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The Drivers of Supply Chain Resilience in Developing Economy Tourism: Organizational Culture and Strategic Practices Putranto, Diyan; Halawa, Fransiscus Amonio; Widodo, Rintis Eko; Setiawan, Fahmi; Ajizi , Budi Nurhamdani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3729

Abstract

This descriptive qualitative study addresses a critical theoretical gap by exploring the non-structural drivers of Supply Chain Resilience (SCR) within the highly vulnerable Tourism Supply Chain Management (TSCM) context of developing economies. Employing a multiple case study approach using in-depth interviews with expert decision-makers, the research aimed to uncover the cultural and strategic mechanisms enabling adaptive recovery. Thematic analysis identified three interconnected drivers of SCR: first, Strategic Foresight, which transforms conventional planning by actively integrating technological investments, such as AI and IoT, for predictive visibility and dynamic resource allocation; second, Organizational Culture, which serves as the core agility mechanism by fostering cross-functional collaboration and digital skills necessary for rapid service reconfiguration; and third, Localized Partnering Resilience, which relies on long-term relational assets and mutual trust but is critically reinforced by Verifiable Transparency technologies, such as Blockchain, to mitigate ethical governance risks and build consumer confidence. The study proposes a context-specific framework that positions Organizational Culture and Strategic Foresight as the critical antecedents to Supply Chain Agility, concluding that resilience in volatile markets is fundamentally a human and relational achievement. The findings offer specific, actionable recommendations for managers regarding governance and training, and for policymakers regarding integrated infrastructure and transparency standards.
The Credibility Mechanism: Modelling the Mediating Effect of Blockchain-Enabled Transparency on Sustainable Revenue Premium in Hotel Food & Beverage Supply Chains Putranto, Diyan; Halawa, Fransiscus Amonio; Widodo, Rintis Eko; Setiawan, Fahmi; Ajizi , Budi Nurhamdani
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3730

Abstract

The competitive hospitality sector faces a growing credibility crisis, where rising consumer skepticism regarding "greenwashing" severely limits the ability of hotels to capture the Sustainable Revenue Premium. This research addresses a critical gap in Sustainable Supply Chain Management (SSCM) literature by empirically modeling the "Credibility Mechanism"—the process by which digital technology resolves information asymmetry to monetize sustainability claims. Focusing on the complex Food and Beverage (F&B) supply chains of emerging archipelagic economies, the study employs a rigorous sequential mixed-methods design. First, Design Science Research was utilized to architect a permissioned cross-chain blockchain framework integrating Zero-Knowledge Proofs (ZKPs) for verifiable, private provenance. Subsequently, Partial Least Squares-Structural Equation Modeling (PLS-SEM) confirmed that blockchain-enabled transparency significantly mitigates perceived greenwashing risk, which in turn fosters Customer Trust. Critically, the study validates financial outcomes using a Stochastic Frontier Bayesian Model (SFBM) applied to longitudinal hotel data. Results demonstrate that adopting this traceable framework yields an 8.4% increase in F&B revenue efficiency and sustains a 5.1% price premium for ethically sourced items. These findings provide profound theoretical advancements by redefining SCM risk mitigation through Information Governance rather than material redundancy. Managerially, the research offers a data-driven justification for high-tech investment, proving that verifiable transparency is a direct revenue driver essential for competitive advantage in opaque markets.