Quarterly Publication

The Identification of the Frontline Employees Cognitive Appraisal in the Face of the Customers Aggression in Oil Industries Business Management (Case Study: Iran Petroleum Products Distribution Company - Tehran region)

Document Type : Original Article

Authors

1 Ph.D. Candidate, Marketing, Department of Business Management, Science and Research Branch, Islamic Azad University, Tehran, Iran Address: Ashrafee-e-Esfahani Highway, Hesarak Road

2 Associate Professor of business management. faculty of management and economics. science and research branch. Tehran. Iran

3 Assistant Professor of analysis, Department of Management and Accounting, Qazvin Islamic Azad University, Qazvin, Iran

4 Associate Professor, Department of Health Administration, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran

Abstract
One of the main strategies in oil industries management is the evaluation of the relationships between the customers and employees. To do so, the interpretive paradigm, the qualitative approach, and the Grounded Theory Approach have been used. As for the qualitative approach, snowball sampling has been used, and the latent content analysis technique has been used to analyze the in-depth reviews, helping to code and identify the employees’ cognitive appraisal indices. Also, as for the quantitative approach, simple random sampling was used, with a structural equation model used for data analysis. The results and findings of the study indicate that the top managers in Iran Petroleum Products Distribution Company, especially those in the Human Resource Development, Commercial, and Research & Technology sections, can use the model extracted in the current study as well as the suggestions provided, to pay more attention to the mental health of the Frontlie Employees (FLEs). They can also use the results to know how the employees deal with the customers’ aggression and abuse. Hence, the current study can be useful for the oil industries researchers.

Keywords

Subjects

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  • Receive Date 23 November 2021
  • Revise Date 15 March 2022
  • Accept Date 03 April 2022