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Leadership Style as a Predictor of Employee Safety Performance in Oil and Gas Industry

Abstract

Some managers experience challenges in addressing workplace safety concerns and employees' needs to enhance worksite safety performance. This quantitative simple linear regression research examined if/to what extent a relationship existed between managers’ safety-specific transformational leadership style and employee safety performance in the oil and gas industry in southeast Saskatchewan, Canada’s oil and gas industry. We used 89 valid anonymous responses from 32 organizations for the data analysis. The statistical test showed managers’ safety-specific transformational leadership styles could significantly predict employees’ safety performance (F(1, 89) = 49.03, p<0.001, R2 = 0.36). Additionally, the curve estimation of the data revealed that about 35.4% to 38.30% of the change in employees’ safety performance was attributed to managers' safety-specific transformational leadership behaviors. This research has broad implications, a medium to large effect size, and a higher confidence level. The findings of this research encourage the oil and gas businesses to promote and grow more safety-specific transformational leaders to attain higher employee safety performance excellence in the industry.


Keywords: Safety-specific transformational leadership, safety motivation, safety incident, and safety performance


How to Cite

Kathayat, A., & Burchell, J. (2024). Leadership Style as a Predictor of Employee Safety Performance in the Oil and Gas Industry. Business Management Research and Applications: A Cross-Disciplinary Journal, 4(1). https://doi.org/10.54093/bmra.v4i1.8197 


 To correspond with the first author:  Tel: (1)306.453.0077. Cell: (1)306.575.8019, 

E: rjnkathayat@hotmail.com, ohnscentre@gmail.com 


Published by Business Management Research and Applications: A Cross Disciplinary Journal (Peer-Reviewed Journal)  Vol. 4 No. 1 (2025) 

 https://doi.org/10.54093/bmra.v4i1.8197 


Published 12/29/2024 

Introduction 

Leadership involves efficiently making a difference  in the personal and professional lives of colleagues,  subordinates, business organizations, communities, and  other stakeholders. Business issues are essential, especially  those related to human suffering or losses due to  preventable or controllable workplace incidents. Employee safety performance is a critical business issue  for the employees and colleagues working together around the safety-sensitive oil and gas job sites and  the families and loved ones waiting for their safe arrival at home.  Both the province of Saskatchewan and Canada face significant workplace incidents each year,  causing a tremendous amount of lost-time injury claims and even fatalities. There were 334 fatalities in  Canada-wide, and Saskatchewan experienced 15 workplace fatalities in 2021. The compensation provided  by Canada to the injured workers was 7,993.6 million dollars, 8439.6 million dollars, 8612.3 million  dollars, and 9,128.0 million dollars in 2018, 2019, 2020, and 2021, respectively. Saskatchewan's WCB  paid 215.8 million dollars, 222 million dollars, 222.0 million dollars, 215.7 million dollars, and 228.6  million dollars to the injured workers in 2018, 2019, 2020, and 2021, respectively (Association of  Workers' Compensation Boards of Canada, n.d.-a, n.d.-b, n.d.-c, n.d.-d). Hence, it is pertinent for the  business world to proactively address workplace safety-related issues, especially employee safety  performance and appropriate leadership style. Scholars have extensively studied workplace safety,  leadership styles in general, and the significance of safety leadership for workplace safety in the past.  Various oil and gas industry studies discovered or recommended multiple leadership styles for  workplace safety or employee safety performance. Further, as per Furey and Rixon (2020), leadership  lacked, to some extent, commitment and honesty in Atlantic Canada’s offshore oil sector. Despite being  mandated by the Canada Energy Regulatory, only 72% of the oil and gas industry companies allocated  the resources to grow the safety culture (Government of Canada: Canada Energy Regulator, 2021) in  2020. On the other hand, Addo and Darty-Baah (2019) claimed that the transformational leadership style  of leaders could predict employee safety behaviors, also referred to as employee safety performance.  Thus, there was contradictory or confusion and ambiguity on what leadership style business organizations  and managers in the oil and gas industry in southeast Saskatchewan, Canada, could or should embrace to  cultivate and grow higher employee safety performance in the workplace to generate values for multiple  stakeholders, including owners/investors, communities, and employees of the business organizations.  


Literature Review

To complete the extensive literature review in this research, the researchers scanned the reference  pages of credible peer-reviewed journal articles by previous scholars. We reviewed the secondary  sources, websites, conferences, and other such sources and cited if required to provide a specific context  to the readers. Even though it appeared there were over 110 years of workplace safety literature (Eastman,  1910; Hofmann et al., 2017), due to the limited time and resources, we primarily focused on how the  research variables, safety-specific transformational leadership and safety performance had been  researched since 2018 to date.  


Transformational Leadership

 A transformational leader can be described as “one who motivates us to do more than we  originally expect to do” (Bass, 1985a, p. 20, 1985b, p. 31), which is also introduced as “the one, best way  to lead” (Willis et al., 2021). During the literature review of past studies, this research observed that  scholars were primarily inspired by Burns’ (1978, 2003) definition or Bass’ (1985a) interpretation of  transformational leadership. In short, transformational leadership is a change agent (Kariuki et al., 2022) that motivates subordinates to attain more meaningful goals for teams, organizations, or individuals by  “challenging the status quo” (Mwesigwa et al., 2020, p. 255). The conceptual framework for this research  included the Full-Range Leadership Model (FRLM) by Bass (1985a). The FRLM is a generic leadership  theory with three separate categories: transformational, transactional, and laissez-faire, also known as  “non-leadership” (Bass & Riggio, 2006, p. 7) or passive-indifference (Bass & Riggio, 2006; Draghici et  al., 2022; Khan et al., 2014; Lee et al., 2019; Northouse, 2019, 2022; Yukl, 2013). Employee (safety)  performance or job satisfaction was the second theory in the conceptual framework of this research. The  Theoretical Framework: Leadership Styles as a Predictor of Employee Safety Performance depicts the  study's theoretical framework (See Figure 1). 

 

Components of Transformational Leadership 

Past scholars identified multiple components (three, four, and even six components) of  transformational leadership. Bass (1985a) alluded that transformational leadership had “three  components: charisma, intellectual stimulation, and individualized consideration” (Hofmann &  Morgeson, 2004, p. 176), and Podsakoff et al. (1990) recognized six behaviors or components of  transformational leadership, as also cited by Ferozi and Chang (2021) and Peng et al. (2020): articulating  a vision, fostering the acceptance of group goals, setting high-performance expectations, providing an  appropriate model, intellectual stimulation, and individualized support” (p. 112). Past scholars, such as  Bass and Avolio (1990), Bass and Riggio (2006), Hoch et al. (2016), Irshad et al. (2021), Kayaalp et al.  (2021), Minhaj et al. (2019), Mwesigwa et al. (2020), Peng et al. (2020), Smith et al. (2020) studied the  four components or 4I’s of transformational leadership: Idealized Influence (II), Inspirational Motivation  (IM), Intellectual Stimulation (IS), and Individualized Consideration (IC). The 4I’s are components of  transformational leadership as explained by Bass and Riggio (2006, pp. 5-7) and measured safety-specific  transformational leadership (independent variable) with the customized eight-item measuring instrument  inspired with Barling et al. (2002), by Sawhney and Cigularov (2019). Despite the criticism regarding  transformational leadership pointed out by Yukl (1999), Northouse (2019), and Andersen (2015),  transformational leadership has a broader application, as Burns (1978) claimed and posited that safetyspecific transformational leaders, with those four specific components (II, IM, IS, and IC), might generate  an “additive effect” (Northouse, 2019, p. 273, 2022), motivating subordinates to attain higher safety  performance.  


 Safety Performance/Job Satisfaction Theory 

 Safety performance in this research represented employees’ ability to perform the job safely,  minimizing workplace injuries or preventing workplace incidents while complying with the applicable  rules and regulations (Barling & Frone, 2004; Barling et al., 2002; Najj et al., 2021). The literature agree  that a close relationship exist between workplace injuries, accidents, and motivation (Mariani et al.,  2015). On the other hand, “job satisfaction is the pleasurable emotional state resulting from the appraisal  of one’s job as achieving or facilitating the achievement of one’s job value” (Locke, 1969, p. 316). As per  Robbins and Judge (2018) and Spector (2022), job satisfaction is an attitude and “the extent to which  people liked (satisfaction) or disliked (dissatisfaction) their jobs” (Spector, 1997, p. 2). Simply put,  employees with higher job satisfaction have greater positive feelings towards their jobs than employees  with lower job satisfaction. 


 Safety-Specific Transformational Leadership (Predictor) 

 Safety-specific transformational leadership (SSTL) is the only predictor variable of this research.  Business researchers have extensively studied safety-specific transformational leadership to examine or  explore the effectiveness or impact of safety-specific transformational leadership on workplace safety.  Despite the previous research, such as Lu et al. (2019) and Mirza and Isha (2020) on workplace safety and  safety leadership, Irshad et al. (2021) called out the limited knowledge of safety leadership in the body of  literature. They completed a quantitative time-lagged study to examine if/to what extent safety-specific  transformational leadership and safety consciousness of healthcare workers impact the employees’  perceived risk on COVID-19 and psychological well-being at the workplace.  


Safety Performance (Outcome Variable) 

According to Campbell et al. (1993), “performance is what the organization hires one to do and  do well” (p. 40). The opponents of Campbell et al. (1993) model of performance criticism, such as  Hesketh and Neal (1999), also noticed by Neal et al. (2000, p. 101) that Campbell et al. (1993) do not  consider “the situational factors” that can impact the individual's performance. Nevertheless, Campbell et  al. (1993) significantly reviewed and cited literature on performance. Adapting the concept from the  definition of performance by Campbell et al. (1993), should safety-sensitive organizations or industries,  as noted in Burke et al. (2002, p. 431), such as chemical processing, manufacturing, and mining, define  safety performance in what the organizations hired employees to do and do well.  


For this research, safety performance was defined as the employees’ workplace safety-related job  performance as (un)expected by the business leaders, including managers and supervisors, business  organizations, industry, and the laws. The quality of employee safety performance can be expected  because, as Campbell et al. (1993) define it, this research posited that employees in the oil and gas  industry in southeast Saskatchewan, Canada, are considered hired to do work and do it safely. The  business organizations in the oil and gas industry in southeast Saskatchewan, Canada, generally provide  employees with workplace health and safety orientation to be informed on workplace safety expectations  and to perform their jobs safely. 


Safety-Specific Transformational Leadership and Safety Performance  

 Literature, such as Zhao et al. (2022), discover the relationship between safety-specific  transformational leadership and safety participation. Additionally, various literature on safety-specific  transformational leadership and safety behaviors (Draghici et al., 2022), optimal safety leadership and  safety performance (Willis et al., 2021), safety-specific transformational leadership and employee’s nearmiss recognition ability (Lu et al., 2019), safety-specific transformational leadership and employee’s  learning goal orientation (Lu et al., 2019), safety-specific transformational leadership and workplace  accidents (Mirza & Isha, 2020), safety-specific transformational leadership and safety voice (Conchie et  al., 2012), and safety-specific transformational leadership and safety motivation (Smith et al., 2020)  indicate that safety-specific transformational leadership and employee safety performance having, to  some extent or significant statistical relationship.  Further, based on the findings of multiple literature, we posited that the general leadership style  of transformational leadership and employee performance had to have, to some extent a significant  relationship, even though Nelviana et al. (2022) suggested that there was no significant relationship  between transformational leadership and employee performance during COVID-19 pandemic on remote  working employees in various companies in Jakarta. 


Further, Chen et al. (2018) discovered a “U-shaped  relationship” (p. 19) between transformational leadership and employee task performance in northern  China’s specific manufacturing, telecommunications, and hotel industries, as well as the Bank of China.  In addition, Bazzoli et al. (2020) reported that safety-specific transformational leadership, also known as  transformative safety leadership, predicted a promotive safety voice in the workplace.  


The literature review during this research gained no knowledge or limited knowledge on if/to  what extent safety-specific transformational leadership could predict employee safety performance in the  oil and gas industry in southeast Saskatchewan, Canada. Thus, the following research question and  hypothesis are used for this research: 


Research Question (RQ): Do Safety-specific transformational leadership style scores of  managers predict employee safety performance in the oil and gas industry in southeast Saskatchewan,  Canada? 

Null Hypothesis 1 (H10): Managers' safety-specific transformational leadership style scores do  not significantly predict employee safety performance in the oil and gas industry in southeast  Saskatchewan, Canada. 

Alternative Hypothesis 1 (H1a): Managers' safety-specific transformational leadership style  scores significantly predict employee safety performance in the oil and gas industry in southeast  Saskatchewan, Canada. 

Methods

This research study utilized a quantitative, simple linear regression design. The two primary data  sources were the safety-specific transformational leadership instrument and the employee-perceived  overall job satisfaction instrument, excluding the demographic questionnaires. The existing survey  instrument was adopted for safety-specific transformational leadership style (predictor) customized by  Sawhney and Cigularov (2019). Further, Sawhney and Cigularov (2019) completed the confirmatory  factor analysis (CFA) on the measuring instrument in their study’s context. Thus, this research reused  Sawhney and Cigularov’s (2019) safety-specific transformational leadership instrument by following the  approach of previous scholars and had a Cronbach’s alpha of 0.93. The employee-perceived overall or  global job satisfaction survey developed by Cammann et al. (1983) was used even though there was a  debate in academia about whether the global job satisfaction or facet-composite job satisfaction survey  had greater validity (Bowling & Zelazny, 2022).  


This research study was conducted in southeast Saskatchewan, Canada’s oil and gas industry. The  participants were associated with multiple business organizations that provided products and services to  the local oil and gas industry, including contractors and self-employed persons, and internal employees of  the business organizations that explored, extracted, produced, and refined oil and gas energy in southeast  Saskatchewan, Canada. A convenience sampling strategy and G*Power 3.1.9.4 software were used to  determine the sample size. Effect size was 0.30, type I error (α) was 0.05, and type II error (1-β) was 0.80 to calculate the sample size. The likelihood of type I and type II errors was reduced with a confidence  level of 95%. This research's minimum sample size was 29 employees working in the oil and gas industry  in southeast Saskatchewan, Canada. 


 Data Collection Procedures 

Paper format survey packages were created for participants who preferred paper format and  online versions of survey instruments with the help of SurveyMonkey, an online platform for the  participants who chose technology to complete the survey instruments. Responses were collected from the  population interested in participating in this research voluntarily. Before and after reviewing the consent  form, the potential participant could freely decide to leave the study or proceed to complete the survey  instruments of this research. Participants completed the surveys electronically via SurveyMonkey online  or returned the completed surveys to the author personally or via their company representative, enclosing  them in sealed envelopes. The research participants from the oil and gas industry in southeast  Saskatchewan, Canada, rated their managers' or supervisors’ safety-specific transformational leadership  styles on a Likert scale of 1 to 5, with 1 being “not at all” and 5 being “frequently, if not always.” Finally,  participants rated their overall job satisfaction on a Likert scale of 1 to 7, with 1 being “strongly disagree”  and 7 being “strongly agree.” The overall job satisfaction survey with three items used in this research  also had an item with a Reverse (R) score.  


Data Analysis

Invitations were sent to 41 business organizations, including larger and small oil and gas  producers, contractors, and consultants, via emails and personal text messages. Among 41 business  organizations, 31 oilfield businesses and one non-profit organization, which had the authority to inspect,  issue, or reject operating licenses of the boiler and pressure vessels used in the oil and gas industry in  southeast Saskatchewan, participated in this research. Nine business organizations did not respond to the  invitations or did not wish to participate in this research. Ninety-seven anonymous responses (paper  format: 34 and online surveys: 63) were collected from January 24 to January 31, 2023. Only one  anonymous online response was submitted on February 1, 2023, after the deadline set by this research,  which was also considered in the data analysis. Participants took about 2 to 10 minutes to complete online  surveys, and most of the responses were submitted on the first day of the study (January 24, 2023). Thus,  the response rate of the oilfield business organizations for this research was 78%, and a total of 89 valid  responses were accepted for the data analysis of this research. The data were compiled, cleaned, and  outliers were addressed in the data analysis procedure. The assumptions associated with the research  design were assessed. Regression testing was performed. The results are reported below.  

Results and Discussion

Descriptive Statistics 

Demographic responses were coded to simplify the descriptive statistics analysis process in SPSS  28.0. We coded “male = 0,” “female = 1,” “yes = 1,” and “no = 0” for both “EC” and “C” in SPSS 28.0.  “EC” was short form for the oil and gas energy companies that explored, extracted, produced, refined, or   transported oil and gas energy in southeast Saskatchewan, Canada, and “C” represented companies that  provided products or services to the oil and gas industry in southeast Saskatchewan, Canada, including  oilfield contractors/ consultants. “EM” in this research represented the research participants’ experience  in the number of years working with/under the current managers/supervisors, and “IE” was abbreviated  for the participants’ industry experience in the number of years in this research. Table 1 displays the  frequency and statistics associated with the demographic of the research participants. 

Preliminary Statistics

Outlier Analysis 

Outliers outside +3 to -3 standard deviations from the mean of each variable would be considered  extreme outliers. The data analysis of this research did not reveal any extreme outliers in the collected  data.  


Reliability Analysis 

Table 2 reported the reliability scores of research instruments for safety-specific transformational  leadership (predictor variable) and employees perceived overall job satisfaction (response variable) in this  research. The reliability scores of safety-specific transformational leaderships (predictor variable) with  eight items and employee's perceived overall job satisfaction scores (response variable) with three items  to measure employee safety performance were significantly reliable in this research.  

Testing Assumptions Associated with the Research Design

Normality Testing 

Normality testing is a statistical method for evaluating the (non-normal distribution of research  data. Table 3 displays the tests of normality associated with this research’s data. 

 The p-values for both independent and dependent variables were significantly less than 0.05.  However, “reporting p-value with null hypothesis testing” (Nahm, 2017, p. 241) is not a universally  accepted practice or free from criticisms. Based on the literature, such as that of Nahm (2017), this  research posited that p>0.05 only meant “no evidence” of the normal distribution of data. Still, it did not  mean there was “evidence of no” normal data distribution. This research further analyzed skewness,  kurtosis statistics, histograms, QQ plots, and PP-Plots of the dependent and independent variables to  assess the normal distribution of the research data. The skewness and kurtosis of the research data should  be within the range of +2 to -2 for the normal data distribution (Garson, 2012). In this research, the  average scores of safety-specific transformational leaderships had skewness of -0.962 with a standard  error = 0.255 and kurtosis of 0.144 with a standard error = 0.506. The average scores of employees' perceived overall job satisfaction variable had skewness of -.1.166 with standard error = 0.255 and  kurtosis of 1.129 with standard error = 0.506. We plotted histograms and QQ-plots of both research  variables (independent and dependent variables) to make an informed decision regarding the (non-normal distribution of the research data or residuals.  


The early data points emerged as an imaginary line closer to a slope of 45 degrees, though later,  some data points scattered ununiformly. Based on this finding, we assumed that the data points were  approximately normally distributed enough to satisfy the assumption related to the normal distribution of  the residuals of the dependent variable for this simple linear regression study. Figures 2 and 3 represent  the approximately normal distribution of residuals associated with the dependent variable (JSAVG).  Therefore, we determined to test the simple linear regression in the following section of this research.  

Testing Linear Regression


In this section, we performed simple linear regression and developed various tables and charts  associated with the regression test results. The Pearson correlation value displayed in Table 4 shows a  significant relationship between the independent and the dependent variables.   

The model summary (see Table 5) with an R-square value of 0.36 is significant, suggesting that  36% of the change in employee safety performance (dependent variable) can be influenced by managers’  safety-specific transformational leadership styles (independent variable). 

 Table 6 shows that the impact of managers’ safety-specific transformational leadership on  employees’ safety performance is significant, F(1, 87) = 49.03, p <0.001. 

Multicollinearity 


Multicollinearity was tested in this study, and findings indicated no significant issue.  


Residuals  


Table 7 shows various statistics associated with residuals, such as Cook’s distance, which has a  minimum value of 0 and a maximum value of 0.264. This indicates that this study's residual or point is  not highly concerning.  

 The test results were significant, F(1, 89) = 49.03, p<0.001, R2 = 0.36. This test result could be  interpreted as about 36% of the change in employee safety performance in southeast Saskatchewan,  Canada's oil and gas industry, can be attributed to managers' or supervisors’ safety-specific  transformational leadership behaviors at workplaces. We are convinced that the cases or so-called outliers  mentioned were associated with the research sample. Hence, the simple linear regression analysis was  computed considering those cases or outliners and was valid in this research’s context. 



 Additional Data Analysis: Curve Estimation 

 During the data analysis process, simple linear regression data points seemed skewed on one side  of the charts, scattered ununiformly or appeared non-normally distributed or had a curvilinear pattern at  some points. Curve estimation was performed because of the data distribution in this research. We  computed complex regressions with the help of SPSS 28.0. We compared the tests of curve estimation  with the findings of this research’s central research design and data analysis: simple linear regression. The  following section reports the model equations for each regression model calculated by this research. Table  8 displays the comparative results of linear, logarithmic, inverse, quadratic, cubic, S-curve, and  exponential regression.


Table 8 represents the test results of various curve estimations: logarithmic, inverse, quadratic,  cubic, S-curve, and exponential via SPSS 28.0. All seven R2 values associated with linear regression,  logarithmic, inverse, quadratic, cubic, S-curve, and exponential, were statistically closer. The curve  estimations in this research discovered that 35.40% to 38.30% of the change in employee safety  performance in the oil and gas industry in southeast Saskatchewan, Canada, could be attributable to  managers’ safety-specific transformational leadership behaviors at the workplace. 


This successful quantitative simple linear regression study was uniquely designed to measure  employee safety performance using employees perceived overall job satisfaction. This approach of  measuring employee safety performance with employee’s perceived overall job satisfaction is new and  alternative in southeast Saskatchewan, Canada's oil and gas industry. This research contributes to the  literature associated with workplace safety and advances theoretical knowledge on safety-specific  transformational leadership, employee safety performance, and employee-perceived overall job  satisfaction. Thus, by promoting safety-specific transformational leadership styles or behaviors, the oil  and gas industry in southeast Saskatchewan could significantly improve and grow employee safety  performance in the oil and gas industry in southeast Saskatchewan, Canada. 


Recommendations and Conclusions 

This section discusses the recommendations and the theoretical and practical implications of this  research’s findings. 


Theoretical Implications 

The simple linear regression data analysis revealed a significant statistical relationship between  safety-specific transformational leadership behaviors (independent variable) and employee safety  performance (dependent variable) measured with employees’ overall job satisfaction. The following are  the theoretical implications of this research.  


1. Managers' safety-specific transformational leadership scores could predict employee safety  performance in southeast Saskatchewan, Canada's oil and gas industry. Additionally, this research  established the significant relationship between safety-specific transformational leadership and  employee overall job satisfaction.  


2. This research calculated the curve estimation, especially logarithmic, inverse, quadratic, cubic, scurve, and exponential regressions. We noticed that the curve estimation and linear regression  findings in this research’s context were statistically closer or similar.  


3. This research’s data represented individual or group levels more than organizational levels.  Nevertheless, this research’s findings supported the findings of Hasan et al. (2021), Lu et al.  (2019), Zhao et al. (2022), and Zulkifly et al. (2021) that safety-specific leadership or safety  leadership could have a (higher) impact on employee safety participation, employee safety  performance, or workplace safety performance.  


4. This research contributed a definition of employee safety performance by building upon  Campbell et al.'s definition of employee performance (1993).  


5. Yukl et al. (2022) stated that “most of the studies did not examine curvilinear relationships” (p.  417). Still, this research made a brief scholarly effort to understand the impact of safety-specific  transformational leadership behaviors on employee’s perceived overall job satisfaction or  performance by performing “curve estimation” in the data analysis process. 


Implications for Professional Practice 

This research’s research data came from various high-risk business organizations. Thus, with a  medium to larger effect size, higher Cronbach’s alpha values of survey instruments, and significantly  higher confidence level in the statistical test results of this research, we posit that this research’s findings  have broad implications and applications and have wider generalizability for professional practice in the  real business world. This research’s findings encourage promoting more safety-specific transformational  leadership behaviors for improved workplace safety, especially employees’ safety performance and  overall job satisfaction, not only in the oil and gas industry in southeast Saskatchewan but also in other  high-risk industries, such as construction, welding, trucking, ground transportation of controlled product  or chemicals, hydro-facing, equipment maintenance, and steaming. By proactively educating leaders,  managers, and supervisors about the significance of safety-specific transformational leadership, business  organizations are prepared for workplace safety emergencies and to reduce workplace safety incidents or  tragedies. This research also posits that other high-risk not-for-profit business organizations or  governmental agencies can benefit from this research’s findings. Also, this research suggests that more  safety-specific transformational leadership means less burden to the healthcare system, fewer lost-time  injury claims, fewer workplace fatalities, and less economic burden to compensate for workplace injuries  or incidents to workers. More importantly, when business organizations in the oil and gas industry in  southeast Saskatchewan take sincere initiatives to improve employees’ safety performance or perceived  job satisfaction, such an approach not only helps business organizations to obtain their mission, vision,  and values but also assures the families waiting for the safe return of their loved ones from the job sites at  the end of every day. 


Recommendations for future research 

A further causal-comparative study can be done to assess the differences in the impact of safety specific transformational leadership behaviors on employees’ safety performance based on various age  groups or generations, genders, levels of education, salary, work shifts or schedules, and work-family  conflicts in southeast Saskatchewan, Canada’s oil and gas industry and other similar high-risk industries  by using a convenience or random sampling method. Future research can replicate this research in  different geographical regions or countries and populations from southeast Saskatchewan’s oil and gas  industry to validate the broader application and generalizability of this research’s findings in other  geographical regions, territories, or provinces or countries. A further correlational study can be done  using other credible employee safety performance and safety-specific transformational leadership surveys  used in this research to evaluate the strength of the relationship between the variables in other high-risk  industries. Finally, future researchers can design this research around qualitative research, triangulate the  internal safety data associated with employee safety performance and safety-specific transformational  leadership behaviors, and explore and validate the findings of this research in high-risk industries,  including the oil and gas industry.   


Recommendations for practice 

This research makes five significant recommendations for practice. These five recommendations,  addressed to multiple stakeholders, help ensure a safer industry, a more safety-conscious workplace  environment, safer communities, and a better quality of life for the family members who depend on the  employees’ health and safety.  


1. This research recommends that practitioners and business organizations in southeast Canada’s oil  and gas industry embrace and promote more safety-specific transformational leadership behaviors  to improve workplace safety and employees’ safety performance and achieve ever-growing  employee safety performance or overall job satisfaction.  


2. This research recommends that the regional, provincial, and federal governments introduce  legislation recognizing safety professionals or safety leaders as stakeholders in the internal  workplace system.  


3. This research recommends that the Occupational Health and Safety Legislation or the  Employment Act direct (high-risk) business organizations to train their managers, supervisors,  and internal safety personnel or professionals on more safety-specific transformational leadership  styles, behaviors, or skill sets.  


4. This research recommends that practitioners support the provincial and federal governments in  implementing the new legislation mentioned above by revisiting their traditional workplace safety  management system. The practitioners: academia, safety professionals, safety associations, safety  training providers, business leaders, and managers can play active roles in developing and  facilitating employee training on safety-specific transformational leadership to grow more safetyspecific leaders in the oil and gas industry. 


5. In oil and gas or similar high-risk industries, business organizations and managers craft, develop and execute more practical, measurable, and attainable safety goals. This research recommends  that safety associations, industries, and business organizations promote safety slogans or safety  goals, encouraging the honest reporting of workplace incidents, injuries, and safety-related  events, such as safety audits, to employees or contractors.  


Concluding Remarks 

Workplace safety should be a shared business responsibility of all internal stakeholders, including  managers and employees. Business leaders and managers should provide clear missions, visions, values,  or short-term and long-term directions associated with shared objectives of workplace safety and  employee safety performance while making a business effort to generate value for multiple stakeholders.  Employees with more effective leadership styles feel inspired or more motivated to exert their best efforts  to create higher employee safety performance. Through this research, we essentially made an academic  effort to research what leadership styles would be the most effective or appropriate to cultivate and grow  employee safety performance in the oil and gas industry in southeast Saskatchewan, Canada. There are  three main takeaways from this research for enthusiastic readers in academia and practitioners of  workplace safety: safety leadership, job satisfaction, and employee safety.  


First, business leaders, managers, policymakers, associations, and professionals associated with  workplace safety have vital roles in creating a safer workplace and a more safety-conscious industry by  promoting more safety-specific transformational leadership behaviors. These behaviors predictably help  improve workplace safety, employee safety performance, and overall job satisfaction. 


Second, this research demonstrated academically that workplace safety, especially employee  safety performance, could be alternatively assessed with employee's perceived overall job satisfaction  effectively. Therefore, this research encourages business leaders, policymakers, safety associations,  business managers, and professionals in workplace safety to employ and promote this new approach of  assessing or measuring employee safety performance with employees’ (overall) job satisfaction.  Employees or followers also need to play proactive roles in attaining higher safety performance by  reporting workplace job satisfaction honestly and encouraging coworkers to do so.  


Third, we posit that business organizations and leaders benefit by welcoming the presence of  shareholders and investors to safety-specific corporate-level meetings or activities. Such opportunities  offer investors the opportunity to understand the values of workplace safety and safety-specific  transformational leaders’ roles in employee safety performance. Moreover, such business initiatives on  workplace safety, safety performance, job satisfaction, and safety-specific leadership behaviors benefit  today’s stakeholders tremendously and help create a safer and more joyful place of employment for the  generations of stakeholders yet to come. 


Authors:

Dr. Arjun Kathayat, Columbia Southern University  

Dr. Jodine Burchell, Columbia Southern University https://orcid.org/0000-0003-4927-5489 


To correspond with the first author:  Tel: (1)306.453.0077. Cell: (1)306.575.8019, 

E: rjnkathayat@hotmail.com, ohnscentre@gmail.com 


*This research was presented at the 2024 CCGA Symposium, Regina, Saskatchewan, Canada on  November 5, 2024.   


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