Organizational conflict as a predictor of employee resistance to change: Evidence from Saudi public-sector transformation
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DOIhttp://dx.doi.org/10.21511/ppm.24(3).2026.36
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Article InfoVolume 24 2026, Issue #3, pp. 573–588
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
Public-sector transformation initiatives often generate organizational tensions that influence employees’ reactions to change. Despite the growing importance of public-sector transformation programs, empirical evidence on the relationship between organizational conflict and employee resistance to change remains limited, particularly within the context of Saudi Vision 2030. This study examines the association between organizational conflict and employee resistance to change in Saudi public-sector institutions undergoing transformation. A quantitative cross-sectional survey design was employed using data collected from 384 employees across Saudi public-sector organizations. The questionnaire was developed based on the organizational conflict and resistance-to-change literature and adapted to the Saudi public-sector context. Data were analyzed using exploratory factor analysis, correlation analysis, and simple linear regression. The findings reveal a strong positive and statistically significant relationship between organizational conflict and resistance to change (r = 0.612, p < .001). Regression analysis indicated a statistically significant positive association between organizational conflict and employee resistance to change (β = 0.612, p < .001), explaining 37.5% of the variance within the analytical model employed in this study. Significant differences in resistance levels were also observed across gender, age, years of experience, and job level. The findings suggest that organizational conflict represents an important factor associated with employee resistance during large-scale transformation initiatives. The study highlights the importance of effective conflict management, transparent communication, and employee involvement in supporting successful public-sector transformation.
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JEL Classification (Paper profile tab)D23, O15, H83
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References21
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Tables10
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Figures1
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- Figure 1. Conceptual framework
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- Table 1. Structure of the measurement instrument
- Table 2. Reliability indicators
- Table 3. Exploratory factor analysis summary
- Table 4. Demographic characteristics of participants
- Table 5. Descriptive statistics of organizational conflict (N = 384)
- Table 6. Descriptive statistics of resistance to change (N = 384)
- Table 7. Correlation results
- Table 8. Regression analysis results
- Table 9. Gender differences
- Table 10. One-way ANOVA results for demographic characteristics
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Financial evaluation of Tadawul All Share Index (TASI) listed stocks using Capital Asset Pricing Model
Nisa Vinodkumar
,
Hadeel Khalid AlJasser
doi: http://dx.doi.org/10.21511/imfi.17(2).2020.06
Investment Management and Financial Innovations Volume 17, 2020 Issue #2 pp. 69-75 Views: 3747 Downloads: 1321 TO CITE АНОТАЦІЯThe Kingdom of Saudi Arabia is strongly committed to stimulating savings culture in the local community by providing financial literacy in financial planning, investments, and budgeting. Inculcating the savings and investment behavior among the people will help materialize one of the elements of Saudi Vision 2030. Tadawul, being the most liquid stock market in the Middle East and North Africa, offers investors the ability to grow their capital with confidence through facilitating trading in different securities such as equities, debt instruments, and Exchange Traded Funds (ETFs). There is a great scope for investors to invest in the companies listed in Tadawul All Share Index (TASI) due to its strong economic fundamentals. The present study aims to apply the CAPM in Tadawul listed stocks, which will help in understanding the systematic and unsystematic risk associated with stocks, understanding their actual and theoretical return on stocks. The methodology adopted is the analysis of secondary data for all listed stocks in Tadawul using the Bloomberg terminal. The financial valuation includes elements like beta, alpha, correlation and standard deviation, expected return and actual return. The practical value obtained from the study will help investors go for undervalued stocks with lower beta, higher expected annual return, and lower systematic risks. Thus, the result shows the predicting power in KSA market and the scope for long-term investments by the investors to boost their savings and investment behavior and materialize one element of Vision 2030.
Acknowledgment
This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-Track Research Funding Program.
