ArticleBMC public health2022
Analysis of latent profiles and affected factors according to the implementation of a protection system against customer bullying in Korea.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Can Organizational Identification Weaken the Negative Effects of Customer Bullying?-Testing the Moderating Effect of Organizational Identification.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInstances of customers bullying employees at the workplace are increasing with the development of the service industry. Korea has established a worker protection system to prevent negative effects of customer bullying on workers' health. This study identified the latent profile types of protection against customer bullying in workplaces, and determined their predictors.
methodsData were collected over 28 days, from March 2 to 30, 2020. This study identified whether protection against customer bullying is implemented for workers in person-to-person services, the change effected by this protection, and worker monitoring scope. Data from 1,537 out of 1,550 participants were analyzed, excluding the missing values. Latent profile types were identified using Mplus 8.5 for data analysis, and the multinomial logistic regression analysis was performed to review the predictors.
resultsThe results are as follows. There were four types of latent profile types: lagging, medium, relative preventive type, and excellent type. Variables predicting these types included age, gender, service period, position, occupational category, worker monitoring scope, decrease in the number of customers causing problems, decrease in disputes with customers, and worker satisfaction.
conclusionsFirst, a system to prevent customer bullying must be adopted in the service industry. Second, there must be a way to improve trust between customers and workers when protective measures are being adopted. Third, managers must establish a system that can both protect workers against bullying and provide customer satisfaction.
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Registered trials
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.