References
- Akbulut, A.Y., Kelle, P., Pawlowski, S.D., Schneider, H., & Looney, C.A. (2009). To share or not to share? Examining the factors influencing local agency electronic information sharing. International Journal of Business Information Systems, 4(2), 143. https://doi.org/10.1504/IJBIS.2009.022821
- Akkermans, H.A., Bogerd, P., Yücesan, E., & Van Wassenhove, L.N. (2003). The impact of ERP on supply chain management: Exploratory findings from a European Delphi study. European Journal of Operational Research, 146(2), 284–301. https://doi.org/10.1016/S0377-2217(02)00550-7
- Alkraiji, A. (2016). Cross-case analysis of top management characteristics and enterprise information system success. Journal of Cases on Information Technology (JCIT), 18(3), 40–58. https://doi.org/10.4018/JCIT.2016070104
- Alkraiji, A. (2020). Top management’s role in promoting decision support systems efficiency: An exploratory study in government sector in Saudi Arabia. Journal of Cases on Information Technology (JCIT), 22(1), 38–56. https://doi.org/10.4018/JCIT.2020010103
- Alshibly, H.H. (2015). Investigating decision support system (DSS) success: A partial least squares structural equation modeling approach. Journal of Business Studies Quarterly, 6(4), 56–78.
- Anderson, D.R., Sweeney, D.J., Williams, T.A., & Wisniewski, M. (2009). An introduction to management science: Quantitative approaches to decision making. London: Cengage Learning.
- Arefin, M.S., Hoque, M.R., & Bao, Y. (2015). The impact of business intelligence on organization’s effectiveness: An empirical study. Journal of Systems and Information Technology, 17(3), 263–285. https://doi.org/10.1108/JSIT-09-2014-0067
- Arnott, D. (2006). Cognitive biases and decision support systems development: A design science approach. Information Systems Journal, 16(1), 55–78. https://doi.org/10.1111/j.1365-2575.2006.00208.x
- Arnott, D., & Pervan, G. (2005). A critical analysis of decision support systems research. Journal of Information Technology, 20(2), 67–87. https://doi.org/10.1057/palgrave.jit.2000035
- Arnott, D., & Pervan, G. (2008). Eight key issues for the decision support systems discipline. Decision Support Systems, 44(3), 657–672. https://doi.org/10.1016/j.dss.2007.09.003
- Asemi, A., Safari, A., & Zavareh, A.A. (2011). The role of management information system (MIS) and decision support system (DSS) for manager’s decision making process. International Journal of Business and Management, 6(7), 164–173. https://doi.org/10.5539/ijbm.v6n7p164
- Ashrafi, A., Ravasan, A.Z., Trkman, P., & Afshari, S. (2019). The role of business analytics capabilities in bolstering firms’ agility and performance. International Journal of Information Management, 47, 1–15. https://doi.org/10.1016/j.ijinfomgt.2018.12.005
- Audzeyeva, A., & Hudson, R. (2016). How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a U.K. retail bank. European Journal of Information Systems, 25(1), 29–46. https://doi.org/10.1057/ejis.2014.44
- Becker, J., Vom Brocke, J., Heddier, M., & Seidel, S. (2015). In search of information systems (grand) challenges. Business & Information Systems Engineering, 57(6), 377–390. https://doi.org/10.1007/s12599-015-0394-0
- Benlian, A. (2011). Is traditional, open-source, or on-demand first choice? Developing an AHP-based framework for the comparison of different software models in office suites selection. European Journal of Information Systems, 20(5), 542–559. https://doi.org/10.1057/ejis.2011.14
- Bharadwaj, A.S. (2000). A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quarterly, 24(1), 169–196. https://doi.org/10.2307/3250983
- 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
- Clark, T.D., Jones, M.C., & Armstrong, C.P. (2007). The dynamic structure of management support systems: Theory development, research focus, and direction. MIS Quarterly, 31(3), 579–615. https://doi.org/10.2307/25148808
- Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of big data analytics in European firms. Journal of Business Research, 70(1), 379–390. https://doi.org/10.1016/j.jbusres.2016.08.011
- DeLone, W.H., & McLean, E.R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
- Dong, L., Neufeld, D., & Higgins, C. (2009). Top management support of enterprise systems implementations. Journal of Information Technology, 24(1), 55–80. https://doi.org/10.1057/jit.2008.21
- Duan, L., & Da Xu, L. (2012). Business intelligence for enterprise systems: A survey. IEEE Transactions on Industrial Informatics, 8(3), 679–687. https://doi.org/10.1109/TII.2012.2188804
- Duan, Y., Nie, W., & Coakes, E. (2010). Identifying key factors affecting transnational knowledge transfer. Information & Management, 47(7), 356–363. https://doi.org/10.1016/j.im.2010.08.003
- Eisenfuhr, F. (2011). Decision Making. Springer.
- Elbashir, M.Z., Collier, P.A., Sutton, S.G., Davern, M.J., & Leech, S.A. (2013). Enhancing the business value of business intelligence: The role of shared knowledge and assimilation. Journal of Information Systems, 27(2), 87–105. https://doi.org/10.2308/isys-50563
- Eppler, M.J. (2006). Managing information quality: Increasing the value of information in knowledge-intensive products and processes (2nd ed.). Springer.
- Gudfinnsson, K., Strand, M., & Berndtsson, M. (2015). Analyzing business intelligence maturity. Journal of Decision Systems, 24(1), 37–54. https://doi.org/10.1080/12460125.2015.994287
- Hofstede, G.H. (1991). Cultures and organizations: Software of the mind. McGraw-Hill.
- Hosack, B., Hall, D., Paradice, D., & Courtney, J.F. (2012). A look toward the future: Decision support systems research is alive and well. Journal of the Association for Information Systems, 13(5), 315–340. https://doi.org/10.17705/1jais.00297
- Hough, P.K., & Duffy, N.M. (1987). Top management perspectives on decision support systems. Information & Management, 12(1), 21–30. https://doi.org/10.1016/0378-7206(87)90069-3
- IşıK, Ö., Jones, M.C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information & Management, 50(1), 13–23. https://doi.org/10.1016/j.im.2012.12.001
- Isik, O., Jones, M.C., & Sidorova, A. (2011). Business intelligence (BI) success and the role of BI capabilities. Intelligent systems in accounting. Finance and Management, 18(4), 161–176. https://doi.org/10.1002/isaf.329
- Jaklič, J., Grublješič, T., & Popovič, A. (2018). The role of compatibility in predicting business intelligence and analytics use intentions. International Journal of Information Management, 43, 305–318. https://doi.org/10.1016/j.ijinfomgt.2018.08.017
- Kamal, M.M., Bigdeli, A.Z., Themistocleous, M., & Morabito, V. (2015). Investigating factors influencing local government decision makers while adopting integration technologies (IntTech). Information & Management, 52(2), 135–150. https://doi.org/10.1016/j.im.2014.06.007
- Kamal, M.M., Hackney, R., & Ali, M. (2013). Facilitating enterprise application integration adoption: An empirical analysis of UK local government authorities. International Journal of Information Management, 33(1), 61–75. https://doi.org/10.1016/j.ijinfomgt.2012.06.001
- Keller, J., & Heiko, A. (2014). The influence of information and communication technology (ICT) on future foresight processes—Results from a Delphi survey. Technological Forecasting and Social Change, 85, 81–92. https://doi.org/10.1016/j.techfore.2013.07.010
- King, S., & Cotterill, S. (2007). Transformational government? The role of information technology in delivering citizen-centric local public services. Local Government Studies, 33(3), 333–354. https://doi.org/10.1080/03003930701289430
- Kulkarni, U.R., Robles-Flores, J.A., & 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
- Lee, Y., & Kozar, K.A. (2006). Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach. Decision Support Systems, 42(3), 1383–1401. https://doi.org/10.1016/j.dss.2005.11.005
- Li, X., Po-An Hsieh, J.J., & Rai, A. (2013). Motivational differences across post-acceptance information system usage behaviors: An investigation in the business intelligence systems context. Information Systems Research, 24(3), 659–682. https://doi.org/10.1287/isre.1120.0456
- Linstone, H.A., & Turoff, M. (2002). The Delphi method: Techniques and applications (18th ed.). Addison-Wesley Pub. Co. (Advanced Book Program).
- Linstone, H.A., & Turoff, M. (2011). Delphi: A brief look backward and forward. Technological Forecasting and Social Change, 78(9), 1712–1719. https://doi.org/10.1016/j.techfore.2010.09.011
- Lu, X.H., Huang, L.H., & Heng, M.S. (2006). Critical success factors of inter-organizational information systems—A case study of Cisco and Xiao Tong in China. Information & Management, 43(3), 395–408. https://doi.org/10.1016/j.im.2005.06.007
- Luftman, J., & Ben-Zvi, T. (2010). Key issues for IT executives 2010: Judicious IT investments continue post-recession. MISQ Executive, 9(4), 263–273. Available at SSRN: https://ssrn.com/abstract=2150719
- Martinsons, M.G., & Davison, R.M. (2007). Strategic decision making and support systems: Comparing American, Japanese and Chinese management. Decision Support Systems, 43(1), 284–300. https://doi.org/10.1016/j.dss.2006.10.005
- McGuire, D., & Cseh, M. (2006). The development of the field of HRD: A Delphi study. Journal of European Industrial Training, 30(8), 653–667. https://doi.org/10.1108/03090590610712304
- McIntosh, B.S., Ascough, J.C., Twery, M., Chew, J., Elmahdi, A., Haase, D., Harou, J.J., Hepting, D., Cuddy, S., Jakeman, A.J., & Chen, S. (2011). Environmental decision support systems (EDSS) development–challenges and best practices. Environmental Modelling & Software, 26(12), 1389–1402. https://doi.org/10.1016/j.envsoft.2011.09.009
- Mithas, S., Ramasubbu, N., & Sambamurthy, V. (2011). How information management capability influences firm performance. MIS Quarterly, 35(1), 237–256. https://doi.org/10.2307/23043496
- Nakatsu, R.T., & Iacovou, C.L. (2009). A comparative study of important risk factors involved in offshore and domestic outsourcing of software development projects: A two-panel Delphi study. Information & Management, 46(1), 57–68. https://doi.org/10.1016/j.im.2008.11.005
- Nam, D., Lee, J., & Lee, H. (2019). Business analytics adoption process: An innovation diffusion perspective. International Journal of Information Management, 49, 411–423. https://doi.org/10.1016/j.ijinfomgt.2019.07.017
- Okoli, C., & Pawlowski, S.D. (2004). The Delphi method as a research tool: An example, design considerations and applications. Information & Management, 42(1), 15–29. https://doi.org/10.1016/j.im.2003.11.002
- Popovič, A., Hackney, R., Coelho, P.S., & Jaklič, J. (2012). Towards business intelligence systems success: Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729–739. https://doi.org/10.1016/j.dss.2012.08.017
- Popovič, A., Hackney, R., Coelho, P.S., & Jaklič, J. (2014). How information-sharing values influence the use of information systems: An investigation in the business intelligence systems context. The Journal of Strategic Information Systems, 23(4), 270–283. https://doi.org/10.1016/j.jsis.2014.08.003
- 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(2), 209–222. https://doi.org/10.1007/s10796-016-9720-4
- Ram, J., Corkindale, D., & Wu, M.L. (2015). Examining the role of organizational readiness in ERP project delivery. Journal of Computer Information Systems, 55(2), 29–39. https://doi.org/10.1080/08874417.2015.11645754
- Ramakrishnan, T., Jones, M.C., & Sidorova, A. (2012). Factors influencing business intelligence (BI) data collection strategies: An empirical investigation. Decision Support Systems, 52(2), 486–496. https://doi.org/10.1016/j.dss.2011.10.009
- Ransbotham, S., Kiron, D., & Prentice, P.K. (2016). Beyond the hype: The hard work behind analytics success. MIT Sloan Management Review, 57(3), 3–16.
- 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
- Rowe, G., & Wright, G. (2011). The Delphi technique: Past, present, and future prospects (Intro. to the special issue). Technological Forecasting and Social Change, 78(9), 1487–1490. https://doi.org/10.1016/j.techfore.2011.09.002
- Saaty, T.L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9–26. https://doi.org/10.1016/0377-2217(90)90057-I
- Saaty, T.L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83–98. https://doi.org/10.1504/IJSSCI.2008.017590
- Shen, C.C., Chang, R.E., Hsu, C.J., & Chang, I.C. (2017). How business intelligence maturity enabling hospital agility. Telematics and Informatics, 34(1), 450–456. https://doi.org/10.1016/j.tele.2016.06.009
- Stefanou, C.J., & Skouras, A. (2015). E-government: Applications in the labor and social security regulatory area. Transforming Government: People. Process and Policy, 9(4), 448–464. https://doi.org/10.1108/TG-11-2014-0051
- Torres, R., Sidorova, A., & Jones, M.C. (2018). Enabling firm performance through business intelligence and analytics: A dynamic capabilities perspective. Information & Management, 55(7), 822–839. https://doi.org/10.1016/j.im.2018.03.010
- Visinescu, L.L., Jones, M.C., & Sidorova, A. (2017). Improving decision quality: The role of business intelligence. Journal of Computer Information Systems, 57(1), 58–66. https://doi.org/10.1080/08874417.2016.1181494
- 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
- Watson, H.J., Fuller, C., & Ariyachandra, T. (2004). Data warehouse governance: Best practices at Blue Cross and Blue Shield of North Carolina. Decision Support Systems, 38(3), 435–450. https://doi.org/10.1016/j.dss.2003.06.001
- Wixom, B., & Watson, H. (2010). The BI-based organization. International Journal of Business Intelligence Research (IJBIR), 1(1), 13–28. https://doi.org/10.4018/jbir.2010071702
- Wu, C. (2004). A readiness model for adopting Web services. Journal of Enterprise Information Management, 17(5), 361–371. https://doi.org/10.1108/17410390410560991
- Yeoh, W., & Koronios, A. (2010). Critical success factors for business intelligence systems. Journal of Computer Information Systems, 50(3), 23–32. DOI: 10.1080/08874417.2010.11645404
- Yeoh, W., & Popovič, A. (2015). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134–147. https://doi.org/10.1002/asi.23366
- Yoon, C.Y. (2008). A structural model of end-user computing competency and user performance. Knowledge-Based Systems, 21(5), 415–420. https://doi.org/10.1016/j.knosys.2008.03.002