Perceived usefulness

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Understanding Perceived Usefulness in Technology Adoption

Introduction to Perceived Usefulness

Perceived usefulness is a critical concept in the field of information technology, significantly influencing the acceptance and adoption of new technologies. It is defined as the degree to which a person believes that using a particular system would enhance their job performance. This concept is central to the Technology Acceptance Model (TAM), which posits that perceived usefulness and perceived ease of use are primary determinants of user acceptance and usage behavior .

Measurement and Validation of Perceived Usefulness

The measurement of perceived usefulness has been a focal point in various studies. One study replicated the construct measurement of perceived usefulness and ease of use, confirming the consistency of these constructs across different technologies. Another research developed a new instrument to measure perceived usefulness, emphasizing the need for validated and reliable measures in management information systems. These studies highlight the importance of robust measurement tools to accurately assess perceived usefulness.

Psychological Origins and Influencing Factors

The psychological origins of perceived usefulness are rooted in social and cognitive theories. Factors such as social influence, social presence, and accessibility of the technology play significant roles in shaping users' perceptions of usefulness. Additionally, facilitating conditions like training and support, surprisingly, do not significantly impact perceived usefulness, suggesting that other psychological and social factors are more influential.

Multidimensional Nature of Perceived Usefulness

Recent research suggests that perceived usefulness is a multidimensional construct, especially in the context of complex information systems. This perspective integrates affordance theory and uses and gratifications theory to account for the various ways modern IT systems can be useful. For instance, in the context of e-learning systems, IT infrastructure services, system quality, and information quality are critical determinants of perceived usefulness, mediated by service delivery quality.

Extended Conceptualization and Empirical Tests

The extended conceptualization of perceived usefulness goes beyond job performance improvement to include other dimensions such as personal-related outcomes and intrinsic motivation. This broader view is essential for understanding the continued use of information systems . Empirical tests in various contexts, such as ERP implementation and educational portals, have validated these extended constructs, showing their significant impact on user satisfaction and behavioral intentions .

Conclusion

Perceived usefulness remains a pivotal factor in the adoption and continued use of information technology. Its measurement, psychological origins, and multidimensional nature provide a comprehensive understanding of how users perceive and interact with technology. By recognizing the various factors that influence perceived usefulness, organizations can better design and implement systems that meet user needs and enhance overall satisfaction and performance.