Evidence map›Paper›PMID 36033754›Full record

ArticleFrontiers in public health2022

Service innovation in small neighborhood family firms: An advanced approach to enhance employee's performance through social and psychological rewards.

Muhammad Waqas Sadiq, Javaria Hameed, Chunhui Huo, Muhammad Ibrahim Abdullah

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Muhammad Waqas SadiqBusiness School, Liaoning University, Shenyang, China.
Javaria HameedBusiness School, Liaoning University, Shenyang, China.
Chunhui HuoBusiness School, Liaoning University, Shenyang, China.
Muhammad Ibrahim AbdullahDepartment of Management Sciences, Commission on Science and Technology for Sustainable Development in the South (COMSATS) University Islamabad, Lahore, Pakistan.
COMSATS University Islamabad · PKLiaoning University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research study focuses on the employee's job performance of private small firms during the post COVID-19 situation. After the COVID these small family firms try to regain their business, but their efforts are not that much successful. This situation creates a financial crisis in these firms, and they are unable to provide sufficient monetary rewards to their employees. This situation creates unrest among the employees of these small firms. To manage this issue, social rewards and psychological rewards played their role. The study uses a causal research design with a correlational study design in a non-contrived environment. Minimal researcher interference has been assured. AMOS 24 has dealt with the mediation in study design with bootstrap methodology. The study was conducted on 250 employees of different private small family firms across Punjab province using a proportionate stratified sampling technique. A study's finding suggests that top management enhances employee performance in their organizations by introducing the organization's psychological rewards. In contrast, introducing social rewards does not significantly impact employee performance while considering satisfaction and motivation as a mediating variable.

Indexed as

COVID-19HumansMotivationPersonal SatisfactionRewardemployee satisfactionpsychological rewardsservice innovationsmall family firmssocial rewards

Identifiers

PMID36033754
PMCPMC9411929
OpenAlexW4291149662

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.