Burnout Problem Solving Algorithm in Production Workers

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TABATABAEI SEYED MOHSEN; Nassim Sobhan Saeid; AFRAZEH ABBAS

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ORGANIZATIONAL BEHAVIOR STUDIES QUARTERLY Year:2018 | Volume:7 | Issue:3 (27) Page(s): 1-28

Download Full-Text

Persian Verion

View:

637

Download:

Cites:

Information Journal Paper

Title

Burnout Problem Solving Algorithm in Production Workers

Author(s)

TABATABAEI SEYED MOHSEN | Nassim Sobhan Saeid | AFRAZEH ABBAS | Issue Writer Certificate

Keywords

Job BurnoutQ1

Problem Solving AlgorithmQ1

Production WorkersQ1

Abstract

Burnout is one of the organizational symptoms that should be addressed in early stage of growing. A lot of research has been conducted in assessing the status of burnout and exploring its roots, but there is lack of a management model for dealing with this phenomena in the organization. The purpose of this paper is to provide an algorithm for diagnosing the current status, finding its roots and proposing a solution to deal with burnout in Production Workers. For this purpose, the literature of the subject was profoundly examined and a case study was conducted in the paint management of Iran Khodro Company. Finally, based on the literature review and analysis of data collected from 213 workers and 30 semi-structured interviews with them, the Burnout Problem Solving Algorithm in Production Workers was designed. In this algorithm, burnout factors were divided into two categories including side factors and root causes. Also solutions to deal with burnout were divided into two categories including short-term and long-term solutions. The algorithm was founded on eight root causes of burnout in Production Workers and is not proper for service jobs. Therefore, future research could be conducted on customizing the algorithm for other professions such as teachers and nurses who are more prone to Job Burnout.

Cites

No record.

References

No record.

Cite

APA: Copy

TABATABAEI, SEYED MOHSEN, Nassim Sobhan, Saeid, & AFRAZEH, ABBAS. (2018). Burnout Problem Solving Algorithm in Production Workers. ORGANIZATIONAL BEHAVIOR STUDIES QUARTERLY, 7(3 (27) ), 1-28. SID. https://sid.ir/paper/245462/en

Vancouver: Copy

TABATABAEI SEYED MOHSEN, Nassim Sobhan Saeid, AFRAZEH ABBAS. Burnout Problem Solving Algorithm in Production Workers. ORGANIZATIONAL BEHAVIOR STUDIES QUARTERLY[Internet]. 2018;7(3 (27) ):1-28. Available from: https://sid.ir/paper/245462/en

IEEE: Copy

SEYED MOHSEN TABATABAEI, Saeid Nassim Sobhan, and ABBAS AFRAZEH, “Burnout Problem Solving Algorithm in Production Workers,” ORGANIZATIONAL BEHAVIOR STUDIES QUARTERLY, vol. 7, no. 3 (27) , pp. 1–28, 2018, [Online]. Available: https://sid.ir/paper/245462/en

Related Journal Papers