Acceptance of Intelligent Ticketing Systems in Developing Countries

IF 2.5 3区 经济学 Q2 ECONOMICS
Muhammad Noman Shafique, J. Raudeliūnienė, V. Davidavičienė, J. Pěnčík
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引用次数: 3

Abstract

Information communication technologies bring the revolution into all business sectors, and transportation sector is not an exception. Ticketing system has changed from traditional to intelligent, which provides information and service to the consumer. In developed countries such systems are implemented and operate successfully, while in the developing countries electronic ticketing and other similar innovative solutions face specific challenges. These challenges are related to information era and changes in consumer behaviour, caused by the development of information and communication technologies. In these new conditions the motives of consumers to choose electronic ticketing has become an extremely important factor of success. Lack of integrity of consumer behaviour and technology acceptance (electronic ticketing in particular) was identified in previous scientific research, especially taking into consideration recent conditions of developing countries. The aim of this article is to evaluate the consumers’ behaviour and acceptance of intelligent systems, such as electronic ticketing, in order to identify factors, influencing and encouraging the customers to use electronic ticketing systems. In this study extended technology acceptance model with trust element was used to measure the consumer behaviour. The sample for this research has been taken from China and Pakistan populations and consists of 432 participants from both countries.
发展中国家对智能票务系统的接受程度
信息通信技术给各行各业带来了革命,交通运输业也不例外。票务系统由传统票务系统向智能化票务系统转变,为消费者提供信息和服务。在发达国家,这种系统得到了成功的实施和运作,而在发展中国家,电子票务和其他类似的创新解决办法面临着具体的挑战。这些挑战与信息时代和消费者行为的变化有关,这些变化是由信息和通信技术的发展引起的。在这些新的条件下,消费者选择电子票务的动机已经成为成功的一个极其重要的因素。在以前的科学研究中,特别是考虑到发展中国家最近的情况,发现消费者行为和技术接受(特别是电子票务)缺乏完整性。本文的目的是评估消费者对智能系统(如电子票务)的行为和接受程度,以确定影响和鼓励客户使用电子票务系统的因素。本研究采用扩展的技术接受模型与信任元素来衡量消费者行为。本研究的样本取自中国和巴基斯坦人口,由来自两国的432名参与者组成。
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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来源期刊
CiteScore
5.20
自引率
3.60%
发文量
32
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