Input-Output Model and Decision Path Analysis of Tourism Social Media Marketing

Abstract

As social media's role in tourism decision-making becomes increasingly prominent, the field of tourism marketing urgently requires a scientific input-output evaluation framework and decision support system. Focusing on the core characteristics of tourism social media marketing, this study systematically constructs an input-output model incorporating a multidimensional indicator system and dynamic functional relationships. By defining quantitative dimensions for core elements such as content, interaction, data, and technology, it proposes a comprehensive theoretical framework covering resource input, value conversion, and feedback optimization. Building upon this foundation, the study further designs a situational diagnosis method based on model outputs, a resource adaptation strategy generation mechanism, and a data-driven closed-loop decision path, forming a complete methodological system from theoretical construction to practical application. This provides a theoretical basis and practical guide for tourism enterprises to achieve optimal allocation and dynamic adjustment of marketing resources in complex social environments.