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Supervisor and Co-Worker Feedback Environment and Blue-Collar Employee Engagement

Iveta Bikse, Uldis Pāvuls
University of Latvia, Latvia

Abstract. The aim of the research is to study the relationships between feedback and employee engagement among manufacturing workers. There has been little research on the topic involving low-skilled or blue-collared employees. The aim of the study is to identify what are relationships between the feedback provided by one’s supervisor and their co-workers and the employee engagement in manufacturing companies. Three hypotheses were tested. First, there is positive correlation between high scores of supervisor feedback environment and co-worker feedback environment and employee engagement. Second – there is negative relationship between the age of workers and their engagement; the third hypothesis – there is positive relationship between the blue-collar employees’ tenure and their work engagement.
The study involved 495 respondents, blue-collar workers in manufacturing companies. The average age of the respondents was 42 years (range 18 to 75 years), and their work experience ranges from 0 to 10+ years.
Questionnaire in Latvian and Russian were prepared for the study. Instruments used– Feedback Environment Scale (Steelman & Levy, 2004) was adapted and Utrecht Work Engagement Scale (UWES-9, Schaufeli & Bakker, 2003). The results confirm findings of previous studies – high indicators in feedback environment predict high level of employee engagement. Supervisor feedback has higher level of influence than the one provided by co-workers. The most important factors of feedback provided by one’s supervisor that affect the engagement are Feedback quality and Favorable feedback. The important factors of co-worker feedback are the Feedback delivery and Favorable feedback. The effect of age and tenure on engagement was not confirmed.

Keywords: engagement, co-workers feedback, feedback environment, supervisor feedback, workers

In: Human, Technologies and Quality of Education, 2022. Proceedings of Scientific Papers = Cilvēks, tehnoloģijas un izglītības kvalitāte, 2022. Rakstu krājums
Riga, University of Latvia, 2022. 1135 p. Ed. L. Daniela
ISBN 978-9934-18-911-1