Theory Development in Information Systems Research Using Structural Equation Modeling

2010 ◽  
pp. 77-94 ◽  
Author(s):  
Nicholas Roberts ◽  
Varun Grover
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Theory Development ◽  
Theoretical Models ◽  
Equation Modeling ◽  
Is Research ◽  
Significant Potential ◽  
Systems Research ◽  
Information Systems Research ◽  
Is Theory

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.

The Use of Structural Equation Modeling in IS Research

2011 ◽  
pp. 44-65 ◽  
Author(s):  
Kun S. Im ◽  
Varun Grover
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Theory Development ◽  
Theoretical Models ◽  
Research Tool ◽  
Equation Modeling ◽  
Is Research ◽  
Significant Potential ◽  
Is Theory

The structural equation modeling (SEM) technique has significant potential as a research tool for assessing and modifying theoretical models. There have been 139 applications of SEM in IS research published in major journals, most of which have been after 1994. However, despite its increasing use in the field, it remains a complex tool that is often difficult to apply effectively. The purpose of this study is to evaluate the previous IS applications of SEM and to suggest guidelines to realize the potential of SEM in IS research. The 72 empirical applications of SEM gathered from leading IS journals are reviewed and evaluated according to prescribed criteria. Avenues for improvement are suggested which can facilitate application of this important technique in IS theory development and testing.

Variance-Based Structural Equation Modeling

2012 ◽  
pp. 193-221 ◽  
Author(s):  
José L. Roldán ◽  
Manuel J. Sánchez-Franco
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Statistical Technique ◽  
Equation Modeling ◽  
Systems Research ◽  
Information Systems Research ◽  
Systems Models

Partial Least Squares (PLS) is an efficient statistical technique that is highly suited for Information Systems research. In this chapter, the authors propose both the theory underlying PLS and a discussion of the key differences between covariance-based SEM and variance-based SEM, i.e., PLS. In particular, authors: (a) provide an analysis of the origin, development, and features of PLS, and (b) discuss analysis problems as diverse as the nature of epistemic relationships and sample size requirements. In this regard, the authors present basic guidelines for the applying of PLS as well as an explanation of the different steps implied for the assessment of the measurement model and the structural model. Finally, the authors present two examples of Information Systems models in which they have put previous recommendations into effect.

Contemporary Reporting Practices Regarding Covariance-Based SEM with a Lens on EQS

2012 ◽  
pp. 166-192
Author(s):  
Theresa M. Edgington ◽  
Peter M. Bentler
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Analysis Tool ◽  
Important Research ◽  
Reporting Practices ◽  
Software Applications ◽  
Systems Research ◽  
Information Systems Research ◽  
Research Analysis

Structural Equation Modeling (SEM) continues to grow in use as an important research analysis tool in Information Systems research. While evaluating SEM results and interpreting them depends on a variety of reported details, SEM results continue to be reported in an inconsistent manner. Key reporting elements are discussed with regard to contemporary practices which can serve as a guide for future submissions and reviewing. This chapter contributes to the literature by providing an overview of important considerations in reporting results from covariance-based structural equation modeling execution and analysis. It incorporates models and other examples of EQS, one of the leading SEM software applications. While EQS is increasingly used by IS researchers, exemplars of its code and output have not been well published within the IS community, overly complicating the reviewing process for these papers.

scholarly journals Factors Affecting Satisfaction and Loyalty in Public Transport using Partial Least Squares Structural Equation Modeling (PLS-SEM)

2019 ◽  
Vol 8 (12) ◽  
pp. 569-575 ◽  
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Public Transport ◽  
Structural Equation ◽  
Theory Development ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Effective Strategies ◽  
Transportation Research

With an increasing number of privately own vehicles in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation modeling (PLS-SEM) was used to analyse the data. The main findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage.

scholarly journals Testing IB theories with meta-analytic structural equation modeling

2016 ◽  
Vol 26 (4) ◽  
pp. 472-492 ◽  
Author(s):  
Ryan W. Tang ◽  
Mike W.-L. Cheung
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Transaction Cost Economics ◽  
Theoretical Models ◽  
Equation Modeling ◽  
Methodological Issues ◽  
Optimal Method ◽  
Internal Factors ◽  
Content Type ◽  
Rigorous Approach

Purpose The purpose of this paper is to illustrate how international business (IB) researchers can benefit from meta-analytic structural equation modeling (MASEM) by introducing a statistically rigorous approach (i.e. two-stage meta-analytic structural equation modeling or TSSEM) and comparing it with a conventional approach (i.e. the univariate-r approach). The illustration and comparison present a methodological overview of MASEM that will assist IB researchers in selecting an optimal method. Design/methodology/approach In this paper, the MASEM method is elaborated upon, and methodological issues are addressed, by comparing the TSSEM and the univariate-r approaches using an empirical illustration. In this illustrative example, which is based on transaction cost economics, the effects of a firm’s internal factors on its levels of commitment in an international entry strategy are examined. Findings The MASEM method can help IB researchers to test and build on IB theories by synthesizing findings in the extant literature because this method reflects the theoretical complexity of IB (e.g. intercorrelationships among factors). Comparing the two approaches of MASEM, it is found in this study that due to its statistical rigorousness TSSEM has methodological advantages in helping IB researchers test theoretical models. Originality/value This is the first study to introduce MASEM into the discipline of IB strategies. In this paper, the authors introduce an advanced research method and illustrate two ways of using it.

Healthcare Information Systems Research

2011 ◽  
pp. 192-210
Author(s):  
Alexander J. McLeod ◽  
Jan G. Clark
Keyword(s):  
Information Systems ◽  
Stakeholder Analysis ◽  
Healthcare Setting ◽  
Business Environment ◽  
Emergency Rooms ◽  
Healthcare Information ◽  
Is Research ◽  
Systems Research ◽  
Information Systems Research ◽  
Is Theory

It is not a simple matter to generalize healthcare IS research, assuming that it is equivalent to organizational IS research. Hospitals, emergency rooms, and laboratories are very different from the normal “business” environment, and “healthcare users” vary considerably in the role that they play. Therefore, IS researchers need to understand the healthcare setting before they can appropriately apply IS theory. Obviously, if we are studying the wrong person, or group of people, we cannot expect to produce relevant research. In order to alleviate confusion regarding who is the user in healthcare IS research, we provide examples of several healthcare scenarios, perform a simplified stakeholder analysis in each scenario, and identify the stakeholders and their roles in each scenario.

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