How to cite this paper
Mbaidin, H. (2024). The dynamic role of business intelligence in developing effective planning strategies through analyzing data as an influential variable: Case of engineering the pharmaceutical sector in Jordan.Uncertain Supply Chain Management, 12(2), 1189-1204.
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Abedi, S., Kwon, S., & Yoon, S. W. (2023). Healthcare and Pharmaceutical Supply Chain Automation. In Springer Handbook of Automation (pp. 1289-1308). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-96729-1_60
Abu-AlSondos, I. A. (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. https://doi.org/10.5267/j.ijdns.2023.7.003
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0. Sustainability, 12(7), 2632. https://doi.org/10.3390/su12072632
Ajah, I. A., & Nweke, H. F. (2019). Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications. Big Data and Cognitive Computing, 3(2), 32. https://doi.org/10.3390/bdcc3020032
Alabaddi, Z. A., Rahahleh, A. H., Alali, H. A. I. T. H. A. M., Muflih, M. A., & Sana'a, N. A. N. (2020). The relative importance of the critical success factors of business intelligence (BI) systems implementation in Jordanian pharmaceutical companies. Journal of Theoretical and Applied Information Technology, 98(12), 2132-2147.
Alasiri, M. M., & Salameh, A. A. (2020). The Impact of Business Intelligence (BI) and Decision Support Systems (DSS): Exploratory Study. International Journal of Management, 11(15), 1001–1016. https://ssrn.com/abstract=3631747
Ali, A. f., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. A. (2022). Artificial intelligence’s potential on Bahrain’s labour market. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 430–436). IEEE. https://doi.org/10.1109/ICETSIS55481.2022.9888902
Almazmomi, N., Ilmudeen, A., & Qaffas, A. A. (2022). The impact of business analytics capability on data-driven culture and exploration: Achieving a competitive advantage. Benchmarking: An International Journal, 29(4), 1264–1283. https://doi.org/10.1108/BIJ-01-2021-0021
Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: An enterprise-level analysis. Business Process Management Journal, 29(3), 777–800. https://doi.org/10.1108/BPMJ-10-2022-0546
Altahrawi, M. H., Almarshad, M. N., Al-qaryouti, M. H., & Al-habash, M. A. (2021). Impact of Business Intelligence Capabilities on Competitive Performance of pharmaceutical manufacturing companies in Jordan. International Journal of Business Innovation and Research, Article 10041557. Advance online publication. https://doi.org/10.1504/IJBIR.2021.10041557
Aziz, M. N. (2020). The Impact and Power of Business Intelligence (BI) on the Decision-making Process in Uppsala University: A Case Study. International Journal of Science and Business, 4(6), 78–87. https://ideas.repec.org/a/aif/journl/v4y2020i6p78-87.html
Balachandran, B. M., & Prasad, S. (2017). Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence. Procedia Computer Science, 112, 1112–1122. https://doi.org/10.1016/j.procs.2017.08.138
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, 102482. https://doi.org/10.1016/j.technovation.2022.102482
Batra, D. (2018). Agile values or plan-driven aspects: Which factor contributes more toward the success of data warehousing, business intelligence, and analytics project development? Journal of Systems and Software, 146, 249–262. https://doi.org/10.1016/j.jss.2018.09.081
Bharadiya, J. P. (2023). Machine Learning and AI in Business Intelligence: Trends and Opportunities. International Journal of Computer (IJC), 48(1), 123–134. https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2087
Bhatiasevi, V., & Naglis, M. (2020). Elucidating the determinants of business intelligence adoption and organizational performance. Information development, 36(1), 78-96. https://doi.org/10.1177/0266666918811394
Bivona-Tellez, C. (2017). Business Intelligence Competencies: Making Healthcare Data Come Alive. Doctor of Nursing Practice (DNP) Projects. 102. https://repository.usfca.edu/dnp/102
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), 101578. https://doi.org/10.1016/j.jsis.2019.101578
Candra, S., & Nainggolan, A. (2022). Understanding Business Intelligence and Analytics System Success from Various Business Sectors in Indonesia. CommIT (Communication and Information Technology) Journal, 16(1), 37-52. https://doi.org/10.21512/commit.v16i1.7849
Carlsson, C., & Walden, P. (2021). Decision Support Systems: Historical Innovations and Modern Technology Challenges. In J. Papathanasiou, P. Zaraté, & J. Freire de Sousa (Eds.), EURO Working Group on DSS (pp. 1–14). Springer, Cham. https://doi.org/10.1007/978-3-030-70377-6_1
Caseiro, N., & Coelho, A. (2019). The influence of Business Intelligence capacity, network learning and innovativeness on startups performance. Journal of Innovation & Knowledge, 4(3), 139–145. https://doi.org/10.1016/j.jik.2018.03.009
Chaudhry, U. B., & Chaudhry, M. A. (2023, January). Harnessing big data for business innovation and effective business decision making. In Cybersecurity in the Age of Smart Societies: Proceedings of the 14th International Conference on Global Security, Safety and Sustainability, London, September 2022 (pp. 47-60). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-20160-8_4
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232. https://doi.org/10.1016/j.ijinfomgt.2020.102232
Combita Niño, H. A., Cómbita Niño, J. P., & Morales Ortega, R. (2020). Business intelligence governance framework in a university: Universidad de la costa case study. International Journal of Information Management, 50, 405–412. https://doi.org/10.1016/j.ijinfomgt.2018.11.012
Côrte-Real, N., Ruivo, P., & Oliveira, T. (2020). Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?. Information & Management, 57(1), 103141. https://doi.org/10.1016/j.im.2019.01.003
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1–25. https://doi.org/10.1186/s40537-019-0217-0
Del Rio-Bermudez, C., Medrano, I. H., Yebes, L., & Poveda, J. L. (2020). Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy. Journal of Pharmaceutical Policy and Practice, 13(1), 75. https://doi.org/10.1186/s40545-020-00276-6
Delen, D., Moscato, G., & Toma, I. L. (2018). The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. In 2018 International conference on information management and processing: [conference proceedings] (pp. 49–53). IEEE. https://doi.org/10.1109/ICIMP1.2018.8325840
Doshi, R., Hiran, K. K., Mijwil, M. M., & Anand, D. To That of Artificial Intelligence, Passing Through Business Intelligence. In Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (pp. 1–16). IGI Global. https://doi.org/10.4018/978-1-6684-6519-6.ch001
Duggal, P. S., & Paul, S. (2013). Big Data Analysis: Challenges and Solutions. In International Conference on Cloud, Big Data and Trust 2013, Nov 13-15, RGPV, RGPV.
Fan, W., & Bifet, A. (2013). Mining big data. ACM SIGKDD Explorations Newsletter, 14(2), 1–5. https://doi.org/10.1145/2481244.2481246
Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 38(2), 202–229. https://doi.org/10.1177/02683962221114394
Finelli, L. A., & Narasimhan, V. (2020). Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development. Clinical Pharmacology & Therapeutics, 108(4), 756–761. https://doi.org/10.1002/cpt.1850
Galetsi, P., Katsaliaki, K., & Kumar, S. (2020). Big data analytics in health sector: Theoretical framework, techniques and prospects. International Journal of Information Management, 50, 206–216. https://doi.org/10.1016/j.ijinfomgt.2019.05.003
Gauzelin, S., & Bentz, H. (2017). An examination of the impact of business intelligence systems on organizational decision making and performance: The case of France. Journal of Intelligence Studies in Business, 7(2). https://doi.org/10.37380/jisib.v7i2.238
Gungoren, M. S. (2023). Crossing the chasm: strategies for digital transformation in clinical laboratories. Clinical Chemistry and Laboratory Medicine (CCLM), 61(4), 570-575. https://doi.org/10.1515/cclm-2022-1229
Gurcan, F., Ayaz, A., Menekse Dalveren, G. G., & Derawi, M. (2023). Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning. Sustainability, 15(13), 9854. https://doi.org/10.3390/su15139854
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING(PLS-SEM) USING R: A. SPRINGER NATURE. https://doi.org/10.1007/978-3-030-80519-7
Hamad, F., Al-Aamr, R., Jabbar, S. A., & Fakhuri, H. (2021). Business intelligence in academic libraries in Jordan: Opportunities and challenges. IFLA Journal, 47(1), 37–50. https://doi.org/10.1177/0340035220931882
Handfield, R., Jeong, S., & Choi, T. (2019). Emerging procurement technology: data analytics and cognitive analytics. International journal of physical distribution & logistics management, 49(10), 972-1002.
https://doi.org/10.1108/IJPDLM-11-2017-0348
Hani, I. B. (2020). Self-Service Business Analytics and the Path to Insights: Integrating Resources for Generating Insights [Doctoral Thesis, Lund University School of Economics and Management]. portal.research.lu.se. https://portal.research.lu.se/en/publications/self-service-business-analytics-and-the-path-to-insights-integrat
Hasan, M. M., Popp, J., & Oláh, J. (2020). Current landscape and influence of big data on finance. Journal of Big Data, 7(1), 1–17. https://doi.org/10.1186/s40537-020-00291-z
Jameel, F., Memon, F., Shaikh, P., & Memon, N. A. (2017). Implementing a business intelligence environment in local market of Pakistan. Mehran University Research Journal of Engineering & Technology, 36(2), 333-342. https://search.informit.org/doi/10.3316/informit.912585477072797
Kalathas, I., Papoutsidakis, M., & Drosos, C. (2021). Business Intelligence and Machine Learning Methods for Predictive Maintenance in Greek railways. Open Journal of Applied Sciences, 11(01), 20–35. https://doi.org/10.4236/ojapps.2021.111A003
Kale, V. (2017). Enterprise performance intelligence and decision patterns. Auerbach. https://www.taylorfrancis.com/books/mono/10.4324/9781351228428/enterprise-performance-intelligence-decision-patterns-vivek-kale https://doi.org/10.4324/9781351228428
Katuu, S. (2021). Trends in the Enterprise Resource Planning Market Landscape. Journal of Information and Organizational Sciences, 45(1), 55–75. https://doi.org/10.31341/jios.45.1.4
Ketolainen, A. (2023). Performance measuring and management in pharmaceutical industry [Master’s thesis, Lahti University of Technology]. lutpub.lut.fi. https://lutpub.lut.fi/handle/10024/166456
Khalin, V., & Chernova, G. (2018). Digitalization and Its Impact on the Russian Economy and Society: Advantages, Challenges, Threats and Risks. Administrative Consulting(10), 46–63. https://doi.org/10.22394/1726-1139-2018-10-46-63
Khder, M. A., Abu-AlSondos, I. A., & Bahar, I. Y. (2021). The Impact of Implementing Data Mining in Business Intelligence. International Journal of Entrepreneurship, 25(4S), 1–7. https://www.abacademies.org/articles/the-impact-of-implementing-data-mining-in-business-intelligence-11473.html
Kilanko, V. (2022). Turning Point: Policymaking in the Era of Artificial Intelligence, by Darrell M.West and John R.Allen, Washington, DC: Brookings Institution Press, 2020, 297 pp., hardcover $24.99, paperback $19.99. Journal of Policy Analysis and Management, 41(2), 650–653. https://doi.org/10.1002/pam.22374
Kombo-Pinda-Loubondo, M.‑G.‑E. (2022). Digitalization and its influence on international economic relations on the base of the Walt Disney Company: Digitalization and its influence on international economic relations on the base of the Walt Disney Company [Bachelor thesis, Ukrainian-American Concordia University]. elib.uacu.edu.ua. http://elib.uacu.edu.ua/xmlui/handle/123456789/31
Krishnababu, K., Kulkarni, G. S., R, Y., & Paarakh, P. M. (2023). June-July 2023. Journal of Artificial Intelligence, Machine Learning and Neural Network(34), 26–37. https://doi.org/10.55529/jaimlnn.34.26.37
Kulkarni, U., Robles-Flores, J., & Popovič, A. (2017). Business Intelligence Capability: The Effect of Top Management and the Mediating Roles of User Participation and Analytical Decision Making Orientation. Journal of the Association for Information Systems, 18(7), 516–541. https://doi.org/10.17705/1jais.00462
Kulkov, I. (2021). The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society, 66, 101629. https://doi.org/10.1016/j.techsoc.2021.101629
Kumar, G. (2023). Optimizing pharmaceutical supply chain with digital technologies. International Journal of Science and Research Archive, 9(2), 727-731. https://doi.org/10.30574/ijsra.2023.9.2.0666
Kunc, M., & O’brien, F. A. (2019). The role of business analytics in supporting strategy processes: Opportunities and limitations. Journal of the Operational Research Society, 70(6), 974-985. https://doi.org/10.1080/01605682.2018.1475104
Mbaidin, H. (2024). E-learning's influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables. International Journal of Data and Network Science, 8(1), 609-616. DOI: 10.5267/j.ijdns.2023.8.024
Mbaidin, H., Alomari, K., AlMubydeen, I., & Sbaee, N. (2024). The critical success factors (CSF) of blockchain technology effecting excel performance of banking sector: Case of UAE Islamic Banks. International Journal of Data and Network Science, 8(1), 289-306. DOI: 10.5267/j.ijdns.2023.9.024
Mbaidin, H. O., Alsmairat, M. A., & Al-Adaileh, R. (2023). Blockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector. International Journal of Information Management Data Insights, 3(2), 100199. https://doi.org/10.1016/j.jjimei.2023.100199
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; Faculty of Management, Law and Social Sciences]. bradscholars.brad.ac.uk. https://bradscholars.brad.ac.uk/handle/10454/17460
Mehrotra, P. (2019). Applications of Artificial Intelligence in the Realm of Business Intelligence. In J. Darmont & S. Loudcher (Eds.), Advances in Business Information Systems and Analytics. Utilizing big data paradigms for business intelligence (pp. 1–38). IGI Global Business Science Reference. https://doi.org/10.4018/978-1-5225-4963-5.ch001
Moflih, M., Alabaddi, Z., Rahahleh, A., Alali, H., & Alnsour, S. (2020). The Relative Importance Of The Critical Success Factors Of Business Intelligence(Bi) Systems Implementation In Jordanian Pharmaceutical Companies. Journal of Theoretical and Applied Information Technology, 98, 12.
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. https://doi.org/10.1016/j.ipm.2021.102725
Orji, U., Obianuju, E., Ezema, M., Ugwuishiwu, C., Ukwandu, E., & Agomuo, U. (2023). Using Data Analytics to Derive Business Intelligence: A Case Study. Cornell University. https://arxiv.org/pdf/2305.19021.pdf https://doi.org/10.48550/arXiv.2305.19021
Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021). Artificial intelligence in drug discovery and development. Drug Discovery Today, 26(1), 80–93. https://doi.org/10.1016/j.drudis.2020.10.010
Pranjić, G. (2018). Decision making process in the business intelligence 3.0 context. Ekonomska misao i praksa, 27(2), 603-619. https://hrcak.srce.hr/213321
Ranjan, J., & Foropon, C. (2021). Big Data Analytics in Building the Competitive Intelligence of Organizations. International Journal of Information Management, 56, 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231
Rawat, R [R.], & Yadav, R. (2021). Big data: Big Data Analysis, Issues and Challenges and Technologies. IOP Conference Series: Materials Science and Engineering, 1022(012014). https://doi.org/10.1088/1757-899X/1022/1/012014
Reddy, S., & Suneetha, C. (2021). A review of data warehouses multidimensional model and data mining. Information Technology in Industry, 9(3), 310–320. http://it-in-industry.org/index.php/itii/article/view/532
Rehman, A., Naz, S., & Razzak, I. (2022). Leveraging big data analytics in healthcare enhancement: Trends, challenges and opportunities. Multimedia Systems, 28(4), 1339–1371. https://doi.org/10.1007/s00530-020-00736-8
Renaldo, N., Suyono, Andi, Putri, N. Y., & Cecilia (2023). How Business Intelligence, Intellectual Capital, and Company Performance Increase Company Value? Leverage as Moderation. Journal of Applied Business and Technology, 4(1), 93–99. https://doi.org/10.35145/jabt.v4i1.123
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis. Journal of Computer Information Systems, 59(2), 188–196. https://doi.org/10.1080/08874417.2017.1334244
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37–58. https://doi.org/10.1016/j.accinf.2018.03.001
Ronolo, S. C. (2023). Assuring Data Integrity towards Regulatory Compliance: A Study on Process Improvement in Data Integrity Compliance of Computerized Systems [Master’s Degree, Metropolia University of Applied Sciences]. www.theseus.fi. https://www.theseus.fi/handle/10024/799599?show=full
Sarkar, D, R. (2023). Pharma software - a complete overview. International Journal of Science & Healthcare Research. 2023; 8(2): 166-177. DOI: https://doi.org/10.52403/ijshr.20230220
Seddon, P. B., Constantinidis, D., Tamm, T., & Dod, H. (2017). How does business analytics contribute to business value? Information Systems Journal, 27(3), 237–269. https://doi.org/10.1111/isj.12101
Shafi, M., Liu, J., & Ren, W. (2020). Impact of COVID-19 pandemic on micro, small, and medium-sized Enterprises operating in Pakistan. Research in Globalization, 2, 100018. https://doi.org/10.1016/j.resglo.2020.100018
Srivastava, G., S, M., Venkataraman, R., V, K., & N, P. (2022). A review of the state of the art in business intelligence software. Enterprise Information Systems, 16(1), 1–28. https://doi.org/10.1080/17517575.2021.1872107
Tripathi, A., Bagga, T., & Aggarwal, R. K. (2020). Strategic Impact of Business Intelligence : A Review of Literature. Prabandhan: Indian Journal of Management, 13(3), 35. https://doi.org/10.17010/pijom/2020/v13i3/151175
Tunowski, R. (2020). Sustainability of Commercial Banks Supported by Business Intelligence System. Sustainability, 12(11), 4754. https://doi.org/10.3390/su12114754
Velu, A. (2021). Influence of business intelligence and analytics on business value. International Engineering Journal for Research & Development, 6(1), 9. https://doi.org/10.17605/OSF.IO/SZVPN
Vora, L. K., Gholap, A. D., Jetha, K., Thakur, R. R. S., Solanki, H. K., & Chavda, V. P. (2023). Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design. Pharmaceutics, 15(7), 1916. https://doi.org/10.3390/pharmaceutics15071916
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological forecasting and social change, 126, 3-13.
https://doi.org/10.1016/j.techfore.2015.12.019
Yiu, L. M. D., Yeung, A. C. L., & Cheng, T. C. E. (2021). The impact of business intelligence systems on profitability and risks of firms. International Journal of Production Research, 59(13), 3951–3974. https://doi.org/10.1080/00207543.2020.1756506
Yiu, L. D., Yeung, A. C., & Jong, A. P. (2020). Business intelligence systems and operational capability: an empirical analysis of high-tech sectors. Industrial Management & Data Systems, 120(6), 1195-1215.
https://doi.org/10.1108/IMDS-12-2019-0659
Zhan, Y., Han, R., Tse, M., Ali, M. H., & Hu, J. (2021). A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry. Technological Forecasting and Social Change, 163, 120504. https://doi.org/10.1016/j.techfore.2020.120504
Abu-AlSondos, I. A. (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. https://doi.org/10.5267/j.ijdns.2023.7.003
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2020). Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0. Sustainability, 12(7), 2632. https://doi.org/10.3390/su12072632
Ajah, I. A., & Nweke, H. F. (2019). Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications. Big Data and Cognitive Computing, 3(2), 32. https://doi.org/10.3390/bdcc3020032
Alabaddi, Z. A., Rahahleh, A. H., Alali, H. A. I. T. H. A. M., Muflih, M. A., & Sana'a, N. A. N. (2020). The relative importance of the critical success factors of business intelligence (BI) systems implementation in Jordanian pharmaceutical companies. Journal of Theoretical and Applied Information Technology, 98(12), 2132-2147.
Alasiri, M. M., & Salameh, A. A. (2020). The Impact of Business Intelligence (BI) and Decision Support Systems (DSS): Exploratory Study. International Journal of Management, 11(15), 1001–1016. https://ssrn.com/abstract=3631747
Ali, A. f., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. A. (2022). Artificial intelligence’s potential on Bahrain’s labour market. In 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 430–436). IEEE. https://doi.org/10.1109/ICETSIS55481.2022.9888902
Almazmomi, N., Ilmudeen, A., & Qaffas, A. A. (2022). The impact of business analytics capability on data-driven culture and exploration: Achieving a competitive advantage. Benchmarking: An International Journal, 29(4), 1264–1283. https://doi.org/10.1108/BIJ-01-2021-0021
Al-Okaily, A., Teoh, A. P., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: An enterprise-level analysis. Business Process Management Journal, 29(3), 777–800. https://doi.org/10.1108/BPMJ-10-2022-0546
Altahrawi, M. H., Almarshad, M. N., Al-qaryouti, M. H., & Al-habash, M. A. (2021). Impact of Business Intelligence Capabilities on Competitive Performance of pharmaceutical manufacturing companies in Jordan. International Journal of Business Innovation and Research, Article 10041557. Advance online publication. https://doi.org/10.1504/IJBIR.2021.10041557
Aziz, M. N. (2020). The Impact and Power of Business Intelligence (BI) on the Decision-making Process in Uppsala University: A Case Study. International Journal of Science and Business, 4(6), 78–87. https://ideas.repec.org/a/aif/journl/v4y2020i6p78-87.html
Balachandran, B. M., & Prasad, S. (2017). Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence. Procedia Computer Science, 112, 1112–1122. https://doi.org/10.1016/j.procs.2017.08.138
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, 102482. https://doi.org/10.1016/j.technovation.2022.102482
Batra, D. (2018). Agile values or plan-driven aspects: Which factor contributes more toward the success of data warehousing, business intelligence, and analytics project development? Journal of Systems and Software, 146, 249–262. https://doi.org/10.1016/j.jss.2018.09.081
Bharadiya, J. P. (2023). Machine Learning and AI in Business Intelligence: Trends and Opportunities. International Journal of Computer (IJC), 48(1), 123–134. https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/2087
Bhatiasevi, V., & Naglis, M. (2020). Elucidating the determinants of business intelligence adoption and organizational performance. Information development, 36(1), 78-96. https://doi.org/10.1177/0266666918811394
Bivona-Tellez, C. (2017). Business Intelligence Competencies: Making Healthcare Data Come Alive. Doctor of Nursing Practice (DNP) Projects. 102. https://repository.usfca.edu/dnp/102
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), 101578. https://doi.org/10.1016/j.jsis.2019.101578
Candra, S., & Nainggolan, A. (2022). Understanding Business Intelligence and Analytics System Success from Various Business Sectors in Indonesia. CommIT (Communication and Information Technology) Journal, 16(1), 37-52. https://doi.org/10.21512/commit.v16i1.7849
Carlsson, C., & Walden, P. (2021). Decision Support Systems: Historical Innovations and Modern Technology Challenges. In J. Papathanasiou, P. Zaraté, & J. Freire de Sousa (Eds.), EURO Working Group on DSS (pp. 1–14). Springer, Cham. https://doi.org/10.1007/978-3-030-70377-6_1
Caseiro, N., & Coelho, A. (2019). The influence of Business Intelligence capacity, network learning and innovativeness on startups performance. Journal of Innovation & Knowledge, 4(3), 139–145. https://doi.org/10.1016/j.jik.2018.03.009
Chaudhry, U. B., & Chaudhry, M. A. (2023, January). Harnessing big data for business innovation and effective business decision making. In Cybersecurity in the Age of Smart Societies: Proceedings of the 14th International Conference on Global Security, Safety and Sustainability, London, September 2022 (pp. 47-60). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-20160-8_4
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 57, 102232. https://doi.org/10.1016/j.ijinfomgt.2020.102232
Combita Niño, H. A., Cómbita Niño, J. P., & Morales Ortega, R. (2020). Business intelligence governance framework in a university: Universidad de la costa case study. International Journal of Information Management, 50, 405–412. https://doi.org/10.1016/j.ijinfomgt.2018.11.012
Côrte-Real, N., Ruivo, P., & Oliveira, T. (2020). Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?. Information & Management, 57(1), 103141. https://doi.org/10.1016/j.im.2019.01.003
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1–25. https://doi.org/10.1186/s40537-019-0217-0
Del Rio-Bermudez, C., Medrano, I. H., Yebes, L., & Poveda, J. L. (2020). Towards a symbiotic relationship between big data, artificial intelligence, and hospital pharmacy. Journal of Pharmaceutical Policy and Practice, 13(1), 75. https://doi.org/10.1186/s40545-020-00276-6
Delen, D., Moscato, G., & Toma, I. L. (2018). The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers. In 2018 International conference on information management and processing: [conference proceedings] (pp. 49–53). IEEE. https://doi.org/10.1109/ICIMP1.2018.8325840
Doshi, R., Hiran, K. K., Mijwil, M. M., & Anand, D. To That of Artificial Intelligence, Passing Through Business Intelligence. In Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence (pp. 1–16). IGI Global. https://doi.org/10.4018/978-1-6684-6519-6.ch001
Duggal, P. S., & Paul, S. (2013). Big Data Analysis: Challenges and Solutions. In International Conference on Cloud, Big Data and Trust 2013, Nov 13-15, RGPV, RGPV.
Fan, W., & Bifet, A. (2013). Mining big data. ACM SIGKDD Explorations Newsletter, 14(2), 1–5. https://doi.org/10.1145/2481244.2481246
Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 38(2), 202–229. https://doi.org/10.1177/02683962221114394
Finelli, L. A., & Narasimhan, V. (2020). Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development. Clinical Pharmacology & Therapeutics, 108(4), 756–761. https://doi.org/10.1002/cpt.1850
Galetsi, P., Katsaliaki, K., & Kumar, S. (2020). Big data analytics in health sector: Theoretical framework, techniques and prospects. International Journal of Information Management, 50, 206–216. https://doi.org/10.1016/j.ijinfomgt.2019.05.003
Gauzelin, S., & Bentz, H. (2017). An examination of the impact of business intelligence systems on organizational decision making and performance: The case of France. Journal of Intelligence Studies in Business, 7(2). https://doi.org/10.37380/jisib.v7i2.238
Gungoren, M. S. (2023). Crossing the chasm: strategies for digital transformation in clinical laboratories. Clinical Chemistry and Laboratory Medicine (CCLM), 61(4), 570-575. https://doi.org/10.1515/cclm-2022-1229
Gurcan, F., Ayaz, A., Menekse Dalveren, G. G., & Derawi, M. (2023). Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning. Sustainability, 15(13), 9854. https://doi.org/10.3390/su15139854
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING(PLS-SEM) USING R: A. SPRINGER NATURE. https://doi.org/10.1007/978-3-030-80519-7
Hamad, F., Al-Aamr, R., Jabbar, S. A., & Fakhuri, H. (2021). Business intelligence in academic libraries in Jordan: Opportunities and challenges. IFLA Journal, 47(1), 37–50. https://doi.org/10.1177/0340035220931882
Handfield, R., Jeong, S., & Choi, T. (2019). Emerging procurement technology: data analytics and cognitive analytics. International journal of physical distribution & logistics management, 49(10), 972-1002.
https://doi.org/10.1108/IJPDLM-11-2017-0348
Hani, I. B. (2020). Self-Service Business Analytics and the Path to Insights: Integrating Resources for Generating Insights [Doctoral Thesis, Lund University School of Economics and Management]. portal.research.lu.se. https://portal.research.lu.se/en/publications/self-service-business-analytics-and-the-path-to-insights-integrat
Hasan, M. M., Popp, J., & Oláh, J. (2020). Current landscape and influence of big data on finance. Journal of Big Data, 7(1), 1–17. https://doi.org/10.1186/s40537-020-00291-z
Jameel, F., Memon, F., Shaikh, P., & Memon, N. A. (2017). Implementing a business intelligence environment in local market of Pakistan. Mehran University Research Journal of Engineering & Technology, 36(2), 333-342. https://search.informit.org/doi/10.3316/informit.912585477072797
Kalathas, I., Papoutsidakis, M., & Drosos, C. (2021). Business Intelligence and Machine Learning Methods for Predictive Maintenance in Greek railways. Open Journal of Applied Sciences, 11(01), 20–35. https://doi.org/10.4236/ojapps.2021.111A003
Kale, V. (2017). Enterprise performance intelligence and decision patterns. Auerbach. https://www.taylorfrancis.com/books/mono/10.4324/9781351228428/enterprise-performance-intelligence-decision-patterns-vivek-kale https://doi.org/10.4324/9781351228428
Katuu, S. (2021). Trends in the Enterprise Resource Planning Market Landscape. Journal of Information and Organizational Sciences, 45(1), 55–75. https://doi.org/10.31341/jios.45.1.4
Ketolainen, A. (2023). Performance measuring and management in pharmaceutical industry [Master’s thesis, Lahti University of Technology]. lutpub.lut.fi. https://lutpub.lut.fi/handle/10024/166456
Khalin, V., & Chernova, G. (2018). Digitalization and Its Impact on the Russian Economy and Society: Advantages, Challenges, Threats and Risks. Administrative Consulting(10), 46–63. https://doi.org/10.22394/1726-1139-2018-10-46-63
Khder, M. A., Abu-AlSondos, I. A., & Bahar, I. Y. (2021). The Impact of Implementing Data Mining in Business Intelligence. International Journal of Entrepreneurship, 25(4S), 1–7. https://www.abacademies.org/articles/the-impact-of-implementing-data-mining-in-business-intelligence-11473.html
Kilanko, V. (2022). Turning Point: Policymaking in the Era of Artificial Intelligence, by Darrell M.West and John R.Allen, Washington, DC: Brookings Institution Press, 2020, 297 pp., hardcover $24.99, paperback $19.99. Journal of Policy Analysis and Management, 41(2), 650–653. https://doi.org/10.1002/pam.22374
Kombo-Pinda-Loubondo, M.‑G.‑E. (2022). Digitalization and its influence on international economic relations on the base of the Walt Disney Company: Digitalization and its influence on international economic relations on the base of the Walt Disney Company [Bachelor thesis, Ukrainian-American Concordia University]. elib.uacu.edu.ua. http://elib.uacu.edu.ua/xmlui/handle/123456789/31
Krishnababu, K., Kulkarni, G. S., R, Y., & Paarakh, P. M. (2023). June-July 2023. Journal of Artificial Intelligence, Machine Learning and Neural Network(34), 26–37. https://doi.org/10.55529/jaimlnn.34.26.37
Kulkarni, U., Robles-Flores, J., & Popovič, A. (2017). Business Intelligence Capability: The Effect of Top Management and the Mediating Roles of User Participation and Analytical Decision Making Orientation. Journal of the Association for Information Systems, 18(7), 516–541. https://doi.org/10.17705/1jais.00462
Kulkov, I. (2021). The role of artificial intelligence in business transformation: A case of pharmaceutical companies. Technology in Society, 66, 101629. https://doi.org/10.1016/j.techsoc.2021.101629
Kumar, G. (2023). Optimizing pharmaceutical supply chain with digital technologies. International Journal of Science and Research Archive, 9(2), 727-731. https://doi.org/10.30574/ijsra.2023.9.2.0666
Kunc, M., & O’brien, F. A. (2019). The role of business analytics in supporting strategy processes: Opportunities and limitations. Journal of the Operational Research Society, 70(6), 974-985. https://doi.org/10.1080/01605682.2018.1475104
Mbaidin, H. (2024). E-learning's influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables. International Journal of Data and Network Science, 8(1), 609-616. DOI: 10.5267/j.ijdns.2023.8.024
Mbaidin, H., Alomari, K., AlMubydeen, I., & Sbaee, N. (2024). The critical success factors (CSF) of blockchain technology effecting excel performance of banking sector: Case of UAE Islamic Banks. International Journal of Data and Network Science, 8(1), 289-306. DOI: 10.5267/j.ijdns.2023.9.024
Mbaidin, H. O., Alsmairat, M. A., & Al-Adaileh, R. (2023). Blockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector. International Journal of Information Management Data Insights, 3(2), 100199. https://doi.org/10.1016/j.jjimei.2023.100199
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; Faculty of Management, Law and Social Sciences]. bradscholars.brad.ac.uk. https://bradscholars.brad.ac.uk/handle/10454/17460
Mehrotra, P. (2019). Applications of Artificial Intelligence in the Realm of Business Intelligence. In J. Darmont & S. Loudcher (Eds.), Advances in Business Information Systems and Analytics. Utilizing big data paradigms for business intelligence (pp. 1–38). IGI Global Business Science Reference. https://doi.org/10.4018/978-1-5225-4963-5.ch001
Moflih, M., Alabaddi, Z., Rahahleh, A., Alali, H., & Alnsour, S. (2020). The Relative Importance Of The Critical Success Factors Of Business Intelligence(Bi) Systems Implementation In Jordanian Pharmaceutical Companies. Journal of Theoretical and Applied Information Technology, 98, 12.
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. https://doi.org/10.1016/j.ipm.2021.102725
Orji, U., Obianuju, E., Ezema, M., Ugwuishiwu, C., Ukwandu, E., & Agomuo, U. (2023). Using Data Analytics to Derive Business Intelligence: A Case Study. Cornell University. https://arxiv.org/pdf/2305.19021.pdf https://doi.org/10.48550/arXiv.2305.19021
Paul, D., Sanap, G., Shenoy, S., Kalyane, D., Kalia, K., & Tekade, R. K. (2021). Artificial intelligence in drug discovery and development. Drug Discovery Today, 26(1), 80–93. https://doi.org/10.1016/j.drudis.2020.10.010
Pranjić, G. (2018). Decision making process in the business intelligence 3.0 context. Ekonomska misao i praksa, 27(2), 603-619. https://hrcak.srce.hr/213321
Ranjan, J., & Foropon, C. (2021). Big Data Analytics in Building the Competitive Intelligence of Organizations. International Journal of Information Management, 56, 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231
Rawat, R [R.], & Yadav, R. (2021). Big data: Big Data Analysis, Issues and Challenges and Technologies. IOP Conference Series: Materials Science and Engineering, 1022(012014). https://doi.org/10.1088/1757-899X/1022/1/012014
Reddy, S., & Suneetha, C. (2021). A review of data warehouses multidimensional model and data mining. Information Technology in Industry, 9(3), 310–320. http://it-in-industry.org/index.php/itii/article/view/532
Rehman, A., Naz, S., & Razzak, I. (2022). Leveraging big data analytics in healthcare enhancement: Trends, challenges and opportunities. Multimedia Systems, 28(4), 1339–1371. https://doi.org/10.1007/s00530-020-00736-8
Renaldo, N., Suyono, Andi, Putri, N. Y., & Cecilia (2023). How Business Intelligence, Intellectual Capital, and Company Performance Increase Company Value? Leverage as Moderation. Journal of Applied Business and Technology, 4(1), 93–99. https://doi.org/10.35145/jabt.v4i1.123
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2019). Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis. Journal of Computer Information Systems, 59(2), 188–196. https://doi.org/10.1080/08874417.2017.1334244
Rikhardsson, P., & Yigitbasioglu, O. (2018). Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29, 37–58. https://doi.org/10.1016/j.accinf.2018.03.001
Ronolo, S. C. (2023). Assuring Data Integrity towards Regulatory Compliance: A Study on Process Improvement in Data Integrity Compliance of Computerized Systems [Master’s Degree, Metropolia University of Applied Sciences]. www.theseus.fi. https://www.theseus.fi/handle/10024/799599?show=full
Sarkar, D, R. (2023). Pharma software - a complete overview. International Journal of Science & Healthcare Research. 2023; 8(2): 166-177. DOI: https://doi.org/10.52403/ijshr.20230220
Seddon, P. B., Constantinidis, D., Tamm, T., & Dod, H. (2017). How does business analytics contribute to business value? Information Systems Journal, 27(3), 237–269. https://doi.org/10.1111/isj.12101
Shafi, M., Liu, J., & Ren, W. (2020). Impact of COVID-19 pandemic on micro, small, and medium-sized Enterprises operating in Pakistan. Research in Globalization, 2, 100018. https://doi.org/10.1016/j.resglo.2020.100018
Srivastava, G., S, M., Venkataraman, R., V, K., & N, P. (2022). A review of the state of the art in business intelligence software. Enterprise Information Systems, 16(1), 1–28. https://doi.org/10.1080/17517575.2021.1872107
Tripathi, A., Bagga, T., & Aggarwal, R. K. (2020). Strategic Impact of Business Intelligence : A Review of Literature. Prabandhan: Indian Journal of Management, 13(3), 35. https://doi.org/10.17010/pijom/2020/v13i3/151175
Tunowski, R. (2020). Sustainability of Commercial Banks Supported by Business Intelligence System. Sustainability, 12(11), 4754. https://doi.org/10.3390/su12114754
Velu, A. (2021). Influence of business intelligence and analytics on business value. International Engineering Journal for Research & Development, 6(1), 9. https://doi.org/10.17605/OSF.IO/SZVPN
Vora, L. K., Gholap, A. D., Jetha, K., Thakur, R. R. S., Solanki, H. K., & Chavda, V. P. (2023). Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design. Pharmaceutics, 15(7), 1916. https://doi.org/10.3390/pharmaceutics15071916
Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological forecasting and social change, 126, 3-13.
https://doi.org/10.1016/j.techfore.2015.12.019
Yiu, L. M. D., Yeung, A. C. L., & Cheng, T. C. E. (2021). The impact of business intelligence systems on profitability and risks of firms. International Journal of Production Research, 59(13), 3951–3974. https://doi.org/10.1080/00207543.2020.1756506
Yiu, L. D., Yeung, A. C., & Jong, A. P. (2020). Business intelligence systems and operational capability: an empirical analysis of high-tech sectors. Industrial Management & Data Systems, 120(6), 1195-1215.
https://doi.org/10.1108/IMDS-12-2019-0659
Zhan, Y., Han, R., Tse, M., Ali, M. H., & Hu, J. (2021). A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry. Technological Forecasting and Social Change, 163, 120504. https://doi.org/10.1016/j.techfore.2020.120504