A multi-objective game theory model for sustainable profitability in the tourism supply chain: Integrating human resource management and artificial neural networks

IF 3.6
Amirhossein Torkabadi , Mobina Mousapour Mamoudan , Babek Erdebilli , Amir Aghsami
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引用次数: 0

Abstract

The tourism industry is a major economic sector worldwide, significantly contributing to job creation and GDP growth. However, the rapid expansion of this industry, along with rising environmental and social concerns, underscores the critical need for sustainable strategies. This paper presents a novel multi-objective game theory model that simultaneously optimizes profitability and sustainability in the tourism supply chain. The key innovation of this study lies in the integration of game theory with an artificial neural network (ANN) to predict customer demand, effectively capturing nonlinear consumer behaviors and enabling more accurate decision-making. The model analyzes the dynamic interactions between tour operators and local service providers, identifying Nash Equilibrium outcomes where no player can improve profitability through unilateral strategy adjustments. Additionally, the study introduces a comprehensive approach to government subsidies, evaluating their effectiveness in enhancing sustainability incentives and overall profitability. A detailed sensitivity analysis is conducted to examine how variations in pricing, sustainability efforts, and subsidy rates influence profit margins. Another distinctive contribution of this research is its emphasis on human resource management, highlighting how employee training, green organizational culture, and financial incentives can improve productivity and support sustainability initiatives. The results demonstrate that collaborative strategies, such as resource sharing and joint sustainability efforts between tour operators and local providers, significantly increase profitability. The findings further indicate that a combination of optimal pricing, maximum sustainability efforts, and full government subsidies yields the highest total profit of 6,395 units. Overall, this research offers strategic guidelines for pricing, human resource development, and subsidy policies, providing a robust framework for achieving both profitability and sustainability in the tourism supply chain.
旅游供应链可持续盈利的多目标博弈论模型:人力资源管理与人工神经网络的整合
旅游业是世界范围内的主要经济部门,对创造就业机会和GDP增长做出了重大贡献。然而,该行业的迅速扩张,以及日益严重的环境和社会问题,凸显了对可持续战略的迫切需要。本文提出了一种新的旅游供应链盈利能力和可持续性同时优化的多目标博弈论模型。本研究的关键创新点在于将博弈论与人工神经网络(ANN)相结合来预测客户需求,有效捕捉非线性消费者行为,使决策更加准确。该模型分析了旅游经营者和当地服务提供者之间的动态互动,确定了纳什均衡结果,即没有任何参与者可以通过单方面的策略调整来提高盈利能力。此外,该研究还介绍了一种全面的政府补贴方法,评估了它们在提高可持续性激励和整体盈利能力方面的有效性。进行了详细的敏感性分析,以检查定价,可持续性努力和补贴率的变化如何影响利润率。本研究的另一个独特贡献是其对人力资源管理的强调,强调了员工培训、绿色组织文化和财务激励如何提高生产力和支持可持续发展举措。结果表明,合作策略,如旅游经营者和当地供应商之间的资源共享和共同可持续努力,显著提高了盈利能力。研究结果进一步表明,最优定价、最大可持续性努力和充分的政府补贴相结合,总利润最高,为6,395辆。总体而言,本研究为定价、人力资源开发和补贴政策提供了战略指导,为实现旅游供应链的盈利和可持续性提供了强有力的框架。
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