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)

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.

[1]  G. Shakouri,et al.  Application of genetic and differential evolution algorithms on selecting portfolios of projects with consideration of interactions and budgetary segmentation , 2015 .

[2]  John Wateridge,et al.  How can IS/IT projects be measured for success? , 1998 .

[3]  Rodney Turner,et al.  Forecasting Success on Large Projects: Developing Reliable Scales to Predict Multiple Perspectives by Multiple Stakeholders over Multiple Time Frames , 2012 .

[4]  Harold Kerzner,et al.  In search of excellence in project management , 1998 .

[5]  Kanika Bhutani,et al.  Assessing it Projects Success with Extended Fuzzy Cognitive Maps & Neutrosophic Cognitive Maps in Comparison to Fuzzy Cognitive Maps , 2016 .

[6]  Walid Belassi,et al.  A new framework for determining critical success/failure factors in projects , 1996 .

[7]  Ayesha Fayaz,et al.  Critical success factors in information technology projects , 2017 .

[8]  Dragan Bjelica,et al.  Measuring Project Success in Project-Oriented , 2013 .

[9]  Roger Atkinson,et al.  Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria , 1999 .

[10]  A. K. Munns,et al.  The role of project management in achieving project success , 1996 .

[11]  Hans P. Borgman,et al.  Success Lies in the Eye of the Beholder: A Quantitative Analysis of the Mismatch Between Perceived and Real IT Project Management Performance , 2017, HICSS.

[12]  مونا جامی پور,et al.  Challenge of successful KMSs implementation: exploration of effective factors on KM acceptance via mixed method , 2015 .

[13]  Ekrem Cengiz,et al.  Critical Success Factors in New Product Development , 2019, Managing Your Startup's New Product Development Projects.

[14]  Kam Jugdev,et al.  A Retrospective look at our Evolving Understanding of Project Success , 2005, IEEE Engineering Management Review.