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Market segments based on the dominant movement patterns of tourists
11 references·5 citing·38 second hop
Market segments based on the dominant movement patterns of tourists (2009)Market segments based on the dominant mov…poLCA : An R Package for Polytomous Variable Latent Class Analysis (2011)poLCA : An R Package for Poly…Handbook of Market Segmentation: Strategic Targeting for Business and Technology Firms (2005)Handbook of Market Segmentati…Handbook of Market Segmentation: Strategic Targeting for Business and Technology Firms (2004)Handbook of Market Segmentati…Emotions in segmentation (2004)Emotions in segmentationLatent Class Cluster Analysis (2002)Latent Class Cluster AnalysisBenefit segmentation of Japanese pleasure travelers to the USA and Canada: selecting target markets based on the profitability and risk of individual market segments (2002)Benefit segmentation of Japan…Applied Latent Class Analysis (2002)Applied Latent Class AnalysisMarket Segmentation: Conceptual and Methodological Foundations (1997)Market Segmentation: Conceptu…Segmentation and Positioning for Strategic Marketing Decisions (1996)Segmentation and Positioning …Principles of Marketing (1972)Principles of MarketingBenefit Segmentation: A Decision-Oriented Research Tool (1968)Benefit Segmentation: A Decis…Deep learning to segment first-time and repeat travelers: Analyzing GPS data (2025)Deep learning to segment firs…Analyzing factors on tourist movement predictability: a study based on social media data (2023)Analyzing factors on tourist …Segmentation by recreation experience in island-based tourism: a case study of Taiwan's Liuqiu Island (2017)Segmentation by recreation ex…An analysis of visitor movement patterns using travel networks in a large marine park, north-western Australia (2011)An analysis of visitor moveme…Spatial and temporal modelling of tourist movements using Semi-Markov processes (2010)Spatial and temporal modellin…A circumplex model of affect. (1980)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)The Behavioral Consequences of Service Quality (1996)Customer delight from theme park experiences (2013)Measuring Emotions in Real Time (2014)Measuring Tourists’ Emotional Experiences (2014)Travel Motivations of Japanese Overseas Travelers: A Factor-Cluster Segmentation Approach (1995)Marketing management: analysis. planning. implementation and control (2000)Clustering of Chinese tourists to Singapore: an analysis of their motivations, values and satisfaction (2005)Tourist Motivation with Sun and Sand Destinations: Satisfaction and the Wom-Effect (2010)Using ski destination choice criteria to segment Finnish ski resort customers (2010)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Modeling Tourist Movements (2006)Introduction to Stochastic Processes (2014)Exploratory Latent Structure Analysis Using Both Identifiable and Unidentifiable Models (1974)Latent Class Analysis (1987)Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach (2013)Backlash, Consensus, Legitimacy, or Polarization (2015)Informative tools for characterizing individual differences in learning: Latent class, latent profile, and latent transition analysis (2017)Latent Structure Analysis. (1969)Investigating population heterogeneity with factor mixture models. (2005)Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept (2009)The impact of urbanization on CO2 emissions: Evidence from developing countries (2011)Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Latent Class Analysis: A Guide to Best Practice (2020)Latent profile analysis: A review and “how to” guide of its application within vocational behavior research (2020)A Clustering Method for Categorical Data in Tourism Market Segmentation Research (2001)Bundling sport events with the host destination (2004)The Development and Validation of a Scale Measuring Consumer/Customer-Derived Generic Typology of Positioning Strategies (2004)A Means-End Chain Model Based on Consumer Categorization Processes (1982)A Means-End Chain Model Based on Consumer Categorization Processes (1982)A Reexamination of the Determinants of Consumer Satisfaction (1996)Discrete Choice Methods with Simulation (2001)Can socio-demographics still play a role in profiling green consumers? A review of the evidence and an empirical investigation (2003)Testing measurement invariance of composites using partial least squares (2016)Classifying Services to Gain Strategic Marketing Insights (1983)Understanding Service Convenience (2002)Effects of innovation types on firm performance (2011)
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References

  • 1972Principles of Marketing5,587 cited
  • 2002Applied Latent Class Analysis2,019 cited
  • 1997Market Segmentation: Conceptual and Methodological Foundations1,866 cited
  • 2002Latent Class Cluster Analysis1,823 cited
  • 2011poLCA : An R Package for Polytomous Variable Latent Class Analysis1,647 cited
  • 1968Benefit Segmentation: A Decision-Oriented Research Tool893 cited
  • 2004Emotions in segmentation348 cited
  • 2002Benefit segmentation of Japanese pleasure travelers to the USA and Canada: selecting target markets based on the profitability and risk of individual market segments209 cited
  • 1996Segmentation and Positioning for Strategic Marketing Decisions195 cited
  • 2004Handbook of Market Segmentation: Strategic Targeting for Business and Technology Firms88 cited
  • 2005Handbook of Market Segmentation: Strategic Targeting for Business and Technology Firms60 cited

Cited by

  • 2010Spatial and temporal modelling of tourist movements using Semi-Markov processes125 cited
  • 2011An analysis of visitor movement patterns using travel networks in a large marine park, north-western Australia123 cited
  • 2017Segmentation by recreation experience in island-based tourism: a case study of Taiwan's Liuqiu Island117 cited

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  • 2025Deep learning to segment first-time and repeat travelers: Analyzing GPS data4 cited
  • 2023Analyzing factors on tourist movement predictability: a study based on social media data4 cited