Impact Of Supportive Leadership Behaviour (slb) On Firm Performance: A Comparison Of Public And Private Institutions In The Service Industry

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Abstract.

The study aims to compare the levels of supportive leadership behavior between private and public companies in the service industry and establish whether there is a corresponding impact on the performance of the firms. The study will be a quantitative survey that will involve the collection of data using a questionnaire as well as an analysis of financial reports of the selected firms and use Microsoft Excel data Analysis tool pack to develop a regression model. In the findings, it is expected that companies in the private sector will have higher performance as compared to those in the public sector. It is also expected that companies with a higher level of supportive leadership practices will have a higher level of employee satisfaction, and higher financial performance.

Background of the Study

Several studies have been conducted to establish the impact of supportive leadership behavior on employee satisfaction and job performance. The conclusions derived from the studies should specify how the applicability differs from one industry to another, and how the inference varies between the private and public sector.  It is worth noting that the work environment in the service industry differs substantially from the work environment in other industries. The work environment in the service industry is more susceptible to quick-paced changes as compared to the work environment in other industries (Bourini, et al., 2019). As such, employee management techniques that may be effective for use by managers in the manufacturing firms do not necessarily produce similar results in banks, or any other firm in the service industry. While employees in industrial manufacturing firms often deal with machines and tools, their counterparts in the service sector deal directly with clients, who can read their moods and respond accordingly. As such, employee psychological and emotional factors that are affected by the working environment are easily noticeable to the clients in the service industry than other industries. For instance, a study by Al-Zoubi and Alomari (2017) revealed that unsatisfied employees provide low-quality services, and the impact of such low-quality services is evident in the tourism and hospitality industries. These two industries involve a direct engagement between employees and clients, and that could be the reason why the impact is noticeable easily.

Firms in the service industry should maintain high levels of employee satisfaction because there is a positive relationship between job satisfaction and customer retention, which then affects firm value. It is reported that satisfied employees are internally motivated and willing to support customers, respond appropriately to customer queries, and meet the customers’ needs satisfactorily (Bourini, et al., 2019). This implies that firms can enhance client satisfaction through employee satisfaction. Firms in the service industry are increasingly recognizing that there is a significant positive relationship between firm value and the employee-customer relationship (Sohail & Jang, 2017).  It is reported that a satisfied customer is highly likely to become a repeat customer, helping the company to maintain a market share and improve shareholder value (Sohail & Jang, 2017). Companies can enhance employee satisfaction and morale for work by encouraging supportive leadership behavior. This study will compare the levels of supportive leadership behavior between private and public companies in the service industry, and establish whether there is a corresponding impact on the performance of the firms.  

Statement of the Problem

The question of whether organizations that provide essential services should be private or owned by the government is a matter that has triggered heated debates for many years (Lyon, et al., 2017). There is a widespread belief that private companies perform better than their public counterparts because of the difference in leadership styles and external influence. Over the past few decades, several companies that provide essential services such as water, electricity, and telecommunications have been privatized in some countries across the world. For instance, the UK privatized water, gas, electricity, and telecommunication services (Lyon, et al., 2017). Similarly, the insurance and banking services in France were shifted to private ownership (Lyon, et al., 2017). This trend calls for a need to establish the differences in the key areas of management between private and public firms, focusing on the elements that are associated with employee satisfaction and productivity.

Quite often, managers of public corporations are forced to adopt burdensome policies, yet they add insignificant value to the performance of the firm (Kaufmann & Tummers, 2017). Consequently, there is a significant decline in job involvement, job satisfaction, and commitment of employees (Kaufmann & Tummers, 2017). This assertion implies that there is an inadequate level of supportive leadership among public companies because of the red tape associated with the environment in which they operate. Therefore, managers are directed by external supervisors as they also direct their juniors, creating a directive leadership behavior. As such, there is a need to evaluate the level of supportive leadership practices among public corporations and private corporations in the service industry, and determine whether there are significant differences. Again, it is essential to determine whether the identified differences in the level of supportive leadership behavior account for the differences in firm performance.

Research Questions

·         Is there a significant difference in the level of supportive leadership behavior between private firms and public firms in the service industry?

·         Is there is a significant difference in the performance of private and public corporations in the service industry?

·         Does the level of supportive leadership behavior affect the performance firms in the service industry?

Research Aim

The study aims to compare the levels of supportive leadership behavior between private and public companies in the service industry and establish whether there is a corresponding impact on the performance of the firms. Even though firm performance may be affected by factors other than leadership behavior, there is a likelihood that the behavior of leaders is a significant contributor to the performance of the firm. The research will unravel the relationship between firm performance and supportive leadership behavior. The aim of the study is summarized in the form of the objectives below:

Research Objectives 

·         To identify the difference in the level of supportive leadership behavior between private firms and public firms in the service industry.

·         To investigate the existence of differences in the performance of private and public corporations in the service industry.

·         To examine the relationship between the level of supportive leadership behavior and the performance of firms in the service industry.

Literature Review

Cross-Sector Analysis of Firm Performance

The difference in the performance of firms in the public sector and the private sector is reported to be partly associated with the differences in the attitudes of employees in both sectors. As managers in both sectors develop strategies and models of improving firm performance, some of them apply strategies that enhance the performance of their firms through the triggering of favorable employee attitudes. According to White and Bryson (2019), managers aim at influencing the employees’ perceived communications with management, enhancing job commitment, employee well-being, and job satisfaction. In the private sector, employees are more sensitive and responsive to such initiatives as compared to their counterparts in the public sector (White & Bryson, 2019). As such, managers in the private sector achieve the objectives of their strategies with more effortlessly as compared to managers in the public sector.

The differences in the performance between public and private institutions are also explained by the trends in the privatization of firms. Even though many reasons account for the need to privatize a company, the fact that companies perform better when they are privatized is an intriguing phenomenon. A study by Khan and Ullah (2018), on a telecommunication company, found a positive correlation between privatization and financial performance, however, employee satisfaction declined as customer satisfaction improved. The findings of this study are puzzling, given that the expected high performance should be a product of higher employee satisfaction. Nevertheless, other studies such as those conducted by Jayasundara et al. (2020) and Earle (2019) show that the high performance of privatized firms is associated with higher employee satisfaction. Privatized firms aim for higher productivity, which later translates into higher wages, while public firms aim to satisfy political motives (Earle, 2019). Even though there are slight differences in the findings, the three studies converge at the conclusion that privately-owned companies perform better than publicly owned companies.    

Supportive Leadership Behaviour and Employee Satisfaction

Leadership style and behavior affects the productivity and job satisfaction of employees. Studies show that there is a positive relationship between supportive leadership practices and employees’ productivity (Shin, et al., 2016; Inceoglu, et al., 2018). Again, Previous studies that have examined the relationship between supportive leadership and employee satisfaction have found a positive relationship between the two variables. It is reported that satisfied employees are internally motivated and willing to support customers, and they respond appropriately to customer queries, hence meeting the customers’ needs satisfactorily (Bourini, et al., 2019). This assertion implies that client satisfaction is substantially affected by employee satisfaction, and firms can enhance client satisfaction through employee satisfaction. This logic is already being applied in the service industry, where firms are increasingly strategizing on improving employee-customer relationships, following the realization that such relationships have a positive impact on firm value (Sohail & Jang, 2017).  It is reported that a satisfied customer is highly likely to become a repeat customer, enabling the company to maintain a market share and improve shareholder value (Sohail & Jang, 2017). Companies can enhance employee satisfaction and morale for work by encouraging supportive leadership behavior.

Supportive Leadership Activities

There is also a need to identify some of the supportive leadership activities and practices that have a significant impact on the productivity and job satisfaction levels of employees. An understanding of these practices will enable the research in developing the right variables that need to be used in assessing the level of supportive leadership behavior. According to Schmidt et al. (2018), supportive activities include friendly but professional employee-supervisor relationships, employee’s effort recognition, praise for accomplished tasks, employee performance feedback, and direct support in difficult situations.

Research Methodology

A research methodology is a theoretical presentation of the systematic techniques that a researcher uses to conduct the study (Igwenagu, 2016). In other words, a research methodology guides the researcher by outlining how the research should be conducted and provides justification for the methods used. There are various philosophies relating to how research can be conducted. According to Igwenagu (2016), a researcher can use surveys, experiments, case studies, simulations, subjective research, among others, to achieve their objectives. Surveys are mostly used in the fields of education and social sciences, while experiments are mostly used in natural sciences (Igwenagu, 2016). This research is a survey because it aims to collect data about the leadership practices among employees, financial performance data in private and public sectors, and determine how the variables interrelate.

Data Collection

The data collection process prompts the researcher to make choices concerning the sampling method, use of control variables, and how to treat missing data (Aguinis, et al., 2019). In a survey, data can be collected using interviews, observations, and questionnaires (Igwenagu, 2016). Again, data can either be collected from secondary sources or primary sources (Igwenagu, 2016). The data collection process starts with the determination of whether the entire population can be used in the study or only a section of it. While using the entire population in the study can produce more accurate results, the approach is inapplicable if the population is too large, and if there is limited time and resources (Igwenagu, 2016). Under such circumstances, a sample of the population can be used. There are several methods of sampling. According to Moser & Korstjens (2018), a researcher can use convenience sampling, purposive sampling, criterion sampling, snowball sampling, among others, depending on the circumstances of the study.

This study will use criterion sampling, defined as a sampling technique where only participants that meet a particular criterion are considered (Moser & Korstjens, 2018). In this study, companies will be selected based on whether they are public or private if there are sufficient financial reports about them, and their willingness to let employees participate in a survey. The study aims to involve ten companies, five from the private sector, and the rest from the public sector. Furthermore, ten employees per company are expected to be included in the study as participants. The data collected will be both primary and secondary. The primary data will be obtained through a questionnaire that will be sent to the respondents in the selected companies.

The questionnaires will not be sent to all the eligible employees. A sample of 10 employees will be used, to minimize the cost of the data collection process as well as the time spent on the exercise. The respondents will also be sampled using criterion sampling, and they will include frontline employees who deal directly with customers, and only those who have served the company for a considerable period and interacted sufficiently with the managers and supervisors. Then each of the selected participants will be issued with a close-ended questionnaire to fill the responses that align with their observations.

There are also measures put in place to enhance the efficiency and accuracy of the data collection process and subsequent analysis. First, the researcher will be available at all times to give any clarifications where necessary and enhance the accuracy of responses. To achieve this, the researcher will present the questionnaires to each company at different times, making it possible to attend all the sessions. Secondly, the researcher is expected to present the questionnaires physically, and not through mailing. Even though presenting the questionnaires through mailing is more cost-effective, the technique is associated with high non-responses, and sometimes, the questions can get lost (Igwenagu, 2016). Mailing the questionnaires will maximize the chances of non-responses, which will reduce the sample size, and interfere with the conclusions inferred from the findings. Thirdly, the number of questions on the questionnaire will be less than 15, and they will be arranged in an orderly manner, enhancing the flow of the respondents’ thoughts. It is reported that many questions make the questionnaire voluminous, and the respondents are likely to get discouraged, leading to a higher number of non-responses (Igwenagu, 2016). The questions will also be close-ended, including yes or no responses, and responses that show the degree on a scale of 1-5.

Once the questionnaires are collected, the data will be analyzed to determine the level of each supportive activity as shown in Table 1.

Table 1. Supportive Leadership Activities

Supportive Leadership activity

Observations

Private Firms

Public Firms

Employee-supervisor relationships

 

 

Direct support in difficult situations

 

 

Employee’s effort recognition

 

 

Praise for accomplished tasks

 

 

Employee performance feedback

 

 

 

The financial statements of the companies in the selected sample will be analyzed and the findings will be summarized as shown in table 2.

Table 2. Firm Performance

Firm Performance

Observation

Private Firms

Public Firms

Customer Retention Rate

 

 

Revenue Growth

 

 

Operating Margin

 

 

Capital Efficiency

 

 

Return on Equity

 

 

Return on Assets

 

 

 

Data Analysis

The data will be analyzed using the Microsoft Excel data analysis tool pack. The process will involve the conversion of non-numerical responses into numerical values. The yes or no responses will be converted into dummy variables of 0 and 1, to enable the software to analyze the values. Other non-numerical responses will be converted into suitable corresponding numerical values. For instance, responses that aim to establish the level of agreement or disagreement will be treated as follows: Do not agree =0, partially agree=1, agree=2, totally agree=3, etc. The financial reports of fixed financial years will be analyzed to determine the trend in the firm performance, to eliminate the possibility of the findings being caused by mere chance.

Once the data is organized and cleaned, the Microsoft Excel data Analysis tool pack will be used to perform a regression analysis to identify the relationship that exists among the variables. A regression analysis conducted by the Microsoft Excel data Analysis tool pack informs the researcher about the strength of the relationship and the extent to which the sample results can be used to explain the characteristics of the population.  

Expected Results

It is expected that companies in the private sector will have higher performance as compared to those in the public sector. It is also expected that companies with a higher level of supportive leadership practices will have a higher level of employee satisfaction, and higher financial performance.

Conclusion

Private companies perform better than their public companies in the service industry. Several countries have been observed privatizing some of the companies including those that provide essential services. Many factors account for the difference in the performance of private and public companies in the service industry, and one of them is likely to be the level of supportive leadership behavior. This study aims to evaluate the level of supportive leadership practices among public corporations and private corporations in the service industry and determine whether there are significant differences. Again, the study aims to determine whether the identified differences in the level of supportive leadership behavior account for the differences in firm performance. The study will be a quantitative survey that will involve the collection of data using a questionnaire as well as an analysis of financial reports and use Microsoft Excel data Analysis tool pack to develop a regression model. The approach is likely to be limited by the subjective nature of the respondents’ responses.

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GradShark (2023). Impact of Supportive Leadership Behaviour (SLB) on Firm Performance: A comparison of Public and Private Institutions in the Service Industry. GradShark. https://gradshark.com/example/impact-of-supportive-leadership-behaviour-slb-on-firm-performance-a-comparison-of-public-and-private-institutions-in-the-service-industry

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