Adoption factors of online-web railway ticket reservation service (A case from Indonesia)

Indrawati, Sofiar Yusliansyah
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引用次数: 9

Abstract

PT. Kereta Api Indonesia (KAI) is the only company that has been given an authority by government to provide, manage and organize railway transportation in Indonesia. The railway industry in Indonesia started during the colonial in 1864 and in 2015 KAI had served 326 million passengers with an average growth in the number of 330.000 passengers annually. One of the biggest challenge faced by KAI is the improvement of pre-trip service quality. One of the improvement of this service is the development of Rail Ticketing System by using a web-based information technology platform. The online-web ticket reservation service (OTRS) had been launched since 2012 with 42 partner channels available on the internet. However — since its first launched in 2012 — the usage of OTRS had only 27% reservation compared to 67% ticket reservations from ticket counter at railway station. In order to increase the use of OTRS, finding factors that affect the behavior of OTRS user is needed. Based on Unified Theory of Acceptance and Use of Technology (UTAUT) 2 Model and modified UTAUT 2, this study proposed a new modified model toward the service. The data to test the model were collected from 682 valid respondents. The data were analyzed by using SmartPLS2.0 software and the result showed that the independent variables Performance Expectancy, Social Influence, Facilitating Condition, Hedonic Motivation and Perceived Risk had significant influence on Behavioral Intention and Facilitating Condition, Habit and Behavioral Intention had significant influence on the Use Behavior.
铁路网上订票服务的采用因素(以印尼为例)
印尼Kereta Api (KAI)是印尼唯一一家获得政府授权提供、管理和组织铁路运输的公司。印度尼西亚的铁路行业始于1864年的殖民时期,2015年KAI为3.26亿乘客提供服务,平均每年增长33万人次。KAI面临的最大挑战之一是提高起程前服务质量。其中一项改进是利用基于网络的信息技术平台开发铁路票务系统。在线在线订票服务(OTRS)自2012年推出以来,在互联网上有42个合作渠道。然而,自2012年首次推出以来,OTRS的预订率仅为27%,而火车站售票处的预订率为67%。为了增加OTRS的使用,需要找到影响OTRS用户行为的因素。基于UTAUT (Unified Theory of Acceptance and Use of Technology) 2模型和修改后的UTAUT 2模型,提出了一种新的服务修改模型。检验模型的数据收集自682名有效受访者。采用SmartPLS2.0软件对数据进行分析,结果表明:表现期望、社会影响、便利条件、享乐动机和感知风险自变量对行为意向和便利条件有显著影响,习惯和行为意向对使用行为有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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