Institutional Decision-Making Processes and Value Creation in Competitive Industries
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Abstract
Institutional decision-making is a fundamental organizational capability that influences resource allocation, strategic adaptation, innovation, and long-term competitive performance. In increasingly complex business environments, institutions must make decisions under conditions of uncertainty, technological disruption, market volatility, and changing stakeholder expectations. The effectiveness of these decisions depends not only on the quality of available information but also on managerial judgment, organizational structures, human capital, technological capabilities, and governance mechanisms. This paper examines the relationship between institutional decision-making processes and value creation in competitive industries through a conceptual analysis of the 36 references provided.
The study adopts a qualitative, literature-based analytical approach, synthesizing research on rational decision-making, decision-support systems, big data, information technology, competitive advantage, innovation, and organizational management. The analysis considers how institutions identify problems, evaluate alternatives, assess risks, allocate resources, implement strategies, and monitor outcomes. It also explores the complementary roles of technological infrastructure and human capabilities in converting information into actionable decisions. Simon’s (1979) perspective on rational decision-making provides a theoretical foundation, while research on information technology and competitive advantage highlights the importance of aligning technological investments with organizational resources (Powell & Dent-Micallef, 1997).
The analysis indicates that institutional value creation is best understood as a multidimensional process rather than an automatic consequence of adopting new technologies. Data-driven decisions can improve responsiveness and resource utilization, but their benefits depend on data quality, managerial interpretation, implementation capacity, and governance. Similarly, rapid decision-making can support competitiveness but may increase exposure to uncertainty when institutions neglect alternative evaluation and risk assessment. Effective institutional decision-making therefore requires a balanced framework combining analytical evidence, professional judgment, stakeholder considerations, strategic alignment, and continuous performance evaluation.
The paper contributes a conceptual framework connecting decision inputs, analytical processes, organizational capabilities, implementation mechanisms, and value outcomes. Its implications are relevant to business leaders, institutional administrators, strategic planners, and researchers. Because the study relies on supplied literature rather than primary empirical data, its conclusions should be treated as analytical propositions requiring further validation through organizational case studies and quantitative research.
References
Abdeldayem, M., & Aldulaimi, S. ( 2021 ). Entrepreneurial finance and crowdfunding in the Middle East. International Journal of Organizational Analysis, 31 ( 4 ), 927–944.
Abdeldayem, M. M., & Dulaimi, S. H. A. ( 2019 ). Privatisation and financial performance in Egypt since 1991. Asian Economic and Financial Review, 9 ( 4 ), 461.
Abdeldayem, M. M., Al Dulaimi, S. H., & Al Dulaimi, F. H. ( 2021 ). A qualitative approach to evaluate the reconciliation of GOLDX and OneGram in Islamic Finance. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 39 ( 1 ), 113–134.
Ahmed, S. A. ( 2023 ). The Impact of Innovation Management on Customer Satisfaction in the advertising industry in the Kingdom of Bahrain. International Journal of Green Management and Business Studies, 3 ( 1 ), 33–53.
Aldulaimi, S. H. ( 2020 ). Islamic work ethics: multidimensional constructs and scale validation. International Journal of Applied Management Science, 12 ( 3 ), 186–206.
Aldulaimi, S. H., & Abdeldayem, M. M. ( 2022 ). Examining the impact of renewable energy technologies on sustainability development in the middle east and north Africa region. International Journal of Engineering Business Management, 14, 18479790221110835.
Aldulaimi, S. H., Abdeldayem, M. M., Mowafak, B. M., & Abdulaziz, M. M. ( 2021 ). Experimental perspective of artificial intelligence technology in human resources management. Applications of artificial intelligence in business, education and healthcare, 487–511.
Aldulaimi, S., Kharabsheh, R., & Alazzawi, A. ( 2020, October ). Investment in Human Capital to Promote Knowledge-Based Economy: Data Analysis in the GCC. In 2020] International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1–6 ). IEEE.
Al Alkawi, T., & Ali, B. J. ( 2022 ). Electronic Financial Disclosure Level on the Commercial Bank Sector of Bahrain Bourse. International journal of green management and business studies, 1 ( 2 ), 53–61.
Albanki, A. A., Alshawawreh, N. K., Abdeldayem, M. M., & Aldulaimi, S. H. ( 2024, January ). Unravelling the Legal Framework for Cryptocurrency: A Comparative Analysis of Regulatory Approaches. In 2024] ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS ) (pp. 1–6 ). IEEE.
Big data next frontier for innovation, competition and productivity[R]. Mc Kinsey Global Institute, 2011.
Burstein, F., W Holsapple, C., Bennet, A., & Bennet, D. ( 2008 ). The decision-making process in a complex situation. Handbook on decision support systems 1: Basic themes, 3–20.
Dabenport T H, Barth P, Bean R. How Big Data is different[J]. MIT Sloan Management Review, 2012 ( 05 ).
Darwish, S. A. A. D., Ahmed, U. M. A. I. R., & Pahi, M. H. ( 2020 ). Innovative Work Behavior during COVID-19 for Medical Representatives in the Pharmaceutical Industry: Test of a Moderation Model in Bahrain. International Journal of Pharmaceutical Research (09752366), 12 ( 4 ).
Dimkovska, S. ( 2016 ). Adoption of non-programmed decisions in the market uncertainty in the republic of macedonia. MEST Journal, 4 ( 2 ), 41–48.
Feng Zhiyan Several Leading-Edge Subjects in Business Management Research under Big Data Background [J]. Journal of Science of Management. 2013 ( 01 ): 5–7.
He Jun. Analysis of Influence of Big Data on Enterprise Management Decision Making [J]. Scientific and Technological Progress and Countermeasures. 2014 ( 04 ).
Heidegger, M. ( 2009 ). The question concerning technology. Readings in the Philosophy of Technology, 9–24.
Hsu, W. K., Tseng, C. P., Chiang, W. L., & Chen, C. W. ( 2012 ). Risk and uncertainty analysis in the planning stages of a risk decision-making process. Natural hazards, 61, 1355–1365.
Huang Xiaobin, Zhong Huixin. Model Building of Enterprise Competitive Intelligence System Based on Big Data[J]. Intelligence Magazine. 2013 ( 03 ): 42–43.
Jameel, A. S., Karem, M. A., Aldulaimi, S. H., Muttar, A. K., & Ahmad, A. R. ( 2022 ). The acceptance of E-Learning service in a higher education context. In Proceedings of International Conference on Emerging Technologies and Intelligent Systems: ICETIS 2021] (Volume 1 ) (pp. 255–264 ). Springer International Publishing.
Lai, F., Zhao, X., & Wang, Q. ( 2006 ). The impact of information technology on the competitive advantage of logistics firms in China. Industrial Management & Data Systems, 106 ( 9 ), 1249–1271.
Li Guojie. Scientific Value of Big Data Research [J]. Communications of China Computer Federation. 2012 ( 9 ): 8–15.
Li Guojie, Cheng Xueqi. Big Data Research: A Major Strategic Field of Future Development of Technology and Economic Society―Research Status and Scientific Thinking of Big Data [J]. Strategy and Decision-Making Research. 2012 ( 06 ).
Lunenburg, F. C. ( 2010, September ). The decision making process. In National Forum of Educational Administration & Supervision Journal (Vol. 27, No. 4 ).
Michael. P Breen, Andrew Little John, Decision-making: Negociation & Process in practice, Cambridge University Press, 2000, UK, 2000, P: 2.
Mohamed, H. M. ( 2021 ). Green-Economic Constructions Using Composite GFRP Closed Forms. International Journal of Green Management and Business Studies, 1 ( 1 ), 1–14.
Obeidat, M. A. Q., & Aldulaimi, S. H. ( 2016 ). The role of project management information systems towards the project performance the case of construction projects in United Arab Emirates. International Review of Management and Marketing, 6 ( 3 ), 559–568.
Powell, T. C., & Dent-Micallef, A. ( 1997 ). Information technology as competitive advantage: The role of human, business, and technology resources. Strategic management journal, 18 ( 5 ), 375–405.
Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. ( 2002 ). Past, present, and future of decision support technology. Decision support systems, 33 ( 2 ), 111–126.
Simon, H. A. ( 1979 ). Rational decision making in business organizations. The American economic review, 69 ( 4 ), 493–513.
Subramani, M. ( 2004 ). How do suppliers benefit from information technology use in supply chain relationships?. MIS quarterly, 45–73.
Tawafak, R., Romli, A., Malik, S., & Shakir, M. ( 2020 ). IT Governance impact on academic performance development. International Journal of Emerging Technologies in Learning (iJET), 15 ( 18 ), 73–85.
Triantaphyllou, E., & Triantaphyllou, E. ( 2000 ). Multi-criteria decision making methods (pp. 5–21 ). Springer Us.
Vaezipour, A. ( 2014 ). Visualization Tools for Intuitive Decision-Making.
Wang, Y., & Ruhe, G. ( 2007 ). The cognitive process of decision making. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 1 ( 2 ), 73–85.
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