Evidence map›Paper›PMID 38105309›Full record

ArticleScientific reports2023

Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students.

Muhammad Farrukh Shahzad, Shuo Xu, Kanwal Iqbal Khan, Muhammad Faisal Hasnain

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Muhammad Farrukh ShahzadCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China. farrukhshahzad207@gmail.com.
Shuo XuCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China. xushuo@bjut.edu.cn.
Kanwal Iqbal KhanDepartment of Management Sciences, University of Engineering and Technology, New Campus, Kala Shah Kaku, Pakistan.
Muhammad Faisal HasnainDepartment of Chemistry, University of Agriculture, Faisalabad, 38000, Pakistan.

Funding

National Natural Science Foundation of China 72074014 and 72174016
6 · The paper itself

Abstract

5G technology continues to evolve, and its potential to revolutionize various aspects of society is becoming increasingly evident. However, the successful adoption and utilization of 5G technology depends on various factors, particularly among consumers expected to be early adopters and critical drivers of technological advancements. This study investigates the effect of social influence, environmental awareness, and safety affordance on Chinese university students' actual use of 5G (AU5G) technologies. It also analyzed the mediating role of trustworthiness and intention to use 5G (ITU5G) between them and the moderating role of facilitation conditions between trustworthiness and ITU5G. Data was collected from university students (n = 364) in Beijing and was examined employing the structural equation modelling (SEM) approach. The outcomes confirm that trustworthiness and ITU5G significantly mediate the relationship between social influence, environmental awareness, and safety affordance on AU5G technologies among Chinese students. Further, the supportive facilitation conditions strengthen the relationship between trustworthiness and ITU5G. These findings are backed by UTAUT2 models that support the technology acceptance and adoption among the users. The study outcomes can help policymakers design strategies to address potential barriers and encourage greater uptake of 5G services among university students.

Indexed as

StudentsTechnologyBeijingEast Asian PeopleHumans

Identifiers

PMID38105309
PMCPMC10725885

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Registered trials

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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.