Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management

Mammadova, Masuma; Jabrayilova, Zarifa

doi:10.1007/978-3-319-75408-6_17

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…-some of the 16 criteria in the Cattell test may be considered significant, while the rest may be considered desirable or even insignificant, in accordance with the conditions of personnel management on the platform. In this case, the issue under consideration can be solved by bringing it to fuzzy multi-scenario decision-making methods [12]; -in accordance with the conditions of personnel management on the platform, it may be required to take into account the importance of their personal quality criteria in relation to each other. In this case, the problem can be solved by bringing it to the multi-criteria decision-making methods, taking into account the importance coefficients of the criteria [12];…”

Section: Discussionmentioning

confidence: 99%

The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms

Mammadova

Jabrayilova

2021

TT: PhE

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Oil and gas companies have an urgent need for technologies that provide complete and reliable information about the actual state of health and safety of personnel. To solve this problem, the article proposes a concept solution for the development of a system monitoring of the psychophysiological health of workers employed on offshore oil platforms. The concept is based on a person-centered approach and allows monitoring of health of employees simultaneously linking them to the context of the environment. The urgency of the problem is confirmed by statistical data, according to which workers in the oil and gas industry are 8 times more likely to get injured. The article analyzes the specific features of the professional activity of the workers employed on offshore oil platforms and shows that the deterioration of their health and psychological condition due to the long-term “sea environment” is unavoidable. It offers to develop an intelligent system for monitoring the psychophysiological condition of workers employed on offshore oil platforms and to assess its suitability for their position with the reference to the Cattell test and fuzzy patterns recognition. The development and systematic operation of such a system may timely detect undesirable consequences for the health status of workers employed on offshore oil platforms and prevent wrong decisions due to the “human factor”

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Section: Discussionmentioning

confidence: 99%

The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms

Mammadova

Jabrayilova

2021

TT: PhE

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“…Due to the high capability of MADM methods for choosing the best alternative based on a number of criteria, some of which may be in contradiction with each other, these methods have become one of the most popular topics in the decision theory literature (Amiri et al, 2020;Barak & Dahooei, 2018;Stanujkic et al, 2015;Yazdani et al, 2019). These methods have also been used in the field of HRM on certain issues such as performance management, staff selection, and recruitment (Abdullah & Zulkifli, 2015;Balezentis et al, 2012;Beskese et al, 2018;Chou et al, 2012;Dursun & Karsak, 2010;Ensslin et al, 2013;Heidary Dahooie et al, 2018;Horv athov a et al, 2019;Kelemenis & Askounis, 2010;Mammadova & Jabrayilova, 2018;Polychroniou & Giannikos, 2009;Rahmanniyay & Yu, 2019;Sang et al, 2015;Tuana, 2018;Zhang & Liu, 2011).…”

Section: Introductionmentioning

confidence: 99%

A multi-attribute framework for the selection of high-performance work systems: the hybrid DEMATEL-MABAC model

Estiri

Dahooie

Vanaki

et al. 2020

Economic Research-Ekonomska Istraživanja

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Research in strategic human resource management indicates that high performance work systems (HPWS) have a positive impact on the overall performance of an organization as a result of better human resource (HR) outcomes. Regarding the multi-dimensional and complex nature of these factors, common statistical models are not useful for examining the performance of HPWS. Using the capabilities of multi-attribute decision-making (MADM) methods to deal with various criteria that may be contradictory, this study proposes a MADM-based framework that provides the opportunity to prioritize HR practices. Based on this framework, high-performance HR practices and their related HR outcomes were identified after studying the theoretical literature and ascertaining the views of decision-makers and HR experts. Then, after looking at the interactions among HR outcomes, the weights of the criteria were calculated using the method of the decision making trial and evaluation laboratory (DEMATEL). Then, the alternatives were ranked using the multi-attributive border approximation area comparison (MABAC) method. Finally, the designed framework was implemented in an organization active in the banking industry. This framework can be used to improve employees' performance and, consequently, the performance of the organization. Accordingly, taking into account the resource constraints organizations face, the priorities presented can be helpful in budgeting human-resource-management (HRM) improvement projects and making an appropriate resource allocation for this.

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“…In this regard, human resource management at the professional level has become a strong modern means used in HR. Fundamentally new attitude towards the personnel as valuable resource of the organization actualizes the importance of developing new conceptual approaches and technologies for HRM [2,3]. Therefore, in recent years, computer technology is increasingly used for the HRM problem solutions.…”

Section: Introductionmentioning

confidence: 99%

The Principles of Developing a Management Decision Support System for Scientific Employees

Jabrayilova

2019

EUREKA: Physics and Engineering

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Employees engaged in mental work have become the most valuable assets of any organization in the 21st century. The satisfaction of those involved in mental work requires the provision of objectivity and transparency in their decision-making. This, in turn, entails the development of scientifically motivated decision making mechanisms and scientific-methodological approaches to evaluate their performance based on innovative technologies. The main goal of this article is in development of the scientific and methodological framework for the establishment of a decision support system to manage the employees engaged in mental work and operating in uncertainty. In this regard, initially, the question of evaluating the activities of scientific workers is examined, its characteristic features are determined, and the fuzzy relation model is proposed as a multi-criterion issue formed in uncertainty. Taking into consideration the hierarchical structure of the criteria that allows evaluating the activities of scientific workers, a phased solution method based on an additive aggregation method is proposed. In accordance with the methodology, a functional scheme of the decision support system to manage the scientific personnel is developed. The working principle of each block and the interaction of the blocks are described. The rules for the employees' management decisions are shown by referring to the knowledge production model. Based on the proposed methodological approach, the implementation phases of the decision support system for the management of the scientific workers of the Institute of Information Technology of ANAS are described. To evaluate the employees' performance, the tools to collect initial information, evaluate the system of criteria, define their importance coefficients and mathematical descriptions are provided. Some results of the system software are presented. The opportunities of the system based on the proposed methodology to support enterprise mangers to make scientifically justified decisions are provided.

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Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management

Cited by 5 publications

References 17 publications

The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms

The intelligent monitoring and evaluation of the psychophysiological state of the workers employed on offshore oil and gas platforms

A multi-attribute framework for the selection of high-performance work systems: the hybrid DEMATEL-MABAC model

The Principles of Developing a Management Decision Support System for Scientific Employees

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