Evidence map›Paper›PMID 36915564›Full record

ArticleHeliyon2023

Total reward satisfaction profiles and work performance: A person-centered approach.

Chunling Li, Xueyun Duan, Xiangling Chu, Yong Qiu

Abstract 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. 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

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

4 authors.

Chunling LiBusiness School, Beijing Technology and Business University, Beijing, 100048, China.
Xueyun DuanBusiness School, Beijing Technology and Business University, Beijing, 100048, China.
Xiangling ChuBusiness School, Beijing Technology and Business University, Beijing, 100048, China.
Yong QiuBusiness School, Beijing Technology and Business University, Beijing, 100048, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has recently become an incentive management challenge for organizations to implement a total reward system. Existing variable-centered studies have neglected to explore the incentive effect of a total reward system from the perspective of individual differences. Our study aimed to initially investigate the profiles of total reward satisfaction (TRS) and the impact of these profiles on work performance. Using a person-centered approach, two studies were conducted using retail industry employees in China as samples. Study 1 identified the TRS profiles of 429 samples using latent profile analysis. Study 2 replicated Study 1's configuration of profiles and examined the relationship of these profiles with demographic variables and work performance using 885 samples. Our results were as follows: (1) there were four quantitatively and qualitatively distinct profiles (subpopulations) of TRS, namely, dissatisfied (DS), development and career opportunities satisfied-dominant (DOS-dominant), work-life balance satisfied-dominant (WLS-dominant), and compensation satisfied-dominant (CS-dominant); (2) demographic variables involving gender, age, education, and position level affected the likelihood of membership in each TRS profile; and (3) the four profiles predicted different levels of work performance, or more specifically, different levels of task and contextual performance. The task and contextual performance of the four subpopulations listed from best to worst were WLS-dominant, DOS-dominant, CS-dominant, and DS. For practical management, organizations should customize a classified total reward system according to employee subpopulations to improve work performance.

Indexed as

A person-centered approachLatent profile analysis (LPA)Total reward satisfaction (TRS)Work performance

Identifiers

PMID36915564
PMCPMC10006834

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.