An exploration of research clusters of sustainable human resource management

The article examines the competitiveness of Ukrainian banks influenced by economy digitalization, the dynamic spread of electronic payments and e-commerce, as well as innovative technologies aimed at providing digital services. When shifting to an Online Platform business model, a bank can expand its range of banking products, attract more customers, thereby forming a competition policy and gaining competitive advantages. The paper aims to assess the digitalization level affecting the general competitiveness of banks and its components based on Ukrainian banks. For this purpose, the following methods were used: standardized input statistical indicators, comparison and ranking, a cluster analysis, and a regression and correlation analysis. The cluster analysis confirmed the current role of digitalization as a competition driver that determines the competitive advantages of banks and creates additional opportunities to expand the customer base and the range of services. The correlation and regression dependence of the competitive position identified by the activity indicators of certain banks on the level of competitive digitalization confirmed a close direct impact on the competitive position of personal deposits arising from the development of digital banking technology; the pre-tax income, profiles of assets and personal loans, and corporate deposits are subject to a significant direct impact, while the weakest direct impact determines corporate loans. The foregoing substantiates the feasibility of large-scale introduction of innovative digital technologies by banks to maintain competitive positions in the banking sector of the economy. Applying the proposed approach based on certain regression equations, managers of Ukrainian banks will be able to assess the efficiency and make appropriate decisions concerning investing in digital tools and services.

Sustainability and green practices are in the frontline of issues organizations globally are concerned about because of the consequences of climate change and its challenges. The objective and key question of this study was to determine whether there is a relationship between knowledge of green human resource management (HRM) practices and its implementation within the organizations. The study followed a methodology of triangulated empirical research approach with a combined method of qualitative and quantitative research approaches. Human resource practitioners from human resource divisions in higher education institutions in KwaZulu-Natal, South Africa, formed the population surveyed. Interview schedule and questionnaires were instruments used in data collection. Thematic analysis was used to analyze data collected from interviews. Statistical Package for Social Sciences (SPSS) version 24 was used to analyze quantitative data collected. About half of HR practitioners indicated minimal awareness of the concept ‘green HRM’, but reflected moderate knowledge and understanding of green HRM activities. Overall, the findings revealed a moderate application of green HRM principles in HRM activities in the institutions. There was no policy framework in the form of green HRM policies to drive green activities within the HR divisions and institutionally. Findings also revealed that there is a relationship between knowledge of green HRM activities and its implementation within the organization. Also, a strong correlation was found to exist between green HRM policies and implementation of green HRM activities in the organization. This then led the researcher to recommend that organizations who aspire to go green, be resource efficient and sustainable will need to have green HRM policies in place, they will also need to ensure that training and awareness workshops on green HRM are conducted to skill and equip all stakeholders involved.

Modern economy is characterized by rapid qualitative and quantitative changes that significantly affect the nature of economic, socio-economic and social relations. Innovative processes and trends are very specific manifestations, which are reflected in the economic and marketing theory. A greater place in science and practice is occupied by the concepts of new economy, knowledge economy, knowledge society. Therefore, the study of knowledge economy marketing becomes more and more relevant.
The paper is aimed to develop a technique for selection of the key parameters for building the model of national knowledge economy marketing.
For this purpose, it is proposed to conduct a cluster analysis based on aggregated data. Classification of differences between clusters is given. As a result of classification, the authors have identified a group of indicators, which make all clusters distinctive and, first and foremost, determine positions of countries in the global landscape. These indicators are interpreted as key factors of the knowledge economy.
Based on the suggested mathematical functions, the authors assessed the value of every key factor within the selected group. It became the second step in selecting the parameters to build a multifactor model of knowledge economy marketing at the national level. The paper also justifies that it is reasonable to use cognitive approach to address challenges in the sphere under consideration. This approach is able to become a sound basis for building the model of national knowledge economy marketing in the form of cognitive map.