Museumpark Revisit: A Data Mining Approach in the Context of Hong Kong

Authors

  • Chi Fung Lam Department of Finance The Chinese University of Hong Kong
  • Jian Ming Luo Faculty of International Tourism and Management City University of Macau

Keywords:

Museumpark, Museum Demand, Spill-over Effects, Data Mining

Abstract

It is important for tourism managers to understand the synergistic effects between museums in tourism management.  This study raises is concerned with the "museumpark" and re-examines the synergistic effects among museums in Hong Kong.  Utilising online photos from social media, over 2500 photos from more than 300 visitors were collected and analysed quantitatively. Through limited dependent variable regressions, the results show that once a visitor visits one museum in the "museumpark", the probability that this visitor will visit another museum nearby increase significantly.  Based on the result of this study, museum researchers can further investigate the precise synergistic effects between museums.

Author Biography

  • Jian Ming Luo, Faculty of International Tourism and Management City University of Macau
    Jian Ming Luo is an Assistant Professor in the Faculty of International Tourism and Management at City University of Macau. His recent publications have appeared in the highly prestigious international academic journals

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Published

2018-12-09

Issue

Section

Articles

How to Cite

“Museumpark Revisit: A Data Mining Approach in the Context of Hong Kong” (2018) e-Review of Tourism Research, 16(1). Available at: https://ertr-ojs-tamu.tdl.org/ertr/article/view/295 (Accessed: 21 May 2024).

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