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      DECENT WORK AND INNOVATIVE WORK BEHAVIOUR: THE MEDIATING ROLES OF ORGANISATIONAL LEARNING AND WORK ENGAGEMENT

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          Abstract

          The idea that innovations enable organisations to enjoy adaptive, competitive, and generative advantages has become widely accepted. This recognition has seen many low and middle-income countries (LMICs) add innovation policy to their national policy frameworks. However, most LMICs continue to experience economic stagnation and low productivity growth amid calls for deeper theoretical and practical examination of what could foster and sustain innovative work behaviour (IWB) in such settings. The study developed and tested a conditional mediation model explaining the activation of IWB with a focus on the central role of decent work. A time-lagged study design informed data collection from two probability samples. Employees self-reported using previously validated measures of the constructs in use. The study used covariance-based structural equation modelling (CB-SEM) to test the mediation model. Decent work had significant, positive relationships with organisational learning and work engagement. Organisational learning and work engagement were positively and significantly associated with IWB. Work engagement and organisational learning mediated the effect of decent work on IWB. The results provide complementary insights into how decent work may transform into IWB. Leadership seeking to better harness the innovative capabilities resident in their organisations should develop and nurture enterprise-wide, healthy workplaces anchored on the tenets of decent work. The modelled capabilities are learnable, and hence developable. We discuss the study implications and limitations.

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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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A new criterion for assessing discriminant validity in variance-based structural equation modeling

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                International Journal of Innovation Management
                Int. J. Innov. Mgt.
                World Scientific Pub Co Pte Ltd
                1363-9196
                1757-5877
                May 2023
                September 19 2023
                May 2023
                : 27
                : 03n04
                Affiliations
                [1 ]Graduate School of Business Leadership, Faculty of Business Sciences Midlands State University, Gweru, Zimbabwe
                [2 ]Department of Business Management University of Fort Hare, East London, South Africa
                [3 ]Department of Economics, Faculty of Business Sciences Midlands State University, Gweru, Zimbabwe
                Article
                10.1142/S1363919623500214
                e61ac242-3bfc-4d07-9435-755153c11bc2
                © 2023
                History

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