Article Details
Vol. 4 No. 2 (2024): Desember
Pengaruh GAAIS terhadap Personal Innovativeness: Sikap pada Lintas Generasi
Purpose: To see the attitude of AI towards personal innovativeness and to see the differences in attitudes between generation Z and previous generations
Research methodology: Respondents in this study are 1,293 people consisted of entrepreneurs and professional workers covering generation Z and previous generations.
Results: GAAIS has influence of 9.5% on personal innovativeness, bus the data showa no statistically significant difference in attitude towards AI between cross-generational.
Limitations: The analysis in this study still requires the addition of more in-depth variables such as personality, trust, social and subject norms to be able to predict attitudes towards AI in more depth.
Contribution: This study is expected to provide deeper insight into the influence of attitudes towards AI on personal innovativeness, considering that in the future AI will be close on society.
- Alkawsi, G., Ali, N., & Baashar, Y. (2021). The Moderating Role of Personal Innovativeness and Users Experience in Accepting the Smart Meter Technology. Applied Science, 11, 3297. doi:10.3390/app11083297
- Bendbya, H., Davenport, T. H., & Pachidi, S. (2020). Artificial Intelligence in Organizations: Current State and Future Opportunities. MIS Quarterly Executive, 19(4), 9-21. doi:10.2139/ssrn.3741983
- Boonprasert, M. (Ed.). (2021). Apheit International Journal (Vol. 10). Thailand: The Association of Private Higher Education Institutions of Thailand under the Patronage of Her Royal Highness Princess Maha Chakri Sirindhorn (APHEIT).
- Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2020). The Strategic Use of Artificial Intelligence in the Digital Era: Systematic Literature Review and Future Research Directions. International Journal of Information Management, (). doi:10.1016/j.ijinfomgt.2020.102225
- Calvo-Porral, C., & Pesqueira-Sanchez, R. (2019). Generational differences in technology behaviour: comparing millennials and Generation X. Kybernetes, 49(11), 2755-2772. doi:https://doi.org/10.1108/K-09-2019-0598
- Chan, C. K., & Lee, K. K. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environment, 10(60). doi:10.1186/s40561-023-00269-3
- Corporation, I. (2022). IBM Global AI Adoption Index 2022. United States of America. Retrieved from https://www.ibm.com/downloads/cas/GVAGA3JP
- Darma, B. (2021). Statistika Penelitian Menggunakan SPSS. Yogyakarta: GUEPEDIA.
- Francis, T., & Hoefel, F. (2018). ‘True Gen’: Generation Z and its Implications for Companies. Mckinsey&Company.
- Hill, R. (2017). Embracing Digital: Key Considerations for Publishers, Marketers and Customers. Information Service & Use, 37(3), 349-354. doi:10.3233/ISU-170845
- Huang, M.-H., Rush, R., & Maksimovic, V. (2019). The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI). California Management Review, 61(4), 1-23. doi:https://doi.org/10.1177/0008125619863436
- Jiyoung, P., & Sang, W. E. (2022). Who Likes Artificial Intelligence? Personality Predictors of Attitudes toward Artificial Intelligence. The Journal of Psychology, 156(1), 68-94. doi:10.1080/00223980.2021.2012109
- Kaya, F., Aydin, F., Schepman, A., Roadway, P., Yetisensoy, O., & Kaya, M. D. (2022). The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. International Journal Of Human–Computer Interaction, 40(2), 497-514. doi:https://doi.org/10.1080/10447318.2022.2151730
- Lichtenthaler, U. (2019). Extremes of acceptance: employee attitudes toward artificial intelligence. Journal of Business Strategy, 41(5), 39-45. doi:https://doi.org/10.1108/JBS-12-2018-0204
- Liu, J., Chang, H., Forrest, J. Y.-L., & Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors. Technological Forecasting & Social Change, 158. doi:10.1016/j.techfore.2020.120142
- Mohammad, M. M., Poursaberi, R., & Salahshoor, M. R. (2018). Evaluating the Adoption of Evidence-Based Practice Using Rogers’s Diffusion of Innovation Theory: A Model Testing Study. Health Promotion Perspective, 8(1), 25-32. doi:10.15171/hpp.2018.03
- N.N., M., & Dixit, Y. (2020). IoT, Big Data and Artificial Intelligence in Agriculture and Food Industry. IEEE Internet of Things Journal, PP99, 1-1. doi:10.1109/JIOT.2020.2998584
- Sahoo, R. (2021). Researching Children and Childhoods in India. New Delhi: School of Open Learning.
- Schepman, A., & Roadway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behavior Reports, 1. doi:https://doi.org/10.1016/j.chbr.2020.100014
- Schepman, A., & Roadway, P. (2023). The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust. International Journal of Human–Computer Interaction, 39(13), 2724-2741. doi:10.1080/10447318.2022.2085400
- Silvia, V. (2021). Statistika Deskriptif . Yogyakarta: Andi Offset. Retrieved July 15, 2024
- Vargo, S. L., & Akaka, M. A. (2020). Rethinking the Process of Diffusion in Innovation: A Service-Ecosystems and Institutional Perspective. Journal of Business Research, 116, 526-534. doi:https://doi.org/10.1016/j.jbusres.2020.01.038
- Vargo, S. L., Wieland, H., & Akaka, M. A. (2015). Innovation Through Institutionalization: A service Ecosystems Perspective. Industrial Marketing Management, 44, 63-72. doi:https://doi.org/10.1016/j.indmarman.2014.10.008
- Verganti, R., Vendraminelli, L., & Lansiti, M. (2020). Innovation and Design in the Age of Artificial Intelligence. Journal of Product Innovation Management, 37(3), 212-227. doi:10.1111/jpim.12523
- Wörndl, W., Koo, C., & Stienmetz, J. L. (Eds.). (2021). Information and Communication Technologies in Tourism 2021: Proceedings of the ENTER 2021 ETourism Conference, January 19–22, 2021. Switzerland: Springer International Publishing.

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