1. bookVolume 2 (2021): Issue 2 (December 2021)
Journal Details
First Published
09 Jul 2020
Publication timeframe
2 times per year
access type Open Access

Success determinants of projects of business software implementation: Research framework

Published Online: 02 Feb 2022
Volume & Issue: Volume 2 (2021) - Issue 2 (December 2021)
Page range: 1 - 16
Received: 03 Sep 2021
Accepted: 07 Sep 2021
Journal Details
First Published
09 Jul 2020
Publication timeframe
2 times per year

The experience of many organizations so far has shown that the risk of failure of the software implementation project is high, and in order to reduce this risk, significant efforts have been made so far to implement the project management methodology. However, research to date shows that, despite improvements in project management, a relatively significant number of projects still fail by some of the performance criteria. A methodology is proposed that includes: (i) analysis of previous research; (ii) design a research instrument to measure project performance and define key determinants of project performance; (iii) development of a multi-criteria model for measuring the performance of software projects; (iv) development of software project management performance models for Croatian organizations using a data mining approach. These activities can be carried out using the following methods: bibliographic analysis of previous research, survey research method, descriptive and inferential statistics methods, structural equations method and data mining methods (supervised and unsupervised learning, text mining). The results of this research framework can be used as a starting point for researching the success of business software implementation projects.


Ahmad, M. M., and Cuenca, R. P. (2013). Critical success factors for ERP implementation in SMEs, Robotics and Computer-Integrated Manufacturing, 29(3), 104-111.10.1016/j.rcim.2012.04.019Search in Google Scholar

Aloini, D., Dulmin, R., and Mininno, V. (2007). Risk management in ERP project introduction: Review of the literature. Information & Management, 44(6), 547-567.10.1016/j.im.2007.05.004Search in Google Scholar

Bandara, W., Alibabaei, A., and Aghdasi, M. (2009), Means of achieving business process management success factors. U P. Ein-Dor, A. Poulymenakou, & M. Amami (ur.), Proceedings of the 4th Mediterranean conference on information systems. Athens: Athens University of Economics and Business.Search in Google Scholar

Barth, C., and Koch, S. (2019). Critical success factors in ERP upgrade projects. Industrial Management & Data Systems, 119(3), 656-675.10.1108/IMDS-01-2018-0016Search in Google Scholar

Bass, B. M. (1990). From transactional to transformational leadership: Learning to share the vision. Organizational dynamics, 18(3), 19-31.10.1016/0090-2616(90)90061-SSearch in Google Scholar

Beatty, R. C., and Williams, C. D. (2006). ERP II: best practices for successfully implementing an ERP upgrade, Communications of the ACM, 49(3), 105-109.10.1145/1118178.1118184Search in Google Scholar

Belout, A., and Gauvreau, C. (2004). Factors influencing project success: the impact of human resource management. InternationalJjournal of Project Management, 22(1), 1-11.10.1016/S0263-7863(03)00003-6Search in Google Scholar

Catal, C., and Diri, B. (2009). A systematic review of software fault prediction studies. Expert systems with applications, 36(4), 7346-7354.10.1016/j.eswa.2008.10.027Search in Google Scholar

Condori-Fernandez, N., and Lago, P. (2018). Characterizing the contribution of quality requirements to software sustainability. Journal of Systems and Software, 137, 289-305.10.1016/j.jss.2017.12.005Search in Google Scholar

Cserhati, G., and Szabo, L. (2014). The relationship between success criteria and success factors in organisational event projects. International Journal of Project Management, 32(4), 613-624.10.1016/j.ijproman.2013.08.008Search in Google Scholar

de Barcelos Tronto, I. F., da Silva, J. D. S., and Sant’Anna, N. (2008). An investigation of artificial neural networks based prediction systems in software project management. Journal of Systems and Software, 81(3), 356-367.10.1016/j.jss.2007.05.011Search in Google Scholar

Davenport, T. H. (1998). Putting the enterprise into the enterprise system, Harvard Business Review, 76(4), 121-131.Search in Google Scholar

Delgado, A., Calegari, D., Milanese, P., Falcon, R., and García, E., (2015). A Systematic Approach for Evaluating BPM Systems: Case Studies on Open Source and Proprietary Tools, Open Source Systems: Adoption and Impact. Proceedings of 11th IFIP WG 2.13 International Conference, Florence, Italy, May 16-17, 2015, 81-90.Search in Google Scholar

Fabac, R., Radošević, D., and Pihir, I. (2010). Frequency of use and importance of software tools in project management practice in Croatia. In Proceedings of 32nd International Conference on Information Technology Interfaces (ITI), Cavtat/Dubrovnik, Croatia, June 21-24, 2010, 465-470.Search in Google Scholar

Fan, P. (2006). Catching up through developing innovation capability: evidence from China’s telecom-equipment industry. Technovation, 26(3), 359-368.10.1016/j.technovation.2004.10.004Search in Google Scholar

Fiedler, F. E. (1996). Research on leadership selection and training: One view of the future. Administrative Science Quarterly, 41(2), 241-250.10.2307/2393716Search in Google Scholar

Fui-Hoon Nah, F., Lee-Shang Lau, J., and Kuang, J. (2001). Critical factors for successful implementation of enterprise systems. Business Process Management Journal, 7(3), 285-296.10.1108/14637150110392782Search in Google Scholar

Gerstenfeld, A. (1976). A study of successful projects, unsuccessful projects, and projects in process in West Germany. IEEE Transactions on Engineering Management, EM-23(3), 116-123.10.1109/TEM.1976.6447172Search in Google Scholar

Gheni, A. Y., Jusoh, Y. Y., Jabar, M., and Ali, N. M. (2017). The Critical Success Factors (CSFs) for IT Projects. Journal of Telecommunication, Electronic and Computer Engineering, 9, 13-17.Search in Google Scholar

Grisdale, W., and Seymour, L. F. (2011). Business process management adoption: A case study of a South African supermarket retailer. Proceedings of the South African Institute of Computer Scientists and Information Technologists conference on knowledge, innovation and leadership in a diverse, multidisciplinary environment (pp. 106–115). Cape Town, South Africa, New York, NY: ACM.Search in Google Scholar

Hanisch, B., and Wald, A. (2014). Effects of complexity on the success of temporary organizations: Relationship quality and transparency as substitutes for formal coordination mechanisms. Scandinavian Journal of Management, 30(2), 197-213.10.1016/j.scaman.2013.08.005Search in Google Scholar

Hornstein, H. A. (2015). The integration of project management and organizational change management is now a necessity. International Journal of Project Management, 33(2), 291-298.10.1016/j.ijproman.2014.08.005Search in Google Scholar

Janssen, M., Estevez, E., and Janowski, T. (2014). Interoperability in Big, Open, and Linked Data-Organizational Maturity, Capabilities, and Data Portfolios. Computer, 47(10), 44-49.10.1109/MC.2014.290Search in Google Scholar

Jiang, J. J., Chang, J. Y., Chen, H. G., Wang, E. T., and Klein, G. (2014). Achieving IT program goals with integrative conflict management. Journal of Management Information Systems, 31(1), 79-106.10.2753/MIS0742-1222310104Search in Google Scholar

Jin, C., and Jin, S. W. (2015). Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization. Applied Soft Computing, 35, 717-725.10.1016/j.asoc.2015.07.006Search in Google Scholar

Joslin, R., and Müller, R. (2015). Relationships between a project management methodology and project success in different project governance contexts. International Journal of Project Management, 33(6), 1377-1392.10.1016/j.ijproman.2015.03.005Search in Google Scholar

Judgev, K., and Muller, R., 2005. A retrospective look at our evolving understanding of project success. Project Management Journal, 36 (4), 19-31.10.1177/875697280503600403Search in Google Scholar

Kandelousi, N. S. (2011). Key success factors for managing projects. World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 5(11), 1541-1545.Search in Google Scholar

Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms.New York, NY: John Wiley & Sons.10.1002/9781118029145Search in Google Scholar

Kappelman, L. A., McKeeman, R., and Zhang, L. (2006). Early warning signs of IT project failure: The dominant dozen. Information systems management, 23(4), 31-36.10.1201/1078.10580530/46352.23.4.20060901/95110.4Search in Google Scholar

Keil, M., Tiwana, A., and Bush, A. (2002). Reconciling user and project manager perceptions of IT project risk: a Delphi study. Information Systems Journal, 12(2), 103-119.10.1046/j.1365-2575.2002.00121.xSearch in Google Scholar

Khedhaouria, A., Montani, F., and Thurik, R. (2017). Time pressure and team member creativity within R&D projects: The role of learning orientation and knowledge sourcing. International Journal of Project Management, 35(6), 942-954.10.1016/j.ijproman.2017.04.002Search in Google Scholar

Kim, D., Jung, J., You, Y., and Kim, C. (2015). The influence of the process of creating organizational culture on organizational commitment and job involvement. Indian Journal of Science and Technology, 8(S7), 383-393.10.17485/ijst/2015/v8iS7/70415Search in Google Scholar

Kluczek, A. (2016). Application of multi-criteria approach for sustainability assessment of manufacturing processes. Management and Production Engineering Review, 7(3), 62-78.10.1515/mper-2016-0026Search in Google Scholar

Kuchta, D., and Skowron, D. (2016). Classification of R&D projects and selection of R&D project management concept. R&D Management, 46(5), 831-841.10.1111/radm.12112Search in Google Scholar

Langer, N., Slaughter, S. A., and Mukhopadhyay, T. (2008). Project managers’ skills and project success in IT outsourcing. In Proceedings of 29th International Conference on Information Systems (ICIS), Paris, France, December 14-17, 147.Search in Google Scholar

López-Martín, C., and Abran, A. (2015). Neural networks for predicting the duration of new software projects. Journal of Systems and Software, 101(3), 127-135.10.1016/j.jss.2014.12.002Search in Google Scholar

Macharis, C., and Bernardini, A. (2015). Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach. Transport policy, 37, 177-186.10.1016/j.tranpol.2014.11.002Search in Google Scholar

Mahdi, I. M., Riley, M. J., Fereig, S. M., and Alex, A. P. (2002). A multi-criteria approach to contractor selection. Engineering Construction and Architectural Management, 9(1), 29-37.Search in Google Scholar

Meidan, A., García-García, J. A., Escalona, M. J., and Ramos, I. (2017). A Survey on Business Process Management Suites, Computer Standards & Interfaces, 51(3), 71-86.10.1016/j.csi.2016.06.003Search in Google Scholar

Mejri, A., Ayachi Ghanouchi, S., and Martinho, R. (2015), Enhancing business process flexibility in an emergency care process, Procedia Computer Science, 64, 1043-1050.10.1016/j.procs.2015.08.514Search in Google Scholar

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., and PRISMA Group. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336-341.10.1016/j.ijsu.2010.02.00720171303Search in Google Scholar

Müller, R., and Turner, R. (2010). Leadership competency profiles of successful project managers. International Journal of Project Management, 28(5), 437-448.10.1016/j.ijproman.2009.09.003Search in Google Scholar

Olson, D. L. and Staleya, J. (2012), Case study of open-source enterprise resource planning implementation in a small business. Enterprise Information Systems, 6(1), 79-94.10.1080/17517575.2011.566697Search in Google Scholar

Papke-Shields, K. E., Beise, C., and Quan, J. (2010). Do project managers practice what they preach, and does it matter to project success?. International Journal of Project Management, 28(7), 650-662.10.1016/j.ijproman.2009.11.002Search in Google Scholar

Park, H., and Baek, S. (2008). An empirical validation of a neural network model for software effort estimation. Expert Systems with Applications, 35(3), 929-937.10.1016/j.eswa.2007.08.001Search in Google Scholar

Pinto, J. K., and Slevin, D. P. (1987). Critical factors in successful project implementation. IEEE transactions on Engineering Management, EM-34(1), 22-27.10.1109/TEM.1987.6498856Search in Google Scholar

Poelmans, S., Reijers, H. A., and Recker, J. (2013), Investigating the success of operational business process management systems, Information Technology and Management, 14(4), 295-314.10.1007/s10799-013-0167-8Search in Google Scholar

Purna Sudhakra, G. (2012). A model of critical success factors for software projects, Journal of Enterprise Information Management, 25(6), 537-558.10.1108/17410391211272829Search in Google Scholar

Reel, J. S. (1999). Critical success factors in software projects, IEEE Software, 16(3), 18-23.10.1109/52.765782Search in Google Scholar

Rekik, R., Kallel, I., Casillas, J., and Alimi, A. M. (2018). Assessing web sites quality: A systematic literature review by text and association rules mining. International Journal of Information Management, 38(1), 201-216.10.1016/j.ijinfomgt.2017.06.007Search in Google Scholar

Rekik, R., Kallel, I., Casillas, J., and Alimi, A. M. (2016). Using Multiple Criteria Decision Making Approaches to Assess the Quality of Web Sites. International Journal of Computer Science and Information Security, 14 (7), 747-761.Search in Google Scholar

The Standish Group (202). The Chaos Report 2020. Dostupno na: https://www.standishgroup.com/news/45 (28 August 2021)Search in Google Scholar

Todorović, M. L., Petrović, D. Č., Mihić, M. M., Obradović, V. L., and Bushuyev, S. D. (2015). Project success analysis framework: A knowledge-based approach in project management. International Journal of Project Management, 33(4), 772-783.10.1016/j.ijproman.2014.10.009Search in Google Scholar

Trendowicz, A., and Jeffery, R. (2014). Software project effort estimation: Foundations and best practice guidelines for success. Cham: Springer.10.1007/978-3-319-03629-8Search in Google Scholar

Trkman, P. (2010). The Critical Success Factors of Business Process Management, International Journal of Information Management, 30(2), 125-134.10.1016/j.ijinfomgt.2009.07.003Search in Google Scholar

Turner, J. R., and Müller, R. (2005). The project manager’s leadership style as a success factor on projects: A literature review. Project Management Institute.10.1177/875697280503600206Search in Google Scholar

Turner, J. R., and Cochrane, R. A. (1993). Goals-and-methods matrix: coping with projects with ill defined goals and/or methods of achieving them. International Journal of Project Management, 11(2), 93–10210.1016/0263-7863(93)90017-HSearch in Google Scholar

Wei, C. C., Chien, C. F., and Wang, M. J. J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47-62.10.1016/j.ijpe.2004.03.004Search in Google Scholar

Zavadskas, E. K., Vainiūnas, P., Turskis, Z., and Tamošaitienė, J. (2012). Multiple criteria decision support system for assessment of projects managers in construction. International Journal of Information Technology & Decision Making, 11(02), 501-520.10.1142/S0219622012400135Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo