Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors
- PMID: 33833714
- PMCID: PMC8021873
- DOI: 10.3389/fpsyg.2021.620766
Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors
Abstract
The rapid advancement of new digital technologies, such as smart technology, artificial intelligence (AI) and automation, robotics, cloud computing, and the Internet of Things (IoT), is fundamentally changing the nature of work and increasing concerns about the future of jobs and organizations. To keep pace with rapid disruption, companies need to update and transform business models to remain competitive. Meanwhile, the growth of advanced technologies is changing the types of skills and competencies needed in the workplace and demanded a shift in mindset among individuals, teams and organizations. The recent COVID-19 pandemic has accelerated digitalization trends, while heightening the importance of employee resilience and well-being in adapting to widespread job and technological disruption. Although digital transformation is a new and urgent imperative, there is a long trajectory of rigorous research that can readily be applied to grasp these emerging trends. Recent studies and reviews of digital transformation have primarily focused on the business and strategic levels, with only modest integration of employee-related factors. Our review article seeks to fill these critical gaps by identifying and consolidating key factors important for an organization's overarching digital transformation. We reviewed studies across multiple disciplines and integrated the findings into a multi-level framework. At the individual level, we propose five overarching factors related to effective digital transformation among employees: technology adoption; perceptions and attitudes toward technological change; skills and training; workplace resilience and adaptability, and work-related wellbeing. At the group-level, we identified three factors necessary for digital transformation: team communication and collaboration; workplace relationships and team identification, and team adaptability and resilience. Finally, at the organizational-level, we proposed three factors for digital transformation: leadership; human resources, and organizational culture/climate. Our review of the literature confirms that multi-level factors are important when planning for and embarking on digital transformation, thereby providing a framework for future research and practice.
Keywords: digital disruption; digital technology; digital transformation; employee; literature review; multi-level framework; organization; workplace.
Copyright © 2021 Trenerry, Chng, Wang, Suhaila, Lim, Lu and Oh.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures
Similar articles
-
Methodology for Digital Transformation with Internet of Things and Cloud Computing: A Practical Guideline for Innovation in Small- and Medium-Sized Enterprises.Sensors (Basel). 2021 Aug 9;21(16):5355. doi: 10.3390/s21165355. Sensors (Basel). 2021. PMID: 34450797 Free PMC article. Review.
-
Risk Factors and Leadership in a Digitalized Working World and Their Effects on Employees' Stress and Resources: Web-Based Questionnaire Study.J Med Internet Res. 2021 Mar 12;23(3):e24906. doi: 10.2196/24906. J Med Internet Res. 2021. PMID: 33709933 Free PMC article.
-
Strategic Guidance and Technological Solutions for Human Resources Management to Sustain an Aging Workforce: Review of International Standards, Research, and Use Cases.JMIR Hum Factors. 2022 Jul 21;9(3):e27250. doi: 10.2196/27250. JMIR Hum Factors. 2022. PMID: 35862177 Free PMC article. Review.
-
A Guide for the Food Industry to Meet the Future Skills Requirements Emerging with Industry 4.0.Foods. 2020 Apr 14;9(4):492. doi: 10.3390/foods9040492. Foods. 2020. PMID: 32295238 Free PMC article.
-
Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing.Sensors (Basel). 2022 Jun 14;22(12):4501. doi: 10.3390/s22124501. Sensors (Basel). 2022. PMID: 35746287 Free PMC article. Review.
Cited by
-
Digital health readiness - insights from healthcare leaders in operational management: a cross-sectional survey.BMC Health Serv Res. 2025 Feb 12;25(1):240. doi: 10.1186/s12913-024-12129-y. BMC Health Serv Res. 2025. PMID: 39939988 Free PMC article.
-
The association between digitalization and mental health: The mediating role of wellbeing at work.Front Psychiatry. 2022 Aug 4;13:934357. doi: 10.3389/fpsyt.2022.934357. eCollection 2022. Front Psychiatry. 2022. PMID: 35990046 Free PMC article. Review.
-
Network embeddedness, digital transformation, and enterprise performance-The moderating effect of top managerial cognition.Front Psychol. 2023 Feb 2;14:1098974. doi: 10.3389/fpsyg.2023.1098974. eCollection 2023. Front Psychol. 2023. PMID: 36818130 Free PMC article.
-
Artificial intelligence adoption in extended HR ecosystems: enablers and barriers. An abductive case research.Front Psychol. 2024 Jan 24;14:1339782. doi: 10.3389/fpsyg.2023.1339782. eCollection 2023. Front Psychol. 2024. PMID: 38327504 Free PMC article.
-
Supervisor-Subordinate Age Dissimilarity and Its Impact on Supervisory Ratings of Employability: Does Supportive Learning Context Make a Difference?Front Psychol. 2021 Dec 16;12:763746. doi: 10.3389/fpsyg.2021.763746. eCollection 2021. Front Psychol. 2021. PMID: 34975654 Free PMC article.
References
-
- Acemoglu D., Autor D. (2011). “Skills, tasks and technologies: implications for employment and earnings,” in Handbook of Labor Economics, eds Ashenfelter O., Card D. E. (Amsterdam: Elsevier; ), 1043–1171.
-
- Agarwal Upasna A., Datta S., Blake−Beard S., Bhargava S. (2012). Linking LMX, innovative work behaviour and turnover intentions: the mediating role of work engagement. Career Dev. Int 17 208–230. 10.1108/13620431211241063 - DOI
-
- Ajzen I. (1985). “From intentions to actions: a theory of planned behavior,” in Action Control: From Cognition to Behavior, eds Kuhl J., Beckmann J. (Berlin: Springer; ), 11–39.
Publication types
LinkOut - more resources
Full Text Sources
Other Literature Sources