Causal Attributions and Overall Blame of Self-Service Technology (SST) Failure: Different from Service Failures by Employee and Policy

2017 ◽  
Vol 27 (1) ◽  
pp. 61-84 ◽  
Author(s):  
Boyoun Lee ◽  
David A. Cranage
Keyword(s):  
Causal Attributions ◽  
Service Failures ◽  
Self Service ◽  
Self Service Technology

scholarly journals How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services?

2020 ◽  
Vol 12 (12) ◽  
pp. 5119 ◽  
Author(s):  
Taehyee Um ◽  
Taekyung Kim ◽  
Namho Chung
Keyword(s):  
Word Of Mouth ◽  
Service Failure ◽  
Service Innovation ◽  
Negative Word ◽  
Competitive Advantages ◽  
Communication Interface ◽  
Service Failures ◽  
Self Service ◽  
Sustainable Services ◽  
Self Service Technology

To gain competitive advantages and sustainable service innovation, hotels are considering artificial intelligence technologies (AI), including robots, kiosks for service automation and chatbots. However, due to the change of the service process and unfamiliar communication interface, hotel customers may have difficulties in adopting the new change. In this paper, we tried to find out if the failure of AI-based services would affect customers’ perception. For this, we designed the experiment by separating AI (i.e., chatbot) services and self-service technology (SST, i.e., pad) services and service failures and successful cases, respectively. As a result, SST showed more positive perceptions and revisit intention in the successful service situation. The service failure situation showed no differences between chatbot and SST. In addition, novelty and the need for interaction characteristics of customers showed significant differences between groups in terms of service success and failure, respectively. Additionally, we explored negative word-of-mouth (WOM) to learn further effects by service failures and successes.

Does anthropomorphism influence customers’ switching intentions in the self-service technology failure context?

2016 ◽  
Vol 30 (7) ◽  
pp. 713-723 ◽  
Author(s):  
Alei Fan ◽  
Luorong (Laurie) Wu ◽  
Anna S. Mattila
Keyword(s):  
Social Presence ◽  
Service Providers ◽  
Service Failure ◽  
Content Type ◽  
Consumer Responses ◽  
Service Failures ◽  
Quasi Experimental ◽  
Self Service ◽  
Self Service Technology ◽  
Sense Of Power

Purpose To enhance customer experiences, firms are increasingly adding human-like features to their self-service technology (SST) machines. To that end, the purpose of the present study is to examine customer interactions with an anthropomorphic machine in a service failure context. Specifically, the authors investigate the joint effects of machine voice, an individual’s sense of power and the presence of other customers in influencing customers’ switching intentions following an SST failure. Design/methodology/approach In this study, the authors used a quasi-experimental design in which they manipulated voice type (anthropomorphic vs robotic) and the presence of other customers (present vs absent) in video-based scenarios while measuring customers’ sense of power. The scenarios reflected a service failure experience with a self-service kiosk at an airport. The authors tested the hypotheses using PROCESS analyses with the Johnson–Neyman technique. Findings Consumer reactions to SST failures vary depending on the degree of anthropomorphism associated with an SST machine, an individual’s sense of power and the presence of other customers. Research limitations/implications Field inquiry and an investigation in other SST contexts or of other anthropomorphic features are needed to generalize the findings. Practical implications Service providers targeting powerful consumers should consider the social presence of others when incorporating anthropomorphic features into their SST facilities. Originality/value This study is the first to examine consumer responses to service failures in an anthropomorphic SST context.

Understanding the differences of public and private self-service technology

2014 ◽  
Vol 28 (1) ◽  
pp. 60-70 ◽  
Author(s):  
Joel E. Collier ◽  
Daniel L. Sherrell ◽  
Emin Babakus ◽  
Alisha Blakeney Horky
Keyword(s):  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Public And Private ◽  
Content Type ◽  
Private And Public ◽  
Self Service ◽  
Self Service Technology ◽  
Individual Self ◽  
Practical Implications

Purpose – The purpose of this paper is to explore the potential differences between types of self-service technology. Specifically, the paper explores how the dynamics of public and private self-service technology influence customers' decision to use the technology. Design/methodology/approach – Existing customers of private and public self-service technology were surveyed from the same industry. Using structural equation modeling, the authors examine how relevant self-service constructs influence evaluations and attitudes of customers across both settings. Findings – The analysis reveals that customers' control and convenience perceptions differ across public and private self-service technology. Additionally, customers placed a heavier emphasis on the hedonic or utilitarian evaluation of a service experience based on the type of self-service technology. Practical implications – For managers of self-service applications, understanding the unique differences of public and private self-service technology can aid in the implementation and adoption of the technology. By properly understanding the differences of the self-service types, managers can provide a beneficial experience to the customer. Originality/value – By identifying and describing two distinct categories of SSTs, this study allows managers and researchers to better understand how and why individuals choose to utilize individual self-service technologies. Through understanding the unique dynamics of a public and a private SST experience, retailers can determine the appropriate strategy for customer adoption based on the utilitarian or hedonic functions of the technology.

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