FM - Business Management & Marketing

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Artificial Intelligence in modern policing : understanding the multifaceted impacts
(Hungarian Association of Police Science, 2024) Ioan, Alexandru
This article comprehensively examines the multifaceted impact of artificial intelligence (AI) on modern law enforcement, considering stakeholders, societal implications, and results analysis. In an era of rapid AI advancement, law enforcement increasingly leverages AI for enhanced operational efficiency, public safety, and addressing challenges. The paper begins with predictive policing, using machine learning to analyze historical crime data and predict hotspots, exploring its impact on stakeholders and societal implications. The role of AI in investigative processes, particularly facial recognition aiding suspect identification and forensics, is assessed with attention to privacy, accuracy, and transparency. AI's role in digital forensics and cybercrime detection is discussed, emphasizing stakeholder involvement, ethical concerns, and the balance between privacy and security. Integration of AI in police operations and resource management is examined, focusing on AI-driven decision-making, optimized patrols, resource allocation, and emergency responses.
Leveraging neuroleadership and adopting AI to improve human capital development in IT&C business organizations
(Bucharest University of Economic Studies, Faculty of Management, 2024-08) Stăneiu, Roxana Maria; Stratone, Mădălina Elena; Dabija, Dan Cristian; Mititean, Pompei
This paper aims to explore how business organisations in the Romanian IT&C sector strategically implement neuro-leadership principles to accelerate the adoption and implementation of artificial intelligence (AI) technologies, thus enhancing human capital development and promoting sustainable competitive advantages. Applying the focus group method, dynamic discussions were held with 10 representatives of Romanian IT&C companies to highlight how these business organisations strategically implement neuroleadership principles and adopt AI technologies in human capital management. The results of the research, divided into four main themes, reveal the importance of neuroleadership in improving employee competencies as well as overcoming the challenges associated with implementing AI in organisations. Research provides new and relevant insights for leaders in business organisations to effectively adapt to the complexity of technological change caused by AI adoption in human resource management. At the same time, the results reveal the importance of fostering a culture of continuous learning and development to harness the potential benefits of AI, while mitigating the risks associated with this approach. The originality of the paper is derived from the merging of the fields of leadership, neuroscience, and AI, thus providing a comprehensive understanding of the dynamics shaping organisational responses to technological innovation.
Looking into the antecedents of the transformation of IT jobs : a country-based perspective
(Faculty of Management (SNSPA), 2022) Moldoveanu, Ion
Technology is changing at an exponential rate. As a result, it does have a disruptive life on society and our lives. It changes our personal lives, socialization, and interaction with people and businesses. Technology has changed and does continue to change the way we work. Along with the four industrial revolutions, many jobs have disappeared, more jobs have been created, and almost every job was transformed by automation. The 4th industrial revolution leading to Industry 4.0 is powered by artificial intelligence, robotics, Internet of things. The Information Technology (IT) industry and IT professionals primarily drive this transformation. While information technology specialists contribute with the technology they build to change their world, technology is transforming the profession responsible for this transformation. The paper looks at how digital transformation impacts the transformation of IT jobs, how government policies and managerial strategies impact the transformation of IT jobs and how employees and organizations are responding with investment in skills development. The research relies on a questionnaire-based survey with 132 Romanian IT professionals, students and computer science professors representing small and large organizations. Seven out of the nine hypotheses were supported by the data, confirming that digital transformation impacts the transformation of jobs, particularly IT jobs, and that this drives the need to build new technical and soft skills.
What managers of SMEs in the CEE region should know about challenges of artificial intelligence’s adoption? : an introductive discussion
(Military University of Technology, Warsaw, 2022) Vidu, Cristian Mihai; Pînzaru, Florina; Mitan, Andreea
The next step of the digital transformation is to adopt artificial intelligence (AI), even if the technology itself is still evolving. Nevertheless, discussions on AI pros and cons are vivid: managers are in the frontline of the decision-making on the best ways for such transitions. If corporations are already familiar with AI, at least partially for some processes, small and medium enterprises (SMEs) face a double pressure: their inequal degree of digital maturity, as well as the everyday constraints on how to increase competitiveness. CEE SMEs, in particular, find themselves in a complex framework, and the adoption of AI, even if challenging, could be one of the solutions to advance in terms of efficiency. Nevertheless, risks in such an approach must be carefully considered. Based on a semi-structured literature review, this opinion paper discusses the main risks that managers of SMEs in the CEE region should understand regarding AI and the consequent challenges of adopting it in business. Final considerations and future research discussions conclude the paper.

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