The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption

碩士 === 國立高雄應用科技大學 === 觀光與餐旅管理研究所 === 101 === M-commerce is different from the current business patterns and rapidly growing. This study aims to investigate those passengers’ cognitions on the significance of mobile ticketing APP in terms of service factors while travelling on Taiwan High Speed Rail...

Full description

Bibliographic Details
Main Authors: Liu,Chia-Ling, 劉家伶
Other Authors: Chen, Kaung-Hwa
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/43993287304020752680
id ndltd-TW-101KUAS0720016
record_format oai_dc
spelling ndltd-TW-101KUAS07200162015-10-13T22:12:38Z http://ndltd.ncl.edu.tw/handle/43993287304020752680 The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption 行動商務顧客服務因素探討- 以高鐵手機購票為例 Liu,Chia-Ling 劉家伶 碩士 國立高雄應用科技大學 觀光與餐旅管理研究所 101 M-commerce is different from the current business patterns and rapidly growing. This study aims to investigate those passengers’ cognitions on the significance of mobile ticketing APP in terms of service factors while travelling on Taiwan High Speed Rail (THSR). In order to identify the service factors of mobile ticketing APP better, the qualitative analysis methods are initially employed in this study to interview the employees both from the management units and frontline execution units separately. Apart from this, in order to echo the voices of customers, this study collects comments from customer feedback forum on THSR official website for those using the “T Express Mobile Ticketing Service” and categorizes them into the service factors of mobile ticketing APP. The second stage is mainly based on quantitative analysis, and the study object are which have had the experience of taking Taiwan High Speed Rail customers, interviewing the travelers who are in the Taiwan High Speed Rail station area. At the same time in the second stage, the study proceeds the internet questionnaires. After deleting the 13 invalid questionnaires, there are 523 effective questionnaires in total; the usable rates are 97.94%. The analysis results 6 mobile ticketing service factors which are “decision convenience”, ”transaction convenience”, ”access convenience”, ”using convenience”, ”benefit convenience” and ”post-benefit convenience”. This study also adapts cluster analysis to divide the subjects into three groups: high priority, moderate and potential group, and summarizes the characteristics and differences among these three groups. The contributions of the research are to understand passengers’ perception of importance of the service factors of mobile ticketing, and to attract business operators' attention to the target market, and then to develop marketing strategies. Finally, based on management implications of the study findings, some suggestions were discussed. Chen, Kaung-Hwa 陳光華 2013 學位論文 ; thesis 66 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立高雄應用科技大學 === 觀光與餐旅管理研究所 === 101 === M-commerce is different from the current business patterns and rapidly growing. This study aims to investigate those passengers’ cognitions on the significance of mobile ticketing APP in terms of service factors while travelling on Taiwan High Speed Rail (THSR). In order to identify the service factors of mobile ticketing APP better, the qualitative analysis methods are initially employed in this study to interview the employees both from the management units and frontline execution units separately. Apart from this, in order to echo the voices of customers, this study collects comments from customer feedback forum on THSR official website for those using the “T Express Mobile Ticketing Service” and categorizes them into the service factors of mobile ticketing APP. The second stage is mainly based on quantitative analysis, and the study object are which have had the experience of taking Taiwan High Speed Rail customers, interviewing the travelers who are in the Taiwan High Speed Rail station area. At the same time in the second stage, the study proceeds the internet questionnaires. After deleting the 13 invalid questionnaires, there are 523 effective questionnaires in total; the usable rates are 97.94%. The analysis results 6 mobile ticketing service factors which are “decision convenience”, ”transaction convenience”, ”access convenience”, ”using convenience”, ”benefit convenience” and ”post-benefit convenience”. This study also adapts cluster analysis to divide the subjects into three groups: high priority, moderate and potential group, and summarizes the characteristics and differences among these three groups. The contributions of the research are to understand passengers’ perception of importance of the service factors of mobile ticketing, and to attract business operators' attention to the target market, and then to develop marketing strategies. Finally, based on management implications of the study findings, some suggestions were discussed.
author2 Chen, Kaung-Hwa
author_facet Chen, Kaung-Hwa
Liu,Chia-Ling
劉家伶
author Liu,Chia-Ling
劉家伶
spellingShingle Liu,Chia-Ling
劉家伶
The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
author_sort Liu,Chia-Ling
title The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
title_short The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
title_full The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
title_fullStr The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
title_full_unstemmed The study of M-commerce customer service factor-The case of Taiwan high speed railway App ticketing adoption
title_sort study of m-commerce customer service factor-the case of taiwan high speed railway app ticketing adoption
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/43993287304020752680
work_keys_str_mv AT liuchialing thestudyofmcommercecustomerservicefactorthecaseoftaiwanhighspeedrailwayappticketingadoption
AT liújiālíng thestudyofmcommercecustomerservicefactorthecaseoftaiwanhighspeedrailwayappticketingadoption
AT liuchialing xíngdòngshāngwùgùkèfúwùyīnsùtàntǎoyǐgāotiěshǒujīgòupiàowèilì
AT liújiālíng xíngdòngshāngwùgùkèfúwùyīnsùtàntǎoyǐgāotiěshǒujīgòupiàowèilì
AT liuchialing studyofmcommercecustomerservicefactorthecaseoftaiwanhighspeedrailwayappticketingadoption
AT liújiālíng studyofmcommercecustomerservicefactorthecaseoftaiwanhighspeedrailwayappticketingadoption
_version_ 1718074425553715200