Abstract :

Digital Twins technology can provide various benefits for a company, including asset management and operational efficiency. PT Dayamitra Telekomunikasi, Tbk (Mitratel) started a trial of using Digital Twins in its use faced with challenges in the adoption of digital twins. In adopting digital twins in the Mitratel company, this study explores the relationship between UTAUT-1 parameters, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) with Behaviour Intention (BI). In addition, this study will also look at the role of Technology Readiness (TR) parameters which consist of Optimism (OPT), Innovativeness (INN), Discomfort (DIS), and Insecurity (INS) parameters where these parameters moderate the relationship between UTAUT-1 parameters and Behaviour Intention (BI). The study used a Quantitative Method with a Likert scale on 307 random employee respondents who were processed using the Partial Least Square (PLS) model. The results showed that the Performance Expectancy (PE) parameter has a significant effect on Behavior Intention (BI) of using Digital Twins, while for other UTAUT-1 parameters it does not have a significant effect on Behaviour Intention (BI). Although the value of the Technology Readiness (TR) parameter is at the level of 3.21, the role of the Technology Readiness (TR) parameter does not significantly affect the relationship between the UTAUT-1 parameters on Behavior Intention (BI). The implication of the results of this analysis is that companies can develop the right Digital Twins features because the Performance Expectancy (PE) parameter has the most significant level of influence on Behavior Intention (BI). In addition, companies can also implement a training approach among employees to manage the level of Optimism (OPT) parameters while reducing the impact of high Discomfort (DIS) levels.

---

Keywords :

Behaviour Intention, Digital Twins, Technology Readiness, UTAUT.

---

References :

1. Hendrawan R., Nugroho,K. “Telecommunication Sector Reform in Southeast Asia: A New Rationality”. GATR Global Journal of Business Social Sciences Review. 2018
2. Wellington Capital Advisory. 2021. The Tower industry in Indonesia. Wellington Capital Advisory.
3. 2023. TowerXchange’s Asia guide. TowerXChange.
4. Arias, J and et al. 2022. Tower Companies Explore New Avenues for Growth. BCG.
5. Medeisis,A and Radis,D. 2022. Design Principles for Consolidated Digital Twin of a Telecommunication Tower. 2022 IEEE Open Conference of Electrical, Electronic and Information Sciences, eStream 2022 – Proceedings.
6. Binotto,A, Panikkar,S, and et al. 2023. Transforming telecom tower workflows with IBM Digital Twin Platform on AWS. IBM.
7. Venkatesh, V and et al. 2003. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly.
8. Venkatesh, V and et al. 2012. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Behavioral Marketing eJournal
9. Al-Riyami, T, Al-Maskari, A, and Al-Ghnimi, S. 2023. Faculties Behavioural Intention Toward the Use of the Fourth Industrial Revolution Related-Technologies in Higher Education Institutions. International Journal of Emerging Technologies in Learning
10. O’Hern, S and St. Louis, Renée. 2023. Technology readiness and intentions to use conditionally automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour.
11. Sellywati Mohd Faizal, N and Nor, A. 2022. Integrate the adoption and readiness of digital technologies amongst accounting professionals towards the fourth industrial revolution. Cogent Business & Management
12. Reyes-Mercado, P and et al. 2023. Adoption of digital learning environments during the COVID-19 pandemic: merging technology readiness index and UTAUT model. Journal of International Education in Business
13. Sukmana, H, Hariguna, T and et al. 2019. Exploring the moderating effect of technology readiness of user intention in the context of mobile payment service. International Journal of Advanced Trends in Computer Science and Engineering
14. Nnaji, C, Okpala, I and et all. 2023. A systematic review of technology acceptance models and theories in construction research. Journal of Information Technology in Construction.
15. Zulaikah, L., Puspitasari, W., & Septiningrum, L. “Evaluasi Kesuksesan Implementasi Sap Di Masa Pandemi Covid-19 Menggunakan Model Utaut 3 Pada Pt. Kai”. JIPI (Jurnal Ilmiah Penelitian Dan Pembelajaran Informatika), 2023,8, 242–253.
16. Fred R. David, & Forest R. David. “Strategic Management a Competitive Advantage Approach, Concept and Cases” (16th ed., Vol. 16). Pearson Education Limited. 2017
17. Frank T. Rothaermel. 2017. “Strategic Management (3 Edition)”. Mc Graw Hill Education.
18. Pradeep Henry. “Get Technology to Contribute to Business Strategy. In Augustine Peter, Raj Pethuru, & Munirathinam Sathyan (Eds.), Enterprise Digital Transformation (First)”. Taylor & Francis. 2022
19. Tang, D. “What Is Digital Transformation?”. EDPACS, 64(1), 9–13.
20. Singh, S., Sharma, P. K., Yoon, B., Shojafar, M., Cho, G. H., & Ra, I.-H. (2020). Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city. Sustainable Cities and Society, 63, 102364. 2021
21. Butarbutar, D. Tricahyono, T. Djatmiko.”Analisis Perumusan Strategi Bersaing Telkomsel Regional Jawa Barat Menggunakan Konsep ‘Resource-Based View Of The Firm’ Dengan Kerangka Vrio” Journal of Accounting and Business Studies Vol. 1, No. 2, March.2017
22. Wahyuningtyas, G. Disastra, R. Rismayani.”Toward cooperativecompetitiveness for community development in Economic Society 5.0”. Journal of Enterprising Communities: People and Places in the Global Economy,Vol. 17 No. 3, 2023
23. Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74.
24. Blut, M., & Wang, C. (2020). Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage. Journal of the Academy of Marketing Science, 48(4), 649 – 669.
25. Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27, 425–478.
26. Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Behavioral Marketing EJournal.
27. Uma Sekaran, & Roger Bougie. (2010). Research Methods for Business: A Skill Building Approach (5th ed.). John & Wiley.
28. Statistika Untuk Penelitian. ALFABETA. 2007
29. Journal of Multidisciplinary Academic Business Studies (JoMABS) ISSN 3032-3169, Vol 2, No 2, 2024, 307-328 “Analysis of acceptance and use of the NCX application using the UTAUT2 modification model at Telkom Indonesia” Journal of Multidisciplinary Academic Business Studies (JoMABS) ISSN 3032-3169, Vol 2, No 2, 2024, 307-328