Performance assessment of human resource by integration of HSE and ergonomics and EFQM management system

Amalnick, Mohsen Sadegh; Zarrin, Mansour

doi:10.1108/ijhcqa-06-2016-0089

Cited by 13 publications

(4 citation statements)

References 19 publications

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“…Convolutional neural network can solve the parameter problem on the model [ 13 ]. Using this model can reduce the parameters that need to be learned and improve the performance of the algorithm [ 14 , 15 ]. What is learned on the first layer of network is the edge features of the target, while the second layer of network is learning the high-level features formed by the combination of edge features.…”

Section: Intelligent Performance Evaluation Methods Of Urban Subway P...mentioning

confidence: 99%

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Fan

Jiang

Chen

et al. 2022

Computational Intelligence and Neuroscience

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Neural network refers to an algorithmic mathematical model that imitates the behavioral characteristics of animal neural networks and performs distributed information processing. This kind of network depends on the complexity of the system and needs to adjust the internal node relationship, so as to achieve the purpose of processing information. With the continuous development of the economy, the transportation problem needs to be solved urgently, and the urban subway has emerged at the historic moment. The subway is a fast, large-capacity, electric-driven rail transit built in the city. The advantages of the subway provide conditions for the mitigation of urban traffic, due to the large number of cars, traffic jams, frequent accidents, and serious environmental pollution. In the city center, there are more cars and less space, and the parking lot is not commensurate with the number of cars, making parking difficult. This paper aims to study the intelligent performance evaluation of urban subway PPP projects based on deep neural network models. The subway project has a large investment, a long period, and a wide range, but the development time of the subway in China is relatively short. In order to promote the stable progress of subway projects, it is very necessary to conduct intelligent performance evaluation on subway projects. This paper compares and analyzes the basic characteristics of the PPP model and verifies the applicability and necessity of the PPP model in urban subway transportation projects. Through the investigation of relevant literature, this article puts forward the research content of the social impact assessment of subway projects. The experimental results of this paper show that, from the perspective of whether it is necessary to evaluate the performance of PPP projects, 65% of people think it is very necessary, and 22% think it is more necessary. 3% of people think it is unnecessary, and 10% of people hold an indifferent attitude. These data show that the intelligent performance evaluation of urban subway PPP projects has exploratory significance for urban infrastructure design and construction.

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Section: Intelligent Performance Evaluation Methods Of Urban Subway P...mentioning

confidence: 99%

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Fan

Jiang

Chen

et al. 2022

Computational Intelligence and Neuroscience

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“…To achieve sustainable development, many business organizations around the world are trying to become socially responsive organizations. Business organizations are trying to incorporate CSRMS within their existing IMS practices (Rybski et al , 2017; Sadegh Amalnick and Zarrin, 2017; Santos et al , 2018). A vast research has been conducted to identify the benefits of CSRMS in an isolated fashion.…”

Section: Literature Reviewmentioning

confidence: 99%

The linkage between corporate social responsibility and the main benefits obtained from the integration of multiple management systems in Bangladesh

Talapatra

Uddin

Doiro

et al. 2022

SRJ

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Purpose The aim of this study is to investigate the perceived benefits offered by integrated management system (IMS) in the readymade garments (RMG) sector in Bangladesh and the respective linkage with corporate social responsibility (CSR) to promote sustainable development. This study presents a list of IMS benefits composed of different international management standards according to ISO 9001:2015, ISO 14001:2015, OSHAS 18001: 2007 and SA 8000:2014. Design/methodology/approach To identify the possible benefits of IMS, a systematic literature review was conducted from 2009 to 2019, namely, in the database of Elsevier, Emerald and John Wiley. A questionnaire survey was developed with the purpose of examining the perceived main benefits of IMS. The questionnaire was e-mailed to 355 representatives of 15 RMG sectors in Bangladesh. A total of 256 complete and useable responses were received, constituting the base of this work. Subsequently, statistical analysis was conducted using SPSS 20 software. Findings The main findings of the present study show that the most important five benefits of IMS in RMG sector in Bangladesh are better capacity to achieve organization’s objectives, optimum use of various resources, business sustainability, synergies of different management policies and reduction of duplication efforts. Practical implications Two major limitations of the study are as follows: first, it is not a longitudinal study; second, IMS benefits were examined in the national sector context. The present study has both theoretical and practical implications. The study presents a comprehensive list of IMS benefits that contribute to the existing literature from a theoretical point of view. On the other hand and from a practical point of view, this study encourages managers to implement IMS in their organizations. Originality/value This study helps in understanding the contribution of IMS benefits to cleaner production and CSR in Bangladesh. The focus on the benefits of IMS in the RMG sector in Bangladesh is another significant aspect of this study because it promotes the development of environmental policies linked to CSR with stakeholder engagement, as a driver to sustainable development.

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“…In another research, the EFQM excellence model and data envelopment analysis were combined for assessing police services operation [25]. Sadegh Amalnick and Zarrin [26] used EFQM excellence model criteria for assessing man power resources in an Iran airline company. In this research, an integrated model has been proposed based on the methods of ANFIS, fuzzy DEA, and statistical tests for assessing the organization efficiency on the basis of EFQM excellence model.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, in these research studies, the common data envelopment analysis has been used as an aiding method for the EFQM excellence model and network data envelopment analysis method has not been used in this field of research to the present. Also, except Sadegh Amalnick and Zarrin [26] research, in none of the research studies, fuzzy concept or other strategies for modeling noncertainties were used for observing the existing noncertainties in EFQM excellence model criteria as well. In this research, a network data envelopment analysis model in fuzzy conditions has not been developed based on the EFQM model for assessing the organization operation.…”

Section: Introductionmentioning

confidence: 99%

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

Khosravi

Fallah

Najafi

2021

Journal of Mathematics

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One of the new concepts that have found a considerable position in many countries of the world is organizing EFQM organizational excellence models. Different organizations and institutions have been evaluated and compared on its basis, and the move towards improvement and promotion is strengthened in them due to creation of competitive space. The EFQM organizational excellence model cannot remove the managers’ and users’ need for the levels of quantitative goals’ operation solely. Thus, requirement for a tool which considers quantitative goals and present environment was felt, and in this manner, various assessment processes were created to be used in different organizations; one of the most important ones is the technique for Data Envelopment Analysis. Evaluating organization efficiency based on the EFQM model is one of the strategic managerial tools in many organizations. The classic DEA models were designed to work with deterministic data and cannot deal with uncertainties in their inputs. The techniques developed so far for fuzzy performance evaluation are also very limited. Given that the inputs and outputs of a real system are not always definite and accurate and that some data can only be expressed in vague verbal and subjective terms, the use of fuzzy sets in modeling is inevitable (Ali et al., 2019). In this paper, a Network Data Envelopment Analysis Model is proposed in fuzzy conditions for assessing units of an organization based on an organizational excellence model. The suggestive model utilizes the privileges of both Fuzzy Network Data Envelopment Analysis and EFQM organizational excellence models simultaneously in order to assess organization’s efficiency. The Fuzzy Network Data Envelopment Analysis model is able to calculate the whole organization’s efficiency as well as organization’s efficiency separately for various phases of the organizational excellence model. Another privilege of the suggested model is that it utilizes fuzzy theory and concepts for modeling and observance of existing noncertainties in the experts’ views while assessing organization’s excellence criteria. The EFQM-fuzzy network DEA model is applied for assessing a holding’s organizational units within the discipline of “project management.”

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Performance assessment of human resource by integration of HSE and ergonomics and EFQM management system

Cited by 13 publications

References 19 publications

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

The linkage between corporate social responsibility and the main benefits obtained from the integration of multiple management systems in Bangladesh

An EFQM-Fuzzy Network Data Envelopment Analysis Model for Efficiency Assessment in Organizations

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