Force Field Analysis in the Digital Age: A Systemic Approach to Change Management in Organizations

  • Unique Paper ID: 174109
  • Volume: 11
  • Issue: 10
  • PageNo: 2667-2677
  • Abstract:
  • The increasing complexity of digital transformation has made traditional organizational change management frameworks inadequate for handling rapid technological advancements. Force Field Analysis (FFA), originally developed by Kurt Lewin, has long been used to assess the driving and restraining forces of change. However, conventional FFA assumes a linear change process, which does not align with the dynamic, iterative nature of digital transformation. The need for an adaptive, data-driven approach has led to the evolution of FFA into a more agile and technology-integrated model. This study aims to introduce and validate the Digital-Age Force Field Analysis (DFFA) Framework, an evolved change management model that integrates agile methodologies, AI-driven analytics, and employee-centric digital adoption strategies. The DFFA Framework is designed to provide organizations with a systemic, iterative approach to managing digital change, ensuring a balance between technological adoption and resistance mitigation. This study employs a conceptual research design using secondary data from peer-reviewed literature, industry reports, and case studies to develop the Digital-Age Force Field Analysis (DFFA) Framework, integrating agile methodologies, AI-driven analytics, and employee-centric digital adoption models as a modernized adaptation of Lewin’s FFA. The findings highlight that successful digital transformation requires a systematic and strategic approach that not only leverages driving forces but also effectively mitigates restraining forces, ensuring a balanced and sustainable transition into digital operations. The practical benefits of integrating real-time analytics and iterative change processes into Force Field Analysis, ensures greater organizational agility and reduced resistance to transformation. The DFFA Framework makes both theoretical and practical contributions to the field of change management. Theoretically, it modernizes Lewin’s FFA by embedding data-driven decision-making, AI-driven insights, and continuous feedback loops, making it more applicable to modern digital transformation challenges. Practically, it provides a scalable, adaptable approach for organizations to navigate digital disruptions, enhance workforce engagement, and ensure sustainable technological adoption.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174109,
        author = {Uma Maheswari A and Chandrasekar S},
        title = {Force Field Analysis in the Digital Age: A Systemic Approach to Change Management in Organizations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2667-2677},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174109},
        abstract = {The increasing complexity of digital transformation has made traditional organizational change management frameworks inadequate for handling rapid technological advancements.  Force Field Analysis (FFA), originally developed by Kurt Lewin, has long been used to assess the driving and restraining forces of change.  However, conventional FFA assumes a linear change process, which does not align with the dynamic, iterative nature of digital transformation.  The need for an adaptive, data-driven approach has led to the evolution of FFA into a more agile and technology-integrated model.  This study aims to introduce and validate the Digital-Age Force Field Analysis (DFFA) Framework, an evolved change management model that integrates agile methodologies, AI-driven analytics, and employee-centric digital adoption strategies.  The DFFA Framework is designed to provide organizations with a systemic, iterative approach to managing digital change, ensuring a balance between technological adoption and resistance mitigation.  This study employs a conceptual research design using secondary data from peer-reviewed literature, industry reports, and case studies to develop the Digital-Age Force Field Analysis (DFFA) Framework, integrating agile methodologies, AI-driven analytics, and employee-centric digital adoption models as a modernized adaptation of Lewin’s FFA.  The findings highlight that successful digital transformation requires a systematic and strategic approach that not only leverages driving forces but also effectively mitigates restraining forces, ensuring a balanced and sustainable transition into digital operations.  The practical benefits of integrating real-time analytics and iterative change processes into Force Field Analysis, ensures greater organizational agility and reduced resistance to transformation.  The DFFA Framework makes both theoretical and practical contributions to the field of change management.  Theoretically, it modernizes Lewin’s FFA by embedding data-driven decision-making, AI-driven insights, and continuous feedback loops, making it more applicable to modern digital transformation challenges.  Practically, it provides a scalable, adaptable approach for organizations to navigate digital disruptions, enhance workforce engagement, and ensure sustainable technological adoption.},
        keywords = {Force Field Analysis, Digital Transformation, AI-driven Change, Agile Change Management, Employee Digital Adoption, Predictive Analytics, Organizational Change},
        month = {March},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 10
  • PageNo: 2667-2677

Force Field Analysis in the Digital Age: A Systemic Approach to Change Management in Organizations

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