Year 2024, Issue 2

Date published

7.6.2024

CONTENTS

  • Canh Chi Hoang, Bui Thanh Khoa
    THE IMPACT OF REVIEW AND RATING ON CUSTOMER EXPERIENCE IN ELECTRONIC MARKETPLACES
    Abstract: With the proliferation of e-commerce, online marketplaces have become a dominant platform for consumer purchases. However, the factors driving positive customer experiences in these digital environments remain underexplored. This... With the proliferation of e-commerce, online marketplaces have become a dominant platform for consumer purchases. However, the factors driving positive customer experiences in these digital environments remain underexplored. This quantitative study investigates how online reviews and ratings influence customer experience in e-marketplaces. A survey was administered to 389 consumers who had made purchases on e-marketplaces in the past six months. Grounded in literature on online consumer behavior, the survey measured relationships between review quantity, review consistency, reviewer expertise, product/service ratings, and customer experience. The results reveal significantly positive impacts of review quantity, consistency, expertise, and ratings on customer experience. As consumers increasingly rely on peer-generated content for purchase decisions, these findings highlight the need for e-marketplace operators to optimize review and rating systems. By empirically demonstrating how online reviews shape the customer experience, this research provides timely insights for platforms, marketers, and policymakers aiming to improve customer satisfaction and loyalty in digital marketplaces. The study contributes to advancing academic understanding of how user-generated content and marketplace design elements interact to drive positive consumer outcomes.
  • Snezhana Sulova, Olga Marinova
    METADATA MANAGEMENT FRAMEWORK FOR BUSINESS INTELLIGENCE DRIVEN DATA LAKES
    JEL: C8.
    Abstract: Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective... Data lakes (DL) provide powerful capabilities for processing and utilizing large and diverse data, helping organizations adapt to the modern environment and extract maximum value from the information at their disposal. Effective data analysis provides actionable knowledge which is a competitive advantage for organizations. Metadata management in data lakes is a key element in ensuring their full functionality. At the same time, this is a dynamic and under-researched area that reflects the rapid development of information technology and the business needs for effective data management. The research is based on a thorough scientific analysis of existing publications on the chosen topic. For this purpose, up-to-date and relevant open access publications from Scopus and Web of Science that correspond to the keywords "data lake" and "metadata" are identified and are from the last 15 years. Based on a review of the existing literature, the main challenges in data lake metadata management are highlighted. The goal of the research is to summarize the existing models in the field of metadata management in data lakes and to propose a new conceptual framework that can serve as a useful guide for designing and implementing metadata management models in heterogeneous data warehouses, as well as implementation steps. The concept's adoption involves a detailed study of the data management model in a specific organization, a measurement of the level of effectiveness after the model’s implementation, and the use of additional metrics to confirm its feasibility. These tasks are therefore the subject of future research. Another limitation of the proposed framework is that it does not address in depth the rules and standards related to ensuring data security, which would be of the highest priority especially in sectors such as finance, defence and healthcare. In addition, further research could also focus on future analysis of the level of satisfaction with the transformation of metadata management processes.
  • Nataliya Marinova
    ADVANTAGES AND ETHICAL CONSIDERATIONS OF INDUSTRIAL IOT ARTIFICIAL INTELLIGENCE SOLUTIONS USAGE
    Abstract: The objective of this paper is to research the synergistic interaction between Industrial Internet of Things (IIoT) and the application of Artificial Intelligence (AI) in IIoT ecosystems (AIoT). For achieving this purpose, a method... The objective of this paper is to research the synergistic interaction between Industrial Internet of Things (IIoT) and the application of Artificial Intelligence (AI) in IIoT ecosystems (AIoT). For achieving this purpose, a method of integrative study of leading scientific publications on the topics ‘Industrial Internet of Things’ and ‘Artificial Internet of Things’ and the PRIZMA flow chart for filtering the list of found documents are applied. The inability of full coverage of the AIoT topic in one article has necessitated the usage of an approach for its content analysis in several thematic groups. The IIoT and AIoT concepts has been explored by various theoretical and practical aspects in many scientific papers published mainly over the past five years, but continues to arouse the interest of researchers. The novelty of the manuscript could be viewed in the attempts of systematizing the key characteristics, advantages, and risks in the practical use of these technologies in the form of smart manufacturing machines, robotic devices, autonomous vehicles, and software for predictive maintenance, and in outlining the possibility for green and sustainable AIoT platforms creation. It is concluded that a key requirement for the implementation of AIoT solutions is the consideration of the various threats and ethical aspects of their design, which contributes to the correct definition of the ‘social value’ of such business initiatives.
  • Giorgi Katamadze, Mariana Petrova, Natela Tsiklashvili
    FORMATION OF THE POST-PANDEMIC BUSINESS ENVIRONMENT IN GEORGIA: CHALLENGES AND PREDICTIONS
    Abstract: The COVID 19 pandemic has transformed the entire world's strategy. The governmental oversight, fundamental and significant views were renewed and prioritized according to the unpredictable pandemic process and force-majeure demand.... The COVID 19 pandemic has transformed the entire world's strategy. The governmental oversight, fundamental and significant views were renewed and prioritized according to the unpredictable pandemic process and force-majeure demand. The world's governments and private sectors have faced new socio-political and economic problems and challenges that require quick, effective and powerful solutions. The nation's economic viability during the pandemic and post-pandemic periods depended on these decisions and their effectiveness. Monetary, fiscal, and financial policies suffered significant difficulties in maintaining the economic system. Covid 19 has created difficulties in predicting economic sequences alongside social problems and the complete lack of economic precision in all segments has caused macroeconomic uncertainty. This paper deals with the microeconomic analysis of Georgia in the post-pandemic period, discussing both the main economic parameters of the country and its dynamics, as well as the analysis of its impact on the microeconomic situation. The paper analyzes the impact of the pandemic on the main sectors, as well as the decisions made by the state for economic stimulation and its effect. The work is mainly based on the official information of state structures and international organizations, as well as the works of Georgian and foreign scientists, and based on them, a coherent, multi-component analysis is presented. The theoretical framework of the article is based on fundamental, conceptual studies of Georgian and foreign authors in the field of our research. The paper presents conclusions and recommendations based on a complex study of macroeconomic factors, which are important for scientific circles, both the state and the private sector.
  • Olha Mulska, Taras Vasyltsiv, Ruslan Lupak, Iryna Biletska, Oleh Mykytyn
    MEASURES TO BALANCE THE LABOUR MARKET: AN INSTITUTIONAL PARTNERSHIP BETWEEN BUSINESS AND THE VOCATIONAL TRAINING SYSTEM
    Abstract: The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the... The study aims to identify imbalances, obstacles and opportunities for realizing the capacity of institutional partnership between employers and vocational education institutions (the case of Lviv region in Ukraine) to balance the labour market. The study is based on the general scientific methods of research – analysis, synthesis, logical generalization and decomposition, as well as special methods – sociological survey and the method of weighted harmonic mean. The methodological tools of the sociological survey include a three-part questionnaire aimed at identifying business needs for workers and business willingness to employ graduates of vocational education institutions (VEIs), as well as substantiating the opportunities for cooperation between VEIs. The study shows that there is a significant shortage of workers in the region (especially locksmiths, construction workers, turners, electricians, etc.) in such economic sectors as water supply, sewerage and waste management, agriculture, forestry and fishing, mining and processing industry, service sector, etc. The authors reveal a low level of cooperation between VEIs and businesses or that of a purely formal nature, which affects the extent to which enterprises are staffed by workers. They also identify a significant need for coordination between businesses and VEIs to meet the demand for workers and the specific occupational and qualification characteristics of graduates. The study reveals the main obstacles to the spread of dual education and substantiates promising areas for its modernization.
  • Simona Cincalova, Leo Mataruka, Kamila Masarova, Joe Muzurura
    DRIVING PROFITABILITY THROUGH SOCIAL RESPONSIBILITY: UNVEILING THE SUCCESS STORY OF AUTOMOTIVE PLANT STELLANTIS SLOVAKIA
    JEL: G3, M14.
    Abstract: This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) in Slovakia's unique context of the Stellantis automobile plant. Driven by the growing focus on mitigating... This study examines the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) in Slovakia's unique context of the Stellantis automobile plant. Driven by the growing focus on mitigating business impacts and delivering value to stakeholders, the research explores CSR as a strategic tool to enhance competitiveness. The analysis utilises Stellantis Slovakia's financial reports from 2017 to 2021, incorporating horizontal and vertical analysis of assets. A questionnaire has also been administered to gauge employee perception of the company's CSR initiatives. The survey findings reveal a positive correlation between stakeholder engagement and CSR. Stellantis Slovakia's car plant showcases a commendable CSR commitment, with the potential to set more precise, measurable objectives to drive sustainability efforts. The company's robust financial performance, characterised by significant net profit growth, is in line with industry trends, suggesting that CSR-oriented firms enjoy enhanced CFP. The survey underscores the highly positive employee perception of CSR, related to moral commitment, thereby supporting previous research on CSR-driven employee engagement and productivity. This study deepens our understanding of CSR's impact on financial performance, offering practical recommendations for Stellantis Slovakia. Integrating CSR can improve the company's image, enhance employee motivation, reduce costs and drive revenue growth, thereby highlighting the strategic value of socially responsible practices and encouraging optimism about the potential benefits of these practices.