Organizational Success Factors of Data Warehouse and Their Relationship with IS Strategy: A Case Study of Bank Al Etihad - Jordan
Abstract
Emad Hani Halasa[1]
Hisham Othman Almubaideen
Akram Khlaif Al-Qaraleh
Abstract
This study aimed to investigate organizational success factors of Data Warehouse and their relationship with IS strategy as applied to Bank Al Etihad – Jordan. The sample of the study comprised all IT officials at Bank Al Etihad and all the branch’s managers. A questionnaire was developed based upon previous studies to measure the study variables. The study concluded that (IS Innovator) was the most perceived IS strategy among the sample of the study. The sample of the study perceived that senior management support is the most considered Data Warehouse organizational success factor. Moreover, the study demonstrated that there is a statistically significant relationship between DW organizational success factors and IS strategy of Bank Al Etihad-Jordan, as perceived by branch managers or IT employees of Bank Al Etihad-Jordan. The study recommended enhancing the senior management support for using and developing IT/IS and Business Intelligence solutions in addition to other recommendations.
Keywords: Organizational success factors, Data warehousing, Information strategy, Management information systems in Banking.
عوامل النجاح التنظيمي لمستودعات البيانات وعلاقتها باستراتيجية نظم المعلومات: دراسة حالة لبنك الاتحاد – الأردن
عماد هاني هلسا
هشام عثمان المبيضين
أكرم خليف القرالة
ملخص
هدفت هذه الدراسة إلى التحقيق في عوامل النجاح التنظيمي لمستودعات البيانات وعلاقتها باستراتيجية نظم المعلومات متخذة بنك الاتحاد – الأردن كحالة دراسية. تضمنت عينة الدراسة جميع مسؤولي تكنولوجيا المعلومات في بنك الاتحاد وجميع مديري الفروع. تم تطوير استبانة بناءً على دراسات سابقة لقياس متغيرات الدراسة. وخلصت الدراسة إلى أن استراتيجية نظم المعلومات الإبداعية (IS Innovator) كانت استراتيجية نظم المعلومات الأكثر إدراكًا بين عينة الدراسة. وتوصلت الدراسة إلى أفراد عينة الدراسة يعتقدون أن دعم الإدارة العليا هو عامل النجاح التنظيمي الأكثر اعتبارًا لمستودعات البيانات (DW). علاوة على ذلك، أوضحت الدراسة أن هناك علاقة ذات دلالة إحصائية بين عوامل النجاح التنظيمي لمستودعات البيانات واستراتيجية استراتيجية نظم المعلومات (IS) لبنك الاتحاد - الأردن، كما يراها مديرو الفروع أو مسؤولو تكنولوجيا المعلومات في بنك الاتحاد - الأردن. أوصت الدراسة بتعزيز دعم الإدارة العليا لاستخدام وتطوير تكنولوجيا المعلومات / نظم المعلومات وحلول ذكاء الأعمال بالإضافة إلى توصيات أخرى.
الكلمات الدالة: عوامل النجاح التنظيمي ، تخزين البيانات ، إستراتيجية المعلومات ، نظم المعلومات الإدارية في البنوك.
[1] عمادة البحث العلمي، جامعة مؤتة.
تاريخ تقديم البحث: 30/8/2020م. تاريخ قبول البحث: 3/12/2020م .
© جميع حقوق النشر محفوظة لجامعة مؤتة، الكرك، المملكة الأردنية الهاشمية، 2022 م.
Keywords
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AbuSaleem, M. (2005). The Critical Success Factors of Data Warehousing Applications: The Case of Finnish Companies. Helsinki, Finland: Hanken- Swedish School of Economics and Business Administration.
AbuShanab, E. (2004). DATA WAREHOUSING STRATEGIES: A STRATEGIC ALIGNMENT PERSPECTIVE. Decision Sciences Institute Conference (pp. 711-716). Boston, USA: Southern Illinois University.
Ackermann, J., Yeung, M., & Bommel, E. (2007, July). Media. Retrieved from Fair Isaac Corporation: https://mckinsey.com/~/media/mckinsey/dotcom/client_service/mckinsey%20digital/pdfs/bette_it_management.ashx
Al- Saraireh, S. (2013). The Role of Investment in Information Technology on the Performance of Industrial Companies Listed on Amman Financial Market. International Journal of Business and Social Science, 4(12), 184-195.
Almabhouh, A., Saleh, A., & Ahmad, A. (2012). A framework of data warehouse systems success: An empirical study. International Journal of Electronics Communication and Computer Engineering, 3(3), 664-677.
Alnassar, B. (2016). Factors that Affecting Successful Implementation of Data Warehouse. Al-Mithqal Journal of Economics & Administrative Sciences, 2(1), 149-172.
Al-Nsour, B., AlShobaki, Z., & Alizoubidi, M. (2019). The Effect of Information Systems on Bank Performance: A comparative study between Islamic and Commercial Banks in Jordan. Journal of Social Sciences (COES&RJ-JSS), 8(3), 526-543.
Alshubaily, N., & Altameem, A. (2017). The Role of Strategic Information Systems (SIS) in Supporting and Achieving the Competitive Advantages (CA): An Empirical Study on Saudi Banking Sector. International Journal of Advanced Computer Science and Applications (IJACSA), 8(7), 128-139.
Ankrah, E. (2016). The Strategic Alignment of Information Systems Strategy of Ghanaian Banks. Information and Knowledge Management, 6(9), 42-53.
Arnott, D. (2008). Success Factors for Data Warehouse and Business Intelligence Systems. 19 th Australasian Conference on Information Systems (ACIS) (pp. 55-65). Christchurch: ACIS 2008 Proceedings.
Bajaber, W., AlQulaity, A., & Zafar, A. (2016, June). An Overview of Strategic Information Systems Planning in Banking Sectors: A case study of Riyadh Bank of KSA. International Journal of Computer Applications, 144(7), 1-6.
Beccalli, E. (2007). Does IT investment improve bank performance? Evidence from Europe. Journal of Banking & Finance, 31(7), 2205-2230.
Bhansali, N. (2010). Strategic Data Warehousing: Achieving Alignment with Business. (T. &. Francis, Ed.) New York: CRC Press.
Chaffey, D., & Wood, S. (2005). Business Information Management: Improving Performance Using Information System. Essex, England: Pearson Education Limited.
Chen, D., Preston, D., Mocker, M., & Teubner, A. (2010). Information Systems Strategy: Reconceptualization,Measurement and Implications. MIS Quarterly, 34(2), 233-259.
Chen, W. (2015). The Application of Data Warehouse Technology in Modern Finance. International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII) (pp. 1967-1971). Zhengzhou, Henan, China: Atlantis Press.
Clarke, S. (2001). Information Systems Strategic Management: An Integrated Approach. (T. &. Francis, Ed.) New York: Routledge.
Cooper, B., Watson, H., Haley , B., & Goodhue , D. (2000, Dec.). Data Warehousing Supports Corporate Strategy at First American Corporation. MIS Quarterly, 24(4), 547-567.
Cox, S. (2014). Managing Information in Organizations: A Practical Guide to Implementing an Information Management Strategy. (1. Edition, Ed.) London, UK.: Palgrave Macmillan.
Department of Statistics. (2019, July 1). Growth Rate Prices. Retrieved from Department of Statistics Web site: http://dos.gov.jo/dos_home_e/main/archive/GDP/2019/Q1.pdf
Duggal, S., & Pylyayeva, I. (2001). Data Warehouse: Strategic Advantage. Issues in Information Systems, 2(1), 78 – 84. Retrieved from http://iacis.org/iis/2001/Duggal71.pdf
El-Adaileh, N., & Foster, S. (2019). Successful business intelligence implementation: a systematic literature review . Journal of Work-Applied Management, 11(2), 121-132.
Elson, R. (2001). Data Warehousing Strategy. Florida: University of Sarasota.
Francis, T. &. (Ed.). (2010). Strategic Data Warehousing: Achieving Alignment with Busines. New York: CRC Press.
Gaardboe, R., & Svarre, T. (2018). Business Intelligence Success Factors: A Literature Review. Journal of Information Technology Management, XXIX(1), 1-15.
Ganczarski, J. (2006). Critical Implementation Factors in Data Warehouse Implementations in Canadian Financial Institutions: Qualitative Study. . Department of Business and Management. San Diego, California: Northcentral University.
García, V., & Díaz Pinzón, B. (2017). Key success factors to business intelligence solution implementation. Journal of Intelligence Studies in Business, 7(1), 48-69.
Golfarelli, M., & Rizzi, S. (2010). Data Warehouse Design: Modern Principles and METHODOLOGIES. (C. Pagliarani, Trans.) New York: McGraw-Hill.
Haley, B. (1998). Implementing Successful Data Warehouses. Journal of Data Warehousing, 3(2), 48-51.
Hammouri, Q., Shraideh, L., & Abu-Shanab , E. (2015). Evaluating the Success of Information Strategic System Planning: wo Cases from Jordan. the 7th International Conference on Information Technology (pp. 390-396). Amman-Jordan: AL-Zaytoonah University.
Hayen, R., Rutashobya, C., & Vetter, D. (2007). Investigation of the Factors Affecting Data Warehousing Success. Issues in Information Systems, VIII( 2), 547-553.
Heise, D. (2006). Data Warehousing and Decision Making in Higher Education in the United States. Berrien Springs, Michigan: Andrews University.
Ho, S., & Mallick, S. (2010). The impact of information technology on the banking INDUSTRY. Journal of the Operational Research Society, 61(2), 211-221.
Huebner, R. (2017). A Quantitative Analysis of Organizational Fators that Relate Data Mining Success. School of Business and Technology. Minneapolis, Minnesota: Capella University .
Inmon, W. (2005). Building the Data Warehouse. (4th, Ed.) Indianapolis: Wiley, publishing Inc.
Jordan, A. (2017, May 9). Banking on Value: Why Banks Are Turning to Data Warehouses for Insight. Retrieved from HelpSystems Web site: https://www.helpsystems.com/resources/articles/banking-value-why-banks-are-turning-data-warehouses-insight#:~:text=Banking%20on%20Value%3A%20Why%20Banks%20Are%20Turning%20to%20Data%20Warehouses%20for%20Insight&text=Today%2C%20success%20in%20banking%20requ
Joseph, M. (2013, March ). Significance of Data Warehousing and Data Mining in Business Applications. International Journal of Soft Computing and Engineering (IJSCE), 3(1), 329-333.
Kanakriyah, R. (2017). The Impact of Accounting Information Systems on the Banks Success: Evidence from Jordan. Research Journal of Finance and Accounting, 8(17), 1-14.
Kfouri, J., & Skyrius , R. (2016). Factors influencing the implementation of business intelligence among small and medium enterprises in Lebanon. Informacijos mokslai, 76, 96-110.
Lamberti, H.-J., & Büger, M. (2009). Lessons Learned: 50 Years of Information Technology in the Banking Industry –The Example of Deutsche Bank AG. Business & Information Systems Engineering, 1, 26-36.
Laudon, K., & Laudon, J. (2013). Essentials of Management Information Systems (10th ed.). New Jersey: Prentice Hall.
Lautenbach, P., Johnston, K., & Adeniran-Ogundipe, T. (2017). Factors influencing business intelligence and analytics usage extent in South African organisations. South African Journal of Business Management, 48(3), 23-33.
Lee, Y., Lee, D., & Suh, C. (2001). Factors Affecting Implementation of Data Warehouse. Pacific Asia Conference on Information Systems (PACIS) (pp. 678-691). Seoul, Korea: Association for Information Systems. Retrieved from https://aisel.aisnet.org/pacis2001/47/
Miner, J. (2019, June 19). Yellowbrick helps banks achieve analytics and data warehousing goals. Retrieved from Yellowbrick Data, Inc.: https://www.yellowbrick.com/blog/yellowbrick-helps-banks-achieve-analytics-and-data-warehousing-goals/
Mishkin, F., & Seretis, A. (2011). The Economics of Money, Banking and Financial Markets (4th ed.). Toronto, Canada: Pearson.
Mukherjee, D. (2003). An Empirical Investigation of Critical Factors that Influence Data Warehouse Implementation Success. . School of Library and Information Sciences. Denton, Texas: University of North Texas.
Ojeda, A., Ramaswamy, M., Rivera , A., & Jumah, A. (2011). Critical Factors for Successful Implementation of Data Warehouse . Issues in Information Systems, 22(1), 88-96.
Olszak, C., & Ziemba, E. (2012). Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland. Interdisciplinary Journal of Information, Knowledge, and Management, 7, 129-150.
Pearlson, K., Saunders, C, & Galletta, D. (2016). Managing and Using Information Systems: A Strategic Approach. NJ. USA.: John Wiley and Sons Inc.
Phiriyayotha, T., & Rotchanakitumnuai, S. (2013). Data Warehouse Implementation Success Factors and the Impact of Leadership and Personality on the Relationship between Success Factors. Journal of Business and Economics, 4(10), 948-956.
Pilarczyk, K. (2016). The importance of information management support systems in the banking sector. Annales Universitatis Mariae Curie-Skłodowska, section H - Oeconomia, 50(2), 69-79. Retrieved from https://journals.umcs.pl/h/article/view/2123/2675
Porter, M. (2001, March). Strategy and the Internet. Harvard Business Review, 79(3), 62–78.
Qumsieh, A. (2019, February 5). News. Retrieved from Capital Bank: https://www.capitalbank.jo/en/news/khlal-msharkth-fy-mntdy-althwl-alrqmy-fy-alardn-llqtaat-almsrfyt-walhkwmyt-qmsyh-albnwk-alardnyt-tmtlk-alywm-frsaa-zymt-ltzyz-alashtmal-almaly-fy-almmlkt
Rainardi, V. (2008). Building a Data Warehouse with Examples in SQL Server. Berkeley, CA: APress.
Ravasan, A., & Savoji, S. (2014, July-September). An Investigation of BI Implementation Critical Success Factors in Iranian Context. International Journal of Business Intelligence Research, 5(3), 41-57.
Saad, R. (2011). Factors Influencing Information Systems Implementation with Emphasis on Core Banking Systems in Lebanon. Paris: Grenoble Ecole de Management.
Sabharwal, M. (2014). he use of techniques such as Data Warehousing, Data Mining, Business Intelligence (BI) and Data Analysis on the transaction data of customers by Indian Banks to provide customized customize rewards, services, products and nvestment solutions to its custom. IFRSA International Journal of Data Warehousing & Mining, 4(1), 30-37.
Sanger, A., & Iahad, N. (2013). Critical Factors That Affect the Success of Business Intelligence Systems (BIS) Implementation in an Organization. International Journal of Scientific & Technology Research, 2(2), 176-180.
Scott, A. (2018). Strategic Alignment and Information Technology Projects in the Banking Industry. Minneapolis, Minnesota, USA.: Capella University.
Shobha, D. (2014). Key Success Factors for Data Warehouse ImplementaTION. Oriental Journal of Computer Science & Technology, 7(2), 231-236.
Van Rekom, P. (2000). Data Warehouse: A Case Study of the Factors Effecting User Satisfaction. Rossier School of Education. Los Angeles: University of Southern California.
Wixom, B., & Watson, H. (2001, Mar.). An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 25(1), 17-41.
Xu, H., & Hwang, M. (2007). The Effect of Implementation Factors on Data Warehousing Success: An Exploratory Study. Journal of Information, Information Technology, and Organizations, 2, 1-14. Retrieved from https://digitalcommons.butler.edu/cob_papers/77/?utm_source=digitalcommons.butler.edu%2Fcob_papers%2F77&utm_medium=PDF&utm_campaign=PDFCoverPages
Yeoh, W. (2008). Critical Success Factors for Implementation of Business Intelligence Systems in Engineering Asset Management Organizations. School of Computer and Information Science. Adelaide, Australia: University of South Australia.
Zaied, A., Grida, M., & Hussein, G. (2018). Evaluation of Critical Success Factors for Business Intelligence Systems Using Fuzzy AHP. Journal of Theoretical and Applied Information Technology, 96(19), 6406-6422.
DOI: http://dx.doi.org/10.35682/1936
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