Assessing the self-service technology usage of Y-Generation in airline services

2018 ◽  
Vol 71 ◽  
pp. 215-219 ◽  
Author(s):  
Nuriye Gures ◽  
Hilal Inan ◽  
Seda Arslan
2020 ◽  
Vol 8 (2) ◽  
pp. 569-578
Author(s):  
Nur Dalila Mukhtar ◽  
Asyraf Afthanorhan ◽  
Puspa Liza Ghazali ◽  
Hazimi Foziah

Purpose of the study: The main purpose of this study is to explore the suitability of the self-service technology (SST) factor in transportation marketing research. SST is a novel theory that initially was developed for technology devices. Thus, SST is carry on to examine their usefulness on customer satisfaction and loyalty. Methodology: This research paper is conceptually based on a critical review of self-service technology, customer satisfaction and loyalty toward the Grabcar services in East Coast Malaysia. Main Findings: The researchers propose a model where the self-service technology is accounted for from two different dimensions (Functionality and Enjoyment). This study also makes an attempt to relate all these factors in determining the loyalty of the customers. Applications of this study: This study will enable the decision-maker to understand better ways to increase the satisfaction of the customer. Novelty/Originality of this study: This study offers a theoretical framework for applied researchers who are interested in transportation marketing. As SST becomes popular during Industrial Revolution4.0, this is the right time to promote a new model for investigation purposes.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nedra Bahri Ammari ◽  
Abir Hsouna ◽  
Mounia Benabdallah ◽  
Anish Yousaf ◽  
Abhishek Mishra

PurposeThe purpose of this study is to investigate the impact of dissatisfaction and anger, driven by the failure of the self-service technology of banks, on customers' post-purchase behavioural reactions, such as complaints, negative word-of-mouth (NWOM) and supplier change. The stability of the failure is proposed to moderate these relationships.Design/methodology/approachThe proposed research model was tested through data collected from an online survey of a Tunisian sample of 300 respondents, using the scenario method.FindingsThe study validates the positive impact of dissatisfaction on anger and negative word-of-mouth, as well as that of anger on complaint behaviour and negative word-of-mouth. The relation between dissatisfaction and negative word-of-mouth is mediated by anger. When the failure is stable, dissatisfied users of the self-service technology seek to enhance their negative word-of-mouth and supplier change. The results also show that the stability of the failure enhances the effect of anger on complaint behaviour.Practical implicationsBanks should invest efforts to accelerate the recovery of services to reduce consumer dissatisfaction and anger and prevent adverse behavioural outcomes. Further, they need to ensure that failures are not repeated, as failure stability activates some otherwise non-significant behavioural outcomes, like supplier change.Originality/valuePrevious works have focused on the impact of dissatisfaction and negative emotions for interpersonal services, but very few works have come to associate dissatisfaction, anger, complaint, negative word-of-mouth and supplier change in an integrative framework for an self-service technology failure.


2015 ◽  
Vol 27 (6) ◽  
pp. 1181-1197 ◽  
Author(s):  
Alinda Kokkinou ◽  
David A. Cranage

Purpose – The purpose of the present study is to examine the effect of waiting lines on customers’ decisions between using a self-service alternative and using a service employee. As self-service technologies are expensive and time-consuming to design and implement, service providers need to understand what drives customers to use them. Service operators have the most control over waiting lines and flexibility in expanding capacity, either by adding service employees or by adding self-service kiosks. Design/methodology/approach – The study used online scenario-based surveys following a 4 (number of customers waiting for the self-service technology) × 4 (number of customers waiting for the service employee) design. A binary dependent variable was used to record participants’ choice of service delivery alternative. Findings – Using logistic regression, the authors found that customers are increasingly motivated to use self-service technology as the waiting line for the service employee grows longer. This effect is influenced by perceived usefulness, anticipated quality of the self-service technology, need for interaction and technology anxiety. Research limitations/implications – This study should be replicated in a real-world setting where actual behavior, and not only intention, can be measured. Practical implications – The study provides guidance on how service providers can design their service to take advantage of the motivating effect of waiting lines on usage of self-service technology. Originality/value – The present study is the first to combine a scenario-based experiment with a binary dependent variable to isolate the impact of waiting lines on the choice between using a self-service technology and using a service employee. The use of the binary dependent variable overcomes the ambiguity of extrapolating from a continuous measure of intention to draw conclusions about behavior, a binary variable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lixuan Zhang ◽  
Iryna Pentina ◽  
Yuhong Fan

Purpose This study aims to investigate the differences in consumers’ perceptions of trust, performance expectancy and intention to hire between human financial advisors with high/low expertise and robo-advisors. Design/methodology/approach Three experiments were conducted. The respondents were randomly assigned to human advisors with high/low expertise or a robo-advisor. Data were analyzed using MANCOVA. Findings The results suggest that consumers prefer human financial advisors with high expertise to robo-advisors. There are no significant differences between robo-advisors and novice financial advisors regarding performance expectancy and intention to hire. Originality/value This pioneering study extends the self-service technology adoption theory to examine adoption of robo-advisors vs human financial advisors with different expertise levels. To the best of the authors’ knowledge, it is among the first studies to address multi-dimensionality of trust in the context of artificial intelligence-based self-service technologies.


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