Mufaddhal, Zaidan
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Empowerment Strategy for Muslim Entrepreneur Community in Jambi City Syaifudin, Alfi; Indrawijaya, Sigit; Ridhwan, Ridhwan; Mufaddhal, Zaidan
Najaha Iqtishod: Journal of Islamic Economic and Finance Vol. 4 No. 1 (2023): 2023
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jief.v4i1.26516

Abstract

This research aims to analyze and create alternative strategies for the GENPRO and IPEMI communities as communities oriented towards Muslim entrepreneurs in increasing the empowerment of their members. The type of research is descriptive quantitative, and uses the Quantitative Strategic Planning Matrix (QSPM) method. By using three strategy formulations, namely the data collection stage, the data matching stage, and the decision-making stage. It is hoped that the results of this study can become the basis for policies in increasing the empowerment of community members. The results showed that from the calculation of IFE and EFE analysis based on 65 respondents, the main strength is the routine coaching of members, while the main weakness is insufficient facilities and infrastructure. And the main opportunity is that members always participate in determining the direction of the community, while the main threat is that many members join more than one community. As well as the results of the QSPM calculation by 4 Respondents as those who determine the priority of policies to be taken, 7 strategies were chosen with the first priority being to accommodate cooperation between members by integrating all potential and productive resources with a TAS score of 5.596.
Artificial Intelligence and Service Personalization in Hospitality: Impacts on Guest Loyalty Mufaddhal, Zaidan
Advances in Tourism Studies Vol. 3 No. 1 (2025): Advances in Tourism Studies
Publisher : Centre for Tourism Studies and Journal Publication of Sekolah Tinggi Pariwisata Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ats.v3i1.70

Abstract

This study investigates the role of artificial intelligence in driving service personalization and its subsequent effects on guest loyalty within the hospitality industry. Drawing on service quality and technology acceptance theories, the research examines how AI service quality and AI transparency influence perceived personalization, with privacy concern as a moderating factor. A survey of 412 hotel guests who interacted with AI-enabled services was analyzed using partial least squares structural equation modeling (PLS-SEM). The findings reveal that both AI service quality and AI transparency significantly enhance perceived personalization, which in turn strongly predicts guest loyalty intentions. Mediation analysis confirms that perceived personalization serves as the key mechanism linking AI attributes to loyalty outcomes. Moreover, moderation tests indicate that privacy concern weakens the positive effects of AI service quality and transparency on personalization, underscoring the boundary conditions of AI adoption in hospitality. The study contributes to hospitality and tourism literature by providing empirical evidence that AI-driven personalization is a double-edged innovation, capable of strengthening loyalty while constrained by privacy concerns. Practical implications highlight the importance of investing in transparent, high-quality AI systems and balancing personalization with ethical data practices to foster long-term guest relationships.