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<jats:p>Electric vehicles (EVs) must be used as the primary mode of transportation as part of the gradual transition to more environmentally friendly clean energy technology and cleaner power sources. Vehicle-to-grid (V2G) technology has the potential to improve electricity demand, control load variability, and improve the sustainability of smart grids. The operation and principles of V2G and its varieties, the present classifications and types of EVs sold on the market, applicable policies for V2G and business strategy, implementation challenges, and current problem-solving techniques have not been thoroughly examined. This paper exposes the research gap in the V2G area and more accurately portrays the present difficulties and future potential in V2G deployment globally. The investigation starts by discussing the advantages of the V2G system and the necessary regulations and commercial representations implemented in the last decade, followed by a description of the V2G technology, charging communication standards, issues related to V2G and EV batteries, and potential solutions. A few major issues were brought to light by this investigation, including the lack of a transparent business model for V2G, the absence of stakeholder involvement and government subsidies, the excessive strain that V2G places on EV batteries, the lack of adequate bidirectional charging and standards, the introduction of harmonic voltage and current into the grid, and the potential for unethical and unscheduled V2G practices. The results of recent studies and publications from international organizations were altered to offer potential answers to these research constraints and, in some cases, to highlight the need for further investigation. V2G holds enormous potential, but the plan first needs a lot of financing, teamwork, and technological development.</jats:p>

<jats:p xml:lang="en">Over the last few years, brands have increasingly looked to influencer marketing to promote their products. More recently, a new approach has emerged, leveraging artificial intelligence to create virtual influencers. Despite the growing importance of virtual brand ambassadors, academic research on virtual influencers remains fragmented, with limited discussion regarding the ideal characteristics of such agents. This paper addresses this gap in the literature and identifies the conditions necessary for virtual influencers to deliver positive outcomes. Based on existing literature, we identify eight essential attributes that significantly influence the effectiveness of virtual influencers. We also propose an agenda for future research and present a conceptual model to elucidate virtual influencer dynamics. This research enhances our understanding of virtual influencers’ role and impact in contemporary brand promotion, providing valuable insights for scholars and practitioners.</jats:p>

ARTeFACTo is a transdisciplinary studies journal and conference centered around the concept of digital media and computer artifacts, which were the genesis of its name. It aims to give visibility to all digital media and technology-based artifacts, creators, or contributors from a transdisciplinary, humanistic, and holistic perspective of integration and composition. The main objective is constructing and disseminating knowledge through descriptions of artistic practice, authorship or co-authorship (including the narration and description of other works), and graphic data (images, diagrams, animations, drawings, sketches). The Journal is open to international contributions from all those studying digital media/computer artifacts, embracing their conceptualization, design, creative and research processes, computational implementation, exhibition and fruition, and role in today’s information and knowledge society. Also welcomed are articles fostering the establishment of the conceptual foundations of an artifact theory in the digital media world. Accepted articles shall be original (in compliance with the standards of conduct of the COPE – Code of Conduct and Good Practices) in Portuguese and English, with a mandatory abstract in English. The Conference has the same goals as the Journal but provides a specific floor for the concrete exhibition of artifacts along with their presentation and discussion. All submissions will be evaluated by peer review, including two advisors from the Scientific Council. All feedback will be sent to the authors, indicating their approval, refusal of publication, or requests for correction or recast. The authors will be notified of the publication once the entire selection process has been completed. ARTeFACTo is a joint project between Artech International and Universidade Aberta.

As an important part of the global economy, family business have made a lot of contributions to the world economy. With the deepening of China's reform and opening up, the scale and volume of family business have increased dramatically in the national economy. In recent years, more and more family-owned enterprises have entered the list of “Top 500 Chinese Enterprises” and become an important part of the national economy. As a special enterprise organization, family business has certain characteristics. Most of the Chinese family business were founded in the early stage of China's reform and opening up, and now more and more family business are facing the problem that the founders need to leave the family business due to their advanced age. How to ensure the smooth succession of family business and avoid conflicts and contradictions in the process of succession is an important challenge faced by many family business. How to ensure that family business can continue to develop and maintain a high performance status is of great significance to the founders and their successors, as well as to the Chinese economy. Therefore, this research examines how the characteristics of successors affect enterprise performance based on the context of intergenerational succession in family business. This research is based on a multi-case study in which in-depth interviews were conducted with the founders and successors of five cases, which led to the conclusion that five successor characteristics have an impact on enterprise performance. They are inclusiveness, forward thinking, sociable and good communication, sense of social responsibility and sense of family mission. This finding has significant implications for the training of successors and the management of the succession process in Chinese family business. This study is conducive to the discovery of the mechanism of successor characteristics on enterprise performance as well as to make a realistic contribution to the research on the outcomes of family business in China.

The study aimed to analyze teachers' perceptions of co-teaching within an inclusive educational environment, focusing on the challenges they face, the tools and resources available, and how these factors contribute to promoting inclusion. Conducted with 16 primary and secondary school teachers from an inclusive school in Macau, the research utilized in-depth semi- structured interviews to gather qualitative data on their experiences and perceptions. Overall, the findings highlight co-teaching as a powerful strategy in educational settings, particularly for enhancing students’ learning outcomes. Teachers reported positive views on co-teaching, recognizing its potential to promote collaboration and support diverse learners effectively. Nevertheless, cultural factors significantly influenced teachers’ attitudes toward inclusion. The study revealed that teachers varied cultural and professional backgrounds lead to different perspectives on inclusive practices. This complexity highlights the need for culturally responsive approaches in teacher training and professional development. Despite the positive perceptions of co-teaching, teachers encountered several challenges, namely inconsistent school practices, lack of institutional support from school administration and leadership and inadequate training opportunities. This study suggests that addressing these challenges is crucial for the successful implementation of co-teaching approaches, namely policy adjustments by stakeholders to support co-teaching initiatives, effective allocation of resources for teachers, professional development for school leaders to enhance their ability to foster a collaborative environment, and ongoing training focused on co-teaching methodologies for teachers.

With the rapid development of Internet technology and the acceleration of globalization, cross-border cybercrime has become a global challenge, and its complexity and severity are increasingly prominent. Cyberspace is unbounded, anonymous and real-time, which provides unprecedented convenience for criminals, enabling them to easily cross-national borders and commit a series of criminal acts that seriously endanger national security, social stability and citizens' rights and interests, including online fraud, online gambling, online money laundering and infringement of intellectual property rights. These crimes not only destroy the order of cyberspace, but also pose new challenges to the legal system and jurisdiction of the real world. As two closely linked economies, Macao and China enjoy the convenience brought by the Internet, but they are also deeply troubled by cross-border cybercrimes. Although the two places belong to the same sovereign country, there are significant differences in legal systems, judicial systems and law enforcement practice, which may lead to conflicts and differences in the jurisdiction, investigation, prosecution and trial of cases. These legal conflicts not only affect the fairness of cases, but also hinder the effective cooperation between Macao and China in combating cross-border cybercrimes, posing a serious threat to maintain social stability and protecting citizens' rights and interests in the two places. Therefore, it is not only of great theoretical significance, but also of far-reaching practical significance to study the criminal jurisdiction over cross-border cybercrimes between Macao and China. From a theoretical point of view, the criminal jurisdiction of cross-border cybercrime involves many disciplines such as constitutional law, criminal law, criminal procedure law, and also the application of the Basic Law of Macao, which is a complex research topic. With the continuous innovation of Internet technology, the applicability of the traditional criminal jurisdiction principle in cross-border cybercrimes is seriously challenged. How to re-examine and define the criminal jurisdiction of cross-border cybercrimes in the new era and how to coordinate the jurisdiction conflicts between different jurisdictions have become urgent problems in current legal research. From a practical point of view, cross-border cybercrime has seriously endangered the social stability and economic development of Macao and China. Criminals use the Internet to engage in cross-border gambling, cross-border fraud, spread network viruses and other criminal activities, which not only bring huge economic losses and psychological trauma to the victims, but also seriously undermine the social atmosphere and market order. Therefore, it is of great significance to strengthen the crackdown on cross-border cybercrimes and improve the criminal jurisdiction system of cross-border cybercrimes for maintaining the stability of the society and promoting healthy economic development in both places.

This dissertation investigates the key factors influencing citizens to adopt e-government services in Macao, focusing on the Macao One Account platform. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, the study examines factors such as Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, with additional factors including Trust and Perceived Risk. This study is essential to provide a guideline for adopting e-government services effectively, helping policymakers and government entities optimize digital platforms for improved service delivery and user engagement. The research employed a quantitative methodology. The survey data was collected through an online survey in Google Forms distributed to Macao residents who use the Macao One Account platform. The responses of the 126 respondents were analyzed using descriptive statistical methods to identify trends and relationships between the key constructs. The findings reflect that performance expectations, effort expectations, trust, and facilitating conditions are the most influential drivers, with social influence playing a more moderate role. Perceived risk is low, indicating minimal concerns about security or privacy. Usability is an important driver, as most respondents find the platform easy to learn and use. Additionally, the users’ attitudes to the e-government platform could be affected by their trust in the government; reducing risk and increasing confidence can improve the platform's reliability to users. This study shows the need to improve the e-government platform by focusing on users. It includes making it easier to use, building trust with strong data protection, and making it accessible to all citizens. These results give ideas for adopting e-government in Macao and offer simple steps for policymakers to create more inclusive digital services.

This study aims to explore the difficulties and challenges faced by regular primary school teachers in Macao when dealing with inclusive students in the classroom. As the concept of inclusive education deepens, the number of inclusive students in Macao has been increasing, but the growth of schools participating in inclusive education has been slow, posing more challenges for regular primary school teachers. This research adopts a mixed-method approach, combining classroom observations and in-depth interviews to comprehensively understand the issues teachers face. The study conducted structured observations of 15 lessons, covering 5 grade levels and 5 subjects, and carried out in-depth interviews with 7 teachers. The findings reveal: (1) Inclusive students generally experience difficulties in classroom participation, task completion, and independent learning; (2) Teachers generally lack sufficient professional knowledge and skills to effectively address the needs of inclusive students; (3) Schools lack resources and support, including adaptive curriculum arrangements and assessment methods for inclusive students; (4) There are contradictions between current educational policies and practical needs, such as the no-retention policy for grades 1-4, which may lead to missing the best intervention timing for inclusive students. Based on the research results, this paper proposes recommendations including strengthening teacher professional development, optimizing school resource allocation, improving educational policies, reinforcing early identification and intervention mechanisms, and promoting home-school cooperation. These findings and suggestions provide important references for policy-making and practical improvements in inclusive education in Macao. 本研究旨在探討澳門普通小學教師在課堂應對融合學生時所面臨的困難及挑戰。隨著融合教育理念的普及，澳門融合學生數量不斷增加，但參與融合教育的學校數量增長緩慢，使得普通小學教師面臨更多挑戰。本研究採用混合研究方法，結合課堂觀察和深度訪談，以全面了解教師面臨的問題。 研究對15節課進行了結構化觀察，涵蓋5個年級和5個學科，並對7位教師進行了深度訪談。研究發現：（一、）融合學生在課堂參與、任務完成和自主學習等方面普遍存在困難；（二、）教師普遍缺乏足夠的專業知識和技能來有效應對融合學生；（三、）學校資源和支援不足，缺乏針對融合學生的適應性課程安排和評核方式；（四、）現行教育政策與實際需求之間存在矛盾，如一至四年級不留級制度可能導致錯過融合學生最佳干預時機。 基於研究結果，本文提出了加強教師專業發展、優化學校資源配置、完善教育政策、強化早期識別和干預機制，以及促進家校合作等建議。這些發現和建議為澳門融合教育的政策制定和實踐改進提供了重要參考。

Ikea’s entry into the China market and how its become successful in the foreign country

This dissertation investigates the impact of the COVID-19 pandemic on teachers' perceptions of digital technology in education, particularly in the context of Macau. As traditional classrooms transitioned to online and blended learning environments in March 2020, the necessity for teachers to adapt and utilize technology became paramount. This study explores how future educators' experiences with e-learning during this crisis have shaped their views on the benefits and challenges of various instructional methods, including online, face-to-face, and blended learning. Utilizing a quantitative research methodology, data were collected from a sample of 30 primary teachers through structured surveys. Findings reveal a significant shift in attitudes towards digital tools, with many educators reporting increased confidence in their digital literacy and recognizing the importance of technology in modern education. The research further elucidates the factors influencing teachers' preparedness for digital instruction and the effectiveness of their internship experiences during the pandemic. The implications of this study underscore the critical role of teacher training programs in enhancing digital literacy and pedagogical skills, ensuring that future educators are well-equipped to navigate the complexities of contemporary educational environments. This dissertation contributes to the growing body of literature on technology integration in education and emphasizes the need for ongoing professional development to support teachers in leveraging digital tools effectively.

Fish body mucus plays a protective role, especially in Halobatrachus didactylus, which inhabits intertidal zones vulnerable to anthropogenic contaminants. In silico predicted bioactive peptides were identified in its body mucus, namely, EDNSELGQETPTLR (HdKTLR), DPPNPKNL (HdKNL), PAPPPPPP (HdPPP), VYPFPGPLPN (HdVLPN), and PFPGPLPN (HdLPN). These peptides were studied in vitro for bioactivities and aggregation behavior under different ionic strengths and pH values. Size exclusion chromatography revealed significant peptide aggregation at 344 mM and 700 mM ionic strengths at pH 7.0, decreasing at pH 3.0 and pH 5.0. Although none exhibited antimicrobial properties, they inhibited Pseudomonas aeruginosa biofilm formation. Notably, HdVLPN demonstrated potential antioxidant activity (ORAC: 1.560 mu mol TE/mu mol of peptide; ABTS: 1.755 mu mol TE/mu mol of peptide) as well as HdLPN (ORAC: 0.195 mu mol TE/mu mol of peptide; ABTS: 0.128 mu mol TE/mu mol of peptide). Antioxidant activity decreased at pH 5.0 and pH 3.0. Interactions between the peptides and mucus synergistically enhanced antioxidant effects. HdVLPN and HdLPN were non-toxic to Caco-2 and HaCaT cells at 100 mu g of peptide/mL. HdPPP showed potential antihypertensive and antidiabetic effects, with IC50 values of 557 mu g of peptide/mL for ACE inhibition and 1700 mu g of peptide/mL for alpha-glucosidase inhibition. This study highlights the importance of validating peptide bioactivities in vitro, considering their native environment (mucus), and bioprospecting novel bioactive molecules while promoting species conservation.

This study aims to become a conduit of a missing conversation wherein our front line help-givers can express their experiences. Through a series of semi-structured questions, and theoretical analyses, the themes regarding the Experience and Perception of Helping Relationships in Macau. Findings include difficulties and challenges that the helping profession in Macau encounters in different settings related to role ambiguity and public understanding of the profession. Stigma around a person considered to be a “problem” as well as stigma related to nomenclature of mental illnesses. Factors that enable and facilitate a helping relationship were identified. Trust, sincerity, listening and positive regard were mentioned. Due to Macau’s multi-cultural background, an enabling agent to facilitate a helping relationship was identified – language. As a qualitative enquiry medium for reflection and discovery, this study hopes to bring forward the unique experiences of eleven helping professionals with a spectrum of background to provide richness and newness to the current body of literature.

This study aims to conduct a comprehensive analysis of the dual effects of Macao's economic diversification policy, with the intention of exploring its role in fostering economic sustainability. By thoroughly examining Macao's economy, which has traditionally been heavily reliant on the gaming and tourism industries, the study uncovers the implementation effects of the economic diversification policy, the challenges it encounters, and its potential influence on the economy's future trajectory. The research utilizes a mixed-methodology approach, integrating extensive quantitative data analysis with qualitative interviews to ensure the comprehensiveness and systematic nature of the findings. The study's outcomes underscore the beneficial effects of Macao's economic diversification policy in stimulating the growth of new industries, bolstering economic resilience, and attracting foreign investment. However, the policy also faces challenges such as skill shortages, uneven resource distribution, and the impact on traditional economic pillar industries. The research indicates that despite certain progress, Macao's economic diversification process still needs to overcome various internal and external obstacles. In response to the research findings, this study proposes a series of targeted recommendations, including strengthening the connection between education and industry, optimizing resource allocation strategies, stimulating innovation and entrepreneurship, and promoting the collaborative development of traditional and emerging industries. These suggestions aim to assist the Macao government in effectively addressing current challenges and laying a solid foundation for the long-term development of Macao's economy.

This dissertation studies the regulatory framework of aviation reform in the Macau Special Administrative Region, focus on the balance between protecting local businesses and promoting market liberalization. The study explores how Macau, as a highly autonomous local administrative region in China with a relatively small economy, can effectively reform its aviation industry while safeguarding local interests in the face of open market competition. The importance of this study lies in its analysis of Macau's aviation sector reforms. As Macau seeks to diversify its economy and strengthen its position as a member of the Greater Bay Area initiative, the aviation industry presents both opportunities and challenges. This research contributes to the broader discussion of how small jurisdictions with special political status can participate in regional economic integration while maintaining their distinct advantages and protecting local interests. The research uses Doctrinal Legal Research and Comparative Legal Research methodologies, utilizing documentary analysis and comparative study methods. This research examines the legal framework of the aviation industry in Macau and the challenges it is currently facing. A comprehensive review of international aviation laws, bilateral air service agreements, and domestic regulations provides the foundation for analyze. The study also conducts a comparative analyze with Hong Kong's aviation framework, offering alternative regulatory approaches for a similar Special Administrative Region of China. Several interesting findings emerged from this research. First, the study identified a fundamental tension between Macau's stated open skies policy and its practical implementation, particularly in limitations of its current concession-based system and the underutilization of international traffic rights. Second, the analysis highlights how the current concession-based system has created a monopolistic market structure that hinders competition and innovation, exacerbated by outdated legislation. Third, the comparative analysis with Hong Kong highlights the importance of a clear legal framework and rules in balancing market liberalization with local industry protection, areas where Macau's current regulations show deficiencies. The concluding thought based on these findings is that Macau's aviation industry reform requires a careful approach that gradually introduces competitive elements while maintaining protections for local enterprises. The study suggests that successful reform will depend on establishing a comprehensive legal framework, implementing a flexible multi-tiered licensing system, enhancing regulatory oversight, and developing mechanisms for regional integration. These reforms must be tailored to Macau's unique circumstances, considering its small market size, political status, and strategic position within the Greater Bay Area.

While soundscapes shape the structure and function of auditory systems over evolutionary timescales, there is limited information regarding the adaptation of wild fish populations to their natural acoustic environments. This is particularly relevant for freshwater ecosystems, which are extremely diverse and face escalating pressures from human activities and associated noise pollution. The Siamese fighting fish Betta splendens is one of the most important cultured species in the global ornamental fish market and is increasingly recognized as a model organism for genetics and behavioural studies. This air-breathing species (Anabantoidei), characterized by the presence of a suprabranchial labyrinth organ that enhances auditory sensitivity, is native to Southeast Asia and inhabits low flow freshwater ecosystems that are increasingly threatened due to habitat destruction and pollution. We characterized the underwater soundscape, along with various ecological parameters, across five marshland habitats of B. splendens, from lentic waterbodies to small canals near a lake in Chiang Rai province (Thailand). All habitats exhibited common traits of low dissolved oxygen and dense herbaceous vegetation. Soundscapes were relatively quiet with Sound Pressure Level (SPL) around 102-105 dB re 1 mu Pa and most spectral energy below 1,000 Hz. Sound recordings captured diverse biological sounds, including potential fish vocalizations, but primarily insect sounds. Hearing thresholds were determined using auditory evoked potential (AEP) recordings, revealing best hearing range within 100-400 Hz. Males exhibited lower hearing thresholds than females at 400 and 600 Hz. This low-frequency tuning highlights the potential susceptibility of B. splendens to anthropogenic noise activities. This study provides first characterization of the auditory sensitivity and natural soundscape of B. splendens, establishing an important ground for future hearing research in this species. The information provided on the auditory sensory adaptation of B. splendens emphasizes the importance of preserving quiet soundscapes from lentic freshwater ecosystems.

—Orthogonal time frequency space (OTFS) modulation, combined with massive multiple-input–multiple-output (MIMO) technology, offers robust performance in high-mobility environments and high-user densities by capturing the full diversity of the wireless channel and effectively utilizing spatial multiplexing. This article introduces an adaptive block sparse backtracking (ABSB) algorithm designed to enhance channel estimation in OTFS with massive MIMO (massive MIMO-OTFS) systems. The proposed ABSB algorithm features dynamic block size adjustment based on the residual signal, improving its adaptability to the varying sparsity structure of the channel. Additionally, the algorithm extends the selection range of related block atoms to increase redundancy, reducing the risk of underfitting. Comprehensive simulation results demonstrate that the ABSB algorithm significantly outperforms traditional pilot-based methods in terms of channel estimation accuracy. It also surpasses the block orthogonal matching pursuit (BOMP) method as well as other classical compressed sensing methods. Specifically, the ABSB algorithm achieves up to a 20% reduction in estimation error compared to some of these traditional methods. The enhanced adaptability and robustness of the ABSB algorithm make it a promising solution for channel estimation in massive MIMO-OTFS systems, paving the way for more reliable and efficient next-generation wireless communications.

Autism Spectrum Disorder (ASD) is receiving growing attention as the number of diagnoses continues to rise. However, there is a lack of resources focused on investigating interventions that could improve the quality of life for individuals with ASD. People with ASD often encounter difficulties in social interactions, and their challenges in recognizing emotions further hinder their ability to understand social cues and build relationships. This emotional recognition deficit is thought to be influenced by observed brain abnormalities in the frontal lobe for people with ASD. Given these significant factors, it is crucial to explore potential interventions. The present study utilized Dance Movement Therapy (DMT) as an intervention for individuals with ASD and assessed their emotional recognition abilities, complemented by EEG recordings to explore the efficacy of DMT. A total of 12 one-hour DMT sessions were conducted with the experimental group (n=6), while the control group (n=5) received no intervention. Participants were presented with the Revised Version of the Averaged Karolinska Directed Emotional Faces (AKDEF), which included 36 images (excluding neutral images and full left and right profiles) at four intervals: pre-therapy (T1), after the 4th session (T2), after the 8th session (T3), and post-therapy (T4), while task for control group was present in two-week intervals. EEG band power for alpha and beta frequencies in the frontal lobe was recorded using the EMOTIV EPOC X at the AF4, F4, F3, and AF3 sites. Results indicated that the experimental group demonstrated a significant improvement in accuracy on emotional recognition tasks compared to the control group, although no significant differences were found between trials. In contrast, EEG signal analysis revealed significant differences between trials in both groups. A comparison of the correlation between emotional recognition tasks and EEG band power highlighted intriguing contrasts, suggesting potential insights into the learning effects. The experimental group exhibited peak performance at T2, followed by a decline at T3 and T4; while the control group showed a decrease at T2, an increase at T3, and another decrease at T4. It is proposed that the learning observed in the experimental group at T2, following four sessions of DMT, enhanced their ability to perform the emotional recognition tasks, resulting a subsequent decrease in alpha and beta power at T3 and T4, suggesting that less effort was needed during image perception and. In contrast, the control group struggled to learn, which may indicate that learning was not occurred for the controls. This relationship has not been explicitly explored in current research, and further investigations are recommended. Nonetheless, the findings indicate that DMT is effective to some extent in enhancing emotional recognition skills among individuals with ASD, suggesting its potential utility for social services to consider in their offerings. Future studies would benefit from incorporating a larger sample size or employing clinical EEG recording devices to further refine the results.

Artificial Intelligence (AI) is being applied in different areas of Administration and Management including finance, e-commerce, etc. Project Management (PM) is one area that may benefit from the use of AI to support project managers in making more accurate predictions, more quickly, such as deadline adjustments and cost updates, while at the same time helping with some of repetitive tasks of PM by relieving managers from these processes. Nevertheless, multiple aspects are still in consideration to allow AI to be widely adopted in PM, including lack of validated systems, including aspects of quality and prevalence, trust from users, market and specialists, and how the government will play a role to support the wider adoption of AI tools. This research explores the integration of Artificial Intelligence (AI) in Project Management and its potential to enhance four aspects: service quality, trust, prevalence, and government support. The proposed methodology employs a systematic literature review (SLR) combining with a quantitative survey to assess the current state of AI in project management. The SLR covers scholarly articles from 2016 to 2021, focusing on AI's impact on project management across various industries. The survey, conducted among 200 professionals, gathers insights into AI's perceived benefits and challenges in project management. The research findings indicate a positive inclination towards AI in project management, with respondents recognizing its potential to improve efficiency, support data-driven decisions, and enhance risk management. However, the study also reveals concerns regarding data quality, privacy, and the need for ethical considerations in AI applications. Most respondents agree on the necessity of government support to foster AI adoption and the importance of establishing trust in AI systems through transparency and security measures. The thesis concludes with recommendations for practitioners and policymakers to effectively leverage AI in project management. It proposes a framework including the development of training programs, the establishment of quality standards for AI services, and the promotion of public-private partnerships to drive innovation. The study emphasizes the importance of a multi-faceted approach to AI integration, considering technological, organizational, and ethical dimensions.