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Theory Development in Information Systems Research Using Structural Equation Modeling: Evaluation and Recommendations

Theory Development in Information Systems Research Using Structural Equation Modeling: Evaluation and Recommendations
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Author(s): Nicholas Roberts (Clemson University, USA)and Varun Grover (Clemson University, USA)
Copyright: 2009
Pages: 18
Source title: Handbook of Research on Contemporary Theoretical Models in Information Systems
Source Author(s)/Editor(s): Yogesh K. Dwivedi (Swansea University, UK), Banita Lal (Nottingham Trent University, UK), Michael D. Williams (Swansea University, UK), Scott L. Schneberger (Principia College, USA)and Michael Wade (York University, Canada)
DOI: 10.4018/978-1-60566-659-4.ch005

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Abstract

Structural equation modeling (SEM) techniques have significant potential for assessing and modifying theoretical models. There have been 171 applications of SEM in IS research, published in major journals, most of which have been after 1994. Despite SEM’s surging popularity in the IS field, it remains a complex tool that is often mechanically used but difficult to effectively apply. The purpose of this study is to review previous applications of SEM in IS research and to recommend guidelines to enhance the use of SEM to facilitate theory development. The authors review and evaluate SEM applications, both component-based (e.g., PLS) and covariance-based (e.g., LISREL), according to prescribed criteria. Areas of improvement are suggested which can assist application of this powerful technique in IS theory development.

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