EXPLORING MOTIVATION AND TOURIST TYPOLOGY: THE CASE OF KOREAN GOLF TOURISTS TRAVELLING IN THE ASIA PACIFIC. Jae Hak Kim

Similar documents
The Sustainability of Atlantic Salmon (Salmo salar L.) in South West England

A STUDY ON EQUESTRIAN TOURISTS MOTIVATION AND INVOLVEMENT

The learning of complex whole body activity (Downhill skiing) by simulation

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

THE REFEREEING IN BASKETBALL- TRENDS AND OPTIMIZATION STRATEGIES OF THE TRAINING AND PERFORMANCE OF REFEREES IN A DIVISION

Kevin Manaugh Department of Geography McGill School of Environment

AN EXAMINATION OF PREPAREDNESS OF COMMIUINITY FOR COMMUNITY BASED TOURISM SRI LANKA A CASE STUDY OF KALPITIYA TOURISM AREA

Using a Mixed-Method Approach to Evaluate the Behavioural Effects of the Cycling City and Towns Programme

Appendix 13 Rowing and sculling in the sea

Appendix 9 SCUBA diving in the sea

Chapter 1: Introduction to the study. 1

RESEARCH Massachusetts Recreational Boater Survey. Project Summary

Investigating route-choice by recreational walkers in the English Lake District. Nick Davies

Contents. Preface Contents Legal Declaration Document Sources Definitions and Interpretations Overview...

Appendix 22 Sea angling from a private or chartered boat

Chapter 3 - Research Methodology. 3.3 Conceptual framework (Research design)

A Slice of Tourism: The Nature, Dimensions and Geographies of International Golf Tourism in New Zealand

A Study on Weekend Travel Patterns by Individual Characteristics in the Seoul Metropolitan Area

THE ROLE OF THE LEARNING ORGANISATION PARADIGM IN IMPROVING INTELLECTUAL CAPITAL JACO JOHANNES PIENAAR

The Walkability Indicator. The Walkability Indicator: A Case Study of the City of Boulder, CO. College of Architecture and Planning

TELECOMMUNICATIONS DEMAND IN THEORY AND PRACTICE

IMPROVED SAFETY SURFACE ACCESS AT LOW COST AIRPORTS: KUALA LUMPUR INTERNATIONAL AIRPORT, MALAYSIA CASE STUDY

A Snapshot of the Canoeing & Kayaking Travel Market in North America

Active Travel and Exposure to Air Pollution: Implications for Transportation and Land Use Planning

ELITE PLAYERS PERCEPTION OF FOOTBALL PLAYING SURFACES

Appendix 21 Sea angling from the shore

Golfers in Colorado: The Role of Golf in Recreational and Tourism Lifestyles and Expenditures

Title: Modeling Crossing Behavior of Drivers and Pedestrians at Uncontrolled Intersections and Mid-block Crossings

PROJECT NAME: Bicycle Empowerment Programme (BEP) PROJECT DURATION: 1 July 2015 to 31 March 2016

Journal of Chemical and Pharmaceutical Research, 2014, 6(6): Research Article

Cairo Traffic Congestion Study Phase 1

ADB Sri Lanka Resident Mission

The Right Invitation: A Comprehensive Research Study to Guide the Golf Industry to Meaningfully Increase Women s Golf Participation and Satisfaction

TRAFFIC STUDY GUIDELINES Clarksville Street Department

Consuming Nirvana: An exploration of surfing tourist space.

Women and Marathons: A Low Participation. Recreation Research Proposal. PRM 447 Research and Evaluation in PRM. Jaimie Coastman.

Evaluating the Influence of R3 Treatments on Fishing License Sales in Pennsylvania

EUROPASS SUPPLEMENT TO THE DIPLOMA OF

Centre for Transport Studies

SOCIALGROUPS PREFERENCES RELATION TO MOTIVATIONS AND ABILITYLEVELSOF WHITEWATER KAYAKERS. Methods/ Instrument

Employing Geographical Information Systems in Fisheries Management in the Mekong River: a case study of Lao PDR Kaviphone Phouthavongs

Integration of human factors in pedestrian crossing choice models

Social and Cultural Impact of the London 2012 Olympic Games: a lecturers and students perspective

Thursday 18 th January Cambridgeshire Travel Survey Presentation to the Greater Cambridge Partnership Joint Assembly

THE DEVELOPMENT OF MALAYSIAN HIGHWAY RAIL LEVEL CROSSING SAFETY SYSTEMS: A PROPOSED RESEARCH FRAMEWORK. Siti Zaharah Ishak

ESP 178 Applied Research Methods. 2/26/16 Class Exercise: Quantitative Analysis

Travel Behaviour Study of Commuters: Results from the 2010 Dalhousie University Sustainability Survey

MANAGING GEESE WITH RECREATIONAL HUNTING

Determining bicycle infrastructure preferences A case study of Dublin

Longitudinal analysis of young Danes travel pattern.

Human factors of pedestrian walking and crossing behaviour

Organizational Culture and Commitment

Journal of Emerging Trends in Computing and Information Sciences

STALLING BEHAVIOUR OF A CONTRA-ROTATING AXIAL COMPRESSOR STAGE

Autonomous blimp control with reinforcement learning

Understanding the extrinsic and intrinsic motivations of open water swimmers

Bicycle Helmet Use Among Winnipeg Cyclists January 2012

Pedestrian traffic flow operations on a platform: observations and comparison with simulation tool SimPed

The Effects of Chronic Creatine Supplementation on Performance and Body Composition of Female Athletes. by Megan Brenner

Running head: DATA ANALYSIS AND INTERPRETATION 1

SANTA CLARA COUNTYWIDE BICYCLE PLAN August 2008

A Critical Review of International Road Safety Databases

Sample Copy. Not For Distribution.

Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA

Assessment of socio economic benefits of non-motorized transport (NMT) integration with public transit (PT)

GOLF TOURISM IN NORTHERN IRELAND Results Presentation February 2017

Prediction model of cyclist s accident probability in the City of Malang

INTRODUCING GOLF TOURISM TRENDS IN GOLF TOURISM. How much do international golf tourists spend on their trip in New Zealand?

Legendre et al Appendices and Supplements, p. 1

A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L

Paper submitted to the Scottish Transport Studies Group (STSG) April 2004

Surfing Tourism Destination Feasibility Study, Kincardine, Ontario

The Limassol SUMP Planning for a better future. Apostolos Bizakis Limassol, May 16, th Cyprus Sustainable Mobility and ITS conference

Research Note. Testing a Self-Classification Measure of Recreation Specialization Among Anglers

U.S. Bicycling Participation Study

When Bad Things Happen to Good Property

Travel Demand Forecasting on Bicycle Route under Expressway in Thailand

Report Subject: Netball participation and social class

The calibration of vehicle and pedestrian flow in Mangalore city using PARAMICS

TOKYO METROPOLITAN UNIVERSITY

THE IMPACT OF DOING NOTHING Stewart Darling Non-Executive Director

Social Media Marketing in Golf Clubs: Can Social Media contribute to golf club business development?

Capital Intensive Sports: preliminary research on the sources of innovation in Scuba Diving and Golf

University of Victoria Campus Cycling Plan Terms of Reference. 1.0 Project Description

MARKET SEGMENTATION PROFILE EXECUTIVE SUMMARY

INFORMATION REPORT. Chair and Members Emergency and Community Services Committee. Skateboard Park Study (CES17031) (City Wide)

1.1 The size of the search space Modeling the problem Change over time Constraints... 21

Big Blue Adventure Event Analysis UTC Tourism Center October 2016

Planning and Design of Proposed ByPass Road connecting Kalawad Road to Gondal Road, Rajkot - Using Autodesk Civil 3D Software.

April 10, Justice Research and Statistics Association 720 7th Street, NW, Third Floor Washington, DC

Urban forms, road network design and bicycle use The case of Quebec City's metropolitan area

Golf Travel Insights 2012

The 1998 Arctic Winter Games A Study of the Benefits of Participation

The Effect of a Seven Week Exercise Program on Golf Swing Performance and Musculoskeletal Screening Scores

SoundCast Design Intro

AN EVALUATION OF THE VANCOUVER PUBLIC BIKESHARE PROGRAM. June

The Value of Cycle Tourism

Use of Skywalks in Mumbai City

Factors Associated with the Bicycle Commute Use of Newcomers: An analysis of the 70 largest U.S. Cities

Exposure Work Commuting: Case Study among Commuting Accidents in Klang Valley, Malaysia

Transcription:

EXPLORING MOTIVATION AND TOURIST TYPOLOGY: THE CASE OF KOREAN GOLF TOURISTS TRAVELLING IN THE ASIA PACIFIC Jae Hak Kim Thesis submitted for the degree of Doctor of Philosophy at the University of Canberra August 2007

Jae H. Kim 2007

This page has been omitted for privacy reasons.

ABSTRACT Koreans are increasingly participating in overseas golf holidays in the Asia Pacific region and this trend is expected to continue. The popularity of golf holidays has been linked to the growing demands of special interest tourism and sport tourism where tourists seek to satisfy specific travel needs and wants to meet their travel motivations. Research into travel motivation using the concept of the push and pull framework is therefore a focus of study in tourism research. To date, little or no research has examined travel motivation and tourist typology using the push and pull framework in the markets of special interest tourism, sport tourism, or golf tourism. This thesis fills the gap in the literature and contributes to knowledge of tourist motivation and typology. The aims of the research were therefore three-fold: to identify the push and pull factors of golf travel motivation, to classify heterogeneous golf tourists into homogeneous groups, and to profile the clusters with respect to socio-demographics, golf related behaviour and travel characteristics, destination attributes, and destination preferences. This was achieved by collecting empirical data on Korean golf tourists travelling in the Asia Pacific region. The methodology comprised both qualitative research based on semi-structured interviews and quantitative research based on self-completed questionnaires. A principal component factor analysis was employed to identify five push based socio-psychological motivations and seven pull based destination attributes. A cluster analysis was then conducted to classify golfers into three different clusters, namely, Golf-intensive Golfers, Multi-motivated Golfers, and Companion Golfers. The golf clusters were then profiled based on the findings in respect to socio-demographics, golf related behaviour and travel characteristics, destination attributes, iv

and destination preferences. A cross tabulation with chi-square tests and analysis of variance (ANOVA) were used to test the hypotheses of this thesis. Results revealed that golf tourists were not homogeneous in their push based sociopsychological travel motivations. Their profiles are theoretically and statistically feasible because the research tested hypotheses indicate that each cluster had both similarities and differences in socio-demographics, golf related behaviour and travel characteristics, destination attributes, and destination preferences. This suggests that marketing strategies should target both the different and similar aspects of golf travel behaviour. The research is of benefit not only to academics and practitioners in the study of travel motivations and tourist typology in the field of special interest tourism, sport tourism, and, in particular, golf tourism, but also to tourism marketers and tour operators in the development, promotion and packaging of golf holiday products. v

TABLE OF CONTENTS ABSTRACT... iv LIST OF TABLES... x LIST OF FIGURES... xi CHAPTER ONE INTRODUCTION... 1 1.1 Background to and Justification for the Research... 2 1.2 Research Problem... 7 1.3 Research Questions... 9 1.4 Research Aims... 10 1.5 Research Approach and Methodology... 11 1.6 Scope and Key Assumptions... 12 1.7 Importance of the Current Study... 13 1.8 Key Definitions to be used in this Thesis... 14 1.9 Thesis Outline... 17 CHAPTER TWO TRAVEL TRENDS AND GOLF TOURISM... 20 2.1 Introduction... 20 PART 1: STUDIES OF KOREAN OUTBOUND TOURISM... 21 2.2 Travel in the Asia Pacific Region... 22 2.3 Golf Travel Trends in the Asia Pacific Region... 24 PART 2: STUDIES OF GOLF TOURISM... 27 2.4 Golf Travel Emerges from Special Interest Tourism and Sport Tourism... 27 2.4.1 Special Interest Tourism and Sport Tourism... 28 2.4.2 Niche Markets in Special Interest Tourism and Sport Tourism... 32 2.5 Defining Golf Tourism... 39 2.5.1 Spatial and Temporal Aspects... 40 2.5.2 Industrial Aspect... 41 2.5.3 Motivational Aspect... 42 2.5.4 Golf Tourism: A Working Definition... 44 2.6 Golf and the Golf Tourism Market... 44 2.6.1 Golf History... 44 2.6.2 Golf Tourism Market... 46 2.6.3 Golf as Travel Motivator... 47 2.7 Key Factors in the Popularity of Korean Overseas Golfing... 48 2.7.1 Costs and Learning... 48 2.7.2 Escape and Relax... 49 2.7.3 Social Interaction and Business Opportunity... 51 2.7.4 Easy Access, High Quality Golf Courses, and Natural Attractions... 52 2.8 Profile of Golf Tourists... 53 2.8.1 General Profile... 53 2.8.2 Profile of Golf Tourists in Segmentation... 55 2.9 Identification of the Current Tourism Research Problem... 65 2.10 Chapter Summary... 67 vi

CHAPTER THREE CONCEPTUAL FRAMEWORK AND RESEARCH PROPOSITIONS... 68 3.1 Introduction... 68 SECTION 1: STUDIES OF TRAVEL MOTIVATION... 69 3.2 Defining Motivation... 69 3.3 Travel Motivation in the Tourism System... 71 3.4 Push and Pull Theory... 73 3.4.1 Push based Socio-psychological Travel Needs... 74 3.4.2 Pull based Destination Attributes... 80 3.4.3 Previous Studies Using Push and Pull Framework... 84 SECTION 2: STUDIES OF TOURIST TYPOLOGY... 89 3.5 Terms of Tourist Typology and Segmentation... 89 3.5.1 Approaches to the Tourist Typologies... 90 3.5.2 Tourist Typologies based on Travel Motivation... 92 3.5.3 Previous Empirical Studies Using Travel Motivation... 96 3.6 Marketing Implications of Travel Motivations and Tourist Typologies... 105 3.7 Building the Conceptual Framework and Research Propositions... 110 3.8 Chapter Summary... 115 CHAPTER FOUR RESEARCH DESIGN AND METHODOLOGY... 117 4.1 Introduction... 117 4.2 Research Aims and Objectives... 118 4.3 Research Hypotheses... 119 4.4 Research Paradigms and the Design of Golf Tourism Research... 120 4.4.1 Research Paradigms and the Research Foundations... 120 4.4.2 Research Paradigms and Approaches... 121 4.4.3 Designing Golf Tourism Research... 123 PHASE 1: QUALITATIVE DESIGN; SEMI-STRUCTURED PERSONAL INTERVIEWES... 125 4.5 Research Problems and Design... 126 4.5.1 Choosing the Semi-structured Personal Interviews... 127 4.5.2 Sampling Frame and Selection of Interviewees... 129 4.5.3 Obtaining Interview Consent and Responses... 130 4.5.4 Designing Interview Questions and Guide... 131 4.5.5 Conducting the Semi-structured Personal Interviews... 134 4.5.6 Analysing the Data and Identifying Variables... 136 4.5.7 Strengthening Variables and Limitations... 139 PHASE 2: QUANTITATIVE DESIGN; SELF-COMPLETED QUESTIONNAIRE SURVEY... 141 4.6 Design of the Study... 141 4.6.1 Instrumentation... 141 4.6.2 Pilot Study... 144 4.6.3 Population and Sample... 145 4.6.4 Survey Method and Data Collection... 147 4.6.5 Data Entry and Response... 148 4.6.6 Data Analysis... 150 4.6.7 Strengths and Limitations of the Quantitative Research... 153 4.7 Ethical Considerations... 154 4.8 Research Framework... 156 4.9 Chapter Summary... 160 vii

CHAPTER FIVE FACTOR CLUSTER ANALYSIS... 162 5.1 Introduction... 162 SECTION 1: FACTOR ANALYSIS; DELINEATION OF TRAVEL MOTIVATION... 163 5.2 Delineation of Golf Travel Motivations... 163 5.2.1 Objectives and Design... 164 5.2.2 Push and Pull Variables Assessment... 164 5.2.3 Extraction of the Push and Pull Factors... 167 5.2.4 Rotation and Interpretation of the Push and Pull Factors... 169 5.2.5 Labelling the Push and Pull Factors... 173 SECTION 2: CLUSTER ANALYSIS; CLASSIFICATION OF GOLF TOURISTS... 180 5.3 Classification of Respondents... 180 5.3.1 Objectives... 181 5.3.2 Data Assessment... 182 5.3.3 Clustering Algorithm Determination... 183 5.3.4 Hierarchical Cluster Analysis... 184 5.3.5 Non-hierarchical Analysis... 188 5.3.6 Cluster Interpretation... 190 5.3.7 Cluster Validation... 195 5.4 Chapter Summary... 199 CHAPTER SIX FINDINGS AND TESTING HYPOTHESES... 201 6.1 Introduction... 201 6.2 Socio-demographic Variables... 202 6.2.1 Hypothesis Testing (H1)... 207 6.3 Golf Related Behaviour and Travel Characteristics... 208 6.3.1 Golf Related Behaviour... 208 6.3.2 Golf Related Travel Characteristics... 212 6.3.3 Hypothesis Testing (H2)... 222 6.4 Pull based Destination Attributes... 223 6.4.1 Hypothesis Testing (H3)... 227 6.5 Golf Holiday Destination Preference... 229 6.5.1 Hypothesis Testing (H4)... 231 6.6 Chapter Summary... 233 CHAPTER SEVEN SUMMARY OF FINDINGS, DISCUSSION, AND IMPLICATIONS... 234 7.1 Introduction... 234 7.2 A Summary of the Study s Findings... 235 7.3 Socio-demographics... 238 7.3.1 Differences among the Three Golf Clusters... 238 7.3.2 Similarities among the Three Golf Clusters... 240 7.4 Golf Related Behaviour and Travel Characteristics... 240 7.4.1 Differences among the Three Golf Clusters... 241 7.4.2 Similarities among the Three Golf Clusters... 245 7.5 Pull based Destination Attributes... 247 7.5.1 Differences among the Three Golf Clusters... 249 7.5.2 Similarities among the Three Golf Clusters... 251 7.6 Destination Preference for Golf Holidays... 253 viii

7.6.1 Similarities and Differences among the Three Golf Clusters... 253 7.7 Implications for Golf Tourism Marketing... 257 7.8 Chapter Summary... 263 CHAPTER EIGHT CONCLUSIONS AND FUTURE DIRECTIONS... 264 8.1 Introduction... 264 8.2 Identifying the Push and Pull Factors... 264 8.3 Classifying the Heterogeneous Golf Tourists... 265 8.4 Profiling Heterogeneous Golf Tourist Behaviour... 266 8.4.1 Different Aspects among the Golf Clusters... 267 8.4.2 Similar Aspects among the Golf Clusters... 269 8.5 Limitations and Future Directions... 269 8.6 Thesis Contribution to Special Interest, Sport, and Golf Tourism... 272 8.7 Conclusion... 275 APPENDICES... 277 BIBLIOGRAPHY... 296 ix

LIST OF TABLES Table 2.1 Koreans major holiday destinations in the Asia Pacific region, 2000-2005... 22 Table 2.2 Koreans travelling overseas carrying golf-clubs, 2000-2004... 25 Table 2.3 Review of previous studies: a typology of golf tourists... 56 Tanle 3.1 Review of previous studies: tourist typologies based on travel motivation... 96 Table 4.1 Awareness and consideration of interview questions... 132 Table 4.2 Emerging themes after data organisation according to similarities... 133 Table 4.3 Seven popular golf holiday destinations... 138 Table 5.1 A total of 20 push variables used to assess factor analysis... 165 Table 5.2 A total of 28 pull variables used to assess factor analysis... 166 Table 5.3 Factor extraction with an eigenvalue and total variance explained... 168 Table 5.4 Coefficients after a varimax rotation for push factors with 20 variables... 171 Table 5.5 Varimax rotation for push factors with 19 variables (PS13 deleted)... 172 Table 5.6 Varimax rotation for pull factors with 28 variables... 173 Table 5.7 Labelling the socio-psychological push factors... 174 Table 5.8 Labelling the destination attributes of pull factors... 177 Table 5.9 Five cluster variates used for the typology... 182 Table 5.10 Agglomeration coefficient and clustering schedule... 185 Table 5.11 Stopping rule applied using Ward s method for a set of cluster solution... 186 Table 5.12 Initial seed points from the hierarchical analysis... 187 Table 5.13 Final cluster centres... 188 Table 5.14 Assessment and interpretation of the three cluster... 190 Table 5.15 Summary of MDA of three golf clusters testing significance... 195 Table 5.16 Classification results of MDA validating the results... 196 Table 5.17 Discriminating results between clusters and factors... 199 Table 6.1 Gender... 203 Table 6.2 Age group... 204 Table 6.3 Education... 205 Table 6.4 Occupation... 206 Table 6.5 Annual household incomes... 207 Table 6.6 Age a player commenced golf... 209 Table 6.7 Golf handicap (strokes)... 210 Table 6.8 Golf membership card... 211 Table 6.9 Golf travel frequency to the Asia Pacific region... 212 Table 6.10 Country where spend the longest golf trip... 213 Table 6.11 Golf travel month... 214 Table 6.12 Golf travel length... 215 Table 6.13 Number of different golf courses played... 216 Table 6.14 Golf travel expenditure... 217 Table 6.15 Golf travel party... 218 Table 6.16 Golf travel mode... 219 Table 6.17 Accommodation used... 220 Table 6.18 Golf-clubs used... 220 Table 6.19 Travel information source... 221 Table 6.20 Means of pull factors among the three golf clusters ANOVA results... 223 Table 6.21 Destination preferences in the Aisa Pacific region... 229 Table 7.1 Summary of heterogeneous golf travel behaviour... 236 x

LIST OF FIGURES Figure 2.1 Golf tourism considered: patial, temporal, industrial and motivational aspects.. 40 Figure 3.1 Understanding travel motivation within the tourism system... 71 Figure 3.2 Conceptual framework: exploring the heterogeneous golf tourist behaviour... 111 Figure 4.1 Foundations of research... 120 Figure 4.2 Theoretical construction of the research paradigm... 122 Figure 4.3 Design of the qualitative study... 127 Figure 4.4 Research framework: golf tourism... 158 Figure 5.1 Steps undertaken to delineate push and pull factors of golf tourists... 163 Figure 5.2 Steps undertaken to classify golf tourists based on the push motivations... 181 Figure 5.3 Means of factor scores for each cluster... 189 Figure 5.4 Mean score of push factors for each cluster... 192 Figure 5.5 Plots of each cluster around the group centroid... 197 Figure 6.1 Plots of mean scores for the pull factors of each cluster... 228 Figure 6.2 Destination preferences among the three golf clusters... 232 Figure 8.1 Replicate the conceptual framework from Figure 3.2... 273 Figure 8.2 Replicate the research framework from Figure 4.4... 274 xi