Articles

Digital Twin Technologies in Urban Systems: Integration with Telecommunications for Smart City Development

This paper examines the role of digital twin technologies in urban infrastructure management and smart city development, focusing on their integration with modern telecommunications systems. It reveals the potential of digital twins for real-time monitoring, network optimization, predictive maintenance, and improved service quality. The international best practices and the present technological landscape in Bulgaria are analysed in order to find opportunities for implementing digital twins in cities such as Sofia.

Analysis of User Behavior Intention Using UTAUT with Technology Readiness as a Moderator on Mitratel Digital Twin Technology

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.