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Information Seeking Stopping Behavior in Online Scenarios

The Impact of Task, Technology and Individual Characteristics

Series:

Erik Hemmer

The growing amount of information provided via web-based information technologies forces the users of these technologies to stop seeking for information before having acquired all available information. This stopping decision is either made actively following clear guidelines or subconsciously based on the seeker’s intuition. This book analyzes the aforementioned duality by developing and testing a multi-theoretical research model dealing with information seeking stopping behavior in online scenarios. Thus, by delivering insights into the mechanisms that influence information seeking activities, this study does not only advance theory building in the Information Systems discipline and adjacent fields but is also highly relevant for practitioners and developers of information technology.

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1. Introduction

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1.1. Problem Statem ent For more than 150 years, numerous technological advances and disruptive inno­ vations have been changing the way how people work, communicate and influence modern societies (Danneels, 2004; DeSanctis and Poole, 1994). Today, the en­ tity information is a major production factor, hence forcing organizations to act as efficient and effective information processors in order to be able to compete in increasingly globalized markets (Capurro and Hjorland, 2003; Choudhury and Sampler, 1997; Kohli and Grover, 2008; McKinney Jr. and Yoos II, 2010; Mendel- son and Pillai, 1998). On an individual level, the Internet has a strong impact on the behavior people exert when interacting with information as they now have access to a literally unlimited amount of information considering their restricted cognitive capacities (Browne et al., 2007; Simon, 1982). From an evolutionary perspective, however, a period of about twenty years in which the Internet gained its popularity is too short for sustainably influencing behavioral patterns that were learned and shaped before today’s modern infor­ mation technology was developed (Kock, 2004, 2009). Therefore, it is essential for Information Systems (IS) developers, managers and users to have a clear un­ derstanding of how individuals acquire, process and make use of information they receive from technological artifacts (Wilson, 1999). Several studies have shown that by taking the specific characteristics of human computer-based information behavior into account, information needs can be fulfilled more accurately result­ ing in higher task performance and user satisfaction (Hong et al., 2004a; Rafaeli and Ravid, 2003;...

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