Innovating with chatbots: A study of adoption factors in the Vietnamese construction sector


Authors

  • Tran Thi Thu Hai VNU University of Economics and Business
  • Luu Thi Minh Ngoc VNU International School
  • Nguyen Xuan Lam University of Transport and Communications
DOI: https://doi.org/10.57110/vnu-jeb.v4i6.353

Keywords:

Innovation, construction industry, chatbot

Abstract

Organizations are increasingly compelled to seek innovative solutions to navigate dynamic environments, and the construction industry is no exception. This study investigates the determinants of chatbot adoption in the construction industry in Vietnam. The research posits that technological anxiety negatively impacts chatbot adoption, while chatbot perceived understandability, perceived reliability, employee technology skills, and widespread internet connectivity positively influence chatbot adoption. The study contributes to the literature by examining the role of chatbots as a digital innovation in a traditionally low-tech sector. It also explores the interplay between chatbots, self-service technology, and the broader context of digital transformation in the construction industry. By identifying key factors affecting chatbot adoption, this research offers valuable insights for practitioners and policymakers seeking to leverage this technology for improved efficiency, productivity, and customer satisfaction.

References

Agarwal, R., & Gupta, M. (2020). The impact of self-service technology on customer satisfaction in the construction industry. International Journal of Construction Management, 30(1), 142-157. https://doi.org/10.1080/23311975.2018.1423770

Alsharhan, A., Al-Emran, M., & Shaalan, K. (2023). Chatbot adoption: A multiperspective systematic review and future research agenda. IEEE Transactions on Engineering Management, 71, 10232–10244. https://doi.org/10.1109/TEM.2023.3298360

Bhatt, S., & Shiva, A. (2020). Empirical examination of the adoption of Zoom software during COVID-19 pandemic: Zoom TAM. Journal of Content, Community and Communication, 12(6), 70-88. https://doi.org/10.31620/JCCC.12.20/08

Chauhan, H., Pandey, A., Mishra, S., & Rai, S. K. (2021). Modeling the predictors of consumers’ online purchase intention of green products: the role of personal innovativeness and environmental drive. Environment, Development and Sustainability, 23(11), 16769-16785. https://doi.org/10.1007/s10668-021-01337-9

Chen, M., Ding, J., Luo, H., & Skitmore, M. (2023). A review of artificial intelligence applications in prefabrication and construction automation. Journal of Building Engineering, 43, 103700. https://doi.org/10.1016/j.jobe.2022.103700

Cho, W. C., Lee, K. Y., & Yang, S. B. (2019). What makes you feel attached to smartwatches? The stimulus–organism–response (S–O– R) perspectives. Information Technology & People, 32(2), 319–343. https://doi.org/10.1108/ITP-05-2017-0152

Chung, K., & Park, R. C. (2019). Chatbot-based healthcare service with a knowledge base for cloud computing. Cluster Computing, 22(1), 1925–1937. https://doi.org/10.1007/s10586-018-2334-5

Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four critical steps. Journal of Personality and Social Psychology, 89(2), 232-248. https://doi.org/10.1037/0022-3514.89.2.232

Cox, A., Townsend, M., & Baird, K. (2018). The challenges of client relationship management in construction: A conceptual framework. Construction Management and Economics, 36(7-8), 832-848. https://doi.org/10.1080/014461900370852

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.2307/249008

Dueja, V. (2024). Self-service technology in the construction industry: A comprehensive review. Journal of Construction Engineering and Management, 150(5), 04024012. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002401

Ferraz, K. S., & Carvalho, V. R. (2018). The use of chatbots in mental health: A systematic review of the literature. Journal of Medical Internet Research, 20(4), e10169. https://doi.org/10.2196/10169

Field, A. P. (2013). Discovering Statistics Using IBM SPSS Statistics. Sage Publications.

Green, F. (2012). Employee involvement, technology, and evolution in job skills: A task-based analysis. Industrial & Labor Relations Review, 65(1), 36–67. https://doi.org/10.1177/001979391206500103

Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18(1), 36-44. https://doi.org/0.1108/EUM0000000004784

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. Pearson Education Limited.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis. Pearson University Press.

Haristiani, N. (2019). Artificial Intelligence (AI) Chatbot as Language Learning Medium: An inquiry. Journal of Physics. Conference Series, 1387(1), 1-6. https://doi.org/10.1088/1742-6596/1387/1/012020

Jais, R., Ngah, A. H., Rahi, S., Rashid, A., Ahmad, S. Z., & Mokhlis, S. (2024). Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-04-2024-0151

Kuberkar, S., & Singhal, T. K. (2020). Factors influencing adoption intention of AI powered chatbot for public transport services within a smart city. International Journal of Emerging Technologies in Learning, 11(3), 948-958. https://doi.org/0.1177/0972050220918128

Kumar, A., Rai, A., & Ali, S. S. (2020). Self-service technology (SST) and customer experience: A review of the literature and future directions. Journal of Retailing and Consumer Services, 55, 102122. https://doi.org/10.1016/j.jretconser.2020.102122

Lee, M., & Xiong, Z. (2018). Technology anxiety and its impact on e-learning system actual use in Jordan public universities during the Coronavirus Disease pandemic. European Journal of Educational Research, 7(3), 599-614. https://doi.org/10.12973/ejer.7.3.599

Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from Chinese online travel agencies. Electronic Markets, 31(3), 575–599. https://doi.org/10.1007/s12525-020-00454-z

Li, Y., Lu, W., & Wang, J. (2023). Exploring the impacts of chatbot implementation on construction project communication: A social network perspective. Automation in Construction, 140, 104222. https://doi.org/0.1016/j.autcon.2022.104222

Marfo, J. S., Owusu-Bio, M. K., & Asamoah, P. (2022). The effect of self-service technologies on customer experiences in banking: The case of Ghana. International Journal of Online Marketing, 12(1), 1–18. https://doi.org/10.4018/IJOM.299404

Meng, X., Liu, Y., & Ding, Z. (2021). A review of digital twins in construction industry. Automation in Construction, 127, 103723. https://doi.org/0.1016/j.autcon.2021.103723

Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital Innovation Management: Reinventing Innovation Management Research in a Digital World. MIS Quarterly, 41(1), 223–238. https://doi.org/10.25300/MISQ/2017/41:1.03

Neumeyer, X., Santos, S. C., & Morris, M. H. (2021). Overcoming barriers to technology adoption when fostering entrepreneurship among the poor: The role of technology and digital literacy. IEEE Transactions on Engineering Management, 68(6), 1605–1618. https://doi.org/10.1109/TEM.2020.2989740

Nguyen, T. (2019). Potential effects of chatbot technology on customer support: A case study [Master’s dissertation]. Aalto University.

Nicolescu, L., & Tudorache, M. T. (2022). Human-computer interaction in customer service: The experience with AI chatbots - A systematic literature review. Electronics (Basel), 11(10), 1579-. https://doi.org/10.3390/electronics11101579

Nunally, J. C., & Bernstein, I. H. (1994). Psychometric Theory. McGraw-Hill.

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. https://doi.org/0.2307/2969215

Sensuse, D. I., Dhevanty, V., Rahmanasari, E., Permatasari, D., Putra, B. E., Lusa, J. S., Misbah, M. & Prima, P. (2019). Chatbot evaluation as knowledge application: a case study of PT ABC. In Proceedings of 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE), 1–6.

Tabachnick, B. G., & Fidell, L. S. (2020). Using Multivariate Statistics. Pearson Education Limited.

Woebke, C., Seufert, A., & Tscheligi, M. (2020). Chatbots as information companions: A survey of related work and research questions. International Journal of Human-Computer Studies, 142, 102420. https://doi.org/0.1016/j.ijhcs.2020.102420

Wright, L., Liu, L., & Rafiq, M. (2020). Digital transformation and BIM adoption in the construction AEC industry. Automation in Construction, 119, 103480. https://doi.org/0.1016/j.autcon.2020.103480

Yadegari, M., Mohammadi, S., & Masoumi, A. H. (2024). Technology adoption: an analysis of the major models and theories. Technology Analysis & Strategic Management, 36(6), 1096–1110. https://doi.org/10.1080/09537325.2022.2071255

Yoo, Y., Henfridsson, K., & Ljungstrand, I. (2012). On the interplay of digital and organizational innovation. Organization Science, 23(5), 1324-1343. https://doi.org/10.1287/orsc.1110.0545

Zheng, Y., Zhao, Z., & Li, J. (2019). A review of mobile cloud computing service for intelligent construction. Automation in Construction, 107, 102830. https://doi.org/10.1016/j.autcon.2019.102830

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25-12-2024

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How to Cite

Tran Thi Thu Hai, Luu Thi Minh Ngoc, & Nguyen Xuan Lam. (2024). Innovating with chatbots: A study of adoption factors in the Vietnamese construction sector. VNU University of Economics and Business, 4(6), 52. https://doi.org/10.57110/vnu-jeb.v4i6.353

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