A Comprehensive Micro, Small, and Medium Enterprise Empowerment Model for Developing Sustainable Tourism Villages in Rural Communities: A Perspective

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1368 - 1368

Published: Feb. 7, 2025

This study investigates the factors driving micro, small, and medium enterprise (MSME) empowerment, tourism development, sustainable villages, focusing on Ponggok Tourism Village as a case study. The purpose is to address gaps in understanding how leadership, innovation, governance, collaboration, capacity building, technology contribute empowering MSMEs achieving sustainability rural contexts. Using mixed-methods approach, combines quantitative analysis of survey data thematic interviews with MSME actors, facilitators, local government officials. Key findings reveal that leadership innovation are critical drivers service quality significantly impacting development. However, governance transparency shows limited direct influence tourism, emphasizing need for better alignment strategies. Additionally, empowerment strongly influences both development creating mutually reinforcing relationship. provides novel framework integrating technological advancements, improvements By highlighting Ponggok’s village potential model, offer practical insights policymakers practitioners seeking enhance through empowerment. Future research could explore scaling this other contexts refining tools tourism.

Language: Английский

Using a Just‐In‐Time Approach in the Green Supply Chain, Taking Into Account CO₂ Emissions, Under Uncertainty in the Pre‐ and Post‐COVID‐19 Situation

Discrete Dynamics in Nature and Society, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

The main objective of this study is to develop a fuzzy‐based approach for building multistage, multiproduct, and multiperiod supply chain network (SCN) after before the COVID‐19 pandemic. proposed model optimizes production distribution planning under uncertainty in stochastic process network. designed help decision‐makers manage green (GSC) their organizations. It was developed using mixed‐integer linear programming (MILP) approach. aims maximize customer satisfaction pre‐ post‐COVID‐19 era by reducing total cost delivery time they face. also estimates production, asset locations, order allocation, inventory levels. Under uncertain conditions, new probabilistic MILP addresses SCN design (SCND) problem. two objectives are concepts ownership, activity‐based costing, just‐in‐time (JIT) production. model’s outputs include quantity goods purchased, produced, inventoried, delivered, transported selection suppliers COVID situation. A numerical example solved above technique given evaluate validate solution Finally, results presented.

Language: Английский