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    Analysis of factors affecting project communications with a hybrid DEMATEL-ISM approach (A case study in Iran)
    (Elsevier, 2020-08-01)
    Project management; Communications management; Fuzzy DEMATEL; Interpretive structural modeling (ISM); MICMAC Analysis; Construction engineering; Human resource management; Industry management; Business management; Behavioral psychology; Business One of the main factors in the success of projects is communications management and proper and timely distribution of information among all internal and external project stakeholders. Despite of emphasizing on the importance of project communications in the literature, there are few studies identifying factors influencing project communications. This research aims to address this shortcoming by identifying and determining sequences and relationships factors affecting project communications and their clustering. The informed communication strategy allows managers to structure the information flow in a better and more controlled manner and to avoid the costs caused by lack of effective and timely communication. The present study is conducted to help clarify the views of the organization's managers and project managers on project communications, and to identify factors affecting it and how they effectively communicate to successfully accomplish the projects. First a number of factors influencing project communications are identified on the basis of previous studies and interviews with experts and project managers working in oil, gas and power plant construction megaprojects in Iran. Then, these factors are analyzed by using the combination of fuzzy DEMATEL and Interpretive Structural Modeling (ISM) techniques. The relationships and sequence between the indicators are determined so that it can be effective in project communications planning and project success through providing an insight for senior managers and project managers.
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    Hybrid fuzzy MCDM and FMEA integrating with linear programming approach for the health and safety executive risks: a case study
    (Emerald, 2021-03-01)
    The of this study is to present a new failure mode and effects analysis (FMEA) approach based on fuzzy multi-criteria decision-making (MCDM) methods and multi-objective programming model for risk assessment in the planning phase of the oil and gas construction projects (OGCP) in Iran. Design/methodology/approach This research contains multiple steps. First, 19 major potential health and safety executive (HSE) risks in OGCP were classified into six categories with the Delphi method. These factors were distinguished by the review of project documentation, checklist analysis and consulting with experts. Then, using the fuzzy SWARA method, the authors calculated the weights of major HSE risks. Subsequently, FMEA and PROMETHEE approaches were used to identify the priority of main risk factors. Eventually, a binary multi-objective linear programming approach was developed to select the risk response strategies, and an augmented e-constraint method (AECM) was used. Findings Regarding the project triple well-known constraints of time, cost and quality, which organizations usually confront, the HSE risks of OGCP were identified and prioritized. Also, the appropriate risk response strategies were also suggested to the managers to be adopted regarding the situations. Originality/value The present research points at the HSE risks’ assessment integrating the fuzzy FMEA, step-wise weight assessment ratio analysis and PROMETHEE techniques with the AECM. Further to the authors’ knowledge, the quantitative assessment of the HSE risks of OGCP has not been done using the combination of the fuzzy FMEA, MCDM and AECMs.
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    Time flies when you are having fun: The mediating effects of project opportunity management in the relationship between project leaders’ self-efficacy and multidimensional project success
    (SAGE Publishing, 2022-11-01)
    Numerous studies have linked various leadership styles with project success; however, the role of project leaders’ self-efficacy and project opportunity management has been rarely studied. The present study examines the effects of project leaders’ self-efficacy on multidimensional project success through project opportunity management. Drawing on data of 386 project professionals, the hypothesized relationships were tested using structural equation modeling (SEM) via MPlus. Empirical findings support that project opportunity management helps to explain and predict the relationship between project leaders’ self-efficacy and project success. The study extends project management literature by presenting a new model of multidimensional project success.
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    A fuzzy project buffer management algorithm: A case study in the construction of a renewable project
    (Taylor & Francis, 2022-03-09)
    One of the major problems with projects is that they are not completed according to schedule. Uncertainty always exists at the heart of real-world project scheduling problems. This paper introduces a fuzzy project buffer management (FPBM) algorithm which is a combination of the adaptive procedure with resource tightness (APRT) and fuzzy failure mode and effects analysis (FFMEA) methods. This paper aims to present an efficient model for project buffer sizing by taking FFMEA into account to reach a more realistic schedule. In this research, for increasing the efficiency of the APRT method, the FFMEA technique is simultaneously applied with them. This research was carried out as a case study in a renewable energy (RE) project. The methodology of this research consists of two phases. The first phase is the implementation of the APRT buffer sizing method. In the second phase of the research methodology, the fuzzy FMEA method is implemented. To validate the proposed model, the results are compared to several buffer management models proposed recently. Also, the results were compared with the results of similar projects. The findings show that considering the fuzzy FMEA technique in the APRT method, a more realistic schedule was obtained in this project.
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    Scalable Agile Frameworks in Large Enterprise Project Portfolio Management
    (Institute of Electrical and Electronics Engineers Inc., 2023-01-01)
    This article explores the implementation of scalable agile frameworks in project portfolio management (PPM) of large companies when companies should approach an agile transformation process that works successfully in their PPM. This study adds to the limited knowledge on how companies find and manage the challenges they may be susceptible to during planning or anticipation of agile transformation. The qualitative case study method allows for the analysis of project portfolios with the implementation of scalable agile frameworks in large companies. Fifty-nine project portfolios from 22 companies were studied, and 43 semi-structured in-depth interviews were conducted. The results found portfolios of projects with high variability in service, product, and innovation and hybrid implementations of the Scaled Agile Framework (SAFe), Spotify Model, and Scrum, as well as different challenges related to the implementation of scalable agile frameworks in PPM, organizational culture, resistance to change, and strategic leadership. These findings show that agile frameworks are a viable option for achieving fast time-to-market, increasing team productivity, and improving overall communication. Given that the study addressed fifty-nine portfolios of projects in large companies, the analytical generalizations allowed us to find and verify theoretically significant patterns that can only be applied to this type of company and not to SMEs. Finally, the findings suggest the need for managerial development that promotes a broader orientation of scalable agile frameworks in PPM; specifically, better knowledge and skills about implementing these frameworks in companies to lead and organize an agile transformation successfully.