Evidence map›Paper›PMID 34777178›Full record

ArticleFrontiers in psychology2021

An Assessment of Social Media Usage Patterns and Social Capital: Empirical Evidence From the Agricultural Systems of China.

Gui-Hua Xie, Lin-Ping Wang, Asif Khan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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, 17 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Gui-Hua XieCollege of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, China.
Lin-Ping WangCollege of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou, China.
Asif KhanDepartment of Marketing and Distribution Management, College of Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Fujian Agriculture and Forestry University · CNNational Kaohsiung University of Science and Technology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research offers a theoretical model to measure the impact of social media usage on social capital in the agricultural system of China. Furthermore, this research also investigates the relationship between agricultural policies related to entrepreneurship training and social media usage. A total of 589 questionnaires were distributed in the training courses of Fujian Agricultural Vocational Technology College, and, Fuzhou, Quanzhou, Jianning, and Liancheng counties and cities in Fujian during winter and summer vacations to target new vocational farmers. The results show that social use, hedonic use, and cognitive use of social media significantly impacted both bridging and bonding social capital. Furthermore, the results of the study suggest that entrepreneurs who have participated in the training have significantly higher levels of social use and cognitive use than those who have not been trained. The findings of this paper have implications for the digital transformation by agricultural entrepreneurs in recognition of the role of sustainable education and learning in entrepreneurial activities and the utilization of social and cognitive functions of social media to acquire and accumulate social capital and provide support for sustainable agriculture and rural development. Furthermore, the concepts of sustainability-driven agriculture in the digital transformational framework were also studied and it was indicated that transformed agriculture can effectively deal with the present challenges.

Indexed as

agricultural entrepreneursagricultural systemsdigital transformationentrepreneurship trainingsocial capitalsocial media usagesustainable agriculturesustainable education and learning

Identifiers

PMID34777178
PMCPMC8581198
OpenAlexW3208358516

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.