Abstract:This study aims to examine the role of competition law in regulating corporate conduct, protecting consumers, and enhancing economic efficiency in contemporary market economies. Amid increasing market concentration, digital…
tal platform dominance, and the emergence of data-driven business models, competition law has become an essential regulatory instrument for ensuring fair competition, safeguarding consumer interests, and promoting sustainable economic development. This study employs a Systematic Literature Review (SLR) based on the PRISMA 2020 framework. Relevant literature was systematically collected from six major academic databases, namely Scopus, Web of Science, ScienceDirect, SpringerLink, Emerald Insight, and Taylor & Francis Online. The review process included identification, screening, eligibility assessment, and inclusion stages. A total of 78 peer-reviewed articles published between 2015 and 2025 were selected and analyzed using thematic synthesis techniques. The findings reveal that competition law performs four interconnected functions. First, it serves as a regulatory mechanism that shapes corporate behavior and prevents anticompetitive practices, including monopolization, cartel agreements, price-fixing, and abuse of dominant positions. Second, competition law enhances consumer welfare by promoting competitive prices, product quality, innovation, and consumer choice. Third, effective competition policy contributes to allocative, productive, and dynamic efficiency, thereby supporting long-term economic growth. Fourth, digital markets introduce new challenges associated with data concentration, platform dominance, network effects, and algorithmic pricing, requiring adaptive regulatory frameworks and strengthened institutional capacity.This study contributes to the literature by integrating Economic Efficiency Theory, Consumer Welfare Theory, Competition Policy Theory, and Regulatory Governance Theory into a comprehensive analytical framework that explains the relationship between competition law, corporate conduct regulation, consumer protection, and economic efficiency.The findings provide policy recommendations for competition authorities and governments, particularly in developing economies, regarding digital competition governance, institutional strengthening, cross-border enforcement cooperation, and data-driven market regulation.Unlike previous studies that focus on isolated dimensions of competition law, this research offers a holistic synthesis of legal, economic, consumer welfare, and governance perspectives. It further highlights how competition law can address emerging challenges in the digital economy while simultaneously promoting consumer protection and economic efficiency.
Abstract:The rapid proliferation of AI-powered marketing technologies in emerging markets poses a fundamental challenge to culturally-grounded micro, small, and medium enterprises (MSMEs): how can algorithmic imperatives be reconciled…
ciled with indigenous value systems that define not only business practice but collective identity? Despite growing research on both AI adoption in SMEs and indigenous knowledge preservation, scholarship rarely examines how traditional values actively mediate rather than merely moderate commercial technology adoption. This study addresses that gap by investigating how MSMEs in Makassar City, Indonesia, negotiate AI marketing integration while preserving siri’ na pacce, the Bugis-Makassar philosophical framework centred on dignity (siri’) and solidarity (pacce). Employing interpretive phenomenology integrated with Community-Based Participatory Research (CBPR), the study conducted 23 in-depth interviews and three focus group discussions with 44 MSME owners and key personnel across traditional culinary, artisan craft, ethnic fashion, and digital service sectors. Template analysis generated four overarching themes: (1) value-based technology discernment, wherein siri’ na pacce operates as an active epistemological filter for evaluating AI tools; (2) strategic selective adoption, wherein enterprises accept algorithmically aligned functions while rejecting culturally incompatible features; (3) cultural indigenization of technology, wherein AI systems are actively reoriented toward communal rather than individualistic ends; and (4) constrained agency under platform power, wherein algorithmic visibility systems penalise cultural non-conformity with market exclusion. These findings challenge technological determinism and advance decolonial computing theory by demonstrating that indigenous values simultaneously enable epistemological agency and are constrained by structural power asymmetries, a duality insufficiently theorised in prior technology adoption frameworks. The study calls for regulatory frameworks establishing indigenous data sovereignty, participatory AI co-design with local communities, and cooperative digital infrastructure as conditions for authentic, rather than performative, cultural integration.
Abstract:In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted…
ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.
Abstract:The era of artificial intelligence (AI) has brought significant changes in Strategic Human Resource Management (SHRM). This study aims to explore organizational adaptation strategies in facing the integration of AI in SHRM…
RM after 2024. Using the Scoping Review method, this study identifies key trends, challenges, and best strategies in implementing AI in HR management. The review results show that AI improves efficiency in recruitment, performance evaluation, and employee skills development, but also presents ethical challenges such as algorithmic bias and personal data protection. In addition, companies that are successful in adopting AI implement reskilling and upskilling strategies to ensure workforce readiness. This study provides insights for academics and practitioners in developing HR policies that balance technological efficiency and a human value-based approach.
Abstract:The advancement of digital technology has encouraged the adoption of Artificial Intelligence (AI) in online counseling services to enhance the accessibility and quality of mental health care. The emergence of AI through…
chatbots, virtual counselors, and digital mental health platforms presents various opportunities, challenges, and ethical implications that require comprehensive examination. This study aims to analyze the opportunities offered by AI, the challenges associated with its implementation, and the ethical implications of its use in online counseling services. The study employed a literature review method with a qualitative approach, examining 15 scientific articles published between 2016 and 2026. Data were analyzed using content analysis through the synthesis of findings from previous studies. The results indicate that AI has the potential to expand access to counseling services, improve service efficiency, support preliminary assessments, and facilitate the delivery of more personalized and data-driven interventions. However, the use of AI continues to face several challenges, including limitations in understanding human emotions and social contexts, the risk of inaccurate responses, algorithmic bias, and the potential for user dependency on technology. The most prominent ethical concerns involve privacy protection, data security, algorithmic transparency, system accountability, and professional responsibility. This study concludes that AI is more appropriately positioned as a supportive tool or co-counselor for professional counselors rather than a replacement for human practitioners. The novelty of this study lies in its integration of the opportunities, challenges, and ethical implications of AI into a comprehensive analytical framework.
Abstract:The advancement of digital technology has accelerated the adoption of Artificial Intelligence (AI) in e-counseling services to address the growing demand for mental health support in the digital era. The increasing number…
r of clients, counselors’ limited availability, and the challenges associated with conducting psychological assessments through online platforms have created a pressing need for innovative solutions. This study aims to examine the role of AI as a co-counselor, evaluate the effectiveness of its integration into e-counseling practices, and identify the challenges associated with its implementation. The study employed a Narrative Literature Review method by critically analyzing relevant scholarly publications. The findings indicate that AI functions as a collaborative partner that assists counselors in assessment processes, data analysis, emotion detection, service documentation, and the continuous monitoring of clients’ psychological conditions. The integration of AI has been shown to enhance the efficiency, accessibility, and overall quality of digital counseling services. However, its implementation continues to face significant challenges related to data privacy, information security, algorithmic bias, and limitations in understanding cultural contexts and human empathy. The novelty of this study lies in its comprehensive conceptualization of AI as a co-counselor that supports the entire e-counseling service cycle through a collaborative model integrating the analytical capabilities of technology with the humanistic competencies of counselors, thereby fostering more effective, ethical, and inclusive counseling services.
Abstract:The advancement of digital technology has accelerated the adoption of Artificial Intelligence (AI) in e-counseling services to enhance the accessibility and efficiency of psychological support. While offering numerous benefits,…
nefits, the use of AI also presents challenges related to the quality of therapeutic relationships, privacy, data security, and ethical considerations. This study aims to analyze the role of AI, its impacts, and the ethical challenges emerging in e-counseling services through a Systematic Literature Review (SLR) approach. Data were collected from Google Scholar, GARUDA, ScienceDirect, SAGE Journals, and Crossref, covering publications from 2018 to 2026. The review of 13 selected articles revealed that AI serves as a supportive tool through chatbots, data analytics, preliminary assessments, and automated response systems that help expand access to counseling services and improve service responsiveness. The implementation of AI contributes positively by increasing efficiency and accessibility; however, it remains limited in understanding emotions, demonstrating empathy, and comprehending clients’ psychological contexts. The findings also indicate that privacy, data security, algorithmic transparency, and accountability constitute the primary ethical challenges that require careful attention. This study concludes that AI is more appropriately positioned as a complement to counselors rather than a substitute for human counselors. The novelty of this study lies in its integrated analysis of the roles, impacts, and ethical challenges of AI within a single framework, thereby providing a more comprehensive understanding of the development of e-counseling based on collaborative interaction between technology and professional counselors.
Abstract:This study examines how employees perceive and trust Algorithmic Performance Appraisal (APA) in digital-native and technology-driven companies. Adopting Organizational Justice Theory, the Trust in Technology Framework, and…
nd Cognitive Appraisal Theory, the research explores both the direct and indirect effects of APA on employee trust, with Perceived Procedural Fairness (PPF) as a mediating variable. The study uses a quantitative, cross-sectional approach, collecting data from 200 employees in technology-based organizations and analyzing the data with Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that APA significantly enhances both procedural fairness and employee trust, with PPF playing a partial mediating role in this relationship. These findings underscore the importance of transparency, procedural legitimacy, and avenues for employee voice in cultivating trust in algorithmic systems. The study’s theoretical contribution lies in its integration of multiple perspectives on trust and fairness within algorithmic HR management. The practical implication calls for the careful design and implementation of APA systems that employees perceive as fair and trustworthy. Future research should investigate these relationships in longitudinal and multi-contextual settings to deepen the understanding of trust dynamics in evolving AI-mediated work environments.
Abstract:The rapid advancement of digital technology and artificial intelligence (AI) in the twenty-first century has fundamentally transformed the structure of modern constitutional governance. Digitalization has reshaped the interactions…
teractions between governments and citizens, altered the patterns of political participation, and presented major challenges to constitutional principles. This study aims to analyze the implications of technological development for constitutional law and propose the concept of a digital constitution as an adaptive framework in the AI era. This study employs a normative legal method, using both conceptual and statutory approaches. Legal materials consist of primary, secondary, and tertiary sources, which are analyzed qualitatively and descriptively. The findings reveal that, while digital transformation enhances governmental efficiency and public transparency, it also generates serious risks, including data misuse, digital surveillance, and political disinformation. These dynamics demand a reinterpretation of constitutional norms to protect citizens' digital rights in cyberspace. The concept of a digital constitution is proposed as a normative response that integrates digital rights into constitutional rights and reaffirms the principle of the rule of law within technological governance. To achieve a democratic and just constitutional order, it is crucial to strengthen regulatory frameworks, ensure algorithmic accountability, and foster collaboration among state institutions, civil society, and the private sector. Ultimately, constitutional law must evolve into an adaptive, transparent, and fair system that can address the profound challenges of the digital and AI-driven era.
Abstract:The rapid advancement of digital technologies has fundamentally restructured the nature of work and transformed the roles, practices, and strategies of Human Resource Management (HRM). This article presents a systematic…
review of HRM challenges and opportunities within digital workplace environments, drawing on peer-reviewed literature published between 2015 and 2024. Five core dimensions of digital HRM transformation are examined: technology-based talent acquisition, remote and hybrid workforce management, continuous digital competency development, people analytics and data-driven decision-making, and the ethics of algorithmic management. The findings reveal that while digitalization enhances HR efficiency and organizational agility, it simultaneously introduces complex challenges related to employee well-being, digital equity, and data privacy. This article further proposes the Digital HRM Maturity Model as a conceptual framework offering organizations a structured pathway toward sustainable, human-centered digital transformation. Managerial implications and future research directions are discussed accordingly.