Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Fundamental and Applied Management Journal Journal of Economic Education and Entrepreneurship Studies
Dedy Budiman
Universitas Prasetiya Mulya, Indonesia
Economics, Econometrics & Finance Social Sciences Other

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Entrepreneurial Orientation and Organizational Effectiveness: The Mediating Effect of Organizational Engagement Among Managerial Leaders Dedy Budiman; Eko Suhartanto
Journal of Economic Education and Entrepreneurship Studies Vol. 7 No. 1 (2026)
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62794/je3s.v7i1.7

Abstract

This study investigates how three core dimensions of entrepreneurial orientation (EO) innovativeness, proactiveness, and risk-taking influence organizational effectiveness, and whether organizational engagement mediates these relationships. Data were collected from 138 managerial leaders across property, automotive, banking, financial services, and manufacturing industries using an online questionnaire. EO was measured using adapted Covin and Slevin items, organizational engagement using Saks' (2006) scale, and organizational effectiveness using a 14-item scale adapted from Gold et al. (2001), all rated on a seven-point Likert scale. Multiple regression and Baron and Kenny's (1986) mediation procedure were applied. Results reveal that innovativeness (β = 0.263, p < .001) and proactiveness (β = 0.447, p < .001) positively predict organizational effectiveness, while risk-taking yields no significant direct effect (β = 0.154, p = .084). Organizational engagement partially mediates the relationship between innovativeness and proactiveness, whereas the mediation of the relationship between innovativeness and risk-taking is inconclusive. Findings advance EO research by demonstrating dimension-specific effects and positioning engagement as a critical psychological conduit linking entrepreneurial behaviors to collective performance.
The Rise of AI-Assisted Consumer Information Search: An Exploratory Study on Shifting Purchase Decision Behavior in Indonesia Dedy Budiman
Fundamental and Applied Management Journal Vol. 4 No. 2 (2026): Fundamental and Applied Management Journal
Publisher : Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/famj.v4i2.597

Abstract

This study investigates the shifting patterns of consumer information-seeking behavior in Indonesia amid the rapid adoption of artificial intelligence (AI) search tools such as ChatGPT, Google AI Mode, Gemini, and Perplexity. Grounded in the Technology Acceptance Model and Consumer Decision Journey framework, the study proposes an integrated conceptual model in which AI adoption drives information processing, builds consumer confidence, and shapes brand consideration through AI-mediated recommendations. An exploratory quantitative survey was conducted via Google Forms from March 3 to 13, 2026, distributed through professional networks including Sales Director Indonesia (SDI), the Indonesian Marketing Teachers Association (AGMARI), and corporate client networks spanning multiple provinces. A total of 1,617 responses were collected (1,596 valid). The findings reveal that 74.6% of Indonesian consumers have used AI tools for product research, 26.4% are heavy users, 52.3% are influenced by AI brand mentions, and 79.8% perceive AI as accelerating their decision-making. Notably, consumers aged 55 and above demonstrated the highest AI-first adoption rate (24.2%), challenging conventional assumptions about generational technology adoption — a phenomenon herein termed the Silver Surfer Paradox. The study contributes theoretically by extending the Consumer Decision Journey framework to AI-mediated information environments and empirically by repositioning task complexity over digital nativity as a stronger predictor of AI adoption. Practically, the findings establish Generative Engine Optimization (GEO) as a strategic imperative for digital business in the AI era.
Co-Authors Eko Suhartanto