{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:54:26Z","timestamp":1781110466331,"version":"3.54.1"},"reference-count":16,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,7,1]]},"abstract":"<p>Optimal selection of interdependent IT and e-business projects for funding in multi-period has been challenging in the framework of Real Option analysis. This paper presents a mathematical model to optimize the fuzzy Option value for multi-stage portfolio of such projects. A fuzzy Option model is used to maximize the Option value of each project. The IT and e-service portfolio selection problem is formulated as a fuzzy zero\u2013one integer programming model that can handle both uncertain and flexible parameters to determine the optimal project portfolio. The idea of optimizing the fuzzy real option value of the portfolio is to maximize the overall value and to minimize the downside risk of the selected portfolio for funding. A transformation method based on qualitative possibility theory is developed to convert the fuzzy portfolio selection model into a crisp mathematical model from the risk-averse perspective. The transformed model can be solved by an optimization technique. The optimization model and solution approach can help e-entrepreneurs and IT managers in optimal funding decision making for projects prioritization to implement e-business and other IT services.<\/p>","DOI":"10.4018\/jeei.2012070104","type":"journal-article","created":{"date-parts":[[2012,8,29]],"date-time":"2012-08-29T16:49:29Z","timestamp":1346258969000},"page":"37-49","source":"Crossref","is-referenced-by-count":0,"title":["IT Project Selection using Fuzzy Real Option Optimization Model"],"prefix":"10.4018","volume":"3","author":[{"given":"Shashank","family":"Pushkar","sequence":"first","affiliation":[{"name":"Birla Institute of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prity","family":"Kumari","sequence":"additional","affiliation":[{"name":"BBA Bihar University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akhileshwar","family":"Mishra","sequence":"additional","affiliation":[{"name":"National Institute of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jeei.2012070104-0","doi-asserted-by":"crossref","unstructured":"Bardhan, I. R., Kauffman, R. J., & Sanjeewa, N. (2006). Optimizing an IT Project Portfolio with Time-Wise Interdependencies. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences (Vol. 8, pp. 168b).","DOI":"10.1109\/HICSS.2006.373"},{"key":"jeei.2012070104-1","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(02)00591-2"},{"key":"jeei.2012070104-2","author":"D.Dubois","year":"1988","journal-title":"Possibility theory: An approach to computerized processing of uncertainty"},{"key":"jeei.2012070104-3","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-111X(199901)14:1<45::AID-INT4>3.0.CO;2-R"},{"key":"jeei.2012070104-4","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9310.00315"},{"key":"jeei.2012070104-5","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(98)00449-7"},{"key":"jeei.2012070104-6","author":"G. 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