Technology, Organizational and Environmental Determinants of Business Intelligence Systems Adoption in Croatian SME: A Case Study of Medium-Sized Enterprise
In the last few years, examples from scientific literature and business practices show that the adoption of technological innovations increases enterprises' performance. Recently, when it comes to the field of information technology innovation, business intelligence systems (BISs) have drawn a significant amount of attention of the scientific circles. BISs can be understood as a form of technological innovation which can bring certain benefits to the organizations that are adopting it. Therefore, the aim of this paper is twofold: (1) to define determinants of successful BISs adoption in small and medium enterprises and thus contribute to this neglected research area and (2) to present the current state of BISs adoption in small and medium-sized companies. In order to do so, determinants are defined and classified into three dimensions, according to the Technology – Organization – Environment (TOE) theoretical framework that describes the impact of each dimension on technological innovations adoption. Moreover, paper brings a case study presenting the adoption of BISs in practice within an organization from tertiary (service) industry sector. Based on the results of the study, guidelines for more efficient, faster and easier BISs adoption are presented.
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 O. Acheampong and S. A. Moyaid, “An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector,” Journal of Administrative and Business Studies, vol. 2, no.2, pp. 84-85, 2016.
 I. Ajzen, “The theory of planned behavior,” Organizational behavior and human decision processes, vol. 50, no. 2, pp. 179-211, 1991.
 A. H. Anjariny and A. M. Zeki, “Development of a model for assessing organizations’ readiness toward successful Business Intelligence systems,” In Research and Innovation in Information Systems (ICRIIS), 2011, International Conference on Research and Innovation in Information Systems, Malaysia: Kuala Lampur, 2011, pp. 1-6.
 A. Audzeyeva and R. Hudson, “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, vol. 25, no. 1, pp. 29-46, 2015.
 R. C. Basole, C. D. Seuss and W. B. Rouse, “IT innovation adoption by enterprises: Knowledge discovery through text analytics,” Decision Support Systems, vol. 54, no. 2, pp. 1044-1054, 2013.
 V. Bhatiasevi and M. Naglis, “Elucidating the determinants of business intelligence adoption and organizational performance,” Information Development,
 R. Bose and R. Luo, “Integrative framework for assessing firms' potential to undertake Green IT initiatives via virtualization. A theoretical perspective. Journal of Strategic Information, vol. 20, np. 1, pp. 38-54, 2011.
 L. Buchanan and A. O Connell, “A brief history of decision-making,” Harvard Business Review, vol. 84, no. 1, p. 32, 2006.
 S. Chaudhuri, U. Dayal and V. Narasayya, “Communication of the ACM” on An overview of business intelligence technology, vol. 54, no. 8, pp. 88-98, 2011.
 S. Chaveesuk and S. Horkondee, “An integrated model of business intelligence adoption in Thailand logistics service firms,” In Proceedings 7th International Conference on Information Technology and Electrical Engineering (ICITEE, Chiang Mai, Thailand, 2015, pp. 904-908.
 M-H. Chuah and K-L. Wong, “A review of business intelligence and its maturity models,” African Journal of Business Management, vol. 5, no. 9, pp. 3424-3428, 2011.
 Computerworld, “The top 10 Critical Challenges for Business Intelligence Success”, Computerworld, 2003.
 K. Ćurko and K. Španić Kezan, Skladištenje podataka. Zagreb: University of Zagreb, 2006, Faculty of Economics and Business – Zagreb
 F. D. Davis, R. P. Bagozzi and P. R. Warshaw, “User acceptance of computer technology: a comparison of two theoretical models,” Management science, vol. 35, no. 8, pp. 982-1003, 1989.
 M. Z. Elbashir, P. A. Collier and M. J. Davern, “Measuring the effects of business intelligence systems: The relationship between business process and organizational performance,” International Journal of Accounting Information Systems, vol. 9, no. 3, 2008.
 G. R. Gangadharan and S. N. Swami, “Business Intelligence Systems: Design and Implementation Strategies”, paper presented at the 26th International Conference Information Technology Interfaces ITI, 2003.
 M. Hannula and V. Pirttimaki, “Business intelligence empirical study on the top 50 Finnish companies,” J Am Acad Bus Camb, vol. 2, no. 2, p. 59, 2003.
 A. Hejazi, N. Abdolvand and S. R. Harandi, “Assesing the organizational readiness for implementing BI systems,” International Journal of Information Technology Convergence and Services (IJTCS), vol. 6, no. 1, 2016.
 C. L. Iacovou, I. Benbasat and A. S. Dexter, “Electronic data interchange and small organizations: Adoption and impact of technology,” MIS quarterly, vol. 19, no 4, pp. 465-485, 1995.
 J. Koenig, “Seven Open Source Business Strtegies for Competitive Advantage”, 2004, Available at: https://pdfs.semanticscholar.org/f707/0248d349e7d1487d7b13cccdd931226cb8cb.pdf, Retrieved on 29/04/2019.
 A. Lönnqvist and V. Pirttimäki, “The measurement of business intelligence,” Information Systems Management, vol. 23, no. 1, pp. 32–40, 2006.
 L. Moss and S. Atre, Business Intelligence Roadmap: The Complete Lifecycle for Decision-Support Applications, Boston, MA: Addison-Wesley, 2003.
 L. Moss and S. Hoberman, “The Importance of Data Modeling as a Foundation for Business Insight,” Teradata, 2004.
 G. Muan Sang, L. Xu and P. de Vrieze “Implementing a Business Intelligence System for Small and Medium-sized Enterprises,” SQM 2016. 24th International Software Quality Management Conference Bournemouth, UK, 2016.
 S. Negash, Business intelligence, Communications of the AIS, vol. 13, no. 1, pp. 177–195, 2004.
 T. Oliveira and M. F. Martins, “Literature Review of Information Technology Adoption Models at Firm Level,” The Electronic Journal Information Systems Evaluation, vol. 14, no. 1, pp. 110-121, 2011.
 C. M. Olszak and E. Ziemba “Approach to building and implementing business intelligence systems,” Interdisciplinary Journal of Information, Knowledge and Management, vol. 2, no. 4, pp. 135–148, 2007.
 Ž. Panian and G. Klepac, Poslovna inteligencija. Zagreb, RH: Masmedia, 2003.
 S. Pavkov, P. Poščić and D. Jakšić, “Business intelligence systems yesterday, today and tomorrow – an overview,” in Proc. of University of Rijeka, vol 4, no. 1, pp. 97-108, 2016.
 B. Puklavec, T. Oliveira and A. Popovic, “Understanding the determinants of business intelligence system adoption stages: An empirical study of SMEs,” Industrial Management and Data System, vol. 118, no. 1, pp. 1236-261, 2018.
 E. M. Rogers, Diffusion of innovations (3rd ed.). New York: Macmillan Publishing, The Free Press, 1983.
 C. Schieder and P. Gluchowski, “Towards a consolidated research model for understanding business intelligence success,” In Proceedings to the 19th European Conference on Information Systems – ICT and Sustainable Service Development, V. K. Tuunainen,, J. Nandhakumar, M. Rossi and W. Soliman (eds.), European Conference on Information Systems (ECIS), Association for Information Systems AIS Electronic Library (AISeL), Helsinki, Finland, 2011, Paper 205.
 L. G. Tornatzky and M. Fleischer, The processes of technological innovation, Lexington, Mass: Lexington Books, 1990.
 E. Turban, R. Sharda, J. Aronson and D. King, Business Intelligence, 1st ed., New Jersey: Prentice Hall, 2007.
 V. Venkatesh, M. G. Morris, G. B. Davis and F. D. Davis, “User acceptance of information technology: toward a unified view,” MIS quarterly, vol. 27, no. 3, pp. 425-478, 2003.
 H. J. Watson “Tutorial: business intelligence – Past, present and future. Communications of the Association for Information Systems, vol. 25, no. 1, pp. 487–510, 2009.