A Decision Support System for Stakeholder Management during Different Project Phases considering Stakeholders’ Personality Types and Available Resources (The Case of Behsama Web-Based Information System)

Document Type : Research Paper

Authors

1 Associate Prof., School of industrial engineering, College of Engineering, University of Tehran

2 Assistant Prof., Department of industrial engineering, Faculty of Engineering, Yazd University, Yazd, Iran

3 MSc in project management, School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract

A common mistake in the management of information technology projects is paying attention only to the technical issues and neglecting other areas of the project management. A critical area in information technology projects is the stakeholder management, which has been the focal point of many recent researches in the project management field. Thus, a decision support system (DSS) has been developed in this paper, consisting of a 10-stage operational process that leads to an executive plan for responding to the stakeholders’ expectations. The proposed DSS benefits from an optimization model that considers not only cost and time constraints, but also the possibility of partly fulfilling the stakeholders’ needs and expectations. The most important innovations in the development of this DSS are: considering the different phases of the project (planning, implementation and closing); and also, considering the personality types of contact persons in each stakeholder group. The proposed system has been implanted in a national IT project and the results have been presented in three categories, i.e. criteria and stakeholders, cost and time, and the results of the proposed model.

Keywords

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References

جامی‎پور، م. و شرکت، م.ح. (1394). چالش پیاده‌سازی موفق سیستم‌های مدیریت دانش: بررسی عوامل مؤثر بر پذیرش مدیریت دانش در سازمان‌های ایرانی با رویکردی آمیخته. مدیریت فناوری اطلاعات، 7 (2)، 450- 429.
حقیقت منفرد، ج.، خلج، م.، محمد علیان، آ. و کاباران‎زاده قدیم، م.ر. (1394). شناسایی و اولویت‎بندی عوامل مؤثر در فرایند پیاده‎سازی سیستم برنامه‎ریزی منابع سازمان با رویکرد گسترش عملکرد کیفیت در گروه صنعتی بهمن دیزل. مدیریت فناوری اطلاعات، 7 (4)، 714- 697.
خواستار، ح. و عبداللهی، ک. (1395). مطالعه‌ای کیفی از عوامل حیاتی موفقیت پروژه‌های برنامه‌نویسی تلفن همراه. مدیریت فناوری اطلاعات، 8 (2)، 294- 273.
خوانساری زاده، س.ا. و شیرمحمدی، م. (1394). بررسی و اولویت‌بندی مخاطرات برون‌سپاری پروژه‌های فناوری اطلاعات و ارتباطات (ICT) (مطالعة موردی: پروژه‎های زیرساخت فناوری اطلاعات و ارتباطات). مدیریت فناوری اطلاعات، 7 (1)، 84-69.
رحیمی، ز. و عبدالوند، ن. (1395). شناسایی و رتبه‎بندی عوامل مؤثر بر موفقیت پیاده‎سازی تجارت اجتماعی در ایران با استفاده از AHP فازی. مدیریت فناوری اطلاعات، 8 (2)، 314- 295.
موسی‎خانی، م.، محمدی، ش. و مدیری آثاری، م. (1290). تعیین عوامل کلیدی موفقیت در مدیریت ریسک پروژه‎های فناوری اطلاعات در سازمان‎های مجازی. مدیریت فناوری اطلاعات، 3 (6)، 144-127.
Atkinson, R. (1999). Project management: Cost, time and quality. Two best guesses and a phenomenon. It’s time to accept other success criteria. International Journal of Project Management, 17(6), 337–342.
Belassi, W. & Tukel, O.I. (1996). A new framework for determining critical success/failure factors in projects. International Journal of Project Management, 14(3), 141–152.
Bhutani, K., Kumar, M., Garg, G. & Aggarwal, S. (2016). Assessing IT Projects Success with Extended Fuzzy Cognitive Maps & Neutrosophic Cognitive Maps in comparison to Fuzzy Cognitive Maps. Neutrosophic Sets and Systems, 12, 9–19.
Fayaz, A., Kamal, Y., Amin, S.U. & Khan, S. (2017). Critical success factors in information technology projects. Management Science Letters, 7, 73–80.
Freeman, M. & Beale, P. (1992). Measuring project success. Project Management Journal, 23(1), 8–18.
Haghighat Monfared, J., Khalaj, M., Mohammad Alian, A. & Kabaranzadeh Ghadim, M.R. (2016). Effective Factors in the Implementation of the E.R.P using the Q.F.D approach. Journal of Information Technology Management, 7(4), 697-714. (in Persian)
Henriques, A. & Richardson, J. (2013). The triple bottom line: Does it all add up? Routledge, London.
Jamipour, M. & Sherkat, M.H. (2015). Challenge of successful KMSs implementation: exploration of effective factors on KM acceptance via mixed method. Journal of Information Technology Management, 7(2), 429-450.
(in Persian)
Jugdev, K. & Müller, R. (2005). A retrospective look at our evolving understanding of project success. Project Management Journal, 36(4), 19–31.
Keirsey, D. (1998). Please understand me II: temperament, character, intelligence. Prometheus Nemesis Book Company, CA, USA.
Kerzner, H. (1987). In search of excellence in project management. Journal of Systems Management, 38(2), 30–40.
Khansarizadeh, S.E. & Shirmohammadi, M. (2015). Investigation and Prioritizing Outsourcing of Information and Communication Technology (ICT) Projects (Case Study: ICT Infrastructure Projects). Journal of Information Technology Management, 7(1), 69-84. (in Persian)
Khastar, H. & Abdollahi, K. (2016). Critical Success Factors of Mobile Application Development Projects: A Qualitative Study. Journal of Information Technology Management, 8(2), 273–294. (in Persian)
Lester, D.H. (1998). Critical success factors for new product development. Research Technology Management, 41(1), 36-43.
Moosakhani, M., Mohammadi, S. & Modiriasari, M. (2011). Critical Success Factor in IT Project Risk Management in Virtual Enterprise: Multi Case Study. Journal of Information Technology Management, 3(6), 167–176. (in Persian)
Morris, P.W.G. & Hough, G.H. (1987). The Anatomy of Major Projects: A Study of the Reality of Project Management. John Wiley & Sons Ltd., Chichester.
Munns, A.K. & Bjeirmi, B.F. (1996). The role of project management in achieving project success. International Journal of Project Management, 14(2), 81–88.
Neves, F.G., Borgman, H. & Heier, H. (2017). Success Lies in the Eye of the Beholder: A Quantitative Analysis of the Mismatch Between Perceived and Real IT Project Management Performance. In Proceedings. 50th Hawaii International Conference on System Sciences. Big Island, Hawaii.
Pinto, J.K. & Slevin, D.P. (1988). Project success: definitions and measurement techniques. Project Management Journal, 19(1), 67–73.
Project Management Institute. (2013). A Guide to the Project Management Body of Knowledge (PMBOK), USA.
Rahimi, Z. & Abdolvand, N. (2016). Identifying and Ranking the Effective Factors on Successful Implementation of Social Commerce in Iran, Using AHP Fuzzy. Journal of Information Technology Management, 8(2), 295-314.
(in Persian)
Shakhsi-Niaei, M., Shiripour, M., Shakouri G.H. & Iranmanesh, S.H. (2015). Application of genetic and differential evolution algorithms on selecting portfolios of projects with consideration of interactions and budgetary segmentation. International Journal of Operational Research, 22(1), 106–128.
Turner, J. R. (Ed.). (1995). The commercial project manager. McGraw-Hill, UK.
Turner, J. R. (Ed.) (2003). Contracting for project management. Gower, UK.
Turner, J.R. (2004). Five conditions for project success. International Journal of Project Management, 22(5), 349–350.
Turner, J.R., Zolin, R. & Remington, K. (2009). Modelling success on complex projects: multiple perspectives over multiple time frames. In Proceedings. 9th Conference of The International Research Network of Organizing by Projects, Technical University of Berlin, Berlin.
Turner, J.R. & Zolin, R. (2012). Forecasting success on large projects: developing reliable scales to predict multiple perspectives by multiple stakeholders over multiple time frames. Project Management Journal, 43(5), 87–99.
Wateridge, J. (1998). How can IS/IT projects be measured for success?. International Journal of Project Management, 16(1), 59–63.
Xue, Y. (2009). A results-based monitoring and evaluation system for key infrastructure projects (Unpublished doctoral thesis). Lille School of Management, Lille, France.
Journal of Information Technology Management
Volume 9, Issue 4
December 2017
Pages 679-700

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