Announced Papers - Special Issue 5, 2025

Artificial Intelligence in Management: State of the Art and Steps Forward

Planned papers will be announced on this page (title/abstract/authors) as soon as authors send proposals to the Editorial Team.

1. THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ENHANCING THE TRAVEL EXPERIENCE FOR TOURISTS: AN ANALYSIS OF SUCCESSFUL MODELS

PUBLISHED

Fatima Zohra BENBRAHMI

University Center Nour Bachir, El Bayadh

Algeria

Hadj M'hammed MEHOR

University Center Nour Bachir, El Bayadh

Algeria

The pace of adopting artificial intelligence (AI) is accelerating across various fields, and the travel and tourism sector is one of the most benefited from this technology. This article reviews the impacts of AI on the development of travel and tourism experiences, focusing on four model countries: Switzerland, Egypt, Saudi Arabia, and the smart city of Helsinki, Finland. The article highlights the challenges faced by the tourism sector in improving service quality and meeting travelers' expectations in the modern technological era. The significance of this research is highlighted by its emphasis on how AI can be used as an innovative tool to enhance travel experiences and increase the efficiency of tourism operations. The article aims to explore practical applications of AI in these countries and provide insights into best practices that can be adopted in the sector. Through the analysis of successful models, the article arrives at several key findings: First, AI technologies contribute to the personalization of services according to travelers' needs, thereby increasing their satisfaction. Second, big data enables the analysis of customer behavior and the improvement of marketing strategies. Third, technological innovations enhance operational efficiency and reduce costs. The article concludes by offering future insights on how to leverage AI to achieve further innovation and growth in the travel and tourism industry, emphasizing the importance of international collaboration in knowledge and experience exchange to develop the tourism sector for optimal results.

2. HARNESSING DIGITAL TECHNOLOGIES FOR VALUE CHAIN OPTIMIZATION AND SOCIETAL TRANSFORMATION

PUBLISHED

Dinko Herman BOIKANYO

University of Johannesburg, Johannesburg

South Africa

This study explores the transformative potential of digital technologies in optimizing value chains and driving societal progress in South Africa. It proposes a novel framework integrating digital tools such as AI, IoT, and blockchain to enhance efficiency, adaptability, and resilience across value chains while addressing critical societal issues like unemployment, inequality, and sustainability. The study examines the interplay between technological innovation and socio-economic challenges, contextualizing its findings within South Africa’s unique environment. Key challenges, including policy limitations, infrastructure deficits, and digital skill gaps, are discussed alongside opportunities for stakeholders in government, industry, and civil society to collaborate for inclusive growth. This research advances academic knowledge by bridging value chain management theories with socio-technical systems and developmental economics perspectives. It also offers practical insights for fostering digital transformation in South Africa and other emerging economies. The study contributes to global discourses on leveraging technology for equitable and sustainable development.

3. ENHANCING INTERNATIONALIZATION MANAGEMENT OF HIGHER EDUCATION THROUGH ARTIFICIAL INTELLIGENCE

PUBLISHED

Onise ALPENIDZE

Higher Colleges of Technology, Sharjah

United Arab Emirates

The current paper proposes a conceptual framework and discusses the role that artificial intelligence can play in internationalizing higher education with an emphasis on the necessity of further empirical research. Internationalization of higher education incorporates the global, comparative, and cross-cultural dimensions of teaching, research, and service. In this, there lies the potential for technological change driven by radical Artificial intelligence (AI) to change the process through facilitation of international collaborations, promotion of student mobility, and support for cross-cultural learning. The study offers conceptual insight into ways AI can contribute to Internationalization through online learning and virtual exchange and lays ground for policymakers, educators, and administrators. It highlights once again the necessity for balanced and inclusive approaches. The paper concludes with the mention of gaps in the available literature, calling for empirical studies that could strengthen its conceptual framework.

4. INNOVATIVE AND SUSTAINABLE ENTREPRENEURSHIP BASED ON INDUSTRY 5.0. EXPECTED BEST PRACTICES, INSIGHTS, AND PATHWAYS

PUBLISHED

Adrian PETRE

Bucharest University of Economic Studies, Bucharest

Romania

Industry 5.0 highlights the need for synergy between digital technologies and human factors, to meet sustainability objectives and resilience within modern production systems. The general objective of this paper is to generate a representation of the research conducted so far on the topic of Industry 5.0, intending to ultimately understand whether researchers' perspectives indicate the capability of Industry 5.0 to support innovative and sustainable entrepreneurship, as well as to see the most representative application areas and the main boosters. The research methodology used is mainly based on bibliometric analysis. The general results indicate, first of all, that sustainability is one of the main insights in scientific research on the topic of Industry 5.0. On the other hand, advanced digital technologies, such as blockchain, digital twins, and artificial intelligence, are the main enablers of the new industrial revolution, and the areas in which they can be implemented are diverse. Finally, we highlight as limitations of this work the fact that the data were taken from a single database, as well as the reduced number of search criteria. As a follow-up to this work, potential future research is proposed, namely identifying the most representative enablers of Industry 5.0 depending on the implementation sector.

5. REDEFINING HUMAN RESOURCE MANAGEMENT IN THE HEALTHCARE SECTOR THROUGH ARTIFICIAL INTELLIGENCE

PUBLISHED

Alina-Georgiana PETRE

Bucharest University of Economic Studies, Bucharest

Romania

We are living in a new era dominated by technological transformations designed for contributing to the efficiency of work through intelligent automation processes of certain activities in a wide range of industries. The implementation of artificial intelligence in human resource management had a major transformational impact by creating new and innovative processes in branches such as employee recruitment, employee evaluation, employee development, managerial decision-making. One of the sectors of activity in which artificial intelligence can have a crucial role is that of healthcare. The integration of artificial intelligence into the human resource management of healthcare system can lead to a major transformation with impact in improving the quality of healthcare services delivered to patients. The purpose of this study is to highlight the way in which implementation of artificial intelligence within human resources from various sectors, but especially in the healthcare sector, can lead to a transformation of human resource management. This article is a review of current empirical works that refer to the transformation of human resource management through new technologies based on artificial intelligence and discusses some implications for future studies in this field.

6. STUDENTS' PREPAREDNESS FOR DIGITAL PEDAGOGY IN A DISADVANTAGED HIGHER EDUCATION INSTITUTION IN SOUTH AFRICA: KIRKPATRICK'S EVALUATION MODEL

PUBLISHED

Sandiso NGCOBO

Mangosuthu University of Technology, Durban

South Africa

Alfred Mvunyelwa MSOMI

Mangosuthu University of Technology, Durban

South Africa

Contemporary youth are frequently characterized as "digital natives" due to their perceived technological proficiency in the artificial intelligence age. This has driven educational institutions to integrate technology into their pedagogical approaches, either fully or in a blended format. However, the current body of research lacks investigation into the impact of self-training, schooling and that provided during orientation at university on students’ preparedness for digital education. Available studies have focused on teachers and workers in the corporate environment. To close the gap, this study adopted the Kirkpatrick's Evaluation Model (KEM) to assess students’ preparedness for the use of Learning Management System (LMS) platforms, such as Blackboard. A closed-response online questionnaire, hosted on Google's platform, formed the basis of data collection from 424 participants at the beginning of the 2025 academic year in a South African university of technology designated as historically disadvantaged institution. The data indicate that, while some participants exhibit technological preparedness and literacy, a significant number equally require substantial training support exceeding the scope of standard university orientation. This imbalance is because of varying students’ schooling and socio-economic backgrounds, which would have disadvantaged students coming from rural areas. The diversity in the technological preparation of new students highlights the critical need for universities to enhance students' technological skills, without generalising their background preparedness, for students’ access and success with artificial intelligence tools as they transition to higher education.

7. TRANSFER PRICING AND TAX COMPLIANCE IN ROMANIA AND POLAND: A COMPARATIVE STUDY WITH INSIGHTS ON AI'S ROLE IN MODERN TAX ADMINISTRATION

PUBLISHED

Cornelia NASTASE

Bucharest University of Economic Studies, Bucharest

Romania

This paper investigates the regulations of transfer pricing taxation in Romania and Poland with respect to the assertion of implementing OECD Guidelines and its infliction on tax avoidance attitudes. The paper analyzes the legislation and administrative practices of transfer pricing regulation in both countries and to what extent they comply with international standards provided by the OECD framework using a comparative method. In addition, the study employs survey data and qualitative analysis to explore public attitudes and perceptions of tax evasion. The study seeks to identify such potential factors by analyzing the interplay between the regulatory environment and public opinion. Key findings indicate that both Romania and Poland have adopted legislation in accordance with OECD recommendations, but there are differences in the application of these laws and their effectiveness. Differences in compliance levels may stem from differences in the levels of public trust in tax authorities and perceptions of fairness of the tax system. High levels of communication are key for the success of tax policies, the study shows. The study highlights the importance of effective communication and transparency in tax policies to foster public trust and promote voluntary compliance. It underscores the need for policymakers to consider not only the technical aspects of tax regulation but also the broader socio-economic context and public sentiment in shaping effective tax administration strategies. Overall, this research contributes to the understanding of the complex interplay between regulatory frameworks, compliance behavior, and public perceptions in the context of transfer pricing taxation, offering insights for policymakers and tax authorities in enhancing tax compliance and governance.