Customer’s Acceptance of Humanoid Robots in Services: The Moderating Role of Risk Aversion

[1]  M. Mori THE UNCANNY VALLEY , 2020, The Monster Theory Reader.

[2]  J. Schleich,et al.  A large-scale test of the effects of time discounting, risk aversion, loss aversion, and present bias on household adoption of energy-efficient technologies , 2019, Energy Economics.

[3]  Dhruv Grewal,et al.  Service Robots Rising: How Humanoid Robots Influence Service Experiences and Elicit Compensatory Consumer Responses , 2019, Journal of Marketing Research.

[4]  A. Yesim Orhun,et al.  Frugality Is Hard to Afford , 2018, Journal of Marketing Research.

[5]  Jochen Wirtz,et al.  Brave new world: service robots in the frontline , 2018, Journal of Service Management.

[6]  Ángel L. Meroño-Cerdán,et al.  Risk aversion, innovation and performance in family firms , 2018 .

[7]  Roland T. Rust,et al.  Artificial Intelligence in Service , 2018 .

[8]  Iis P. Tussyadiah,et al.  Consumer Evaluation of Hotel Service Robots , 2018, ENTER.

[9]  Amy L. Ostrom,et al.  Domo Arigato Mr. Roboto , 2017 .

[10]  Nicole C. Krämer,et al.  How design characteristics of robots determine evaluation and uncanny valley related responses , 2014, Comput. Hum. Behav..

[11]  Jeffrey S. Smith,et al.  Simulation for manufacturing system design and operation: Literature review and analysis , 2014 .

[12]  Jin Sun,et al.  How risky are services? An empirical investigation on the antecedents and consequences of perceived risk for hotel service. , 2014 .

[13]  D. Wegner,et al.  Feeling robots and human zombies: Mind perception and the uncanny valley , 2012, Cognition.

[14]  C. Wu,et al.  Service guarantees in the hotel industry: Their effects on consumer risk and service quality perceptions , 2012 .

[15]  Veroline Cauberghe,et al.  The Impact of Banners on Digital Television: The Role of Program Interactivity and Product Involvement , 2008, Cyberpsychology Behav. Soc. Netw..

[16]  I. René J. A. te Boekhorst,et al.  Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion , 2008, Auton. Robots.

[17]  J. Steenkamp,et al.  How Country Characteristics Affect the Perceived Value of Web Sites , 2006 .

[18]  D. Allen,et al.  Turnover intentions and voluntary turnover: the moderating roles of self-monitoring, locus of control, proactive personality, and risk aversion. , 2005, The Journal of applied psychology.

[19]  Scott E. Hein,et al.  The Effect of Heterogeneous Risk on the Early Adoption of Internet Banking Technologies , 2005 .

[20]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[21]  K. Ruyter,et al.  The Adoption of Information Technology in Self-Managing Service Teams , 2003 .

[22]  H. Luczak,et al.  Let's talk: anthropomorphization as means to cope with stress of interacting with technical devices , 2003, Ergonomics.

[23]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[24]  A. Dedeke Service quality: a fulfilment‐oriented and interactions‐centred approach , 2003 .

[25]  K. Zhou,et al.  Face consciousness and risk aversion: Do they affect consumer decision‐making? , 2003 .

[26]  S. Tan Strategies for reducing consumers’ risk aversion in Internet shopping , 1999 .

[27]  J. Jaccard,et al.  LISREL Approaches to Interaction Effects in Multiple Regression , 1998 .

[28]  B. J. Fogg,et al.  Can computer personalities be human personalities? , 1995, Int. J. Hum. Comput. Stud..

[29]  C. Coulton,et al.  Interaction Effects in Multiple Regression , 1993 .

[30]  M. Bond,et al.  Hofstede's Culture Dimensions , 1984 .

[31]  J. Pratt RISK AVERSION IN THE SMALL AND IN THE LARGE11This research was supported by the National Science Foundation (grant NSF-G24035). Reproduction in whole or in part is permitted for any purpose of the United States Government. , 1964 .