Acta Informatica Pragensia 2024, 13(1), 85-99 | DOI: 10.18267/j.aip.2304157

Impact of Management Support on Business Intelligence Adoption: Illustrative Case Study Testing Different Managerial Strategies

Jakub Andar ORCID..., Petra Kasparova ORCID...
Faculty of Economics, Technical University of Liberec, Liberec, Czech Republic

Business intelligence (BI) is a crucial tool for organizations to gain a competitive advantage on the market. BI encompasses collection, analysis and utilization of data to enhance decision-making and drive organizational innovation. The system quality or management support most often influences the success of BI projects. The present article aims to verify the importance of management support in implementing BI solutions. The research was conducted in a global shipping company. The research is based on an illustrative case study in which four managerial tactics were tested. A different form of managerial support was applied to the four newly introduced reports provided by BI tools. The results confirm the importance of management support but also show the impact of other factors influencing user behaviour. Keeping the possibility of using the original data sources played a significant role. Thus, the habit effect manifested itself, as it strongly accompanies all efforts for process changes. So far, business intelligence tools are becoming a part of decision-making processes on an operational basis, but management support is still essential at all job levels.

Keywords: Business intelligence; BI; Critical success factors; CFS; Illustrative case study; Management support; Czech Republic.

Received: November 11, 2023; Revised: February 17, 2024; Accepted: March 2, 2024; Prepublished online: April 9, 2024; Published: April 15, 2024  Show citation

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Andar, J., & Kasparova, P. (2024). Impact of Management Support on Business Intelligence Adoption: Illustrative Case Study Testing Different Managerial Strategies. Acta Informatica Pragensia, 13(1), 85-99. doi: 10.18267/j.aip.230
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    References

    1. Ambarwati, R., Harja, Y., & Thamrin, S. (2020). The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform. The Journal of Asian Finance, Economics and Business, 7, 481-489. https://doi.org/10.13106/jafeb.2020.vol7.no10.481 Go to original source...
    2. Annette, B., & Kelly, M. (2019). Case Study Methodology in Higher Education. IGI Global.
    3. Blut, M., Chong, A. Y. L., Tsigna, Z., & Venkatesh, V. (2022). Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): Challenging its Validity and Charting a Research Agenda in the Red Ocean. Journal of the Association for Information Systems, 23(1), 13-95. https://doi.org/10.17705/1jais.00719 Go to original source...
    4. Bordeleau, F.-E., Mosconi, E., & de Santa-Eulalia, L. A. (2020). Business intelligence and analytics value creation in Industry 4.0: A multiple case study in manufacturing medium enterprises. Production Planning & Control, 31(2-3), 173-185. https://doi.org/10.1080/09537287.2019.1631458 Go to original source...
    5. Brzezinski, L. (2022). Robotic Process Automation in Logistics - A Case Study of a Production Company. European Research Studies Journal, 25(2B), 307-315. https://doi.org/10.35808/ersj/2963 Go to original source...
    6. Burkholder, G. J., Cox, K. A., Crawford, L. M., Hitchcock, J. H., & Patton, M. Q. (2020). Research design and methods: An applied guide for the scholar-practitioner. SAGE Publications.
    7. 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 Go to original source...
    8. Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748 Go to original source...
    9. Eidizadeh, R., Salehzadeh, R., & Chitsaz Esfahani, A. (2017). Analysing the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage. Journal of Workplace Learning, 29(4), 250-267. https://doi.org/10.1108/JWL-07-2016-0070 Go to original source...
    10. Ermakova, T., Blume, J., Fabian, B., Fomenko, E., Berlin, M., & Hauswirth, M. (2021). Beyond the Hype: Why Do Data-Driven Projects Fail? Scholar Space. http://doi.org/10.24251/HICSS.2021.619 Go to original source...
    11. Fatorachian, H., & Kazemi, H. (2021). Impact of Industry 4.0 on supply chain performance. Production Planning & Control, 32(1), 63-81. https://doi.org/10.1080/09537287.2020.1712487 Go to original source...
    12. Gaardboe, R., & Svarre, T. (2018). Business Intelligence Success Factors: A Literature Review. Business Intelligence Success Factors. Journal of Information Technology Management, 29(1), 1-15.
    13. Gomwe, G., Potgieter, M., & Litheko, A. M. (2022). Proposed framework for innovative business intelligence for competitive advantage in small, medium and micro-organisations in the North West province of South Africa. The Southern African Journal of Entrepreneurship and Small Business Management, 14(1), Article no. 1. https://doi.org/10.4102/sajesbm.v14i1.501 Go to original source...
    14. Grabińska, A., & Ziora, L. (2019). The Application of Business Intelligence Systems in Logistics. Review of Selected Practical Examples. System Safety: Human - Technical Facility - Environment, 1, 1028-1035. https://doi.org/10.2478/czoto-2019-0130 Go to original source...
    15. Hayes, R., Kyer, B., & Weber, E. (2015). The Case Study Cookbook. Worcester Polytechnic Institute.
    16. Imandeka, E. (2020). Influencing Factors of Business Intelligence Continuance Usage Intention: A Case Study of Government-Owned Insurance Company. International Journal of Engineering Applied Sciences and Technology, 4(9), 404-408. https://doi.org/10.33564/IJEAST.2020.v04i09.052 Go to original source...
    17. Isik, O., Jones, M., & Sidorova, A. (2012). Business intelligence (BI) success and the role of BI capabilities. Intelligent Systems in Accounting, Finance and Management, 18, 161-176. https://doi.org/10.1002/isaf.329 Go to original source...
    18. Kamaghe, J., Luhanga, E., & Kisangiri, M. (2020). The Challenges of Adopting M-Learning Assistive Technologies for Visually Impaired Learners in Higher Learning Institution in Tanzania. International Journal of Emerging Technologies in Learning, 15(1), 140-151. https://doi.org/10.3991/ijet.v15i01.11453 Go to original source...
    19. Kašparová, P. (2023). Intention to use business intelligence tools in decision making processes: Applying a UTAUT 2 model. Central European Journal of Operations Research, 31, 991-1008. https://doi.org/10.1007/s10100-022-00827-z Go to original source...
    20. Kaur, K. (2021). Business Intelligence on Supply Chain Responsiveness and Agile Performance: Empirical Evidence From Malaysian Logistics Industry. International Journal of Supply Chain Management, 6(2), 31-63. https://doi.org/10.47604/ijscm.1351 Go to original source...
    21. Kmiecik, M. (2022). Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL). Sustainability, 14(13), Article 13. https://doi.org/10.3390/su14138134 Go to original source...
    22. Krstev, D. (2022). Reverse Logistics - Possibility, Expectation and Sustainability Perspectives. Natural Resources and Technology, 16(1), Article 1. https://doi.org/10.46763/NRT22161089k Go to original source...
    23. Laberge, R. (2012). Datové sklady: Agilní metody a business intelligence. Computer Press.
    24. Lans, R. van der. (2012). Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses. Elsevier.
    25. Lim, Y. Y., & Teoh, A. P. (2020). Realizing the strategic impact of business intelligence utilization. Strategic Direction, 36(4), 7-9. https://doi.org/10.1108/SD-09-2019-0184 Go to original source...
    26. McBride, N. (2014). Business intelligence in magazine distribution. International Journal of Information Management, 34(1), 58-62. https://doi.org/10.1016/j.ijinfomgt.2013.09.006 Go to original source...
    27. McFarlane, D., Giannikas, V., & Lu, W. (2016). Intelligent logistics: Involving the customer. Computers in Industry, 81, 105-115. https://doi.org/10.1016/j.compind.2015.10.002 Go to original source...
    28. Mohammad, A. B., Al-Okaily, M., Al-Majali, M. K., & Masa'deh, R. (2022). Business Intelligence and Analytics (BIA) Usage in the Banking Industry Sector: An Application of the TOE Framework. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 189. https://doi.org/10.3390/joitmc8040189 Go to original source...
    29. Moss, L. T., & Atre, S. (2003). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-support Applications. Addison-Wesley Professional.
    30. Novotný, O., Pour, J., & Slánský, D. (2005). Business intelligence: Jak využít bohatství ve vašich datech. Grada Publishing.
    31. Olszak, C. M. (2016). Toward Better Understanding and Use of Business Intelligence in Organizations. Information Systems Management, 33(2), 105-123. https://doi.org/10.1080/10580530.2016.1155946 Go to original source...
    32. Petter, S., DeLone, W., & McLean, E. R. (2013). Information Systems Success: The Quest for the Independent Variables. Journal of Management Information Systems, 29(4), 7-62. https://doi.org/10.2753/MIS0742-1222290401 Go to original source...
    33. Qhal, A., & Mohammed, E. (2022). Role of Business Intelligence and Knowledge Management in Solving Business Problems. Tehnički Glasnik, 16(3), 371-378. https://doi.org/10.31803/tg-20220531145604 Go to original source...
    34. 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 Go to original source...
    35. Rouhani, S., Ashrafi, A., Ravasan, A. Z., & Afshari, S. (2018). Business Intelligence Systems Adoption Model: An Empirical Investigation. Journal of Organizational and End User Computing, 30(2), 43-70. https://doi.org/10.4018/JOEUC.2018040103 Go to original source...
    36. Sabherwal, R., & Becerra-Fernandez, I. (2013). Business Intelligence: Practices, Technologies, and Management. John Wiley & Sons.
    37. 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. https://doi.org/10.1108/IJLM-01-2013-0012 Go to original source...
    38. Shapouri, F., & Najjar, l. (2020). Critical Success Factors in Implementing Business Intelligence Systems. In AMCIS 2020 Proceedings. AIS. https://aisel.aisnet.org/amcis2020/org_transformation_is/org_transformation_is/11
    39. Štrach, P. (2007). Tvorba výukových a výzkumných případových studií. Acta Oeconomica Pragensia, 15(3), 22-36. https://doi.org/10.18267/j.aop.62 Go to original source...
    40. Surma, J. (2011). Business Intelligence: Making Decisions Through Data Analytics. Business Expert Press. Go to original source...
    41. Takahashi, A. R. W., & Araujo, L. (2019). Case study research: Opening up research opportunities. RAUSP Management Journal, 55(1), 100-111. https://doi.org/10.1108/RAUSP-05-2019-0109 Go to original source...
    42. Taş, Ü. (2023). Case Study of Intralogistics in The Framework of Logistics 4.0. International Journal of Automotive Science And Technology, 7(1), 18-24. https://doi.org/10.30939/ijastech..1215381 Go to original source...
    43. Venkatesh, V., Morris, M., Davis, G. B., & Davis, F. D. (2003). User acceptance of information Technology: toward a unified view. Management Information Systems Quarterly, 27(3), 425. https://doi.org/10.2307/30036540 Go to original source...
    44. Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926 Go to original source...
    45. Walters, J. S., Higgins, D., Irving, M. J., & Wallace, J. P. (2023). Can Utilizing Business Intelligence with Electronic Dental Record Data Improve Business Decisions for Dental Organizations: A Scoping Review. ACI Open, 7(1), e16-e22. https://doi.org/10.1055/s-0043-1764295 Go to original source...
    46. Yeoh, W., Koronios, A., & Gao, J. (2008). Managing the implementation of business intelligence systems. International Journal of Enterprise Information Systems, 4(3), 79-94. https://doi.org/10.4018/jeis.2008070106 Go to original source...
    47. Yin, R. K. (2018). Case study research and applications: Design and methods (Sixth edition). SAGE.
    48. Zhao, Y. (2021). Transformation of Business Analytics from Business Intelligence. In 2021 International Conference on Environmental and Engineering Management, (pp. 1-4). EDP Sciences. https://doi.org/10.1051/e3sconf/202125303013 Go to original source...

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