Talent pool membership in sport organisations with fuzzy analytic hierarchy process

Mavi, Neda Kiani; Mavi, Reza Kiani

doi:10.1504/ijlsm.2014.057978

Cited by 10 publications

(4 citation statements)

References 50 publications

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“…Specifically, the more information that can be provided, the greater the contribution to the system [32]. This feature of information entropy is used to solve the index weight portion of multi-attribute decision-making problems [33].…”

Section: Entropy Weight Methodsmentioning

confidence: 99%

Research on Collaborative Efficiency Evaluation of Complex Supplier Network under the Background of Intelligent Manufacturing

et al. 2021

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Supplier network collaborative efficiency evaluation is important content in the transformation and upgrading of intelligent manufacturing enterprises. Aiming at the shortcomings of existing methods, this paper proposes a new method to evaluate the collaborative efficiency of internal members of a complex supplier network based on complex network theory. Based on the analysis of the characteristics of the complex supplier network, from the perspective of the system, the macro supplier network is divided into multiple multi-level supplier micro subsystems with manufacturing enterprises as the core. In order to reasonably quantify the collaboration relationship of members in the subsystem structure model, the collaboration entropy is introduced as a measurement tool, and combined with the hesitation fuzzy scoring function, and the collaborative evaluation model of the complex supplier network is constructed. By quantifying the collaboration relationship among the members in the subsystem and summarizing it step by step and iteratively, the collaborative efficiency evaluation of the complex supplier network from local to overall is realized. Finally, taking a large battery manufacturing enterprise in China as an example, the proposed method is used to calculate the collaboration entropy, collaborative efficiency, and collaboration ratio of members at different supplier network levels. The results verify the effectiveness of the model.

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Section: Entropy Weight Methodsmentioning

confidence: 99%

Research on Collaborative Efficiency Evaluation of Complex Supplier Network under the Background of Intelligent Manufacturing

et al. 2021

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“…The first and the largest subcategory of research contributions concerns employees’ selection ( n = 15). This subcategory addressed selection either based on competency (Hajiha et al , 2006; Karatop et al , 2015; Mavi and Mavi, 2014; Shahhosseini and Sebt, 2011; Wi et al , 2009), or a specific employee segment (such as army personnel) (Hooper et al , 1998), or with the focus on reduction of cost and time involved in the selection process (Karam et al , 2020; Maree et al , 2019; Shahhosseini and Sebt, 2011), or based on performance ranking (Canós and Liern, 2004; Fowler et al , 2008), or predicting work behaviors (Chen and Chien, 2011; Chien and Chen, 2008). Another subcategory discussed automation in the staffing of employees ( n = 4) (Gupta et al , 2018; Nawaz, 2019; Richter et al , 2008; Vinichenko et al , 2019), followed by problems of the likelihood of absenteeism by the employee ( n = 1) (Varalakshmi and Dhivya, 2019), allocation of employees to specific jobs ( n = 1) (Lin et al , 2020), employee transfer problem ( n = 1) (Acharyya and Datta, 2020) and finally a study on understanding the importance of AI in talent acquisition ( n = 1).…”

Section: Analysis and Findingsmentioning

confidence: 99%

“…Fuzzy rule-based systems deal with semi-structured problems and are equipped with deciphering human judgment better than techniques that utilize adequate input data but disregard the critical interactions and logical possibilities within the data (Selden et al , 2000). In AI – HRM applications, it can be used for personnel selection and optimal staff design (Canós and Liern, 2004), differentiating between a suitable and nonsuitable job applicant (Karam et al , 2020; Shahhosseini and Sebt, 2011), eliminating inaccuracy in evaluating the proportionate significance of traits and the performance gradings of the choices (Mavi and Mavi, 2014). Furthermore, expert judgment can act as an input for the fuzzy logic implementation, which can further train artificial neural networks.…”

Section: Analysis and Findingsmentioning

confidence: 99%

When technology meets people: the interplay of artificial intelligence and human resource management

Qamar

Agrawal

Samad

et al. 2021

JEIM

104

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PurposeAn original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.Design/methodology/approachFifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.FindingsA comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.Research implications/limitationsAn original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.Originality/valueThis study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.

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“…As a result, they simplified the player selection according to the evaluation of the players for positions. Mavi and Mavi (2014) used AHP and TOPSIS to rank the German football clubs in Bundesliga according to player wages, coach wages, points, spectator attendances to the matches, stadium utilizations and total revenues of the team. Dadelo et al (2014) used TOPSIS to evaluate the performances of basketball players based on the positions and find the optimal formation for the basketball teams.…”

Section: Alphanumeric Journalmentioning

confidence: 99%

Çok Kriterli Karar Verme Yöntemleri Kullanarak Spor Kulüplerinde Lojistik Kararların Verilmesi

Karaköprü

Kabadurmuş

2019

Alphanumeric Journal

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Sports have evolved into a more professional and industrial sector in the last decades and the usage of analytical decision making methods in sports clubs has gained importance than ever. Decision makers in sports clubs have to make many decisions about their logistics activities. In sports clubs, decision making of transportation of a team to the games is a complex problem that needs to be solved carefully. In this study, a Multi-Criteria Decision Making method has been proposed to solve the transportation problem of sports clubs. This problem has not been addressed for sports clubs in the literature. In this study, a two-step method is proposed to solve the problem. Analytic Hierarchy Process (AHP) is used to determine the criteria weights and ELECTRE is used to order transportation alternatives from the best to the worst. To test the proposed method, a real-life case study is presented. In this real problem, the best transportation option among various alternatives such as outsourcing or buying large, medium or small sized buses for the senior team of a volleyball branch of a Turkish sports club is chosen. The criteria are determined as cost, comfort level, time and prestige. The case study revealed that the decision makers in the club should revise their logistics decisions as the best decision is to buy a large sized bus instead of outsourcing buses per game basis.

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Talent pool membership in sport organisations with fuzzy analytic hierarchy process

Cited by 10 publications

References 50 publications

Research on Collaborative Efficiency Evaluation of Complex Supplier Network under the Background of Intelligent Manufacturing

Research on Collaborative Efficiency Evaluation of Complex Supplier Network under the Background of Intelligent Manufacturing

When technology meets people: the interplay of artificial intelligence and human resource management

Çok Kriterli Karar Verme Yöntemleri Kullanarak Spor Kulüplerinde Lojistik Kararların Verilmesi

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