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      Unlocking digital potential: Exploring the drivers of employee dynamic capability on employee digital performance in Chinese SMEs-moderation effect of competitive climate

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          Abstract

          While dynamic capabilities have been described as crucial for achieving organizational performance in dynamic environments, there has been limited scholarly distinction between dynamic capabilities and employee dynamic capabilities (EDC), especially in the digital era. Consequently, a knowledge gap has emerged. To address this void, this paper aims to investigate the driving factors of EDC and their impact on employee digital performance (EDP). Simultaneously, incorporating the competitive climate (CC) as a moderating variable between employee dynamic capabilities and employee digital performance addresses theoretical gaps in specific regions in China, particularly in small and medium-sized enterprises (SMEs). This study utilizes survey data from SMEs in four Chinese provinces: Shanghai, Guizhou, Guangdong, and Anhui. It employs CB-SEM (AMOS) to analyze the new conceptual framework. Firstly, the research uncovers that the positive relationship between digital capabilities and employee digital performance necessitates employee dynamic capabilities as a mediator. Secondly, there exists a direct and indirect relationship between organizational learning and employee digital performance. Finally, this study discerns that the competitive climate moderates the relationship between employee dynamic capabilities and employee digital performance. This finding demonstrates remarkable alignment with the competitive culture in specific regions of China. The research results encourage SMEs to seize the opportunities presented by emerging digital technologies and industry digitization trends. They should commit to embracing new digital technologies, enhancing digital capability, strengthening organizational learning, fostering a positive competitive climate, and focusing on the development of employee dynamic capability to enhance their competitive edge. The findings of this research contribute not only to academic inquiry but also furnish pertinent decision-making references for relevant departments.

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              Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation.

              There have been numerous treatments in the clinical research literature about various design, analysis, and interpretation considerations when testing hypotheses about mechanisms and contingencies of effects, popularly known as mediation and moderation analysis. In this paper we address the practice of mediation and moderation analysis using linear regression in the pages of Behaviour Research and Therapy and offer some observations and recommendations, debunk some popular myths, describe some new advances, and provide an example of mediation, moderation, and their integration as conditional process analysis using the PROCESS macro for SPSS and SAS. Our goal is to nudge clinical researchers away from historically significant but increasingly old school approaches toward modifications, revisions, and extensions that characterize more modern thinking about the analysis of the mechanisms and contingencies of effects.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                11 February 2024
                29 February 2024
                11 February 2024
                : 10
                : 4
                : e25583
                Affiliations
                [a ]Ph.D. in Business and Economics, School of Economics and Management, University Putra Malaysia, 43400UPM, Serdang, Selangor, Malaysia
                [b ]Departement of Applied Psychology, University of Nottingham Malaysia Campus, Semenyih, 43500, Malaysia
                [c ]Department of Management and Marketing, School of Business and Economics and Management, Universiti Putra Malaysia, 43400UPM, Serdang, Selangor, Malaysia
                [d ]School of Hotel Management, Qingdao Vocational and Technical College of Hotel Management, Shandong, China
                Author notes
                []Corresponding author. aina_m@ 123456upm.edu.my
                [∗∗ ]Corresponding author. yee@ 123456upm.edu.my
                Article
                S2405-8440(24)01614-1 e25583
                10.1016/j.heliyon.2024.e25583
                10877181
                38379974
                07da4a0b-92a6-48a8-9a3b-146d5c9e0420
                © 2024 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 24 October 2023
                : 24 January 2024
                : 30 January 2024
                Categories
                Research Article

                digital capability,organizational learning,employee dynamic capability,competitive climate,employee digital performance,smes,digital transformation

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