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The study on clinical staff members’ behavioral intentions to use the newest and innovative technologies, carried out in two super specialty hospitals in Odisha, India, is presented in this paper. Four constructs such as clinical staff’s Attitude, Behavioral intentions, Perceived Usefulness, and Perceived Ease of Use are examined using an expanded Technology Acceptance Model (TAM) about utilizing the innovative or newest technologies in the present-day situation. This study also helps to identify one new research construct, i.e., technology affecting all other constructs of the model. The study consists of 201 participants using many of the latest technologies in the hospitals mentioned above. The model is examined with the PLS-PM (Partial Least Square- Path Modeling) technique supported with relational hypotheses between constructs, i.e., Technology, Perceived usefulness (PUse), Perceived ease of use (PEase), Attitude and Behavior. Here, this Partial Least Square Path Modeling technique shows the significance of various constructs and tests the model fit.

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An Empirical Analysis of Exploring Health Professionals’ Attitudes and Intentions Toward Embracing Innovative Technologies

  • 章节

  • 发表日期：

    2026年

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  • Sharanika Dhal,
  • Archana Choudhary,
  • Manas Pal

摘要

The study on clinical staff members’ behavioral intentions to use the newest and innovative technologies, carried out in two super specialty hospitals in Odisha, India, is presented in this paper. Four constructs such as clinical staff’s Attitude, Behavioral intentions, Perceived Usefulness, and Perceived Ease of Use are examined using an expanded Technology Acceptance Model (TAM) about utilizing the innovative or newest technologies in the present-day situation. This study also helps to identify one new research construct, i.e., technology affecting all other constructs of the model. The study consists of 201 participants using many of the latest technologies in the hospitals mentioned above. The model is examined with the PLS-PM (Partial Least Square- Path Modeling) technique supported with relational hypotheses between constructs, i.e., Technology, Perceived usefulness (PUse), Perceived ease of use (PEase), Attitude and Behavior. Here, this Partial Least Square Path Modeling technique shows the significance of various constructs and tests the model fit.