Business intelligence competencies and their impact on organizational ambidexterity
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DOIhttp://dx.doi.org/10.21511/ppm.22(3).2024.05
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Article InfoVolume 22 2024, Issue #3, pp. 55-66
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In Jordan’s banking sector, organizations face the dual challenge of stability and innovation. Achieving this balance requires a deep grasp of leveraging capabilities for existing opportunities and exploring new ones. The key lies at the intersection of business intelligence and organizational ambidexterity. Therefore, this study has investigated the relationship between business intelligence and organizational ambidexterity within the Jordanian banking sector. It examined the impact of managerial, technical, and cultural competencies of business intelligence on organizational ambidexterity in Jordanian commercial banks listed on the Amman Stock Exchange. The quantitative study involved 449 bank employees. The data were gathered via a questionnaire, and the responses were analyzed using R language version 4.2.2. The results indicated that managerial competencies (z = 8.26, p = 0.000) and technical competencies (z = 4.09, p = 0.000) exhibit statistically significant positive direct effects on organizational ambidexterity. Additionally, cultural competencies were found to have a statistically significant direct effect on organizational ambidexterity (z = 2.083, p = 0.037). Managerial, technical, and cultural business intelligence competencies play crucial roles in the adoption of organizational ambidexterity among Jordanian commercial banks. Achieving organizational ambidexterity necessitates integrating these competencies with organizational capabilities.
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JEL Classification (Paper profile tab)M15, O32, O43
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References64
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Tables6
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Figures0
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- Table 1. The number of employees of each bank
- Table 2. Demographic characteristics of participants
- Table 3. Convergent and discriminant validity of the measurement model
- Table 4. HTMT results
- Table 5. Goodness-of-fit for the tested structural model
- Table 6. Hypothesis testing
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- Adamu, M. M., & Onuoha, B. C. (2023). Corporate innovations and organizational ambidexterity of manufacturing firms in Rivers State. International Academy Journal of Management Annals, 8(5), 01-16.
- Al Ani, M. K., & Hussien, M. A. (2018). Enhancing Economic Sustainability: An Empirical Study in Banking and Finance Sector in Oman. IUP Journal of Accounting Research & Audit Practices, 17(2), 51-61.
- Al Dabbas, M. M. N. (2023). Commercial banks’ contribution to expanded investment and credit in Jordan. International Journal of Professional Business Review, 8(4), Article e01832.
- Al Sheikh, M. K. T. H. (2023). Financial technology and its role in achieving economic development in the Hashemite Kingdom of Jordan. American Journal of Sociology, Economics and Tourism, 3, 1-8.
- Al-Maaitah, M. A. (2018). Impact of business intelligence competencies on the organizational capabilities in Jordanian banks. Journal of Computer Science, 14(8), 1144-1154.
- Alsaad, A., Selem, K. M. Alam, Md. M., & Kayed, L. (2022). Linking business intelligence with the performance of new service products: Insight from a dynamic capabilities perspective. Journal of Innovation & Knowledge, 7(4), Article 100262.
- Alsayyed, N. M., & Randall, J. (2023). Feminist emergence in a traditionally male industry: Case from Jordan – The Jordanian banking industry. Administrative Sciences, 13(2), Article 39.
- Alsibhawi, I. A. A., Yahaya, J. B., & Mohamed, H. B. (2023). Business intelligence adoption for small and medium enterprises: Conceptual framework. Applied Sciences, 13(7), Article 4121.
- Arefin, M. S., Hoque, M. R., & Rasul, T. (2021). Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy. Journal of Knowledge Management, 25(3), 573-594.
- Asiaei, K., Bontis, N., Askari, M.R., Yaghoubi, M., & Barani, O. (2023). Knowledge assets, innovation ambidexterity and firm performance in knowledge-intensive companies. Journal of Knowledge Management, 27(8), 2136-2161.
- Aziz, N. A., & Long, F. (2023). Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector. Frontiers in Big Data, 6, Article 1036174.
- Basile, L. J., Carbonara, N., Pellegrino, R., & Panniello, U. (2023). Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making. Technovation, 120, Article 102482.
- Bedford, D. S., Bisbe, J., & Sweeney, B. (2019). Performance measurement systems as generators of cognitive conflict in ambidextrous firms. Accounting, Organizations and Society, 72, 21-37.
- Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
- Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
- Božič, K., & Dimovski, V. (2019). Business intelligence and analytics use, innovation ambidexterity, and firm performance: A dynamic capabilities perspective. The Journal of Strategic Information Systems, 28(4), Article 101578.
- Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258.
- Chamoun, S. (2023). Unleashing the potential of business intelligence & analytics for SMEs in the Netherlands: A comprehensive analysis (Master’s Thesis). University of Twente.
- Clauss, T., Kraus, S., Kallinger, F. L., Bican, P. M., Brem, A., & Kailer, N. (2021). Organizational ambidexterity and competitive advantage: The role of strategic agility in the exploration-exploitation paradox. Journal of Innovation & Knowledge, 6(4), 203-213.
- da Silva, R. R., Larieira, C. L. C., de Souza Meirelles, F., & dos Reis, A. M. P. (2023). Organizational ambidexterity: A path to digital transformation in small and medium enterprises. Cognitionis Scientific Journal, 6(2), 480-504.
- Dey, N., Hassanien, A. E., Bhatt, C., Ashour, A., & Satapathy, S. C. (Eds.). (2018). Internet of Things and big data analytics toward next-generation intelligence (Vol. 35). Berlin: Springer.
- Dranev, Y., Izosimova, A., & Meissner, D. (2020). Organizational ambidexterity and performance: Assessment approaches and empirical evidence. Journal of the Knowledge Economy, 11, 676-691.
- El-Gharib, A. (2022). The role of business intelligence in the private sector in enhancing organizational creativity. Scientific Journal of Commercial and Environmental Studies, 13(2), 421-457.
- Farzaneh, M., Wilden, R., Afshari, L., & Mehralian, G. (2022). Dynamic capabilities and innovation ambidexterity: The roles of intellectual capital and innovation orientation. Journal of Business Research, 148, 47-59.
- Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, 29(3), 430-447.
- Grigorescu, A., Baiasu, D., & Chitescu, R. I. (2020). Business intelligence, the new managerial tool: Opportunities and limits. “Ovidius” University Annals, Economic Sciences Series, 20(1), 651-657.
- Hadi, P. (2023). Improving firm sustainability through dynamic capability: The mediation role of ambidexterity. International Journal of Professional Business Review, 8(5), Article e01511.
- Hair, J. F. Jr, Black, W. C., Babin, B. J., & Anderson, R. E. (2018). Multivariate data analysis. Global edition. Hampshire: Cengage Learning.
- Hiebl, M. R., & Pielsticker, D. I. (2023). Automation, organizational ambidexterity, and the stability of employee relations: New tensions arising between corporate entrepreneurship, innovation management, and stakeholder management. The Journal of Technology Transfer, 48, 1978-2006.
- Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
- Hwang, B. N., Lai, Y. P., & Wang, C. (2023). Open innovation and organizational ambidexterity. European Journal of Innovation Management, 26(3), 862-884.
- Jafari, T., Zarei, A., Azar, A., & Moghaddam, A. (2023). The impact of business intelligence on supply chain performance with emphasis on integration and agility – A mixed research approach. International Journal of Productivity and Performance Management, 72(5), 1445-1478.
- Katou, A. A., Budhwar, P. S., & Patel, C. (2021). A trilogy of organizational ambidexterity: Leader’s social intelligence, employee work engagement, and environmental changes. Journal of Business Research, 128, 688-700.
- Kimble, C., & Milolidakis, G. (2015). Big data and business intelligence: Debunking myths. Global Business and Organizational Excellence, 35(1), 23-34.
- Kline, R. B. (2015). The mediation myth. Basic and Applied Social Psychology, 37(4), 202-213.
- Konrad, A. M., Richard, O. C., & Yang, Y. (2021). Both diversity and meritocracy: Managing the diversity-meritocracy paradox with organizational ambidexterity. Journal of Management Studies, 58(8), 2180-2206.
- Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
- Lopez-Zapata, E., & Ramírez-Gómez, A. D. J. (2023). Intellectual capital, organizational culture and ambidexterity in Colombian firms. Journal of Intellectual Capital, 24(2), 375-398.
- Maletič, M., Maletič, D., Dahlgaard, J. J., Dahlgaard-Park, S. M., & Gomišček, B. (2014). Sustainability exploration and sustainability exploitation: From a literature review towards a conceptual framework. Journal of Cleaner Production, 79, 182-194.
- Nawaz, M., Hameed, W. U., & Bhatti, M. I. (2023). Integrating business and market intelligence to expedite service responsiveness: Evidence from Malaysia. Quality & Quantity, 58, 1303-1324.
- Ngammoh, N., Mumi, A., Popaitoon, S., & Issarapaibool, A. (2023). Enabling social media as a strategic capability for SMEs through organizational ambidexterity. Journal of Small Business & Entrepreneurship, 35(2), 197-217.
- 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), Article 102725.
- Nobakht, M., Hejazi, S. R., Akbari, M., & Sakhdari, K. (2021). Exploring the relationship between open innovation and organizational ambidexterity: The moderating effect of entrepreneurial orientation. Innovation, 23(1), 71-92.
- Nuesir, T. A., Aljumah, & Alshurideh, M. T. (2021). How the business intelligence in the new startup performance in UAE during COVID-19: The mediating role of innovativeness. In M. Alshurideh, A. E. Hassanien, & R. Masa’deh (Eds.), The Effect of Coronavirus Disease (COVID-19) on Business Intelligence, Studies in Systems, Decision and Control (vol. 334). Springer.
- Nurdin, A. A., Salmi, G. N., Sentosa, K., Wijayanti, A. R., & Prasetya, A. (2023). Utilization of business intelligence in sales information systems. Journal of Information System Exploration and Research, 1(1), 39-48.
- Obidat, A., Alziyadat, Z., & Alabaddi, Z. (2023). Assessing the effect of business intelligence on supply chain agility. A perspective from the Jordanian manufacturing sector. Uncertain Supply Chain Management, 11(1), 61-70.
- Olszak, C. M. (2014). Towards an understanding of business intelligence. A dynamic capability-based framework for business intelligence. 2014 Federated conference on computer science and information systems (pp. 1103-1110).
- Park, Y., Pavlou, P. A., & Saraf, N. (2020). Configurations for achieving organizational ambidexterity with digitization. Information Systems Research, 31(4), 1376-1397.
- Petrini, M., & Pozzebon, M. (2009). What role is “business intelligence” playing in developing countries? A picture of Brazilian companies. In H. Rahman (Ed.), Data mining applications for empowering knowledge societies (pp. 239-259). IGI Global.
- Ram, J., Zhang, Ch., & Koronios, A. (2016). The implications of big data analytics on business intelligence: A qualitative study in China. Procedia Computer Science, 87, 221-226.
- Saleh, R. H., Durugbo, C. M., & Almahamid, S. M. (2023). What makes innovation ambidexterity manageable: A systematic review, multi-level model and future challenges. Review of Managerial Science, 17, 3013-3056.
- Sangari, M. S., & Razmi, J. (2015). Business intelligence competence, agile capabilities, and agile performance in supply chain: An empirical study. The International Journal of Logistics Management, 26(2), 356-380.
- Seguer, Z. S., & Hasna, A. M. (2022). Business intelligence as a challenge for the managerial function: Case study on managerial decision making in Algerian companies. Business Ethics and Leadership, 6(3), 35-46.
- Sekaran, U., & Bougie, R. (2009). Research methods for business: A skill-building approach (5th ed.). John Willey & Sons Ltd.
- Shi, Y., Van Toorn, C., & McEwan, M. (2024). Exploration–exploitation: How business analytics powers organizational ambidexterity for environmental sustainability. Information Systems Journal, 34(3), 894-930.
- Skyrius, R., Katin, I., Kazimianec, M., Nemitko, S., Rumšas, G., & Žilinskas, R (2016). Factors driving business intelligence culture. Issues in Informing Science and Information Technology, 13, 171-186.
- Smara, R., & Bogatyreva, K. A. (2023). Moving to ambidextrous organization: A systematic literature review. Vestnik of Saint Petersburg University. Management, 22(2), 191-225.
- 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), Article 10026.
- Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature Medicine, 26(4), 459-461.
- Trieu, H. D., Van Nguyen, P., Nguyen, T. T., Vu, H. M., & Tran, K. (2023). Information technology capabilities and organizational ambidexterity facilitating organizational resilience and firm performance of SMEs. Asia Pacific Management Review, 28(4), 544-555.
- Yang, M., Sulaiman, R., Yin, Y., Mallamaci, V., & Alrabaiah, H. (2022). The effect of business intelligence, organizational learning, and innovation on the financial performance of innovative companies located in science park. Information Processing & Management, 59(2), Article 102852.
- Yunita, T., Sasmoko, S., Bandur, A., & Alamsjah, F. (2023). Technological capacity and organizational culture: The importance of organizational ambidexterity in the banking sector. International Journal of Professional Business Review, 8(5), Article e01479.
- Zhang, J. A., Chen, G., O’Kane, C., Xiang, S., & Wang, J. (2022). How employee exploration and exploitation affect task performance: The influence of organizational competitive orientation. The International Journal of Human Resource Management, 33(5), 930-964.
- Zhang, Q., & Sun, X. (2023). How incentive synergy and organizational structures shape innovation ambidexterity. Journal of Knowledge Management, 27(1), 156-177.