Airport Self-Service Technologies, Passenger Self-Concept, and Behavior: An Attributional View

Author:

Antwi Collins OpokuORCID,Ren Jun,Owusu-Ansah WilberforceORCID,Mensah Henry KofiORCID,Aboagye Michael Osei

Abstract

Airports are rapidly deploying self-service technologies (SSTs) as a strategy to improve passenger experience by eliminating operational inefficiencies. This places some responsibility on the passengers to shape their experience. As service coproducers, passengers’ self-concepts and attributional tendencies are deemed instrumental in their consumption processes. Accordingly, drawing on the tenets of attribution theory, this study explores the interaction effects of passenger self-concept (am I competent at this?) and causal inference (who is responsible for SSTs’ performance?) on SST performance and satisfaction with airport SST link. Additionally, the probable spillover effect of passenger satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is examined. The sample for the study consisted of 547 passengers departing from an airport in Shanghai, China. Structural equation modeling was utilized to test the study’s theoretical model. The findings indicate that airport SSTs’ performance influences passenger satisfaction with airport SSTs. The multiplicative effect of passenger self-concept (am I competent at this?) in the moderating role of passenger causal inference (who is responsible for SSTs’ performance?) in SST performance and satisfaction with SST link is demonstrated. Furthermore, the spillover effect of satisfaction with SST performance on satisfaction with airport and on electronic word-of-mouth (eWOM) is illustrated. Given the current need for contactlessness, the findings proffer critical managerial and research insights.

Funder

China Postdoctoral Science Foundation

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development

Reference95 articles.

1. Intelligent airportshttp://www.airport-world.com/features/it/6493-intelligent-airports.html

2. Passengers’ Expectations of Airport Service Quality: A Case Study of Jeju International Airport;Yang;Int. J. Bus. Soc. Res.,2015

3. Skytrax, Latest Airport Reviewshttps://www.airlinequality.com/review-pages/latest-airport-reviews/

4. Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters

5. Strategic design of precautionary measures for airport passengers in times of global health crisis Covid 19: Parametric modelling and processing algorithms

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3