Online shopping during the Covid-19 crisis: the impact of anthropomorphic virtual agents on consumers' psychological states

2022 ◽  
Vol 16 (1/2) ◽  
pp. 1
Author(s):  
Sihem Ben Saad ◽  
Fatma Choura
2021 ◽  
Vol 13 (18) ◽  
pp. 10221
Author(s):  
Sufyan Habib ◽  
Nawaf N. Hamadneh

E-commerce industry has witnessed a phenomenal growth globally due to the sudden spread of the COVID-19 pandemic and the advancement of mobile Internet technology, with fast adaption of online shopping technologies by the customers. Previously, online shopping was only available in a few product categories and to a select group of consumers. The COVID-19 guidelines related to safety, physical distancing, closure, lockdown, and other restrictions have insisted that consumers shop online. Because of e-commerce growth, the grocery (FMCG) industry is also equipped with advanced technologies such as the Internet of Things (IoT), cloud computing, and block chain technology. This paper analyzes the UTAUT2 model and its influence on perceived risk and consumer trust in online purchase intention of grocery categories of products among Indian customers. We tried to analyze the growth potential of new technologies in grocery retail and formulated the hypotheses. The results showed that the spread of COVID-19 pandemic had a significant influence on the online shopping behavior of Indian customers. The outcome of the study partly assists businesses in understanding the impact of the factors of consumer adaption of technology, perceived risk associated with online transaction, consumer trust in online technologies and consumer online purchase intention of grocery products. To promote e-commerce in India, the current study suggests that marketers should try to develop consumer trust and lowering the perceived risk associated with online shopping. Some management implications and future area of study based on empirical findings are also highlighted in the present research work.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

Online review is a crucial display content of many online shopping platforms and an essential source of product information for consumers. Low-quality reviews often cause inconvenience to the platform and review readers. This article aims to help Steam, one of the largest digital distribution platforms, predict the review helpfulness and funniness. Via Python, 480,000 game reviews related data for 20 games were captured for analysis. This article analyzed the impact of three categories of influencing factors on the usefulness and funniness of game reviews, which are characteristics of review, reviewer and game. Additionally, by using the Random Forest-based classifier, the usefulness of reviews could be accurately predicted, while for funniness, Gradient Boosting Decision Tree was the better choice. This article applied research on the usefulness of reviews to game products and proposed research on the funniness of reviews.


2021 ◽  
Vol 15 (3) ◽  
pp. 350-356
Author(s):  
Helena Štimac ◽  
Ivan Kelić ◽  
Karla Bilandžić

The behavior of e-customers is quite unpredictable, which raises additional questions about this topic. The purpose of the paper is to conduct research on e-customers, understand the impact of marketing actions on e-customer behavior and understand the unpredictability of e-customers. Research was conducted on the Mlinar web shop that sells cakes. 284 respondents/buyers had the opportunity to solve questionnaires about behavior after purchase and consumption of product. Different methods have been used in the analysis - descriptive statistics, multivariate analysis (reliability analysis, correlation analysis and linear regression) and analysis of variance (ANOVA). The results showed that most examinees were satisfied with online shopping on the Mlinar web shop and that they are impulsive when online shopping. Saving time is the main reason to buy on a web shop. Research proved that variables such as firm reputation/perceived value, e-satisfaction and online services positively affect the creation of e-loyalty in their users.


2020 ◽  
Vol 12 (4) ◽  
pp. 143-160
Author(s):  
Veronika Svatosova

In this article a total of fifteen determinants of online shopping behavior have been identified that could have an impact on the strategic management process in e-commerce competitiveness. The main objective of the paper is to evaluate the impact of determinants of online shopping behavior on the strategic management process in e-commerce. The main research methods used in the research are as follows: analysis of secondary data, a questionnaire survey among a selected group of e-commerce companies, a critical analysis and a quality comparison of the actually applied determinants of online shopping behavior. The verification of hypotheses is realized using selected methods of statistical induction and descriptive statistics. In summary, the research has shown there is no relationship between evaluating the quality of determinants companies in e-commerce and evaluating the importance of determinants of online shopping behavior. Determinants have an important impact in the process of creating and realizing an e-commerce strategy, with all e-commerce companies regardless of their size being aware of their practical impact and importance. It can be concluded the importance and quality of determinants of online shopping behavior correspond to the type of strategy and strategic management process in terms of e-commerce competitiveness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Espírito Santo ◽  
Alzira Maria Ascensão Marques

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.


2013 ◽  
Vol 5 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Tonjia S. Coverdale ◽  
Anthony D. Wilbon

The objective of this study is to propose and test the Social Identity Approach to Website Design research model, which considers the role of Social Identity in the development of e-Loyalty. Using an online survey instrument comprised of existing Information Systems and Social Identity measures, data were collected from 322 women online shoppers who were members of the salient ingroup. The results of this study indicate that, in women online shoppers, the perception of social presence in an online retail store positively influences their enjoyment of the online shopping experience. The results also suggest that women online shoppers’ enjoyment of an online shopping experience positively influences their intention to revisit the website or recommend the website to other online shoppers, which are e-Loyal behaviors. In addition, this study extends related studies by proposing and testing the psychographic nature of human-computer interaction as a possible catalyst for e-Commerce Success.


2020 ◽  
Vol 16 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Larry Sau Kei Leung

The importance of positive word of mouth (WOM) and repurchasing in competitive online retail environments demands their further study. Although customer satisfaction has been found to drive positive WOM and repurchasing, limited research has explored what type of customers feel more satisfied with online shopping. It was anticipated that the convenient nature of online shopping would better match the conscientious personality traits of customers with earlier sleep and wake times. Data collected from 334 Indian college students participating in this study using a snowball sampling method were analysed by multiple regression. As hypothesised, based on self-congruency theory, customers with earlier sleep and wake times were found to feel more satisfied with online shopping, which in turn enhanced their positive WOM and increased repurchase intention. Theoretical and managerial implications are discussed.


2018 ◽  
Vol 8 (3) ◽  
pp. 36-51
Author(s):  
R.Rajendra Kumar

This research article analyzed the impact of Consumer factors like privacy, security, time saving and convenience and its impact on the attitude of consumers of online shopping. Further, the difference between the variables such as frequency of online shopping, time spent for shopping online, products often purchased during online shopping, value of money spent during shopping, mode of payment preferred and the consumer factors were also identified to ascertain the actual relationship. The research has focused on the student's community as the data set and their views on online shopping were collected through Questionnaire.


2019 ◽  
Vol 11 (20) ◽  
pp. 5626 ◽  
Author(s):  
Choi ◽  
Chung ◽  
Young

This study examines the impact of the quality of online shopping logistics services on customer satisfaction and in driving subsequent repeat purchasing behavior. Five hypotheses are established to represent the relationships between customer satisfaction and each factor of logistics services: quality of information, quality of order, quality of delivery, price of delivery, and customer service. The research includes surveys conducted over two months from 1 December, 2016, to 31 January, 2017, targeting mostly young Chinese customers with experience purchasing products online, thus representing e-commerce. A questionnaire was distributed to each subject in a sample of 150 Chinese customers with online shopping experience. The empirical analysis indicates that logistics service quality, and primarily the quality of delivery, has a statistically significant impact on customer satisfaction, which, in turn, has a statistically significant impact on repeat purchasing behavior. The results provide insight into the strategy behind China’s rapidly growing online shopping industry, which focuses on maintaining stability through long-term customer relationship management.


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