Evidence map›Paper›PMID 34677221›Full record

ArticleBehavioral sciences (Basel, Switzerland)2021

Three Needs and Information Anxiety on Knowledge Purchase Intentions across Online Knowledge Platforms.

Shinyi Lin, Kohang Cheng, Shu-Hui Chuang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2021. 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.

Shinyi LinMaster Program of Business Administration, Department of Creative Design and Management, National Taichung University of Education, Taichung 403, Taiwan.ORCID 0000-0002-9277-1720
Kohang ChengMaster Program of Business Administration, Department of Creative Design and Management, National Taichung University of Education, Taichung 403, Taiwan.
Shu-Hui ChuangDepartment of Business Administration, Asian University, Taichung 403, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the recent advances in technology, knowledge-based products have become increasingly prevalent. Many companies offer interdisciplinary resources for incumbent learners to break through chronological and geographical constraints. Therefore, it is important to investigate the factors that motivate learners to pay for knowledge-based products. The purpose of this research was to identify the relevant factors that contribute to purchasing intentions and to clarify the reasons why people purchase knowledge-based products. This study involved 406 valid participants over 20 years of age with knowledge purchase experience. The results demonstrated that incumbent learners' need for affiliation has a positive effect on involvement, and that involvement has a significant positive impact on knowledge purchase intentions. The key factor influencing learners to pay for knowledge-based products is their involvement in learning. Information anxiety interferes with the relationship between involvement and knowledge purchase intentions. However, no linear relationship was found between cognitive styles and involvement. Field-dependent learners show greater involvement and also information anxiety than field-independent learners. The research offers suggestions for practical use and future research from the perspective of knowledge-product marketing.

Indexed as

cognitive styleinformation anxietyknowledge purchase intentionsonline knowledge platformsthree needs

Identifiers

PMID34677221
PMCPMC8533232

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.