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A predictive model for successful software development projects with information technology strategic alignment

Published: 26 February 2017 Publication History

Abstract

This study shows the average success rate in software development projects is about 28.8%, which means 2 out of 3 software development projects failed and/or were challenged. Failures in software development always result in financial loss to the business and industry. To overcome this underlying phenomenon, it essentially requires effective techniques to improve decision making in an investment and to contribute to a higher success rate of software development projects. This paper presents a predictive model for successful software development project by involving an IT strategic alignment consideration to evaluate the success factors in software development and establishing linkages among IT strategic alignment, IT goals and software development projects. The content analysis is performed on case study in accordance with research questions. It leads to real-world applicability of the proposed model by expert judgements and qualitative interpretation. The research can vastly reduce financial loss by supporting executive's predictive capability of the investment and expected returns from the software development project.

References

[1]
Kutcher, E. 2015. The reality of growth in the software industry. (April 2015). Retrieved December 7, 2016 from http://www.mckinsey.com/industries/high-tech/our-insights/the-reality-of-growth-in-the-software-industry.
[2]
Sethi, A. and Gott, J. 2016. A.T. Kearney Global Services Location Index™ Top 20. Retrieved March 12, 2016 from www.atkearney.com/strategic-it/global-services-location-index.
[3]
Hastie, S. and Wojewoda, S. (2015, October 04). Standish group 2015 chaos report - Q&A with Jennifer Lynch. Retrieved December 18, 2016, from https://www.infoq.com/articles/standish-chaos-2015
[4]
Chan, A.P. and Chan, A.P. (2004). Key performance indicators for measuring construction success. Benchmarking: an international journal, 11(2), 203--221.
[5]
Bryde, D.J. (2003). Modelling project management performance. International Journal of Quality & Reliability Management, 20(2), 229--254.
[6]
roi. (n.d.). The American Heritage® Abbreviations Dictionary, Third Edition. Retrieved March 12, 2016 from http://www.Dictionary.com
[7]
Berman, C. The Importance of ROI Metrics. Retrieved March 12, 2016 from http://smallbusiness.chron.com/importance-roi-metrics-67482.html
[8]
Phillips, J.J. and Phillips, P.P. Show Me the Money: How to Determine Roi in People, Projects, and Programs. Berrett-Koehler Publisher, San Francisco, 2007.
[9]
Botchkarev, A., Andru, P. and Chiong, R. (2011). A Return on Investment as a metric for evaluating information systems: taxonomy and application. Interdisciplinary Journal of Information, Knowledge and Management, 6, 245--69.
[10]
Silva, E., Plazaola, L. and Ekstedt, M. (2006, July). Strategic business and IT alignment: A prioritized theory diagram. In Technology Management for the Global Future, 2006. PICMET 2006 (Vol. 1, pp. 1--8). IEEE.
[11]
Luftman, J. and Kempaiah, R. (2007). An Update on Business-IT Alignment:" A Line" Has Been Drawn. MIS Quarterly Executive, 6(3).
[12]
Henderson, J.C. and Venkatraman, H. (1993). Strategic alignment: Leveraging information technology for transforming organizations. IBM systems journal, 32(1), 472--484.
[13]
Hinkelmann, K. and Pasquini, A. (2014, August). Supporting Business and IT Alignment by Modeling Business and IT Strategy and Its Relations to Enterprise Architecture. In Enterprise Systems Conference (ES), 2014 (pp. 149--154). IEEE.
[14]
Anwar, N. and Masrek, M.N. (2014, November). IT infrastructure flexibility as determinant of strategic utilization of information systems: A conceptual framework. In Information Society (i-Society), 2014 International Conference on (pp. 17--18). IEEE.
[15]
Jadda, S. and Idrissi, M.A.J. (2015, October). Strategic Alignment and Information System project portfolio optimization model. In Intelligent Systems: Theories and Applications (SITA), 2015 10th International Conference on (pp. 1--8). IEEE.
[16]
Basili, V., Heidrich, J., Lindvall, M., Münch, J., Regardie, M., Rombach, D., Carolyn, S. and Trendowicz, A. (2014). GQM+ Strategies: A comprehensive methodology for aligning business strategies with software measurement. arXiv preprint arXiv: 1402.0292.
[17]
Moen, R. and Norman, C. (2006). Evolution of the PDCA cycle.
[18]
Kasunic, M. (2010). Measurement and Analysis Infrastructure Diagnostic, Version 1.0: Method Definition Document (CMU/SEI-2010-TR-035). Retrieved March 28, 2016, the Software Engineering Institute, Carnegie Mellon University. from http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=9669.
[19]
Alteminu, M.A.H., Zakariaf, M.S. and Mahmood, A.K. (2012, June). Assessing the performance of information technology strategic planning for organization using performance measurement framework. In Computer & Information Science (ICCIS), 2012 International Conference on (Vol. 1, pp. 164--169). IEEE.
[20]
List of Thai software companies accredited by CMMI. Retrieved August 20, 2016, from http://www.swpark.or.th/cmmiproject/index.php/list-of-thai-software-companies-accredited-by-cmmi

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  • (2022)Reinforcing digital eco-system for Industry 2.0: implementer’s perspectivesCSI Transactions on ICT10.1007/s40012-022-00361-y10:2(175-190)Online publication date: 4-Jun-2022

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    ICSCA '17: Proceedings of the 6th International Conference on Software and Computer Applications
    February 2017
    339 pages
    ISBN:9781450348577
    DOI:10.1145/3056662
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 February 2017

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    1. predictive model
    2. software development project
    3. strategic alignment
    4. successful project

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    • (2022)Reinforcing digital eco-system for Industry 2.0: implementer’s perspectivesCSI Transactions on ICT10.1007/s40012-022-00361-y10:2(175-190)Online publication date: 4-Jun-2022

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