Document Type : Original Article
Authors
1 Assistant Professor, Industrial Management Department, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran,
2 Ph.D. Candidate, Industrial Management Department, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran,
3 Assistant Professor, Department of Applied Mathematics, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran, email: ali.mahmoodirad@iauctb.ac.ir
Abstract
Financial performance evaluation emerged as a great academia and business concern in the competitive world today. In order to clarify the progress status and improvement trend of finance, it is of supreme significance to appoint a professional financial performance evaluation study for the supportable progress of enterprises. This research focused on the seven critical factors which represented principal effects on the financial performance of the Persian Gulf Petrochemical Companies. Experts and engineers of 12 companies in Persian Gulf Petrochemical Company have been surveyed by sampling method, in which 180 questionnaires have been completed, and the basis of the work has been used to achieve the research objectives. The confirmatory factor analysis (CFA) approved the divergent validity of all desired factors and correspondent to the questionnaire. The nonparametric analysis demonstrated the study’s central hypothesis regarding the effectiveness of all under investigation parameters to meet the research goals. By the Friedman ranking test, the internal processes and external environment of the organization provided the highest and the lowest rank of impact on the financial performance of the petrochemical companies under review, respectively.
Keywords
- CFA (confirmatory factor analysis)
- Friedman test
- Financial Performance Evaluation
- Petrochemical companies
- PLS
Main Subjects
Altman, D. G. (1995). Statistics notes: The normal distribution.
Amir Sadeghi, A. A. (2020). Designing a product-service supply chain performance evaluation model in the home appliance industry using factor analysis and fuzzy neural networks Case study: home appliance companies in Iran. Production and Operations Management, Issue 2, No. 19, Vol. 10.
Bakil Saleh Mohamad Dhaifallah, S. M. (2018). The Moderating Role of Employees’ Professionalism on BSC Usage and Organizational Performance Relationship. Asian Journal of Accounting and Governance, 135–143.
Chen, Z. (2021). Research on Accounting Intelligence System Modeling of Financial Performance Evaluation. Security and Communication Networks, Wiley, 9.
Constantin Blome, D. H. (2015). Green procurement and green supplier development: antecedents and effects on supplier performance. International Journal of Production Research, 32–49.
Davis Lazarus, A. K. (2014). Co-creation Willingness Matrix and Capability Continuum for Classification and Scaling of Services. Journal of Global Marketing.
Edmara Drigo, J. L. (2020). Analysis of Operational Communication Through Structural Equation Modeling. IEEE Access.
Finch, A. P. (2017). An Exploratory Study on Using Principal-Component Analysis and Confirmatory Factor Analysis to Identify Bolt-On Dimensions: The EQ-5D Case Study. Value in Health.
Gazi M. Duman, M. T. (2018). Integrating Environmental and Social Sustainability into Performance Evaluation: A Balanced Scorecard-Based Grey-DANP Approach for the Food Industry. Original Research.
Guo, Y., Gao, H., and Wu, Q. (2017). A Combined Reliability Model of VSC-HVDC Connected Offshore Wind Farms Considering Wind Speed Correlation. IEEE Transactions on Sustainable Energy.
Huselid, M. A. (2017). The Impact of Human Resource Management Practices On Turnover, Productivity, And Corporate Financial Performance. Academy of Management Journal, Vol. 38, No. 3.
Ing. Lubica Lesáková, I. K. (2016). Knowledge and Use of the Balanced Scorecard Method in the Businesses in the Slovak Republic. Procedia - Social and Behavioral Sciences 230, 39–48.
Itziar Familiar, E. O.P.R. (2015). Factor structure of the Spanish version of the Patient Health Questionnaire‐9 in Mexican women. International Journal of Methods in Psychiatric Research, 74–82.
J Luengo, S. G. (2009). A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and nonparametric tests. Expert Systems with Applications, Elsevier.
Janet E. Helms, K. T. (2006). Treating Cronbach’s Alpha Reliability Coefficients as Data in Counseling Research. The Counseling Psychologist.
John K. Kinyua, R. G. (2015). Effect of Internal Control Environment on the Financial Performance of Companies Quoted in the Nairobi Securities Exchange. International Journal of Innovative Finance and Economics Research 3(4), 29–48.
Kamyar Kabirifar, M. M. (2019). The impact of Engineering, Procurement and Construction (EPC) Phases on Project Performance: A Case of Large-scale Residential Construction Project. Buildings.
Kevin Baird, S. S. (2018). The association between controls, performance measures, and performance. International Journal of Productivity and Performance Management.
- L. Bircha, J.-T. L. (2001). Confirmatory factor analysis of the Child Feeding Questionnaire: a measure of parental attitudes, beliefs, and practices about child feeding and obesity proneness. Appetite, 36, 201–210.
Lilliefors, H. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, Taylor & Francis.
Lucianetti, L. (2010). The impact of the strategy maps on balanced scorecard performance. Int. J. Business Performance Management, Vol. 12, No. 1.
Mojtaba Shiarbahadori, S. M.-A.-Z. (2020). Evaluate the Financial Performance of Petrochemical Companies through the Interpretive Structural Modeling: A Special Case Study. Petroleum Business Review, 18.
Muhammad Rafiq, X. Z. (2020). Impact of a Balanced Scorecard as a Strategic Management System Tool to Improve Sustainable Development: Measuring the Mediation of Organizational Performance through PLS-Smart. Sustainability.
Murray J. Fisher, A. P. (2009). Understanding descriptive statistics. 98.
Njuguna-Kinyua, M. J. (2014). Influence of External Organizational Environment on Performance of Community-Based HIV and AIDS Organizations in Nairobi County, Kenya. European Scientific Journal.
Ruscio, J. R. (2012). Determining the number of factors to retain in exploratory factor analysis using comparison data of known factorial structure. Psychological Assessment.
Sebastian Aparicio, D. D. (2016). Institutional factors, opportunity entrepreneurship, and economic growth: Panel data evidence. Technological forecasting and social Changes.
Smith, K. W. (1974). On Estimating the Reliability of Composite Indexes through Factor Analysis. Sociological Methods and Research.
Tong, J. Y. (1999). an integrated model of information systems adaption in small businesses. Journal of management information systems.
Tung, H.‐L. C.‐H. (2011). Effects of empowering leadership on performance in management team. Journal of Chinese Human Resources.
V Bewick, L. C. (2003). Statistics Review 7: Correlation and regression. Critical care, Springer.
Zakaria Nejjari, H. (2021). Big Data Analytics Influence on Financial Performance and Market Value: Intellectual Capital as a Proxy. CCSRE, 9.
Zohreh Dehdashti Shahrokh, M. N. (2017). Explaining the Relationship between Marketing Capabilities and Business Financial Performance. Journal of Business Management.
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