Critical Factors for Predicting Users’ Acceptance of Digital Museums for Experience-Influenced Environments

Yue Ying Wu · Qianling Jiang · Shiyu Ni · Hui’e Liang

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Technology Adoption and User Behaviour Museums and Cultural Heritage Innovative Human-Technology Interaction

Abstract

Digital museums that use modern technology are gradually replacing traditional museums to stimulate personal growth and promote cultural exchange and social enrichment. With the development and popularization of the mobile Internet, user experience has become a concern in this field. From the perspective of the dynamic stage of user experience, in this study, we expand ECM and TAM by combining the characteristics of users and systems, thereby, constructing the theoretical model and 12 hypotheses about the influencing factors of users’ continuance intentions toward digital museums. A total of 262 valid questionnaires were collected, and the structural equation model tested the model. This study identifies variables that play a role and influence online behavior in a specific experiential environment: (1) Perceived playfulness, perceived usefulness, and satisfaction are the critical variables that affect users’ continuance intentions. (2) Expectation confirmation has a significant influence on perceived playfulness, perceived ease of use, and satisfaction. (3) Media richness is an essential driver of confirmation, perceived ease of use, and perceived usefulness. The conclusions can be used as a reference for managers to promote the construction and innovation of digital museums and provide a better experience to meet users’ needs.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 1974An Index of Factorial Simplicity 1998The partial least squares approach for structural equation modeling.2001Understanding Information Systems Continuance: An Expectation-Confirmation Model1 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model 2001Extending the TAM for a World-Wide-Web context 2006Understanding e-learning continuance intention: An extension of the Technology Acceptance Model

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