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Determining AI-Based Learning Adoption Model for Students in Entrepreneurship Education: A Design Thinking Approach Wahpiyudin, Cep Abdul Baasith; Muhammadan, Sabda Alam; Amalia, Riska; Chrisanta, Adelia; Taryana, Asep
Journal of Consumer Sciences Vol. 10 No. 1 (2025): Journal of Consumer Sciences
Publisher : Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jcs.10.1.27-58

Abstract

Background: Student interest in entrepreneurial pursuits remains low, despite the significant contributions of entrepreneurship to economic growth. Purpose: This study investigates the factors influencing IPB students' interest in adopting AI-based entrepreneurship learning through the lens of design thinking, emphasizing the role of communication methods and their impact on motivation and attitudes. Methods: This study adopts a mixed-method design, combining quantitative and qualitative approaches. Quantitative data were collected via an online survey from 173 IPB students, with 166 valid responses after data cleaning. Quantitative analysis was conducted using descriptive statistics (SPSS 25) and Partial Least Squares Structural Equation Modeling (PLS-SEM). The qualitative aspect involved a SCAMPER analysis within the design thinking framework to explore AI integration in entrepreneurship education. The PICOS framework was applied to explore the factors influencing AI adoption in higher education comprehensively. This mixed-method approach provides a holistic understanding of AI adoption in educational contexts. Findings: Results indicate that learning motivation significantly affects students' intentions to engage with AI-based systems, positively impacting attitudes toward AI. Perceived ease of use also positively influences learning motivation and perceived usefulness, although perceived usefulness does not directly impact learning motivation. Additionally, interpersonal interactions and mass media positively influence attitudes and perceived usefulness, while awareness does not have a significant effect. Conclusion: Expanding AI adoption in entrepreneurship education requires strategic communication, mainly focusing on Design Thinking’s empathize phase to understand student challenges. By iteratively proposing AI tools through the prototype phase, institutions can develop user-friendly, engaging solutions tailored to student needs, fostering higher adoption and engagement in entrepreneurship learning. Research implication: These insights suggest that targeted communication strategies, including design thinking principles, can support broader AI adoption, enhance students’ entrepreneurial learning experiences, and foster a new generation of tech-savvy entrepreneurs.
Ride It or Miss Out: Unpacking Consumer Behavior Intentions for Whoosh High-Speed Rail Wahpiyudin, Cep Abdul Baasith; Sumarwan, Ujang; Simanjuntak, Megawati; Nani, Irvan
Jurnal Aplikasi Manajemen Vol. 23 No. 1 (2025)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2025.023.1.01

Abstract

Despite extensive global research on high-speed rail (HSR) adoption, studies often overlook the unique socio-economic and environmental challenges in emerging markets like Indonesia, including rapid urbanization, private vehicle reliance, and shifting attitudes toward sustainability. This paper aimed to help policymakers design strategies to accelerate HSR adoption and support Indonesia's sustainability goals. Using a quantitative approach, this study examined factors influencing the behavioral intention to adopt high-speed rail (Whoosh) in Indonesia. Data were collected via purposive sampling, targeting respondents from Jakarta and Bandung with specific criteria, resulting in 367 valid responses. The questionnaire entailed demographic questions and items measuring constructs based on the Theory of Planned Behavior and related frameworks, using a five-point Likert scale. Data analysis incorporated descriptive statistics with SPSS and Structural Equation Modeling (SEM) with SmartPLS to validate measurement models and test hypotheses. The results indicate that subjective norms, perceived moral obligations, attitudes, perceived quality, and environmental impact significantly affect behavioral intention (BI), with attitudes being the strongest predictor. Trust influenced subjective norms but did not affect perceived moral obligations or attitudes. External influences, including government campaigns and media, shaped trust, subjective norms, and novelty-seeking behavior. Additionally, environmental impact influenced perceived sustainability, and novelty-seeking behavior positively impacted attitudes toward high-speed rail. These findings offer valuable insights into factors driving adoption and provide implications for policymakers and transportation planners.
Unpacking the tracks: Diving into high-speed rail marketing research trends (2014–2024) and shaping the future of the field Wahpiyudin, Cep Abdul Baasith; Sumarwan, Ujang; Simanjuntak, Megawati; Nani, Irvan
Asian Management and Business Review Volume 5 Issue 2, 2025
Publisher : Master of Management, Department of Management, Faculty of Business and Economics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/AMBR.vol5.iss2.art6

Abstract

This study addresses the critical gap in understanding High-Speed Rail (HSR) marketing strategies in emerging Southeast Asian markets, such as Indonesia, where unique cultural, economic, and infrastruc­tural factors require tailored approaches. Employing bibliometric analysis, the present study delves deeper into the evolution of HSR marketing from 2014 to 2023, analyzing 138 Scopus-indexed articles through R Studio (bibliometrix) and VOSviewer. The study identifies key trends, including the emphasis on pricing strategies, consumer behavior, and sustainability. An increase in publications, especially from emerging markets, indicates a growing interest in the marketing dynamics of HSR. Co-authorship networks and citation analysis high­light prominent authors and institutions, while keyword clustering reveals a shift toward customer satisfaction and environmental concerns. A significant gap in research emerges pertinent to HSR marketing strategies in Southeast Asia, pointing toward the need for region-specific approaches. The findings reveal a research gap in emerging markets like Indonesia, where themes such as “willingness to pay” and “tourism development” remain underexplored. As indicated by the low keyword density and thematic map results, future studies should focus more on consumer behavior and localized marketing strategies to support HSR adoption in diverse socio-economic contexts.
THE CREDIBILITY OF CONSUMER REVIEWS ON THREE E-COMMERCE IN INDONESIA: MIXED METHOD APPROACH Wahpiyudin, Cep Abdul Baasith; Mahanani, Raditya Kasih; Rahayu, Ismie Leona; Simanjuntak, Megawati; Sumarwan, Ujang; Yuliati, Lilik Noor; Djamaludin, Moh. Djemdjem; Johan, Irni Rahmayani; Muflikhati, Istiqlaliyah
Jurnal Ilmu Keluarga dan Konsumen Vol. 15 No. 3 (2022): JURNAL ILMU KELUARGA DAN KONSUMEN 15.3
Publisher : Department of Family and Consumer Sciences, Faculty of Human Ecology, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24156/jikk.2022.15.3.287

Abstract

Online stores with more than 3000 reviews have made it difficult for consumers to find reviews that can be used as the main source of information to decide on a purchase. This research aims to investigate the credibility of reviews that consumers can be trusted. This research used mixed methods (quantitative and qualitative) through sequential explanation. In this quantitative study, 300 respondents were collected using a voluntary sampling technique, and 900 reviews from three e-commerce sites in Indonesia were selected purposely. The qualitative approach used in-depth interviews with three consumers and a selected seller using a purposive sampling technique. The data was processed by multiple linear regression and descriptive using SPSS 25.0 and Nvivo 12. Research results confirmed that the motivation to read reviews and consumer attitudes toward reviews significantly affect online purchasing decisions, but a third of consumers still rarely provide reviews. Furthermore, based on source credibility, E-WOM quality, and recommendation rating, in the three e-commerce sites, almost half of the reviews studied were hard to be trusted. Based on these findings, this research summarizes the policy implications for consumers and governments and suggests future research.