“How mAy I help you today?” The use of AI chatbots in small family businesses and the moderating role of customer affective commitment
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Anthropomorphic communication cues enhance user experiences through social presence by creating a psychological connection between the chatbot and the user.
“Anthropomorphic communication cues enhance user experiences through social presence by creating a psychological connection between the chatbot and the user (Rizomyliotis etal.2022).”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Rizomyliotis et al. 2022
Alternative frameworks such as the human-machine communication theory, derived from the TAM, have been applied.
“Instead, alternative frameworks such as the human- machine communication theory (Guzman and Lewis2020), derived from the TAM, have been applied (Rizomyliotis et al. 2022).”
From Consumer Response to Anthropomorphism of Text‐Based <scp>AI</scp> Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Rizomyliotis et al. 2022
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Understanding customer experience throughout the customer journey
Lemon, K. N., & Verhoef, P. C. (2016) · Journal of Marketing · doi:10.1509/jm.15.0420 · Cited by 5,765 · see citing works
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · see citing works
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978 · see citing works
Technology acceptance model: a literature review from 1986 to 2013
Marangunić, N., & Granić, A. (2015) · Universal Access in the Information Society · doi:10.1007/s10209-014-0348-1 · Cited by 2,458 · see citing works
Scherer, R., Siddiq, F., & Tondeur, J. (2019) · Computers & Education · doi:10.1016/j.compedu.2018.09.009 · Cited by 1,923 · see citing works
Harrison-Walker, L. J. (2001) · Journal of Service Research · doi:10.1177/109467050141006 · Cited by 1,583 · see citing works
Go, E., & Sundar, S. S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.020 · Cited by 1,089 · see citing works
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,027 · see citing works
Developing and validating a service robot integration willingness scale
Lu, L., Cai, R., & Gursoy, D. (2019) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2019.01.005 · Cited by 1,013 · see citing works
Qiu, L., & Benbasat, I. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222250405 · Cited by 737 · see citing works
Customer service chatbots: Anthropomorphism and adoption
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.030 · Cited by 667 · see citing works
Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402 · see citing works
Lee, S., & Choi, J. (2017) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2017.02.005 · Cited by 388 · see citing works
Re-examining online customer experience to include purchase frequency and perceived risk
Martin, J., Mortimer, G., & Andrews, L. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.03.008 · Cited by 321 · see citing works
The effect of social presence and chatbot errors on trust
Toader, D.-C., Boca, G., Toader, R., Măcelaru, M., Toader, C., Ighian, D., & Rădulescu, A. T. (2019) · Sustainability · doi:10.3390/su12010256 · Cited by 233 · see citing works
Cooper, M. J., Upton, N., & Seaman, S. (2005) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2005.00136.x · Cited by 198 · see citing works
The unique role of relationship marketing in small businesses’ customer experience
Gilboa, S., Seger-Guttmann, T., & Mimran, O. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.06.004 · Cited by 103 · see citing works
Marketing (in) the Family Firm
Reuber, A. R., & Fischer, E. (2011) · Family Business Review · doi:10.1177/0894486511409979 · Cited by 37 · see citing works
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The new normal: The status quo of AI adoption in SMEs
Schwaeke, J., Peters, A., Kanbach, D. K., Kraus, S., & Jones, P. (2025) · Journal of Small Business Management · doi:10.1080/00472778.2024.2379999 · Cited by 241 · see citing works
Greilich, A., Bremser, K., & Wüst, K. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70108 · Cited by 47 · see citing works
- Authors
- Rizomyliotis, I., Kastanakis, M. N., Giovanis, A., Konstantoulaki, K., & Kostopoulos, I.
- Affiliations
- University of West Attica (GR)
- ESCP Business School (GB)
- Liverpool John Moores University (GB)
- Corresponding author
- Rizomyliotis, Ioannis
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 153
- Pages
- 329-340
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W4293708047
- Cited by
- 85
- References
- 19
- Citations by year
- 2026: 16 · 2025: 32 · 2024: 19 · 2023: 17 · 2022: 1
- FWCI
- 5.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- Liverpool John Moores University (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- AI chatbots, small family businesses, customer experience, customer satisfaction, human-machine communication, moderating effect
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