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Entrepreneurship Education and Academic Support: Understanding Their Impact on Entrepreneurial Motivation and Interest Muhammad Aqshel Revinzky; M Chairul Ihsan; Cattleya Rejito; Zidny Ilma Hasan; Adhadian Akbar
Indonesian Journal of Business and Entrepreneurship Research Vol. 3 No. 1 (2025): Vol. 3, No. 1, January 2025: Indonesian Journal of Business and Entrepreneurshi
Publisher : Department of Business and Entrepreneurship, Faculty of Economics and Business, Universitas Negeri Makassar

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Abstract

This research aims to examine the influence of entrepreneurship education and academic support on students' interest in entrepreneurship at the Faculty of Economics and Business, Universitas Padjadjaran, with entrepreneurial motivation as a mediating variable. This research uses a quantitative approach with a survey design. The research population was all students from the Faculty of Economics and Business, Universitas Padjadjaran, and the sample used was 109 students. The research results show that entrepreneurship education and academic support have a positive effect on students' entrepreneurial interest. Entrepreneurial motivation is proven to mediate the influence of entrepreneurship education and academic support on entrepreneurial interest. This research provides implications for teaching staff and lecturers to be more optimal in directing and guiding students in developing interest in entrepreneurship. By improving the quality of entrepreneurship education and comprehensive academic support, it is hoped that it can increase students' motivation and interest in entrepreneurship. For further research, efforts will be made to deepen and expand this research both in terms of variables and development of research methods.
A Systematic Review Of Digital Indicatiors Digital Indicators For Brand Awarenesss Measurement Joval Ifghaniyafi Farras; Raden Rifqi Dwisanto; Adhadian Akbar
SOUTHEAST ASIA JOURNAL oF GRADUATE OF ISLAMIC BUSINESS AND ECONOMICS Vol. 4 No. 3 (2026): January
Publisher : Pascasarjana, Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/sajgibe.v4i3.5009

Abstract

This study evaluates digital metrics used to capture initial brand awarenesss perceptions, compares their operational implementation across social media platforms, examines their underlying theoretical foundations, and assesses the interdisciplinary methodologies employed. Following a structured systematic literature review aligned with PRISMA guidelines, we screened studies published up to 2024 using predefined inclusion criteria, resulting in a final sample of fifty empirical studies and review articles. These studies encompass quantitative, qualitative, and mixed‑methods research and focus on platforms such as Facebook, Twitter, Instagram, TikTok, and selected regional networks. The findings indicate that advanced computational approaches particularly those integrating sentiment analysis, social network metrics, and machine learning techniques improve sentiment classification accuracy, strengthen construct validity, and enhance the predictive validity of digital brand awarenesss measures. However, the literature reveals a persistent lack of standardized cross‑platform operationalization and limited theoretical coherence. Although a wide range of theoretical models informs metric development, many studies rely on implicit, fragmented, or weakly articulated foundations, constraining causal interpretation and cumulative theory building. The study contributes to both theory and practice by clarifying these limitations and offering directions for the development of more consistent, comparable, and theoretically grounded measures of digital brand awarenesss in an increasingly complex social media landscape