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Sustainability Discourse and Influencer Networks in Plant-Based and Dairy Protein Milk Conversations: A Social Network Analysis and Sentiment Mining Study on X (Twitter) Abiali Al-Ikhsan; Asep Miftahuddin; Eka Surachman; Yoga Perdana; Budhi Pamungkas Gautama; Arciana Damayanti
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.659

Abstract

This study examines the discourse of sustainability and social media influencers’ networks concerning X (Twitter) conversations involving plant-based milk and dairy milk with regard to how these two affect consumer perceptions and product marketing. Methods for quantitative and explorative research in combination with social network analysis (SNA) and sentiment mining were applied. The source of data for this research was based on 223 X (Twitter) posts retrieved from SocialX from December 1, 2025, to May 5, 2026. Sentiment analysis was performed using the lexicon approach, which was further weighted based on engagement measures, whereas SNA was performed based on the centrality and community structure of the networks. The results indicate that sustainability discourse is predominantly neutral or positive in nature, with a slightly positive sentiment score. The network demonstrates high levels of centrality, where the nodes with high levels of influence have an effect on information dissemination. The sentiment trends are marked with high levels of variability and occasional occurrences of negative sentiments, which implies that the discourse is driven by certain events. The emotion analysis shows that the emotions expressed are positive in nature but are not varied. The present study makes an important contribution to the literature in terms of incorporating the concepts of sentiment analysis together with social network analysis to explore the role of sustainability discourse in a competitive product environment.
Public Discourse and Digital Customer Experience in Online Motorcycle Taxi Services: A Multimethod Analysis Ferel Rizqia Maulana; Asep Miftahuddin; Eka Surachman; Yoga Perdana; Budhi Pamungkas Gautama; Arciana Damayanti
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.679

Abstract

The digital technology has transformed the platform-based transportation services and now, digital customer experience is playing a pivotal role in the success of the service. But, there is a constant mismatch between what is expected from the services and what the users experience, which can be seen in the social media discourse. The goal of this study is to analyze the construction of digital customer experience, its communication and its impact on online motorcycle taxi services. The research uses a multi-method design, combining sentiment analysis, social network analysis, text network analysis, emotion classification, and trend analysis on social media discourse to get a comprehensive grasp of user-generated discourse and its complexity. The results show that the digital customer experience is multi-dimensional by nature, sometimes being characterized in a positive way and sometimes in a negative way, and the act of speaking publicly of it is a mixture of positive and negative. Furthermore, the discourse is structured, with the main actors being in the center of opinion formation and dissemination in the digital network. These findings enable the theoretical sophistication of the digital customer experience and the digital public sphere, since they show how individual experiences turn into collective perceptions, as a result of their interaction. For the practice, the study highlights the significance of businesses proactively engaging in digital conversations, enhancing their services, and effectively managing digital communities.
Halal Entrepreneurship Intention among Muslim Students: The Mediating Role of Attitude, Risk-Taking Propensity, and Self-Efficacy Iskandar Iskandar; Pupu Saeful Rahmat; Sri Mulyati; Juliana Juliana; Asep Miftahuddin; Janah Sojanah; Shafinar Ismail; Inomjon Qudratov
Indonesian Journal of Halal Research Vol. 8 No. 1 (2026): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v8i1.51983

Abstract

Promoting halal businesses become urgent, as the global halal economy is projected to exceed USD 5 trillion by 2030, and Indonesia is of key contributor. However, despite the high entrepreneurial intention among university students, their participation in halal business activities is comparatively low. This study aims to examine the influence of religiosity on halal entrepreneurial intention in Indonesian Muslim students. Entrepreneurial attitudes, risk-taking propensity, and self-efficacy are considered as mediating variables between religiosity and halal entrepreneurial intention. Data were collected from 378 Muslim students at 47 private universities in West Java and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The structural model explained the variance in halal-based entrepreneurial intentions, with an R-squared of 0.654, indicating that religiosity and the mediator variables together explain approximately 65.4% of the variance in entrepreneurial intentions. The direct path coefficient demonstrates that religiosity significantly affects entrepreneurial attitudes (β = 0.606, p = 0.000), risk-taking propensity (β = 0.591, p = 0.000), self-efficacy (β = 0.653, p = 0.000), and intention to engage in halal entrepreneurship (β = 0.293, p = 0.000). All three mediating paths are statistically significant, with self-efficacy and entrepreneurial attitudes showing the strongest indirect effects (β = 0.156 each), followed by risk-taking propensity (β = 0.091). These results show that self-efficacy is the most influential factor, suggesting that higher religiosity is associated with greater self-confidence, moral resilience, and motivation for running a business in accordance with sharia principles. These findings extend the Theory of Planned Behavior (TPB) into an Islamic context and have implications for universities and policymakers in designing halal entrepreneurship education.
Chatbot Adoption in Indonesian Banking: Exploring the Roles of Trust and Corporate Reputation R. Amalina Dewi Kumalasari; R. Nurafni Rubiyanti; Aldi Akbar; Asep Miftahuddin
JSHP : Jurnal Sosial Humaniora dan Pendidikan Vol. 10 No. 1 (2026)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Negeri Balikpapan.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jshp.v10i1.2800

Abstract

The advancement of artificial intelligence (AI) has significantly transformed the financial services sector, particularly in banking. One of the most widely adopted applications is the chatbot, which enables banks to deliver faster, more efficient, and responsive customer service through automated interactions. Despite its growing implementation, public acceptance of chatbot technology remains varied. Users tend to evaluate these systems not only based on how useful or easy they are to use, but also on how much they trust the system and the organization behind it. This study explores the factors that drive users’ behavioral intention to use banking chatbots by modifying the Technology Acceptance Model (TAM) to incorporate trust in the chatbot system and corporate reputation. The model incorporates perceived ease of use, perceived usefulness, trust in chatbot, and corporate reputation. Data were gathered through an online survey involving 111 respondents who had prior experience using banking chatbot services. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), reveal that perceived ease of use significantly predicts perceived usefulness, while corporate reputation strongly influences trust. Furthermore, both perceived usefulness and trust are found to be significant predictors of behavioral intention to use banking chatbots. Trust also exerts a notable effect on perceived usefulness. These findings suggest that fostering user trust and managing institutional reputation are critical in promoting the sustainable adoption of AI-driven financial technologies. Banks are encouraged to focus not only on improving the technical features of chatbot systems but also on strengthening their credibility and transparency to enhance user confidence and perceived utility