In Search of the Perfect Match: A Configurational Approach to Technology Transfer in Singapore

Liu, Hung-Yao; Subramanian, Annapoornima M.; Hang, Chang-Chieh

doi:10.1109/tem.2019.2901029

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…Conforming with previous QCA research, we used the threshold of 0.90 for consistency in order to reduce the likelihood of true logical contradictions within the cases found. In line with recent QCA research, we too also implement the use of the parsimonious solution as this has been shown to be the best minimization technique for causal inference [50].…”

Section: Csqca Proceduresmentioning

confidence: 95%

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Integrating Qualitative Comparative Analysis and Support Vector Machine Methods to Reduce Passengers’ Resistance to Biometric E-Gates for Sustainable Airport Operations

2019

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For the sake of maintaining sustainable airport operations, biometric e-gates security systems started receiving significant attention from managers of airports around the world. Therefore, how to reduce flight passengers’ perceived resistance to the biometric e-gates security system became much more important than ever. In this sense, the purpose of this study is to analyze the factors which contribute to passenger’s resistance to adopt biometric e-gate technology within the airport security setting. Our focus lies on exploring the effects that perceived risks and benefits as well as user characteristics and propagation mechanisms had on causing such resistance. With survey data from 339 airport users, a support vector machine (SVM) model was implemented to provide a tool for classifying resistance causes correctly, and csQCA (crisp set Qualitative Comparative Analysis) was implemented in order to understand the complex underlying causes. The results showed that the presence of perceived risks and the absence of perceived benefits were the main contributing factors, with propagation mechanisms also showing a significant effect on weak and strong resistance. This study is distinct in that it has attempted to explore innovation adoption through the lens of resistance and in doing so has uncovered important complex causation conditions that need to be considered before service quality can be enhanced within airports. This study’s implications should therefore help steer airport managers in the right direction towards maintaining service quality while implementing sustainable new technologies within their current airport security ecosystem.

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Section: Csqca Proceduresmentioning

confidence: 95%

“…In other words, the condition X is necessary when the outcome Y is present alongside the presence of condition X. Given this, Y cannot be achieved without the condition X [49,50]. With sufficiency, the opposite logic applies.…”

Section: Crisp Set Qualitative Comparative Analysis (Csqca)mentioning

confidence: 99%