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 aviation sector is vital for improving national connections and influencing a nation's reputation. Garuda Indonesia is the national airline of Indonesia that faces the challenge of maintaining the corporate image amid…
d competition and rapid digital innovation. Social media, especially Instagram, has become an important medium to improve digital branding and interact with consumers. This study seeks to analyze the impact of brand performance, brand relationship, and brand personality on corporate image via Instagram as a digital branding platform. This research is using quantitative methodology with survey technique with purposive sampling. Multiple linear regression analysis wasperformed on data of 142 Instagram followers of Garuda Indonesia. The findings indicate that brand performance, brand relationship, and brand personality exert positive and significant influences on corporate image, both individually and collectively. Brand personality was the most influential of these elements. The coefficient of determination (R²) was 0.583, which means that the model explains 58.3% of the variance in corporate image. Results show the relevance of integrating functional, emotional and symbolic dimensions in digital branding, with brand personality being a central factor in shaping corporate image.
Abstract:This study aims to describe and explain consumer perceptions of environmentally friendly products and their impact on purchasing decisions in Makassar City. With increasing attention to environmental issues and changes in…
n urban lifestyles, it is important for businesses to understand how consumers assess sustainability oriented products. This study uses a qualitative explanatory approach with data collection techniques through in depth interviews, observation, and documentation. Twelve research informants were selected through purposive sampling, consisting of 12 active consumers of environmentally friendly products domiciled in Makassar City, conducted over a three month period from January to March 2026. The results show that consumer perceptions of environmentally friendly products are influenced by three main dimensions, namely: (1) environmental awareness (eco consciousness), (2) trust in green claims, and (3) perception of multidimensional product value. These three dimensions together form a positive attitude that ultimately drives purchasing decisions for environmentally friendly products. In line with the findings of (Hasnidar & Ridha, 2025) which confirmed that eco consciousness and perception of sustainable packaging have a significant influence on green purchasing behavior through the mediation of consumer attitudes, this study enriches this understanding with a qualitative perspective that explores consumers' subjective meanings and experiences in depth.
Abstract:This study develops a practical framework for evaluating AI-generated brand visuals in a marketing communication context. Using a qualitative case study of an Indonesian sustainable startup (I-NewBee), the research employs…
ys photo-elicitation interviews to compare consumer evaluations of brand assets generated by three text-to-image tools (Midjourney, Neural Love AI, and Leonardo AI). Twelve target-market participants assessed anonymized visual sets (A/B/C) produced under a standardized prompt structure, using a semi-structured protocol informed by attention-stage cues from the AISAS model. Expert input from a visual communication design practitioner was used to triangulate judgments on visual quality and brand fit. Data were analyzed through iterative coding and thematic synthesis to identify recurring evaluation dimensions and decision cues. The findings suggest that perceived brand fit is shaped by visual realism, compositional clarity, brand-consistent signals, and message interpretability, while prompt ambiguity and inconsistent visual cues reduce credibility. The paper contributes an actionable evaluation framework expressed as evaluation dimensions and prompt-design considerations for startups seeking to deploy generative AI responsibly in brand communication
Abstract:This study examines the influence of knowledge management on employee competencies at PT. Semen Indonesia Unit Tonasa. Knowledge management, encompassing knowledge creation, storage, sharing, and application, plays a crucial…
cial role in enhancing employee knowledge, skills, and attitudes. Employing a quantitative approach, data were collected through structured questionnaires and analyzed using Structural Equation Modeling (SEM). The findings reveal a significant positive relationship between knowledge management and employee competencies, with a path coefficient of 0.512 and a t-statistic of 7.245. Among the dimensions, knowledge sharing emerged as the strongest contributor to competency development, fostering collaboration and collective learning. Employees reported significant improvements in technical expertise, problem-solving skills, and adaptability. However, challenges such as resistance to change, uneven participation, and resource constraints were identified as barriers to the full implementation of knowledge management initiatives. This study underscores the importance of structured knowledge management practices in developing a skilled and adaptable workforce. Practical recommendations include fostering a knowledge-sharing culture, addressing resistance to change, promoting inclusive participation, and investing in knowledge management systems. These insights are expected to contribute to the academic literature and provide actionable strategies for organizational development
Abstract:This study aims to examine the influence of marketing content dimensions—namely product content, service content, advertising content, and brand culture—on customer loyalty toward Spotify, which encompasses cognitive, affective,…
, affective, conative, and action loyalty. A quantitative research approach was employed, utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) and bootstrapping techniques, with data collected from 145 Spotify users through an online survey. The findings reveal that not all marketing content dimensions exert a significant impact on every facet of customer loyalty. Service content and brand culture emerged as the most influential factors in driving action and conative loyalty, whereas product content predominantly affected cognitive and affective loyalty. This research underscores the critical need for tailored content strategies to effectively foster specific types of customer loyalty within the digital streaming service context. The managerial implications of these results provide a foundation for developing more effective, user experience-oriented marketing content strategies.
Abstract:This study examines the influence of organizational learning on employee competencies at PT. Semen Indonesia Unit Tonasa. In the context of intense market competition and rapid technological change, fostering continuous…
learning has become critical for organizations to enhance workforce adaptability and innovation. Organizational learning dimensions—such as personal mastery, shared vision, team learning, mental models, and systems thinking—were analyzed for their contribution to employee competencies, including knowledge, skills, and attitudes. A quantitative approach using Structural Equation Modeling (SEM) revealed a significant positive relationship between organizational learning and competencies, with a path coefficient of 0.465 and a t-statistic of 6.434. The findings underscore the role of organizational learning in improving employee collaboration, problem-solving, and strategic thinking. However, challenges like resistance to change, unequal participation, and resource limitations were identified as barriers. Addressing these issues through leadership commitment, inclusive participation, and resource optimization can amplify the impact of learning initiatives.
Abstract:This study aims to explore the relationship between consumer-based brand equity and brand loyalty, with an emphasis on the mediating role of customer satisfaction in the specific context of the cake shop segment within the…
he restaurant industry. Employing Structural Equation Modeling (SEM) through LISREL, this research analyzes data collected from customers of Browcyl’s cake shops in Makassar. The model focuses on examining the impact of five dimensions of consumer-based brand equity on customer satisfaction and, subsequently, on brand loyalty. The results indicate that three out of the five dimensions of consumer-based brand equity significantly and positively influence customer satisfaction. In turn, customer satisfaction has a strong, positive impact on brand loyalty. This highlights the pivotal role of certain brand equity elements in enhancing customer satisfaction, which is a key driver of brand loyalty in the cake shop sector. The study offers valuable insights for practitioners in the restaurant industry, particularly in the cake shop sector. It suggests that focusing on specific aspects of brand equity can significantly improve customer satisfaction, leading to increased brand loyalty. This provides a strategic direction for cake shop owners and marketers to strengthen their brand equity in ways that resonate with their customers.
Abstract:The purpose of this research is to analyze the direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. This study…
udy examines the mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is included in the mixed method research where both quantitative and qualitative are used. The research method used in this research is an unbalanced mixed method (concurrent embedded design) conducted on farmers in Mulyoagung Village. The research sample was taken using the quota sampling method with the sample size calculator as the method for determining the number of samples. Data collection was carried out online through a questionnaire form for 2 months on 219 farmers in Mulyoagung Village. Data analysis in this study used SEM-PLS assisted by SmartPLS 3.3.3 software. as well as for qualitative research using documentation and interviews. The results of the study show that there is a direct and indirect relationship between green perceived quality, green perceived value, green perceived risk, green purchase intention, and green purchase behavior. Not only that, there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants. there is a mediating role of green purchase intention in the relationship between the orientation of green perceived quality, green perceived value, green perceived risk, and green purchase behavior. This research is also supported by the qualitative results obtained from several predetermined informants).
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.