Searching for Alternatives: Does Your Disposition Matter?

Searching for Alternatives: Does Your Disposition Matter?

John R. Drake (Department of Management Information Systems, College of Business, East Carolina University, Greenville, NC, USA) and Terry Anthony Byrd (Department of Aviation and Supply Chain Management, College of Business, Auburn University, Auburn, AL, USA)
Copyright: © 2013 |Pages: 19
DOI: 10.4018/jthi.2013010102
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In the decision-making process, vast quantities of information is often parsed into a manageable set of top choices in order to meaningful select the best option. But what individual traits and dispositions impact this process? In this exploratory research effort, the authors address three such dispositions and their impact on selecting alternatives for a decision. Conducting two surveys for two different contexts, they find that motivational dispositions do have some impact on product searches, but may have minimal impact on information searches. The authors conclude that context has a major impact on the decision-making process and that technology/disposition fit may be a useful concept to guide the design of search technologies.
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Literature Review

This research builds on the vast tradition of human-computer interaction. Within the framework of Zhang and Li’s human-computer interaction model (Zhang & Li, 2005), this research explores elements from all five components of the interaction model (Figure 1). At the center of the model, individuals use the system by selecting alternative solutions to a problem. Interacting with system usage are four components; the technology, human factors, the task, and the context. For the technology, we were interested in search technologies. The human factors includes three motivational dispositions that show promise for impacting the selection of alternatives - self-regulatory focus, regulatory reference, and trusting disposition. Two tasks were observed in two related contexts; 1) searching for a product on an online auction marketplace and 2) searching for information on an apartment rating website. We explore these components in Figure 1.

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