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  THE IMPACT OF REVIEW AND RATING ON CUSTOMER EXPERIENCE IN ELECTRONIC MARKETPLACES

  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 ... 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.

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  FORMATION OF THE POST-PANDEMIC BUSINESS ENVIRONMENT IN GEORGIA: CHALLENGES AND PREDICTIONS

  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 ... 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.

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  METADATA MANAGEMENT FRAMEWORK FOR BUSINESS INTELLIGENCE DRIVEN DATA LAKES

  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 (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.