Evidence map›Paper›PMID 35592163›Full record

ArticleFrontiers in psychology2022

Factors Influencing the Teaching Intention of Business College Teachers to Fulfill Digital Entrepreneurship Courses.

Tai-Kuei Yu, Cheng-Min Chao, YiJie Wang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Tai-Kuei YuDepartment of Business Administration, National Quemoy University, Kinmen, Taiwan.
Cheng-Min ChaoDepartment of Business Administration, National Taichung University of Science and Technology, Taichung, Taiwan.
YiJie WangFaculty of Sociology, Lomonosov Moscow State University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing promotion of entrepreneurship in Taiwan's universities and the establishment of departments of innovation or entrepreneurship management, it has become an emerging trend to encourage college students to become entrepreneurs or participate in entrepreneurial competitions during their undergraduate years. The Internet has stimulated the development and widespread application of new business models and has created a large number of entrepreneurial opportunities. Universities engaged in digital entrepreneurship education over the past have hardly designed a curriculum to teach the content of digital entrepreneurship. This study integrated "task-technology fit," "self-determination theory," and "interactive participation," into its investigation on the teaching intention of business college teachers to develop digital entrepreneurship courses. The sample size was 126 participants. Using partial least squares analysis, the research model represented high internal consistency and confirmed the good reliability of the scales. This study presented that three dimensions of the concept (teachers' positive attitude emotions, task-technology fit, interactive participation) were highly prioritized in their intention to teach digital entrepreneurship courses. The coefficient of the endogenous variables was 0.503 for positive attitude emotions, 0.571 for task-technology fit, and 0.392 for teaching intention. Based on a quantitative survey on the teaching intention of business college teachers to fulfill digital entrepreneurship courses, this study demonstrated the implications of digital entrepreneurship education issues that are relevant to the role of teacher's dimension from different viewpoints, and discussed the implications of teaching digital entrepreneurship courses for digital entrepreneurship practices and entrepreneurship education.

Indexed as

digital entrepreneurship educationpartial least squarepositive attitude emotionsself-determination theorytask-technology fit

Identifiers

PMID35592163
PMCPMC9112723

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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.