„Business World” Library

Most popular articles

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  SMART BUSINESS ENVIRONMENTS: INTEGRATION OF BIG DATA, IoT AND ARTIFICIAL INTELLIGENCE

  Digital transformation of a business is essential for its successful operations in today's dynamic environment. In order to extract maximum value from data and improve their operational efficiency, modern companies invest in intelligent environments based on new technologies. The aim of this scientific research is to explore the potential of Big Data, Internet of Things (IoT) and Artificial Intelligence (AI) technologies for improving smart business environments and their role as tools for ... Digital transformation of a business is essential for its successful operations in today's dynamic environment. In order to extract maximum value from data and improve their operational efficiency, modern companies invest in intelligent environments based on new technologies. The aim of this scientific research is to explore the potential of Big Data, Internet of Things (IoT) and Artificial Intelligence (AI) technologies for improving smart business environments and their role as tools for digital transformation, achieving competitive advantage and sustainable business development. In this regard, the research object is the development of intelligent business environments, and the research subject – the place and role of Big Data, IoT and AI in this development. In order to achieve the aim, in this monographic paper the characteristics and trends in modern business environments are systematized as well as the main advantages, challenges and requirements of IoT and Big Data in intelligent environments; the key tools and technologies for their application are presented; their practical application in the business environment of Bulgaria is studied; the role of AI in smart environments is explored.

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  MANAGEMENT OF CONFLICTS IN BUSINESS ORGANIZATIONS - STRATEGIES, METHODS AND TACTICS

  This monograph examines the possible ways to manage labour conflicts in business organizations. Within the framework of the identified problems, an in-depth analysis of the literature has been carried out, through which a conflict is defined as a multifaceted and dynamic phenomenon that determines the social space. The main idea is that the concept of organizational conflict management, in the context of modern management, requires the use of new methodological tools for more effective ... This monograph examines the possible ways to manage labour conflicts in business organizations. Within the framework of the identified problems, an in-depth analysis of the literature has been carried out, through which a conflict is defined as a multifaceted and dynamic phenomenon that determines the social space. The main idea is that the concept of organizational conflict management, in the context of modern management, requires the use of new methodological tools for more effective management. It is necessary not only to resolve emerging conflicts, but also to predict potential ones. A study has been conducted on a group of employees in a business organization characterized by a large number of employees in different units and departments that are territorially dispersed. Particular attention is paid to highlighting the specific features of the conflict as a process; conflict interactions in the internal environment of the organization; the strategies, methods and tactics used in resolving conflicts, as well as alternative options for their management.

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  ASSESSMENT OF THE INSOLVENCY RISK OF ENTERPRISES

  Foreign models for assessing the insolvency risk of enterprises are an effective way of forecasting a financial position, therefore, they should not be directly excluded from the analytical tools used in Bulgaria. At the same time, these models, developed in socio-economic conditions that differ from the Bulgarian ones, suggest that they should not be immediately applied without a thorough and targeted study. Such studies contribute to the application of foreign analytical models with ... Foreign models for assessing the insolvency risk of enterprises are an effective way of forecasting a financial position, therefore, they should not be directly excluded from the analytical tools used in Bulgaria. At the same time, these models, developed in socio-economic conditions that differ from the Bulgarian ones, suggest that they should not be immediately applied without a thorough and targeted study. Such studies contribute to the application of foreign analytical models with relatively high predictive capabilities in their original form, as well as the adaptation of empirical equations with lower predictive capabilities to a specific business environment, and the construction of new models. In this way, the theory of financial analysis is enriched and favourable conditions for increasing the degree of certainty are created when assessing the insolvency risk of enterprises in practice. TABLE OF CONTENTS INTRODUCTION 9 SECTION ONE THEORETICAL AND METHODOLOGICAL FRAMEWORK OF THE ASSESSMENT OF INSOLVENCY RISK OF ENTERPRISES 15 CHAPTER I INSOLVENCY RISK AS AN OBJECT OF ANALYTICAL RESEARCH 15 1.1. Logical basis of the insolvency risk assessment of enterprises 16 1.2. Macroeconomic dimensions of the insolvency risk 26 1.3. Main characteristics of the insolvency risk 40 CHAPTER II METHODOLOGICAL APPARATUS FOR ASSESSMENT OF INSOLVENCY RISK 58 2.1. Analytical approaches to assessing the insolvency risk 59 2.2. Selection of risk assessment analytical models 70 2.3. Key components of analytical models 81 SECTION TWO PRACTICAL AND APPLIED ASPECTS OF THE INSOLVENCY RISK ASSESSMENT OF ENTERPRISES 96 CHAPTER III ASSESSMENT OF THE INSOLVENCY RISK 96 3.1. Provision of information and tools in assessing the insolvency risk 97 3.1.1. Provision of information in risk assessment 97 3.1.2. Risk assessment tools 102 3.2. Risk assessment of enterprises declared bankrupt 108 3.3. Risk assessment of financially stable enterprises 120 CHAPTER IV IMPROVEMENT OF THE ANALYTICAL MODELS FOR ASSESSMENT OF THE INSOLVENCY RISK 130 4.1. Determining the prognostic capabilities of analytical models 131 4.2. Adapting the analytical models 138 4.2.1. Correcting the limit value of an integral indicator 138 4.2.2. Modifying an analytical model by changing the weighting coefficients 142 4.3. Creating analytical models 146 4.3.1. Model building – phase I 146 4.3.2. Model building – phase II 150 CONCLUSION 160 REFERENCES 166 APPENDICES 169