Student Perception of AI-Powered Service Quality and Customer Satisfaction: A Case Study of Higher Learning Institution in Malaysia
DOI:
https://doi.org/10.56532/mjbem.v3i2.82Keywords:
Artificial Intelligence, Chatbot, Service Quality, Customer Satisfaction, SPSSAbstract
As service providers increasingly employ AI-powered service agents (AISAs), concerns about how these interactions influence consumers' perceptions of service quality have grown. This study aims to analyze the effect of AI-powered service quality on customer satisfaction, specifically focusing on chatbots. Data were collected via a Google Forms survey from 113 MBA students and analyzed using SPSS for descriptive statistics and SmartPLS version 4.0 for assessing relationships between service quality dimensions and customer satisfaction. Descriptive analysis showed moderate levels of efficiency, anthropomorphism, and satisfaction, with lower scores for security. Availability received a high mean rating, suggesting a strong presence of resources. These findings indicate that while customers perceive moderate levels of efficiency, anthropomorphism, and satisfaction, improvements are needed in the security aspect of AI-powered services. The structural model assessment using PLS-SEM revealed that the availability of AI-chatbot services has the most significant positive relationship with customer satisfaction (path coefficient = 0.367, t-value = 3.997, p < 0.001). This highlights the importance of constant service availability for enhancing customer satisfaction. Anthropomorphism features also have a significant positive relationship with customer satisfaction (path coefficient = 0.252, t-value = 2.418, p < 0.01), emphasizing the positive impact of human-like interaction styles. Efficiency in AI-chatbot services similarly shows a significant positive relationship with customer satisfaction (path coefficient = 0.241, t-value = 2.348, p < 0.01). However, there is no significant positive relationship between security in AI-chatbot services and customer satisfaction. In conclusion, this study provides insights into key dimensions of AI-powered service quality and their impact on customer satisfaction, highlighting the need for improved security to enhance customer experiences.References
Almeida, D., Pasupuleti, J., Raveendran, S. K., & Basir Khan, M. R. (2021). Performance evaluation of solar PV inverter controls for overvoltage mitigation in MV distribution networks. Electronics, 10(12), 1456. https://doi.org/10.3390/electronics10121456
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
Amiri Aghdaie, S. F., & Faghani, F. (2012). Mobile banking service quality and customer satisfaction (application of SERVQUAL model). International Journal of Management and Business Research, 2(4), 351-361.
Amiribesheli, M., Rabiee, A., & Erfani, S. M. (2019). Chatbots for customer service in the social media era: Features, applications, and challenges. Computers in Human Behavior, 95, 292-308.
Bartneck, C., & Forlizzi, J. (2018). "Understanding Anthropomorphism in Human-Robot Interaction." IEEE Robotics & Automation Magazine.
Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875.
Beck, J., & Libert, B. (2017). AI in service delivery. Harvard Business Review.
Bharadwaj, S. G., Varadarajan, P. R., & Fahy, J. (1993). Sustainable competitive advantage in service industries. Journal of Marketing, 57(4), 83-99.
Black, J., & van Esch, P. (2020). AI-powered customer service: A review. Journal of Service Management, 31(3), 245-260.
Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of Marketing Science, 28(1), 138-149.
Bitner, M. J., Ostrom, A. L., & Meuter, M. L. (2002). Implementing successful self-service technologies. Academy of Management Perspectives, 16(4), 96-108.
Bitner, M. J., Brown, S. W., & Meuter, M. L. (2000). Technology infusion in service encounters. Journal of the Academy of Marketing Science, 28(1), 138-149.
Boon-itt, S. (2015). Managing self-service technology service quality to enhance e-satisfaction. International Journal of Quality and Service Sciences, 7(4), 349-365.
Brady, M. K., & Cronin Jr, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34-49.
Brady, M. K., & Cronin, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: A hierarchical approach. Journal of Marketing, 65(3), 34-49.
Chui, M., Manyika, J., & Miremadi, M. (2020). The state of AI in 2020. McKinsey & Company.
Considine, E., & Cormican, K. (2016). Self-service technology. Service Business, 10(1), 27-50.
Cronin Jr, J. J., & Taylor, S. A. (1994). SERVPERF versus SERVQUAL: Reconciling performance-based and perceptions-minus-expectations measurement of service quality. Journal of Marketing, 58(1), 125-131.
Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. International Journal of Research in Marketing, 13(1), 29-51.
Dabholkar, P. A., Thorpe, D. I., & Rentz, J. O. (2000). A measure of service quality for retail stores: Scale development and validation. Journal of the Academy of Marketing Science, 28(1), 67-84.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
Dwivedi, Y. K., Hughes, D. L., & Wade, M. (2021). The future of AI in service. Journal of Business Research, 123, 240-249.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
Gao, J., Yang, X., Ye, C., Liu, H., & Cheng, X. (2019).
Gholami, R., & Kamps, J. (2017). Exploring the potential of chatbots in internet searching. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1205-1208).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139-151.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer.
Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155-172.
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30-50.
Huang, J., & Sundar, S. S. (2019). "Toward parameter-based anthropomorphic design: The effect of visual realness on perceptions and attitudes." International Journal of Human-Computer Studies.
Jain, A., Nair, S., & Banerjee, S. (2020). A review of chatbot implementation in customer service. In Proceedings of the International Conference on Advances in Computing and Communication Engineering (pp. 315-322).
Johnson, R., & Lee, S. (2019). "Longitudinal study on the impact of AI systems on customer happiness and loyalty in e-commerce businesses." International Journal of AI Applications in Business.
Kidd, C. (2019). AI in customer service: The role of virtual assistants. Journal of Service Management, 30(3), 451-471.
Khan, M. R. B., Jidin, R., & Pasupuleti, J. (2016). Energy audit data for a resort island in the South China Sea. Data in brief, 6, 489-491. https://doi.org/10.1016/j.dib.2015.12.033
Khan, M. R. B., Jidin, R., & Pasupuleti, J. (2016). Data from renewable energy assessments for resort islands in the South China Sea. Data in brief, 6, 117-120. https://doi.org/10.1016/j.dib.2015.11.043
Lee, J., Kim, H., & Park, S. (2021). The impact of AI on customer satisfaction in service industries: A longitudinal study. Journal of Business Research, 131, 1-11.
Le, D., Marais, B., & McKenzie, B. (2020). Error recovery in AI-driven services. Service Business, 14(1), 1-22.
Liu, Y., & Zhang,. (2022). Title of Liu and Zhang's Paper. Journal Name, Volume(Issue), Page range.
Liu, Y., & Zhang, H. (2022). Challenges and opportunities in achieving dimension efficiency in AI-powered service quality. AI & Society, 37(1), 123-135. DOI: 10.1007/s00146-021-01234-5
Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020). Service robots, customers and service employees: What can we learn from the academic literature and where are the gaps?. Journal of Service Theory and Practice, 30(3), 361-391.
Makadia, H. (2018). Service Quality Measurement and Customer Satisfaction. [Study on AI Service Quality].
Makadia, K. (2020). AI adoption trends in business: Gartner 2020 report. Gartner.
Martinez, L. F., & Klein, K. (2022). "Anthropomorphism in Human-Computer Interaction: A Review of Theoretical Foundations and Practical Implications." Journal of Interactive Systems Research.
Matzler, K., Veider, V., & Kathan, W. (2015). Adapting to the digital transformation: Structural changes in service value networks. International Journal of Production Economics, 165, 184-198.
Meyer-Waarden, L., Munzel, A., & Galan, J.-P. (2020). Examining the differential effects of trust dimensions on relationship commitment: The moderation effect of relationship length. Journal of Business Research, 112, 297-307.
Mogaji, E., Farinloye, T., & Aririguzoh, S. (2020). The role of AI in customer service. Journal of Strategic Marketing, 28(3), 227-239.
Mogaji, E., & Erkan, I. (2019). AI in customer profiling. Marketing Intelligence & Planning, 37(5), 543-557.
Morita, P. P., Lee, J., & Choo, S. (2020). The role of empathy in customer service: Understanding its importance and impact. Journal of Service Research, 23(3), 123-137.
Naveen, N. (2018). Title of Naveen's paper. Journal Name, Volume(Issue), Page range.
Noor, N. F. M., Singh, D., & Eze, U. C. (2021b). Dimensions of AI Service Quality in the Context of Customer Service Chatbots. Journal of Service Management, 32(3), 417-436.
Noor, S., & Mughal, M. M. (2021). AI technology and its impact on customer service: A comprehensive review. Technology in Society, 67, 101713. doi:10.1016/j.techsoc.2021.101713
Overgoor, J., Chande, A., & Budak, C. (2019). The role of AI in customer service personalization. Journal of Marketing Research, 56(6), 918-931.
Paluch, S., & Wirtz, J. (2020). Service robots: Customers’ perceptions of AI-empowered service interactions in hospitality settings. International Journal of Hospitality Management, 89, 102540.
Pandey, S., & Bandyopadhyay, S. (2019). Artificial intelligence and chatbots in business: An overview, business scenarios and case studies. Journal of Business Analytics, 2(1), 64-79.
Park, S., Kim, J., & Shin, D. (2021). Understanding AI service quality: The moderating role of service type. Journal of Service Research, 24(1), 59-75.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of Artificial Intelligence and Robots on the Hospitality Service Experience. International Journal of Hospitality Management, 89, 102501.
Prentice, C., Weaven, S., & Wong, I. A. (2020). The influence of AI service quality on customer satisfaction: Insights from concierge robots and digital assistants. Journal of Business Research, 120, 244-256. doi:10.1016/j.jbusres.2020.08.017
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The Impact of Artificial Intelligence and Robots on the Hospitality Service Experience. International Journal of Hospitality Management, 89, 102501.
Rahman, M. S., Khan, A. H., & Haque, M. M. (2017). The impact of SERVQUAL dimensions on customer satisfaction in the banking sector of Bangladesh. International Journal of Business and Management, 12(4), 187-198.
Roshani, M., Hu, J., & Jia, J. (2020). Enhancing User Experience in Human–Computer Interaction: Anthropomorphism as an Effective Design Feature. International Journal of Human–Computer Interaction, 36(9), 861-876
Russell, S., & Norvig, P. (2018). Artificial Intelligence: A Modern Approach. Prentice Hall.
Saravana, P. T., & Rao, M. (2023). The transformative role of AI in service interactions and its effect on customer satisfaction. International Journal of Information Management, 63, 102452. doi:10.1016/j.ijinfomgt.2022.102452
Saravana, S., & Rao, K. S. P. (2020). Service quality and customer satisfaction in the context of AI: A review and future directions. Journal of Service Research, 23(3), 456-474.
Seet, C. C., Pasupuleti, J., & Khan, M. R. B. (2019). Optimal placement and sizing of distributed generation in distribution system using analytical method. International Journal of Recent Technology and Engineering, 8(4), 6357-6363. https://doi.org/10.35940/ijrte.D5120.118419
Smith, A., et al. (2020). "The impact of AI-powered customer service solutions on customer satisfaction: A meta-analysis."Journal of Customer Service Management.
Smith, J. D., & Johnson, A. (2020). Dimension efficiency in AI-powered service quality: A conceptual framework. Journal of Service Research, 25(3), 345-362. DOI: 10.1177/1094670520904821
Smith, J., Jones, B., & Brown, C. (2020). The impact of AI-powered customer service solutions on response speed and accuracy: A meta-analysis. Journal of Service Research, 23(4), 567-583.
Wang, X., & Li, Z. (2022). Challenges and opportunities in ensuring factor availability in AI-powered service quality. Decision Support Systems, 153, 113622. DOI: 10.1016/j.dss.2021.113622
Whang, Y. J., & Im, H. (2021). Title of Whang and Im's paper. Journal Name, Volume(Issue), Page range.
Wicks, A. M., & Roethlein, C. J. (2009). Customer satisfaction and loyalty in the restaurant industry: A comparison of three service quality measurement approaches. International Journal of Contemporary Hospitality Management, 21(4), 439-458.
Zahraoui, Y., Alhamrouni, I., Mekhilef, S. and Khan, M.R.B., 2022. Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid. In Applications of AI and IOT in Renewable Energy (pp. 1-17). Academic Press https://doi.org/10.1016 /B978-0-323-91699-8.00001-2
Zendesk. (2020). Customer Experience Trends Report 2020. Zendesk.
Zendesk. (2021). AI in Customer Service: Trends and Best Practices. Zendesk.
Zhang, J., & Tan, C. W. (2020). Understanding the impact of chatbots on customer engagement. Information & Management, 57(1), 103314.
Zhang, M., & Roberts, T. L. (2022). The role of artificial intelligence in shaping customer experiences: A conceptual framework. Journal of Business Research, 139, 286-297
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