Social structure optimization in team formation

Farasat, Alireza; Nikolaev, Alexander G.

doi:10.1016/j.cor.2016.04.028

Cited by 21 publications

(11 citation statements)

References 52 publications

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“…Team formation is a complex task necessary in any project or activity in which several people are required to work together and share objectives and responsibilities. There are excellent papers based on general team formation theories (Chen and Lin, ; Wi et al, ; Feng et al, ; Zhang and Zhang, ; Milojevic, ; Farasat and Nikolaev, ), presenting proposals and approaches for solving the complex task of properly selecting the members of a team.…”

Section: Existing Team Formation Solutionsmentioning

confidence: 99%

“…They put forward the reliable team formation model that discriminates between two main importance‐oriented team member roles: main and backup. Also, from a structure‐based perspective, Farasat and Nikolaev () reported a quantitative model for the dependence of team formation on team social structure. This mathematical framework explores properties of the social team structure like edges, full dyads, triplets, and k‐stars.…”

Section: Existing Team Formation Solutionsmentioning

confidence: 99%

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Team Formation Using a Systems Thinking Approach

Sánchez-Segura

Hadžikadić²,

Dugarte-Peña

et al. 2018

Syst. Res

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Team performance varies depending on the organization of their members, the exploitation of their synergies and their planning to optimally meet the minimum requirements with the best results. This article reports a dual-purpose methodology. First, we use the soft systems methodology to start up viability-driven teamwork based on team complexity, a better understanding of idiosyncrasy, and the synergies leveraging team behavior. The viable systems model is used to propose the essential functions of a team that effectively operates in dynamic organizational environments. Second, this research provides guidance for training teams to apply holistic thinking in their problem-solving practice by helping them to co-integrate and apply systemic approach for immersive problem solving. In essence, this article reports success drivers, generic teamwork structures and viability accomplishment references for agilely, effectively and synergistically launching teams. We wrap up by discussing the lessons learned from applying this approach to several teams and outline future developments.

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Section: Existing Team Formation Solutionsmentioning

confidence: 99%

Section: Existing Team Formation Solutionsmentioning

confidence: 99%

Team Formation Using a Systems Thinking Approach

Sánchez-Segura

Hadžikadić²,

Dugarte-Peña

et al. 2018

Syst. Res

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“…In project management, it is essential that teams are formed coherently [2,3]. Research shows that team formation is an ever-present problem and has been explored in a variety of business sectors [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…The social network describes the individual preferences used to find cultural traits, similarity or identify specific people in social systems. There are multiple studies that use metrics from social networks, such as network diameter, density, and centrality to form teams [4,5,9]. Network theory metrics can help us to establish a core to qualify the viability of teams.…”

Section: Introductionmentioning

confidence: 99%

Towards Team Formation Using Belbin Role Types and a Social Networks Analysis Approach

Flores-Parra

Castafon-Puga

Rosales-Cisneros

et al. 2018

2018 IEEE Technology and Engineering Management Conference (TEMSCON)

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Problems relating to team formation is common across many industrial sectors, including education, sport and general business. For Team Leaders, team member selection can be a critical challenge due to the complexity in creating a wellbalanced productive unit. It is beyond manual implementation to build near optimal teams as pools of employees grow. An essential requirement is teamwork skill, especially in engineering workgroups where the project member is expected to know how to collaborate with peers. In this paper, we use a social network analysis approach to represent social links between prospective team members and use the Belbin Team Roles as the main characteristic of prospective members. In our case study, based on an undergraduate computer engineering course, students expressed their preferences for working with three peers at the beginning of the course for an assessment. This information was used to distinguish groups within the social network using network analysis algorithms. We compared the network analysis results versus groups formed by a Teacher. Finally, we discuss the advantages and disadvantages of project teams, from a social network analysis approach, to making team formation recommendations into a socio-technical system.

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“…A mathematical framework for dealing the team formation problem is proposed in Farasat and Nikolaev (2016) explicitly incorporating social structure among experts where a LK-TFP heuristic is used to perform variabledepth neighborhood search and compared the results with standard genetic algorithm. In our paper by given a pool of individuals, an improved PSO algorithm for team formation problem is proposed and compared the results with standard PSO.…”

Section: Introductionmentioning

confidence: 99%

An improved particle swarm optimization with a new swap operator for team formation problem

2018

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Formation of effective teams of experts has played a crucial role in successful projects especially in social networks. In this paper, a new particle swarm optimization (PSO) algorithm is proposed for solving a team formation optimization problem by minimizing the communication cost among experts. The proposed algorithm is called by improved particle optimization with new swap operator (IPSONSO). In IPSONSO, a new swap operator is applied within particle swarm optimization to ensure the consistency of the capabilities and the skills to perform the required project. Also, the proposed algorithm is investigated by applying it on ten different experiments with different numbers of experts and skills; then, IPSONSO is applied on DBLP dataset, which is an example for benchmark real-life database. Moreover, the proposed algorithm is compared with the standard PSO to verify its efficiency and the effectiveness and practicality of the proposed algorithm are shown in our results.

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Social structure optimization in team formation

Cited by 21 publications

References 52 publications

Team Formation Using a Systems Thinking Approach

Team Formation Using a Systems Thinking Approach

Towards Team Formation Using Belbin Role Types and a Social Networks Analysis Approach

An improved particle swarm optimization with a new swap operator for team formation problem

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