This study delves into the constraints of trust as a challenge to the use of robotics and automation in Malaysia's construction industry. The major goal is to investigate the key challenges in building trust towards the adoption of robotics and automation, using Malaysia as a case study. To accomplish this, a questionnaire survey was administered among construction industry professionals. The survey used a five-point Likert scale to obtain standardized data on the challenges that influences trust in robotics and automation. Data analysis was carried out using mean score ranking, normalization, overlap analysis and correlation analysis used to uncover underlying structures in the dataset and identify key variables influencing trust in robotics and automation. The outcomes demonstrate that the critical issues limiting trust in robotics and automation falls within two underlying factors which are Technical & Operational (construction design complexities, low availability of materials, technical difficulties, and a lack of research) and Systemic & Informational (high capital costs required to kickstart projects, lack of governmental policies and incentives, and insufficient data and cybersecurity measures. These challenges undermine the trust required for widespread robotic and automation adoption in Malaysia’s construction industry. The study's findings can help policymakers, industry leaders, and researchers develop methods to boost trust, attract investment, and support the effective integration of robotics and automation in Malaysia's construction sector.

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Key Challenges Influencing Trust in Robotics and Automation Within Malaysia Construction Industry

  • Aliah Hani S. Amir,
  • Ahmad Rizal Alias,
  • Lee Yong Siang,
  • Rahimi A. Rahman,
  • Hariharan Naganathan

摘要

This study delves into the constraints of trust as a challenge to the use of robotics and automation in Malaysia's construction industry. The major goal is to investigate the key challenges in building trust towards the adoption of robotics and automation, using Malaysia as a case study. To accomplish this, a questionnaire survey was administered among construction industry professionals. The survey used a five-point Likert scale to obtain standardized data on the challenges that influences trust in robotics and automation. Data analysis was carried out using mean score ranking, normalization, overlap analysis and correlation analysis used to uncover underlying structures in the dataset and identify key variables influencing trust in robotics and automation. The outcomes demonstrate that the critical issues limiting trust in robotics and automation falls within two underlying factors which are Technical & Operational (construction design complexities, low availability of materials, technical difficulties, and a lack of research) and Systemic & Informational (high capital costs required to kickstart projects, lack of governmental policies and incentives, and insufficient data and cybersecurity measures. These challenges undermine the trust required for widespread robotic and automation adoption in Malaysia’s construction industry. The study's findings can help policymakers, industry leaders, and researchers develop methods to boost trust, attract investment, and support the effective integration of robotics and automation in Malaysia's construction sector.