Year 2025, Issue 2

Date published

26.6.2025

CONTENTS

  • Rashid Al Kaitoob, Emil Papazov, Lyudmila Mihaylova
    BUSINESS DEVELOPMENT OF DUBAI COMPANIES: A SYNTHESIZED FACTOR-ACTIVITY ANALYSIS
    JEL: M21, L1
    Abstract: Throughout the years, the notion of business development has been utilized in different dimensions. This study re-evaluates the concept via the perspective of strategic management. A synopsis of the correlation between developmental... Throughout the years, the notion of business development has been utilized in different dimensions. This study re-evaluates the concept via the perspective of strategic management. A synopsis of the correlation between developmental trajectory and strategic organizational change is presented. The focus is on developmental initiatives that substantially impact firm success. As known, developments are influenced by different envirnomental factors. The article examines the correlation between chosen prerequisites and particular actions inherent to business development. The objective is to ascertain the existence of relationships and evaluate their strength and importance through the examination of statistical hypotheses. This will establish improved prerequisites for formulating a robust corporate development strategy. The generalizations and conclusions are based on data and information gathered via a survey in the Emirate of Dubai, United Arab Emirates. The territorial concentration of the study is due to its compactness, development potential and stated local research interest.
  • Dinko Herman Boikanyo
    ETHICAL CONSIDERATIONS AND SOCIETAL IMPACTS OF AI ADOPTION IN SMEs WITHIN EMERGING MARKETS
    Abstract: This paper examines the ethical considerations and societal implications of AI adoption by small and medium enterprises (SMEs) in emerging markets. Drawing on Stakeholder Theory, Diffusion of Innovation, and the... This paper examines the ethical considerations and societal implications of AI adoption by small and medium enterprises (SMEs) in emerging markets. Drawing on Stakeholder Theory, Diffusion of Innovation, and the Technology-Organization-Environment framework, it proposes a comprehensive conceptual model that places ethical principles, fairness, accountability, and inclusivity at its core. The discussion highlights the complex interplay of technological, organizational and societal dimensions, illustrating how AI can enhance competitiveness while potentially exacerbating inequalities and raising privacy, bias and transparency concerns. By integrating ethical and societal factors into a single framework, this study addresses a critical gap in current research, offering guidance for SME leaders, policymakers and researchers. The propositions suggest that ethical leadership fosters stakeholder trust, and that inclusive policies are essential to prevent AI-driven inequalities. This framework can serve as a roadmap for responsible AI adoption, informing capacity-building initiatives, regulatory guidance and future empirical studies. Ultimately, the paper invites further research to validate and refine its concepts and to explore cross-industry and cross-regional variations, ensuring that AI’s benefits are realized while mitigating its ethical and societal risks.
  • Irma Dikhaminjia, Kanat Tireuov, Tatia Qajaia, Zhibek Khussainova
    RESEARCH OF SOME FACTORS AFFECTING DISCRIMINATION IN THE ORGANIZATION AND ITS IMPACT ON CONFLICT SITUATIONS
    JEL: J7, J0, J1.
    Abstract: The study of discrimination in organizations remains significant. Discrimination leads to various processes linked to conflict situations. In many instances, discrimination stems from the leader's management style. It is also... The study of discrimination in organizations remains significant. Discrimination leads to various processes linked to conflict situations. In many instances, discrimination stems from the leader's management style. It is also important to consider that any form of discrimination in an organization that causes conflict situations affects the psycho-emotional state of employees, negatively affects their health and personal lives, and ultimately disrupts the work-life balance. The mentioned condition directly affects employee performance. We identified the factors that created significant problems in the relationship between leaders and followers in Georgian organizations. The study was conducted in the Ministry of Economy and its subordinate structural units. Data were collected through an anonymous questionnaire. The developed questionnaire included 64 questions. 720 respondents participated in the survey. Hypotheses were developed and tested using the SPSS statistical package during the research process. Based on the data analysis, important recommendations were developed.
  • Serghei Ohrimenco, Dinara Orlova, Valeriu Cernei
    COMMERCIAL SECRET MANAGEMENT IN TERMS OF SHADOW DIGITAL ECONOMY
    Abstract: The article explores trade secret protection management in the context of the shadow digital economy (SDE). The study aims to identify threats to trade secrets associated with SDE and propose effective protection methods. It... The article explores trade secret protection management in the context of the shadow digital economy (SDE). The study aims to identify threats to trade secrets associated with SDE and propose effective protection methods. It emphasizes that the economic value of trade secrets lies in their confidentiality, making them vulnerable to data leaks, cyberattacks, and other risks, particularly in the digital environment. The authors examine the nature of trade secret in terms of SDE spread. The paper presents methods of trade secret protection, including documentary, economic-organizational, and information-analytical types. Special attention is paid to the combined use of patent protection and encryption techniques. The study concludes with key findings, highlighting the need for enhanced cybersecurity, international cooperation to combat cyber espionage, and improved organizational measures. This work significantly contributes to the understanding of commercial secret management and offers valuable recommendations for businesses operating in the digital economy.
  • Jelena Franjkovic, Ivana Fosic, Ana Zivkovic
    APPLICATION OF MACHINE LEARNING ALGORITHMS IN PREDICTING CUSTOMER LOYALTY TOWARDS GROCERY RETAILERS
    JEL: M30, C53.
    Abstract: Retailers strive for customer loyalty in the sense of repeat purchases, but also as a high proportion of purchases (compared to competitors) and willingness to recommend to other customers. This paper examines customer loyalty in... Retailers strive for customer loyalty in the sense of repeat purchases, but also as a high proportion of purchases (compared to competitors) and willingness to recommend to other customers. This paper examines customer loyalty in the grocery sector as a three-dimensional construct and shows how machine learning techniques can be useful in its study. Price characteristics of the retailer (price level, value for money, price dynamics, price communication and price dispersion) and non-price characteristics of the retailer (general product range, retailer's private label product range, store design and atmosphere, service level and location) are included in the model as predictor variables. Using the data collected through the primary research conducted in Croatia, 433 samples were divided into 10 independent predictor variables and one dependent variable (customer loyalty), a prediction was created using supervised machine learning classification algorithms. The Random Forest classifier proves to be the best choice overall, with ROC_AUC value of 0.790, a high accuracy of 0.915 and an F1 score of 0.954, reflecting both precision and responsiveness. The application of the SHapley Additive exPlanations analysis additionally enables the interpretation of the results, highlighting the influence of features on the accuracy of the prediction. The results indicate that price dynamics and service level are the most important features for the model predictions, followed by value for money and price communication.
  • Ilian Minkov, Milen Dinkov, Petya Dankova
    CORPORATE SOCIAL RESPONSIBILITY ASPECTS WITHIN THE PUBLICISED CORPORATE CULTURE OF BULGARIAN COMPANIES
    JEL: M14, M39.
    Abstract: In recent years, the notion that business has a broad responsibility to society as a whole has gained significant momentum and is reflected in various academic theories, business practices and regulations. The concept of corporate... In recent years, the notion that business has a broad responsibility to society as a whole has gained significant momentum and is reflected in various academic theories, business practices and regulations. The concept of corporate social responsibility (CSR) has been interwoven with various academic fields, including strategic management and corporate culture. In order to establish a reputation as a socially responsible business entity, it is necessary for companies to adequately disclose CSR activities and events in the virtual space. The aim of this paper is, therefore, to examine the scope of CSR disclosure on the Internet by organisations from different sectors of the Bulgarian economy and its role in the portfolio of publicised corporate culture. The research methods used to achieve this aim include establishing relative values, comparative analysis and content analysis. The findings of the study demonstrate that there is an ambiguous attitude towards CSR in the companies surveyed, as in certain sectors it has a high degree of disclosure and is leading in rank, while in others it is present on the web pages of a small number of companies and has a rather peripheral role among the other elements in the portfolio of publicised corporate culture. To improve the communication effectiveness of the CSR component within the publicised corporate culture, it is essential that the information, initiatives, and priorities disclosed on the company web page are relevant and consistent with the fundamental aspects of the culture, specifically the mission, vision and values/principles.