Identifying and Prioritizing Productivity Pathology of Abadan Oil Refinery Company based on the Three-Pronged Model

Subject Areas : Other related topics

Mona Javi Mikaniki ¹ ( 1. Department of Educational Management, Mehr Arvand Higher Education Institute, Abadan, Iran. )
Samaneh Salimi ² ( 2. Assistant Professor Department of Educational Management, Zahedan Branch, Islamic Azad University, Zahedan, Iran. )
Farzad Baneshi ³ ( 3. Master of Quality and Productivity Management, Abadan Oil Refining Company, Abadan, Iran. )

Received: 2023-11-18 Accepted : 2024-03-17 Published : 2024-03-17

Keywords: Abadan Oil Refinery, Pathology, Productivity, Three-Pronged Model. ,

Abstract :

The current research was conducted with the aim of identifying and prioritizing productivity complications of Abadan Oil Refinery Company based on the three-pronged model. This research is applied in terms of purpose and exploratory (qualitative-quantitative) in terms of mixed method. The statistical population in the qualitative section includes middle level managers of Abadan Oil Refinery who were selected through targeted sampling based on theoretical saturation of 15 people. In the quantitative part, 219 employees of the refinery were selected by simple random sampling based on Morgan's Krejci table. The collection tool was a semi-structured interview in the qualitative part and a researcher-made questionnaire based on the interviews in the quantitative part. In order to analyze the data, thematic analysis method was used in the qualitative part and descriptive statistics (percentage and frequency) were used in the quantitative part. Based on the findings of the qualitative section, 22 complications were obtained, of which 8 complications are related to structural complications, 7 complications are related to behavioral complications, and 5 complications are related to environmental complications. The findings of the quantitative section using the Friedman test for ranking showed that among the structural complications: the factor of laws and regulations, among the behavioral complications: the factor of knowledge, awareness and skill, and among the environmental complications: the factor of belief and attitude. The society was the most important complication, and they are in the first priority.

References:

Abbas Zadeh, H. (2010). Complications of human resource management in the country's oil industry. Journal of Human Resources Management in Oil Industry, 4(12), 89-112. [In Persian]
Abdullah, Z., Samah, S. A. A., Jusoff, K., & Isa, P. M. (2012). Succession Planning in Malaysian Institution of Higher Education. International Education Studies, 2(1), 129-132.
Alpatova, E., Chkhutiashvili, N., Goloshchapova, L., & Kovalenkova, O. (2021). Organizational diagnostics of the farm In E3S Web of Conferences, EDP Sciences,
Appelbaum, S. H. (2020). Organizational diagnosis and organizational development model: integration of psychoanalytic determinants. Universal Journal of Management, 8(4), 181-194.
Babash zadeh, K. (2016). Pathology (diagnosis) of fruit and vegetable fields management organization of Tehran municipality using the EFQM model [Master's thesis, Islamic Azad University, Central Tehran branch]. [In Persian]
Baghbani, M., & Saheli, A. (2018). Diagnosing the problems of small and medium industries with Mackenzie's 7s model. Scientific Quarterly Journal of Quality Standard Management, 9(4), 50-59. [In Persian]
Brochner, J. (2017). Measuring the Productivity of Facilities Management. Journal of Facilities Management, 15(3), 285-301.
Darraj, P., & Khalkhali, A. (2018). Phenomenology of school organizational problem-solving. management on training organizations, 8(1), 231-254. [In Persian]
Erfani, S. Z., Taghvaee, S. M., Estiri, F., & Ramin, F. (2010). Implementing a model for identifying organizational complications for the purpose of increasing productivity in hydropower plant. Chinese Business Review, 9(11), 40. [In Persian]
Eslamifar, A., & Moradzehi, M. (2010). Examining the role of knowledge management on the productivity of human resources of organizations in Iran the first international conference on management, economics, accounting and educational Sciences, [In Persian]
Ghaffari Zenozi, M., Mohebi, S., & Danesh Fard, K. (2020). Presenting a systematic model for improving the productivity of human resources in the university with a fuzzy DMAT approach. Productivity Management, 14(54), 122-145. [In Persian]
Gomez, M., Lopez, C., & Molina, A. (2017). A model of tourism destination brand equity: The case of wine tourism destinations in Spain. Tourism Management, 51, 210-222.
Harris, R. (2019). Defining and measuring the productive office. Journal of Corporate Real Estate, 21(1), 55-71.
Jensen, P. A., & Van der Voordt, T. (2020). Productivity as a value parameter for FM and CREM. Facilities.
Kasb Doust, A., Daneshfard, K. A., & Memarzadeh Tehran, G. (2022). Drivers of organizational productivity: pathology of the implementation gap of human resources management policy. Public administration perspective magazine, 13(2), 141-159. [In Persian]
Khamse, S. H., & Rajabi, H. (2017). Assessing the impact of information technology on the productivity of human resources of the traffic police. Resource Management in the police force, 13(3), 169-194. [In Persian]
Mahdi, M. H., & Al-Mhanaa, A. H. A. (2022). The Role of Organizational Diagnosis Strategy in Achieving Excellence Performance According to The European Model Criteria) Efqm (A Study in The Youth and Sports Sector in Najaf. Journal of Positive School Psychology, 2634-2641.
Mohsin, L. S., Mahdi, M. H., & Abdulameer, O. A. (2022). Organizational Diagnosis and Its Role in Supporting the Strategic Orientation of Companies. 19(2).
Moura, S., & Fernandes, C. (2020). An assessment of a municipal physical activity programme for seniors based on the EFQM model: Integrating the views of internal and external stakeholders 16. Arturo Calvo-Mora & Antonio Navarro-García & Rafael Periañez-Cristobal.
Nikokar, H., Akbari, M., Ahi, P., & Ghaziazi, R. (2019). Explaining the role of forward-looking leadership in improving organizational productivity through the mediation of organizational commitment. Administrative Management Research, 14(1), 101-122.
Oryan, S., Shobeiri, S. M., & Farajollahi, M. (2019). Identification and prioritizing the barriers to effective utilization of Mechanisms of ‎United Nations Framework Convention on Climate Change (UNFCCC)‎‏ ‏by Emphasizing on organizational training based on the Three-Dimensional Model. Quarterly Journal of Training and Development of Human Resources, 21(6), 37-66. [In Persian]
Rahmati, V., & Pourzmani, Z. (2021). Finding complications of accrual accounting in Iran's public sector in terms of content, context and structure. Financial accounting and audit research, 13(50), 83-117. [In Persian]
Rezaei, Z., Azar, A., Maqbul Baara, A., & Dehghan Nairi, M. (2017). Analyzing organizational structure based on VSM. Modern researches in decision-making, 1(2), 15-26.
Shams, K., Danesh fard, K., Gholami, A. K., & Pirzad, A. (2023). Pathology of Knowledge-Based Career Path Planning with High-Performance Approach with Data Processing Approach. International Journal of Knowledge Processing Studies, 3(4), 120-130. https://doi.org/10.22034/kps.2023.385804.1106
Smith, S. M., Liauw, D., Dupee, D., Barbieri, A. L., Olson, K., & Parkash, V. (2023). Burnout and Disengagement in Pathology: A Prepandemic Survey of Pathologists and Laboratory Professionals. Archives of pathology & laboratory medicine, 147(7), 808–816. https://doi.org/10.5858/arpa.2022-0073-OA
Soltani Nejad, A., Kezazi, A., & Soltaninejad, N. (2015). Analyzing the performance of small and medium-sized component manufacturing companies. Production and Operations Management, 7(1), 103-120. [In Persian]