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Bruce R. Lewis
Researcher at Wake Forest University
Publications - 20
Citations - 2052
Bruce R. Lewis is an academic researcher from Wake Forest University. The author has contributed to research in topics: Construct (philosophy) & Information system. The author has an hindex of 16, co-authored 20 publications receiving 1939 citations.
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A methodology for construct development in MIS research
TL;DR: An assessment of the proposed methodology indicates that its adoption in MIS research would greatly improve the rigor of construct development projects and its performance when compared to a number of prominent standards for assessing construct development research.
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Development of a Measure for the Organizational Learning Construct
TL;DR: This research represents the initial work in developing an empirically reliable and valid measure of organizational learning and includes an eightfactor, 28-item instrument for assessing OL, derived from a sample of 119 knowledge-based firms.
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The leveraging influence of strategic alignment on IT investment: An empirical examination
TL;DR: The results indicated that there is a synergistic coupling between strategic alignment and IT investment with firm performance, and firms that have aligned IT and business strategies can invest in additional IT resources with some assurance that they will be leveraged substantially.
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The Impact of Information Technology Infrastructure Flexibility on Strategic Alignment and Application Implementations
TL;DR: Examination of the impact of the four components of IT infrastructure flexibility on strategic IT-business alignment and the extent to which various applications are implemented within an organization indicates that connectivity, modularity, and IT personnel make significant, positive impacts on strategic alignment.
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An empirical assessment of the information resource management construct
TL;DR: This study defines the IRM construct as a comprehensive approach to planning, organizing, budgeting, directing, monitoring, and controlling the people, funding, technologies, and activities associated with acquiring, storing, processing, and distributing data to meet a business need for the benefit of the entire enterprise.