Academic literature on the topic 'ONLINE SHOPPING SCENARIO'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'ONLINE SHOPPING SCENARIO.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "ONLINE SHOPPING SCENARIO"
1
Kuthe, Annaji, and Ritik Khode. "Online Grains Shopping Store." International Journal of Computer Science and Mobile Computing 11, no. 3 (March 30, 2022): 78–82. http://dx.doi.org/10.47760/ijcsmc.2022.v11i03.009.
Full textAbstract:
In the present scenario peoples like to shop online. For the better and easy shopping, website is created for Online Grain shopping store. Through this website peoples were able to select shop online grains. This website aims to buy and sell products online and can be accessible from anywhere to the globe.
2
Abbagani, Vishnu. "Explore the Factors Contributing to Online Versus Store Shopping in Transportation Perspective: Evidence from India." European Transport/Trasporti Europei, no. 89 (December 2022): 1–15. http://dx.doi.org/10.48295/et.2022.89.2.
Full textAbstract:
In recent times, there has been a growing demand for e-shopping as compared to in-store shopping due to rapid changes in technology as well as extensive usage of the internet. E-shopping has changed people's shopping and travel behaviour. Due to the increase in internet usage, there is a tremendous change in people's shopping choices and it further impacts the travel patterns in urban communities. In this context, the proposed study evaluates people’s shopping choice behaviour in an urban scenario. To fulfil the proposed objective, a questionnaire survey has been conducted in order to understand consumer behaviour about their shopping choices as well as the number of online orders that have been made by the user during the specified duration of time (viz., during the last one month). To analyse the collected data, a principal component based logistic regression analysis has been adopted to estimate the significant contributing factors affecting consumer shopping choices. The results show that motivational factors (viz., saving in travel time and better prices) have a significant positive impact on online shopping; however, there are concerns such as delivery time as well as care required during online payment. The frequency of using online shopping mode and recently made purchases has had a significant positive impact on online shopping. Further, it has been concluded that higher income levels and higher occupation levels negatively impact e-shopping choice. The results are useful for transport planners to predict the transformation in people's travel behaviour with respect to shopping trips in present and future scenarios.
3
Sun, Yu, Feng Lian, and Zhongzhen Yang. "The Impact of E-Commerce and Ride Hailing on Emissions from Shopping-Related Transport: A Case Study of the Shopping Habits of University Students from Ningbo University." Journal of Advanced Transportation 2022 (October 25, 2022): 1–20. http://dx.doi.org/10.1155/2022/4066520.
Full textAbstract:
To clarify the impact of new transport services on consumers’ shopping behaviors and shopping-related transport emissions, a back-propagation neural network shopping channel choice model is established to estimate the number of times that consumers engage in online and offline shopping. A brick-and-mortar store choice model and travel mode choice model are developed, and a method to measure the quality of life of consumers is established to evaluate the impact of new transport services on shopping behaviors and the corresponding shopping transport emissions. The findings reveal that a new passenger transport service increases the number of times that consumers shop in brick-and-mortar stores and correspondingly shopping transport emissions; a new commodity transport service reduces the number of times that consumers shop in brick-and-mortar stores and in turn shopping transport emissions. In a scenario with both new commodity services and new passenger transport services, although online shopping is convenient, consumers are still willing to pay travel expenses for offline shopping; in a scenario with the new commodity transport service but without the new passenger transport service, the emissions from shopping-related transport are the lowest.
4
Sharma, Gunjan, Naval Bajpai, Kushagra Kulshreshtha, Vikas Tripathi, and Prince Dubey. "Foresight for online shopping behavior: a study of attribution for “what next syndrome”." foresight 21, no. 2 (April 8, 2019): 285–317. http://dx.doi.org/10.1108/fs-11-2017-0069.
Full textAbstract:
PurposeThe online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.Design/methodology/approachThe exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.FindingsIn the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”Research limitations/implicationsThe current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.Originality/valueThe research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.
5
Espinoza, Miguel Córdova, Varsha Ganatra, Kiran Prasanth, Rupesh Sinha, Corina Elena Ochoa Montañez, Kolhe Mayur Sunil, and Rishikaysh Kaakandikar. "Consumer Behavior Analysis on Online and Offline Shopping During Pandemic Situation." International Journal of Accounting & Finance in Asia Pasific 4, no. 3 (October 20, 2021): 75–87. http://dx.doi.org/10.32535/ijafap.v4i3.1208.
Full textAbstract:
Shopping has undergone a paradigm shift as a result of technological influence, with most consumers preferring online purchasing to traditional physical store shopping. The current pandemic scenario has resulted in a shift in customer spending patterns both online and offline. This paper identifies and analyses customers’ behavior towards online and retail shopping based on various factors affecting their behavior on which mode of shopping most they prefer during the pandemic situation. Primary data was used and a structured questionnaire was utilized to obtain the data. An online survey was conducted to collect from 200 heterogeneous kinds of people. The data collected were subjected to frequency analysis, Chi-square test, and Cronbach’s Alpha Test. IBM Statistical Package for Social Sciences (SPSS v23) was used for analyzing the data. The results revealed that among the various technological factors the proficiency rate of respondents utilizing, the internet has shown a significant impact on the consumers’ preference towards the mode of shopping. Factors like quick product information, a wider choice of products, better prices and discounts highly influence the consumers to opt for online shopping, whereas faster delivery time and product quality reliability and accuracy influence the consumers to choose offline shopping.
6
Patro, Chandra Sekhar. "Attitudes of E-Shoppers and Non E-Shoppers towards E-Shopping." International Journal of Cyber Behavior, Psychology and Learning 6, no. 2 (April 2016): 96–108. http://dx.doi.org/10.4018/ijcbpl.2016040106.
Full textAbstract:
Today, the emergence and rapid growth of E-commerce has triggered off many changes in daily life. This new phenomenon has promised change, challenges and even bright future, not only to consumers but also to the e-tailing companies, suppliers and middlemen. E-shopping plays a major role in the Indian economy and is expected to change the current scenario of shopping from physical stores to e-stores. This study aims to examine the buyers' attitude towards e-shopping and also to find the critical reasons for not shopping through online. The results reveal that buyers are still hesitating to shop online. The most important reasons for buyers in both cities not to shop online are online security, prefer to buy by touching and feeling, and customer service. The factors influencing to buy online are being able to get detailed product information, product delivery, convenience, product quality and competitive prices. These results also have some practical implications for managers and strategists of e-stores.
7
Rao, Fujie. "Resilient Forms of Shopping Centers Amid the Rise of Online Retailing: Towards the Urban Experience." Sustainability 11, no. 15 (July 24, 2019): 3999. http://dx.doi.org/10.3390/su11153999.
Full textAbstract:
The rapid expansion of online retailing has long raised the concern that shops and shopping centers (evolved or planned agglomerations of shops) may be abandoned and thus lead to a depletion of urbanity. Contesting this scenario, I employ the concept of ‘retail resilience’ to explore the ways in which different material forms of shopping may persist as online retailing proliferates. Through interviews with planning and development professionals in Edmonton (Canada), Melbourne (Australia), Portland (Oregon), and Wuhan (China); field/virtual observations in a wider range of cities; and a morphological analysis of key shopping centers, I find that brick-and-mortar retail space is not going away; rather, it is being increasingly developed into various shopping spaces geared toward the urban experience (a combination of density, mixed uses, and walkability) and may thus be adapted to online retailing. While not all emerging forms of shopping may persist, these diverse changes, experiments, and adaptations of shops and shopping centers can be considered a form of resilience. However, many emerging shopping centers pose a threat to urban public life.
8
Gao, Xiao Hui, and Lifeng Wu. "Using fractional order weakening buffer operator to forecast the main indices of online shopping in China." Grey Systems: Theory and Application 9, no. 1 (February 4, 2019): 128–40. http://dx.doi.org/10.1108/gs-08-2018-0036.
Full textAbstract:
Purpose The purpose of this paper is to predict the main economic indices of online shopping in China. Design/methodology/approach A fractional order weakening buffer operator (WBO) for the GM(1,1) model is put forward in order to solve the problem of limited nonlinear data. The order number of WBO can adjust in line with the scenario. Findings The experimental results indicate that the proposed method can consider the scenario and obtain more accurate forecasting results. Originality/value This study found that the slowdown of growth trend after the previous high speed expansion period will continue, and the online shopping sellers should make more efforts to develop potential consumers to increase its turnover.
9
Ismail, Khairull Anuar, and Nabsiah Abdul Wahid. "THE DRIVERS AND BARRIERS OF ONLINE SHOPPING BEHAVIOURS FOR OLDER ADULTS: A REVIEW." International Journal of Education, Psychology and Counseling 7, no. 47 (September 1, 2022): 90–103. http://dx.doi.org/10.35631/ijepc.747009.
Full textAbstract:
To date, digitalization is a necessity for all consumers regardless of the age groups to adapt to the online world. However, not all consumers have benefitted from the advantages of online shopping despite its increases importance over the years. One neglected group is the older adults; who is often overlooked by the online shopping industry due to preferences and focus on the youth market. There are also limited studies found in the literature on the topic of older adults’ behaviour as online shoppers. A gap in the literature is in lack of understanding on the role played by technology-enabled platforms on aging societies; this raises the needs for researchers and practitioners alike to study the challenges and concerns related to meeting older adults’ needs on technology as the group increases in numbers worldwide. In Malaysia, older adults are not active and engaged consumers in online shopping despite the group’s high market potential value. Taking note of the online shopping scenario in Malaysia as well as the gap identified in the literature, this study reviews the literature (secondary data) to identify the drivers and barriers of online shopping behaviours among older adults. It is expected that apart from enriching existing literature related to online shopping behaviour for older adults, this review would also benefit future scholars when deciding on possible drivers and/or barriers’ selection in the investigation of older adults’ online shopping behaviour. As for marketers, the identification of drivers and/or barriers would be useful to consider in planning for their future marketing strategies.
10
Ford, Weixing, Haipeng Han, and Jie Zheng. "Online-Offline Competition with Heterogeneous Consumers: An Example for No Existence of Pure Strategy Nash Equilibrium." Contributions to Game Theory and Management 15 (2022): 41–50. http://dx.doi.org/10.21638/11701/spbu31.2022.04.
Full textAbstract:
Existing literature on competition between online and offline firms has focused on market conditions that guarantee the existence of a pure strategy Nash equilibrium. In this note, by constructing a concrete example, we provide a first attempt to show that the equilibrium existence result does not necessarily hold when consumers’ preferences are heterogeneous. Specifically, we consider the competition between one online firm and several offline firms in a market organized as a Salop model, where consumers’ preferences have a binary distribution. We identify a boundary scenario where the type distribution is binary with one type of consumer loyal to online shopping and the other type loyal to offline shopping. We show that there is no pure strategy Nash equilibrium for this boundary scenario, which indicates that the market may not be stable under such conditions. Our study contributes to a better understanding of the equilibrium existence conditions for the online versus offline retail competition.
Dissertations / Theses on the topic "ONLINE SHOPPING SCENARIO"
1
WAHI, NEHA. "SUSTAINABILITY STUDY OF PRICING & PROMOTION STRATEGIES FOR E-RETAIL IN INDIA." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/17457.
Full textAbstract:
As of 31st December 2013, India had an internet user base of about 238 million. The penetration of e-commerce is growing at a very fast pace with a large number of new entrants. India is staring at a new paradigm of digital consumerism. As the clocks ticks, the people of India are enthused and excited to get on to this digital bandwagon. They are connected, they are informed and they can’t get enough of it. The e-Commerce industry is offering them their chance. However, the industry needs the required support from all stakeholders in its ecosystem to surmount the challenges and to embark on profitable growth.
Hence, it becomes inevitable to understand what drives the online shopping business. In the report we shall try to answer the following questions, some in brief and some in great detail
Key Objectives-
To understand the current online shopping scenario in India.
To understand the retailer’s perspective about their primary goals: sales/revenue or profitability.
To understand the investment scenario in e-commerce space
To understand the retailers perspective future growth & profitability
Study the pricing strategies adopted by e-retailers to compete with offline stores
To study the sustainability of sales-oriented goals of e-retailers
To identify best practices and opportunities in e-Retail in India
Recommend possible solutions which leads growth of profitability in e-Retail; not just growing sales without profits
Understanding pros and cons of market consolidation
Understanding the future of online shopping for India 2020.
Book chapters on the topic "ONLINE SHOPPING SCENARIO"
1
Trapp, Markus, Sandra Luttermann, Daniel Rippel, Herbert Kotzab, and Michael Freitag. "Modeling Individualized Sustainable Last Mile Logistics." In Dynamics in Logistics, 277–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88662-2_13.
Full textAbstract:
AbstractThe online grocery trade has received an additional boost from the Covid pandemic. The delivery of such purchases places particular demands on last mile logistics since consumers demand more and more individualized delivery options, e.g., regarding the delivery arrival or the type of transport. At the same time, many consumers are becoming more environmentally conscious, so there is a need to examine further how this particular consumer behavior affects the sustainability of deliveries. This paper develops and presents a simulation model, which considers grocery delivery under different framework conditions. The examined scenarios show that a change in consumer behavior directly impacts last mile logistics systems, mainly by increasing the total number of orders and a slight reduction in emissions through improved vehicle utilization. Nevertheless, the results show that without sufficiently high utilization of delivery vehicles, shopping trips by private car may cause fewer emissions.
2
Rudra, Sohini, Sushanta Tripathy, and Deepak Singhal. "Consumer Sentiments About Online Shopping in the Indian Scenario During COVID-19." In Empirical Research for Futuristic E-Commerce Systems, 159–80. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4969-1.ch008.
Full textAbstract:
To abate the rapid spread of corona virus, most countries restricted social life. The primary purpose of this study is to look into the elements that influence online consumer sentiments regarding shopping during a pandemic. This research focuses on the study of different factors' significance and priority using strength, weakness, opportunity, threat (SWOT) analysis; interpretive structural modelling (ISM); and analytical hierarchy process (AHP) after extracting the different crucial factors using critical review of previous literature and expert opinions. The ISM methodology has helped to present a structural relationship among the key factors and helped to derive the short-term goals and long-term goals. Finally, the AHP model has ranked the existing three popular websites of India comparing their effectiveness using the factors such as product quality, customer satisfaction, low perceived risk, and social media. This chapter will be a strong vaccine for the Indian online shopping consumer sentiments during and post-pandemic scenario.
3
Patro, Chandra Sekhar. "Predicting Shoppers' Acceptance of E-Shopping on the Internet." In Analyzing Human Behavior in Cyberspace, 139–66. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7128-5.ch009.
Full textAbstract:
The emergence and rapid escalation of e-retailing has triggered many changes in daily life of the shoppers as well as the marketers. E-retailing is playing a major role in the Indian economy and is expected to change the current scenario of shopping from physical stores to e-stores. Similarly, changes in consumers' attitudes along with the availability of cheaper and reliable technology have led to a significant growth in online sales around the world. The chapter aims to examine the shoppers' attitudes towards e-shopping and also to find the critical reasons for not shopping through online. The results reveal that the shoppers are still hesitating to purchase online. The most important reasons for not shopping online are preferring to buy by touching and feeling, online security and privacy, and customer service quality. The factors influencing to buy online are being able to get detailed product information, product delivery, convenience, product quality, and competitive prices. These results also have some practical implications for managers and strategists of e-stores.
4
Thakur, Anusha. "Impact of Mood of the Millennial Customers on Purchase of Apparels Online." In Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business, 1509–29. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8957-1.ch077.
Full textAbstract:
In today's scenario, the millennials are keen towards the mobile technology wherein they expect to use the best of it in all aspects of their lives. Online channels help the millennials to enhance their shopping experiences by taking a glance at the reviews, ratings, value, and pricing of the products. This can be attributed to the streamlined services coupled with the free trials and delivery, and additional discounts offered by the apps. But, at the same time, how their mood affects their decision is still a question. For instance, if the consumers are in a good mood, they are likely to shop more. However, if they are in a low mood, they might not shop for anything. This study includes the mind and mood analysis of the young millennial consumers while shopping for apparels online. The study will involve in-depth interviews of 21 customers. The analysis will be done through the Leximancer tool. Additionally, this chapter would help the retailers understand the range of mood, which the customers display while purchasing apparels online and accordingly devise their strategies.
5
Thakur, Anusha. "Impact of Mood of the Millennial Customers on Purchase of Apparels Online." In Advances in Marketing, Customer Relationship Management, and E-Services, 240–66. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5690-9.ch011.
Full textAbstract:
In today's scenario, the millennials are keen towards the mobile technology wherein they expect to use the best of it in all aspects of their lives. Online channels help the millennials to enhance their shopping experiences by taking a glance at the reviews, ratings, value, and pricing of the products. This can be attributed to the streamlined services coupled with the free trials and delivery, and additional discounts offered by the apps. But, at the same time, how their mood affects their decision is still a question. For instance, if the consumers are in a good mood, they are likely to shop more. However, if they are in a low mood, they might not shop for anything. This study includes the mind and mood analysis of the young millennial consumers while shopping for apparels online. The study will involve in-depth interviews of 21 customers. The analysis will be done through the Leximancer tool. Additionally, this chapter would help the retailers understand the range of mood, which the customers display while purchasing apparels online and accordingly devise their strategies.
6
Shukla, Parag, and Parimal Vyas. "An Epigrammatic View of E-Retailing in India." In Advances in E-Business Research, 121–31. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9921-2.ch006.
Full textAbstract:
The Internet has changed the way many consumers shop, not just in the digital domain, but also in the physical world. E-tailing is a subset of e-commerce, which encapsulates all “commerce” conducted via the Internet. It refers to that part of e-commerce which entails the sale of product merchandise and does not include sale of services viz. Railway tickets, airlines tickets, job portals, etc. In 2012, the size of India's e-commerce market was USD 10 billion, while that of the e-tailing market was USD 0.6 billion. The current small size of e-tailing has led to it rarely being assessed on standalone basis. It is either clubbed with e-commerce or with brick & mortar retail, which, while not incorrect, does not allow for e-tailing's evaluation on its own merit. Consumer's perception regarding shopping has been changed with the introduction of internet media. Retail industry has witnessed major revolution in the changing technology oriented business scenario of the twenty-first century in India. Internet has shrunk the entire World. The rules of the game in retailing are fast changing with the introduction of Information Technology. The e-Retailing website is the front door of the online store that interacts between the e-retailer and consumers. The electronic retailing (e-Tailing, e-Retailing, internet retailing etc.) is the model of selling of retail goods using electronic media, in particular, the internet. In this research paper the authors propose to explore the factors contributing to the growth of e–Retailing in India and to investigate conceptually the issues and challenges involved in e- Retailing An attempt in this paper will also be made to study the present scenarios of e-tailing opportunities, its market, the viabilities and trends.
7
Gil, A. B., and F. J. Garcia. "Recommender Systems in E-Commerce." In Encyclopedia of Human Computer Interaction, 486–93. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-562-7.ch073.
Full textAbstract:
Electronic commerce (EC) is, at first sight, an electronic means to exchange large amounts of product information between users and sites. This information must be clearly written since any users who accesses the site must understand it. Given the large amounts of information available at the site, interaction with an e-market site becomes an effort. It is also time-consuming, and the user feels disoriented as products and clients are always on the increase. One solution to make online shopping easier is to endow the EC site with a recommender system. Recommender systems are implanted in EC sites to suggest services and provide consumers with the information they need in order to decide about possible purchases. These tools act as a specialized salesperson for the customer, and they are usually enhanced with customization capabilities; thus they adapt themselves to the users, basing themselves on the analysis of their preferences and interests. Recommenders rely mainly on user interfaces, marketing techniques, and large amounts of information about other customers and products; all this is done, of course, in an effort to propose the right item to the right customer. Besides, recommenders are fundamental elements in sustaining usability and site confidence (Egger, 2001); that’s the reason why e-market sites give them an important role in their design (Spiekermann & Paraschiv, 2002). If a recommender system is to be perceived as useful by its users, it must address several problems, such as the lack of user knowledge in a specific domain, information overload, and a minimization of the cost of interaction. EC recommenders are gradually becoming powerful tools for EC business (Gil & García, 2003) making use of complex mechanisms mainly in order to support the user’s decision process by allowing the analogical reasoning by the human being, and avoiding the disorientation process that occurs when one has large amounts of information to analyse and compare. This article describes some fundamental aspects in building real recommenders for EC. We will first set up the scenario by exposing the importance of recommender systems in EC, as well as the stages involved in a recommender-assisted purchase. Next, we will describe the main issues along three main axes: first, how recommender systems require a careful elicitation of user requirements; after that, the development and tuning of the recommendation algorithms; and, finally, the design and usability testing of the user interfaces. Lastly, we will show some future trends in recommenders and a conclusion.
8
Zhenhui, Li, and Dai Sulei. "Commercial Use of Mobile Social Media and Social Relationship." In Impacts of Mobile Use and Experience on Contemporary Society, 128–49. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7885-7.ch008.
Full textAbstract:
China is well known for its wide and increasing commercial use of mobile social media for various purposes in different areas, ranging from online shopping to social networking. Such a popular commercial use was insightfully examined in relation to social relationship in the age of mobile internet, which enables people of either weak or strong connections to socialize anywhere anytime, leading to scenarios where mobile social media can be leveraged for profits. In what way can user experiences be guaranteed while platforms' value-added targets be achieved at the same time? In addressing that question, the authors of this chapter examined the commercial use of mobile social media in the context of complicated social networks. It is expected from the editor that further studies are to be carried out to comprehensively and comparatively examine the same topic in different countries or cultures.
9
Zhenhui, Li, and Dai Sulei. "Commercial Use of Mobile Social Media and Social Relationship." In Research Anthology on Usage, Identity, and Impact of Social Media on Society and Culture, 596–617. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6307-9.ch032.
Full textAbstract:
China is well known for its wide and increasing commercial use of mobile social media for various purposes in different areas, ranging from online shopping to social networking. Such a popular commercial use was insightfully examined in relation to social relationship in the age of mobile internet, which enables people of either weak or strong connections to socialize anywhere anytime, leading to scenarios where mobile social media can be leveraged for profits. In what way can user experiences be guaranteed while platforms' value-added targets be achieved at the same time? In addressing that question, the authors of this chapter examined the commercial use of mobile social media in the context of complicated social networks. It is expected from the editor that further studies are to be carried out to comprehensively and comparatively examine the same topic in different countries or cultures.
10
Pantano, Eleonora, and Harry Timmermans. "An Exploratory Study of Client-Vendor Relationships for Predicting the Effects of Advanced Technology-Based Retail Scenarios." In Handbook of Research on Retailer-Consumer Relationship Development, 371–83. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6074-8.ch020.
Full textAbstract:
Continuous advancements in technology make available a huge number of advanced systems that enhance consumers' in-store experience and shopping activity. In fact, the introduction of in-store technologies such as self-service systems, interactive displays, digital signage, etc. has impacted the retail process in multiple ways, including client-vendor interactions. While in a traditional offline context retailers exploit the development of interpersonal relationships for increasing consumers' trust, loyalty, and satisfaction, in a technology-mediated context this process becomes more difficult. To advance our knowledge and predict the future diffusion of these technologies, it is necessary to answer the following questions: (1) to what extent do consumers trust (physical) retailers' suggestions? and (2) to what extent will consumers substitute the opinion of a physical seller with virtual recommendations? The aim of this chapter is to assess the typology of current existing relationships between vendor (retail staff) and clients, with special emphasis on consumers' trust towards their suggestions. To achieve this goal, the chapter focuses on a comparison of consumers' perception of suggestions proposed by physical friends and suggestions proposed online (e.g. through social networks). The findings provide a benchmark to evaluate current client-vendor and client-social networks relationships and enhance our understanding of the possible substitution of physical vendors by recommendations systems based on advanced technologies.
Conference papers on the topic "ONLINE SHOPPING SCENARIO"
1
Eduardo Hauqui Tonin, Paulo, Elton Moura Nickel, and Flávio Anthero Nunes Vianna Dos Santos. "Technology and sensory stimuli as support for physical retail experience design." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001792.
Full textAbstract:
With the Coronavirus pandemic and the necessary social isolation, purchases made by the digital channel gained a notable space, evidecing the changes in shopping habits that have been taking place over the last ten years. In Brazil, the growth of online shopping was 75% and in China, sales through e-commerce are expected to surpass sales in physical stores for the next two years to come (e-Marketer, 2021). In the age of digital interactions, consumers demand a new level of concern. Being at the center in the making of products and services, users define any and all design decisions. Euromonitor, in a report issued in late 2020, pointed out that approximately 60% of consumers between 15 and 29 years old used augmented reality or virtual reality in the last year at the same time that 68% of consumers over 60 years old prefer to talk to human representatives when making transactions or purchases. This proves the need to rethink the experience offered in physical retail, incorporating different generations and shopping habits. Although attracted by the speed and convenience of the virtual environment, customers are looking for personalized and multi-sensory shopping experiences that only physical stores are able to offer. In order to claim their importance and permanence in the current scenario that moves with dynamism, these points of sale must include in the experience they offer personalized solutions that involve, for instance, sensory stimulation and technology. When consistent with the brand image, product, and target audience, these solutions can, together, create a more compelling experience.Marketing or sensory branding consists of the precise use of environmental elements in order to act on the senses and generate affective, cognitive and behavioral reactions, which can contribute to usability and satisfaction, as well as memory and decision-making processes. Through technology, in addition to simplifying tasks, it becomes possible to make visible what would otherwise be invisible or even hide what is irrelevante in the shaping of the shopping journey. In attendance as mnemonic aids, like smartphones and tablets, or even solutions for immersive experiences, as augmented or virtural reality devices, technologies must be designed according to the audience they intend to interact with. This study is characterized as an exploratory research that, through literature review, seeks to raise ideas and thoughts on technology and sensory stimulation acting as support for experience design in physical retail environments, understanding the influence they can exert on users cognitive processes and responses. Based on different fields of knowledge, such as cognitive ergonomics and marketing, the study intends to promote an integrated view of the topic, facilitating its approach and understanding for both designers and retailers.
2
Mitrevski, Pece, and Ilija Hristoski. "Evaluation of Business-Oriented Performance Metrics in e-Commerce using Web-based Simulation." In CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/carma2016.2016.2915.
Full textAbstract:
The Web 2.0 paradigm has radically changed the way businesses are run all around the world. Moreover, e-Commerce has overcome in daily shopping activities. For management teams, the assessment, evaluation, and forecasting of online incomes and other business-oriented performance measures have become ‘a holy grail’, the ultimate question imposing their current and future e-Commerce projects. Within the paper, we describe the development of a Web-based simulation model, suitable for their estimation, taking into account multiple operation profiles and scenarios. Specifically, we put focus on introducing specific classes of e-Customers, as well as the workload characterization of an arbitrary e-Commerce website. On the other hand, we employ and embed the principles of the system thinking approach and the system dynamics into the proposed solution. As a result, a complete simulation model has been developed, available online. The model, which includes numerous adjustable input variables, can be successfully utilized in making ‘what-if’-like insights into a plethora of business-oriented performance metrics for an arbitrary e-Commerce website. This project is, also, a great example of the power delivered by InsightMaker®, free-ofcharge Web-based software, suitable for a collaborative online development of models following the systems thinking paradigm.
3
Li, Sheng, and Handong Zhao. "A Survey on Representation Learning for User Modeling." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/695.
Full textAbstract:
Artificial intelligent systems are changing every aspect of our daily life. In the past decades, numerous approaches have been developed to characterize user behavior, in order to deliver personalized experience to users in scenarios like online shopping or movie recommendation. This paper presents a comprehensive survey of recent advances in user modeling from the perspective of representation learning. In particular, we formulate user modeling as a process of learning latent representations for users. We discuss both the static and sequential representation learning methods for the purpose of user modeling, and review representative approaches in each category, such as matrix factorization, deep collaborative filtering, and recurrent neural networks. Both shallow and deep learning methods are reviewed and discussed. Finally, we conclude this survey and discuss a number of open research problems that would inspire further research in this field.
4
Lu, Jun-Ming, and Ting-Yu Lin. "Improving the user's expectation disconfirmation toward the tumbler by reducing the differences in sensory dominance between pre-purchase and post-purchase evaluation." In 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.38.
Full textAbstract:
Regardless of going online or physical shopping, expectation disconfirmation due to the discrepancy between pre-purchase and post-purchase evaluation may occur from time to time. Thus, this study takes the tumbler as an example and aims to explore the reasons behind, as well as finding a suitable solution. It is hypothesized that the change of sensory dominance in product interaction from purchase to real use might lead to expectation disconfirmation. More specifically, if the user-product interaction during purchase can be better designed to ensure the consistent sensory dominance with real use, there is a chance to avoid expectation disconfirmation. A set of five scenarios of user-product interaction was first proposed by investigating the daily-use behavior of tumbler users. 15 female participants with the experience of tumbler use were then recruited to experience the traditional product interaction during purchase first. After at least three weeks, they returned to experience the new manner of user-product interaction during purchase. Subsequently, each participant took a tumbler home to use it for four consecutive weeks, during which she was required to provide subjective responses at the end of each week. Results showed that there is no sufficient evidence that ensuring consistent sensory dominance during purchase with real use can avoid expectation disconfirmation. Nevertheless, the findings through interviews support the need for doing so.