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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Selvam, Dr P. Mari, and Dr A. Gomathi. "Influence of Online Shopping Buying Behaviour in Post Covid 19." International Journal of Innovative Technology and Exploring Engineering 11, no. 1 (November 30, 2021): 56–58. http://dx.doi.org/10.35940/ijitee.a9603.1111121.
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The corona virus which causes a highly infectious of Corona virus disease (COVID-19) that has affected more than 4 lakh people in around the world. Since it has been increased during the pandemic period online shopping usage, rural, urban and globally. In the current scenario many youngster’s changing the attitude has purchased to online shopping because social distancing and self-quarantine efforts. Hence the online shopping promoters like Amazon, flip kart, Reliance digital and other agencies are for the time being too given the importance its available fulfilment and logistics facility to serve the basic needs such as household products, packaged food, health care, hygiene, personal safety and other high priority products. It is for the time being going to taking orders for lower-priority to high priority products. In this study to analyze the impact of online buying behaviour increased in after pandemic period.
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Harshada Kudtarkar, Dinesh Farad, Ruchira Zope, and Prof. Dhanashree Hadsu. "Image-Based Virtual Clothing." International Journal of Engineering and Management Research 11, no. 2 (April 9, 2021): 38–42. http://dx.doi.org/10.31033/ijemr.11.2.5.
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Online shopping has found speedy growth for the fast-paced world in the present situation. Precisely garments shopping are one of the most exciting parts especially for ladies. The continuous changing fashion and newly designed outfits motivates customers for shopping. New online shopping stores have added an ease for shopping your desired products by removing the constraints of places and time limits. As far as garments are concerned, predicting the appropriate size and imaging the real life look of that garment just by viewing its image is a challenging task.
The project introduces an easy and feasible solution for the online shopping try-on scenario by introducing an app with a digital try-on feature. It can enhance online shopping experience. In this project, we propose an idea for fitting a given 3D garment model on a person. We will use 3d models of the clothes that will fit on the image of the user and enable a user to see himself/herself wearing virtual clothes. The 3D models of the clothes are stored in the system. On opening the application, user can view the clothes available and by using the mobile’s camera the user can get an idea of how the garment will fit on him/her. This way the user can have a fair idea about the look of the garment.
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Nechyporenko, Nataliya, Antonio Morales, Enric Cervera, and Angel P. del Pobil. "A Practical Approach for Picking Items in an Online Shopping Warehouse." Applied Sciences 11, no. 13 (June 23, 2021): 5805. http://dx.doi.org/10.3390/app11135805.
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Commercially viable automated picking in unstructured environments by a robot arm remains a difficult challenge. The problem of robot grasp planning has long been around but the existing solutions tend to be limited when it comes to deploy them in open-ended realistic scenarios. Practical picking systems are called for that can handle the different properties of the objects to be manipulated, as well as the problems arising from occlusions and constrained accessibility. This paper presents a practical solution to the problem of robot picking in an online shopping warehouse by means of a novel approach that integrates a carefully selected method with a new strategy, the centroid normal approach (CNA), on a cost-effective dual-arm robotic system with two grippers specifically designed for this purpose: a two-finger gripper and a vacuum gripper. Objects identified in the scene point cloud are matched to the grasping techniques and grippers to maximize success. Extensive experimentation provides clues as to what are the reasons for success and failure. We chose as benchmark the scenario proposed by the 2017 Amazon Robotics Challenge, since it represents a realistic description of a retail shopping warehouse case; it includes many challenging constraints, such as a wide variety of different product items with a diversity of properties, which are also presented with restricted visibility and accessibility.
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M., Dileep Kumar, and Normala S. Govindarajo . "Malaysian Consumer Research: Does Computer Literacy Affirmative towards E-commerce Activities?" Journal of Economics and Behavioral Studies 7, no. 1(J) (February 28, 2015): 50–63. http://dx.doi.org/10.22610/jebs.v7i1(j).562.
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Rapid expansion of technology application, especially in the field of information technology, with the support of fine tune infrastructure, further correlated with severely with the ecommerce activities. This scenario is not much different in developed as well as developing countries. It is a placid trend nowadays that the customers are moving from traditional direct shopping practices to online shopping. In this scenario it is observed that the generations Y is more contented with online purchasing and adoption of e-commerce practices compare to generation X. It is hypothesized in this research that higher the computer literacy people have with higher the attitude in favor for technology adoption and ecommerce activities. Contextualizing this assumption to Malaysian scenario, fewer studies have been conducted so far and seldom any information that has shared across to the research world. Hence, a study was conducted to analyze the effect of computer literacy on internet usages and ecommerce activities among generation Y in the Malaysian context. This study provides interesting insights into the technology adoption aptitude of generation Y.
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Nagar, Komal. "Assessing the Impact of Online Retailer Models on Consumer’s Attitude and Purchase Intentions." IIM Kozhikode Society & Management Review 7, no. 1 (December 8, 2017): 1–12. http://dx.doi.org/10.1177/2277975217733871.
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The purpose of this research was to examine the influence of online retailer models on Indian consumer’s attitude towards retail websites and their purchase intentions. Using an online shopping scenario, a case study was conducted on 240 postgraduate marketing students at an Indian university to evaluate the effects of two online shopping website factors on the user’s attitude towards retail websites and their purchase intentions. The findings of the study suggest that players in the e-tailing business should increasingly move towards multi category purchase model to increase the purchase intentions of the consumers. They also need to constantly review and upgrade the services offered to ensure increased intentions to purchase. The findings can enable online retailers in India to explore and shape the Internet as the next big business opportunity.
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Parihar, Veena, and Surendra Yadav. "Comparative Analysis Of Different Machine Learning Algorithms To Predict Online Shoppers’ Behaviour." International Journal of Advanced Networking and Applications 13, no. 06 (2022): 5169–82. http://dx.doi.org/10.35444/ijana.2022.13603.
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The trend of online-shopping has gradually increased and this trend is growing with a fast pace in the present scenario. As the trend of online-shopping is growing day by day, the prediction of consumer purchasing behavior and choices is becoming as a topic of curiosity for the researchers and business-organizations. It is very challenging to predict buying behaviour of clients in advance. The discovery of consumer purchase patterns in advance can be proven useful for increasing the growth of businesses and generation of revenue. This proposed research work is an effort to develop a framework that presents some useful insights and predicts consumers’ shopping behaviour by applying effective machine learning techniques.The present research work studies and analyses the various aspects and dimensions of online shopping which may impact the experience of purchasing by examining the considered data-set. Further, the thorough study of different machine-learning classification algorithms was performed to be applied for developing a new and better model for analyzing the online purchase data. Some chosen algorithms were applied on the selected data-set and performance evaluation was done using the performance metrics. The algorithm that performed well in terms of accuracy and other factors were chosen for developing the new model.
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Raza, Md Danish, and Reshma Nikhat. "Purchasing pattern of consumers towards online shopping of electronic goods." Journal of Statistics & Management Systems 26, no. 3 (2023): 463–72. http://dx.doi.org/10.47974/jsms-1040.
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The advent of www (World Wide Web) completely altered attitudes, behaviours, and the marketing scenario around the world. Purchasing pattern refers to the why and how behind consumer purchase decision. Electronic goods are the most popular online searched and compared categories on the internet. In recent years, it has become the top e-commerce subcategory, where people directly search for the specific brand of electronic goods. It is common to picture the Indian electronic sector as a sophisticated, ever-expanding business. In earlier days the marketing was only to fulfill the needs of the customers but now it is no more simple exercise. Customers have become more focused and smart while purchasing, which postulate innovation in marketing. Customers have more sophisticated information technology (IT) skills when looking for products and making purchasing decisions. Because of the constant market accessibility provided by e-commerce, consumers find it more appealing and practical. This paper attempts to study the purchasing pattern of consumers towards online shopping of electronic goods.
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Jaiwant, Sunanda Vincent. "A Study on the Factors Influencing Online Purchase." Ushus Journal of Business Management 19, no. 2 (August 30, 2021): 69–83. http://dx.doi.org/10.12725/ujbm.51.5.
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Shopping is the second nature of modern mankind. Shopping has seen evolution and revolution over the period of time. One of the biggest revolutions that the world has seen in the shopping process is the advent of the internet. The Internet has changed the way we buy our things today. It has changed how the businesses perform and also the way the customers purchase the product and services of the business concerns. Online purchasing is the in-thing now. It is the millennial way of thinking and way of purchasing. Even the Indian scenario has seen and felt this transformation. Indian online business has a yearly development of 35% from 2009 to $28 billion every 2016 and furthermore it is normal that they will reach $70 billion by 2020. Online business gives preferences to both the Business supplier and buyers. For the business it is less demanding to advertise a specific item with ease and furthermore the item effectively achieves the worldwide market. For the purchasers they can purchase items from home, so no repetitive work in purchasing and they can exchange at their convenience. Web based business hence has a more prominent advantage given it is extremely secure. This research paper aims to examine the online buying behavior of consumers. The paper also attempts to study the factors influencing such online purchase.
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Zheng, Yihan. "The Effect of Reference Price on Customers’ Decisions in Online Shopping." International Journal of Psychological Studies 11, no. 4 (September 25, 2019): 26. http://dx.doi.org/10.5539/ijps.v11n4p26.
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In this research, we examined the effect that different reference prices have on online customers in their shopping process. We hypothesized that the actual price paid will be higher for participants who saw a higher reference price. We designed two different surveys targeting potential customers - the only difference between the two versions was the price for reference shown to the participants at the beginning of the survey. Designed to mimic the actual online shopping scenario, the surveys collected 136 responses in total, and the results suggest there is a difference of $22.93 in the mean values of the price customers are willing to pay. The Hedges' g value for the mean difference is 0.42, which indicated that there is a practical significance. This result indicates that customers’ willingness to pay will rise as the reference prices increase.
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Ma, Rong, Bingjia Shao, Jiaqi Chen, and Dan Dai. "The Impacts of Online Clothes Short Video Display on Consumers’ Perceived Quality." Information 11, no. 2 (February 5, 2020): 87. http://dx.doi.org/10.3390/info11020087.
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In the context of the rapid development of online shopping, enterprises and consumers realized the importance of an effective online short video display. However, academics rarely explored the content of a short video display and its impacts on consumers’ perceptions. This paper discusses the impacts of this display form on consumers’ perceived quality via questionnaires and scenario experiments based on the existing literature and theories. A short video of clothes was the main research object. We used an experimental design that included 2 (time: long, short) × 2 (display perspectives: overall, specific) × 2 (scenarios: outdoors, indoors) groups of experiments, for a total of eight groups of scenario experiments, to verify our hypotheses. The results reveal that the short video display makes consumers have a higher perceived quality compared with the long video display. Compared with a video that only includes an overall view of the product, a video that provides both an overall view and the details of the product makes consumers have a higher perceived quality. Consumers were found to have a higher perceived quality of products shot outdoors compared with products shot indoors.
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Blom, Angelica, Fredrik Lange, and Ronald L. Hess. "Omnichannel promotions and their effect on customer satisfaction." European Journal of Marketing 55, no. 13 (July 9, 2021): 177–201. http://dx.doi.org/10.1108/ejm-12-2018-0866.
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Purpose This paper aims to investigate whether customer satisfaction varies when presented with different types of omnichannel promotions (shopping goal-congruent vs shopping goal-incongruent and monetary vs non-monetary promotions) and if the effect on satisfaction is mediated by service excellence. In addition, this paper examines whether consumers respond differently to these promotions when shopping for utilitarian or hedonic products or when they have an inherent utilitarian or hedonic shopping motivation. Design/methodology/approach Two online shopping scenario experiments are conducted. Study 1 (n = 1,034) differentiates effects of omnichannel promotions between hedonic and utilitarian product categories. Study 2 (n = 345) contrasts hedonic and utilitarian shopping motivation in the same product category. Findings The findings in this paper demonstrate positive effects from both presenting a shopping goal congruent and a monetary promotion in an omnichannel setting on customer satisfaction. The positive effects are explained by service excellence and are demonstrated to be attenuated in the hedonic product category and for consumers with a hedonic shopping motivation. Research limitations/implications The effect of omnichannel promotions was demonstrated using a scenario-based experimental approach, future research should use field experiments. Practical implications The findings in this paper demonstrate practical implications for a retailer who wishes to optimize its omnichannel promotion strategy across channels and touchpoints. Originality/value To date there is little directions for retailers on how to optimize their omnichannel promotion strategy. This paper contributes to research and practice by demonstrating that shopping goal-congruent promotions (vs in-congruent) and monetary promotions (vs non-monetary) increase customer satisfaction more in an omnichannel context. The effects are enhanced for utilitarian (vs hedonic) products/shopping motivation.
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Baytar, Fatma, Telin Chung, and Eonyou Shin. "Evaluating garments in augmented reality when shopping online." Journal of Fashion Marketing and Management: An International Journal 24, no. 4 (April 2, 2020): 667–83. http://dx.doi.org/10.1108/jfmm-05-2018-0077.
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PurposeAugmented Reality (AR) integrates computer-generated images to a physical environment in real-time. Online apparel shopping presents some product-related risks, as consumers can neither physically see and touch the products nor try them on. The present study examined whether AR conveys reliable apparel product information in terms of fit, size, and product performance; and how AR affects attitudes toward apparel and purchase intentions when shopping online.Design/methodology/approachThis research was designed as a within-subject quasi-experimental study using repeated measures in two conditions: virtual try-on using the AR technology vs. physical try-on. A scenario was developed to help participants imagine themselves shopping online for a specific dress.FindingsResults indicated that size and color of dresses were conveyed accurately when utilizing AR as compared to physical try-on. Visual attributes such as style, garment details, and coordination with other items were found to be satisfactorily predicted when AR was employed. Overall, attitudes towards both AR and real dress, and purchase intentions were favorable. Participants with higher telepresence levels were found to have more positive attitudes towards the dress and greater purchase intentions when using AR as compared to the participants with low telepresence levels.Research limitations/implicationsOur findings implied that AR can provide enough information especially for garment sizes and visual characteristics when making purchase decisions. AR technology can be instrumental in introducing a certain style, building positive attitudes towards products, and driving sales, when the consumers perceive a certain level of “being there”. This study was limited to female students in North America. Also, because a single stimulus was used, the results cannot be generalized to other stimuli.Originality/valueOur study findings showed that participants were able to select the right garment size by using AR. The average ratings for visual characteristics such as style and detail were above the neutral level when using AR; indicating that participants can understand visual attributes in AR when shopping online. Moreover, in the AR condition participants with higher telepresence levels had higher attitudes towards the garment and purchase intentions as compared to the participants with low telepresence. AR can be instrumental for online apparel shopping. Retailers need to understand the potentials of these technologies and work with technology developers to enhance consumers' experiences.
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Purohit, Harsh, Deepak Kalra, and Harish K. G. Nair. "Technology Acceptance Model and Attitude of Consumers towards Online Shopping with Special Reference to UAE." International Journal of Computations, Information and Manufacturing (IJCIM) 3, no. 1 (June 23, 2023): 35–48. http://dx.doi.org/10.54489/ijcim.v3i1.233.
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The research focuses on the potential for customers of different goods and services to adopt an Internet-based buying attitude that is more intensive than the current scenario inside the UAE. The access of Internet, the volume of Internet usage, and consumer knowledge of e-commerce are used to assess customers' e-readiness. Taken into account in the research a total of 264 e-transactions permitted clients from the cities were included in the study. Three different analyses and multiple regression analysis have been employed to determine out that the original desire of the residents of Dubai and Sharjah. Our examination used a descriptive methodology and survey technique to address relevant results and their implications for probable B2C e-shopping adoption in the nation's shopping activities.
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Gruntkowski, Lisa M., and Luis F. Martinez. "Online Grocery Shopping in Germany: Assessing the Impact of COVID-19." Journal of Theoretical and Applied Electronic Commerce Research 17, no. 3 (July 20, 2022): 984–1002. http://dx.doi.org/10.3390/jtaer17030050.
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Online grocery shopping in Germany has shown a strong growth in the past years and is expected to further develop in the future, especially through the influence of COVID-19. The main purpose of this study was to examine six theoretical customer-oriented factors and their influence on consumer online grocery purchase intentions. Additionally, this study compares consumer perceptions before and since the COVID-19 outbreak. Since the health crisis is very recent, the research on its impact on online grocery purchasing behavior is limited. A total of 402 valid questionnaires were collected in Germany. The data were analyzed using the software SPSS IBM 28. The results indicate that perceived risk still has a negative influence on purchase intentions, thus remaining relevant in online grocery shopping. However, the consumers’ perceived risk is considered lower compared to the pre-COVID-19 scenario. Moreover, perceived usefulness, perceived ease of use, perceived trust, convenience, as well as situational factors were found to have a positive relationship with purchase intention, both before the COVID-19 crisis and since then. The COVID-19 pandemic shows a strong reduction in perceived risk, while the remaining characteristics increase at moderate levels. Online grocery businesses could use the insights of this study to reduce perceived risks as well as successfully communicate the benefits of online shopping to consumers.
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Dixit, Abhishek, Akhilesh Tiwari, and R. K. Gupta. "A Model for Trend Analysis in the Online Shopping Scenario Using Multilevel Hesitation Pattern Mining." Mathematical Problems in Engineering 2021 (July 30, 2021): 1–11. http://dx.doi.org/10.1155/2021/2828262.
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The present paper proposes a new model for the exploration of hesitated patterns from multiple levels of conceptual hierarchy in the transactional dataset. The usual practice of mining patterns has focused on identifying frequent patterns (i.e., which occur together) in the transactional dataset but uncovers the vital information about the patterns which are almost frequent (but not exactly frequent) called “hesitated patterns.” The proposed model uses the reduced minimum support threshold (contains two values: attractiveness and hesitation) and constant minimum confidence threshold with the top-down progressive deepening approach for generating patterns and utilizing the apriori property. To validate the model, an online purchasing scenario of books through e-commerce-based online shopping platforms such as Amazon has been considered and shown that how the various factors contributed towards building hesitation to purchase a book at the time of purchasing. The present work suggests a novel way for deriving hesitated patterns from multiple levels in the conceptual hierarchy with respect to the target dataset. Moreover, it is observed that the concepts and theories available in the existing related work Lu and Ng (2007) are only focusing on the introductory aspect of vague set theory-based hesitation association rule mining, which is not useful for handling the patterns from multiple levels of granularity, while the proposed model is complete in nature and addresses the very significant and untouched problem of mining “multilevel hesitated patterns” and is certainly useful for exploring the hesitated patterns from multiple levels of granularity based on the considered hesitation status in a transactional dataset. These hesitated patterns can be further utilized by decision makers and business analysts to build the strategy on how to increase the attraction level of such hesitated items (appeared in a particular transaction/set of transactions in a given dataset) to convert their state from hesitated to preferred items.
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Wang, Qi, Lin Wang, Xiaohang Zhang, Yunxia Mao, and Peng Wang. "The impact research of online reviews’ sentiment polarity presentation on consumer purchase decision." Information Technology & People 30, no. 3 (August 7, 2017): 522–41. http://dx.doi.org/10.1108/itp-06-2014-0116.
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Purpose Because online shopping is risky, there is a strong need to develop better presentation of online reviews, which may reduce the perceived risk and create more pleasurable shopping experiences. To test the impact of online reviews’ sentiment polarity presentation, the purpose of this paper is to adopt a scenario experiment to study consumers’ decision-making process under the two scenarios of mixed presentation and classified presentation of online reviews collected from Jingdong.com in China: focusing on the comparative analysis on the differences of the consumers’ perceived risk, purchase intention and purchase delay, and further studying the interaction effect of involvement and online reviews’ sentiment polarity presentation. Design/methodology/approach This paper employed a 2×2 factorial experiment to test the hypothesis. The experimental design is divided into four groups: 2 (online reviews’ sentiment polarity presentation: mixed presentation vs classified presentation) × 2 (involvement: low vs high), each of which contains 90 samples. Through the data analysis, the main effect, mediation effect and moderating effect were examined. Findings The results show that compared with mixed presentation, classified presentation can reduce purchase intention and increase purchase delay due to the existence of loss aversion and availability heuristic. Furthermore, the paper also confirms that there is a significant interaction effect between involvement and online reviews’ sentiment polarity presentation. Originality/value The existing research pays less attention to the impact of online reviews presentation on consumers’ decision making, especially the lack of discussion on the interaction effect between involvement and online reviews presentation. For this reason, this paper proposes a problem, which concerns whether mixed presentation and classified presentation of online reviews will affect consumers’ decision making differently.
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Xu, Xiaoyu, Luyao Wang, and Kai Zhao. "Exploring Determinants of Consumers’ Platform Usage in “Double Eleven” Shopping Carnival in China: Cognition and Emotion from an Integrated Perspective." Sustainability 12, no. 7 (April 1, 2020): 2790. http://dx.doi.org/10.3390/su12072790.
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There is a great deal of interest concerning how e-commerce in China can be developed in sustainable ways. Answering this question requires not only the strategic management at the aggregate level, but also developing a micro framework that can effectively understand the cognitive-behavioral pathway of consumers in various online contexts. This paper focuses on the “Double Eleven” Global Online Shopping Carnival (GOSC) in China and attempts to investigate the determinants of consumers’ behaviors of shopping platform usage. The distinguishing feature of this study is that we define GOSC as a unique scenario compared to normal online shopping context, where consumers’ emotional state towards such an event plays a larger role in determining behaviors. Based on Cognitive Emotion Theory (CET), the main findings of this paper suggest that (1) consumers’ behaviors of online platform usage can be affected by both cognitions related factors, including price value, gamification and personalized services, and by emotional state such as having arousal and being pleasured; (2) cognition has an effect on emotional state, such as the positive effect of price value on arousal and pleasure or gamification on arousal. Our study, therefore, has highlighted a number of key points to the sustainable development of GOSC. Limitations and further research directions are also discussed.
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Chandola, Nikita, and Nidhi Shendurnikar. "COVID-19 and Shopping Trends: A Study of How the Pandemic Affected Consumer Behaviour in Vadodara." Journal of Communication and Management 2, no. 01 (March 13, 2023): 44–52. http://dx.doi.org/10.58966/jcm2023218.
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The internet has become an essential and inseparable component of our daily life. This is particularly apparent in the way we currently consume, shop, and make purchases. India quickly and successfully adopted the concept and practice of internet shopping. Nevertheless, the country still sees a healthy amount of traditional consumer buying behavior. Consumers’ buying habits and preferences underwent a significant change as a result of the COVID-19 epidemic, with a shift to online shopping that was both voluntary and compulsive. The present study aims to understand the changes and influences on consumer behavior in Vadodara city (Gujarat) in the context of the pandemic. It also seeks to understand future online shopping prospects in the post-COVID scenario. An exploratory research design was employed, and a consumer survey was conducted to understand the effect the pandemic had on young shoppers (20-45 years) and their buying behavior in general. We recorded 140 responses from young adults residing in Vadodara with respect to their shopping habits, spending capacity, purchasing priorities, etc. The findings in the study show that the pandemic has not drastically influenced purchasing frequency and shopping priorities. However, COVID-19 has affected consumers’ shopping habits to some degree, especially during the lockdown period. Though old purchasing habits have started to re-emerge, from the study results, it can be inferred that some shopping behavior acquired during the pandemic is here to stay. In conclusion, the study found that despite the challenges faced, consumers have switched to o
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Chen, Lirong, Wenli Li, Hao Chen, and Shidao Geng. "Detection of Fake Reviews: Analysis of Sellers’ Manipulation Behavior." Sustainability 11, no. 17 (September 3, 2019): 4802. http://dx.doi.org/10.3390/su11174802.
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Online reputation systems play an important role in reducing consumers’ purchase uncertainty in online shopping. However, some sellers manipulate reviews for their own interests, which reduces the effectiveness of the reputation system. Unlike the previous studies, which focus on features of reviews and reviewers, this study establishes a game model to analyze sellers’ manipulation behavior and identifies what kind of sellers or under what scenario sellers are motivated to manipulate reviews. Our study provides a new perspective for platform to detect fake reviews and helps consumers to make good use of online reviews without getting trapped in some sellers’ fraudulent manipulation.
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Az Zahra, Nadhilah Putri, and Chairy Chairy. "Influence of Live Streaming Characteristics on Continuance Intention to Shopping on TikTok." RSF Conference Series: Business, Management and Social Sciences 3, no. 1 (July 5, 2023): 36–51. http://dx.doi.org/10.31098/bmss.v3i1.642.
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As a new business model, live-streaming shopping has high commercial value. Although research on live streaming shopping has been in great demand, a holistic model that explains why audiences are willing to continue using such new selling formats is limited. According to interactive marketing theory, this research proposes a theoretical model to examine the impact of live-streaming characteristics on trust and how trust affects the audience's continuance intention in the live-streaming shopping scenario. The data were collected using an online questionnaire spread out through social media such as TikTok, Facebook and Instagram. A partial Least Square (PLS) approach was used to analyze the data. From the result, live streaming characteristics used in this study are interactivity, informativeness, entertainment, perceived relevance, visibility, professionalization, and originality. Empirical results (N=325) reveal that trust is affected by the seven characteristics of live-streaming shopping that affect continuance intention. Questionnaires were distributed through social media to get Indonesian respondents who had used live-streaming shopping on TikTok. However, it is found that live-streaming genres do not moderate the impact of trust towards continuance intention. Research findings indicate how trust is built to generate optimal consequences in live-streaming shopping.
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Ul Ain, Qurat, Malik Muhammad Saad Missen, and Surya Prasath. "LRAP: Layered Ring Based Adaptive and Personalized Usability Model for Mobile Commerce Apps." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 12 (June 20, 2023): 74–93. http://dx.doi.org/10.3991/ijim.v17i12.37995.
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Usability is one of the most important characteristics of software applications, especially when it comes to mobile shopping applications. There is a great deal of shift from traditional shopping to online shopping because it benefits both parties i.e., customers as well as businessmen. In such a scenario, the usability factor can play a very vital role in the business industry. If a client stops using a mobile shopping app because it is not user-friendly, it can badly damage the annual revenues especially when hundreds of alternatives are available and there is tough competition. Therefore, to keep existing customers intact and to attract new customers, it is very important to provide a user-friendly mobile app to customers. In this paper, we consider a large variety of online customers with diverse requirements. background and constraints and evaluate the usability of existing mobile e-commerce apps to identify the actual problems people are facing with existing applications and do a systematic review of existing shopping apps. Then, we propose a personalized and adaptive usability model for mobile commerce apps considering the neglected user type i.e., illiterates and people with tactile disabilities. The proposed model LRAP is a layered approach from generalization to specification and it can be considered an extension of the famous PACMAD usability model. Besides this, we also suggest a combining score tool which will be helpful in measuring the usability of any app.
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Anjum, Safia, and Junwu Chai. "Drivers of Cash-on-Delivery Method of Payment in E-Commerce Shopping: Evidence From Pakistan." SAGE Open 10, no. 3 (July 2020): 215824402091739. http://dx.doi.org/10.1177/2158244020917392.
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The e-commerce market of Pakistan has phenomenally fostered in recent years as a result of cyberspace expansion and launching of various national and international vendors. While country’s e-commerce scenario has significantly reshaped, customers are still reluctant to adopt e-payment methods and cash on delivery (COD) prevails as the method of payments for online shopping. This study was conducted to empirically investigate major factors which influence Pakistani customers to opt for COD while shopping online. A framework was proposed based on seven constructs and the data were collected using 5-point Likert-type scale. Statistical Package for the Social Sciences (SPSS) v. 22 and Amos v. 23 were used for statistical analysis and structural equation modeling (SEM). Cronbach’s alpha values above .85 were found suggesting good internal consistency. The goodness-of-fit index and adjusted goodness-of-fit index values were observed to be 0.933 and 0.866, respectively. In SEM analysis, perceived security against online scams and perceived control over the buying process were observed to be the key role players instigating Pakistani customers to use COD. Interestingly, perceived trust and perceived satisfaction did not show significant impact. Moreover, the moderator of ease of use positively mediated the influence of perceived security on the use of COD. This study presents imperative implications for online businesses as well as government agencies. The investigation provides an insight into purchase behaviors of Pakistani e-customers and has paramount importance for e-commerce retailers and marketing startups in evolving e-commerce scenario of the country.
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Choi, Tsan-Ming, Pui-Sze Chow, Bowood Kwok, Shuk-Ching Liu, and Bin Shen. "Service Quality of Online Shopping Platforms: A Case-Based Empirical and Analytical Study." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/128678.
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Customer service is crucially important for online shopping platforms (OSPs) such as eBay and Taobao. Based on the well-established service quality instruments and the scenario of the specific case on Taobao, this paper focuses on exploring the service quality of an OSP with an aim of revealing customer perceptions of the service quality associated with the provided functions and investigating their impacts on customer loyalty. By an empirical study, this paper finds that the “fulfillment and responsiveness” function is significantly related to the customer loyalty. Further analytical study is conducted to reveal that the optimal service level on the “fulfillment and responsiveness” function for the risk averse OSP uniquely exists. Moreover, the analytical results prove that (i) if the customer loyalty is more positively correlated to the service level, it will lead to a larger optimal service level, and (ii) the optimal service level is independent of the profit target, the source of uncertainty, and the risk preference of the OSP.
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Huang, Tseng-Lung, Shane Mathews, and Cindy Yunhsin Chou. "Enhancing online rapport experience via augmented reality." Journal of Services Marketing 33, no. 7 (December 12, 2019): 851–65. http://dx.doi.org/10.1108/jsm-12-2018-0366.
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Purpose The purpose of this study is to draws on self-determination and self-evaluation theories to examine the psychological factors impacted by augmented reality (AR) services, an augmented reality try-on system. This study highlights three characteristics of modality, synchronous sense or ownership and re-processability within an AR try-on experiences as well as the moderating effects of consumers’ body surveillance and fashion consciousness. Design/methodology/approach Using a scenario survey approach, this study designs characteristics of an AR try-on system to examine the research model and the hypotheses. A total of 207 responses are collected and analysed using the SmartPLS 3 statistical software. Findings The results show that modality, synchronous sense of ownership control and re-processability of AR try-on system positively affect consumer’s rapport experience. Both body surveillance and fashion consciousness significantly moderate the effects of AR try-on service system characteristics on consumer rapport experience. Research limitations/implications This study highlights the importance of understanding the implications of the evolution of cyborg consumerism where consumer technology interface systems such as AR, as a source of technologically mediated modality, become part of the consumer’s body, an extension of their body if you will. Practical implications Based on the study findings, marketing managers can understand how to better use AR to implement digital promotional strategies for various body-involvement products. Originality/value Using immersive technologies, this study shows that AR allows a consumer see an authentic self and tangible extension of their physical self in an online shopping setting, thus enhancing a consumer’s online shopping experience.
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Fatiah Rahmadanti, Tania, Mohamad Jajuli, and Intan Purnamasari. "Klasifikasi Pengguna Shopee Berdasarkan Promosi Menggunakan Naïve Bayes." Generation Journal 5, no. 2 (June 28, 2021): 81–90. http://dx.doi.org/10.29407/gj.v5i2.15998.
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Online shopping is a transaction of buying and selling goods or services through intermediary media, namely social networks. There has been a change in consumption patterns and the way people spend their money, which was originally conventional to switch to E-Commerce services due to several factors, namely the increasing public interest in online shopping due to the COVID-19 virus outbreak, and throughout 2019 E-Commerce users who made transactions reached 168.3 million people. . Based on iprice report data in 2020, Shopee is the most visited E-Commerce with a total of 129,320,800 visitors. Shopee is only a third party that provides a place to sell and payment facilities, therefore Shopee is not responsible for marketing the products sold. To attract consumers, sellers need attractive promotions. Therefore, research is needed to classify E-Commerce users. The purpose of this research is to classify E-Commerce users based on the promotion used using the Naïve Bayes algorithm with the Knowledge Discovery in Database (KDD) methodology. Nine test scenarios were carried out with cross validation which showed that the best performance was a test scenario using 3 folds which resulted in performance with an accuracy value of 88.73%, and with a kappa value of 0.451 which was included in the moderate category. Based on these results, the model generated by the Naïve Bayes algorithm is quite consistent.
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Alversia, Yeshika, and Rizky Wijayanti. "CUSTOMER COMPLAINT RESPONSE STRATEGY IN SERVICE FAILURE: STUDY OF ONLINE SHOPPER IN INDONESIA." AFEBI Management and Business Review 4, no. 1 (June 10, 2019): 13. http://dx.doi.org/10.47312/ambr.v4i1.225.
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<em>The shifting pattern of shopping habit into a digital nowadays perceived by the business players as the trigger of the growth in e-commerce and e-marketplace. Indonesia is currently one of the largest markets in Southeast Asia for online shopping. On the other hand, it is inevitable that there are still many obstacles and problems that defer the optimized growth of e-marketplace in Indonesia. There are customer concerns about issues that may arise when they do online shopping. Service failures that often arise eventually encourage customers to complain. Failure in service that lead to the emergence of various complaints from customers is an inevitable thing. Each company must prepare an optimal strategy to manage those complaints. The objective of this research is to find out whether there is a difference effect of service failure explanation in the form of excuse, justification, reference and apology on customer satisfaction and repurchase, in the high level of problem condition compared to the low level of problem condition, for the case of online shopper e-marketplace in Indonesia. Furthermore, this research is conducted with the purpose to build the best strategy of giving response using service failure explanation (i.e. excuse, justification, reference and apology). Researchers use a scenario-based experiment as the method and then all the data were analysed using T-test and ANOVA. Total 325 respondents of online shoppers in Indonesia were collected, and the results revealed that apology and justification are the best choices for responding customers’ complaints.</em>
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Alversia, Yeshika, and Rizky Wijayanti. "CUSTOMER COMPLAINT RESPONSE STRATEGY IN SERVICE FAILURE: STUDY OF ONLINE SHOPPER IN INDONESIA." AFEBI Management and Business Review 4, no. 01 (October 10, 2019): 13. http://dx.doi.org/10.47312/ambr.v4i01.225.
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<em>The shifting pattern of shopping habit into a digital nowadays perceived by the business players as the trigger of the growth in e-commerce and e-marketplace. Indonesia is currently one of the largest markets in Southeast Asia for online shopping. On the other hand, it is inevitable that there are still many obstacles and problems that defer the optimized growth of e-marketplace in Indonesia. There are customer concerns about issues that may arise when they do online shopping. Service failures that often arise eventually encourage customers to complain. Failure in service that lead to the emergence of various complaints from customers is an inevitable thing. Each company must prepare an optimal strategy to manage those complaints. The objective of this research is to find out whether there is a difference effect of service failure explanation in the form of excuse, justification, reference and apology on customer satisfaction and repurchase, in the high level of problem condition compared to the low level of problem condition, for the case of online shopper e-marketplace in Indonesia. Furthermore, this research is conducted with the purpose to build the best strategy of giving response using service failure explanation (i.e. excuse, justification, reference and apology). Researchers use a scenario-based experiment as the method and then all the data were analysed using T-test and ANOVA. Total 325 respondents of online shoppers in Indonesia were collected, and the results revealed that apology and justification are the best choices for responding customers’ complaints.</em>
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Khajehzadeh, Saman, Harmen Oppewal, and Dewi Tojib. "Mobile coupons: what to offer, to whom, and where?" European Journal of Marketing 49, no. 5/6 (May 11, 2015): 851–73. http://dx.doi.org/10.1108/ejm-04-2014-0252.
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Purpose – This paper aims to investigate the redemption of promotional offers in a mobile service context. It specifically studies how mobile coupon redemption depends on the type of product offered, the convenience of accessing a retailer and the consumer’s shopping motivation. Retailers increasingly use mobile coupon services as a complementary channel to send promotional offers to consumers. Design/methodology/approach – Two studies examine how the three factors interact in determining coupon redemption. Both involve a scenario-based experiment. Participants are over 750 members of an online panel in the USA. Findings – The results show that when the retailer offers a hedonic product, consumers’ shopping motivation matters more, whereas when the retailer offers a utilitarian product, consumers’ location dominates their redemption intentions. Research limitations/implications – One limitation of this research is the use of hypothetical scenarios. Although this limitation was addressed by conducting a quasi-experiment, future research could be carried out using a field experiment. Practical implications – Results suggest that in a mobile channel, personalization of promotions is more important for utilitarian shoppers than for hedonic shoppers. Originality/value – Drawing on the theories of regulatory focus and preference for the status quo, this paper posits that mobile coupon redemption is determined by whether the offer requires consumers to divert from their focal shopping motivation (i.e. their status quo). The authors explain this difference by showing the mediating role of regulatory fit.
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Thakur, Rakhi, and Mala Srivastava. "A study on the impact of consumer risk perception and innovativeness on online shopping in India." International Journal of Retail & Distribution Management 43, no. 2 (February 9, 2015): 148–66. http://dx.doi.org/10.1108/ijrdm-06-2013-0128.
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Purpose – The purpose of this paper is to develop and empirically test a conceptual model to establish how consumer innovativeness can be used as a variable to positively influence online retailing adoption intention both directly and reducing consumer perceived risk (PR). Design/methodology/approach – The literature concerning personal innovativeness toward information technology and major components of PR have been systematically reviewed to develop a conceptual model. The impact of innovativeness and PR on online shopping adoption intention has been empirically validated by structural equation modeling using a sample of 433 internet users in India. Findings – Results reveals consumer innovativeness as a key construct to improve online retail adoption intention both directly and by its effective role in reducing consumer risk perception of using internet channel for making purchase of physical goods. Originality/value – There is a lack of studies which connect consumer innovativeness and PR in the online retailing context especially in Indian scenario. The results expand one’s knowledge on this relationship, propounding interesting empirical evidence of the model among current and potential online shoppers.
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Jin, Hong, and Yujie Zhang. "Research on the Operation Mode of Community Group Purchase in the Context of New Retail." Journal of Innovation and Development 2, no. 1 (February 22, 2023): 58–61. http://dx.doi.org/10.54097/jid.v2i1.5424.
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As one of the manifestations of new retail, community group purchase fully embodies the core meaning of the integrated development of the new retail model "online + offline" - users place orders online and pick up goods offline the next day, providing users with a convenient and fast shopping experience under the new scenario of "people and goods yard". Especially during the epidemic, residents are limited to go out, and community group purchase plays an important role in ensuring people's basic life. Based on this, this paper preliminarily explores the operation mode of community group purchase, analyzes its basic form characteristics, advantages and existing problems, and puts forward countermeasures and suggestions.
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Sulikowski, Piotr, Michał Kucznerowicz, Iwona Bąk, Andrzej Romanowski, and Tomasz Zdziebko. "Online Store Aesthetics Impact Efficacy of Product Recommendations and Highlighting." Sensors 22, no. 23 (November 26, 2022): 9186. http://dx.doi.org/10.3390/s22239186.
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Owing to high competition in e-commerce, customers may prefer sites that ensure that good user experience (UX) and website aesthetics are one of its qualities. The method of presenting items seems crucial for gaining and maintaining user attention. We conducted a task-based user eye-tracking study with n = 30 participants to examine two variants of an online fashion store: one based on aesthetic rules and one defying them. The following aspects of item presentation were considered: height and width the ratio of product photos, website colors, rounded borders, text visibility, spacing between elements, and smooth animation. We investigated their relationship to user attention by analyzing gaze fixation, tracking user interest, and conducting a supplementary survey. Experimental results showed that owing to following the rules of aesthetics in interface design in the presented fashion shopping scenario, elements such as the recommendation area and product highlights had a significant positive impact on customer attention.
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Zayed, Nurul Mohammad, Abdelrhman Meero, Abdul Aziz Abdu Rahman, K. M. Anwarul Islam, Shahiduzzaman Khan Shahi, and Shama Tasnim. "Demand and Supply-Side Analysis of Dhaka Based Online Business during the COVID-19 Pandemic: Evidence from Bangladesh." Journal of Southwest Jiaotong University 56, no. 3 (June 30, 2021): 567–81. http://dx.doi.org/10.35741/issn.0258-2724.56.3.47.
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This paper conducts the demand and supply-side analysis of Dhaka-based online businesses during the COVID-19 pandemic. In nations like Bangladesh, online-based shopping has not been simple due to an immature foundation and the hesitance, or failure, of consumers to use banks and electronic payment. It is certain that the once-in-a-century-pandemic, the Covid-19, has modified the way individuals think, shop, and transact while purchasing goods and services. This paper found out how the COVID-19 emergency has made significant changes in consumers’ buying behavior in the online business sector. Three different questionnaire surveys have been prepared that cover the demand side scenario of the consumers and the supply side scenario of online businesses, especially cover e-commerce, f-commerce, and ed-tech sectors. As the crisis measures have been embraced and urban areas like Dhaka have been put on lockdown, consumers have moved to purchase an ever-increasing number of things online. The online consumers’ buying behavior reflects how essential commodity purchases have replaced luxuries analyzing the pre-COVID and post-COVID buying behavior. Suppose this shift towards online purchases brings up issues about what relevant businesses can expect in the near and long-haul future, and shopper conduct has been changed irreversibly. An eco-friendly digital environment, proper optimization of online marketing channels, improved digital payment procedures may help sustain the upsurge of the online business sector as a whole. Based on online survey data, this qualitative paper finds out the conditions.
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B. A, Mr Abhale, Miss Bachhav M. K., and Miss Patil Y. P. "Fake Reviews Detection Using Multidimensional Representations with Fine-Grained Aspects Plan." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 2613–18. http://dx.doi.org/10.22214/ijraset.2022.42581.
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Abstract: As the trend to shop online is growing day by day and lot of people are interested in purchasing the products of their need from the online stores. This way of shopping does not take a lot of time of a customer. In this case reviews on online websites play a important role in sales of the product because people try to get all the pros and cons of any product before they buy it. Most of the people needs genuine information about the product while online shopping. Before spending their money on particular product can analyse the various comments in the website. In this scenario, they did not recognize whether it may be fake or genuine. Customer place the order for particular product only by considering the reviews of that product. Here, it might be possible that reviews are fake. Now here query is which are fake reviews? Fake reviews may be good or bad compliment on the products. To detect such type of reviews we have developed the system. In this research, the dataset of different fake reviews provided by Flipkart are considered where reviews sentiments are included and using the LOGISTIC REGRESSION CLASSIFIER the reviews are classified into two categories i.e. fake and genuine. So user can save his/her time only by reading genuine reviews and gives accuracy about the product. Keywords: Fake reviews, review sentiment, logistic regression classifier, detection, feature extraction, web scrapping.
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Tshikovhi, Ndivhuho, Thomas Dobbelstein, and Sibusiso Moyo. "Millennial’s consumer behaviour during the COVID-19 pandemic: perspectives from an emerging and a developed economy." African Journal of Business and Economic Research 17, no. 4 (December 6, 2022): 283–309. http://dx.doi.org/10.31920/1750-4562/2022/v17n4a13.
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One of the impacts of the COVID-19 pandemic was on shopping behaviour patterns due to lockdown restrictions and social distancing requirements. In this study, South African and German millennials (those born between 1980 and 2002) are analyzed to determine their buying behaviour during the COVID-19 pandemic in the year 2020. We demonstrate the choices of purchases amongst millennials between the two countries, that is, South Africa as an emerging and Germany as an advanced economy. This study shows how consumers' choice was influenced by the pandemic before, during, and after the first lockdown. Making use of an online survey (meaning accessing millennials with internet access in both countries), it was found from a data set of 949 millennials in Germany and 676 millennials in South Africa that millennial’s shopping behaviour varied for specific product categories before, during and after the lockdown. As a result, this study concluded by providing recommendations for retailers, policymakers and researchers taking into account a pandemic scenario.
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Sun, Liucheng, Chenwei Weng, Chengfu Huo, Weijun Ren, Guochuan Zhang, and Xin Li. "Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 574–81. http://dx.doi.org/10.1609/aaai.v35i1.16136.
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The e-commercial search engine is the primary gateway for customers to find desired products and engage in online shopping. Besides displaying items to optimize for a single objective (i.e., relevance), ranking items needs to satisfy some other business requirements in practice. Recently, traffic shaping was introduced to incorporate multiple objectives in a constrained optimization framework. However, many practical business requirements can not explicitly represented by linear constraints as in the existing work, and this may limit the scalablity of their framework. This paper presents a unified framework from the aspect of multi-objective welfare maximization where we regard all business requirements as objectives to optimize. Our framework can naturally incorporate a wide range of application-driven requirements. In addition to formulating the problem, we design an online traffic splitting algorithm that allows us to flexibly adjust the priorities of different objectives, and it has rigorous theoretical guarantees over the adversarial scenario. We also run experiments on both synthetic and real-world datasets to validate our algorithms.
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Xue, Jiao Long, Hai Yan Hua, and Yang Yang. "Research on the Effect of Deceptive Promotion’s Characteristics on Spillover Effect to Competing Online Stores." Applied Mechanics and Materials 873 (November 2017): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amm.873.342.
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Deceptive promotions occur frequently on Taobao Mall, Jd Mall and other net-shopping platforms, which not only affecting the focus online store, but also having favorable or adverse impact on other competing online stores, and cause spillover effect. From the perspective of mass and frequency, this paper used the scenario experiment method to explore the effect of deceptive promotion’s characteristics on negative spillover effect to other competing online stores. The study found that the higher the mass of deceptive promotion is, the stronger negative spillover effect of deceptive promotion from the focus online store to competing online stores is, and the higher the frequency of deceptive promotion is, the stronger negative spillover effect of deceptive promotion from the focus online store to competing online stores is. Frequency moderates the effect of mass on negative spillover effect to competing online stores; under the condition of low-frequency, there are not significant differences between high-mass group and low-mass group; under the condition of high-frequency, spillover effect of high-mass group was significantly stronger than that of low-mass group. In practice, this paper explains the effect of the characteristics of deceptive promotions on spillover effect, which provides valuable reference for competing online stores to predict spillover effect of deceptive promotion effectively.
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Wang, Yuhan, Bingqian Wu, Jialin Zhang, and Yuying Zhu. "Douyin Made Me Buy It: Examining the User Impulsive-Buying Response in Live-Streaming Shopping Scenarios from An Emotional Attachment Perspective." BCP Business & Management 38 (March 2, 2023): 3238–49. http://dx.doi.org/10.54691/bcpbm.v38i.4258.
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The explosion of the global disaster and the ongoing e-shopping improvements have fueled China’s fast growth in the live shopping industry. This new business paradigm enables merchants to communicate with consumers in a direct way. The goal of this study, which is based on the SOR theory, is to explore critical variables of consumers’ emotional attachment, along with their influence on consumer impulsive buying response within the live streaming scenario. The link between impulse buying behaviour and emotional attachment, moderated by trust, is also examined. A total of 154 usable surveys with “Oriental Selection” purchasing experience are collected. This research uses correlation analysis, ANOVA, and regression analysis to analyse the data. After empirical investigation, the results confirm that content-based sales approach and attractiveness have a significant impact on users’ emotional attachment, which in turn positively affects impulse buying. However, trust is not significantly related to impulse buying behaviour. The research also demonstrates that trust acts as a moderator in the relation between emotional attachment and online impulsive purchasing. Based on the analysis, managerial implications such as providing consumers with eye-opening experiences and adding more entertainment activities are proposed.
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Thota, Sweta Chaturvedi, and Ritwik Kinra. "Internet and prevalence of relative thinking." Journal of Consumer Marketing 36, no. 5 (August 12, 2019): 600–609. http://dx.doi.org/10.1108/jcm-07-2018-2743.
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Purpose Research demonstrates that individuals display relative thinking – the tendency to consider relative savings rather than just absolute savings in their decisions to search for a deal or purchase an item. This paper aims to review empirical and analytical literature on relative thinking, perceived search costs and price savings to propose and test a conceptual model of relative thinking. Design/methodology/approach Through two studies, the paper tests whether individuals display relative thinking when shopping across stores vs online and how they perceive search and time spent in pursuing savings. Both studies are adaptations of the classic jacket-and-calculator scenario study (Tversky and Kahneman, 1981). Findings Results show attenuation of the robust relative thinking phenomenon over the internet compared to shopping across stores. Individuals exhibit increased price sensitivity for both low and high relative savings conditions on the internet but demonstrate price sensitivity only in the high relative savings condition in the store shopping contexts. Diagnostic measures pertaining to the attractiveness of savings and the perceptions of search costs corroborate the support for relative thinking across stores but not over the internet. Originality/value These results lend weight to the central claim in this paper that the internet marks a new boundary condition for the relative thinking phenomenon in marketing literature. Theoretical and managerial implications of the findings, the limitations of the studies and future research opportunities are discussed.
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Atabay, Orhan, Ned Djilali, and Curran Crawford. "Shared Automated Electric Vehicle Prospects for Low Carbon Road Transportation in British Columbia, Canada." Vehicles 4, no. 1 (February 3, 2022): 102–23. http://dx.doi.org/10.3390/vehicles4010007.
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This study explores the long-term energy use implications of electrification, automation and sharing of road vehicles in British Columbia, Canada. Energy use is first analyzed for the years 1990–2016 for forward forecasting, and hypothetical scenarios ranging from conservative to disruptive, incorporating various effects of road vehicle electrification, sharing and automation, as well as influences of other technology disruptions, such as online shopping and e-learning are presented and used to project the road transportation energy use in B.C. to 2060. Transportation energy use projections are compared to those of the Canadian Energy Regulator (CER). When considering only the effect of vehicle electrification, the scenarios show higher energy savings compared to CER’s scenarios. The combined impact of vehicle electrification and automation leads to decreased energy use to 2060 for all scenarios considered. The energy savings for all scenarios, except for the conservative one, are higher than CER’s projections. When the effects of vehicle electrification, automation and sharing are merged, all scenarios yield energy savings beyond the CER projections. Inclusion of other technology disruptions and the effects of pandemics like COVID-19 reduce transportation demand and provide further energy savings. The BAU scenario given in this study shows energy use decreases compared to 2016 of 26.3%, 49%, 62.24%, 72.1% for the years 2030, 2040, 2050, and 2060 respectively.
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Bellini, Silvia, Maria Grazia Cardinali, and Benedetta Grandi. "Does Shopping Preparation influence Consumer Buying Decisions?" International Business Research 9, no. 10 (September 23, 2016): 201. http://dx.doi.org/10.5539/ibr.v9n10p201.
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<p class="1main-text">Changes in consumers’ environment, specifically the economic crisis and the growing penetration of digital technologies, have produced significant changes in shopping habits, designed to gradually reduced the effectiveness of in-store marketing levers in influencing shopping behaviour. On one hand, due to the global economic downturn and the associated diminished disposable income, more shoppers are now searching more information before entering a store and evaluating more alternatives before to decide where and what to shop. On the other hand, the deep penetration of technological developments, such as digital media and mobile devices, among the population, has opened up new opportunities to influence shopper attitudes and behaviour in the retail environment. A new scenario seems to be opening up where more planning and preparation for shopping is carried out before customers entering the store. In this new environment, to formulate and execute effective shopper marketing strategies, managers need to better understand the complete picture of how online, offline, mobile and in-store marketing influence shoppers in the path-to-purchase-and-beyond cycle. Starting from recent research avenues, our work intends to explore the relationship between pre-shopping behaviour and shopping behaviour in-store, with the aim to understand how pre-trip activities have influenced shopping behaviour in-store. In order to get this purpose, we conducted a survey in three stores belonging to a leading Italian grocery retailer. Shoppers were intercepted in front of the display, when the chosen product was placed in the shopping cart. Through a structured questionnaire, respondents were asked about the nature of the purchase (planned vs unplanned) and the degree of out-of-store preparation (number and type of activity carried out). Data were processed using SPSS statistical software. The degree of grocery shopping preparation is found to influence shopper behaviour inside the store in terms of planned/impulse buying: the higher is the degree of preparation, the greater is the tendency to plan purchases and the lower is the tendency to make impulse purchases. Our findings could suggest retailers and manufacturers new ways to innovate the practice of shopper marketing, considering that marketing levers cannot still affect consumers’ decisions in-store as in the past.</p>