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Seeing the Forest and the Trees: A Meta-Analysis of the Antecedents to Information Security Policy Compliance1

MIS Quarterly 2019 43(2), 525-553
A rich stream of research has identified numerous antecedents to employee compliance (and noncompliance) with information security policies. However, the number of competing theoretical perspectives and inconsistencies in the reported findings have hampered efforts to attain a clear understanding of what truly drives this behavior. To address this theoretical stalemate and build toward a consensus on the key antecedents of employees’ security policy compliance in different contexts, we conducted a meta-analysis of the relevant literature. Drawing on 95 empirical papers, we classified 401 independent variables into 17 distinct categories and analyzed each category’s relationship with security policy compliance, including an analysis for possible domain-specific moderators. A meta-analytic relative weight analysis determined the relative importance of each category in predicting security policy compliance, while adding robustness to our findings. At a broad level, our results suggest that much of the security policy compliance literature is plagued by suboptimal theoretical framing. Our findings can facilitate more refined theory-building efforts in this research domain and serve as a guide for practitioners to manage security policy compliance initiatives.

Looking Toward the Future of IT–Business Strategic Alignment Through the Past: A Meta-Analysis1

MIS Quarterly 2014 38(4), 1159-1186
Research examining the relationship between IT–business strategic alignment (hereafter referred to as alignment) and firm performance (hereafter referred to as performance) has produced apparently conflicting findings (i.e., an alignment paradox). To examine the alignment paradox, we conducted a meta-analysis that probed the interrelationships between alignment, performance, and context constructs. We found the alignment dimensions (intellectual, operational, and cross-domain) demonstrate unique relationships with the different performance types (financial performance, productivity, and customer benefit) and with many of the other constructs in alignment’s nomological network. All mean corrected correlations between dimensions of alignment and dependent variables were positive and most of the credibility interval values in these analyses were also positive. Overall, the evidence gathered from the extant literature suggests there is not much of an alignment paradox. This study contributes to the literature by clarifying the relationships between alignment and performance outcomes and offering insight into sources of inconsistencies in alignment research. By doing so, this paper lays a foundation for more consistent treatment of alignment in future IT research.

A Meta-Analysis of the Role of Environment-Based Voluntariness in Information Technology Acceptance1

MIS Quarterly 2009
The technology acceptance model (TAM) asserts that ease of use and usefulness are two primary determinants of behavioral intention and usage. A parallel research stream emphasizes voluntariness, a key social influence and contextual variable, as a critical factor in information technology (IT) adoption, but pays little attention to its role in TAM. This paper addresses this particular absence by investigating the impact of environment-based voluntariness on the relationships among the four primary TAM constructs. A meta-analysis of 71 empirical studies provides strong support for the hypotheses that environment-based voluntariness moderates the effects of ease of use and usefulness on behavioral intention, but not the effect of ease of use on usefulness. Moreover, inconsistent with our expectations, environment-based voluntariness does not moderate the effects of ease of use and usefulness on usage. By further analyzing the data set, we suggest this may be because of the relatively small sample size, the presence of other factors, or the inappropriate measurement of usage in previous studies. The current study contributes not only to the distinction between user-based and environment-based voluntariness but also to a more complete understanding of user acceptance of IT across system-use environments.

Turnover of Information Technology Professionals: A Narrative Review, Meta-Analytic Structural Equation Modeling, and Model Development1

MIS Quarterly 2007 31(3), 547-577
This study combines a narrative review with meta-analytic techniques to yield important insights about the existing research on turnover of information technology professionals. Our narrative review of 33 studies shows that the 43 antecedents to turnover intentions of IT professionals could be mapped onto March and Simon’s (1958) distal-proximal turnover framework. Our meta-analytic structural equation modeling shows that proximal constructs of job satisfaction (reflecting the lack of desire to move) and perceived job alternatives (reflecting ease of movement) partially mediate the relationships between the more distal individual attributes, job-related and perceived organizational factors, and IT turnover intentions. Building on the findings from our review, we propose a new theoretical model of IT turnover that presents propositions for future research to address existing gaps in the IT literature.

Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis1

MIS Quarterly 2001
Many previous papers have lamented the fact that the findings of past GSS research have been inconsistent. This paper develops a new model for interpreting GSS effects on performance (a Fit- Appropriation Model), which argues that GSS performance is affected by two factors. The first is the fit between the task and the GSS structures selected for use (i.e., communication support and information processing support). The second is the appropriation support the group receives in the form of training, facilitation, and software restrictiveness to help them effectively incorporate the selected GSS structures into their meeting process. A meta-analysis using this model to organize and classify past research found that when used appropriately (i.e., there is a fit between the GSS structures and the task, and the group receives appropriation support), GSS use increased the number of ideas generated, took less time, and led to more satisfied participants than if the group worked without the GSS. Fitting the GSS to the task had the most impact on outcome effectiveness (decision quality and ideas), while appropriation support had the most impact on the process (time required and process satisfaction). We conclude that when using this theoretical lens, the results of GSS research do not appear inconsistent.

Revisiting DSS Implementation Research: A Meta-Analysis of the Literature and Suggestions for Researchers

MIS Quarterly 1992
Information systems are becoming increasingly critical to the daily operations and success of many firms. This, combined with the rising investments in design and development of these systems, make implementation a high priority research topic. Although information systems implementation has been a topic of interest to researchers over the past two decades, the extent to which the existing body of research reflects substantial and cumulative development is not entirely clear. The objective of this study is to conduct a rigorous and quantitative review of the empirical DSS implementation literature as a basis for providing guidelines for implementation management and conduct of future research. Metaanalysis of 144 findings from 33 studies indicates that user-situational variables (involvement, training and experience) are more important than psychological factors to DSS implementation success and that user-situational variables can improve the implementation success by as much as 30 percent. Furthermore, the meta-analytic findings regarding the methodological characteristics of studies provide useful insights for the design of future research studies of implementation. The findings also allow us to put into perspective the incremental contribution of additional substantive and empirical studies in this area. Additionally, several specific domains (e.g., construct validation research on user involvement and casual modeling) might profit most from future research efforts.