Strategic Impact of Business Intelligence : A Review of Literature

Authors

  •   Anuj Tripathi Ph.D. Scholar, Amity Business School, F- 3 Block, Amity University, Sector - 125, Noida - 201 313, Uttar Pradesh
  •   Teena Bagga Professor, Amity Business School, F-3 Block, Amity University, Sector - 125, Noida - 201 313, Uttar Pradesh
  •   Rashmi K. Aggarwal Professor, Institute of Management Technology (IMT), Ghaziabad - 201 001, Delhi NCR

DOI:

https://doi.org/10.17010/pijom/2020/v13i3/151175

Keywords:

Business Intelligence

, Business Intelligence Solutions, Literature Review.

JEL Classification Codes

, M15, O32, O33.

Paper Submission Date

, January 10, 2020, Paper Sent back for Revision, February 20, Paper Acceptance Date, February 26, 2020.

Abstract

Review of literature is a very critical part of the research journey. The tenacity of this research was to explain a step-by-step guide to expedite understanding by presenting the critical components of the literature review process. We collected and synthesized business intelligence specific research papers from relevant journals with the help of web aggregator. This research paper discussed the strategy of analyzing 553 business intelligence research papers published from 2007-2018. We utilized exploratory research methodology to analyze the research conducted on BI solutions during the defined period. The research ripened a holistic, theoretically grounded, and relevant approach for reviewing the literature on business intelligence. It specified, defined, and positioned the existing BI solution research and helped identify the areas which need further exploration.

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Author Biography

Anuj Tripathi, Ph.D. Scholar, Amity Business School, F- 3 Block, Amity University, Sector - 125, Noida - 201 313, Uttar Pradesh

https://orcid.org/0000-0003-0872-7602

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Published

2020-03-31

How to Cite

Tripathi, A., Bagga, T., & Aggarwal, R. K. (2020). Strategic Impact of Business Intelligence : A Review of Literature. Prabandhan: Indian Journal of Management, 13(3), 35–48. https://doi.org/10.17010/pijom/2020/v13i3/151175

Issue

Section

Articles

References

Aldin, L., & De Cesare, S. (2011). A literature review on business process modelling: New frontiers of reusability. Enterprise Information Systems, 5(3), 359-383. http://dx.doi.org/10.1080/17517575.2011.557443

Anderson, T., & Shattuck, J. (2012). Design-based research: A decade of progress in education research ? Educational Researcher, 41(1), 16-25. http://dx.doi.org/10.3102/0013189X11428813

Azeroual, O., & Theel, H. (2019). The effects of using business intelligence systems on an excellence management and decision-making process by start-up companies : A case study. International Journal of Management Science and Business Administration, 4(3), 30-40. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.43.1004

Baars, H., & Kemper, H.- G. (2008). Management support with structured and unstructured data – An integrated business intelligence framework. Information Systems Management, 25(2), 132-148. http://dx.doi.org/10.1080/10580530801941058

Bagga, T. (2017). Accreditation compulsion or inducement: A perception study of various stakeholders. Prabandhan: Indian Journal of Management, 10(12), 7-19. http://dx.doi.org/10.17010/pijom/2017/v10i12/119977

Bagga, T., Bansal, S., Kumar, P., & Jain, S. (2016). New wave of accreditation in Indian higher education: Comparison of accreditation bodies for management programmes. Prabandhan: Indian Journal of Management, 9(8), 26-40. http://dx.doi.org/10.17010/pijom/2016/v9i8/99778

Chee,T., Chan, L.-K., Chuah, M.-H., Tan, C.-S., Wong, S.-F., & Yeoh, W. (2009). Business intelligence systems : State-of-the-art review and contemporary applications. Symposium on Progress in Information & Communication Technology. Retrieved from https://pdfs.semanticscholar.org/6572/047ad9af4143cea10849a2afda983c020860.pdf

Craig, I. D., Ferguson, L., & Finch, A. T. (2014). 11-Journals ranking and impact factors : How the performance of journals is measured. The Future of the Academic Journal, 2(1), 259-298. http://dx.doi.org/10.1533/9781780634647.259

Cronin, P., Ryan, F., & Coughlan, M. (2008). Undertaking a literature review: A step-by-step approach. British Journal of Nursing, 17(1), 38-43. http://dx.doi.org/10.12968/bjon.2008.17.1.28059

Dayal, U., Castellanos, M., Simitsis, A., & Wilkinson, K. (2009). Data integration flows for business intelligence. In, EDBT '09 : 12th International Conference on Extending Database Technology: Advances in Database Technology (pp. 1-11). ACM. http://dx.doi.org/10.1145/1516360.1516362

De Mesquita Fetzner, M., & Freitas, H. (2011). Business intelligence (BI) implementation from the perspective of individual change. Journal of Information Systems and Technology Management, 8(1), 25-50. http://dx.doi.org/10.4301/S1807-17752011000100002

El Mohadab, M., Bouikhalene, B., & Safi, S. (2018). Predicting rank for scientific research papers using supervised learning. Applied Computing and Informatics, 15(2), 182-190. http://dx.doi.org/10.1016/j.aci.2018.02.002

Elbashir, M. Z., Collier, P. A., & Davern, M. J. (2008). Measuring the effects of business intelligence systems : The relationship between business process and organizational performance. International Journal of Accounting Information Systems, 9(3), 135-153. http://dx.doi.org/10.1016/j.accinf.2008.03.001

Fitriana, R., Eriyatno, & Djatna, T. (2011). Progress in business intelligence system research : A literature review. International Journal of Basic & Applied Sciences, 11(3), 96-105.

Gantz, J., & Reinsel, D. (2012, December 29). The digital universe in 2020 : Big data, bigger digital shadows, and biggest growth in the Far East. IDC iView: IDC Analyze the Future 2007, No 2012, 1-16.

Ghazanfari , M., Jafari, M., & Rouhani, S. (2011). A tool to evaluate the business intelligence of enterprise systems. Scientia Iranica , 18(6), 1579-1590. http://dx.doi.org/10.1016/j.scient.2011.11.011

Greenhoot, A. F., & Dowsett, C. (2012). Secondary data analysis: An important tool for addressing developmental questions. Journal of Cognition and Development, 13(1), 13-18. http://dx.doi.org/10.1080/15248372.2012.646613

Gupta, P., Seetharaman, A., & Raj, J. R. (2013). The usage and adoption of cloud computing by small and medium businesses. International Journal of Information Management, 33(5), 861-874. http://dx.doi.org/10.1016/j.ijinfomgt.2013.07.001

Han, J., Kamber, M., & Pei, J. (2012). Data mining concepts and techniques (3rd ed.). Waltham, MA, USA: Morgan Kaufmann Publishers.

Hawking, P., & Sellitto, C. (2010). Business intelligence (BI) critical success factors. In, 21st Australasian Conference on Information Systems Proceedings (pp. 1-3). Brisbane: Association for Information Systems AIS Electronic Library (AISeL).

Hedgebeth, D. (2007). Data-driven decision making for the enterprise: An overview of business intelligence applications. Vine Journal of Information and Knowledge Management Systems, 37(4), 414-420. http://dx.doi.org/10.1108/03055720710838498

Horlach, B., Drews, P., & Schirmer, I. (2016). Bimodal IT : Business-IT alignment in the age of digital transformation. In, Multikonferenz Wirtschaftsinformatik (MKWI) (pp. 1417-1428). Publons.

Hou, C.-K. (2012). Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems : An empirical study of Taiwan's electronics industry. International Journal of Information Management, 32(6), 560-573. http://dx.doi.org/10.1016/j.ijinfomgt.2012.03.001

Indulska, M., Green, P., Recker, J., & Rosemann, M. (2009). Business process modeling: Perceived benefits. In, A. H. F. Laender et al. (eds.), International Conference on Conceptual Modeling (5829, pp. 458-471). Springer. http://dx.doi.org/10.1007/978-3-642-04840-1_34

Ionescu, A. B., & Podaru, S. (2014). Business intelligence. A presentation of the current lead solutions and a comparative analysis of the main providers. Database Systems Journal, 5(2), 60-69.

Isenberg, P., Isenberg, T., Sedlmair, M., Chen, J., & Möller, T. (2014). Visualization according to research paper keywords. IEEE Conference on Visualization (VIS). Los Alamitos, United States : IEEE.

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. http://dx.doi.org/10.1016/j.im.2012.12.001

Jesson, J., & Lacey, F. (2006). How to do (or not to do) a critical literature review. Pharmacy Education, 6(2), 139-148. http://dx.doi.org/10.1080/15602210600616218

Jourdan, Z., Rainer, R. K., & Marshall, T. E. (2008). Business intelligence: An analysis of the literature. Information Systems Management, 25(2), 121-131. http://dx.doi.org/10.1080/10580530801941512

Katal, A., Wazid, M., & Goudar, R. H. (2013). Big data: Issues, challenges, tools and good practices. In, 2013 Sixth International Conference on Contemporary Computing (IC3) (pp. 404-409). IEEE : Noida. http://dx.doi.org/10.1109/IC3.2013.6612229

Kownatzki, M., Walter, J., Floyd, S. W., & Lechner, C. (2013). Corporate control and the speed of strategic business unit decision making. Academy of Management Journal, 56(5), 1295-1324. http://dx.doi.org/10.5465/amj.2011.0804

Küng, P., & Hagen, C. (2007). The fruits of business process management: An experience report from a Swiss bank. Business Process Management Journal, 13(4), 477-487. http://dx.doi.org/10.1108/14637150710763522

Kurniawan, Y., Gunawan, A., & Kurnia, S. G. (2014). Application of business intelligence to support marketing strategies : A case study approach. Journal of Theoretical and Applied Information Technology, 64(1), 240-248.

López-Cózar, E., Orduna-Malea, E., & Martín-Martín, A. (2017). Google Scholar as a data source for research assessment. SocArXiv Papers. http://dx.doi.org/10.31235/osf.io/pqr53

Lu, R., & Sadiq, S. (2007). A survey of comparative business process modeling approaches. In, W. Abramowicz (ed.), Business Information Systems. BIS 2007. Lecture Notes in Computer Science, Vol. 4439. Berlin, Heidelberg : Springer. http://dx.doi.org/10.1007/978-3-540-72035-5_7

Lückmann, P., & Feldmann, C. (2017). Success factors for business process improvement projects in small and medium sized enterprises-Empirical evidence. Procedia Computer Science, 121, 439-445. http://dx.doi.org/10.1016/j.procs.2017.11.059

Masli, A., Richardson, V. J., Sanchez, J. M., & Smith, R. E. (2011). The business value of IT : A synthesis and framework of Archival Research. Journal of Information Systems, 25(2), 81-116. http://dx.doi.org/10.2308/isys-10117

McGrath, J. (1982). Dilemmatics : The study of research choices and dilemmas. In J. E. McGrath, J. Martin, & R. A. Kulka (eds.), Judgment calls in research (pp. 69-102). Newhury Park, GA: Sage.

Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314-1324. http://dx.doi.org/10.1016/j.eswa.2014.09.024

Olszak, C. M., & Ziemba, E. (2007). Approach to building and implementing business intelligence systems. Interdisciplinary Journal of Information, Knowledge, and Management, 2, 135-148. http://dx.doi.org/10.28945/105

Olszak, C. M., & 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, 12-150. http://dx.doi.org/10.28945/1584

Oswaldo, M.-Z., Sergio , L.-M., Cáceres, C., & Schweimanns, N. (2016). Knowledge management framework using enterprise architecture and business intelligence. In, ICEIS 2016 : Proceedings of the 18th International Conference on Enterprise Information Systems (pp. 244-249). http://dx.doi.org/10.5220/0005916002440249

Phillips-Wren, G., Iyer, L. S., Kulkarni, U., & Ariyachandra, T. (2015). Business analytics in the context of big data : A roadmap for research. Communications of the Association for Information Systems, 37, 448-472. http://dx.doi.org/10.17705/1CAIS.03723

PopoviÄ, A., Coelho, P. S., & JakliÄ, J. (2009). The impact of business intelligence system maturity on information quality. Information Research, 14(4), 23-42.

PopoviÄ, A., Hackney, R., Coelho, P. S., & JakliÄ, J. (2012). Towards business intelligence systems success : Effects of maturity and culture on analytical decision making. Decision Support Systems, 54(1), 729-739. http://dx.doi.org/10.1016/j.dss.2012.08.017

Power, D. (2007, May 31, 2003). A brief history of decision support systems. Retrieved from DSSResources.com : http://dssresources.com/history/dsshistoryv28.html

Pratt, M. K. (2017, September 1). What is BI? Business intelligence strategies and solutions (IDG Communication). Retrieved from https://www.cio.com/article/2439504/business-intelligence/business-intelligencedefinitionand-solutions.html

Preko, M., & Kester, Q. A. (2015). The study of the impact of business intelligence in the banking industry of Ghana. International Journal of Emerging Research in Management & Technology, 4(8), 31-36.

Provost, F., & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data, 1(1), 51-59. http://dx.doi.org/10.1089/big.2013.1508

Ranjan, J. (2008). Business justification with business intelligence. VINE, 38(4), 461-475. http://dx.doi.org/10.1108/03055720810917714

Ranjan, J. (2009). Business intelligence: Concepts, components, techniques and benefits. Journal of Theoretical and Applied Information Technology, 9(1), 60-70.

Rashid Al-Azmi, A.-A. (2013). Data, text, and web mining for business intelligence : A survey. International Journal of Data Mining & Knowledge Management Process (IJDKP), 3(2), 1-21. http://dx.doi.org/10.5121/ijdkp.2013.3201

Rouhani , S., Ashrafi, A., Zare Ravasan, A., & Afshari , S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19-50. http://dx.doi.org/10.1108/JEIM-12-2014-0126

Rouhani, S., Asgari, S., & Mirhosseini, S. V. (2012). Review study: Business intelligence concepts and approaches. American Journal of Scientific Research, 50, 62-75.

Sahay, B., & Ranjan, J. (2008). Real time business intelligence in supply chain analytics. Information Management & Computer Security, 16(1), 28-48. http://dx.doi.org/10.1108/09685220810862733

Sangar, A. B., & Iahad, N. B. (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.

Scandura, T. A., & Williams, E. A. (2000). Research methodology in management : Current practices, trends, and implications for future research. Academy of Management Journal, 43(6), 1248-1264. http://dx.doi.org/10.2307/1556348

Sekaran, U., & Roger , B. (2016). Research methods for business: A skill building approach (Vol. 7). Chichester, West Sussex, United Kingdom: John Wiley & Sons.

Soper, D. S., & Turel, O. (2012). An n-Gram analysis of Communications 2000-2010. Communications of the ACM, 55(5), 81-87. http://dx.doi.org/10.1145/2160718.2160737

Sriramoju, S. B. (2017). Opportunities and security implications of big data mining. International Journal of Research in Science & Engineering, 3(6), 44-58.

Srivasatava, S., & Bagga, T. (2014). A comparative study on the usage of HRIS in the IT/ITES, services, and manufacturing sectors in the Indian scenario. Prabandhan: Indian Journal of Management, 7(6), 21-36. http://dx.doi.org/10.17010/pijom/2014/v7i6/59325

Straub, D. W. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2), 147-169. http://dx.doi.org/10.2307/248922

Taheriyan, M. (2011). Classification of research papers based on interrelationships analysis. In, Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling, and Simulation (KDMS ’11) (pp. 39 – 44). New York, NY : Association for Computing Machinery. http://dx.doi.org/10.1145/2023568.2023579

Tracy, R. P. (2007). IT security management and business process automation: Challenges, approaches, and rewards. Information Systems Security, 16(2), 114-122. http://dx.doi.org/10.1080/10658980601051706

Trkman, P. (2010). The critical success factors of business process management. International Journal of Information Management, 30(2), 125-134. http://dx.doi.org/10.1016/j.ijinfomgt.2009.07.003

Turban, E., Aronson, J. E., & Liang, T. P. (2005). Decision support systems and intelligent systems (Vol. 7). New Jersey, USA: Prentice-Hall, Inc.

Turban, E., Sharda, R., & Delen, D. (2010). Decision support and business intelligence systems. Upper Saddle River, NJ : Prentice Hall Press.

Vishnoi, S. K., Bagga, T., Sharma, A., & Wani, S. N. (2018). Artificial intelligence enabled marketing solutions : A review. Indian Journal of Economics & Business, 17 (4), 167-177.

Vishnoi, S. K., Tripathi, A., & Bagga, T. (2019). Intelligent automation, planning & implementation : A review of constraints. International Journal on Emerging Technologies, 10 (1a), 174-178.

Viswanath, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204. http://dx.doi.org/10.1287/mnsc.46.2.186.11926

Vom Brocke, J., Simons, A., Niehaves, B., Niehaves, B., Reimer, K., Plattfaut, R., & Cleven, A. (2009). Reconstructing the giant: On the importance of rigour in documenting the literature search process. In, ECIS 2009 Proceedings. 161. https://aisel.aisnet.org/ecis2009/161

Wang, Y., Kung, L. A., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for health care organizations. Science Direct, 126, 3-13. http://dx.doi.org/10.1016/j.techfore.2015.12.019

Webster , J., & Watson , R. T. (2002). Analyzing the past to prepare for the future : Writing a literature review. MIS Quarterly, 26(2), 13-23.

Witten, I. H., & Frank, E. (2005). Data mining: Practical machine learning tools and technique. San Francisco, CA, USA: Morgan Kaufmann Publishers.

Zhang, H., Wang, S., Lou, J.- G., & Zhang, D. (2015). Codehow: Effective code search based on API understanding and extended boolean model (E). IEEE/ACM International Conference on IEEE (pp. 260-270). China : School of Software, Shanghai Jiao Tong University.