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      Distributed leadership and exploratory and exploitative innovations: mediating roles of tacit and explicit knowledge sharing and organizational trust

      , ,
      Journal of Knowledge Management
      Emerald

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          Abstract

          Purpose

          The aim of this paper is to highlight the impact of distributed leadership (DL) on exploitative and exploratory innovations through the mediating effects of organizational trust (OT) and tacit and explicit knowledge sharing (KS).

          Design/methodology/approach

          Focusing on a quantitative approach, an empirical study was performed within a sample of information and communication technology Tunisian firms. The data collected was analyzed through the Partial Least Squares (PLS) method.

          Findings

          Findings revealed that DL is a driver of tacit and explicit KS, and exploitative and exploratory innovations. It also highlighted that tacit KS is associated with these two types of innovation. In this line, results showed that tacit KS plays a mediating effect between DL and exploitative and exploratory innovations. Moreover, our research highlighted that DL has a positive impact on OT that in turn boosts tacit and explicit KS.

          Originality/value

          This paper investigates the links between DL and exploitative and exploratory innovations within knowledge intensive firms (KIFs) that have never been studied in the literature within the context of business firms. This paper pioneers the examination of the mediating roles of explicit and tacit KS and OT in these links as well. This paper highlights the importance of DL for KIFs and sheds the light on how this collectivist approach of leadership creates an atmosphere of trust and fosters tacit and explicit KS to boost exploitative and exploratory innovations.

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          Most cited references140

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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              Exploration and Exploitation in Organizational Learning

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                Author and article information

                Journal
                Journal of Knowledge Management
                JKM
                Emerald
                1367-3270
                1367-3270
                November 20 2020
                June 21 2021
                November 20 2020
                June 21 2021
                : 25
                : 5
                : 1287-1318
                Article
                10.1108/JKM-04-2020-0311
                9295ac76-bb25-4b35-a245-8984f8c58231
                © 2021

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