Smart Service Dimensions: Exploring Customer Experience and Participation using Stimulus-Organism-Response Model

Authors

  • Nadiah Maisarah Abdul Ghani Department of Entrepreneurship and Marketing Studies, Universiti Teknologi MARA, Malaysia, Graduate School of Business, Universiti Kebangsaan Malaysia, Malaysia
  • Ahmad Azmi Mohd Ariffin Graduate School of Business, Universiti Kebangsaan Malaysia, Malaysia
  • Nor Sara Nadia Muhamad Yunus Department of Entrepreneurship and Marketing Studies, Universiti Teknologi MARA, Malaysia
  • Mohammad Zaim Mohd Salleh Department of Entrepreneurship and Marketing Studies, Universiti Teknologi MARA, Malaysia

DOI:

https://doi.org/10.14738/assrj.106.2.14994

Keywords:

Smart Service Dimensions, Customer Experience, Customer Participation

Abstract

Today, the emergence of smart service technologies has an impact on customer experience and customer participation in the service industry. Artificial intelligence (AI) appears likely to influence marketing strategies, including business models, sales processes, and customer service options, as well as customer behaviors. Technology has been regarded as a game changer in the service context. As consumers become more accustomed to smart technology and robotic services, technology will continue to play an essential role in the service industry to better serve customers. While using smart technology, customers themselves will be involved in the service process. They will participate in the service with no or limited involvement with the staff. Therefore, it is very crucial to emphasis the technology-enhanced experience from a customers’ perspective to have better understanding of the actual content and operational application of smart service and robotic experience by examining the specific dimensions of the smart service. Therefore, this proposed study aims to provide an intense discussion and comprehensive conceptualization of the smart service dimensions that may stimulate customer experience and participation by using Stimulus-Organism-Response (S-O-R) Model.

References

Ahn, J. A., & Seo, S. (2018). Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity. International Journal of Hospitality Management, 74(July 2017), 109–

Blinda, K., Schnittka, O., Sattler, H., & Gräve, J. F. (2019). Implementing effective customer participation for hedonic and utilitarian services. Journal of Services Marketing, 33(3), 316–330.

Chouk, I., & Mani, Z. (2019). Factors for and against resistance to smart services: role of consumer lifestyle and ecosystem related variables. Journal of Services Marketing, 33(4), 449–462.

Ciftci, O., Choi, E. K. (Cindy), & Berezina, K. (2021). Let’s face it: Are customers ready for facial recognition technology at quick-service restaurants? International Journal of Hospitality Management, 95(June 2020),

Djelassi, S., Diallo, M. F., & Zielke, S. (2018). How self-service technology experience evaluation affects waiting time and customer satisfaction? A moderated mediation model. Decision Support Systems,

Dreyer, S., Olivotti, D., Lebek, B., & Breitner, M. H. (2019). Focusing the customer through smart services: a literature review. Electronic Markets, 29(1), 55–78.

Gao, J., Ren, L., Yang, Y., Zhang, D., & Li, L. (2022). The impact of artificial intelligence technology stimuli on smart customer experience and the moderating effect of technology readiness. International Journal of Emerging Markets, 17(4), 1123–1142.

Geneiatakis, D., Kounelis, I., Neisse, R., Nai-Fovino, I., Steri, G., & Baldini, G. (2017). Security and privacy issues for an IoT based smart home. 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedings, 1292–1297.

Habib, A., Alsmadi, D., & Prybutok, V. R. (2020). Factors that determine residents’ acceptance of smart city technologies. Behaviour and Information Technology, 39(6), 610–623.

Herrando, C., Jiménez-Martínez, J., José, M., & Hoyos, M.-D. (2019). Social Commerce Users’ Optimal Experience: Stimuli, Response and Culture. Journal of Electronic Commerce Research, 20(4), 199–218.

Hwang, J., Han, H., & Choo, S. (2015). Journal of Destination Marketing & Management An investigation of the formation of rapport between players and dealers in the casino industry. Journal of Destination Marketing & Management, 1–10.

Kabadayi, S., Ali, F., Choi, H., Joosten, H., & Lu, C. (2019). Smart service experience in hospitality and tourism services: A conceptualization and future research agenda. Journal of Service Management, 30(3), 326–348.

Kim, J. H., & Park, J. W. (2019). The effect of airport self-service characteristics on passengers’ perceived value, satisfaction, and behavioral intention: Based on the SOR model. Sustainability (Switzerland), 11(19).

Kim, J. J., Choe, J. Y. (Jacey), & Hwang, J. (2021). Application of consumer innovativeness to the context of robotic restaurants. International Journal of Contemporary Hospitality Management, 33(1), 224–242.

Kuo, C. M., Chen, L. C., & Tseng, C. Y. (2017). Investigating an innovative service with hospitality robots. International Journal of Contemporary Hospitality Management, 29(5), 1305–1321.

Leung, R., & Loo, P. T. (2022). Co-creating interactive dining experiences via interconnected and interoperable smart technology. Asian Journal of Technology Innovation, 30(1), 45–67.

Lin, J. C., & Hsieh, P. (2011). Assessing the Self-service Technology Encounters: Development and Validation of SSTQUAL Scale. Journal of Retailing, 87(2), 194–206.

Locander, J. A., White, A., & Newman, C. L. (2020). Customer responses to frontline employee complaining in retail service environments: The role of perceived impropriety. Journal of Business Research, 107(December 2018), 315–323.

Parise, S., Guinan, P. J., & Kafka, R. (2016). Solving the crisis of immediacy: How digital technology can transform the customer experience. Business Horizons, 59(4), 411–420.

Sadangharn, P. (2022). A Multidimensional Analysis of Robotic Deployment in Thai Hotels. International Journal of Social Robotics, 14(4), 859–873.

Shahid Iqbal, M., Ul Hassan, M., & Habibah, U. (2018). Impact of self-service technology (SST) service quality on customer loyalty and behavioral intention: The mediating role of customer satisfaction. Cogent Business and Management, 5(1).

Technology, I., & Ivanov, S. H. (2020). The impact of automation on tourism and hospitality jobs. April.

Tuan, N. M. (2022). Customer readiness–customer participation link in e-services. Service Industries Journal, 42(9–10), 738–769.

Voorhees, C. M., Fombelle, P. W., Gregoire, Y., Bone, S., Gustafsson, A., Sousa, R., & Walkowiak, T. (2017). Service encounters, experiences and the customer journey: Defining the field and a call to expand our lens. Journal of Business Research, 79(April), 269–280.

Wong, I. K. A., Huang, J., Lin, Z. (CJ), & Jiao, H. (2022). Smart dining, smart restaurant, and smart service quality (SSQ). International Journal of Contemporary Hospitality Management, 34(6), 2272–2297.

Zhang, Y., Sotiriadis, M., & Shen, S. (2022). Investigating the Impact of Smart Tourism Technologies on Tourists’ Experiences. Sustainability (Switzerland), 14(5).

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Published

2023-07-29

How to Cite

Abdul Ghani, N. M., Ariffin, A. A. M., Yunus, N. S. N. M., & Mohd Salleh, M. Z. (2023). Smart Service Dimensions: Exploring Customer Experience and Participation using Stimulus-Organism-Response Model. Advances in Social Sciences Research Journal, 10(6.2), 283–290. https://doi.org/10.14738/assrj.106.2.14994