Labor and assets optimization in the context of increasing the international information company efficiency

Сазонець, Ольга Миколаївна; Los, Z; Perevozova, Iryna; Samoilov, P; Zhadanova, Yu

doi:10.33271/nvngu/2020-6/155

Cited by 5 publications

(4 citation statements)

References 13 publications

(19 reference statements)

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“…Thus, various scholars have different ways of ascertaining the instrument for measuring organizational performance [14][15][16][17][18]. Scholars of accounting, economics, and finance focus on existing financial records of formal organizations or institutional statistics such as sales volume, return on equity, return on assets, and profit margin [19][20][21][22][23]. On the other hand, those in human resource management, business management, psychology, sociology, and anthropology pay attention to the human aspects of performance, such as customer satisfaction, customer retention, discretionary behaviour, service delivery, repurchase intention, effectiveness, and efficiency [24][25][26].…”

Section: Impression Management and Employee Contextual Performance Inmentioning

confidence: 99%

Impression Management and Employee Contextual Performance in Service Organizations (Enterprises)

Ніценко

Zayed²,

Darwish³

et al. 2023

Emerg Sci J

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This study aims to investigate the effect of impression management on employee contextual performance in service organizations using quantitative methods. The social influence theory, which explains the role of superior influence over the subordinate, served as the theoretical underpinning for the study. A cross-sectional survey design was adopted in line with positivism research philosophy. The accessible population of this study consists of one hundred selected service-oriented firms (four-star hotels, fast food restaurants, and travel agencies) operating in the southern part of Nigeria. The sample consists of middle managers, human resource managers, front desk officers, housekeepers, and customer relationship managers. Frequency distribution was used to analyze participants’ profiles, while linear regression was employed to analyze the formulated hypotheses. Statistical Package for the Social Sciences (SPSS) 20.0 served as statistical software. Linear regression results suggest that self-promotion exerted a significant positive effect on co-worker support. Ingratiation demonstrated a significant positive effect on customer satisfaction. It appears that exemplification exerted a significant positive effect on enterprise compliance. The outcome of this study has demonstrated that traditional managerial skills can no longer hold water in contemporary service-oriented organizations because of the workplace's dynamic and changing technological structure. This study concludes that impression management can assist managers in influencing their employees positively to achieve organizational objectives. Doi: 10.28991/ESJ-2023-07-02-05 Full Text: PDF

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Section: Impression Management and Employee Contextual Performance Inmentioning

confidence: 99%

Impression Management and Employee Contextual Performance in Service Organizations (Enterprises)

Ніценко

Zayed²,

Darwish³

et al. 2023

Emerg Sci J

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“…To solve multidimensional problems, including the assessment of the level of competitiveness of enterprises, neural network modelling methods are often used (Honcharuk, 2020;Yasynska, and Ivchenkova, 2019;Yankovyi et al, 2019;Sazonets et al, 2020). According to the research of scientists (Soloviov, 2016), the method of neural network modelling allows for the creation of models of various architectures for forecasting performance indicators of agricultural production management at different levels of management.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling of the Synthetic Indicator of Competitiveness of Agricultural Enterprises: A Methodological Approach to the Use of Neural Network Tools

Chikov,

Khaietska,

Yuliia

et al. 2023

ФКДПТП

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The article is devoted to the development of a methodical approach to modelling a synthetic indicator of the competitiveness of agricultural enterprises using the tools of neural networks.The authors used general scientific and special research methods, such as monographic, logical-theoretical, statistical and economic-mathematical, visualization, system analysis, taxonomy and neural network modelling, generalization, logical abstraction and conclusion generation. The study was based on materials from the State Statistics Service of Ukraine, scientific developments of foreign and domestic scientists on the defined topic, and financial statements of the agricultural enterprises of Vinnytsia region LLC «Ahrokompleks «Zelena dolyna», PJSC «Dashkivtsi», LLC «Selyshchanske», PE «Dary sadiv», PE «Fortuna» the main type of economic activity of which according to Classification of economic activities 01.11 – cultivation of cereals (except rice), legumes and oilseeds. The article develops and presents a non-classical approach to the assessment of the competitiveness of agricultural enterprises has been developed, which is based on the principles of neural network modelling. It allows to obtain a well-founded quantitative indicator, which can be easily interpreted into a linguistic evaluation on a three-level scale of competitiveness and used for comparison, monitoring and making sound decisions on improving the competitiveness of agricultural enterprises.The non-classical approach complements traditional methods of competitiveness assessment, expanding their capabilities and eliminating certain limitations. The use of neural network modelling in competitiveness assessment allows to take into account complex and non-linear relationships between different factors and indicators, which contributes to an increase in the objectivity and accuracy of competitiveness assessment, which in turn allows enterprises to make better decisions and improve their strategies to achieve success in the market.The results of the study can be used to support strategic decision-making in the agricultural sector, identify priority development directions, and improve the competitive strategies of enterprises and the functioning of business processes.

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“…For example, let's take the crisis of the industry due to the pandemic as a base situation for analysis. The pandemic caused a significant number of port workers to be absent from their workplaces, which led to delays in cargo handling, port congestion, a decrease in the value of the criterion "Index Port calls for all ships" and an increase in the value of the criterion "Average waiting time for all ships" (Sazonets et al 2020;Kubalskyi, 2022).…”

Section: Fig 1 Consolidation In the Container Transportation Marketmentioning

confidence: 99%

Criterion for Ensuring the Effectiveness of the Management of the Global Maritime Industry

Sienko,

Babachenko,

Chesnokova

et al. 2023

ees

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Introduction. The significant dynamic nature of modern geopolitical and military threats sets new requirements for evaluating the criteria effectiveness of solving maritime industry management problems, requires new methodological approaches and mathematical models for evaluating criteria, and determines a new architecture of information systems in the structure of which these approaches and models are implemented. This makes the issue of the analysis of the application of criteria and the development, research, and implementation of such models and systems extremely relevant. Aim and tasks. The purpose of the study is to create a methodological approach to evaluating the criteria that characterize the effectiveness of the management of the maritime industry, with the dynamic change of criteria due to the influence of threats and challenges. Results. A methodological approach has been developed to evaluate the criteria that characterize the effectiveness of the management of the maritime industry based on the model for assessing the convergence of the absolute values of the first derivatives of the criteria over time, which, at short time intervals, can be considered as criteria change trends. It has been established that instead of reducing transportation costs, management switches to the principle of ensuring optimal costs, which leads to an increase in the cost of freight and shock reactions in the sea transportation market. It was established that it is advisable to use the LSCI criterion as an indicator of the negative effect of “local optimization”. After determining the development trends of the criteria, their evaluation as well as the assessment of their convergence were carried out, which became the basis for proposing directions for improving the efficiency of maritime industry management. Conclusions. The developed methodological approach and the mathematical model of its implementation make it possible to conduct both quantitative and qualitative analyses of the effectiveness of management of the maritime industry. To increase the efficiency of management, it is proposed: to integrate port community systems; to increase the stability of the port infrastructure so that it can function in crisis conditions; to achieve coordination of management actions at all levels; to avoid “local optimization” and introduce integral optimization; to respond not only to direct threats but also to detect the cascading effects of threats.

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Labor and assets optimization in the context of increasing the international information company efficiency

Cited by 5 publications

References 13 publications

Impression Management and Employee Contextual Performance in Service Organizations (Enterprises)

Impression Management and Employee Contextual Performance in Service Organizations (Enterprises)

Modeling of the Synthetic Indicator of Competitiveness of Agricultural Enterprises: A Methodological Approach to the Use of Neural Network Tools

Criterion for Ensuring the Effectiveness of the Management of the Global Maritime Industry

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