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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Collection Methodologies for Web-Based Experiments

Data Collection Methodologies for Web-Based Experiments
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Author(s): Stu Westin (University of Rhode Island, USA)
Copyright: 2005
Pages: 5
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch119

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Abstract

Experimental studies involving the use of the World Wide Web (WWW) are becoming increasingly common in disciplines such as management information systems (MIS), marketing, and e-commerce. The focus of these studies is varied and may involve issues of human factors and interface design (Otto et al., 2000; Koufaris, 2002; Liang & Lai, 2002; Palmer, 2002), issues of information processing and search strategies (Spence, 1999; Johnson et al., 2000; Xia & Sudharshan, 2000; Chiang et al., 2004), issues of vendor trustworthiness (Grazioli & Jarvenpaa, 2000; Jarvenpaa et al., 2000; Norberg, 2003), or a myriad of other topics. Regardless of the issue being studied, data collection for online Web research often proves to be a vexing problem, and ideal research designs are frequently sacrificed in the interest of finding a reasonable data capture mechanism. In this article, we discuss some of the methodological complexities that arise when conducting Web-based experiments. We then describe an innovative, software-based methodology that addresses these problems.

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