Correction to: The concept of the qualitology and grey system theory application in marketing information quality cognition and assessment

Majchrzak, Joanna; Golińśki, Marek; Mantura, Władysław

doi:10.1007/s10100-020-00700-x

Cited by 3 publications

(3 citation statements)

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“…After years of development, the human resource service industry has become a supporting industry in the service industry, and its development scale is large; Majchrzak et al concluded from statistics that in the United States, outsourcing services account for more than one-half of the service industry; in addition, personnel outsourcing services account for the largest proportion of outsourcing services; and according to statistics, personnel services account for 10% of outsourcing services [7]. According to Mathematics -Grey System eory, the growth trend of HR service outsourcing in the U.S. is obvious in recent years, with an average annual growth rate of about 9%, and through the analysis of the growth trend in recent years, they predict that the future demand for HR services is still on the rise [8].…”

Section: State Of the Artmentioning

confidence: 99%

A Grey Prediction Algorithm for Enterprise Human Resource Management Validity Model Construction and Improvement

Yang

2022

Security and Communication Networks

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With the deepening development of economic globalization and world economic integration, all enterprises are faced with an increasingly complex and competitive living environment. Therefore, it is particularly important to formulate a human resource strategy suitable for the enterprise’s own development to cope with the external challenges and external competition of the enterprise. However, in the current management practice of state-owned enterprises including power supply enterprises in our country, it is rare to make strategic decisions on human resources by applying scientific, effective, and complete mathematical models. Taking construction enterprises as an example, this study combines human resource management, enterprise management, project management, comprehensive evaluation, and grey system and other theories to systematically study the effect of human resource management in enterprises, and finally constructs a suitable evaluation method for construction enterprises, and an assessment model for diagnosing its human resource management status. We provide practical guidance for the management of human resources in construction enterprises, which is conducive to human resource workers to discover existing problems in time and make improvements, give full play to the potential of human resources, and improve the level of human resource management and the value of enterprises.

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Section: State Of the Artmentioning

confidence: 99%

A Grey Prediction Algorithm for Enterprise Human Resource Management Validity Model Construction and Improvement

Yang

2022

Security and Communication Networks

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“…For example, some scholars believe that local governments should be the first to achieve the transfer and coordination of monitoring information among relevant departments in the prevention and control of WP, especially in the prevention and control of WP in river basins, and that the unification of WP monitoring information among various departments determines the merits of pollution control programmes. Government departments should hold regular joint meetings to exchange regulatory information, strengthen the comprehensive research and analysis of all regulatory information, and improve the level of global and local relations, especially in the allocation of regional resources, all of which are fundamental to decision-making for WP prevention and control [3][4]. Through research and empirical analysis of WP risk management theory, some scholars have concluded that WP risk management should be predicted before a pollution event occurs, so that a potentially large crisis incident can be transformed into a low-risk incident and long-term management of WP can be achieved, thus defusing the WP crisis [5].…”

Section: Introductionmentioning

confidence: 99%

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

2023

WPPCP

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With the acceleration of economic development, the problem of water pollution (WP) has also become a problem for many countries around the world. In the process of development, many countries have experienced serious WP phenomena, which have had a very serious impact on the ecological environment. The main reason why people attach importance to the problem of WP is that water is indispensable for the development of society and the survival of human beings, and if serious WP problems occur, people's water safety will not be guaranteed. Based on the grey BP neural network (BPNN) model, this paper predicts the pollution emissions in 2023 for the industrial and livestock pollution emission coefficient of M city from 2016 to 2020. The results show that the combination of grey system theory and BPNN can effectively predict the WP emissions. Through analyzing the WP prevention and control problems in M city, this paper puts forward prevention and control strategies, hoping that this study can also provide reference and suggestions for WP control in other cities.

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“…Квалітологія -наука про якість, заснована на системі взаємопов'язаних наукових принципів теорії управління якістю, кваліметрії і метрології (Зубрецкая, 2015). Її витоки можна знайти у філософських ученнях: онтології, що описує спосіб існування і структуру реальності; епістемології, що стосується змісту, меж, методів та об'єктів людського пізнання; аксіології -ученні про цінність (Majchrzak et al, 2020). Оцінювання якості нині розуміється і здійснюється щодо товарів, послуг, даних, виробничих процесів і виробництва загалом (Juran, 1998).…”

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Geoecological Maps Quality Assurance at the Stages of Creation and Use

Liashenko¹,

Tsiupa²,

Babiy³

et al. 2022

VKNUGEOL

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A geoecological maps quality assurance scheme during the map life cycle has been developed. The main methodological tools of research are conceptual modeling and the method of expert assessments. The work traces approaches to the formation of map quality concepts and their evaluation: utilitarianism, consequentialism, welfareism, the principle of ecological value. The importance of ensuring the quality of geoecological maps at all stages of the product's life cycle has been given. The main methodological technique is the developed algorithmic model. The approaches, algorithm and groups of criteria for the quality of geoecological maps researching are defined: the internal quality of map data (from the producer's point of view), indicators of the external quality of maps (from the consumer's point of view), in particular technological, consumer criteria, scientific and social value of maps. In the course of experimental studies, a methodology for evaluating a number of consumer characteristics of geoecological maps was proposed. The expert analysis of the factors affecting the assessment of maps quality has been conducted. The hierarchy of the factor importance is built in the following sequence: effective color use, sufficient contrast of the image, composition (size and placement of map elements), text on a map. The work formulates features of ensuring the quality of geoecological maps during their creation and increasing the efficiency of their use. Prospects for the further assurance development lie in the deepening of the integral theory of the assessment of the quality of maps focused on the application of a propositional scheme for the assessment of various groups of maps.

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Correction to: The concept of the qualitology and grey system theory application in marketing information quality cognition and assessment

Abstract: Unfortunately, the first name and family name of the author group have been incorrectly placed in the original publication. The complete correct names of author group should read as follows.

Cited by 3 publications

References 0 publications

A Grey Prediction Algorithm for Enterprise Human Resource Management Validity Model Construction and Improvement

A Grey Prediction Algorithm for Enterprise Human Resource Management Validity Model Construction and Improvement

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

Geoecological Maps Quality Assurance at the Stages of Creation and Use

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