is more dominant in customer satisfaction. Therefore, the chatbot e-service marketing effort is essential in motivating communication credibility in customer satisfaction. These findings delivered managerial implications for understanding consumers in the field of digitalization.

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.

The Original Article was published on 08 July 2022In the section '1.3. Hypotheses' in this article, in H1a-H4b, the last word has been changed (the words "satisfaction" and "credibility" have changed places). The sentences now read: 'H1a: Chatbot e-services can provide positive interactions that evoke customer satisfaction. H1b: Chatbot e-services can provide positive interactions that evoke communication credibility. H2a: Chatbot e-services can provide positive entertainment that evokes customer satisfaction. H2b: Chatbot e-services can provide positive entertainment that evokes communication credibilityH3a: Chatbot e-services can provide positive trendiness that evokes customer satisfaction. H3b: Chatbot e-services can provide positive trendiness that evokes communication credibility. H4a: Chatbot e-services can provide positive problem-solving that evokes customer satisfaction. H4b: Chatbot e-services can provide positive problem-solving that evokes communication credibility.'

India is set for high growth in consumer expenditure. With India's large ‘young’ population and high domestic consumption, the macro trends for the sector look favorable. Within retail, the emerging sectors would be food and grocery, apparel, electronics, e-commerce, fashion and lifestyle. Incorporation of technology in the organized retail segment has been something to reckon with in the past few years. Use of computers for merchandise planning and management, control of inventory costs and supplies and replenishment of goods done electronically, internal store billing, etc. has changed the face of product retailing

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.

PurposeThe purpose of this paper is to bridge together seemingly disparate yet interconnected paradigmatic antecedents of e-tailing and servicescape, i.e., product assortment, order fulfillment, shopping assistance and its consequences for shopping efficiency.Design/methodology/approachThe proposed conceptual model is well grounded in the extensive literature from e-tailing as well as retailing domain and to assess the plausibility of the model. Total 246 female online apparel shoppers were surveyed from an Indian university and the data were analyzed using structural equation modeling through SmartPLS.FindingsThe outcomes of the study indicate that the e-customer may derive a substantial share of shopping assistance and service interface through product assortment offered by e-tailing sites. Customer-perceived performance of this e-shopping process – a crucial element of e-tail servicescape – directly affects the shopping assistance, along with order fulfillment capability of retail scope.Research limitations/implicationsThe study used a sample of graduate students at a north-west university in India, which limits the generalizability of the research to other consumer groups. The paper links a significant body of literature within a conceptually developed framework and identifies key research areas in the e-tailing realm.Practical implicationsBy better understanding the role of product assortment as a value-added feature in online value co-creation process, the e-tail managers can leverage the proposed integrated capability to improve e-tailing performance and customer outcomes in the form of business.Social implicationsWith rapid advancements in internet-led communication, we are witnessing the dawn of a new era of e-tail innovations around us which is expected to change the way people experience shopping.Originality/valueThis research is an attempt to enrich the level of understanding about online shopping environment in light of relationships among virtual and physical facets of e-tail, i.e., product assortment, order fulfillment, shopping assistance and shopping efficiency. The authors investigate customer-perceived product assortment performance in e-tailing and its significances on shopping outcomes.

We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and test our thesis using data from a digital-first men’s apparel retailer and a pioneer of the so-called zero inventory store (ZIS) format—a small-footprint, experience-centric retail location that carries no inventory for immediate fulfillment, but fulfils orders via e-commerce. Using a risk-set matching approach, we calibrate our estimates on customers who are “treated,” that is, have a ZIS experience, and matched with identical customers who shop online only. We find that after the ZIS experience, customers spend more, shop at a higher velocity, and are less likely to return items. The positive impact on returns is doubly virtuous as it is more pronounced for more tactile, higher-priced items, thus mitigating a key pain point of online retail. Furthermore, the ZIS shopping experience aids product discovery and brand attachment, causing sales to become more diffuse over a larger number of categories. Finally, we demonstrate that our results are robust to self-selection and potentially confounding effects of unobservable factors on the matched pairs of customers. Implications for retailing practice, including for legacy, offline-first retailers, are discussed. This paper was accepted by Victor Martínez-de-Albéniz, operations management.

ABSTRAK Penelitian ini bertujuan untuk mengetahui adanya pengaruh value for money perception dan emotional brand attachment terhadap niat membeli kosmetik halal khususnya produk Innisfree. Selain itu, untuk meningkatkan literasi tentang value for money perception dan emotional brand attachment terhadap buying intention. Pendekatan kuantitatif digunakan dalam metodologi penelitian ini dengan Path Analysis sebagai teknik analisis data. Pengumpulan data dengan menyebarkan kuesioner skala Likert berskala lima secara online. Responden dalam penelitian ini adalah 100 mahasiswi diberbagai universitas di Surabaya yang belum pernah menggunakan produk Innisfree. Hasil dari riset menunjukkan bahwa hubungan antar variabel value for money perception terhadap buying intention, value for money perception terhadap emotional brand attachment, dan emotional brand attachment terhadap buying intention ketiganya memiliki pengaruh secara signifikan positif. Kata Kunci: Value for Money Perception, Emotional Brand Attachment, Buying Intention, Kosmetik Halal. ABSTRACT This study aims to determine the effect of value for money perception and emotional brand attachment on the intention to buy halal cosmetics, especially Innisfree products. In addition, to increase literacy about value for money perception and emotional brand attachment to buying intention. A quantitative approach is used in this research methodology with Path Analysis as a data analysis technique. Collecting data by distributing a five-scale Likert scale questionnaire online. Respondents in this study were 100 female students in various universities in Surabaya who had never used Innisfree products. The results of the research show that the relationship between the variable value for money perception on buying intention, value for money perception on emotional brand attachment, and emotional brand attachment on buying intention, all three have a significant positive effect. 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PurposeAs satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from the internet. In this research, the authors followed two main objectives: (1) to identify factors influencing online satisfaction and (2) to determine the importance of the main determinants that explain online satisfaction in the retailing clothing sector.Design/methodology/approachThe research combines qualitative and quantitative research methods. The authors used the focus group technique and a survey based on a questionnaire. For the first exploratory phase of the research, we conducted four focus groups with 21 women, 18–39 years old, who have at least two years experiences as online buyers and who made at least two acquisitions for clothing products in the past six months, from the same website. The purpose of this qualitative method was to understand the young women's perception about online satisfaction and to collect items to be included in the questionnaire. For the second quantitative phase of this study, the sample consisted of 241 participants. To analyse the data, two different types of inferential analysis were used: factor analysis (for identifying the factors that compose online customer satisfaction) and analysis of regression (to determine the most important factors that determine and predict online buyers' satisfaction).FindingsThe main results indicate that the significant factors determining a satisfactory experience in an e-retailing market are: good deal (savings), product expectations, customer service and website reputation.Originality/valueThe study is more relevant in the current pandemic context, when the consumer’s behaviour has changed and online shopping has substantially increased. The research can be used by companies that sell clothing on the internet and are interested in increasing their financial results and also their customers' satisfaction.

PurposeThis study aims at examining the role of the e-store brand personality congruence/incongruence of a multichannel apparel retailer in the formation of consumers' perceived e-store brand fit and e-store patronage intention, based on the concept of image congruence.Design/methodology/approachAn online survey was conducted with a US national sample of 458 female consumers (20–50 years old) who had shopped for clothing online.FindingsResults revealed that e-store brand personality incongruence in three personality dimensions had a negative impact on consumers' e-store patronage intention directly as well as indirectly by reducing the consumers' global perception of the e-store brand fit. Further, the retailer's relevance to the consumer moderated the relationship between the perceived e-store brand fit and e-store patronage intention in that this relationship was significantly greater among consumers with a high (vs low) perceived self-relevance of the retail brand.Practical implicationsThe findings highlight the importance of symbolically integrated cross-channel brand management for multichannel apparel retailers by clearly identifying their brand personality and carefully crafting it into their e-store interface design and e-store visual merchandising to convey the brand personality.Originality/valueThis study expands the application of image congruence to the cross-channel image congruence phenomenon in multichannel retailing environments by examining the e-store brand image congruence employing both direct and indirect approaches.

Purpose The ease and convenience of online shopping are shifting the customers to e-tailers. This has prompted offline retailers to re-examine behavioural patterns along with a reconfiguration for a responsive retail model. The paper investigates the influence of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour. Design/methodology/approach Data were collected via a survey answered by 793 fashion customers from India, and for data analysis, partial least square structural equation modelling (PLS-SEM) was employed. Path analysis was used to determine the interrelationships amongst the constructs used in the study. Findings The standardized path coefficients depict competitive responsiveness as the highest contributor of retailers' responsiveness followed by service responsiveness, employee responsiveness and customer responsiveness. The findings suggest that customer satisfaction acts as the biggest contributor to referral behaviour followed by cross-buying behaviour and revisit intentions. Originality/value This study has made a substantial contribution to fashion apparel retailing. The findings revealed that responsive retailing influences the customers' post-purchase behaviour as they engage in more cross-buying, revisiting and referral behaviour. The retailers are encouraged to carefully monitor their preparedness to deliver a combination of sensory, emotional, cognitive and social experience to their customers.

AbstractThe fashion industry is a lucrative market that generates revenue in the trillions through the production and distribution of clothing, footwear, and various accessories. The apparel industry has experienced a remarkable expansion in the past few years, evidenced by a 100% increase in output between 2000 and 2023. The apparel industry makes a substantial contribution to the negative impacts of biodiversity loss and climate change. The fashion industry’s expansion and social and environmental sustainability concerns, catalyzed by digitalization, are propelling it toward a sustainable trajectory. The present review article centers on the primary issues faced by the fashion industry and the utilization of metaverse technologies to tackle sustainability challenges within this sector. The metaverse refers to the amalgamation of physical and digital space within a virtual world, commonly referred to as the meta-universe. The metaverse is a strategy that is anticipated to be employed in fashion e-commerce and retailing, aiming to facilitate consumer decision-making processes, ranging from user experience to customer experience. This approach is expected to confer considerable competitive benefits. This review paper aims to analyze the sustainable impact of the metaverse on the fashion industry and foster discourse among researchers and industry professionals.

PurposeThis study aims to determine the effects of e-service quality (e-SQ) in fashion e-storescapes (online retail store environments) on e-customer citizenship behaviour (e-CCB) and e-repurchase intention (e-RI), as well as to investigate whether e-CCB plays a mediating role in these relations.Design/methodology/approachIn line with the aim of this study, the relationships between the variables were examined by using the mediation effect analysis within the framework of a Stimulus-Organism-Response (S-O-R) model. An online survey was developed based on the scales with proven reliability and validity. The convenience sampling method on social media sites was used to collect data for analysis from 500 volunteer participants who had previously shopped online for fashion brands between 1st and 30th September 2020. The partial least squares (PLS) path analysis method was used to analyse the research model.FindingsThis study revealed that the dimensions of e-SQ, except e-efficiency and e-privacy, have positive effects on all dimensions of e-CCB. Concurrently, this study identified that the dimensions of e-CCB have positive effects on e-RI. Subsequently, the study determined that the dimensions of e-CCB played a full mediator role between the dimensions of e-SQ and e-RI.Research limitations/implicationsThe primary limitation of this study is that the study is based on the perceptions of fashion e-customers about the customers' e-tailing (online retailing) experiences, which is only reached via the convenience sampling method.Practical implicationsIn this study, the positive relationships between e-CCB and e-RI were accepted as the acquirements of e-SQ in fashion e-storescapes. In this context, the reasons for fashion customers to repurchase from an e-storescape are not only low prices and product variety, but also the exhibition of extra-role behaviours in the form of e-SQ acquirements. These implications, which will attract the attention of fashion e-tailers, may enable the e-tailers to modify the e-SQ of e-tailers' e-storescapes based on customer feedback.Originality/valueThis study is unique as the study draws on the S-O-R theory to provide insight into the stimulus effect of e-storescape e-SQ on the mediating role of e-CCB. The current study is expected to contribute to the literature by highlighting the reasons for changes in consumption attitudes, intentions and behaviours amongst customers that prefer e-tailing for fashion apparel shopping.

Indian retail industry has emerged as one of the most dynamic and fast-paced industries due to the entry of several new players. It accounts for over 10% of the country’s gross domestic product (GDP) and around 8% of the employment. India is the world’s fifth-largest global destination in the retail space. India ranked 73rd in the United Nations Conference on Trade and Development's Business-to-Consumer (B2C) E-commerce Index 2019. The sizeable middle class and nearly unexplored retail market in India are the main enticing factors for international retail behemoths seeking to move into newer markets, which will help the Indian retail business grow more quickly. The urban Indian consumer's purchasing power is increasing, and branded goods in categories like apparel, cosmetics, footwear, watches, beverages, food, and even jewellery are gradually evolving into business and leisure that are well-liked by the urban Indian consumer. The retail sector in India is expected to reach a whopping US$ 2 trillion in value by 2032, according to a recent analysis by the Boston Consulting Group (BCG). Increasing purchasing power of consumers has led to growing demand in Indian retail sector. According to the Retailers Association of India (RAI), the retail industry achieved 96% of pre-COVID-19 sales in September 2021, driven by the rising demand from consumers in Indian retail space. And due to that India’s retail trading sector attracted US$ 4.11 billion FDIs between April 2000-June 2022. Online retail market in India is projected to reach US$ 350 billion by 2030 from an estimated US$ 55 billion in 2021, due to rising online shoppers in the country. Online penetration of retail is expected to reach 10.7% by 2024 versus 4.7% in 2019. The present study tries to study Awareness, Agreement, Satisfaction and future Expectations about adoption of Technologies in the selected Retail Stores from the viewpoint of Customer’s residing in Gujarat State. After research on Customers’, the study identified that Customers were least aware about Vending machine. Customers mainly preferred technology implementation because it “saves the time” & provides them “better customer service at an affordable price”. Customers were satisfied about various retailing technologies but they were still not satisfied by Credit Card security as it creates privacy issues in the mind of them.