The Interplay Between Organizational Theory, Metaphor, and Behaviour in Understanding Complex Organizational Phenomena: Navigating Digital Disruption, ESG, Hybrid Work, and Organizational Politics
DOI:
https://doi.org/10.30983/iciefs.v3i1.903Keywords:
Adaptive Systems, Digital Disruption , ESG, Hybrid Work, Legitimacy, Organizational TheoryAbstract
In an era defined by rapid technological shifts, sustainability imperatives, hybrid work models, and politicized internal environments, organizations must navigate complexity at multiple levels. This paper develops and applies an integrated conceptual framework that combines Institutional Theory, Contingency Theory, and the organizational behaviour lens of Psychological Safety, enriched by the metaphors of the organization as a political system and as an adaptive organism. Drawing from real-world cases across corporate, non-profit, and higher education sectors, the study examines how organizations respond to digital disruption, ESG pressures, hybrid work transitions, and organizational politics. Through this multidimensional lens, the paper reveals how legitimacy, adaptability, power dynamics, and psychological conditions shape the outcomes of change initiatives. The findings suggest that complex organizational phenomena cannot be understood through a singular perspective. Instead, theory, behaviour, and metaphor must be synthesized to account for both the formal and informal dimensions of organizational life. The study concludes by offering implications for leadership, design, and research, emphasizing the need for systems thinking, political literacy, and cultural sensitivity in navigating contemporary challenges.
References
Altbach, P. G., Reisberg, L., & de Wit, H. (2020). Responding to COVID-19: Higher education in a global crisis. International Higher Education, 102, 4–5.
Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2022). Does working from home work? Evidence from a two-year randomized experiment. Quarterly Journal of Economics, 137(1), 165–218.
Buchanan, D., & Badham, R. (2008). Power, politics, and organizational change: Winning the turf game (2nd ed.). Sage.
Burns, T., & Stalker, G. M. (1961). The management of innovation. Tavistock.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality. American Sociological Review, 48(2), 147–160.
Donaldson, L. (2001). The contingency theory of organizations. Sage Publications.
Eccles, R. G., & Klimenko, S. (2019). The investor revolution. Harvard Business Review, 97(3), 106–116.
Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383.
Educause. (2022). The higher education hybrid work landscape. https://library.educause.edu/resources/2022/4/the-higher-education-hybrid-work-landscape
Financial Times. (2022, January 23). Unilever’s ESG push faces investor backlash. https://www.ft.com
Frazier, M. L., Fainshmidt, S., Klinger, R. L., Pezeshkan, A., & Vracheva, V. (2017). Psychological safety: A meta‐analytic review and extension. Personnel Psychology, 70(1), 113–165.
Gond, J. P., Grubnic, S., Herzig, C., & Moon, J. (2012). Configuring management control systems: Theorizing the integration of strategy and sustainability. Management Accounting Research, 23(3), 205–223.
Greenwood, R., Oliver, C., Sahlin, K., & Suddaby, R. (Eds.). (2011). The Sage handbook of organizational institutionalism. Sage.
Lawrence, P. R., & Lorsch, J. W. (1967). Organization and environment: Managing differentiation and integration. Harvard University Press.
McKinsey & Company. (2023). The state of AI in 2023: Generative AI’s breakout year. https://www.mckinsey.com
Morgan, G. (2006). Images of organization (Updated ed.). Sage Publications.
Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363.
Newman, A., Donohue, R., & Eva, N. (2017). Psychological safety: A systematic review of the literature. Human Resource Management Review, 27(3), 521–535.
NGO Advisor. (2023). Annual ranking of the world’s top 200 NGOs. https://www.ngoadvisor.net
Parker, S. K., Knight, C., & Keller, A. (2022). Remote managers are having trust issues. Harvard Business Review.
Scott, W. R. (2008). Institutions and organizations: Ideas and interests (3rd ed.). Sage Publications.
Shields, P. M., & Rangarajan, N. (2013). A playbook for research methods: Integrating conceptual frameworks and project management. New Forums Press.
Sundheim, D. (2023, December 12). How Patagonia became the most reputable brand in the United States. Forbes. https://www.forbes.com
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144.
Vredenburgh, D. J., & Maurer, J. G. (1984). A process framework of organizational politics. Human Relations, 37(1), 47–66.
Waizenegger, L., McKenna, B., Cai, W., & Bendz, T. (2020). An affordance perspective of team collaboration and enforced working from home during COVID-19. European Journal of Information Systems, 29(4), 429–442.
Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012). Organizing for innovation in the digitized world. Organization Science, 23(5), 1398–1408.
Zahra, S. A., & Nambisan, S. (2012). Entrepreneurship and strategic thinking in business ecosystems. Business Horizons, 55(3), 219–229
Rizqi, I. N., & Dytihana, Z. A. (2025). The Effectiveness of ASIAP Digital Innovation in the Management of SPPT PBB in Pekanbaru City: DAIGUSI Analysis of Innovation and User Satisfaction. Knowbase : International Journal of Knowledge in Database, 5(1), 01–17. https://doi.org/10.30983/knowbase.v5i1.9453
Shahira, F., & Negara, B. S. (2025). Lung X-Ray Image Classification Using DenseNet-169 and Bayesian Optimization. Knowbase : International Journal of Knowledge in Database, 5(1), 18–27. https://doi.org/10.30983/knowbase.v5i1.9618
Setiawan, A., Antoni Arif Priadi, Abdul Razak Bin Abdul Hadi, & Erwin Faller. (2025). AS Spatiotemporal Analysis of LSCI Variations in ASEAN Using ANOVA and Cluster Techniques (2017–2022). Knowbase : International Journal of Knowledge in Database, 5(1), 28–51. https://doi.org/10.30983/knowbase.v5i1.9583
Wahyuni, R. ., Sakti Wira Adi Utomo, & TB. Muhammad Endra Zhafir Al Ghifari. (2025). Artificial Neural Network Prediction Model for Agricultural Commodity Production Using Backpropagation Algorithm. Knowbase : International Journal of Knowledge in Database, 5(1), 52–68. https://doi.org/10.30983/knowbase.v5i1.9530
Ideal, M. A. vafky, Nurfiah, & Idir Fitriyanto. (2025). Implementation of a K-Means-Based Intelligent Patient Complaint Clustering System to Identify Handling Priorities. Knowbase : International Journal of Knowledge in Database, 5(1), 69–80. https://doi.org/10.30983/knowbase.v5i1.9529
Fakhrezi, M. D., Yusra, Muhammad Fikry, Pizaini, & Suwanto Sanjaya. (2025). End-to-End Text-to-Speech for Minangkabau Pariaman Dialect Using Variational Autoencoder with Adversarial Learning (VITS). Knowbase : International Journal of Knowledge in Database, 5(1), 81–94. https://doi.org/10.30983/knowbase.v5i1.9909
Efandari, A., Hari Antoni Musril, Sarwo Derta, & Muhammad Iqbal Haikal bin Samia’an. (2025). Design of a Decision Support System to Determine Scholarship Recipients at SMKN 2 Padang Panjang . Knowbase : International Journal of Knowledge in Database, 5(1), 95–109. https://doi.or
Alias, N., & Sundari, A. (2024). Named Entity Recognition for Uncovering Clinical and Emotional Entities from Breast Cancer Patient Interviews. Knowbase : International Journal of Knowledge in Database, 5(1), 110–120. Retrieved from https://ejournal.uinbukittinggi.ac.id/i
Habibi, M. I., Nazir, A., Haerani, E., & Budianita, E. (2024). Application of Data Mining for Ceramic Sales Data Association Using Apriori Algorithm. Knowbase : International Journal of Knowledge in Database, 4(2), 105–114. https://doi.org/10.30983/knowbase.v5i2.8757
Syukriyah, Y., & Purnama, A. (2024). Modelling Time Series Data for Stock Prices Prediction Using Bidirectional Long Short-Term Memory. Knowbase : International Journal of Knowledge in Database, 4(2), 115–129. https://doi.org/10.30983/knowbase.v4i2.8759
Sutejo, D., Yudha Adhi Jaya, V. I., & Kacung, S. (2024). Analysis of A Priori Algorithm in Medical Data for Heart Disease Identification with Association Rule Mining. Knowbase : International Journal of Knowledge in Database, 4(2), 131–141. https://doi.org/10.30983/knowbase.v4i2.8909
Prio Pamungkas, R. W., & Rakhmi Khalida. (2024). Business Intelligence Dashboard Human Resource Capacity to Increase the Capacity City of Bekasi. Knowbase : International Journal of Knowledge in Database, 4(2), 142–152. https://doi.org/10.30983/knowbase.v4i2.8764
Kesuma Wardanie, D. P., Kacung, S., Fauzi, C., & Pamudi, P. (2024). Design and Development of an Online Analytical Processing (OLAP) Application for Customer Profiling Analysis of Insurance "X". Knowbase : International Journal of Knowledge in Database, 4(2), 153–167. https://doi.org/10.30983/knowbase.v4i2.8799
Setiadi, D., Sasmita, S., & Mukti, Y. I. (2024). Optimization Of Agricultural Production In South Sumatera Using Multiple Linear Regression Algorithm. Knowbase : International Journal of Knowledge in Database, 4(2), 168–179. https://doi.org/10.30983/knowbase.v4i2.8754
Eka Apriyani, M., Fikri Nur, A., & Setyo Astuti, E. (2024). Performance Comparison of Naïve Bayes and SVM Algorithms in Sentiment Analysis on JKN Application Data. Knowbase : International Journal of Knowledge in Database, 4(2), 180–188. https://doi.org/10.30983/knowbase.v4i2.8758
Galih Hendro Martono, & Neny Sulistianingsih. (2024). Enhancing Stroke Diagnosis with Machine Learning and SHAP-Based Explainable AI Models. Knowbase : International Journal of Knowledge in Database, 4(2), 189–203. https://doi.org/10.30983/knowbase.v4i2.8720
Zahrati, W., La Ode Muh. Rabil Saputra, & Zahra Aqilah Dytihana. (2024). Analysis of Acceptance and Use of the MyKopay Application Using the UTAUT 2 and EUCS Models. Knowbase : International Journal of Knowledge in Database, 4(1), 01–12. https://doi.org/10.30983/knowbase.v4i1.8366
Rina Wahyuni. (2024). Integration of Digital Public Services Mall Application with a Citizen Centric Government Services Approach. Knowbase : International Journal of Knowledge in Database, 4(1), 13–27. https://doi.org/10.30983/knowbase.v4i1.8368
slamet, slamet kacung, Rohmah, F. A., & Edi Prihartono. (2024). Association Rule Mining To Enhance Sata Bottle Sales. Knowbase : International Journal of Knowledge in Database, 4(1), 28–37. https://doi.org/10.30983/knowbase.v4i1.8555
Choiriah, W., Putra Pane, E., Roki Hardianto, & Eva Tri Ningsih. (2024). Prototype Motion Sensor And Automatic Locking Based On The Internet Of Things (IOT): Prototype Motion Sensor And Automatic Locking Based On The Internet Of Things (IOT). Knowbase : International Journal of Knowledge in Database, 4(1), 38–48. https://doi.org/10.30983/knowbase.v4i1.8122
Chan, F. R., Firdaus Annas, Yulifda Elin Yuspita, & Gusnita Darmawati. (2024). Implementation of Convolutional Neural Networks (CNN) in An Emotion Detection System for Measuring Learning Concentration Levels. Knowbase : International Journal of Knowledge in Database, 4(1), 49–61. https://doi.org/10.30983/knowbase.v4i1.8429
Paramita, D., Efriyanti, L., Zakir, S., & Imamuddin, M. (2024). Design of a Predictive Model for Prospective New Students Using Monte Carlo Simulation. Knowbase : International Journal of Knowledge in Database, 4(1), 62–74. https://doi.org/10.30983/knowbase.v4i1.8144
Borotan, N. L., Yuspita, Y. E., Annas, F., & Darmawati, G. (2024). Application of Graph Colouring Algorithm in Course Scheduling Process. Knowbase : International Journal of Knowledge in Database, 4(1), 76–93. https://doi.org/10.30983/knowbase.v4i1.8136
Murlena, M., & Syahindra, W. (2024). Application of the Naïve Bayes Algorithm in Classifying the Reading Interests of Regional Library Visitors. Knowbase : International Journal of Knowledge in Database, 4(1), 94–105. https://doi.org/10.30983/knowbase.v4i1.8680
Kurnia, D., & Maiyana, E. (2023). The Selection of KORPRI Scholarship Recipients Using Sugeno’s Fuzzy Logic. Knowbase : International Journal of Knowledge in Database, 3(2), 116–130. https://doi.org/10.30983/knowbase.v3i2.6585
Khoirullah, K., Supriadi, S., Zakir, S., & Efriyanti, L. (2023). Designing a Student Violation Point System Based on Telegram Using PHP Programming Language. Knowbase : International Journal of Knowledge in Database, 3(2), 131–149. https://doi.org/10.30983/knowbase.v3i2.7192
Lizar, Y., Firrizqi, A. S., Guci, A., & Sunadi, J. (2023). Data Mining Analysis to Predict Student Skills Using Naïve Bayes Method. Knowbase : International Journal of Knowledge in Database, 3(2), 150–159. https://doi.org/10.30983/knowbase.v3i2.7481
Fakhira, I. N., Derta, S., Musril, H. A., & Okra, R. (2023). Design of Internship Student Management Information System with Software Development Life Cycle Approach. Knowbase : International Journal of Knowledge in Database, 3(2), 160–176. https://doi.org/10.30983/knowbase.v3i2.6713
Wahyuni, R. ., Sakti Wira Adi Utomo, & TB. Muhammad Endra Zhafir Al Ghifari. (2025). Artificial Neural Network Prediction Model for Agricultural Commodity Production Using Backpropagation Algorithm. Knowbase : International Journal of Knowledge in Database, 5(1), 52–68. https://doi.org/10.30983/knowbase.v5i1.9530
Ideal, M. A. vafky, Nurfiah, & Idir Fitriyanto. (2025). Implementation of a K-Means-Based Intelligent Patient Complaint Clustering System to Identify Handling Priorities. Knowbase : International Journal of Knowledge in Database, 5(1), 69–80. https://doi.org/10.30983/knowbase.v5i1.9529
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