Exploring Chinese passenger switching intentions toward airline self-service technology from a push–pull–mooring perspective

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS
Kybernetes Pub Date : 2024-06-04 DOI:10.1108/k-01-2024-0174
Jung-Chieh Lee
{"title":"Exploring Chinese passenger switching intentions toward airline self-service technology from a push–pull–mooring perspective","authors":"Jung-Chieh Lee","doi":"10.1108/k-01-2024-0174","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.</p><!--/ Abstract__block -->","PeriodicalId":49930,"journal":{"name":"Kybernetes","volume":"46 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kybernetes","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1108/k-01-2024-0174","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

Airline self-service technology (SST) has attracted attention from both the academic and aviation sectors. As the use of SST can reduce airlines’ operating costs, investigating SST usage at airports is particularly important for the aviation sector. The extant literature has explored users’ SST usage intention, but users’ switching intentions from traditional manual counter services to SST is still limited. Therefore, to address this issue, we used the push–pull–mooring (PPM) theoretical framework to develop a research model to explore user switching intention.

Design/methodology/approach

We utilized a mixed-methods approach. A qualitative approach (i.e., semistructured interviews) was first employed to recognize and choose the candidate factors. Then, we collected 450 valid responses through an online survey to test the model. The partial least squares method was used for data analysis.

Findings

We found that several push (perceived dissatisfaction and perceived inconvenience), pull (perceived ease of use, perceived usefulness and service process fit), and mooring (personal innovativeness and inertia) factors significantly influence switching intention. Additionally, mooring factors exert contextual effects on the relationships between push and switching intentions and between pull factors and switching intentions.

Originality/value

This study contributes to the literature by further increasing our understanding of user switching intentions regarding SSTs from the PPM perspective and offering guidance for the aviation sector to attract and retain customers.

从推拉式候机角度探讨中国乘客对航空自助服务技术的转换意愿
目的 航空自助服务技术(SST)引起了学术界和航空界的关注。由于 SST 的使用可以降低航空公司的运营成本,因此调查 SST 在机场的使用情况对航空业尤为重要。现有文献探讨了用户的 SST 使用意向,但用户从传统人工柜台服务向 SST 的转换意向仍然有限。因此,为了解决这个问题,我们使用了推拉移动(PPM)理论框架,建立了一个研究模型来探讨用户的转换意向。首先采用定性方法(即半结构式访谈)来识别和选择候选因素。然后,我们通过在线调查收集了 450 份有效回复,对模型进行了测试。研究结果我们发现,一些推动因素(感知到的不满意和感知到的不方便)、拉动因素(感知到的易用性、感知到的有用性和服务流程匹配性)和停泊因素(个人创新性和惰性)会显著影响转换意向。此外,停泊因素对推动因素与转换意向之间的关系以及拉动因素与转换意向之间的关系产生了情境效应。这项研究从PPM的角度进一步加深了我们对SST用户转换意向的理解,并为航空业吸引和留住客户提供了指导,从而为相关文献做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Kybernetes
Kybernetes 工程技术-计算机:控制论
CiteScore
4.90
自引率
16.00%
发文量
237
审稿时长
4.3 months
期刊介绍: Kybernetes is the official journal of the UNESCO recognized World Organisation of Systems and Cybernetics (WOSC), and The Cybernetics Society. The journal is an important forum for the exchange of knowledge and information among all those who are interested in cybernetics and systems thinking. It is devoted to improvement in the understanding of human, social, organizational, technological and sustainable aspects of society and their interdependencies. It encourages consideration of a range of theories, methodologies and approaches, and their transdisciplinary links. The spirit of the journal comes from Norbert Wiener''s understanding of cybernetics as "The Human Use of Human Beings." Hence, Kybernetes strives for examination and analysis, based on a systemic frame of reference, of burning issues of ecosystems, society, organizations, businesses and human behavior.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信