Business Management

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  DEVELOPMENT OF A METHODOLOGY FOR THE IMPLEMENTATION OF SECURE WEB APPLICATIONS IN BUSINESS ORGANIZATIONS

  Background: Web application development is a difficult and complex task. The complexity is mostly expressed in the multitude of tasks that must be performed in the development life cycle. In today's environment, it is important that web applications prove their security and resilience in a changing cyber environment. For these reasons, web ... Background: Web application development is a difficult and complex task. The complexity is mostly expressed in the multitude of tasks that must be performed in the development life cycle. In today's environment, it is important that web applications prove their security and resilience in a changing cyber environment. For these reasons, web applications should meet a number of requirements in the process of their technological implementation, which is explored in the article. Methods: The methods used are related to a literature survey on the cyber security requirements of web applications and the characteristics of their life cycle. On this basis, basic key issues of vulnerability testing of developed systems in business organizations have also been studied. Results: As a result of the development of the methodology its main components have been tested in the development of web applications. The achieved application protection levels as a result of the implemented measures have been reported and analyzed. On this basis, some possibilities for improvement of the proposed methodological components are outlined. Conclusions: As a result of the studies and analyses basic conclusions have been drawn about the possibilities for developing and implementing secure web applications in business organizations.

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  SOCIETAL IMPACTS AND ETHICAL CONSIDERATIONS OF AI IN THE BUSINESS

  Using advanced technologies in general, and AI in particular, are enabling and bringing valuable services and contributions to society in many directions. Likewise, for nature, their contribution is significant in different areas. But, as we consider the positive aspects of AI for society and nature, we must bear in mind that at the same time the ... Using advanced technologies in general, and AI in particular, are enabling and bringing valuable services and contributions to society in many directions. Likewise, for nature, their contribution is significant in different areas. But, as we consider the positive aspects of AI for society and nature, we must bear in mind that at the same time the advancement of technologies and the use of AI are causing societal side effects and external costs, which are tangible and visibly damaging society and nature. In this presentation, through literature sources and empirical findings, we will highlight the positive and side effects of the application of AI, assessing that the challenge of society and professionals in the field is to minimize side effects and external costs of AI, making the AI beneficial for humanity. The paper conveys the hypothesis that the application of AI Ethics is an effective tool to make AI useful and beneficial both for society and for nature. For this purpose, corporations and businesses of all sizes, must clearly articulate their attitude and behaviour in regard to the use of technologies. The collection of literature, empirical findings, analysis, comparison, generalization, and evaluations will be used as research instruments to testify the idea presented. The paper recommends that business organizations should apply the AI Code of Ethics as an integral part of their daily activity.

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  BUSINESS INNOVATION SELF-ASSESSMENT WITH ARTIFICIAL INTELLIGENCE SUPPORT FOR SMALL AND MEDIUM-SIZED ENTERPRISES

  This study investigates the role of AI-powered self-assessment tools in enhancing innovation management for small and medium-sized enterprises (SMEs). The primary purpose is to provide SMEs with a cost-effective means to assess and develop their innovation capacities across eight key areas strategic orientation, innovation portfolio, innovation ... This study investigates the role of AI-powered self-assessment tools in enhancing innovation management for small and medium-sized enterprises (SMEs). The primary purpose is to provide SMEs with a cost-effective means to assess and develop their innovation capacities across eight key areas strategic orientation, innovation portfolio, innovation process, innovative talent and culture, innovation capabilities, technology adoption, strategic alliances, and innovation performance measurement. Utilizing a qualitative, exploratory approach, data was gathered through a Scopus database search and supplemented with relevant literature on AI and innovation management. Findings reveal that AI-driven assessments based on data analysis, pattern recognition, and predictive modeling significantly benefit SMEs by offering actionable insights and recommendations, enabling efficient decision-making, and promoting competitive dynamism. However, limitations such as data quality, algorithmic bias, and privacy concerns must be carefully managed to avoid potential risks associated with AI implementation. The study discusses the impact of AI on reducing the "innovation divide" by democratizing access to advanced innovation management tools, thus supporting SMEs in achieving strategic growth and market adaptability. This research concludes that AI-driven tools represent a valuable asset for SMEs, bridging gaps in consultancy access, and fostering economic inclusivity.