Fashion consumers’ channel-hopping profiles by psychographics and demographics

2019 ◽  
Vol 62 (5) ◽  
pp. 615-632
Author(s):  
Stacy H Lee ◽  
Sojin Jung

Omni-channel retailing has created different shopping paradigms, such as channel hopping, to meet diverse consumer expectations through various channels. Based on the consumer decision-making model, this study explored the typology of consumer groups based on consumers’ channel usage during the entire shopping trip and how each group differs in terms of shopping values, shopping behaviors, perceived benefits, and risks. Using a total of 264 US nationwide consumer responses, we identified four consumer groups that have distinctive channel-hopping patterns; hyperconnected shoppers, traditional shoppers, web shoppers, and webroomers. Our findings revealed unique shopping values and shopping behaviors in each of these categories, as well as perceived risks and benefits among the four groups. This study’s results can serve as empirical evidence to provide better insights to help retailers develop successful omni-channel strategies and also contribute to the omni-channel retailing literature.

2020 ◽  
pp. 1-21
Author(s):  
Ethan Porter

This chapter blends insights from political science, behavioral economics, history and psychology to lay out the theoretical proposition of the book. The consumer citizen approach has implications for attitudes toward government and government spending, levels of political knowledge, and even whether people sign up for government-sponsored health insurance. Empirical evidence about the incidence of consumer and political decisions is offered. The comparative ubiquity of consumer decisions, I argue, explains why consumer decision-making tools come to be used in political contexts. Ultimately, viewing citizens as consumer citizens means viewing their political behaviors and attitudes as they are, not as some might wish them to be.


2021 ◽  
Vol 11 (4) ◽  
pp. 41-62
Author(s):  
Syed Afzal Moshadi Shah ◽  
Muhammad Shujjah-Ul-Islam Jadoon ◽  
Muhammad Tahir ◽  
Jamil Anwar

This paper empirically examines the trust-based consumer decision-making model in the context of a collectivist country (i.e., Pakistan). The target population of the study was the general retail consumers recruited through online survey. A total of 396 valid responses were analyzed using structural equation modeling in Smart PLS. The study reports average variance extracted, composite reliability, Cronbach alpha, and path coefficients. The results confirm that trust and benefits are positively associated with purchase intention while perceived risk is negatively associated with consumer trust. The study also reports some unique findings like information quality is found positively associated with both trust and perceived risk. Also perceived privacy protection is found negatively associated with trust and positively with risk. The study lays down a foundation for subsequent studies to further explore the phenomena. The study is the first of its kind that has examined this model in Pakistan and proposes some useful theoretical, practical, and policy-making implications.


2008 ◽  
Vol 13 (1) ◽  
pp. 3-19 ◽  
Author(s):  
Fuschia M. Sirois ◽  
Rebecca J. Purc-Stephenson

Guided by the conceptual framework of the consumer decision-making model, the present study compared the factors associated with initial and long-term use of complementary and alternative medicine (CAM) providers. A survey was completed by 239 people recruited from the offices of physicians and CAM practitioners. Conventional medicine clients ( n = 54), new or infrequent clients ( n = 73), and established CAM clients ( n = 112) were compared to identify the decision factors for initial and long-term CAM use. Consistent with the components of this model, we found support for the roles of external influences (age, social recommendations), decision process factors (symptom severity, egalitarian provider preference), and post-decision factors (dissatisfaction with conventional care) depending on whether the pattern of CAM use was new or infrequent or established. Overall, this study provides preliminary support for the utility of the consumer decision-making model as an integrative framework for understanding the roles of correlates of CAM use.


2018 ◽  
pp. 107-130
Author(s):  
Weijun Zheng ◽  
Leigh Jin

The objective of this paper is to understand the importance of mobile reputation systems in mobile users' app discovery and purchase satisfaction. A theoretical framework describing the mediating effects of reputation systems on mobile app users' purchase satisfaction is developed and empirically tested with mobile app users. The findings of this study suggest that mobile reputation systems embedded in application stores play important mediating roles in mobile app purchase decision-making process and ultimately purchase satisfaction.


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