Abstract
Forming an optimal collaborative team is achieved using members characteristics to improve team efficiency. A team’s performance may have a negative effect when a team is formed randomly. Moreover, it is quite impossible to achieve an optimal team manually as the formation can expand into countless possibilities. Hence, this paper presents a decision-making framework for collaborative team formation by incorporating Fuzzy Logic and Genetic Algorithm (Fuzzy-GA). The framework has been initiated by combining effective team formation factors such as skills, trust, leadership, and individual performance. Unified Theory of Acceptance and Use of Technology (UTAUT) is utilised to survey the readiness and technology acceptance of the organisations’ employees in adopting the proposed decision-making approach to form a collaborative team. The UTAUT survey had proven that behavioural intention (BI) had a positive impact on the performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). However, behavioural intention (BI) had a negative impact on the voluntariness of use (VU); thus the transformation of collaborative team formation must be further explored to increase the team’s voluntarism towards this automated collaborative team formation.
Highlights
It is important to have an effective team in an organisation, where there is an issue with the operating costs
The UTAUT survey had proven that behavioural intention (BI) had a positive impact on the performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC)
The acceptance of users to the Fuzzy-genetic algorithm (GA) collaborative team formation was evaluated by using the UTAUT survey, and the results were presented
Summary
It is important to have an effective team in an organisation, where there is an issue with the operating costs. It has been shown that team performance exceeded the efficiency of two self-employed people [2,5] This indicated the importance of communication and collaboration between team members. Numerous research was executed to ascertain the effective decision support approach to form a collaborative team in an organisation. This paper aims to study the acceptance of the proposed fuzzy and genetic algorithm-based (Fuzzy-FA) decision-making approach of collaborative team formation. To achieve this aim, the objectives of this paper are 1) to outline the combinations of factors for the decision-making system to form a collaborative team, 2) to propose a framework of a decision-making system by using Fuzzy Logic (FL) and Genetic Algorithm (GA) and 3) to evaluate the acceptance by using the Unified Theory of Acceptance and Use of Technology (UTAUT) survey.
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