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Customer acceptance of service robots under different service settings

Customer acceptance of service robots under different service settings This paper investigates the reasons for the differences in customers' acceptance of service robots (CASR) in actual experience and credence service settings for the following two aspects: (1) different antecedents affecting CASR and (2) different customer perceptions of their own characteristics (role clarity and ability) and service robot characteristics (anthropomorphism and ability).Design/methodology/approachThe data were collected using online surveys in an experience service setting (Hotel, N = 426) and a credence service setting (Hospital, N = 406). Differences in experience and credence service settings were examined using two statistical methods, namely, PLS-SEM to test the differences in antecedents affecting CASR and independent-samples t-tests to test the differences in customer perceptions of their own characteristics and service robot characteristics.FindingsThe results indicate that customers in an experience (vs credence) service setting have stronger positive attitudes toward and a greater intention to use service robots. Further, this paper finds there are two key reasons for the differences in CASR. The first is different antecedents. Perceived usefulness is positively influenced by the anthropomorphism of a service robot and customer ability in the experience service setting, but is influenced not in the credence service setting. Conversely, service robot autonomy positively relates to perceived ease of use in the credence service setting, but does not in the experience service setting. The second reason for CASR differences is different customer perceptions. Customers' ability and perceived ease of use are higher, while their perception of anthropomorphism of the service robot is lower in the experience (vs credence) service setting.Originality/valueThis study helps explain why there are differences in the CASR in different settings and presents two perspectives: (1) antecedents' affecting CASR and (2) customer perceptions of their own as well as service robot characteristics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Service Theory and Practice Emerald Publishing

Customer acceptance of service robots under different service settings

Li, Yi; Wang, Chongli; Song, Bo
Journal of Service Theory and Practice , Volume 33 (1): 26 – Feb 10, 2023
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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2055-6225
DOI
10.1108/jstp-06-2022-0127
Publisher site
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Abstract

This paper investigates the reasons for the differences in customers' acceptance of service robots (CASR) in actual experience and credence service settings for the following two aspects: (1) different antecedents affecting CASR and (2) different customer perceptions of their own characteristics (role clarity and ability) and service robot characteristics (anthropomorphism and ability).Design/methodology/approachThe data were collected using online surveys in an experience service setting (Hotel, N = 426) and a credence service setting (Hospital, N = 406). Differences in experience and credence service settings were examined using two statistical methods, namely, PLS-SEM to test the differences in antecedents affecting CASR and independent-samples t-tests to test the differences in customer perceptions of their own characteristics and service robot characteristics.FindingsThe results indicate that customers in an experience (vs credence) service setting have stronger positive attitudes toward and a greater intention to use service robots. Further, this paper finds there are two key reasons for the differences in CASR. The first is different antecedents. Perceived usefulness is positively influenced by the anthropomorphism of a service robot and customer ability in the experience service setting, but is influenced not in the credence service setting. Conversely, service robot autonomy positively relates to perceived ease of use in the credence service setting, but does not in the experience service setting. The second reason for CASR differences is different customer perceptions. Customers' ability and perceived ease of use are higher, while their perception of anthropomorphism of the service robot is lower in the experience (vs credence) service setting.Originality/valueThis study helps explain why there are differences in the CASR in different settings and presents two perspectives: (1) antecedents' affecting CASR and (2) customer perceptions of their own as well as service robot characteristics.

Journal

Journal of Service Theory and Practice – Emerald Publishing

Published: Feb 10, 2023

Keywords: CASR; Service setting; Service encounter; Role theory; Robot characteristics; Customer characteristics

References

  • Customer acceptance of frontline service robots in retail banking: a qualitative approach
    Amelia, A.; Mathies, C.; Patterson, P.G.
  • On the evaluation of structural equation models
    Bagozzi, R.P.; Yi, Y.
  • Toward a framework for levels of robot autonomy in human-robot interaction
    Beer, J.M.; Fisk, A.D.; Rogers, W.A.
  • Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers
    Belanche, D.; Casaló, L.V.; Flavián, C.
  • Service robot implementation: a theoretical framework and research agenda
    Belanche, D.; Casaló, L.V.; Flavián, C.; Schepers, J.
  • Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI
    Blut, M.; Wang, C.; Wünderlich, N.V.; Brock, C.
  • Interdisciplinary study of service: some progress, some prospects
    Bowen, D.E.
  • Value of social robots in services: social cognition perspective
    Čaić, M.; Mahr, D.; Oderkerken-Schröder, G.
  • Service robots: value co-creation and co-destruction in elderly care networks
    Čaić, M.; Odekerken-Schröder, G.; Mahr, D.
  • Where does the customer fit in a service operation
    Chase, R.B.
  • Hotel robots: an exploratory study of Generation Z customers in China
    Chen, Y.; Xue, T.; Tuomi, A.; Wang, Z.
  • Tourists' attitudes toward the use of artificially intelligent (AI) devices in tourism service delivery: moderating role of service value seeking
    Chi, O.H.; Gursoy, D.; Chi, C.G.
  • The future of service: the power of emotion in human-robot interaction
    Chuah, S.H.-W.; Yu, J.
  • International services: perspectives at century's end
    Clark, T.; Rajaratnam, D.
  • Perceived usefulness, perceived ease of use, and user acceptance of information technology
    David, F.D.
  • Conceptualizing and measuring the optimal experience of the eLearning environment
    Davis, R.; Wong, D.
  • On seeing human: a three-factor theory of anthropomorphism
    Epley, N.; Waytz, A.; Cacioppo, J.T.
  • Understanding consumers' acceptance of automated technologies in service encounters: drivers of digital voice assistants adoption
    Fernandes, T.; Oliveira, E.
  • Evaluating structural equation models with unobservable variables and measurement error
    Fornell, C.; Larcker, D.F.
  • Interaction between hotel service robots and humans: a hotel-specific Service Robot Acceptance Model (sRAM)
    Fuentes-Moraleda, L.; Díaz-Pérez, P.; Orea-Giner, A.; Muñoz- Mazón, A.; Villacé-Molinero, T.
  • Structural equation modeling and regression: guidelines for research practice
    Gefen, D.; Straub, D.; Boudreau, M.-C.
  • Validating the search, experience, and credence product classification framework
    Girard, T.; Dion, P.
  • Consumers' adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda
    Goel, P.; Kaushik, N.; Sivathanu, B.; Pillai, R.; Vikas, J.
  • Social robots in hospitals: a systematic review
    González-González, C.S.; Violant-Holz, V.; Gil-Iranzo, R.M.
  • Dimensions of mind perception
    Gray, H.M.; Gray, K.; Wegner, D.M.
  • Mind perception is the essence of morality
    Gray, K.; Young, L.; Waytz, A.
  • Exploring key factors influencing customer behavioral intention in robot restaurants
    Guan, X.; Gong, J.; Li, M.; Huan, T.-C.
  • Humanoid robots in higher education: evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT
    Guggemos, J.; Seufert, S.; Sonderegger, S.
  • Customer contributions and roles in service delivery
    Jo Bitner, M.; Faranda, W.T.; Hubbert, A.R.; Zeithaml, V.A.
  • Service robots: drivers of perceived responsibility for service outcomes
    Jörling, M.; Böhm, R.; Paluch, S.
  • Carer's perception on social assistive technology acceptance and adoption: moderating effects of perceived risks
    Khaksar, S.M.S.; Khosla, R.; Singaraju, S.; Slade, B.
  • Application of AI and robotics in hospitality sector: a resource gain and resource loss perspective
    Khaliq, A.; Waqas, A.; Nisar, Q.A.; Haider, S.; Asghar, Z.
  • Return on interactivity: the impact of online agents on newcomer adjustment
    Köhler, C.F.; Rohm, A.J.; Ruyter, K.D.; Wetzels, M.
  • User perception of medical service robots in hospital wards: a cross-sectional study
    Lee, J.H.; Lee, J.M.; Hwang, J.; Park, J.Y.; Kim, M.; Kim, D.H.; Lee, J.I.; Nam, K.H.; Han, I.H.
  • A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality
    Lee, W.H.; Lin, C.W.; Shih, K.H.
  • Effect of customer's perception on service robot acceptance
    Li, Y.; Wang, C.
  • Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management
    Liang, H.; Saraf, N.; Hu, Q.
  • Antecedents of customers' acceptance of artificially intelligent robotic device use in hospitality services
    Lin, H.; Chi, O.H.; Gursoy, D.
  • What influences patients' continuance intention to use AI-powered service robots at hospitals? The role of individual characteristics
    Liu, X.; He, X.; Wang, M.; Shen, H.
  • Research on service robot adoption under different service scenarios
    Liu, Y.; Wang, X.; Wang, S.
  • Classifying services to gain strategic marketing insights
    Lovelock, C.H.
  • Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps?
    Lu, V.N.; Wirtz, J.; Kunz, W.H.; Paluch, S.; Gruber, T.; Martins, A.; Patterson, P.G.
  • Situational influence in interpersonal persuasion
    Lutz, R.; Kakkar, P.
  • The effect of COVID-19 on airline transportation services: a study on service robot usage intention
    Meidute-Kavaliauskiene, I.; Yıldız, B.; Çiğdem, Ş.; Činčikaitė, R.
  • Choosing among alternative service delivery modes: an investigation of customer trial of self-service technologies
    Meuter, M.L.; Bitner, M.J.; Ostrom, A.L.; Brown, S.W.
  • An examination of perceived risk, information search and behavioral intentions in search, experience and credence services
    Mitra, K.; Reiss, M.C.; Capella, L.M.
  • An affective approach to modelling intentions to use technologies for social distancing in hotels
    Morosan, C.
  • Marketing robot services in hospitality and tourism: the role of anthropomorphism
    Murphy, J.; Gretzel, U.; Pesonen, J.
  • Consumer trade-offs and the evaluation of services
    Ostrom, A.; Iacobucci, D.
  • The adoption of AI service robots: a comparison between credence and experience service settings
    Park, S.S.; Tung, C.D.; Lee, H.
  • Service robots, agency and embarrassing service encounters
    Pitardi, V.; Wirtz, J.; Paluch, S.; Kunz, W.H.
  • Self-reports in organizational research: problems and prospects
    Podsakoff, P.M.; Organ, D.W.
  • Common method biases in behavioral research: a critical review of the literature and recommended remedies
    Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P.
  • Enhancing hospitality experience with service robots: the mediating role of rapport building
    Qiu, H.; Li, M.; Shu, B.; Bai, B.
  • Acceptability of using a robotic nursing assistant in health care environments: experimental pilot study
    Saadatzi, M.N.; Logsdon, M.C.; Abubakar, S.; Das, S.; Jankoski, P.; Mitchell, H.; Chlebowy, D.; Popa, D.O.
  • Social acceptance of robots in different occupational fields: a systematic literature review
    Savela, N.; Turja, T.; Oksanen, A.
  • Demystifying intercultural service encounters: toward a comprehensive conceptual framework
    Sharma, P.; Tam, J.L.M.; Kim, N.
  • Service role and outcome as moderators in intercultural service encounters
    Sharma, P.; Tam, J.L.M.; Kim, N.
  • Consumer uncertainty, revisited: consumer uncertainty, revisited
    Shiu, E.M.K.; Walsh, G.; Hassan, L.M.; Shaw, D.
  • When service robots look at themselves in the mirror: an examination of the effects of perceptions of robotic self-recognition
    Söderlund, M.
  • Pepper in the Marriott international group
  • A role theory perspective on dyadic interactions: the service encounter
    Solomon, M.R.; Surprenant, C.; Czepiel, J.A.; Gutman, E.G.
  • Predictors of consumers' willingness to share personal information with fashion sales robots
    Song, C.S.; Kim, Y.-K.
  • A service Robot Acceptance Model: user acceptance of humanoid robots during service encounters
    Stock, R.M.; Merkle, M.
  • The impact of tourism activity type on emotion and storytelling: the moderating roles of travel companion presence and relative ability
    Su, L.; Cheng, J.; Swanson, S.R.
  • Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia
    Subero-Navarro, Á.; Pelegrín-Borondo, J.; Reinares-Lara, E.; Olarte-Pascual, C.
  • The effect of attribute alignability on service evaluation: the moderating role of uncertainty
    Sun, J.; Keh, H.T.; Lee, A.Y.
  • Toward a framework for human-robot interaction
    Thrun, S.
  • Assistant nurses and orientation to care robot use in three European countries
    Tuisku, O.; Johansson-Pajala, R.-M.; Hoppe, J.A.; Pekkarinen, S.; Hennala, L.; Thommes, K.; Gustafsson, C.; Melkas, H.
  • Socially assistive robots in aged care: ethical orientations beyond the care-romantic and technology-deterministic gaze
    Vandemeulebroucke, T.; Dierckx de Casterlé, B.; Gastmans, C.
  • User acceptance of information technology: toward a unified view
    Venkatesh, V.; Morris, M.G.; Davis, G.B.; Davis, F.D.
  • Can I go or should I stay?” A theoretical framework of social lock-in during unsatisfactory service encounters
    Volkers, M.
  • Effects of country and individual factors on public acceptance of artificial intelligence and robotics technologies: a multilevel SEM analysis of 28-country survey data
    Vu, H.T.; Lim, J.
  • Some dimensions of altercasting
    Weinstein, E.A.; Deutschberger, P.
  • Recent advances in causal modeling methods for organizational and management research
    Williams, L.J.; Edwards, J.R.; Vandenberg, R.J.
  • Brave new world: service robots in the frontline
    Wirtz, J.; Patterson, P.G.; Kunz, W.H.; Gruber, T.; Lu, V.N.; Paluch, S.; Martins, A.
  • Customer deference to service providers in ordinary service encounters
    Wongkitrungrueng, A.; Nuttavuthisit, K.; Szabo-Douat, T.; Sen, S.
  • Robotics for customer service: a useful complement or an ultimate substitute?
    Xiao, L.; Kumar, V.
  • Medical robotics—regulatory, ethical, and legal considerations for increasing levels of autonomy
    Yang, G.Z.; Cambias, J.; Cleary, K.; Daimler, E.; Drake, J.; Dupont, P.E.; Hata, M.; Kazanzides, P.; Martel, S.; Patel, R.V.; Santos, V.J.; Taylor, R.H.
  • Robots at your service: value facilitation and value co-creation in restaurants
    Zhang, X.; Balaji, M.S.; Jiang, Y.