Ales Popovic

  • Tuesday, 29 July 2014 16:23

Ales Popovic


Aleš Popovič, Assistant Professor,
Doctor in Information Management (University of Ljubljana - Slovenia)


Telephone: +38615892783
Fax: +38615892698
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


Ales Popovic is an Associate Professor of Information Management at the Faculty of Economics at the University of Ljubljana and visiting professor at NOVA Information Management School (NOVA IMS). He is a lecturer of several courses at the undergraduate and masters degree level. In 2010 he received the Young Professor Award of the year from University of Ljubljana. He holds BS, MSC and Ph.D. degrees in Information Management from the University of Ljubljana. His current main research focuses on business intelligence, information management, and business process management. He is the (co)author of numerous papers in national and international professional and scientific journals. He has collaborated in many applied projects in the areas of business process modeling, analysis, renovation and informatization and in the area of business intelligence. More information about Ales can be found on his personal webpage:


Journal Article

  • Beretta, S.; Castelli, M.; Muñoz, L.; Trujillo, L.; Martínez, Y.; Popovič, A.; Milanesi, L. & Merelli, L. (2018). A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complexity, Article ID 4963139. doi:
  • 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 (December), 305-318. doi:
  • 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. (advanced online publication on 24 october 2016). DOI: 10.1007/s10796-016-9720-4
  • Popovič, A., Puklavec, B., & Oliveira, T. (2018). Justifying business intelligence systems adoption in SMEs: Impact of systems use on firm performance. Industrial Management and Data Systems. [Advanced online publication on September 2018]. DOI: 10.1108/IMDS-02-2018-0085. URL:
  • Puklavec, B., Oliveira, T., & Popovič, A. (2018). Understanding the determinants of business intelligence system adoption stages: an empirical study of SMEs. Industrial Management & Data Systems, 118(1), 236-261. [Advanced publication online on 22 december 2017]. DOI: 10.1108/IMDS-05-2017-0170.
  • Vaneschi, L.; Horn, D. M.; Castelli, M.; Popovic, A. (2018). An Artificial Intelligence System for Predicting Customer Default in E-Commerce. Expert Systems With Applications, 104, 1-21. doi:
  • Castelli, M., Manzoni, L., Silva, S., Vanneschi, L., & Popovic, A. (2017). The influence of population size in geometric semantic GP. Swarm and Evolutionary Computation, 32, 110-120. DOI: 10.1016/j.swevo.2016.05.004
  • Castelli, M., Sormani, R., Trujillo, L., & Popovič, A. (2017). Predicting per capita violent crimes in urban areas: an artificial intelligence approach. Journal of Ambient Intelligence and Humanized Computing, 8(1), 29-36. DOI: 10.1007/s12652-015-0334-3
  • Castelli, M., Vanneschi, L., Trujillo, L., & Popovič, A. (2017). Stock index return forecasting: Semantics-based genetic programming with local search optimiser. International Journal of Bio-Inspired Computation, 10(3), 159-171. DOI: 10.1504/IJBIC.2017.086699
  • Jie Ren, William Yeoh, Mong Shan Ee, Aleš Popovič (2017). Online consumer reviews and sales: Examining the chicken-egg relationships. Journal of the Association for Information Science and Technology (Advanced online publication on 17 october, 2017). doi:10.1002/asi.23967
  • Kulkarni, Uday; Robles-Flores, Jose A.; and Popovič, Aleš (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) Article 1. Available at:
  • Mauro Castelli, Ivo Gonçalves, Leonardo Trujillo Aleš Popovič (2017). An evolutionary system for ozone concentration forecasting, Information Systems Frontiers, 19 (5), 1123–1132.
  • Mauro Castelli, Leonardo Trujillo, Ivo Gonçalves and Aleš Popovič (2017). An evolutionary system for the prediction of high performance concrete strength. Computers and concrete: an international journal, 19(6), 651-658. DOI: 10.12989/cac.2017.19.6.651
  • Mauro Castelli, Luca Manzoni, Leonardo Vanneschia, Aleš Popovič (2017). An Expert System for Extracting Knowledge from Customers' Reviews: The Case of, Inc. Expert Systems with Applications, 84, 117-126.
  • Richards, G., Yeoh, W., Chong, A. Y. L., & Popovič, A. (2017). Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis. Journal of Computer Information Systems (advanced online publication on 31 july 2017), 1-9. DOI: 10.1080/08874417.2017.1334244
  • Castelli, M., Manzoni, L., & Popovic, A. (2016). An Artificial Intelligence System to Predict Quality of Service in Banking Organizations. Computational Intelligence and Neuroscience. doi: 10.1155/2016/9139380
  • Castelli, M., Manzoni, L., Vanneschi, L., Silva, S., & Popovic, A. (2016). Self-tuning geometric semantic Genetic Programming. Genetic Programming and Evolvable Machines, 17(1), 55-74. doi: 10.1007/s10710-015-9251-7
  • Castelli, M., Trujillo, L., Vanneschi, L., & Popovic, A. (2016). Prediction of relative position of CT slices using a computational intelligence system. [Article]. Applied Soft Computing, 46, 537-542. doi: 10.1016/j.asoc.2015.09.021
  • Castelli, M., Vanneschi, L., & Popovic, A. (2016). Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement. Computational Intelligence and Neuroscience, 2016, 12. doi: 10.1155/2016/8326760
  • Castelli, M., Vanneschi, L., & Popovic, A. (2016). Parameter evaluation of geometric semantic genetic programming in pharmacokinetics. International Journal of Bio-Inspired Computation, 8(1), 42-50. doi: 10.1504/ijbic.2016.074634
  • Castelli, M., Vanneschi, L., Manzoni, L., & Popovič, A. (2016). Semantic genetic programming for fast and accurate data knowledge discovery. Swarm and Evolutionary Computation, 26, 1-7. doi:
  • Enríquez-Zárate, J., Trujillo, L., de Lara, S., Castelli, M., Z-Flores, E., Muñoz, L., & Popovič, A. (2017). Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50, 212-222. doi:
  • Miltgen, C. L., Henseler, J., Gelhard, C., & Popovič, A. Introducing new products that affect consumer privacy: A mediation model. Journal of Business Research. doi:
  • Peters, T., Işik, Ö., Tona, O., & Popovič, A. (2016). How system quality influences mobile BI use: The mediating role of engagement. International Journal of Information Management, 36(5), 773-783. doi: 10.1016/j.ijinfomgt.2016.05.003
  • Tassabehji, R., Hackney, R., & Popovic, A. (2016). Emergent digital era governance: Enacting the role of the 'institutional entrepreneur' in transformational change. Government Information Quarterly, 33(2), 223-236. doi: 10.1016/j.giq.2016.04.003
  • Yeoh, W., & Popovič, A. (2016). 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. doi: 10.1002/asi.23366
  • Bole, U., Popovic, A., Zabkar, J., Papa, G., & Jaklic, J. (2015). A case analysis of embryonic data mining success. International Journal of Information Management, 35(2), 253-259. doi: 10.1016/j.ijinfomgt.2014.12.001
  • Castelli, M., Trujillo, L., Vanneschi, L., & Popovic, A. (2015). Prediction of energy performance of residential buildings: A genetic programming approach. Energy and Buildings, 102, 67-74. doi: 10.1016/j.enbuild.2015.05.013
  • Castelli, M., Vanneschi, L., & Popovic, A. (2015). Predicting burned areas of forestry fires: an artificial intelligence approach. [Article]. Fire Ecology, 11(1), 106-118. doi: 10.4996/fireecology.1101106
  • Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13. doi:
  • Oliveira, T., Faria, M., Thomas, M. A., & Popovic, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703. doi: 10.1016/j.ijinfomgt.2014.06.004
  • 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. doi:
  • Puklavec, B., Oliveira, T., & Popovic, A. (2014). Unpacking Business Intelligence Systems Adoption Determinants: An Exploratory Study of Small and Medium Enterprises. Economic and Business Review, 16(2), 185-213.
  • Miltgen, C. L., Popovic, A., & Oliveira, T. (2013). Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context. Decision Support Systems, 56, 103-114.
  • Vukšić, V. B., Bach, M. P., & Popovič, A. (2013). Supporting performance management with business process management and business intelligence: A case analysis of integration and orchestration. International Journal of Information Management, 33(4), 613-619. doi:
  • 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. doi:
  • Popovic, A., & Habjan, A. (2012). Exploring the effects of information quality change in road transport operations. Industrial Management & Data Systems, 112(8-9), 1307-1325. doi: 10.1108/02635571211278947
  • Lukman, T., Hackney, R., Popovic, A., Jaklic, J., & Irani, Z. (2011). Business Intelligence Maturity: The Economic Transitional Context Within Slovenia. Information Systems Management, 28(3), 211-222. doi: 10.1080/10580530.2011.585583
  • Trkman, P., Kovačič, A., & Popovič, A. (2011). Phasen der SOA-Einführung. WIRTSCHAFTSINFORMATIK, 53(4), 201-212. doi: 10.1007/s11576-011-0281-3
  • Trkman, P., Kovacic, A., & Popovic, A. (2011). SOA Adoption Phases A Case Study. Business & Information Systems Engineering, 3(4), 211-220. doi: 10.1007/s12599-011-0168-2
  • Jaklic, J., Coelho, P. S., & Popovic, A. (2009). Information quality improvement as a measure of business intelligence system benefits. . WSEAS Transactions on Business and Economics, 6(9), 502-512.
  • Popovic, A., Coelho, P. S., & Jaklic, J. (2009). The impact of Business Intelligence Systems Maturity on Information Quality. Information Research 14(4), paper 417.
  • Turk, T., Jaklic, J., & Popovic, A. (2008). Vpliv zrelosti poslovne inteligence na kakovost informacij za poslovno odločanje kot vzvod za izboljšanje poslovne vrednosti. Uporabna informatika, 16(1), 44-58.

Book Section

  • Popovic, A., & Jaklic, J. (2014). Understanding the Influence of Business Intelligence Systems on Information Quality: The Importance of Business Knowledge Information Quality and Governance for Business Intelligence (pp. 20-43). Hershey, PA, USA: IGI Global.
  • Jaklič, J., A. Popovič, et al. (2011). The Impact of Quality Information Provided by Business Intelligence Systems on the Use of Information in Business Processes ENTERprise Information Systems. M. M. Cruz-Cunha, J. Varajão, P. Powell and R. Martinho, Springer Berlin Heidelberg. 219: 158-167.
  • Coelho, P. S., Popovic, A., & Jaklic, J. (2010). The Role of Business Knowledge in Improving Information Quality Provided by Business Intelligence Systems. In J. E. Quintela Varajao, M. M. Cruz Cunha, G. D. Putnik & A. Trigo (Eds.), Enterprise Information Systems (Vol. 110, pp. 148-157): Springer-Verlag.
  • Jaklic, J., Coelho, P. S., & Popovic, A. (2009). Do Business Intelligence Systems Actually Improve Information Quality? In N. Mastorakis, M. Demiralp, I. Rudas, C. A. Bulucea & L. Rogozea (Eds.), Mathematical Methods and Applied Computing, Vol 1 (pp. 144-149). Athens: World Scientific and Engineering Acad and Soc.

Conferece Proceeding

  • Reis-Marques, C., & Popovic, A. (2016). Managing digitally enabled innovation: A conceptual framework. Paper presented at the 10th European Conference on Information Systems Management, ECISM 2016.
  • Peters, T., Popovic, A., Isik, O., & Weigand, H. (2014, June 9-11). The Role of Mobile BI Capabilities in Mobile BI Success. Paper presented at the Twenty Second European Conference on Information Systems, Tel Aviv.
  • Puklavec, B., Oliveira, T., & Popovic, A. (2014, 7-9 August). BIS Adoption Determinants in SMEs: An Exploratory Study. Paper presented at the Twentieth Americas Conference on Information Systems, Savannah.
  • Richards, G., Yeoh, W., Chong, A. Y.-L., & Popovic, A. (2014, June 24-28). An empirical study of business intelligence impact on corporate performance management Paper presented at the PACIS 2014 : Proceedings of the Pacific Asia Conference on Information Systems, Chengdu, China.
  • Coelho, P. S., Popovic, A., & Jaklic, J. (2010, 8-12 June). Absortion of Information provided by Business Intelligence Systems: The effect of information quality on the use of information in business processes. Paper presented at the ICEIS2010: 12th International Conference on enterprise Information Systems, Funchal, Portugal.
  • Habjan, A., & Popovic, A. (2007). How internal processes benefit from IT investments and therefore enhance company's competitiveness - A case study of Slovenian small and medium sized companies. Paper presented at the Proceedings of the 6th Wseas International Conference on E-Activities: E-Activities: Networking the World, Athens.
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