Enhancing strategic decision-making: The role of business intelligence tools and organizational ambidexterity
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DOIhttp://dx.doi.org/10.21511/ppm.22(1).2024.56
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Article InfoVolume 22 2024, Issue #1, pp. 716-727
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The study aims to investigate the influence of business intelligence on decision-making quality, considering organizational ambidexterity as a moderating factor. The sample included a broad group of professionals from the high-technology segment, surveying 450 respondents; 254 valid responses were obtained from senior executives, supervisors, and analysts. These respondents were selected as they had a clear ability for a deeper dive into strategic goals and international expansion strategies, effectiveness in capacities, and daily financial management improvement. The results showed that with the use of business intelligence tools, organizations were in a better position to provide a higher quality of strategic decision-making (p < 0.01) as it helped in the functioning of new opportunities to identify and capitalize, while keeping an eye on the current capabilities. The study underscores that organizational ambidexterity is one of the most dominant causes (p < 0.01) for the effective realization of the benefits of business intelligence. Thus, for effective decision-making, it is crucial for organizations to synergize business intelligence tools with their ambidextrous capabilities. This underscores the significant role of organizational ambidexterity as a moderator and further demonstrates its importance in optimizing the use of business intelligence to improve strategic decision-making processes.
- Keywords
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JEL Classification (Paper profile tab)M10, M12, O32
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References50
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Tables6
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Figures0
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- Table 1. Sample demographics
- Table 2. Descriptive statistics
- Table 3. Measurement model
- Table 4. Discriminant validity
- Table 5. Hypothesis testing
- Table 6. Moderating effect
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- Abousweilem, F., Alzghoul, A., Khaddam, A. A., & Khaddam, L. A. (2023). Revealing the effects of business intelligence tools on technostress and withdrawal behavior: The context of a developing country. Information Development.
- Abu-AlSondos, I. (2023). The impact of business intelligence system (BIS) on quality of strategic decision-making. International Journal of Data and Network Science, 7(4), 1901-1912.
- Ahmad, T., & Akbar, A. (2021). Role of information system strategies, business intelligence and analytics used to enhance firm performance: Mediating role of innovation ambidexterity. Journal of Digitovation and Information System, 1(2), 69-80.
- Ahmed, A., Yusof, S. A. M., & Oroumchian, F. (2019). Understanding the business value creation process for business intelligence tools in the UAE. Pacific Asia Journal of the Association for Information Systems, 11(3), 4.
- Al Ani, M. K., Imran, R., & Al Awaeed, Z. S. (2021). Big data and organizational ambidexterity: A strategic perspective. In N. R. Al Mawali & A. M. Al Lawati (Eds.), Fourth Industrial Revolution and Business Dynamics: Issues and Implications (pp. 3-20). Singapore: Palgrave Macmillan.
- Al Eid, A. A., & Yavuz, U. (2022). The effect of using decision support systems applications and business intelligence systems in making strategic decisions: A field study in the city of Gaziantep. Global Journal of Economics & Business, 12(2), 256-273.
- Alami, R., Elrehail, H., & Alzghoul, A. (2022). Reducing cognitive dissonance in health care: Design of a new Positive psychology intervention tool to regulate professional stress among nurses. 2022 International Conference on Cyber Resilience (ICCR) (pp. 1-8). Dubai, United Arab Emirates.
- Alasiri, M., & Salameh, A. A. (2020). The impact of business intelligence (BI) and decision support systems (DSS): Exploratory study. International Journal of Management, 11(5), 1001-1016.
- Al-Hashimi, K., Weerakkody, V., Elbanna, S., & Schwarz, G. (2022). Strategic decision making and implementation in public organizations in the gulf cooperation council: The role of procedural rationality. Public Administration Review, 82(5), 905-919.
- Alshaar, Q., Khaddam, A. A., Irtaimeh, H. J., & Alzghoul, A. (2023). High-performance work systems and intrapreneurial behavior: The mediating role of knowledge centered culture. Organizacija, 56(3), 206-220.
- Alzghoul, A., Algraibeh, K. M., Khawaldeh, K., Khaddam, A. A., & Al-Kasasbeh, O. (2023). Nexus of strategic thinking, knowledge-oriented leadership, and employee creativity in higher education institutes. International Journal of Professional Business Review, 8(4), e01107-e01107.
- Alzghoul, A., Khaddam, A. A., Abousweilem, F., Irtaimeh, H. J., & Alshaar, Q. (2022). How business intelligence capability impacts decision-making speed, comprehensiveness, and firm performance. Information Development.
- Baghban, A. A., Younespour, S., Jambarsang, S., Yousefi, M., Zayeri, F., & Jalilian, F. A. (2013). How to test normality distribution for a variable: A real example and a simulation study. Archives of Advances in Biosciences, 4(1).
- Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 185-216.
- Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165-1188.
- Eisenhardt, K. M., & Zbaracki, M. J. (1992). Strategic decision making. Strategic Management Journal, 13(S2), 17-37.
- Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153.
- Fitrianingrum, A., Indriastuti, M., Riansyah, A., Basir, A., & Rusdi, D. (2023). Business intelligence: Alternative decision-making solutions on SMEs in Indonesia. In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 500-507). Cham: Springer International Publishing.
- García Joerger, A. (2022). Organizational ambidexterity: Antecedents and consequences. Universitat Jaume I.
- Gibson, C. B., & Birkinshaw, J. (2004). The antecedents, consequences, and mediating role of organizational ambidexterity. Academy of Management Journal, 47(2), 209-226.
- Glaveli, N., Manolitzas, P., Palamas, S., Grigoroudis, E., & Zopounidis, C. (2023). Developing effective strategic decision-making in the areas of hotel quality management and customer satisfaction from online ratings. Current Issues in Tourism, 26(6), 1003-1021.
- Helbin, T., & Van Looy, A. (2019). Business process ambidexterity and its impact on business-it alignment. A systematic literature review. 2019 13th International Conference on Research Challenges in Information Science (RCIS) (pp. 1-12). Brussels, Belgium.
- Husien, W. A., Alhamdany, S. N., & Kataa, I. A. (2020). The mediating role of organizational ambidexterity in the relationship between business intelligence systems and the learning organization exploratory study at the Ramadi’s hospitals. 2020 2nd Annual International Conference on Information and Sciences (AiCIS) (pp. 213-221). Fallujah, Iraq.
- Katebi, P., Ehdaie, S., & Jalilian, H. (2022). Analysis of the effect of competitive intelligence on strategic decision making in small and medium-sized food enterprises. International Journal of Management, Accounting & Economics, 9(6).
- Kowalczyk, M., & Buxmann, P. (2015). An ambidextrous perspective on business intelligence and analytics support in decision processes: Insights from a multiple case study. Decision Support Systems, 80, 1-13.
- Lavie, D., Stettner, U., & Tushman, M. L. (2010). Exploration and exploitation within and across organizations. Academy of Management Annals, 4(1), 109-155.
- Liang, H., Wang, N., & Xue, Y. (2022). Juggling information technology (IT) exploration and exploitation: A proportional balance view of IT ambidexterity. Information Systems Research, 33(4), 1386-1402.
- Maaitah, T. (2023). The role of business intelligence tools in the decision making process and performance. Journal of Intelligence Studies in Business, 13(1), 43-52.
- Maghrabi, R. O., Oakley, R. L., Thambusamy, R., & Iyer, L. (2011). The role of business intelligence (BI) in service innovation: An ambidexterity perspective. AMCIS 2011 Proceedings – All Submissions.
- Mahroof, K. (2019). Exploring the impact of business intelligence (BI) use on organisational power dynamics: A National Health Service (NHS) case study. University of Bradford.
- Marchand, D. A., & Peppard, J. (2013). Why IT fumbles analytics. Harvard Business Review, 91(1), 104-112.
- Mithas, S., Ramasubbu, N., & Sambamurthy, V. (2011). How information management capability influences firm performance. MIS Quarterly, 35(1), 237-256.
- Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725.
- O’Reilly III, C. A., & Tushman, M. L. (2013). Organizational ambidexterity: Past, present, and future. Academy of Management Perspectives, 27(4), 324-338.
- Parra, X., Tort-Martorell, X., Alvarez-Gomez, F., & Ruiz-Viñals, C. (2023). Chronological evolution of the information-driven decision-making process (1950–2020). Journal of the Knowledge Economy, 14(3), 2363-2394.
- Pérez-Campuzano, D., Ortega, P. M., Andrada, L. R., & López-Lázaro, A. (2021). Artificial intelligence potential within airlines: A review on how AI can enhance strategic decision-making in times of COVID-19. Journal of Airline and Airport Management, 11(2), 53-72.
- Ploder, C., Bernsteiner, R., & Dilger, T. (2020). Improving decision quality for business users based on cloud-based self-service business intelligence tools. Cloud Computing and Data Science, 1(1), 1-11.
- Popadiuk, S. (2012). Scale for classifying organizations as explorers, exploiters or ambidextrous. International Journal of Information Management, 32(1), 75-87.
- Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 20, 209-222.
- Saldana, M. A. R. (2021). Exploring the strategies of decision-makers to improve business decisions using business intelligence and analytics tools. Colorado Technical University.
- Shi, Y., Van Toorn, C., & McEwan, M. (2023). Exploration-exploitation: How business analytics powers organisational ambidexterity for environmental sustainability. Information Systems Journal.
- Shollo, A., & Kautz, K. (2010). Towards an understanding of business intelligence. ACIS 2010 Proceedings.
- Simsek, Z., Heavey, C., Veiga, J. F., & Souder, D. (2009). A typology for aligning organizational ambidexterity’s conceptualizations, antecedents, and outcomes. Journal of Management Studies, 46(5), 864-894.
- Tavera Romero, C. A., Ortiz, J. H., Khalaf, O. I., & Ríos Prado, A. (2021). Business intelligence: Business evolution after industry 4.0. Sustainability, 13(18), 10026.
- Turner, N., Swart, J., & Maylor, H. (2013). Mechanisms for managing ambidexterity: A review and research agenda. International Journal of Management Reviews, 15(3), 317-332.
- Wixom, B., & Watson, H. (2010). The BI-based organization. International Journal of Business Intelligence Research (IJBIR), 1(1), 13-28.
- Yeoh, W., & Koronios, A. (2010). Critical success factors for business intelligence systems. Journal of Computer Information Systems, 50(3), 23-32.
- Yerpude, S. (2023). Business intelligence and its impact on decision making. In K. Sood, B. Balusamy, & S. Grima (Eds.), Digital Transformation, Strategic Resilience, Cyber Security and Risk Management (Vol. 111, pp. 209-223). Leeds: Emerald Publishing Limited.
- Zamani, M., Maeen, M., & Haghparast, M. (2017). Implementation of business intelligence to increase the effectiveness of decision making process of managers in companies providing payment services. Journal of Internet Banking and Commerce, 22(S8).
- Zhang, D. (2022). CIO’s roles in building IT-enabled organizational ambidexterity. University of Maryland.