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Albert H. Segars
Researcher at University of North Carolina at Chapel Hill
Publications - 45
Citations - 11642
Albert H. Segars is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Information technology & Information system. The author has an hindex of 28, co-authored 44 publications receiving 10679 citations. Previous affiliations of Albert H. Segars include Clemson University & Boston College.
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Knowledge Management: An Organizational Capabilities Perspective
TL;DR: This research suggests that a knowledge infrastructure consisting of technology, structure, and culture along with a knowledge process architecture of acquisition, conversion, application, and protection are essential organizational capabilities or "preconditions" for effective knowledge management.
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Re-examining perceived ease of use and usefulness
Albert H. Segars,Varun Grover +1 more
TL;DR: Adams et al. as discussed by the authors evaluated the psychometric properties of the ease of use and usefulness scales, and empirically examined the relationship between the constructs (or traits) of usefulness, ease-of-use, and reported levels of usage.
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Assessing the unidimensionality of measurement : a paradigm and illustration within the context of information systems research
TL;DR: A paradigm for developing unidimensional scales is offered as a means of formally defining unidimensionality, distinguishing the concept from traditional reliability-based metrics, and describing a structured technique for empirically testing its existence.
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Strategic information systems planning success: an investigation of the construct and its measurement
Albert H. Segars,Varun Grover +1 more
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An Empirical Examination of the Concern for Information Privacy Instrument
TL;DR: This study examines the factor structure of the concern for information privacy (CFIP) instrument and suggests that each dimension of this instrument is reliable and distinct and that CFIP may be more parsimoniously represented as a higher-order factor structure rather than a correlated set of first-order factors.