A multidisciplinary team building method based on competency modelling in design project management

Hlaoittinun, Onanong; Bonjour, Éric; Dulmet, Maryvonne

doi:10.1080/17509653.2008.10671044

Cited by 11 publications

(7 citation statements)

References 32 publications

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“…Bajaj and Russel (2008) combine ideas from social networks and work-flow modeling to optimize the overall cohesiveness of multiple work groups with an integer programming model. Hlaoittinun et al (2008) use a clustering algorithm and an integer program to build a single project team based on competency requirements. In the area of group technology and cellular manufacturing, researchers have employed goal programming to minimize deviations of objective measures from aspired levels.…”

Section: Prior Researchmentioning

confidence: 99%

Forming competitively balanced teams

Rubin

Bai

2015

IIE Transactions

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We examine the problem of assigning individuals to teams so as to make the teams as similar as possible to each other across multiple attributes. This may be complicated by a variety of constraints, including restrictions on whether specific individuals can or should be assigned to the same team. The problem arises in multiple contexts, including youth recreation leagues and academic programs or courses with mandated project groups. We propose a model for the problem and investigate various solution approaches, including mixed integer programming and several heuristics.

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Section: Prior Researchmentioning

confidence: 99%

Forming competitively balanced teams

Rubin

Bai

2015

IIE Transactions

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“…A more generic approach towards team composition has been proposed by Hlaoittinun et al [9]. They proposed to use array-based clustering in order to group aspects from the context with aspects belonging to the team itself.…”

Section: Team Compositionmentioning

confidence: 99%

Location-based team recommendation in computer gaming scenarios

Brocco¹,

Woerndl²

2011

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data

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Computer games have evolved from rather simple single player games to multi player games played online in virtual or mixed/augmented reality worlds. This paper presents ideas to support team composition in different computer gaming scenarios. The approach is based on a generic team composition model. Various recommender techniques can be used in this framework. We explain how to extend this framework to integrate location using spatial operations in two different ways: location as constraints in the meta model and location as part of team member variables that describe attributes of potential team members. We then show how to utilize the proposed solution in location-based team recommenders ranging from games running in completely virtual environments to games whose course of action takes almost completely place in the real world.

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“…A team building method based on competency modelling has been proposed in [28] for supporting project leaders to organise the actors into teams. The authors suggested that incorporating a clustering algorithm as a step of the method results in preserving expertise and thus helps project managers to find better trade-offs between project cost (short term goal) and competency dynamics (long term goal).…”

Section: A Algorithms and Modelsmentioning

confidence: 99%

Betting on Yourself: A Decision Model for Human Resource Allocation Enriched With Self-Assessment of Soft Skills and Preferences

et al. 2022

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Recently, many approaches were proposed to support human resource management in finding the best human resources for available jobs. However, existing solutions do not effectively evaluate employees' skills, or they do only partially, neither provide mechanisms to describe subjects' skills and desiderata. To face this issue, this paper proposes a decision model for assisting human resource management in effectively evaluating the degree of mutual satisfaction in job-employee assignments. In particular, the decision model has been devised with the following core characteristics: i) employees' skills are modeled by combining hard skills (e.g.: academic training and competencies) and soft skills (e.g.: socio-relational experiences); ii) employees' soft skills are self-evaluated, giving importance not so much to experiences possessed but rather how such skills have been applied over time; iii) employees and managers can selfevaluate their preferences to enable the achievement of the optimal allocation by maximizing the global mutual satisfaction iv) partial matches between characteristics and desires of both employees and jobs are measured through a set of tailored fuzzy metrics. The proposed decision model has been validated in a real case to support the allocation of newly hired employees among open job positions in a Public Administration. Results showed an adequate ability of the proposed model both to support the description of employees, skills, jobs and preferences, and to suggest the best allocation maximizing the global mutual satisfaction. Summarizing, a decision model for human resource management with innovative characteristics is proposed and used to support decisions for a real allocation problem.

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A multidisciplinary team building method based on competency modelling in design project management

Cited by 11 publications

References 32 publications

Forming competitively balanced teams

Forming competitively balanced teams

Location-based team recommendation in computer gaming scenarios

Betting on Yourself: A Decision Model for Human Resource Allocation Enriched With Self-Assessment of Soft Skills and Preferences

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