The Experts below are selected from a list of 41058 Experts worldwide ranked by ideXlab platform
Deborah Breiter - One of the best experts on this subject based on the ideXlab platform.
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tourist Purchase Decision involvement and information preferences
Journal of Vacation Marketing, 2004Co-Authors: Ruomei Feng, Deborah BreiterAbstract:This study examines the relationships between tourists’ Purchase Decision involvement and their information search behaviours. The behaviours include their information preferences as measured by pe...
Christopher P. Holland - One of the best experts on this subject based on the ideXlab platform.
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the effect of prior knowledge and Decision making style on the online Purchase Decision making process
Decision Support Systems, 2015Co-Authors: Sahar Karimi, Nadia K Papamichail, Christopher P. HollandAbstract:This paper provides an empirical typology of online Decision-making purchasing behaviour. The study explores how the online Purchase process is affected by individual Decision-making style and knowledge of product. Drawing from the Decision analysis and consumer behaviour literatures, we present a typology of online Purchase Decision-making behaviour and introduce four archetypes of online consumers. A number of experiments have been conducted in two online settings: retail banking and mobile networks. Based on an extensive video analysis, we have captured four process-related dimensions (number of cycles, duration, number of alternatives and number of criteria) using a business process modelling approach. Significant differences in all process-related dimensions were found across the four archetypes. The study improves understanding of the different types of online consumers and their process outcomes. The findings are useful for online retailers seeking to improve the way they support the four archetypes of online shoppers throughout the Decision-making purchasing process. A new typology of online Purchase Decision-making behaviour based on Decision-making style and knowledge of productA process modelling method for analysing and codifying online consumer behaviour using video dataMaximisers?with a low level of knowledge of product and satisficers with a high level of knowledge have disparate behaviourMaximisers?and consumers with a low level of knowledge of product engage in more intensive Decision making processes
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EWG-DSS - Purchase Decision Processes in the Internet Age
Decision Support Systems III - Impact of Decision Support Systems for Global Environments, 2014Co-Authors: Sahar Karimi, K. Nadia Papamichail, Christopher P. HollandAbstract:This work explores the online Purchase Decision-making behaviour of consumers. It investigates how Purchase Decision-making processes unfold and how they vary for different groups of individuals. Drawing from the Decision analysis and consumer behaviour literatures, a typology of online consumers is introduced to define four distinctive groups based on two individual characteristics: Decision making style and knowledge of product. Video recordings and interviews of 55 participants have been conducted in two online settings (retail banking and mobile networks) in order to capture the Purchase Decision-making process. The archetypal behaviour of each typology is identified. Our results show variations in the flow of the Decision-making process and process outcome for different groups.
Jikyeong Kang - One of the best experts on this subject based on the ideXlab platform.
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the effects of ethnicity and product on Purchase Decision making
Journal of Advertising Research, 2001Co-Authors: Jikyeong KangAbstract:In this paper the authors investigate how ethnic consumers differ in their Purchase Decision making. They report on a study that examined the key Decision influences (media authority, reference groups, and store image) for the three main ethnic consumer groups in the United States (blacks, Hispanics and whites), for the Purchase of social clothes (an expressive buy) and small electronics (a functional buy). They conclude that the different groups display distinctly different Decision patterns, and that advertisers should craft advertising strategies for particular ethnic groups for specific types of product.
Ruomei Feng - One of the best experts on this subject based on the ideXlab platform.
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tourist Purchase Decision involvement and information preferences
Journal of Vacation Marketing, 2004Co-Authors: Ruomei Feng, Deborah BreiterAbstract:This study examines the relationships between tourists’ Purchase Decision involvement and their information search behaviours. The behaviours include their information preferences as measured by pe...
Bin Wang - One of the best experts on this subject based on the ideXlab platform.
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customers Purchase Decision making process in social commerce a social learning perspective
International Journal of Information Management, 2017Co-Authors: Aihui Chen, Yaobin Lu, Bin WangAbstract:Abstract The proliferation of social commerce has changed customers’ Purchase Decision-making process. However, few studies have investigated the roles of social commerce factors on customers’ Purchase Decision-making. Based on the social learning theory, we develop a research model to examine how customers’ learning behavior along three main social commerce components (SCCs) affects customers’ attitude in both cognitive and affective dimensions and how such attitude determines customers’ Purchase intention. The results from a survey of 243 actual users of social commerce websites suggest that cognitive and affective appraisals are the main predictors of Purchase intention, with cognitive appraisal having a higher predictive power than affective appraisal. In addition, learning from forums and communities and learning from ratings and reviews have significant influences on both cognitive and affective appraisals, while learning from forums and communities plays a more important role in formulating affective appraisal and learning from ratings and reviews plays a more important role in determining cognitive appraisal. Contrary to our expectation, learning from social recommendations has no significant influence on either cognitive or affective appraisal. In summary, these findings provide a comprehensive understanding about customers’ Purchase Decision-making process and extend the application scope of social learning theory. The findings also provide social commerce managers guidance in designing more effective websites and allocating resources and efforts reasonably on different SCCs.
