2017
DOI: 10.1108/k-06-2015-0150
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A model for project team formation in complex engineering projects under uncertainty

Abstract: 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 ch… Show more

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Cited by 18 publications
(9 citation statements)
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“…They utilize the particle swarm optimization algorithm to solve their model. Hosseini and Akhavan (2017) develop a model to select team members. Their model aims to maximize knowledge sharing among team members and to minimize the total cost of tasks while balancing workload among team members.…”
Section: Related Workmentioning
confidence: 99%
“…They utilize the particle swarm optimization algorithm to solve their model. Hosseini and Akhavan (2017) develop a model to select team members. Their model aims to maximize knowledge sharing among team members and to minimize the total cost of tasks while balancing workload among team members.…”
Section: Related Workmentioning
confidence: 99%
“…The knowledge sharing process is described as the transfer and dissemination of explicit and tacit knowledge between individuals (Probst et al, 2000;Lin & Lee, 2005;Kamasak & Bulutlar, 2010;Rusly et al, 2012;Lee, Shiue, & Chen, 2016;Hosseini & Akhavan, 2017;Matoskova & Smesna, 2017;AlShamsi & Ajmal, 2018;Marques, La Falce, Marques, De Muylder, & Silva, 2019) in order to efficiently manage and execute the process through integrating organizational and technical tools (Probst et al, 2000;Kianto et al, 2016;Lee et al, 2016;Matoskova & Smesna, 2017), to generate new knowledge (García-Fernández, 2015) which would allow the organization to gain competitive advantage (Wee & Chua, 2013;Le & Lei, 2018;Rafique, Hameed, & Agha, 2018;Dzenopoljac et al, 2018). Knowledge sharing can be defined as collaboration based on trust, whereby explicit and tacit knowledge is shared and accessed using the available knowledge potential to implement the knowledge strategy and to achieve organizational performance outcomes.…”
Section: Theoretical Framework and Hypothesismentioning
confidence: 99%
“…With the emergence of virtual teams there also seems to be an increase in models and mathematical techniques to assist in forming project teams. This is often carried out when team members are selected from an available pool of resources from a distant location, due to which prior knowledge of team members is not available (Hosseini & Akhavan, 2017). These methods include using social network analysis (Wi et al, 2009), the use of algorithms to select teams for specific tasks (Gronau et al, 2007), or fuzzy optimisation technique to select project teams taking constraints into account (Baykasoglgu et al, 2007).…”
Section: Team Member Assignment In Practicementioning
confidence: 99%