Journal of Information Systems Engineering and Management

The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation
Simin Tao 1 * , Yifan Hao 2
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1 Ph.D candidate, Business Administration, Seoul School of Integrated Sciences and Technologies, Seoul, Republic of Korea
2 Ph.D, School of Marxism, Xi'an Shiyou University, Xi’an, China
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 3, Article No: 21742
https://doi.org/10.55267/iadt.07.13610

Published Online: 24 Aug 2023

Views: 730 | Downloads: 1048

How to cite this article
APA 6th edition
In-text citation: (Tao & Hao, 2023)
Reference: Tao, S., & Hao, Y. (2023). The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation. Journal of Information Systems Engineering and Management, 8(3), 21742. https://doi.org/10.55267/iadt.07.13610
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Tao S, Hao Y. The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation. J INFORM SYSTEMS ENG. 2023;8(3):21742. https://doi.org/10.55267/iadt.07.13610
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Tao S, Hao Y. The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation. J INFORM SYSTEMS ENG. 2023;8(3), 21742. https://doi.org/10.55267/iadt.07.13610
Chicago
In-text citation: (Tao and Hao, 2023)
Reference: Tao, Simin, and Yifan Hao. "The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation". Journal of Information Systems Engineering and Management 2023 8 no. 3 (2023): 21742. https://doi.org/10.55267/iadt.07.13610
Harvard
In-text citation: (Tao and Hao, 2023)
Reference: Tao, S., and Hao, Y. (2023). The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation. Journal of Information Systems Engineering and Management, 8(3), 21742. https://doi.org/10.55267/iadt.07.13610
MLA
In-text citation: (Tao and Hao, 2023)
Reference: Tao, Simin et al. "The Impact of Socio-economic Environment on Artificial Intelligence and Technology Adoption: Mediation Moderation of Employee Team Collaboration and Technological Innovation". Journal of Information Systems Engineering and Management, vol. 8, no. 3, 2023, 21742. https://doi.org/10.55267/iadt.07.13610
ABSTRACT
The goal of this study is to determine how the socio-economic environment affects the adoption of artificial intelligence (AI) and technology in Chinese IT organizations while taking into account the mediating effects of employee teamwork and technological innovation. There are 350 employees from different Chinese IT organizations are surveyed online as part of the research's cross-sectional methodology. The study proposes that the adoption of AI and technology is greatly influenced by the socioeconomic situation. It also suggests that the relationship between the socioeconomic environment and the adoption of AI and technology is mediated through employee team collaboration. The relationship between employee team collaboration, AI adoption, and technological innovation is also anticipated to be moderated by technological innovation. The researchers use SPSS (Statistical Package for the Social Sciences) to analyse the data. Descriptive statistics, correlation analysis, mediation analysis, and moderation analysis are some of the statistical approaches used. The findings will offer useful information about how the socioeconomic setting, employee teamwork, and technological advancement affect the adoption of AI and technology across Chinese IT organizations. By presenting actual data on the interactions between the socioeconomic environment, employee collaboration, technology innovation, and the adoption of AI and technology, this study adds to the body of existing work. Organizations will be able to better integrate AI by using the findings to better understand the factors driving technology adoption. The study can help policymakers by providing them with information on the socioeconomic aspects that encourage the use of AI and technology in the IT industry.
KEYWORDS
REFERENCES
  • Abousaber, I., & Abdalla, H. F. (2023). Review of Using Technologies of Artificial Intelligence in Companies. International Journal of Communication Networks and Information Security, 15(1), 101-108. https://doi.org/10.17762/ijcnis.v15i1.5743
  • Abu-Bader, S., & Jones, T. V. (2021). Statistical mediation analysis using the sobel test and hayes SPSS process macro. International Journal of Quantitative and Qualitative Research Methods, 9(1), 42-61. https://doi.org/10.37745/ijqqrm.13
  • Adebayo, T. S., & Kirikkaleli, D. (2021). Impact of renewable energy consumption, globalization, and technological innovation on environmental degradation in Japan: application of wavelet tools. Environment, Development and Sustainability, 23(11), 16057-16082. https://doi.org/10.1007/s10668-021-01322-2
  • Amoako, G., Omari, P., Kumi, D. K., Agbemabiase, G. C., & Asamoah, G. (2021). Conceptual framework—artificial intelligence and better entrepreneurial decision-making: the influence of customer preference, industry benchmark, and employee involvement in an emerging market. Journal of Risk and Financial Management, 14(12), 604. https://doi.org/10.3390/jrfm14120604
  • Cha, J., Kim, Y., Lee, J. Y., & Bachrach, D. G. (2015). Transformational leadership and inter-team collaboration: Exploring the mediating role of teamwork quality and moderating role of team size. Group & Organization Management, 40(6), 715-743. https://doi.org/10.1177/1059601114568244
  • Chatterjee, S., Chaudhuri, R., Kamble, S., Gupta, S., & Sivarajah, U. (2022). Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis. Information Systems Frontiers, 1-16. https://doi.org/10.1007/s10796-022-10317-x
  • Chen, M., Sinha, A., Hu, K., & Shah, M. I. (2021). Impact of technological innovation on energy efficiency in industry 4.0 era: Moderation of shadow economy in sustainable development. Technological Forecasting and Social Change, 164, 120521. https://doi.org/10.1016/j.techfore.2020.120521
  • Cheng, Y., Awan, U., Ahmad, S., & Tan, Z. (2021). How do technological innovation and fiscal decentralization affect the environment? A story of the fourth industrial revolution and sustainable growth. Technological Forecasting and Social Change, 162, 120398. https://doi.org/10.1016/j.techfore.2020.120398
  • Chiu, C. N., & Yang, C. L. (2019). Competitive advantage and simultaneous mutual influences between information technology adoption and service innovation: Moderating effects of environmental factors. Structural Change and Economic Dynamics, 49, 192-205. https://doi.org/10.1016/j.strueco.2018.09.005
  • E Downes, P., Gonzalez‐Mulé, E., Seong, J. Y., & Park, W. W. (2021). To collaborate or not? The moderating effects of team conflict on performance‐prove goal orientation, collaboration, and team performance. Journal of Occupational and Organizational Psychology, 94(3), 568-590. https://doi.org/10.1111/joop.12360
  • Gevers, J. M. P., Rispens, S., & Li, J. (2016). Pacing style diversity and team collaboration: The moderating effects of temporal familiarity and action planning. Group Dynamics, 20(2), 78-92. https://doi.org/10.1037/gdn0000049
  • Huda, M. (2019). Empowering application strategy in the technology adoption: Insights from professional and ethical engagement. Journal of Science and Technology Policy Management, 10(1), 172-192. https://doi.org/10.1108/JSTPM-09-2017-0044
  • Jiang, H., Liu, W., & Jia, L. (2019). How humble leadership influences the innovation of technology standards: A moderated mediation model. Sustainability (Switzerland), 11(19). https://doi.org/10.3390/su11195448
  • Kavandi, H., & Jaana, M. (2020). Factors that affect health information technology adoption by seniors: A systematic review. Health and Social Care in the Community, 28(6), 1827-1842. https://doi.org/10.1111/hsc.13011.
  • Khan, I., & Hou, F. (2021). The impact of socio-economic and environmental sustainability on CO 2 emissions: a novel framework for thirty IEA countries. Social Indicators Research, 155, 1045-1076. https://doi.org/10.1007/s11205-021-02629-3
  • Kour, K., Goswami, S., Sharma, M., Sivasankar, P. T., Vekariya, V., & Kumari, A. (2022). Honeynet Implementation in Cyber Security Attack Prevention with Data Monitoring System Using AI Technique and IoT 4G Networks. International Journal of Communication Networks and Information Security, 14(3), 163-175. https://doi.org/10.17762/ijcnis.v14i3.5603
  • Lathen, L., & Laestadius, L. (2021). Reflections on Online Focus Group Research With Low Socio-Economic Status African American Adults During COVID-19. International Journal of Qualitative Methods, 20, 1-10. https://doi.org/10.1177/16094069211021713
  • Leesakul, N., Oostveen, A. M., Eimontaite, I., Wilson, M. L., & Hyde, R. (2022). Workplace 4.0: Exploring the implications of technology adoption in digital manufacturing on a sustainable workforce. Sustainability, 14(6), 3311. https://doi.org/10.3390/su14063311
  • Liu, H. Y., Wang, I. T., Hsu, D. Y., Huang, D. H., Chen, N. H., Han, C. Y., & Han, H. M. (2020). Conflict and interactions on interdisciplinary nursing student teams: The moderating effects of spontaneous communication. Nurse Education Today, 94, 104562. https://doi.org/10.1016/j.nedt.2020.104562
  • Lu, Z., Mahalik, M. K., Mallick, H., & Zhao, R. (2022). The moderating effects of democracy and technology adoption on the relationship between trade liberalisation and carbon emissions. Technological Forecasting and Social Change, 180, 121712. https://doi.org/10.1016/j.techfore.2022.121712
  • Luo, Y., Wang, Z., Zhang, H., & Chen, A. (2016). The influence of family socio-economic status on learning burnout in adolescents: Mediating and moderating effects. Journal of Child and Family Studies, 25, 2111-2119. https://doi.org/10.1007/s10826-016-0400-2
  • Lv, C., Shao, C., & Lee, C. C. (2021). Green technology innovation and financial development: Do environmental regulation and innovation output matter?. Energy Economics, 98, 105237. https://doi.org/10.1016/j.eneco.2021.105237
  • Nawaz, A., & Guribie, F. L. (2022). Impacts of institutional isomorphism on the adoption of social procurement in the Chinese construction industry. Construction Innovation. Emerald Publishing Limited, ahead-of-print. https://doi.org/10.1108/CI-02-2022-0035
  • Nazir, S., Khadim, S., Asadullah, M. A., & Syed, N. (2023). Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach. Technology in Society, 72, 102190. https://doi.org/10.1016/j.techsoc.2022.102190
  • Nguyen, T. M., & Malik, A. (2022). Impact of knowledge sharing on employees’ service quality: the moderating role of artificial intelligence. International Marketing Review, 39(3), 482-508. https://doi.org/10.1108/IMR-02-2021-0078
  • Nouraldeen, R. M. (2022). The impact of technology readiness and use perceptions on students’ adoption of artificial intelligence: the moderating role of gender. Development and Learning in Organizations, 37(3), 7-10. https://doi.org/10.1108/DLO-07-2022-0133
  • Ogunfowora, B., Stackhouse, M., Maerz, A., Varty, C., Hwang, C., & Choi, J. (2021). The impact of team moral disengagement composition on team performance: The roles of team cooperation, team interpersonal deviance, and collective extraversion. Journal of Business and Psychology, 36, 479-494. https://doi.org/10.1007/s10869-020-09688-2
  • Rabbani, M. R., Lutfi, A., Ashraf, M. A., Nawaz, N., & Ahmad Watto, W. (2023). Role of artificial intelligence in moderating the innovative financial process of the banking sector: a research based on structural equation modeling. Frontiers in Environmental Science, 10, 2083. https://doi.org/10.3389/fenvs.2022.978691
  • Sandra Marcelline, T. R., Chengang, Y., Ralison Ny Avotra, A. A., Hussain, Z., Zonia, J. E., & Nawaz, A. (2022). Impact of green construction procurement on achieving sustainable economic growth influencing green logistic services management and innovation practices. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.815928
  • Seeber, I., Bittner, E., Briggs, R. O., De Vreede, T., De Vreede, G. J., Elkins, A., ... & Söllner, M. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information & management, 57(2), 103174. https://doi.org/10.1016/j.im.2019.103174
  • Sun, H., Edziah, B. K., Kporsu, A. K., Sarkodie, S. A., & Taghizadeh-Hesary, F. (2021). Energy efficiency: The role of technological innovation and knowledge spillover. Technological Forecasting and Social Change, 167, 120659. https://doi.org/10.1016/j.techfore.2021.120659
  • Urbano, D., Guerrero, M., Ferreira, J. J., & Fernandes, C. I. (2019). New technology entrepreneurship initiatives: Which strategic orientations and environmental conditions matter in the new socio-economic landscape?. The Journal of Technology Transfer, 44, 1577-1602. https://doi.org/10.1007/s10961-018-9675-3
  • Wijayati, D. T., Rahman, Z., Rahman, M. F. W., Arifah, I. D. C., & Kautsar, A. (2022). A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership. International Journal of Manpower, 43(2), 486-512. https://doi.org/10.1108/IJM-07-2021-0423
  • Yu, T. K., Lin, M. L., & Liao, Y. K. (2017). Understanding factors influencing information communication technology adoption behavior: The moderators of information literacy and digital skills. Computers in Human Behavior, 71, 196-208. https://doi.org/10.1016/j.chb.2017.02.005
  • Zeng, X., Li, S., & Yousaf, Z. (2022). Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator?. Sustainability (Switzerland), 14(14). https://doi.org/10.3390/su14148286
  • Zhang, W., Zhao, Y., Tian, L., & Liu, D. (2017). Boundary-spanning demand-side search and radical technological innovations in China: The moderation of innovation appropriability. Management Decision, 55(8), 1749-1769. https://doi.org/10.1108/MD-04-2016-0236
  • Zhang, Y., Khan, U., Lee, S., & Salik, M. (2019). The influence of management innovation and technological innovation on organization performance. A mediating role of sustainability. Sustainability, 11(2), 495. https://doi.org/10.3390/su11020495
  • Zhu, Y. Q., Gardner, D. G., & Chen, H. G. (2018). Relationships Between Work Team Climate, Individual Motivation, and Creativity. Journal of Management, 44(5), 2094-2115. https://doi.org/10.1177/0149206316638161
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