The novel COVID-19 pandemic has caused upheaval around the world and has led to drastic changes in our daily routines. Long-established routines such as commuting to workplace and in-store shopping ...are being replaced by telecommuting and online shopping. Many of these shifts were already underway for a long time, but the pandemic has accelerated them remarkably. This research is an effort to investigate how and to what extent people's mobility-styles and habitual travel behaviors have changed during the COVID-19 pandemic and to explore whether these changes will persist afterward or will bounce back to the pre-pandemic situation. To do so, a stated preference-revealed preference (SP-RP) survey is designed and implemented in the Chicago metropolitan area. The survey incorporates a comprehensive set of questions associated with individuals' travel behaviors, habits, and perceptions before and during the pandemic, as well as their expectations about the future. Analysis of the collected data reveals significant changes in various aspects of people's travel behavior. We also provide several insights for policymakers to be able to proactively plan for more equitable, sustainable, and resilient cities.
•We investigate how people's travel behavior has changed during the COVID-19 pandemic.•It is explored whether such changes will persist afterward or bounce back to the pre-pandemic situation.•A comprehensive stated preference-revealed preference survey in the Chicago region is implemented.•Our survey findings revealed significant changes in people's mobility-styles and habitual travel behaviors.
Online companies, such as eBay and Taobao, often set limits on the maximum number of items placed in the shopping cart. When the number of items added exceeds the limit, a warning message would pop ...up, asking consumers to clean, remove, or purchase first. Extant research on online shopping cart abandonment examines the various factors that can lead to shopping cart abandonment but does not explore the effect of such warning messages on attitudes and purchase intention. Through five studies (i.e., Studies 1, 2A, 2B, 3, and 4), we show that reminding consumers to clean items in their online shopping carts can polarize liking and purchase intention towards the most-favorite and least-favorite items. Furthermore, we find that reminding consumers to remove items (rather than to purchase them) magnifies the polarization. Consumers’ anticipated regret mediates the interactive effect of warning message type and preference ranking on liking and purchase intention. In addition, the scarcity or abundance of product supply moderates the interaction effect of shopping cart warning message type and preference ranking on liking and purchase intention. Implications for both theories and practices are discussed.
Offline social interactions and online shopping each have been studied extensively. Despite the importance of each construct, little is known about the effects of offline social interactions on ...online shopping. This study examines three research questions: (1) how offline social interactions affect online shopping in general, (2) how active and passive offline social interactions exert different influences on online shopping, and (3) how online shopping preferences moderate the influences from the two types of offline social interactions. Our empirical analyses provide three substantive findings. First, overall offline social interactions have a positive impact on online shopping demand. Second, while active offline social interactions have a positive informational influence on online shopping demand, passive offline social interactions have a negative normative influence on it. Third, online shopping preferences weaken both the positive informational and negative normative influences from both of offline social interactions. We also discuss theoretical and managerial implications.
The study focuses on the effect of four primary characteristics derived from the literature, including trust, product variety, convenience, and privacy, so as to identify how customer purchasing ...behavior reflects online shopping trends. The researcher used quantitative research approach to documents responses of respondents. Students attending Thal university & Sargodha university are mostly those engaged in business programme at respective institutions, such as the Department of Business Administration and Noon Business school was accessed to collect the data through questioner. The researchers use structural equational model to test hypothesis of current research, analyze the results and reach the desired conclusion and thus recommending some suggestions. According to the findings of statistical analysis of data, customers trust, product variety, convenience and privacy has statistically significant relationship with the online consumer behaviour. This conclusion is vital for the marketers to facilitate the usage of online shopping platforms in order to save more time and attract more people to buy items online.
Purpose
– The purpose of this paper is to investigate the effects of online shopping experience and habit in relation to adjusted expectations for enhancing online repurchase intention.
...Design/methodology/approach
– The authors employed partial least square (PLS) as a technique used to analyze the measurement and structural models. Data for this research were collected from 240 Taiwanese online shoppers who had experienced online shopping at least four times.
Findings
– The result of this study indicates that online shopping habit acts as a moderator of both customer satisfaction and adjusted expectations, whereas online shopping experience can be considered a key driver for customer satisfaction. Furthermore, the research findings confirm that customer satisfaction is a vital driver of adjusted expectations and online repurchase intention. Adjusted expectations do mediate the impact of online repurchase intention.
Research limitations/implications
– This paper highlights the effect of online shopping experience and online shopping habit on enhancing repurchase intention. The result implies that the acquisition of usage experience and spontaneous purchases not only leads to higher customer satisfaction and customer expectations, but also strengthens online repurchase intention. The use of self-report scales suggests the possibility of a common method bias. Future studies may further test the robustness of this study in the interplay of experience and habit to shed more light on their relative importance in explaining online repurchase intention.
Originality/value
– This study extends expectancy-disconfirmation paradigm, especially in the context of online shopping, by emphasizing cognitive, affective, and behavioral change on the attitude-intention behavior of online shoppers.
In this study, a three-step methodology is proposed. To begin with, a total of seven main criteria and 23 sub-criteria that affect the selection of online shopping websites are determined by ...searching the literature and interviewing people. Next, a questionnaire is applied to the people from Turkey and Croatia. It is evaluated using AHP methodology to find the main and sub-criteria weights from the perspective of Turkish and Croatian people. Furthermore, a second questionnaire for ranking three popular online shopping websites in Turkey has been applied. Finally, online shopping websites are ranked as B, A, and C based on the scores obtained from the second questionnaire and criteria weights found in the second step. After estimating the decision weights of the sample from Croatia, we use that as a “what if” analysis for websites A, B, and C. Customers’ shopping behaviors from those online shopping websites are analyzed using SPSS.
The COVID-19 pandemic has created a new reality for consumers all around the globe. To cope, users of digital technologies have faced the necessity of adopting and using specific technologies ...practically overnight. They are doing this under the condition of social isolation, all while facing the fear of catching the disease. The purpose of the paper is to study the way unexpected circumstances cause disruptions in existing theoretical models and their implications for the post-COVID-19 era. Therefore, the paper examines the unified theory of acceptance and use of technology (UTAUT) model under the circumstances of the COVID-19 pandemic and social isolation, and it identifies herd behavior as a possible new mechanism affecting behavioral intention under these unique decision-making circumstances. Behavioral intention toward online shopping was analyzed using data from 420 individuals aged 60 and older who present an increasingly important potential market for electronic commerce and who are particularly affected by COVID-19. The main results show that performance expectancy still has the most important influence on behavioral intention, whereas the impact of social influence was not supported under these conditions. Rather, herd behavior was identified as particularly influential for behavioral intention. Based on the study results, the option to reconsider the social influence factor in the UTAUT model and its possible complementary mechanisms are discussed.
•Online shopping adoption among older adults during the pandemic was reviewed.•Social influence does not have a major role in behavioral intention to adopt online shopping.•Contrary to our expectations, COVID-19 fear does not influence behavioral intention to adopt online shopping.•Herd behavior importantly influences behavioral intention in the pandemic situation.•Complementary mechanisms to social influence in UTAUT are discussed.
This research contributes to broadening understanding of online retailing across electronic channels (e-channels, e.g., mobile devices) and e-channel touchpoints (e.g., mobile shopping apps) from a ...consumer perspective. Based on the multichannel retailing approach and theoretical considerations, the authors suggest an enhanced perspective on the online retailing environment and validate this multichannel e-commerce perspective by conducting both an online survey (N = 502) and an experimental study (N = 126). The results indicate that online retailing can be classified into four e-commerce categories that entail individual e-channel touchpoints, emphasizing the need for a more differentiated consideration of “the online channel.” This work advances marketing research and practice by illustrating that both technology-related quality and context-related situational benefit affect consumers' utilization of e-channels. Further findings show that retailers can enhance consumers' shopping experiences by providing alternative e-channel touchpoints (i.e., specific digital shopping formats) that contribute differently to the online customer journey.
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•A framework for the multichannel e-commerce environment•Identification of four categories of e-channels (E-, M-, IETV- and C-Commerce)•Approach to capture the online customer journey across retailer-owned touchpoints•E-channel evaluation is based on perceived quality and situational benefit.•Satisfy heterogeneous needs by designing and combining e-channel touchpoints
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