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      From knowledge management to organizational performance : Modelling the mediating role of innovation and intellectual capital in higher education

      , , , ,
      Journal of Enterprise Information Management
      Emerald

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          Abstract

          Purpose

          The purpose of this paper is to empirically investigate the effects of knowledge management (KM) enablers on KM processes in research universities and testing the direct relation between KM processes and OP. This study also proposes to examine the mediating role of intellectual capital (IC) and innovation in the relationship between KM processes and performance of universities.

          Design/methodology/approach

          Using a sample of 217 academic and administrative personnel from research universities of Pakistan, the hypothesized relationships were tested through partial least squares structural equation modeling technique.

          Findings

          The results reveal that KM enablers have a significant impact on KM processes. The results also indicate that KM processes influence organizational performance (OP) directly and indirectly through innovation and IC.

          Practical implications

          Findings of this study reinforce the corporate experience of KM and suggest how administrators of research universities and higher educational institutions can promote innovation and IC, which in turn enhance OP.

          Originality/value

          Despite the augmented importance of KM in higher education institutions or research universities, there is a dearth of studies that investigate the interplay of KM, innovation, IC and OP. This is one of the earliest studies that not only empirically investigate the interaction of KM enablers, KM processes and performance of research universities but also shed insights into the existing literature by simultaneously investigating mediating role of IC and innovation in the underlying relationship.

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          Most cited references133

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

            In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
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              Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

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                Author and article information

                Journal
                Journal of Enterprise Information Management
                JEIM
                Emerald
                1741-0398
                February 11 2019
                February 11 2019
                : 32
                : 1
                : 36-59
                Article
                10.1108/JEIM-04-2018-0083
                14bdb3be-9108-451f-bb30-825369d0ebcc
                © 2019

                https://www.emerald.com/insight/site-policies

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