Tourism, Services, and Customer Experience, Expanding the Tourism Ecosystem to Achieve the 2030 Targets
観光、サービス、顧客体験:2030年目標達成に向けた観光エコシステムの拡大 (AI 翻訳)
S. A. Sarhan
🤖 gxceed AI 要約
日本語
本論文は、2030年の持続可能な開発目標(SDGs)達成を加速するため、観光エコシステムの拡大による機会を特定する系統的文献レビューである。4つのメカニズム(プラットフォームを介した多アクター価値共創、サービス運営改善による観客流の安定化、オムニチャネル体験の設計、持続可能性のガバナンス組み込み)を抽出し、それらとSDGsとの相互関係を示す概念モデルを提示する。観光地管理者や政策立案者への実践的ガイドラインを提供する。
English
This systematic literature review identifies opportunities to accelerate achievement of 2030 Sustainable Development Goals, including decarbonization, by expanding the tourism ecosystem. It extracts four mechanisms: orchestrating multi-actor value co-creation through platforms, improving service operations to stabilize visitor flows, crafting omnichannel journeys balancing personalization and privacy, and embedding sustainability guardrails. The paper provides a conceptual model linking ecosystem expansion to SDGs and offers practical guidelines for destination managers and policymakers.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文は観光エコシステムの拡大によるSDGs達成を論じており、日本の観光政策やDMOの取り組みに示唆を与える。特に、脱炭素化や地域共生の文脈で参考となる点がある。
In the global GX context
This paper contributes to global sustainable tourism discourse by integrating service operations and customer experience with SDG achievement, including decarbonization. It offers a systematic framework that can inform destination management and policy worldwide, especially for balancing visitor pressure and environmental goals.
👥 読者別の含意
🔬研究者:This review provides a comprehensive synthesis of tourism ecosystem expansion mechanisms linked to SDGs, useful for scholars in sustainable tourism and service management.
🏢実務担当者:Destination managers can use the four mechanisms as a guideline for capability building and sustainability integration.
🏛政策担当者:Policymakers can adopt the conceptual model to align tourism strategies with 2030 SDGs, particularly decarbonization and inclusive growth.
📄 Abstract(原文)
Purpose: The purpose of this review paper is to identify opportunities to speed up the achievement of 2030 Sustainable Development Goals, including decarbonization, inclusive growth, jobs quality, value capture, accessibility, safety, and visitor pressure, by expanding the tourism ecosystem, including service systems, service operations, and customer experiences. Method: For conducting this systematic literature review, the PRISMA 2020 protocol has been adapted. Articles reviewed for this paper are collected from different databases, including Scopus, Web of Science, IEEE Xplore, ACM Digital Library, ScienceDirect, SpringerLink, etc. Articles reviewed for this paper are based on the MMAT/CASP model. Findings: The findings of all the articles reviewed for this paper are consistent. There are four ways to expand the tourism ecosystem. They are as follows: 1. Orchestrating Multi-Actor Value Co-creation through Platforms and Interoperable Service Modules; 2. Improving Service Operations to Stabilize Visitor Flows and Experience Quality; 3. Crafting Omnichannel Journeys that Balance Personalization, Trust, Privacy, and Inclusiveness; 4. Embedding Sustainability Guardrails and Governance to Avoid Rebound Effects and Visitor Pressure. Contribution: The contribution of this paper is that it incorporates the concept of the tourism ecosystem, the concept of service operations and customer experiences, the concept of "2030 indicators," and the concept of "2030 sustainable development goals" along with the conceptual model of the interrelationship between the mechanisms of expanding the tourism ecosystem and the 2030 sustainable development goals. Pragmatic Implications: The practical implications of this paper are that it may be used as a guideline for destination managers, SMEs, and government agencies, as a tool for locating areas where capability building is required, considering the impact of equity, labor, and environmental aspects.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.36348/gajhss.2026.v08i02.002first seen 2026-05-05 21:49:41
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。