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A Study on the Promotion of Rural Tourism to Overcome the Local Extinction Crisis: Focusing on Visitors' Perception of Rural Tourism Trends Using Text Mining

김주연|이서현|이규태|강순화
한국비교정부학회 (The Korean Association For Comparative Government)|2024.12|한국비교정부학보 (Korean Comparative Government Review)|제28권 제4호|pp. 203-226|DOI 10.18397/kcgr.2024.28.4.203

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참고문헌

키워드

텍스트마이닝Semantic Network Analysis체험Experience농촌관광Rural Tourism구조적 등위성TextminingCONCOR Analysis시멘틱 네트워크 분석
주제분류행정학

초록

(Purpose) The purpose of this study is to examine visitor perceptions of rural tourism trends through text mining, semantic network analysis, and CONCOR analysis, focusing on identifying core themes and structural dynamics within rural tourism. (Design/methodology/approach) This study employed frequency analysis, semantic network analysis, and CONCOR analysis over a two-year period (October 2022 to September 2024) using 40 key keywords to explore visitor engagement themes, categorizing rural tourism into four main dimensions: experiential programs, community engagement, agricultural economy, and infrastructure and policy support. (Findings) The analysis revealed that ‘experience’ is the central theme in rural tourism, highlighting the importance of unique, place-based experiential programs, with the four identified dimensions—experiential programs, community engagement, agricultural economy, and policy-supported infrastructure—jointly contributing to sustainable rural tourism and underscoring the need for tailored experiences, active community involvement, and robust policy support for long-term growth. (Research implications or Originality) This study underscores the value of quantitative text mining in revealing structured relationships within rural tourism, offering practical insights into the need for integrated approaches to rural tourism, such as experiential programs and community-driven engagement. The findings provide a foundational framework for policymakers aiming to enhance rural tourism sustainability through data-driven strategies.

Abstract

(Purpose) The purpose of this study is to examine visitor perceptions of rural tourism trends through text mining, semantic network analysis, and CONCOR analysis, focusing on identifying core themes and structural dynamics within rural tourism. (Design/methodology/approach) This study employed frequency analysis, semantic network analysis, and CONCOR analysis over a two-year period (October 2022 to September 2024) using 40 key keywords to explore visitor engagement themes, categorizing rural tourism into four main dimensions: experiential programs, community engagement, agricultural economy, and infrastructure and policy support. (Findings) The analysis revealed that ‘experience’ is the central theme in rural tourism, highlighting the importance of unique, place-based experiential programs, with the four identified dimensions—experiential programs, community engagement, agricultural economy, and policy-supported infrastructure—jointly contributing to sustainable rural tourism and underscoring the need for tailored experiences, active community involvement, and robust policy support for long-term growth. (Research implications or Originality) This study underscores the value of quantitative text mining in revealing structured relationships within rural tourism, offering practical insights into the need for integrated approaches to rural tourism, such as experiential programs and community-driven engagement. The findings provide a foundational framework for policymakers aiming to enhance rural tourism sustainability through data-driven strategies.

참고문헌 (41)

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