Efficiency of human resources at national and multinational companies

Gherman, Remus; Adamescu, Bogdan; Brad, Ioan; Dincu, Ana-Mariana

doi:10.1016/j.jbiotec.2016.05.314

Cited by 5 publications

(2 citation statements)

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“…Schuler proposed an evaluation method for analyzing the benefit contribution of human resource management to organizations. is process should be carried out from two aspects: the evaluation of humancentered results and the evaluation of organization-centered results [3]. Since then, researchers have tried to build a more effective efficiency of human resource management evaluation system.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network

Liu

et al. 2022

Security and Communication Networks

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The success of human resource management is directly related to whether enterprises can stand in the fierce market competition. In the actual operation of enterprises, the human resource management faces various risks. Here, we take the human resource management evaluation standard as the research object and establish the human resource management benefit evaluation model through a SOM neural network. The training, studying, and testing processes of the model are performed. Besides, the human resource management evaluation system is built on the basis of this model. The evaluation research on the efficiency of human resource management has a good influence in many aspects. Researchers have tried to decipher the “black box” relationship between human resource management and organizational benefits, and an effective human resource management evaluation tool is obtained. This model involves both theoretical construction and empirical research. It is of great significance to summarize the progress and existing problems of current research and abroad and put forward some suggestions for future research.

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Section: Introductionmentioning

confidence: 99%

Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network

Liu

et al. 2022

Security and Communication Networks

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“…The patterns of sustainable development and the elements that impacted the process during the last years highlighted that regions and cities are the keys for national growth [42]. Romania is registering regional disparities regarding economic, social, and territorial cohesion [43,44], foreign direct investments [45,46], development [47], GDP [48], productivity and employment [49], share of research and development [50,51], economic, ecological, and social development [52,53]. Considering the probability of performing a sustainable development, the Romanian counties are heterogeneous, being grouped in 4 classes [54], some counties having the necessary characteristics in order to be taken in consideration when choosing the core county of each new region [55].…”

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confidence: 99%

Romania’s South-Muntenia Region, towards Sustainable Regional Development. Implications for Regional Development Strategies

et al. 2020

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Currently, at the end of the programming period 2014–2020 and in the view of the new programming exercise, 2021–2027, knowing where South-Muntenia is positioned on the path to sustainable regional development and how the main determinants can be integrated in regional development policies in order to continuously support the development of the Romanian regions becomes even more important. In this context, the paper aims to evaluate the progress made by the South-Muntenia region towards sustainable regional development for the period 2010–2017 highlighting the main implications for regional development strategies and revealing local initiatives promoting broader sustainable regional development. Thus, more in depth, the paper aims to identify the main determinants of sustainable regional development at the level of South-Muntenia counties using multiple principal component analysis (MPCA), to build an advancement sustainable development index based on panel data for the period 2010–2017 and to reveal the main sustainable development poles at the county level for the year 2017 using hierarchical clustering technique. The empirical results revealed the importance of business environment, public services infrastructure, education, and social protection as main determinants of South-Muntenia sustainable regional development. The advancement composite index pointed out that South-Muntenia recorded a slow but continuous advancement in terms of sustainable regional development, almost doubling its performance in these seven years. At the county level, if Prahova, Argeș, and Dâmbovița exhibited a so-called stagnation, Ialomița and Teleorman were still behind, registering an advancement over the period but remained only halfway on the path to sustainable development, while Calarasi and Giurgiu tried to recover the huge gap, registering very low rates of sustainable development index. On the path to regional economic development, the relevance of two main sustainable regional development drivers can be highlighted—a better allocation for active measures with the reduction of unemployment as a target together with a better infrastructure of public services. National, regional, and local administrations play an important role in promoting sustainability in the economic, social, and environmental activities, in a coherent manner. Regardless of the level at which development policies are designed, local, county, or regional, they must take into account and monitor the sustainable development determinants if the ultimate goal is the overall regional development of South-Muntenia.

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[Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model

Ding

Han

2022

Discrete Dynamics in Nature and Society

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This review proposes a performance evaluation system of low-carbon economic development based on multiobjective analysis in low-carbon environment. This is a modeling method combining super efficiency and relaxation-based measurement model (super-SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low-carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low-carbon industry, and the correlation between the prediction model and the performance change of low-carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low-carbon economy in the economic zone.

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Efficiency of human resources at national and multinational companies

Cited by 5 publications

References 0 publications

Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network

Analysis of Efficiency of Human Resource Management Evaluation Model Based on SOM Neural Network

Romania’s South-Muntenia Region, towards Sustainable Regional Development. Implications for Regional Development Strategies

[Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model

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