The diffusion of online shopping: online shoppers and the Computer Competence Index

Author(s):  
Scott M. Smith ◽  
Chad R. Allred ◽  
William R. Swinyard
2012 ◽  
Vol 01 (06) ◽  
pp. 87-96
Author(s):  
Tolon Metehan ◽  
Zengin Asude Yasemin

Firms’ primary objectives are gaining profit and providing continuity. During the recent years virtual platforms are the most popular and strategic way to achieve these objectives. According to this, firms try find different markets to improve their market share as well as their profits. From this point of view increase in sales at virtual platform depends on customers’ trust upon total online system in the related market. In order to create customer loyalty at virtual platform, firms must build trust between firm and customer. For this purpose, it is of strategic importance for e-commerce to create trust among their customers. At this point, firms have to determine trust and perceived risk related to online shopping. Especially firms which want to operate in internet have to analyze trust dimensions and risk perceptions of customers in related online shopping. In this study, the effect of the trust and perceived risk of Turkish customers over online purchase behavior/online shopping has been presented empirically.


2019 ◽  
Vol 11 (10) ◽  
pp. 39
Author(s):  
Jean D. Gumirakiza ◽  
Mara E. Schroering

Online shopping is changing ways in which offline markets operate. As the online shopping for fresh produce takes off, it is important to investigate its effects on existing physical market outlets. The main objective for this study is to explain how often online shoppers attend farmers’ markets. The study uses data that was collected in 2016 from a sample of 1,205 consumers residing in the south region of the United States who made at least two online purchases within six months prior to participating in this study. This study employed a multinomial Logit model and Stata was used to run the regression. Results show that the majority of these online shoppers never attended a farmers’ market. The relative probabilities for the online shoppers to “never” attend farmers’ markets, attend “occasionally”, and “frequently” are 0.54, 0.28, and 0.18 respectively. We found that the lack of awareness, inconvenient place and/or time, and low interests are major reasons for nonattendance. This study suggests that farmers’ markets could greatly benefit by developing marketing strategies targeting online shoppers.


2019 ◽  
Vol 4 (1) ◽  
pp. 13
Author(s):  
Yeshika Alversia ◽  
Rizky Wijayanti

<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>


2018 ◽  
Vol 10 (12) ◽  
pp. 15
Author(s):  
Jean D. Gumirakiza ◽  
Taylor Choate

This study applies a Censored Normal Tobit Model on the 2016 survey data from 1,205 online shoppers in the South region of the United States to explain their Willingness To Pay (WTP) for a bundle of fresh produce from different origins. This study indicates that online shoppers are willing to pay $6.91, $6.38, and $5.22 for four pounds of bundled fresh produce that are locally, domestically grown, and imported respectively. We found that income category, interests in online shopping, interest level for local, interest level for organic, and monthly spending on fresh produce have a significant positive impact on the WTP for locally grown fresh produce. Results indicate that being married, high income, interests in online shopping, interests in local produce, interests in organic, and the monthly spending on fresh produce increase the WTP for domestically grown fresh produce, while age and being a female diminishes it. We further found that age, being a female, and interest in the freshness of the produce decrease the WTP for imported produce. Based on the findings from this study, we have suggested a couple of marketing implications and suggestions.


2018 ◽  
Author(s):  
Shiau Wei Chan ◽  
M. F. Ahmad ◽  
Izzuddin Zaman ◽  
Siti Sarah Omar ◽  
Rohaizan Ramlan ◽  
...  

2018 ◽  
pp. 1303-1327
Author(s):  
Ángel F. Agudo-Peregrina ◽  
Julián Chaparro-Peláez ◽  
Ángel Hernández-García

The purpose of this chapter is to offer a better understanding of online shoppers' behaviour, so that virtual shops may improve and adapt their product offering to effectively reach their target segments. In order to achieve this goal, a characterization of motivations to shop online is proposed as a basis for motivation-based customer segmentation. Building upon this segmentation, acceptance models—namely, an adaptation of UTAUT2 to e-commerce—have been used to look further into the purchasing behavior of each identified segment. The results from the empirical study based on responses to an online questionnaire from a sample of 718 Spanish shoppers shows seven different groups of motivations and five different customer segments, and confirms different behavioral patterns in the adoption of e-commerce for different segments of customers, with special influence of effort expectancy, facilitating conditions, and perceived risk in the online shopping behaviour of individuals.


Author(s):  
Chand Prakash Saini

The purpose of this article is to identify and study various risks that stop potential online shoppers to shop online. A total of 268 potential online shoppers were personally surveyed with a structured questionnaire. These respondents were from Gurgaon city. Exploratory factor analysis and regression analysis were used to assess the potential consumers' risk perception towards online retailing. It was found that potential online shoppers considered product risk, privacy risk, time risk, social risk, and security risk to be important while thinking of online shopping. Among all these risks security risks were found to be on potential online buyers' minds followed by product risk, social risk, privacy risk, and time risk. Online shopping behavior was the dependent variable in the study.


Author(s):  
Tuğçe Ozansoy Çadırcı ◽  
Şirin Gizem Köse

Perceived shopping value is an essential factor that affects the purchase decisions of consumers (Babin, Darden & Griffin, 1994). Former research has proved that experiential value associated with shopping activities helps retailers to create sustainable relationships with their consumers (Mathwick, Malhotra & Rigdon, 2001). Therefore, many retailers are seeking for interactive applications that facilitate the online shopping experience. Applications like Augmented Reality (AR) which provides a direct product experience for online shoppers can be a valuable tool for online fashion retailers. This paper aims to provide insights about AR applications' probable experiential value in online fashion retailing. As a result, a conceptualization of AR's experiential value is proposed with hedonic and utilitarian value perspectives combined with assumed benefit and risks of online shopping that can be eliminated with the use of AR technology.


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.


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