Journal articles: 'Information Systems Project Selection'

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Jiang, James J., and Gary Klein. "Project selection criteria by strategic orientation." Information & Management 36, no. 2 (August 1999): 63–75. http://dx.doi.org/10.1016/s0378-7206(99)00009-9.

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Zou, Anquan, Sophia Duan, and Hepu Deng. "Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective." Sustainability 11, no. 2 (January 11, 2019): 347. http://dx.doi.org/10.3390/su11020347.

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This paper develops a multicriteria analysis method for effectively making the selection decision on information systems (IS) projects for project management in organizations from a sustainability perspective. The triple bottom line principle of sustainability in organizations is carefully considered in formulating the IS project selection process as a multicriteria analysis problem. The subjectiveness of the decision-making process is modelled by linguistic variables approximated by fuzzy numbers. The positive and the negative ideal solution concepts are used to calculate the overall sustainability performance of individual IS projects in a comprehensive manner. A decision support system framework is then constructed with the use of the developed method for facilitating the IS project selection process. Such a system can provide organizations with an effective mechanism for comprehensively evaluating available IS projects from a sustainability perspective. An example is presented for demonstrating the flexibility and effectiveness of the proposed method in solving the IS project selection problem.

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Ghaeli, M. Reza, John Vavrik, and Glenyth Nasvadi. "Multicriteria Project Portfolio Selection: Case Study for Intelligent Transportation Systems." Transportation Research Record: Journal of the Transportation Research Board 1848, no. 1 (January 2003): 125–31. http://dx.doi.org/10.3141/1848-18.

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Transportation strategies encompass a portfolio of projects in which choices must be made between competing alternatives. An appropriate portfolio of projects is essential for the success and growth of transportation agencies. The introduction and implementation of emerging technologies such as intelligent transportation systems (ITS) increase the need for more effective decision-making approaches and project selection in the coming years. Transportation projects, particularly, have a broad impact on the public and are multicriteria in nature. The projects also involve several elements of risk, such as project success, public acceptance, or public image. Traditional methods of project evaluation such as benefit–cost analysis focus mainly on the financial rewards of projects and do not sufficiently consider multicriteria and risk evaluations in an integrated framework. Development of an objective and systematic methodology that could address the multicriteria nature of the projects and also deal with their risks and rewards is necessary for both private and public agencies. This need is important particularly when new technologies are implemented, information on project impacts is insufficient, and resources are constrained. An integrated project portfolio selection model is introduced based on the well-established methodologies used for multicriteria evaluation and proven concepts used for portfolio selection in the finance discipline. The new methodology significantly facilitates decision making by integrating both the risk and the value of projects. A case study for selecting ITS projects in a public agency is demonstrated. Guidance is provided in nontechnical language for interpreting the outputs of the methodology.

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Huizingh, Eelko K. R. E., and Hans C. J. Vrolijk. "Evaluation of Eight Project Selection Methods: the Case of Information Systems." Estudios de Administración 4, no. 2 (March 5, 2020): 1. http://dx.doi.org/10.5354/0719-0816.1997.56717.

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Determining the priorities of projects is an essential step in the planning process. Usually, the limited availability of resources prohibits the simultaneous execution of all proposed projects, A number of project selection methods have been developed to ensure a deliberate process of determining priorities. In this paper we describe and discuss eight of these methods: cost benefit analysis, risk analysis, ranking, scoring, zero one programming, knowledge-based systems, steering committees, and the analytic hierarchy process. We evaluate these methods based on a set of eight criteria. We conclude that none of the methods meets all requirements. An important shortcoming of most methods is the inability to support group decision-making despite the increasing importance of this criterion. As a consequence, the appropriateness of the methods depends on the characteristics of the decision situation. Our analysis provides guidelines for choosing a method in a specific situation.

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Su, Limin, Tianze Wang, Lunyan Wang, Huimin Li, and Yongchao Cao. "Project Procurement Method Selection Using a Multi-Criteria Decision-Making Method with Interval Neutrosophic Sets." Information 10, no. 6 (June 5, 2019): 201. http://dx.doi.org/10.3390/info10060201.

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Project procurement method (PPM) selection influences the efficiency of project implementation. Owners are presented with different options for project delivery. However, selecting the appropriate PPM poses great challenges to owners, given the existence of ambiguous information. The interval neutrosophic set (INS) shows power to handle imprecise and ambiguous information. This paper aims to develop a PPM selection model under an interval neutrosophic environment for owners. The main contributions of this paper are as follows: (1) The similarity measure is innovatively introduced with interval neutrosophic information to handle the PPM selection problem. (2) The similarity measure based on minimum and maximum operators is applied to construct a decision-making model for PPM selection, through considering the truth, falsity, and indeterminacy memberships simultaneously. (3) This study establishes a PPM selection method with INS by applying similarity measures, that takes account into the determinacy, indeterminacy, and hesitation from the decision experts when giving an evaluation value. A case study on selecting PPM is made to show the applicability of the proposed approach. Finally, the results of the proposed method are compared with those of existing methods, which exhibit the superiority of the proposed PPM selection method.

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Cao, Yongchao, Huimin Li, and Limin Su. "Decision-Making for Project Delivery System with Related-Indicators Based on Pythagorean Fuzzy Weighted Muirhead Mean Operator." Information 11, no. 9 (September 17, 2020): 451. http://dx.doi.org/10.3390/info11090451.

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An appropriate project delivery system plays an essential role in sustainable construction project management. Due to the complexity of practical problems and the ambiguity of human thinking, selecting an appropriate project delivery system (PDS) is an enormous challenge for owners. This paper aims to develop a PDS selection method to deal with the related-indicators case by combining the advantages of Pythagorean fuzzy sets (PFSs) and Pythagorean fuzzy weighted Muirhead mean (PFWMM) operators. The contributions of this paper are as follows: (1) This study innovatively introduced the PFWMM operator to deal with PDS selection problems for the case of the relevance among all indicators affecting PDSs selection in a complex environment. (2) A new method of solving indicators’ weights was proposed to adapt to the related-indicators PDS selection problem, through investigating the differences between the ideal PDS and the alternative PDS under all indicators. (3) A decision-making framework for PDS selection was constructed by comprehensive use of the advantages of PFSs and the PFWMM operator in dealing with related-indicators PDS decision-making problems. An example of selecting a PDS is exhibited to illustrate the effectiveness and applicability of the proposed method.

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Auchey, Flynn L., and Gloria J. Auchey. "Project Selection using the PRISMTM Model." Journal of Decision Systems 11, no. 3-4 (January 2002): 333–53. http://dx.doi.org/10.3166/jds.11.333-353.

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Ghasemzadeh, F., and N. P. Archer. "Project portfolio selection through decision support." Decision Support Systems 29, no. 1 (July 2000): 73–88. http://dx.doi.org/10.1016/s0167-9236(00)00065-8.

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Bolat, Bersam, Ferhan Çebi, Gül Tekin Temur, and İrem Otay. "A fuzzy integrated approach for project selection." Journal of Enterprise Information Management 27, no. 3 (April 8, 2014): 247–60. http://dx.doi.org/10.1108/jeim-12-2013-0091.

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NAZARI-SHIRKOUHI, S., A. ANSARINEJAD, SS MIRI-NARGESI, V. MAJAZI DALFARD, and K. REZAIE. "INFORMATION SYSTEMS OUTSOURCING DECISIONS UNDER FUZZY GROUP DECISION MAKING APPROACH." International Journal of Information Technology & Decision Making 10, no. 06 (November 2011): 989–1022. http://dx.doi.org/10.1142/s0219622011004683.

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During the last decade, information system (IS) outsourcing has emerged as a major issue for organizations. As outsourcing decisions are often based on multicriteria approaches and group decisions, this paper proposes a structured methodology based on Fuzzy group decision making approach to evaluate and select the appropriate information system project (ISP) in an actual case. To achieve our purpose, we argue that seven criteria consisting of risk, management, economics, technology, resource, quality, and strategy and five ISPs should be considered for outsourcing decisions. Fuzzy analytic hierarchy process (fuzzy AHP) to find the priority and ranking of each ISP is considered. Using fuzzy theory for selecting the proper IS project can reduce ambiguities and uncertainties that are inherent in the selection procedure. A sensitivity analysis is performed to check the steadiness of the priority ranking and help decision makers to understand different scenarios that show alternative potential developments or different viewpoints concerning the relative importance of the criteria. Our proposed methodology can be applied by a cross-functional team of practitioners and IT managers to select the proper IS project. Also, the proposed approach can effectively consider complex and qualitative decision variables involved in the IS outsourcing decision-making problem. Finally, conclusion and potential issues for future research are presented. The main findings of this research have showed that the combination of AHP method and fuzzy concept to rank and prioritize of IS projects to outsource is a useful and practical tool to make traceable and reliable decision. According to results, a priority of overall score for the five candidates of IS projects reflects that project of "development of the supplier relationship management information system" performs the best, and project of "facilities management" performs the worst according to the experts' judgment in case study.

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Moselhi, Osama, and Bikash Deb. "Project Selection Considering Risk." Construction Management and Economics 11, no. 1 (January 1993): 45–52. http://dx.doi.org/10.1080/01446199300000063.

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Ceric, Anita. "STRATEGIES FOR MINIMIZING INFORMATION ASYMMETRIES IN CONSTRUCTION PROJECTS: PROJECT MANAGERS’ PERCEPTIONS." Journal of Business Economics and Management 15, no. 3 (July 8, 2014): 424–40. http://dx.doi.org/10.3846/16111699.2012.720601.

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Communication risk is of crucial importance in construction projects. The situation in which one of the project parties is better informed than another is known as information asymmetry. This problem is addressed by the principal-agent theory. According to this theory, information asymmetries cause three problems: adverse selection, moral hazard, and hold up. The focus here is on strategies for minimizing information asymmetries in the construction phase. A survey of project managers was conducted to establish an understanding of the relative importance of risk-minimization strategies established in the literature: bureaucratic control (contracts), information systems, incentives (bonuses), corporate culture, reputation, and trust. The multi-attribute utility theory was used to analyze the responses. According to the project managers who participated in the survey, trust is the most important strategy in the construction phase, followed by bureaucratic control (contracts) and information systems.

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Li, Huimin, Keli Qin, and Peng Li. "Selection of project delivery approach with unascertained model." Kybernetes 44, no. 2 (February 2, 2015): 238–52. http://dx.doi.org/10.1108/k-01-2014-0012.

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Purpose – The construction project is implemented under uncertainty environment, and the product of construction is very complex. Selecting a project delivery system/approach is a critical task, which determines the project schedule, quality and investment objectives. The purpose of this paper is to propose a decision-making model for the selection of project delivery system which is based on information entropy and unascertained measure model. Design/methodology/approach – A decision-making model based on information entropy and unascertained set is employed to select project delivery approach. In order to overcome the subjective evaluations from the experts, the theory of “entropy weight” is applied to modify the experts’ subjective weight. The multi-attribute unascertained measure decision making is fitted to deal with the uncertainty information for selection of project delivery system. Findings – The proposed methodology is more comprehensive compared with the previous work, especially in the uncertainty environment. Research limitations/implications – There is some further work that should be considered, such as how to deal with the imprecise and subjective information given by the experts; how to determine the weight of the experts’; finding a set of importance factors influencing the selection of a delivery system is a complex task to further research. Practical implications – The proposed method can help the construction owner to select a most fitted project delivery system of a construction project. Originality/value – A new approach to select project delivery approach is proposed based on information entropy and unascertained set.

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MACDONELL, STEPHEN G., TIM FLETCHER, and B. L. WILLIAM WONG. "INDUSTRY PRACTICES IN PROJECT MANAGEMENT FOR MULTIMEDIA INFORMATION SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 09, no. 06 (December 1999): 801–15. http://dx.doi.org/10.1142/s0218194099000413.

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This paper describes ongoing research directed at formulating a set of appropriate measures for assessing and ultimately predicting effort requirements for multimedia systems development. Whilst significant advances have been made in the determination of measures for both transaction-based and process-intensive systems, very little work has been undertaken in relation to measures for multimedia systems. A small preliminary empirical study is reviewed as a precursor to a more exploratory investigation of the factors that are considered by industry to be influential in determining development effort. This work incorporates the development and use of a goal-based framework to assist the measure selection process from a literature basis, followed by an industry questionnaire. The results provide a number of preliminary but nevertheless useful insights into contemporary project management practices with respect to multimedia systems.

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Kulak, Osman, Cengiz Kahraman, Başar Öztayşi, and Mehmet Tanyaş. "Multi‐attribute information technology project selection using fuzzy axiomatic design." Journal of Enterprise Information Management 18, no. 3 (June 2005): 275–88. http://dx.doi.org/10.1108/17410390510591978.

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Wen, Yao, Qingxian An, Xuanhua Xu, and Ya Chen. "Selection of Six Sigma project with interval data: common weight DEA model." Kybernetes 47, no. 7 (August 6, 2018): 1307–24. http://dx.doi.org/10.1108/k-07-2017-0250.

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PurposeThis paper aims to prioritize the most efficient Six Sigma project that can generate the greatest benefit to the organization, according to the relative performance among a set of homogenous projects (in here, DMUs). The selection of a Six Sigma project is a multiple-criteria decision-making problem, which is difficult in practice because the projects are not yet complete and the values of evaluation indicators are often interval or imprecise data. Managers stress the need for developing an effective performance evaluation methodology for selecting a Six Sigma project.Design/methodology/approachThis study proposes a modified model considering interval or imprecise data based on common weight data envelopment analysis (DEA) approach to solve problems on project selection.FindingsBy comparing its findings with an example from a previous study, the new model obtained realistic and fair evaluation results and significantly reduced the difficulties and the time spent during calculation. Moreover, not only the best project is identified, but also the exact indicator information is obtained.Originality/valueThis study solves the problem of selecting the most efficient Six Sigma project in the preference of interval or imprecise data. Many studies have shown how a Six Sigma project is chosen, but only a few have integrated interval data into the selection process.

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Mehrez, Abraham, and Awanti P. Sethi. "Hierarchical Planning of Project-Selection Problems with Information Purchasing." Journal of the Operational Research Society 40, no. 3 (March 1989): 267. http://dx.doi.org/10.2307/2583340.

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Mehrez, Abraham, and Awanti P. Sethi. "Hierarchical Planning of Project-Selection Problems with Information Purchasing." Journal of the Operational Research Society 40, no. 3 (March 1989): 267–79. http://dx.doi.org/10.1057/jors.1989.37.

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Nelson, Craig A. "A scoring model for flexible manufacturing systems project selection." European Journal of Operational Research 24, no. 3 (March 1986): 346–59. http://dx.doi.org/10.1016/0377-2217(86)90028-7.

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Udaipurwala, Asad, and Alan D. Russell. "Computer-assisted construction methods knowledge management and selection." Canadian Journal of Civil Engineering 29, no. 3 (June 1, 2002): 499–516. http://dx.doi.org/10.1139/l02-030.

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The construction industry's information environment is undergoing rapid changes. Construction professionals now expect fast and reliable access to rich data sources. Significant advances have been made in streamlining the creation and dissemination of computer-aided design drawings and construction documents through incorporation of information technology in the workflow. However, there is a need to go beyond just the automation of existing paper flows and provide the construction knowledge worker with tools that can be easily used to document previous project experience, track new technological developments, and then incorporate these in the formulation of construction strategies for future projects. This paper describes work aimed at creating such tools in the context of a comprehensive decision-support system, by developing intelligent representation structures for storing and accessing construction domain knowledge and coupling them with advanced planning tools so as to enable the quick formulation and assessment of initial project plans. The information requirements and features needed for such a system are first examined, followed by a demonstration of how some of these requirements have been addressed in the system design and implementation. Aspects of a hypothetical high-rise building project are used throughout to illustrate application of the concepts developed.Key words: construction methods, integrated project management systems, methods feasibility reasoning, hierarchical scheduling, project views.

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Wu, Yenchun Jim, and Jeng-Chung Chen. "A structured method for smart city project selection." International Journal of Information Management 56 (February 2021): 101981. http://dx.doi.org/10.1016/j.ijinfomgt.2019.07.007.

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Schniederjans, Marc J., and Radhika Santhanam. "A multi-objective constrained resource information system project selection method." European Journal of Operational Research 70, no. 2 (October 1993): 244–53. http://dx.doi.org/10.1016/0377-2217(93)90042-l.

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Akhavan, Peyman, S. Mahdi Hosseini, and Morteza Abbasi. "Selecting new product development team members with knowledge sharing approach." Program 50, no. 2 (April 4, 2016): 195–214. http://dx.doi.org/10.1108/prog-04-2015-0033.

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Purpose – The purpose of this paper is to provide a method for selection of the new product development (NPD) project team members, in such a way to maximize the expertise level of team members and at the same time, optimize knowledge sharing in the organization. Design/methodology/approach – According to the motivation-opportunity-ability framework, knowledge sharing antecedents were determined. Then, the problem of selecting appropriate members of the project team was formulated as a bi-objective integer non-linear programming model. Due to the uncertainty conditions in the evaluation of candidates, the fuzzy sets approach was used for modeling. To solve the problem, first, the non-linear programming model was converted to a linear model. Subsequently, the fuzzy bi-objective linear programming problem was solved by using an approximate algorithm. Findings – Results of applying the proposed method to an Iranian ship-building company showed its effectiveness in selecting appropriate members of the project team. Practical implications – With the aid of the proposed approach, project managers will be able to form effective project teams that while increasing the success probability of the project, facilitate the maintenance of knowledge acquired during the project lifecycle. Originality/value – This paper, for the first time, has tried to provide a method for selecting the NPD project team members, in a way that while selecting candidates with highest expertise, maximizes the sharing of knowledge among them.

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Zandi, Faramak, and Madjid Tavana. "A multi-attribute group decision support system for information technology project selection." International Journal of Business Information Systems 6, no. 2 (2010): 179. http://dx.doi.org/10.1504/ijbis.2010.034353.

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McKeen, James D., Tor Guimaraes, and James C. Wetherbe. "A comparative analysis of MIS project selection mechanisms." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 25, no. 1 (February 1994): 43–59. http://dx.doi.org/10.1145/188423.188435.

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McKeen, James D., Tor Guimaraes, and James C. Wetherbe. "A comparative analysis of MIS project selection mechanisms." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 25, no. 3 (August 1994): 19–39. http://dx.doi.org/10.1145/190675.190677.

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Anglin, C., J. Schaafsma, S. Pantazi, N. Grimm, and J. R. Moehr. "Lest Formalisms Impede Insight and Success: Evaluation in Health Informatics." Methods of Information in Medicine 45, no. 01 (2006): 67–72. http://dx.doi.org/10.1055/s-0038-1634039.

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Summary Objectives: To illustrate the advantages of an open-ended formative evaluation approach using a project-specific selection of methods over the controlled trial approach in the evaluation of health information systems. To illustrate factors leading to success and others impeding it in a telehealth project. Methods: The methods and results of an evaluation of the BC Telehealth Program are summarized. Results: The evaluation gave a comprehensive picture of the project, including assessment of the effects of an array of telehealth applications, and their economic impact. Factors leading to success and others preventing it are identified from the level of overall program management to the project specifics. The results include unanticipated effects and explanations for their reasons of occurrence. Neither the comprehensiveness of information nor the timeliness was achieved in a related project using a controlled trial approach. Conclusions: Not all types of health information system projects can be evaluated using the controlled trial approach. This approach may impede important insights. It is also usually much less efficient. Funding agencies and journal editors have to take this into account when selecting projects for funding and submissions for publication.

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Silva, Thushari, Ma Jian, and Yang Chen. "Process Analytics Approach for R&D Project Selection." ACM Transactions on Management Information Systems 5, no. 4 (March 21, 2015): 1–34. http://dx.doi.org/10.1145/2629436.

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Mohammad Sabbaghi, Malek, and Ahmad Allahyari. "A Supplier Selection Model Emphasizing the Project Risk Management in Drug Production in Pharmaceutical Industry." Tehnički glasnik 14, no. 2 (June 11, 2020): 111–20. http://dx.doi.org/10.31803/tg-20191229124723.

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Risk management is considered to be one of the main phases of project management and one of the eight main areas of the “project management body of knowledge”. The complexities involved in the drug production projects on the one hand, and the need for risk assessment and management in such projects on the other hand, make this issue completely clear. According to the risk mitigation strategies in project management and using the academic professors and experts in the field of drug production and pharmaceutical projects, the present study aimed to provide a checklist for selecting supplier in the drug production projects. This was done using the main eight and 30 secondary indicators related to the top supplier selection and four main and nine secondary indicators related to influencing environmental risks. Finally, after reviewing the statistical results obtained from the questionnaires and utilizing the TOPSIS technique, seven main indicators including “quality, flexibility, delivery, technology, information and communication systems, cost and experience” along with 24 secondary indicators were obtained relating to the top supplier selection. Also, the delivery factors group was identified as the most important group based on the Friedman test results.

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Rahman, Md Habibur, and Md Zillur Rahman. "Modernization of central library and establishment of an e-resource center at Chittagong Veterinary and Animal Sciences University (CVASU): a case study." Library Hi Tech News 33, no. 8 (October 3, 2016): 8–10. http://dx.doi.org/10.1108/lhtn-06-2016-0029.

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Purpose The purpose of this paper is to explain how the author carried out the modernization project of the central library and establishment of an e-resource center at Chittagong Veterinary and Animal Sciences University (CVASU), stated the implementation of integrated library system (ILS) in a library and encouraged library professionals by sharing practical experience to implement modernization project in their libraries. Design/methodology/approach The paper describes the authors’ practical experiences regarding implementation of the modernization project of the central library and establishment of an e-resource center at CVASU using open-source ILS and library management systems (LMSs). Findings The study reveals practical and systematic approach toward implementation of the modernization project starting from the project proposals, fund release, vendor selection, mode of procurement, manpower selection, selection of ILS and LMS solution to the library’s day-to-day activities and a series of communication with the funding organization. Practical implications This paper will help librarians implement the modernization project in a practical way to their libraries. This paper stands as a unique case study for the new applicant and for those who have got University Grants Commission funding for library modernization. Originality/value The paper provides a practical experience in the implementation of a library modernization project complying all the procedures of funding agencies. The content of the paper was not published before in any form other than the internal workshop and presentation.

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Santhanam, R., K. Muralidhar, and M. Schniederjans. "A zero-one goal programming approach for information system project selection." Omega 17, no. 6 (January 1989): 583–93. http://dx.doi.org/10.1016/0305-0483(89)90062-5.

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Wang, Wei-Ming, Amy H. I. Lee, Li-Pei Peng, and Zih-Ling Wu. "An integrated decision making model for district revitalization and regeneration project selection." Decision Support Systems 54, no. 2 (January 2013): 1092–103. http://dx.doi.org/10.1016/j.dss.2012.10.035.

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Tian, Qijia, Jian Ma, Jiazhi Liang, Ron C. W. Kwok, and Ou Liu. "An organizational decision support system for effective R&D project selection." Decision Support Systems 39, no. 3 (May 2005): 403–13. http://dx.doi.org/10.1016/j.dss.2003.08.005.

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Kendall, Kenneth E., Sue Kong, and Julie E. Kendall. "The Impact of Agile Methodologies on the Quality of Information Systems." International Journal of Strategic Decision Sciences 1, no. 1 (January 2010): 41–56. http://dx.doi.org/10.4018/jsds.2010103003.

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Systems developers and IT project managers who apply agile methods for developing information systems (IS) subscribe to a set of values and principles. This adherence to a set of values and principles, along with a passion or fervor surrounding the agile philosophy, made us question whether the adoption of agile methodologies has an effect on information systems built, and in particular, the quality of the IS developed. In this paper we construct a conceptual model, conduct a survey of software developers, and analyze our results, which support our hypotheses about the importance of the strategic selection of a development methodology. We conclude that practicing project managers should consider the decision to use certain methodologies as part of the strategic process.

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Hosseini, S. Mahdi, and Peyman Akhavan. "A model for project team formation in complex engineering projects under uncertainty." Kybernetes 46, no. 7 (August 7, 2017): 1131–57. http://dx.doi.org/10.1108/k-06-2015-0150.

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Purpose This paper aims to develop a model for selecting project team members. In this model, while knowledge sharing among individuals is maximized, the project costs and the workload balance among employees are also optimized. Design/methodology/approach The problem of project team formation is formulated as a fuzzy multi-objective 0-1 integer programming model. Afterward, to deal with uncertainty in the decision-making on the candidates’ abilities and the project requirements, the fuzzy multi-objective chance-constrained programming approach is adopted. Finally, by combining the non-dominated sorting genetic algorithm II and the fuzzy simulation algorithms, a method is proposed to solve the problem. Findings The computational results of the proposed model in a case study of project team formation in a large Iranian company from the shipbuilding industry evidently demonstrated its effectiveness in providing Pareto-optimal solutions for the team composition. Originality/value Seemingly for the first time, this paper develops a model to optimize knowledge sharing and improve the project efficiency through the selection of appropriate project team members.

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Vavpotic, Damjan, and Olegas Vasilecas. "Selecting a methodology for business information systems development: Decision model and tool support." Computer Science and Information Systems 9, no. 1 (2012): 135–64. http://dx.doi.org/10.2298/csis110315046v.

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The paper presents a decision model and a tool that helps to find an information systems development methodology (ISDM) for a computer-based business information system (IS) that is suitable to a certain IS development project or an organization dealing with IS development. The intention of the model is not only to suggest a certain ISDM, but also to propose the properties an ISDM should have to suite the project or the organization. It is designed in a way that facilitates experimentation with different project, organization and ISDM properties. Based on the model we created a tool that has been applied on several cases in which we validated the correctness of its recommendations and established that it can have a significant positive contribution in the process of ISDM selection and in the process of improvement of existing ISDM.

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Sinuany-Stern, Zilla, and Abraham Mehrez. "Discrete Multiattribute Utility Approach to Project Selection." Journal of the Operational Research Society 38, no. 12 (December 1987): 1133. http://dx.doi.org/10.2307/2582750.

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Sinuany-Stern, Zilla, and Abraham Mehrez. "Discrete Multiattribute Utility Approach to Project Selection." Journal of the Operational Research Society 38, no. 12 (December 1987): 1133–39. http://dx.doi.org/10.1057/jors.1987.194.

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Gurgur, C. "Optimal project portfolio selection with carryover constraint." Journal of the Operational Research Society 60, no. 12 (December 2009): 1649–57. http://dx.doi.org/10.1057/jors.2008.104.

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Ramsden, Anne, Zimin Wu, and Dianguo Zhao. "Selection criteria for a document image processing system for the ELINOR Electronic Library project." Program 27, no. 4 (April 1993): 371–87. http://dx.doi.org/10.1108/eb047151.

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ZHU Fangwei, and SUN Xiuxia. "Project Management Mode in Manufacturing Enterprise: Selection, Design and Fitness." International Journal of Information Processing and Management 4, no. 3 (May 31, 2013): 208–14. http://dx.doi.org/10.4156/ijipm.vol4.issue3.20.

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Colt, Steve, Ginny Fay, and Molly McCammon. "A Simple, Effective Project Selection System for the Alaska Ocean Observing System." Marine Technology Society Journal 45, no. 1 (January 1, 2011): 68–74. http://dx.doi.org/10.4031/mtsj.45.1.1.

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AbstractThis article describes a simple but effective project prioritization and selection system developed and used by the Alaska Ocean Observing System (AOOS) (<ext-link href="www.aoos.org">www.aoos.org</ext-link>), one of eleven regional systems within the national Integrated Ocean Observation System (<ext-link href="www.ioos.gov">www.ioos.gov</ext-link>). Because Alaska has 71,000 km of coastline, extreme weather, and limited existing infrastructure, developing and operating a fully functioning ocean observing system will be challenging and quite costly. With AOOS’s recent annual budgets averaging only about $1.5 million (including program administrative costs), the AOOS Board must choose which projects to fund first from a long list of candidates. Working with staff, the board developed a project selection system that integrates scientific and socioeconomic criteria and seeks to balance benefits, costs, and risks. That system draws on consultation with information users and on analyses by both scientific and socioeconomic technical advisory committees. The board found the system to be efficient and effective; it may be useful to other programs and regions developing coastal ocean observing systems.

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Su, Limin, Huimin Li, Yongchao Cao, and Lelin Lv. "Project Delivery System Decision Making using Pythagorean Fuzzy TOPSIS." Engineering Economics 30, no. 4 (October 30, 2019): 461–71. http://dx.doi.org/10.5755/j01.ee.30.4.22041.

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The selection of project delivery systems is a complex decision-making process, which is also a critical task for owners. The complexity problem arises from the uncertainty of decision making environment and construction project itself. Pythagorean fuzzy sets (PFS), as an extension from intuitionistic fuzzy sets (IFSs) to deal with uncertainty information, has attracted more scholars’ attention in the decision making area. In this paper, we develop three similarity measures (i.e., 1-type PFSs similarity measure, 2-type PFSs weighted similarity measure, 3-type PFSs weighted similarity measure), and investigate their properties. Then an improved TOPSIS decision making framework is further established with PFSs information, in which the proposed similarity measures are employed to measure the similarity degree between each alternative and negative ideal solution and positive ideal solution. Finally, a case study of the selection of project delivery systems is presented to proof the performance of the proposed decision making method.

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Çelikbilek, Yakup. "A grey analytic hierarchy process approach to project manager selection." Journal of Organizational Change Management 31, no. 3 (May 14, 2018): 749–65. http://dx.doi.org/10.1108/jocm-04-2017-0102.

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Purpose Evaluations of grey systems and systems with subjective judgements are always like an impasse for science and companies. Especially, calculations of the problems which include various units are really difficult situations. The purpose of this paper is to propose a grey analytic hierarchy process (G-AHP) for engineering and managerial problems with grey systems to make more clear and objective decisions. Design/methodology/approach Proposed G-AHP approach is applied to project manager selection for a software project of an energy company. The application includes three different units as year, score and assessment. Six engineers are evaluated with 25 criteria in the application. Weights of the factors and assessments are done by three top managers of the company as pairwise comparisons. Other data in the decision matrix are obtained from the personal information and exam results of engineers. Findings Final weights of the criteria and evaluations of engineers are all done with the proposed G-AHP. Obtained results of G-AHP are also compared with grey “VlseKriterijumska Optimizacija I Kompromisno Resenje” results as a validation of the calculations and proposed approach. Final results of the applications are ranked for the evaluations and comparison. All results of the case study are concluded with the effectiveness and applicability of the proposed G-AHP method both for this study and other fields of science, engineering and management. Originality/value This study provides to evaluate and interpret grey systems with different units and subjective judgements for science, engineering and management more clearly and objectively in an easier way.

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Hu, Qiaohai Joice, and Joseph Szmerekovsky. "Project Portfolio Selection: A Newsvendor Approach." Decision Sciences 48, no. 1 (February 29, 2016): 176–99. http://dx.doi.org/10.1111/deci.12214.

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Arifin, Furry. "Manajemen Proyek Perangkat Lunak." ComTech: Computer, Mathematics and Engineering Applications 2, no. 1 (June 1, 2011): 284. http://dx.doi.org/10.21512/comtech.v2i1.2754.

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This article contains several things to be controlled by a Project Manager in order to be able to develop a software engineering project plan. The development methodology begins with survey, analysis and engineering in software planning. Establishing a good project team structure is as important as selecting team members who are also experts in their field. Perceiving that the construction and implementation of information technology-based systems are executed using a project management approach, the project manager is then the most responsible officer for the team performance. The project Manager will lead his team to planning and developing information technology projects in accordance with their intended target. There are three fields that must be considered in an information system project, namely: information systems, information technology, and information management.

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Mosley Jr, John C., and Abdulaziz A. Bubshait. "Project procurement systems for mechanical, electrical and piping projects in Saudi Arabia." Engineering, Construction and Architectural Management 24, no. 6 (November 20, 2017): 1004–17. http://dx.doi.org/10.1108/ecam-02-2016-0055.

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Purpose The purpose of this paper is to investigate the empirical relationship between mechanical, electrical, and piping (MEP) project procurement systems and project performance in the context of the Saudi Arabian construction industry. The study plans to expand the understanding of the relationship of design-bid-build (DBB) and design-build (DB) performance with respect to change order rate, cost growth, and schedule growth. Design/methodology/approach The paper statistically analyzed 207 MEP projects. It investigates the relationship of project procurement systems and three project performance indicators. Hypotheses testing was used to assess the relationship. Findings The results show that projects using the DB procurement system are more likely to have less cost overrun and experience a lower change order rate compared to DBB for pricing and selection methods, yet neither procurement system had an advantage over the schedule duration based on the study’s sample. Research limitations/implications The lack of information identifying the cause of contract change orders limits the interpretation of the findings. Sample sizes in some of the test criteria were statistically small, thus limiting the reliability or confidence level of the analysis for those samples. Caution should be used when interpreting the results as representative of the Saudi Arabian construction industry as a whole; due to the owner’s project execution policies, procedures, and standards, the level of enforcement of those practices may differ from other owners. Originality/value The paper fulfills and identified the relationship between the project procurement system and MEP project performance in the context of the Saudi Arabian construction industry.

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Huang, Xiaoxia, and Tianyi Zhao. "Project selection and adjustment based on uncertain measure." Information Sciences 352-353 (July 2016): 1–14. http://dx.doi.org/10.1016/j.ins.2016.02.050.

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O'Callaghan, Ramon. "Fixing the Payment System at Alvalade XXI: A Case on IT project Risk Management." Journal of Information Technology 22, no. 4 (December 2007): 399–409. http://dx.doi.org/10.1057/palgrave.jit.2000116.

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This case describes the implementation and subsequent failure of an innovative system installed in the bars of Alvalade XXI, the recently built football stadium in Lisbon, Portugal. Casa XXI, the company running the bars, had entrusted the project to an IT supplier who had limited experience with large systems. During the inauguration, the system failed spectacularly creating a chaotic situation. The fiasco meant not only a financial loss, but also a blow to the reputation of the company. The management blamed the supplier for the failure. The supplier, however, claimed that the problem was not technical but organizational, that is, poor planning of operations. Subsequent tests were inconclusive and failed to restore trust. At the end of the case, the CEO is considering the possibility to switch to an alternative supplier. He also wonders what they could have done to manage the project and the associated risks more effectively. The case highlights risk and project management issues in large systems implementations. The discussion can be structured around cost/benefit analysis, risk assessment, and project management. Relevant dimensions include: company operations, project scope, degree of innovation, technology used, system architecture, supplier selection, and project organization. In addition, the case raises governance questions: Who is responsible for the project? Even if the project is outsourced, how should the roles and responsibilities be apportioned between the company and the IT supplier(s)? What mechanisms should be used to plan and execute IT projects, and control their risks?

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Ríos, Jimmy Molina, and Nieves Pedreira-Souto. "Approach of Agile Methodologies in the Development of Web-Based Software." Information 10, no. 10 (October 13, 2019): 314. http://dx.doi.org/10.3390/info10100314.

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The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project managers delimit when choosing them. Selecting a methodology involves more than only the associated processes or some documentation. Based on the above, we could define as the main concerns the approach with which we identify the methodology, the needs of the company, the size, and qualities of the project, and especially the characteristics of agile development that they possess. However, there are several difficulties in selecting the most appropriate methodology due to the features in common; Will it be suitable for my project? What challenges will be presented in the process? Will my team understand each stage? Will I be able to deliver software that satisfies the client? Project managers create these questions, which seem manageable but have huge effects. This paper presents a systematic literature review based on the analysis of the approaches of six web development methodologies. The aim of the study is to analyze the approaches presented by relevant methodologies, identifying their common agile characteristics and managing to contrast both its benefits and limitations during a project. As a result, we could itemize five common features, which are presented within the processes; (1) flexibility, (2) constant communication of the workgroup, (3) use of UML, (4) the inclusion of the end-user and (5) some documentation.

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Journal articles on the topic 'Information Systems Project Selection'

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