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      선택기반 컨조인트(CBC)를 활용한 피트니스센터 상품 속성 효용과 이용자 선호 구조 분석 연구 : 없음 = A Study on Utility of Fitness Center Service Attributes and User Preference Structure Using Choice-Based Conjoint Analysis (CBC)

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      https://www.riss.kr/link?id=T17402318

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This study applied a choice-based conjoint (CBC) analysis to examine
      the criteria by which fitness center users compare and evaluate
      alternatives in real selection situations. Unlike prior research that has
      mainly focused on perception- or satisfaction-based outcomes, this
      study quantitatively identified how six core attributes—internal
      environment, equipment, price, accessibility, operating hours, and human
      services—shape users’ choice structures by utilizing data that mimic
      actual consumer decision-making.
      Data were collected via an online survey conducted in September
      2025, yielding responses from 400 fitness center users. An L27
      orthogonal design was generated using R to construct nine choice sets,
      each presenting three alternatives from which respondents selected their
      preferred option. After data cleaning and quality checks, the multinomial
      logit model (MNL) was first estimated to derive market-level utility
      structures, followed by the mixed logit model (MIXL) to capture
      individual-level preference heterogeneity. Market segmentation analyses
      were conducted across gender, age, income, exercise frequency, and
      exercise purpose, and market share simulations and optimal-profile
      predictions were performed based on estimated utility coefficients.
      The results indicated that price and accessibility exerted the greatest
      influence on choice behavior, whereas operating hours showed a
      moderate effect. Internal environment, equipment, and human services
      served as essential quality attributes, though their importance increased
      within certain consumer groups. MIXL analysis revealed significant
      variance in individual preferences, demonstrating that fitness center
      choices cannot be explained by a single uniform pattern. Segmentation
      analyses further showed that attribute priorities varied across
      demographic and behavioral characteristics, confirming substantial
      heterogeneity among user groups. Market-share simulations suggested
      that economically efficient configurations yielded the highest selection
      probabilities; however, quality-enhanced profiles showed greater utility
      for specific segments, implying a diversified and stratified demand
      structure.
      By applying CBC to the fitness context, this study moves beyond
      perception-based evaluations and provides an empirically grounded
      utility structure derived from actual choice behavior. The findings offer
      meaningful academic and practical insights for product development,
      segmented market strategies, operational planning, and location decisions
      within the fitness industry.
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      This study applied a choice-based conjoint (CBC) analysis to examine the criteria by which fitness center users compare and evaluate alternatives in real selection situations. Unlike prior research that has mainly focused on perception- or satisfactio...

      This study applied a choice-based conjoint (CBC) analysis to examine
      the criteria by which fitness center users compare and evaluate
      alternatives in real selection situations. Unlike prior research that has
      mainly focused on perception- or satisfaction-based outcomes, this
      study quantitatively identified how six core attributes—internal
      environment, equipment, price, accessibility, operating hours, and human
      services—shape users’ choice structures by utilizing data that mimic
      actual consumer decision-making.
      Data were collected via an online survey conducted in September
      2025, yielding responses from 400 fitness center users. An L27
      orthogonal design was generated using R to construct nine choice sets,
      each presenting three alternatives from which respondents selected their
      preferred option. After data cleaning and quality checks, the multinomial
      logit model (MNL) was first estimated to derive market-level utility
      structures, followed by the mixed logit model (MIXL) to capture
      individual-level preference heterogeneity. Market segmentation analyses
      were conducted across gender, age, income, exercise frequency, and
      exercise purpose, and market share simulations and optimal-profile
      predictions were performed based on estimated utility coefficients.
      The results indicated that price and accessibility exerted the greatest
      influence on choice behavior, whereas operating hours showed a
      moderate effect. Internal environment, equipment, and human services
      served as essential quality attributes, though their importance increased
      within certain consumer groups. MIXL analysis revealed significant
      variance in individual preferences, demonstrating that fitness center
      choices cannot be explained by a single uniform pattern. Segmentation
      analyses further showed that attribute priorities varied across
      demographic and behavioral characteristics, confirming substantial
      heterogeneity among user groups. Market-share simulations suggested
      that economically efficient configurations yielded the highest selection
      probabilities; however, quality-enhanced profiles showed greater utility
      for specific segments, implying a diversified and stratified demand
      structure.
      By applying CBC to the fitness context, this study moves beyond
      perception-based evaluations and provides an empirically grounded
      utility structure derived from actual choice behavior. The findings offer
      meaningful academic and practical insights for product development,
      segmented market strategies, operational planning, and location decisions
      within the fitness industry.

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      목차 (Table of Contents)

      • Ⅰ. 서론 1
      • 1. 연구배경 및 연구의 필요성 1
      • 2. 선행연구에서 본 연구의 필요성 2
      • 3. 연구의 목적 3
      • Ⅱ. 이론적배경 5
      • Ⅰ. 서론 1
      • 1. 연구배경 및 연구의 필요성 1
      • 2. 선행연구에서 본 연구의 필요성 2
      • 3. 연구의 목적 3
      • Ⅱ. 이론적배경 5
      • 1. 피트니스센터와 소비자 선택행동의 개념 5
      • 2. 피트니스센터 선택속성의 주요 요인 7
      • 3. 선택형 컨조인트(CBC) 분석의 개념 13
      • Ⅲ 연구방법 20
      • 1. 속성 및 수준의 구성 20
      • 2. 설문설계 21
      • 3. 통계분석 절차 26
      • 4. 분석모형 33
      • Ⅳ 연구결과 37
      • 1. 컨조인트 분석 결과 37
      • 2. 세분시장별 선택속성 비교분석 40
      • 3. 시장점유율 및 시뮬레이션 분석 44
      • Ⅴ 논의 51
      • 1. 컨조인트 분석 결과에 대한 논의 51
      • 2. 세분시장별 선택속성 비교분석 비교분석에 대한 논의 53
      • 3. 시장점유율 및 시뮬레이션 분석에 대한 논의 54
      • Ⅵ 결론 및 제언 56
      • 1. 결론 56
      • 2. 제언 57
      • 참고문헌 60
      • 부 록 65
      • 국문초록 72
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