Scholarlink

Several factors, including product quality, security measures, and social factors, influence the adoption of public cloud services in the US financial sector. The study framework is grounded in the Technology Acceptance Model (TAM). Employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology, this research investigates the impact of perceived ease of use and perceived usefulness on trust—a critical variable in the decision-making process. Employees’ trust is identified as pivotal in financial institutions’ decisions to adopt cloud services, with high-quality, secure services and legal compliance being essential to foster trust among IT personnel. Social factors, including peer and industry influences, also play a significant role in encouraging cloud adoption. Despite regulatory constraints, security measures are key drivers of trust and adoption within the financial sector. Data collected via an online SurveyMonkey questionnaire targeting IT professionals in the financial industry was analyzed using PLS-SEM. The findings reveal substantial relationships between the studied factors and trust, providing a foundation for developing strategies to enhance cloud service adoption. Limitations such as sample bias and challenges in accurately assessing trust are acknowledged. Further research is recommended to refine trust mechanisms and leverage social networks to address resistance factors, thereby promoting broader adoption of cloud services in the financial sector.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Understanding the Role of Trust in Adopting Public Cloud Services in US Financial Institutions: A PLS-SEM Approach

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Snehal Satish,
  • Geeta Sandeep Nadella,
  • Elyson De La Cruz,
  • Mohan Harish Maturi,
  • Sai Sravan Meduri,
  • Srikar Podicheti

摘要

Several factors, including product quality, security measures, and social factors, influence the adoption of public cloud services in the US financial sector. The study framework is grounded in the Technology Acceptance Model (TAM). Employing the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology, this research investigates the impact of perceived ease of use and perceived usefulness on trust—a critical variable in the decision-making process. Employees’ trust is identified as pivotal in financial institutions’ decisions to adopt cloud services, with high-quality, secure services and legal compliance being essential to foster trust among IT personnel. Social factors, including peer and industry influences, also play a significant role in encouraging cloud adoption. Despite regulatory constraints, security measures are key drivers of trust and adoption within the financial sector. Data collected via an online SurveyMonkey questionnaire targeting IT professionals in the financial industry was analyzed using PLS-SEM. The findings reveal substantial relationships between the studied factors and trust, providing a foundation for developing strategies to enhance cloud service adoption. Limitations such as sample bias and challenges in accurately assessing trust are acknowledged. Further research is recommended to refine trust mechanisms and leverage social networks to address resistance factors, thereby promoting broader adoption of cloud services in the financial sector.