Evidence map›Paper›PMID 37496922›Full record

ArticleHeliyon2023

Measuring the decent work of knowledge workers: Constructing and validating a new scale.

Yan Yan, Yuqing Geng, Juan Gao

Erratum issuedAbstract read
In one paragraph

Article in Heliyon, 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

3 authors.

Yan YanSchool of Business, Shanghai Dianji University, Shanghai, China.
Yuqing GengSchool of Business, Shanghai Dianji University, Shanghai, China.
Juan GaoSchool of Business, Shanghai Dianji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Through two and half decades, decent work (DW) has been studied mainly on unemployment and underemployment to promote workers' well-being, overlooking the importance of understanding knowledge of workers' (KW's) well-being in the workplace. However, the conflict between organizational performance and KW's well-being has intensified with technology development and the digital economy. This study constructs and validates a new scale for measuring the decent work perception (DWP) of KW in the context of knowledge management (KM). First, 27 in-depth interviews are conducted based on previous research results and grounded theory, resulting 4 dimensions consisting of 32 initial items identified by the KWs as reflecting their perception of DW. The 4dimensions of DWP are work security, respect & support, self-value, and professional skills. Second, 212 KWs participate in the preliminary survey, identifying the initial questionnaire's validity and selecting 13 items from the original questionnaire. Finally, 554 questionnaires are collected for the formal survey. According to exploratory factor analysis (EFA) and confirmative factor analysis (CFA), the 13-item decent work perception scale (DWPS) has reasonable reliability and validity. Considering the characteristics of work challenges, work autonomy, and career commitment of KWs, this study contributes to the knowledge of respect & support, self-value, and professional skills on DWPS. It is concluded that the DWPS can be applied to measure DW for KWs. As an effective measurement tool for KWs, this scale is also crucial for helping employees achieve their career goals, and managers understand KWs' demands theoretically and practically.

Indexed as

Decent work perceptionGrounded theoryKnowledge workersQuantitative analysisScale development

Identifiers

PMID37496922
PMCPMC10366389

What OpenQuestion holds

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LicenceCC BY
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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.