Business intelligence as a key information and knowledge tool for strategic business performance management

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dc.contributor.authorRajnoha, Rastislav
dc.contributor.authorŠtefko, Róbert
dc.contributor.authorMerková, Martina
dc.contributor.authorDobrovič, Ján
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2016-03-09
dc.date.available2016-03-09
dc.date.defense2016-03-09
dc.date.issued2016-03-09
dc.description.abstractThe indicators, methods and models applied in performance management in the past were largely based on financial indicators and financial management methods. Of course, we do not claim that financial indicators are not currently necessary or relevant, but as the business results showed, the management based only on the financial statements is no longer enough. The paper focuses on the presentation of selected research results related to strategic business performance management. With the currently presented issue, we enter an area of research which is not as clearly defined as it was in the case of a traditional financially oriented approach to measuring and managing corporate performance which prevailed in the past. The aim of the paper is to analyse and synthetize findings regarding the chosen, mainly not traditional methods and models, which have started to be used for strategic business performance management. The results of our empirical scientific study provide interesting and valuable findings that the overall performance of industrial enterprises in Slovakia is to be looked at comprehensively strategically and not just in financial terms. Why are some industrial enterprises more efficient than others? What methods and procedures are applied by more efficient companies? The answers to these questions can be found in our paper. We recommend industry enterprises to apply selected methods and models of strategic business performance management. The key tool in increasing the overall performance of the enterprise in the selected Slovak industries seems to be employing a system of strategic performance management, supported by a knowledge-based Business Intelligence Information System.en
dc.formattext
dc.format.extent183-203 s.cs
dc.identifier.doi10.15240/tul/001/2016-1-013
dc.identifier.eissn2336-5604
dc.identifier.issn12123609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/13614
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAfonina, A. (2015). Strategic Management Tools and Techniques and Organizational Performance: Findings from the Czech Republic. Journal of Competitiveness, 7(3), 19-36. doi:10.7441/joc.2015.03.02.
dc.relation.isbasedonAndersen, T.J. (2000). Strategic planning, autonomous actions and corporate performance. , 33(2), 184-200. .
dc.relation.isbasedonAntošová, M., Mihalčová, B., & Csikosová, A. (2014). Assessement of the balanced scorecard system functionality in Slovak companies. Journal of Applied Economic Sciences, 9(1), 15-25.
dc.relation.isbasedonBaars, H., & Kemper, H.G. (2010). Business Intelligence in the Cloud?. In PACIS 2010 Proceedings – The Pacific Asia Conference on Information Systems (paper 145). Association for Information Systems: AIS Electronic Library. Retrieved from http://aisel.aisnet.org/pacis2010/145.
dc.relation.isbasedonBasl, J., & Blažíček, R. (2008). Podnikové informační systémy. Praha: Grada.
dc.relation.isbasedonBento, A., Bento, R., White, L. (2014). Strategic Performance Management System: Impact on business results. Journal of Computer Information Systems, 54(3), 25-33. doi:10.1080/08874417.2014.11645701.
dc.relation.isbasedonBisbe, J., & Malagueňo, R. (2012). Using strategic performance measurement systems for strategy formulation: Does it work in dynamic environments? Management Accounting Research, 23(4), 296-311. doi:.
dc.relation.isbasedon, P., & , D. (2007). Strategic Planning in Unstable Environments. , 40(1), 64-83. doi:.
dc.relation.isbasedonDash Wu, D., Chen, S., & Olson, D. (2014). Business intelligence in risk management: Some recent progresses. Information Sciences, 256, 1-7. doi:.
dc.relation.isbasedon, S. (1997). From knowledge to action: the impact of benchmarking on organizational performance. , 30(3), 427-441. doi:.
dc.relation.isbasedonElbashir, M., Collier, P., & Davern, M. (2008). Measuring the effects of business intelligence systems: The relationship between business process and organizational performance. , 9(3), 135-153. .
dc.relation.isbasedonEschenbach, R. (2000). Controlling. Praha: Codex.
dc.relation.isbasedonFrankovský, M., Štefko, R., & Baumgartner, F. (2006). Behavioral-situational approach to examining social intelligence. Studia psychological, 48(3), 251-257. Retrieved from http://search.proquest.com/docview/220103058?accountid=49283.
dc.relation.isbasedonGavurová, B. (2011). Systém Balanced Scorecard v podnikovom riadení. Ekonomický časopis, 59(2), 163-177.
dc.relation.isbasedonGhazanfari, M., Jafari, M., & Rouhani, S. (2011). A tool to evaluate the business intelligence of enterprise systems. Scientia Iranica, 18(6), 1579-1590. .
dc.relation.isbasedon, X., , J., & , X. (2010). The Role of Performance Measurement Systems in Strategy Formulation Processes. , 43(4), 477-497. .
dc.relation.isbasedonGraham, J., Lemmon, M., & Wolf, J. (2002). Does Corporate Diversification Destroy Value? The Journal of Finance, 57(2), 695-720. doi:10.1111/1540-6261.00439.
dc.relation.isbasedonHou, 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. doi:.
dc.relation.isbasedonChen, H., Chiang, R., & Storey, V. (2012). Business Intelligence and Analytics: from Big Data to Big Impact. MIS Quarterly, Special Issue: Business Intelligence Research, 36(4), 1165-1188. Retrieved from http://www.misq.org/skin/frontend/default/misq/pdf/V36I4/SI_ChenIntroduction.pdf.
dc.relation.isbasedonCheng, H., Lu, Y., & Sheu, C. (2009). An ontology-based business intelligence application in a financial knowledge management system. Expert Systems with Applications, 36(2), 3614-3622. .
dc.relation.isbasedon, R., & , K. (1998). The relationship between strategic priorities, management techniques and management accounting: an empirical investigation using a systems approach Accounting, Organization and Society, 23(3), 243-264. .
dc.relation.isbasedonChow, R., Golle, P., et al. (2009). Controlling data in the cloud: outsourcing computation without outsourcing control. In Proceedings of the 2009 ACM workshop on Cloud computing security (pp. 85-90). New York: ACM – Association for Computing Machinery. doi:.
dc.relation.isbasedonKnápková, A., Pavelková, D., & Jirčíková, E. (2010). Possibilities for the utilization of concepts BSC and EVA for measuring and managing performance with the support of benchmarking. In Knowledge management and innovation: A business competitive edge perspective (pp. 731-743). Norristown: IBIMA – International Business Information Management Association.
dc.relation.isbasedonLi, S., Shue, L., & Lee, S. (2008). Business intelligence approach to supporting strategy – making of ISP service management. Expert Systems with Applications, 35(3), 739-754. .
dc.relation.isbasedonMarimuthu, M. (2008). Mergers and Acquisitions: Some Empirical Evidence on Performance, Financial Characteristics and Firm Sustainability. International Journal of Business and Management, 3(10), 8-15. doi:10.5539/ijbm.v3n10p8.
dc.relation.isbasedonMazón, J., Garrigós, I., Daniel, F., & Trujillo, J. (2012). Introduction to the special issue of Business Intelligence and the Web. Decision Support Systems, 52(4), 851-852. .
dc.relation.isbasedon, W., , A., & Nail, L. (2004). The determinants of positive long-term performance in strategic mergers: Corporate focus and cash. , 28(3), 523-552. doi:.
dc.relation.isbasedon, P., & , J. (2010). Strategic Performance Measurement: Benefits, Limitations and Paradoxes. , 43(4), 465-476. doi.
dc.relation.isbasedonMolnár, Z., & Střelka, J. (2012). Competitive intelligence v malých a středních podnicích. E&M Ekonomie a Management, 15(3), 156-170.
dc.relation.isbasedonNofal, M., & Yusof, Z. (2013). Integration of Business Intelligence and Enterprise Resource Planning within Organizations. Procedia Technology, 11, 658-665. .
dc.relation.isbasedonNovák, P., & Popesko, B. (2014). Cost Variability and Cost Behaviour in Manufacturing Enterprises. Economics and Sociology, 7(4), 89-103. doi:10.14254/2071-789X.2014/7-4/6.
dc.relation.isbasedonPetrini, M., & Pozzebon, M. (2009). Managing sustainability with the support of business intelligence: Integrating socio-environmental indicators and organisational context. Journal of Strategic Information Systems, 18(4), 178-191. .
dc.relation.isbasedonRajnoha, R. (2010). Strategický manažment. Zvolen: Technická univerzita vo Zvolene.
dc.relation.isbasedonRajnoha, R., et al. (2013). Meranie a riadenie výkonnosti podnikov. Zvolen: Vydavateľstvo Technickej univerzity vo Zvolene.
dc.relation.isbasedonRajnoha, R., & Dobrovič, J. (2011). Simultánne riadenie ekonomiky a procesov znalosťou pridanej hodnoty. E&M Ekonomie a Management, 14(1), 53-69.
dc.relation.isbasedonRajnoha, R., & Lorincová, S. (2015). Strategic Management of Business Performance Based on Innovations and Information Support in Specific Conditions of Slovakia. Journal of Competitiveness, 7(1), 3-21. doi:10.7441/joc.2015.01.01.
dc.relation.isbasedonRamakrishnan, T., Jones, M., & Sidorova, A. (2012). Factors influencing business intelligence (BI) data collection strategies: An empirical investigation. Decision Support Systems. 52(2), 486-496. .
dc.relation.isbasedon, Eloff, M., & (2010). The management of security in Cloud computing. In doi:.
dc.relation.isbasedonRigby, D., & Bilodeau, B. (2011). Management Tools and Trends 2011. Boston: Bain & Company. Retrieved from http://www.loyaltyrules.com/management_tools/Management_Tools_and_Trend 2011_Final_Results.pdf.
dc.relation.isbasedonRigby, D., & Bilodeau, B. (2013). Management Tools and Trends 2013. Boston: Bain & Company. Retrieved from http://www.bain.com/Images/BAIN_BRIEF_Management_Tools_%26_Trends_ 2013.pdf.
dc.relation.isbasedon, J., , G., , A., & Lings, I. (2008). Strategic planning and performance: Extending the debate. , 61(2), 99-108. .
dc.relation.isbasedon, Y.K. (1993). Aiming high: Competitive benchmarking for superior performance. , 26(1), 39-44. doi:.
dc.relation.isbasedonSingh, H., & Samalia, H. (2014). A Business Intelligence Perspective for Churn Management. Procedia – Social and Behavioral Sciences, 109, 51-56. .
dc.relation.isbasedonSzabo, Z., Šoltés, M., & Herman, E. (2013). . E&M Ekonomie a Management, 16(1), 52-68.
dc.relation.isbasedonŠoltés, V., & Gavurová, B. (2015). Modification of performance measurement system in the intentions of globalization trends. Polish Journal of Management Studies, 11(2), 160-170.
dc.relation.isbasedonTuček, D., Hájková, M., & Tučková, Z. (2013). Utilization level of Business management in Czech enterprises – objectives and factors. E&M Ekonomie a Management, 16(2), 81-98.
dc.relation.isbasedonTutunea, M., & Rus, R. (2012). Business Intelligence solutions for SME´s. Procedia Economics and Finance, 3, 865-870.
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectrecenzeen
dc.subjectEUen
dc.subjectprávoen
dc.subjectJuriš, Filipen
dc.subject.classificationM15
dc.subject.classificationM21
dc.subject.classificationC81
dc.titleBusiness intelligence as a key information and knowledge tool for strategic business performance managementen
dc.typeArticleen
local.accessopen
local.citation.epage203
local.citation.spage183
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE&Men
local.relation.abbreviationE+Mcs
local.relation.issue1
local.relation.volume19
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