Evidence map›Paper›PMID 39664529›Full record

ArticleFrontiers in public health2024

Determinants of users' continuance intention of digital museums: a self-regulation perspective.

Binyuan Zhang, Tingting Jia, Wenhui Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Binyuan ZhangSchool of Economics and Trade, Henan Polytechnic Institute, Nanyang, China.
Tingting JiaSchool of Digital Media and Art Design, Nanyang Institute of Technology, Nanyang, China.
Wenhui ZhangSchool of Media, Zhengzhou University of Economics and Business, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Driven by modern technological innovations (virtual reality, augmented reality, mixed reality and interactive 3D, etc.), digital museums open up new modes of user visitation through virtual exhibition halls and interactive technologies, thus bridging the gap between the museums and their users for in-depth communication. This study explores the determinants of users' continuance intention to use digital museums based on Bagozzi's self-regulation framework. We found that appraisal factors (interaction quality, media richness, and information quality) were strong predictors of emotional reaction (satisfaction and perceived playfulness). In particular, media richness and information quality had significant effects on both satisfaction and perceived playfulness. However, interaction quality only positively affected satisfaction. Both satisfaction and perceived playfulness positively influence users' continuance intention to use digital museums. These findings enrich the literature on digital museums, offer new perspectives and supplements to existing research on user behavior in digital museums, thereby assisting developers and operators of digital museums in more effectively designing their digital systems and enhancing user experience.

Indexed as

IntentionMuseumsSelf-ControlAdultConsumer BehaviorDigital TechnologyFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adultdigital museumsinformation qualityinteraction qualitymedia richnessperceived playfulnesssatisfactionself-regulation framework

Identifiers

PMID39664529
PMCPMC11632531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.