scholarly journals Influence of time pressure on the purchase decision making process in apparel shopping

2013 ◽  
Vol 21 (1) ◽  
pp. 117-128
Author(s):  
Ji-Young Moon ◽  
Kyu-Hye Lee
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srabanti Mukherjee ◽  
Swagato Chatterjee

PurposeThe purpose of this research is to propose and validate a theoretical framework explaining web-rooming and showrooming as a multi-stage decision-making process. The authors have used consumer purchase decision-making theories to propose a model that identifies showrooming and webrooming as a combination of two decisions, channel choice during information search and channel choice during actual purchase. Further, the authors explored how various antecedents of showrooming and webrooming have differential effects on various stages of a purchase decision-making process and how product type moderates the relationships.Design/methodology/approachThe authors have conducted empirical research, whereby 243 responses were obtained from a cross-sectional survey. The authors have used structural equation modeling and multiple regression analysis to validate our theoretical model.FindingsWebrooming or showrooming is a multi-stage decision-making process for the consumers. First, consumers decide whether to search online or offline and then whether to buy online and offline. Different individual, purchase context-related and channel related factors impact these decisions. Product type governs which variables will be more important than others.Originality/valueThe research looks to enhance the understanding of the consumer's decision-making process during showrooming and webrooming while also helping retailers design and implement appropriate strategies that could affect consumers during information search and actual purchase.


2021 ◽  
Vol 8 (1) ◽  
pp. 43-52
Author(s):  
Rina Yuliana ◽  
Joko Sutrisno ◽  
Tria Rosana Dewi

Based on the results of the research and analysis that has been carried out, it can be seen first that consumer involvement in the tea purchase decision-making process in the Modern Market of Surakarta is high (31,56 > 24). Second, according to consumers in the Surakarta City Modern Market, the difference between tea brands is not real, meaning that consumers do not see much difference between tea brands. Third, the type of tea consumer behavior in modern markets is dissonance, reducing buying behavior. Usually, consumer behavior is meaningful and goal-oriented. Products are accepted or rejected based on the extent to which both are considered relevant to their needs and lifestyle.


PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243661
Author(s):  
Giuseppe M. Ferro ◽  
Didier Sornette

Humans are notoriously bad at understanding probabilities, exhibiting a host of biases and distortions that are context dependent. This has serious consequences on how we assess risks and make decisions. Several theories have been developed to replace the normative rational expectation theory at the foundation of economics. These approaches essentially assume that (subjective) probabilities weight multiplicatively the utilities of the alternatives offered to the decision maker, although evidence suggest that probability weights and utilities are often not separable in the mind of the decision maker. In this context, we introduce a simple and efficient framework on how to describe the inherently probabilistic human decision-making process, based on a representation of the deliberation activity leading to a choice through stochastic processes, the simplest of which is a random walk. Our model leads naturally to the hypothesis that probabilities and utilities are entangled dual characteristics of the real human decision making process. It predicts the famous fourfold pattern of risk preferences. Through the analysis of choice probabilities, it is possible to identify two previously postulated features of prospect theory: the inverse S-shaped subjective probability as a function of the objective probability and risk-seeking behavior in the loss domain. It also predicts observed violations of stochastic dominance, while it does not when the dominance is “evident”. Extending the model to account for human finite deliberation time and the effect of time pressure on choice, it provides other sound predictions: inverse relation between choice probability and response time, preference reversal with time pressure, and an inverse double-S-shaped probability weighting function. Our theory, which offers many more predictions for future tests, has strong implications for psychology, economics and artificial intelligence.


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