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All Journal Dinasti International Journal of Management Science Jurnal Manajemen Bisnis
Nur Yudiono, Nur
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

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The Influence of Soft Skills, Adversity Quotient, and Self Efficacy on Work Readiness in Students of The 2020 Class of Management Study Program, Universitas Muhammadiyah Malang Setyoningrum, Ambarwati; Febriani, Rizki; Shafiraa, Ratya; Yudiono, Nur
Manajemen Bisnis Vol. 14 No. 02 (2024): October
Publisher : Universitas muhammadiyah malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/mb.v14i02.41995

Abstract

The purpose of this study was to determine the effect of soft skills, adversity quotient and self-efficacy of students on work readiness. The study population was Management Study Program students, University of Muhammadiyah Malang, Class of 2020. Sampling using the Slovin formula method with basic random sides resulted in 86 responses. Multiple linear regression analysis was carried out using SPSS 26 in this method. The findings of this study indicate that although adversity quotient has a positive and insignificant effect on work readiness—that is, it does not affect students' readiness to enter the workforce—skills have a large positive effect on work readiness. Work readiness increases significantly through self-efficacy. In management study program students, University of Muhammadiyah Malang, Class of 2020, self-efficacy has a stronger influence on work readiness.
Artificial Intelligence in the Creative Economy: A Systematic Bibliometric Review and Future Research Agenda Yudiono, Nur
Dinasti International Journal of Management Science Vol. 7 No. 4 (2026): Dinasti International Journal of Management Science (March - April 2026)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijms.v7i4.6507

Abstract

The rapid development of artificial intelligence (AI) has driven significant transformation in the creative economy, a sector fundamentally rooted in creativity, knowledge, and innovation. Although the number of publications addressing AI in the creative economy has increased substantially in recent years, the intellectual structure, thematic evolution, and research gaps within this field remain insufficiently mapped, particularly within the domains of business and management. This study aims to systematically map the scholarly landscape of AI in the creative economy using a systematic bibliometric review approach. Data were collected from the Scopus database through a structured search strategy and predefined inclusion criteria, resulting in a dataset of 128 articles analyzed using VOSviewer software. The citation analysis reveals a total of 2,107 citations, with an average of 16.46 citations per article and an H-index of 22, indicating that this research area is in a growing phase with an emerging core literature. Co-occurrence analysis identifies four major thematic clusters: digital transformation and innovation in the creative economy, technological impacts on economic growth, AI-driven entrepreneurship, and human–AI collaboration in the future of work. Overlay visualization indicates a shift in research focus from macro-level perspectives toward organization-based perspectives, while density visualization highlights that themes such as AI readiness, organizational capabilities, and human capital development in AI-driven creative environments remain underexplored. This study contributes theoretically by demonstrating a shift from industry-based perspectives toward capability-based perspectives in understanding AI adoption within the creative economy. The findings also provide directions for future research and offer practical implications for creative organizations and policymakers in developing sustainable AI adoption strategies.
Co-Authors Rizki Febriani Setyoningrum, Ambarwati Shafiraa, Ratya