What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models

IF 2.6 1区艺术学 Q2 CHEMISTRY, ANALYTICAL

Heritage Science Pub Date : 2024-07-24 DOI:10.1186/s40494-024-01365-4

Feiyu Zheng, Shan Wu, Ren Liu, Yiqun Bai

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引用次数: 0

Abstract

Digital museums play a crucial role in facilitating users' access to and exploration of digital cultural heritage resources. However, exploring the factors influencing user engagement with these digital museums from a user experience perspective remains essential. This study evaluates the factors driving user continuous behavioral intention towards the digital museum of Beijing’s central axis, integrating the new task-technology fit (TTF) and the new unified theory of acceptance and use of technology (UTAUT) models, and introducing perceived enjoyment, design aesthetics, and perceived cultural value as additional variables. Analyzing survey data (n = 377) utilizing structural equation modeling (SEM), the study identifies the following key findings: (1) the task and technology characteristics of digital museums significantly impact the TTF; (2) performance expectancy, effort expectancy, design aesthetics, perceived enjoyment, and perceived cultural value all positively impact user continuous behavioral intention; (3) the technological characteristics of digital museums were observed to positively impact users' effort expectancy; but (4) the TTF and social influence did not have no significant impact the user continuous behavioral intention. These findings offer valuable insights into the factors driving users' continuous behavioral intention to use digital museums of cultural heritage, offering practical guidance for future development and optimization of these digital museums, and highlighting specific implications and suggestions for enhancing the user experience.

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是什么影响了用户持续使用数字博物馆的意愿：整合任务-技术契合度（TTF）和技术接受与使用统一理论（UTAUT）模型

数字博物馆在促进用户获取和探索数字文化遗产资源方面发挥着至关重要的作用。然而，从用户体验的角度探索影响用户参与这些数字博物馆的因素仍然至关重要。本研究整合了新的任务-技术契合（TTF）模型和新的技术接受与使用统一理论（UTAUT）模型，并引入了感知乐趣、设计美学和感知文化价值作为附加变量，评估了用户对北京中轴线数字博物馆持续行为意向的驱动因素。研究利用结构方程模型（SEM）分析了调查数据（n = 377），得出了以下主要结论：（1）数字博物馆的任务和技术特征对TTF有显著影响；（2）绩效预期、努力预期、设计美学、感知乐趣和感知文化价值都对用户的持续行为意向有积极影响；（3）数字博物馆的技术特征对用户的努力预期有积极影响；但（4）TTF和社会影响对用户的持续行为意向没有显著影响。这些发现为了解用户使用文化遗产数字博物馆的持续行为意向的驱动因素提供了有价值的见解，为这些数字博物馆未来的发展和优化提供了实用的指导，并强调了提升用户体验的具体意义和建议。

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来源期刊

Heritage Science Arts and Humanities-Conservation

CiteScore

4.00

自引率

20.00%

发文量

183

审稿时长

19 weeks

期刊介绍： Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.