Exploring digital innovation in smart tourism destinations: insights from 31 premier tourist cities in digital China

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jin Xu, Pei Hua Shi, Xi Chen
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引用次数: 0

Abstract

Purpose This study aims to unveil the pivotal components and implementation pathways in the digital innovation of smart tourism destinations, while constructing a theoretical framework from a holistic perspective. Design/methodology/approach The research focuses on 31 significant urban smart tourism destinations in China. Secondary data was collected through manual search supplemented by big data scraping, whereas primary data was obtained from interviews with municipal tourism authorities. Grounded theory was used to theoretically construct the phenomenon of digital innovation in smart tourism destinations. Findings This research has formulated a data-driven knowledge framework for digital innovation in smart tourism destinations. Core components include digital organizational innovation, smart data platforms, multi-stakeholder digital collaborative ecosystem and smart tourism scenario systems. Destinations can achieve smart tourism scene innovation through closed innovation driven by smart data platforms or open innovation propelled by a multi-stakeholder digital collaborative ecosystem. Practical implications Based on insights from digital innovation practices, this study proposes a series of concrete recommendations aimed at assisting Destination Management Organizations in formulating and implementing more effective digital innovation strategies to enhance the sustainable digital competitiveness of destinations. Originality/value This study advances smart tourism destination innovation research from localized thinking to systemic thinking; extends digital innovation theory into the realm of smart tourism destination innovation; repositions the significance of knowledge in smart tourism destination innovation; and constructs a comprehensive framework for digital innovation in smart tourism destinations.
探索智慧旅游目的地的数字化创新:数字中国 31 个重点旅游城市的启示
目的 本研究旨在揭示智慧旅游目的地数字化创新的关键要素和实施路径,同时从整体视角构建理论框架。通过人工搜索辅以大数据搜刮收集二级数据,通过与市级旅游主管部门访谈获得一级数据。研究结果本研究建立了一个数据驱动的智慧旅游目的地数字化创新知识框架。核心内容包括数字化组织创新、智能数据平台、多利益相关方数字化协作生态系统和智慧旅游场景系统。目的地可通过智能数据平台驱动的封闭式创新或多利益相关方数字协作生态系统推动的开放式创新实现智慧旅游场景创新。实践意义本研究基于对数字创新实践的洞察,提出了一系列具体建议,旨在协助目的地管理组织制定和实施更有效的数字创新战略,以增强目的地的可持续数字竞争力。原创性/价值本研究将智慧旅游目的地创新研究从局部思维推进到系统思维;将数字创新理论扩展到智慧旅游目的地创新领域;重新定位知识在智慧旅游目的地创新中的意义;构建智慧旅游目的地数字创新的综合框架。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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