AIRCC's International Journal of Computer Science and Information Technology

Open Access Open Access  Restricted Access Subscription Access

Applying Important-Performance Analysis to Home Stay Service Performance


Affiliations
1 Department of Tourism and M.I.C.E., Chung Hua University, 30012 Hsinchu, Taiwan, Province of China
 

In 2019, Taiwan has more than 8,000 home stays, and competition is very intense. In addition to accommodation, catering, and other core services, home stay operators add many unique services to attract consumers, but not every service receives consumer’s recognition. Therefore, through literature review, field survey, interviews with the home stay operators, and consumer survey, this research analyzes service performance by paired-samples t test and Important-Performance Analysis, and the research results can be used as a reference for home stay operators to improve their operational performance, in order to make their servicesmeet the needs of consumers.

Keywords

Home Stay, Core services, Service Performance, Important-Performance Analysis.
User
Notifications
Font Size

  • Tourism Burean, M.O.T.C. Republic of China (Taiwan), (2018) “2017 survey of travel by R.O.C citizens executive summary”, http://admin.taiwan.net.tw/statistic/, Accessed 1 May. 2019.

  • H. C. Huang, H. W. Wang, (2012)“Green Marketing and Accommodation Intention: Take Rural B&Bs as an Example”, Journal of Soil and Water Conservation Technology, Vol. 6, No. 4, pp. 15-23.

  • J. R. Lin, T. F. Kuo,(2011) “Operation Efficiency of the B&B Industry in Taiwan's Sun-Moon Lake Scenic Area: First Evidence”, Service Industry Management Review, Vol. 9, No. 1, pp. 87-103.

  • Tourism Burean, M.O.T.C. Republic of China (Taiwan), (2019) “March 2019 Monthly Report on Home Stay Facilities Operations in Taiwan”, http://admin.taiwan.net.tw/statistic/, Accessed 1 June 2019.

  • Y. C. Lin,(2010) “A Study of Home-Stay Demand Differences among Various Home-Stay Consumption Segments”,Journal of Sport and Recreation Research, Vol. 4, No. 3, pp. 85-105.

  • V. A. Zeithaml, L. L. Berry and A. Parasuraman, (1988) “CommuniCation and Control Processes in the Delivery of Service Quality”, Journal of Marketing, Vol. 52, No.2, pp. 35-48.

  • A. Parasuraman, L. L. Berry and V. A. Zeithaml, (1991) “Refinement and Reassessment of the SERVQUAL Scale“, Journal of Retailing, Vol. 67, No. 4, pp. 420-450.

  • A. Parasuraman, V.A. Zeithaml, and L.L. Berry, (1994) “Reassessment of Expectations as a Comparison Standard in Measuring Service Quality： Implications for Further Research”, Journal of Marketing,Vol. 58, No. 1, pp. 111-124.

  • J.A. Martilla and J.C. James, (1977) “Importance-Performance Analysis”, Journal of Marketing, Vol. 41, No.1, pp.77-79, 1977.

  • S.E Sampson and M.J. Showalter, (1999) “The Performance-Importance Response Function: Observations and Implications”, The Service Industries Journal, Vol. 19, No. 1, pp, 1-25, 1999.

  • Tourism Burean, M.O.T.C. Republic of China (Taiwan), (2012) “Regulations for the Management of Home Stay Facilities”, http://admin.taiwan.net.tw/law/, Accessed 1 June 2012.

  • W.J. Deng, Y. F. Kuo, W. C. Chen, (2008) “Revised Importance-Performance Analysis: Three-Factor Theory and Benchmarking”, The Service Industries Journal, Vol. 28, No. 1, pp. 37-51.

  • S.M. ELseuofi,(2012) “Quality of Service Using PSO Algorithm”,International Journal of Computer Science & Information Technology, Vol. 4, No. 1, pp.165-175.

  • M.A Mahfuz, L.Khanam and W. Hu,(2016)“Examine Website Quality on M-Banking Services Adoption in Bangladesh”,International Journal of Computer Science & Information Technology, Vol.8, No.2, pp. 33-50.

  • M.A Islam, J.Ferdaus, M.A.A khan and M.T Habib, (2018) “Online Legal Service: The Present and Future”, International Journal of Computer Science & Information Technology, Vol. 10, No.5, pp.13-20.

  • A.M Osman and N.I Osman, (2018) “A Comparison of Cache Replacement Algorithms for Video Services”, International Journal of Computer Science & Information Technology, Vol. 10, No.2, pp. 95-111.


Abstract Views: 458

PDF Views: 141




  • Applying Important-Performance Analysis to Home Stay Service Performance

Abstract Views: 458  |  PDF Views: 141

Authors

Han-Chen Huang
Department of Tourism and M.I.C.E., Chung Hua University, 30012 Hsinchu, Taiwan, Province of China

Abstract


In 2019, Taiwan has more than 8,000 home stays, and competition is very intense. In addition to accommodation, catering, and other core services, home stay operators add many unique services to attract consumers, but not every service receives consumer’s recognition. Therefore, through literature review, field survey, interviews with the home stay operators, and consumer survey, this research analyzes service performance by paired-samples t test and Important-Performance Analysis, and the research results can be used as a reference for home stay operators to improve their operational performance, in order to make their servicesmeet the needs of consumers.

Keywords


Home Stay, Core services, Service Performance, Important-Performance Analysis.

References