Self-service technology in aviation : the case study of Thailand : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Aviation at Massey University, Manawatu Campus, New Zealand

dc.confidentialEmbargo : No
dc.contributor.advisorNgo, Thanh
dc.contributor.authorWongyai, Phutawan Ho
dc.date.accessioned2026-06-21T23:29:46Z
dc.date.issued2026-06-16
dc.description.abstractAs a major tourist destination, Thailand’s economy relies heavily on air transport. The post- pandemic air travel sector still faces operational challenges, including airport congestion and staff shortages. These issues have accelerated the adoption of self-service technology (SST) to tackle these challenges and improve passenger experience. This thesis examines SST within aviation, passenger adoption, and its effects on ground employees, using Thailand as a case study. Chapter 1 reviews the literature on SST in aviation, identifying potential research gaps. This chapter maps the research landscape, identifying a considerable lack of studies on the new biometric check-in kiosks, and highlighting the limited research concerning the effects of SST implementation on ground employees. Chapter 2 explores how passengers adopt biometric check-in kiosks by combining the Technology Acceptance Model with the Theory of Planned Behaviour, broadening these models to incorporate less researched factors in aviation context, such as perceived risk, trust, and privacy issues. The results highlight the critical role of perceived trust and privacy concerns in influencing attitudes toward the use of this technology. Chapter 3 investigates the perceived threat of job automation from SST on airlines and airports ground employees. The findings illustrate the influence of this threat on, job insecurity, job satisfaction, and organisational commitment on turnover intentions. This thesis contributes to the aviation literature by synthesising insights from both passenger and employee perspectives. It also offers managerial implications for optimising future SST implementation strategies. Specifically, it recommends that aviation stakeholders must facilitate biometric adoption by actively communicating the technology’s benefits and data privacy measures to reshape passenger attitudes and build trust. Simultaneously, mitigate ground staff job insecurity through targeted upskilling and role integration to ensure workforce retention.
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/74567
dc.publisherMassey University
dc.rights© The Author
dc.subjectself-service technology
dc.subjectaviation
dc.subjectpassengers
dc.subjecttechnology acceptance
dc.subject.anzsrc350901 Air transportation and freight services
dc.titleSelf-service technology in aviation : the case study of Thailand : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Aviation at Massey University, Manawatu Campus, New Zealand
thesis.degree.disciplineAviation
thesis.degree.nameDoctor of Philosophy (Ph.D.)
thesis.description.doctoral-citation-abridgedMr Ho Wongyai examined passenger adoption of airport self-service technologies and their impact on ground employees. He found that privacy concerns and trust influenced whether passengers used biometric check-in kiosks. His research offered vital strategies to optimise technology use while safeguarding employee job satisfaction.
thesis.description.doctoral-citation-longThe post-pandemic aviation sector faces operational challenges, accelerating the adoption of self-service technologies to improve efficiency. Mr Ho Wongyai examined the adoption of biometric check-in kiosks by passengers and the impact of these technologies on ground employees in Thailand. He found that trust and privacy concerns influenced passenger attitudes toward utilising biometric kiosks. Furthermore, he demonstrated that the perceived threat of job automation negatively affected employee job security and satisfaction. His research provided practical strategies for aviation stakeholders to optimise technology implementation while actively maintaining and supporting their workforce.
thesis.description.name-pronounciationPhutawan Ho Wongyai (POO – TA – WUN   HO   WONG – YAI)

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
WongyaiPhDThesis.pdf
Size:
3.07 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
9.87 KB
Format:
Item-specific license agreed upon to submission
Description: