Management Decision · 2024 · 42 citations · 126 references
Digital BusinessEnterprise Business TransformationFirm PerformanceOrganizational CharacteristicTechnology ChangeHuman Resource ManagementIndustrial OrganizationFirm AgilityOrganizational BehaviorDigital TransformationManagementDigital Transformation AntecedentsDigital TechnologyStructural Equation ModelingTechnology TransferOrganizational TransformationStrategic ManagementMarketingOrganizational CommunicationDigitalizationBusinessBusiness Strategy
Purpose In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on digital transformation has garnered significant interest among academics in recent decades. However, this study aims to recognize the key and holistic antecedents influencing digital transformation in manufacturing firms. This study also investigates the indirect relationships of antecedents with firm performance. Design/methodology/approach The hypothesis was investigated using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 279 employees through a self-administered survey of manufacturing firms. Findings The results described a significant and positive impact of competitive pressure, leadership role, organization culture, organization mindfulness, government regulation, and IT readiness on digital transformation and firm performance. Furthermore, digital transformation partially mediates the relationship between antecedents and firm performance. Originality/value The study finds a holistic perspective of the critical antecedents of digital transformation using the mediation role of digital transformation and moderating effects of firm agility. Additionally, all antecedents have a significant association with Firm Performance.
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When to use and how to report the results of PLS-SEM
Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt et al. · European Business Review · 2018 · 21.5K citations
The partial least squares approach for structural equation modeling.
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Customer Satisfaction, Education, Optimal Experimental Design +19