Political factors pose a fundamental challenge to leadership functions. The inherent factors associated with political influences make organizational leadership lack corporate vision, ineffective leadership, and uninspired employee functionality in developing and developed countries. According to various researchers, factors such as weak political policies, political corruption, and poor funding of the organizations can make it harder for leaders to follow their leadership traits in attaining their goals (Friedman Lissner & Rapp-Hooper, 2018). Equally, the hindrance caused by internal and external political factors can affect the economy or quality of life. Leaders play a crucial role in the well-being of an organization. Fostering business success can ensure that the organization becomes dynamic within and outside its country of operation. Business failure occurs when poor leadership is exercised through factors emanating from the political climate.
Effective leadership is necessary for an organization to be competitive. Unsatisfactory leadership is a problem, primarily from external environmental factors. External environmental factors are not easy to sort because they are beyond the controllable means (Friedman Lissner & Rapp-Hooper, 2018). Past research focused on failures of leadership values based on internal factors. The study aims to unfold the effects of leadership challenges that emanate from unethical external behaviors in political cultures.
The phenomenological design of the study requires the research questions to be used as a guide in data collection. The central goal is to explore the organizational leaders and the political factors that affect their leadership styles. I will use a quasi-experimental research design because I aim to identify the causative effect of the relationship between leaders’ and politicians’ ideologies. Through the formulation of their ideologies, I can deduce the quantitative outlook and impact that it has on various organizations.
Quasi-Experimental Research Design
Using quasi-experimental research is ideal for finding between the independent variables, the leaders, and the dependent variable the politicians’ ideologies. Subjecting to the outlook of politicians and their mandates in governing the country, there is a chance of knowing the extent of their influence on organizational leaders. The experiment cannot be carried out efficiently without a quasi-design because it is practical (Gopalan et al., 2020). The mode of the invention is effective in higher external validities, and it is usable in real-world interventions as opposed to artificial laboratory settings. Leaders’ ethical practices can also be analyzed based on their actions and benefits to the organization. Quasi-experimental design can equate honesty, fairness, trustworthiness, and care in behavior models and formulate a framework linked to a country’s political orientation (Gopalan et al., 2020). The principles of justice and environmental dynamics can eliminate directional problems. Therefore, the research method shows efficiency in every aspect of the study, and it can quantify the subjects of concern based on a non-equivalent group design.
Modes of Data Collection
It is ideal to select the number of leaders for study analysis. The purpose of sampling is to show the current organizational leadership trends and ensure a smooth transition throughout their leadership. COVID-19 made many political leaders make moves that affected various companies. Every company was concerned, and their leaders had to ensure they stayed true to their goals. Equally, I will look for retired leaders of reputable organization to question them on the 2007 great recession. Using the two variables will formulate a financial performance and the organizational results of every move made by politicians to the institutions. Nonetheless, analyzing the financial records of organizations between the 2007 recession period and the COVID-19 era will enable me to graphically represent the formulation of their records and deduce essential facts.
The baseline of the research is to compare the political overviews that affect the leadership of a given organization. Through analyzing the lowest moment within a nation, some moves made by political leaders are objectively posed to influence the organizational leaders. The policies and techniques will indicate the regressions of continuity and potential bias. It is eligible data because my research relies on quantitative analysis to develop systematic formulations.
Analysis of Data
I will use regression-based and non-experimental methods such as sample selection and instrumental variable models to analyze the data. The Hackman models effectively analyze the quasi-experimental research because they capture the outcome of the synthetic investigation and systematically indicate the regression approaches such as the ordinary least squares (OLS) (Tafvelin et al., 2018).. It also shows the interrupted time series whenever the politicians make some reforms (Tafvelin et al., 2018). The analysis method is the ex-post single difference, also known as the difference in differences (DID). The DID can retrospectively show the preliminary estimates of the planning schedule. The time taken for politicians to affect the leadership of an organization can be shown in this design, and the formulation of neutralizing instances can save the company from accruing losses.
The data will be grouped in propensity score matching (PSM) to enable me to calculate the average differences of unbiased estimates and statistically represent them in a chart. PSM improves the estimates propensity scores, ensures there are elaborate representations, and ambient selection of matching logarithms of ideologies (Tafvelin et al., 2018). The data collected in the 2007 recession and the COVID-19 period will be bundled into groups so that the PSM can administer sensitive reconstruction in deciding the variables.
Friedman Lissner, R., & Rapp-Hooper, M. (2018). The Day after Trump: American Strategy for a New International Order. The Washington Quarterly, 41(1), 7-25.
Gopalan, M., Rosinger, K., & Ahn, J. (2020). Use of Quasi-Experimental Research Designs in Education Research: Growth, Promise, and Challenges. Review of Research in Education, 44(1), 218-243.
Tafvelin, S., Stenling, A., Lundmark, R., & Westerberg, K. (2018). Aligning job redesign with leadership training to improve supervisor support: a quasi-experimental study of the integration of HR practices. European Journal of Work and Organizational Psychology, 28(1), 74-84.