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  BUSINESS DEVELOPMENT OF DUBAI COMPANIES: A SYNTHESIZED FACTOR-ACTIVITY ANALYSIS

  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 ... 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.

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  CORPORATE SOCIAL RESPONSIBILITY ASPECTS WITHIN THE PUBLICISED CORPORATE CULTURE OF BULGARIAN COMPANIES

  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 ... 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.

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  APPLICATION OF MACHINE LEARNING ALGORITHMS IN PREDICTING CUSTOMER LOYALTY TOWARDS GROCERY RETAILERS

  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 ... 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.