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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026
Relationship Between Leadership Styles and Employee Productivity
in the Manufacturing Sector in Malawi: A Case of Candlex Limited
Madalitso Desdrater Banda
1*
, Thom-Raphael Bwanali
2
Malawi School of Government, Kanengo Campus, Lilongwe, Malawi
*Corresponding Author
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.15020000085
Received: 16 February 2026; Accepted: 21 February 2026; Published: 19 March 2026
ABSTRACT
Leadership is the process of influencing the activities of an individual or a group towards attaining a specific set
of goals. This influence can either be negative or positive depending on the leadership style adopted. This study
established the relationship between leadership styles and employee productivity in the manufacturing sector in
Malawi, Southern Africa. It used a mixed method approach that included data collected from questionnaires and
interviews along with statistical testing using the Spearman’s rank correlation in SPSS. Results showed that in
the Malawian manufacturing sector, based on employee perceptions, the most prevalent leadership style was the
autocratic leadership style and the least prevalent was the Laissez-Faire leadership style. The democratic
leadership was considered the most effective style for enhancing productivity, however, only the persuasive
leadership style had a positive significant correlation with employee productivity (r
s
= 0.554, p < 0.01). It is
recommended that organisations should formulate leadership policies that mix leadership styles such as
democratic and persuasive leadership to enhance employee productivity.
Keywords: Leadership Styles, Employee Productivity, Manufacturing Sector, Mixed Methods, Malawi,
Southern Africa
INTRODUCTION
Over the years, various scholars have studied the concept of leadership with the aim of understanding and
improving the inherent benefits of effective leadership, as such several definitions of leadership have emerged.
Although the general consensus over time has been that leadership is a difficult concept to define (Winston and
Patterson, 2006), however, more recent definitions describe it as “the ability to influence people to willingly
follow one’s guidance or adhere to one’s decisions(Rue and Byars, 2017) and “the process of influencing the
activities of an individual or a group towards attainment of a common goal or a set of goals(Northouse, 2018).
There are numerous leaderships styles that exist in workplaces such as persuasive, laissez-faire, autocratic and
democratic leadership; they are assumed to have a significant impact on the productivity of employees in an
organization. Productivity is directly influenced by labour performance (specifically human labour) which is a
key resource in any organization. Effective leadership styles in the workplace have been linked to increased
productivity and labour performance along with good individual and group behaviour Leadership is a major
element that determines the success of an organizations and/or government as it offers direction and purpose
towards achieving the goals of the organization (Beyene et al., 2016).
The purpose of the study was to examine the relationship between leadership styles and employee productivity
in the manufacturing sector in Malawi, using Candlex Limited as a case study. Specifically, to determine if there
is a correlation (either negative or positive) between leadership styles and employee productivity. Related studies
in this region have not yet examined how leadership styles influence employee and organizational performance
especially in the manufacturing sector. Candlex Limited is a growing, aggressive, and leading manufacturer and
marketer of quality home and personal care products (i.e., laundry powder, bathing soaps and cosmetics) that are
distributed through independent shops, retail and wholesale chains scattered across Malawi. This manufacturing
company has been functioning in Malawi for over 30 years and has significantly contributed to Malawi’s
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economic development and employment creation. Recently Candlex Limited has highlighted that low employee
productivity has become a major problem that is due to the application of leadership styles that are not suitable
for certain situations/challenges within the organization This has also impacted production targets (creating large
financial gaps), employee retention and motivation (Chikhambi and Mafeni, personal communication).
Nowadays, due to major transformation and innovation in the manufacturing sector, concerns regarding
appropriate leadership styles (that are aligned with these changes) have been brought forward (Bass et al., 2003).
Especially finding effective leadership styles that optimize productivity in all spheres (government, public and
private) (Ogbonna and Harris, 2021). According to Bass et al. (2003), positive leadership influences productivity
in both the workers and the organization. It is therefore imperative to choose the best and most experienced
leaders for management positions; who can apply different leadership styles based on the situation/challenge.
An effective leadership style improves employee retention, motivation, and productivity and thus, our study will
contribute to theory and practice of leadership in organizations and public policies. It will also recommend a
leadership framework for improving employee productivity in the manufacturing sector in Malawi which will
be used by students, researchers, academic scholars, managers/ leaders, employees and Malawi government
authorities. The Malawi Government has recently expressed “the desire and resolve to be an inclusively wealthy
and self-reliant industrialized upper-middle-income country by the year 2063” (Government of Malawi, 2020,
p.11) and has recognised manufacturing along with visionary and transformative leadership as key components
towards the attainment of Malawi’s Vision 2063 (Government of Malawi, 2020). Therefore, this study will make
a significant contribution towards the advancement of knowledge to help the country’s goal and vision.
The main aim of this study was to establish the relationship between leadership style and employeesproductivity
in the manufacturing sector in Malawi through a) investigating the prevalent leadership styles b) determining
effective leadership styles on productivity based on employee rating and c) assess the relationship between
leadership styles and employee productivity. The study will be guided by the following questions pertaining to
the manufacturing sector in Malawi:
1. What is the prevalent leadership styles?
2. What is the employeesrating of effective leadership styles on employee productivity?
3. What is the relationship between leadership style and employee productivity?
METHODOLOGY
Research Philosophy, Approach and Methodological Choice
This study used the research onion framework which explains pictorially the various aspects of the research to
be examined through providing steps to formulate a research design and methodology (Saunders et al., 2019).
This study also used ontological assumptions, or nature of realityfaced in research because assumptions are
inevitable as a researcher (Burrell and Morgan, 2019). Additionally, the pragmatism philosophy was used to
incorporate both qualitative and quantitative elements of the study. In this instance, the researcher is an objective
analyst of the external world; the end-product of research are law-like generalization (Saunders et al., 2019).
There are 3 types of research approaches namely, deduction, induction, and abduction approach (Creswell and
Creswell, 2017) and this study used the abduction approach. This combines qualitative and quantitative
approaches to determine the relationship between the dependent variable productivityand the independent
variables “leadership styles”. A mixed methods approach (using two or more methods of research mainly
qualitative and quantitative methods) was also used.
Research Strategy and Time Horizon
The research strategy used in the study was the survey method which is done using questionnaires or structured
interviews (Schwedt, 2007). This study also used the cross-sectional time horizon which is a short-term study
involving collection of data at a specific point of time. Data was collected in September 2022 (1 month) and the
time horizon for the study was from August to October 2022.
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Study Location
The study was conducted at the Candlex Regional Office in Makata Industrial area Blantyre, Malawi. This
organization was selected because it was in convenient and easily accessible for data collection (close to the
respondents) within a specified time frame. Candlex has also been reported as a growing, aggressive, and leading
manufacturer and marketer of home and personal care solutions that has a long history (over 30 years) of
delivering good quality products. Candlex contributes significantly to Malawis economic development by
adding value and creating employment and was therefore ideal for this study.
Study Design
The target population for this study at Candlex included members of staff (both male and female) at different
levels (junior and senior) in the production management unit, accountants, senior management, auxiliary staff
members and administrators (clerks). They were targeted based on their capacity to provide relevant information
concerning leadership styles. Furthermore, convenience sampling was applied on senior management and
these respondents in leadership roles were contacted telephonically at the researchers discretion.
Sample Size
A sample size is a subset/sampling unit, or a group chosen from a larger population with the aim of yielding
information about the population. According to literature, a good sample size needs to be representative and of
adequate or sufficient size to allow for confidence in the stability of its characteristics. For this study, the sample
size was determined using the Yamane (1967) formula which is as follows:
𝑁
𝑆𝑎𝑚𝑝𝑙𝑒 𝑠𝑖𝑧𝑒 (𝑛) = 1 + 𝑁𝑒
2
Where N is the population of the study and 𝑒 is the level of significance or margin of error. The researcher
considered 10% as the margin of error and 90% confidence level. Candlex Limited has 82 employees that are
based at Makata Industrial area which were used as the population size (N). The sample size was calculated as
45.
𝑆𝑎𝑚𝑝𝑙𝑒 𝑠𝑖𝑧𝑒 =
𝑆𝑎𝑚𝑝𝑙𝑒 𝑠𝑖𝑧𝑒 = = 45
Data Collection
Data collection was done using structured questionnaires which are reliable, easy and inexpensive research
instruments that consists of a group of questions designated to elicit information from an informant to a
respondent (Schwedt, 2007). Questionnaires were distributed to the staff of Candlex Limited to gather
information related to the specific objectives of this study. Other documents (books, journal articles, dissertations
etc.) were reviewed to obtain further required information and data as part of the “quantitative analysisaspect
of this study. We used a leadership style scale that was adopted from Bass and Avolio (1990) with five-point
scale answers and ratings ranging from a minimum of 1.0 (strongly disagree) to a maximum of 5.0 (strongly
agree). The employee productivity scale (adopted from Yousef, 2000) was used and employees rated their own
productivity from a scale of 1 (very low) to 5 (very high).
Data Analysis
After collection, the data was analyzed descriptively using tables, figures, graphs, diagrams and percentages. A
Spearman’s rank correlation was done using the Statistical Package for Social Sciences (SPSS) which is used to
measure the strength of the relationship between two variables and to compute their association. Basically, a
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correlation analysis calculates the level of change in one variable due to the change in the other (Duckett and
Macfarlane, 2003). A Spearman’s rank correlation (denoted as rs) is used to evaluate relationships involving
ordinal variable correlations, specifically when two variables have been ranked and “causation needs to be
established (i.e. the increase in one variable resulting in an increase/decrease in the other variable). In this study,
a Spearman’s rank correlation was used to assess the association between leadership styles and employee
productivity. The sign of the correlation coefficient indicates the relationship between the variables, while its
magnitude indicates the strength of the relationship (Table 1). Spearman's correlation coefficients range from -1
to +1 and the sign of the coefficient indicates whether it is a positive or negative monotonic relationship. To
determine multicollinearity, the variance inflation factor values were checked. Multicollinearity happens when
more than to predictor or independent variables have a high correlation between them which makes it hard to
know the individual influence of the variable/predictor on the dependent variable. The VIF is the proportion of
variance (R
2
) of the regression minus 1 and this measures how much the variance of a regression coefficient is
inflated due to multicollinearity. A VIF value of 1 means there’s no multicollinearity while a >10 indicates very
high multicollinearity (Allison, 1999; Hair et al., 2010).
Table 1: Correlation coefficients and strength
Correlation Coefficient
Correlation Strength
0.1 – 0.3
Weak correlation
0.3 – 0.5
Moderate correlation
0.5 – 1
Strong correlation
Validity, Reliability, and Ethical Considerations
The questionnaire was subjected to a rigorous validity test which refers to the extent to which an empirical
measure adequately reflects the real meaning of the concept under consideration (Babbie and Rubin, 1989). As
such, the questionnaire was tested for credibility, transferability, and dependability (Lincoln and Guba, 2011).
We used Cronbach’s alpha (α) as a reliability coefficient for the reported scales to determine how consistently
each of the parameters on the scale were measuring the same underlying construct (Cronbach, 1951). The
coefficient ranges from 0 to 1 and values that are closer to 1 show that the parameters are consistently measuring
the same thing while a value closer to 0 shows that there is large variability in measuring the underlying
parameter. In our study, the internal consistency of the leadership style and the productivity scales were
determined using Cronbach’s alpha. The Cronbach’s alpha reliability coefficient was α = 0.53 for the prevalent
leadership style scale and this indicated a poor internal consistency (Nunnally and Bernstein, 1994). This means
that the questions in the survey may not be measuring the same underlying construct. The reliability coefficient
for the employee productivity scale was calculated as α = 0.69 which is considered moderate (Nunnally and
Bernstein, 1994). The reliability coefficients may have been low because some questions were irrelevant and our
sample size was relatively small therefore this weakened the scale.
Before the research was conducted, some preliminary steps were taken to ensure that ethical measures were
followed. These included letters of consent for the research to be conducted and support from the university
which granted the researcher permission to distribute questionnaires and collect data for academic purposes. The
anonymity and confidentiality of each participant was observed, and questions and research findings were devoid
of any biases in either language, words, gender, sexual orientation, race or ethnic group, disability, or age. Some
research constraints included time, finance (printing, internet bundles, travel expenses) and technical constraints
(network failures). A summary of the research methodology is found in Table 2.
Table 2: Research Methodology Summary
Item
Details
Research Type
Descriptive, Correlation Research
Time Horizon
Cross-sectional study design (August 2022-October 2022)
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Research Strategy & Methodology
Survey Strategy (structured questionnaires adopted from other studies),
Mixed Methods (both qualitative and quantitative).
Sampling Technique & Sample
Size
Convenience Sampling, 45 respondents from a population of 82 staff
members at Candlex.
Data Analysis
Demographic Profile Descriptive Analysis Spearman’s Rank
Correlation in SPSS
RESULTS
Response Rate and Demographic Characteristics
From the initial sample size of 82 respondents, 45 completed and returned the questionnaires which equated to
a 55% response rate. Adequate response rates have been reported as 40% and 50% respectively for descriptive
studies (Creswell, 2003; Mugenda and Mugenda, 2003). Demographic characteristics included gender, age, and
educational level (Table 3). Firstly, in terms of gender, 64.4% constituted of male respondents while 35.6%
comprised of female respondents. This was mainly because the majority of the staff at Candlex Limited are male
thus making the respondents mostly males. In terms of age, most of the respondents (69%) were in the age range
of 40-45 years and this was followed by the age range of 25–30 years (11%). Additionally, 79% of the
respondents had secondary school education, while 20% obtained bachelor’s and 9% had a postgraduate degree
(Masters). The findings indicated that most of the respondents had worked between 5 and 10 years, 24.4% had
worked for 10–15 years and 26.7% had worked for 0– 5 years (Table 3).
Table 3: The respondentsdemographic profiles (n = 45)
Demographic Variables
Description
Percentage (%)
Age (Years)
<25
9
25-30
11
31-35
2
41- 45
69
>46
9
Gender
Male
64.4
Female
35.6
Level of Education
High School (MSCE)
71
Bachelor
20
Masters
9
Period of Employment (Years)
0-5
26.7
5-10
48.9
10-15
24.4
Prevalent Leadership Styles and the Influence of Leadership Style on Productivity.
The first specific objective of the study was to investigate the prevalent types of leadership styles being used in
the manufacturing sector in Malawi. Figure 1 showed that respondents perceived autocratic leadership as the
most prevalent (25 respondents) and Laissez-Faire leadership was the least prevalent (2 respondents). The second
objective of the study was to assess how leadership styles influence employee productivity based on ratings by
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the employees using a productivity scale (1-5). Democratic leadership was rated as the most effective on their
own productivity (3.63) while autocratic leadership was rated as the least effective (2.44) (Figure 2).
The third objective was to determine the relationship between leadership styles and productivity using the
Spearman’s Rank Correlation analysis. Results of the Spearman’s Rank Correlation (Table 4) showed that only
the persuasive leadership style had a positive and strong correlation with employee productivity in the
manufacturing sector (r
s
= 0.554, p < 0.01). An increase in the use of persuasive leadership style results in a
strongly positive change in employee productivity levels.
There was a positive, significant but moderate correlation between democratic leadership style and employees
productivity in the manufacturing sector (r
s
= 0.304, p < 0.05) (Table 4). Both autocratic and laissez-faire
leadership styles had a weak, correlation with productivity. The results also showed a very strong positive
correlation (r = 0.955, p<0.01) between Laissez-faire and democratic leadership styles which may be indicative
of potential multicollinearity between these two leadership styles. Due to this, multicollinearity, diagnostics were
done using the Variance Inflation Factor (VIF).
Results showed that democratic and Laissez-faire leadership styles had very high VIF values (> 11) and this was
due to a high correlation of r = 0.955. Autocratic and persuasive leadership styles had VIF values that were
around 1 thereby suggesting that multicollinearity was not an issue for those variables (Table 5).
Figure 1: Graph showing the prevalent leadership styles in the manufacturing sector in
Malawi based on distribution/respondent scores.
2.44
3.63
3.25
2.64
-
1.00
2.00
3.00
4.00
AUTOCRATIC DEMOCRATIC LAISSEZFAIRE PERSUASIVE
Productivity
Employee ratings of how Leadership Styles influence their own
Productivity
AUTOCRATIC
DEMOCRATIC
LAISSEZFAIRE
PERSUASIVE
Figure 2: Graph showing how employees rated the influence of leadership style on their own
productivity
.
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Table 4: Spearman’s Rank Correlation Analysis results (** p<0.01 (2-tailed; *p<0.05; n=45).
Variable
1
2
3
4
5
1
EmployeesProductivity
1
2
Autocratic
0.236
1
3
Democratic
0.304*
-.627**
1
4
Persuasive
0.554**
0.278
-0.09
1
5
Laissez-faire
0.285
-.616**
.955**
-0.085
1
Table 5: Results of the Multicollinearity Test.
Predictor Variable
VIF
Autocratic
1.8
Democratic
11.7
Persuasive
1.0
Laissez-faire
11.3
DISCUSSION
Prevalent Leadership Styles used in the Manufacturing Sector in Malawi
The first objective of this study was to identify the types of leadership styles that are most prevalent in the
manufacturing sector in Malawi using Candlex Limited as a case study example. The autocratic leadership style
was ranked as the most prevalent and laissez-faire as the least prevalent. Based on these results, we assumed that
most manufacturing companies in Malawi prefer autocratic leadership; where the leader/ manager controls all
the decisions with minimal input from employees.
However, this leadership style is disliked by employees as it has been shown to increase job stress (Harms et al.,
2018). Also, autocratic leaders often make decisions independently without consulting employees, this often
leads to a disconnect between leader and employee (Jaafar and Zambi, 2021). In contrast to our findings, other
studies worldwide have observed that democratic leadership was the most dominant in the manufacturing sector.
This is based on the notion that democratic leaders value teamwork and encourage employees to share opinions
and ideas that foster creativity and overall engagement (Amiscua et al., 2018).
Furthermore, the democratic leadership style is usually the most prevalent in organizations as it is more
employee-centered (Setiawan et al., 2021). The prevalence of the autocratic leadership style in the
manufacturing sector in Malawi may imply that most employees are possibly excluded from decision-making
and cannot openly express their opinions and emotions. This has negative consequences not only on productivity,
but also on other workplace dynamics such as conflict resolution, employee involvement, self-confidence and
overall quality of work. Employees that are not trusted with important decisions and tasks may question the
value they bring to this sector (Harms et al., 2018).
The Influence of Leadership Style on Productivity
The second objective was to determine the leadership style that employees perceived to influence their own
productivity the most. The third objective was to assess the relationship between leadership styles and
productivity using the Spearman’s Rank Correlation. Studies have suggested that businesses in the
manufacturing sector should focus on selecting leadership styles based on their correlation with productivity.
This is fundamental for creating pleasant work environments that maximize employee productivity and supports
overall economic growth in countries (Suprayitno, 2024).
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Democratic Leadership
Democratic leadership was ranked as the style that employees perceived to have the most influence on their
productivity (based on the productivity ratings). It also had a positive moderate correlation with productivity
based on the Spearman’s Rank. This implied that it is a suitable leadership style for employees in the industry
even though our earlier findings showed that it is amongst the least prevalent styles. Democratic leadership has
been linked to better cohesion amongst employees; where everyone is free to express themselves and is
sometimes linked to quick and easy resolution of complex issues (Shanmugam et al., 2020). Other studies which
showed a positive correlation between employee productivity and democratic leadership included and Bhargavi
and Yaseen (2016) and Oussible and Tinaztepe (2022).
Persuasive Leadership
The persuasive leadership style had the highest, positive and significant relationship with productivity.
Persuasive leadership is highly correlated with productivity which can influence employee behaviors and
encourage mindset shifts. A persuasive leader is strong and has centralized control (makes decisions for the
business) however, they are also open to employee opinions and emotions. Iman and Lestari (2019) suggested
that companies should consider implementing the persuasive leadership style as it not only improves employee
productivity, but it is also the most trusted style by employees.
Autocratic Leadership
An interesting observation from our study was that autocratic leadership had the lowest productivity rating by
employees and had a weak correlation with productivity despite it being the most prevalent style in the sector .
However, this is in line with Setiawan et al., (2021) who also found that autocratic leadership had either no effect
and/or a negative effect on employee efficiency. Autocratic leaders are often associated with controlling and/or
forcing employees into productivity using a lot of incentives and rewards (Gastil, 1994). Similarly, a study done
in the Chinese manufacturing industry concluded that autocratic leadership resulted in decreased company
performance (Wei and Vasudevan, 2022). Additionally, Peker et al. (2018) noted that autocratic leadership
discourages innovation and providing solutions for problems and thus should be avoided to improve company
performance. Moreover, a study that was done in Gomal University in Pakistan also showed that autocratic
leadership had the least impact on employee output, effectiveness and success in the manufacturing sector (Khan
et al., 2023).
Laissez-faire Leadership Style
This leadership style was the least prevalent in the manufacturing industry in Malawi, was rated as ineffective
on productivity (by employees) and was not correlated with productivity (based on the Spearman’s Rank
Correlation). Laissez-faire leaders often fail to guide employees and do not believe in a punishment and/or
reward system (Smajlović et al., 2019). The relationship between laissez-faire leadership and company
productivity was rejected in a study done in the manufacturing sector in China. They concluded that when the
laissez-faire leadership style is applied then the company performance declines (Wei and Vasudevan, 2022). This
is mainly because laissez-faire leaders are often viewed as inefficient, unserious and relaxed therefore
employees underperform and fail to achieve their work goals and targets. This leadership style can be successful
in some instances where employees have a clear understanding of their tasks and how to execute them with
minimal input and there is trust between employees and leaders (Jony et al., 2019; Hurd, 2020).
The laissez-faire leadership style has become more prevalent after the COVID-19 pandemic which increased
remote and hybrid work options (Noor, 2021). Virtual work has been associated with more people adopting this
leadership style as employees prefer to work more independently and “freely”. The pandemic changed the way
businesses operate, prevalent leadership styles and how employees view the relationship between work and well-
being (i.e. work life-balance) (Desgourdes et al., 2023). Laissez-faire leadership has been shown to be the least
favourable leadership style in the industrial sector generally and is associated with employees who are less
engaged in their work and do not reach their goals as shown in as study done in Indonesia (Xuefeng, 2023).
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In Malawi, this style of leadership is the least practiced in the manufacturing firms as management fears that it
gives employees too much freedom without supervision which may lead to confusion, indecision, decreased
motivation when executing tasks and ultimately low productivity and under used potential. A suggestion is that
industrial companies must incorporate strategies that include empowered leadership and psychological
empowerment practices that result in innovation, better motivation, goal attainment and commitment to the
organization (Turcotte‐Légaré et al., 2023; Suprayitno, 2024).
Study Limitations
The first limitation of this study is that the sample size may have been small and whether the Yamane (1967)
formula was inappropriate for determining it. The Yamane formula is most suitable for simple random sampling
and may not be appropriate for small populations. In our study the population consisted of only 82 employees
so using this formula reduced the sample size even further. Additionally, the study population was heterogeneous
(different age groups, gender, education levels) while the formula assumes population homogeneity, therefore ,
a stratified sampling and the use of a different formula that takes into account variability in the population would
have been more suitable.
Furthermore, normally the Yamane formula uses a smaller margin of error (5%) at 95% confidence level but we
chose to use 0.1 (for 10% margin of error) at 90% confidence level which resulted in an even smaller sample
size which made it less precise and increased the margin of error. Perhaps a better approach would have been to
survey all the 82 employees in the organisation as a population census and using a different or more robust
formula to the Yamane as our population did not fully meet the assumptions to calculate a subsample making it
less precise. For populations that are small, a census is more statistically correct and removes sampling bias (is
more generalized). One of our major constraints with a census was limited accessibility to the entire population
as well as capacity and time constraints. Therefore, our study should be interpreted as one that shows patterns in
a study population and not as a precise estimate. In future these limitations can be addressed by using a larger
sample size that includes employees from multiple manufacturers and a apply a different formula where most of
the assumptions are met.
Another limitation to this study is the high correlation between democratic and laissez-faire leadership style.
This relationship was then confirmed by high VIF values (> 10) that indicated multicollinearity. We chose to
keep both these variables in this study even though they had a significant overlap because they are both
important. Employees deemed them important determinants of their own productivity so they could not be
excluded from the analysis. Not including either style would make the interpretation of the results difficult as
they form an important part of the theory. We do acknowledge that high multicollinearity increases the standard
errors and makes the regression coefficients less precise and we suggest that the individual effects of democratic
and laissez faire leadership styles be considered separately and interpreted carefully. In future, this issue can be
refined by using a bigger sample size and using other analysis to refine issues of multicollinearity between
leadership styles.
CONCLUSIONS AND RECOMMENDATIONS
This study therefore contributed to expanding the body of knowledge on prevalent leadership styles and their
relationship with the productivity of workers in manufacturing sector (based on employee perceptions and
statistical testing). We showed that autocratic leadership was the most prevalent leadership style and Laissez-
Faire was the least prevalent.
Our findings can help recommend a leadership framework that can improve employee productivity based on the
selection of the most suitable leadership style(s). Through the established framework, the study contributed to
the theory and practice of leadership in organisations and public policy. It also aimed to close the existing gap in
current literature by providing a local case study example from the Southern African region and also compared
findings to relevant international studies. The study’s first contribution to the theory of leadership is that only
democratic and persuasive leadership styles had a statistically significant and positive correlation with
employeesproductivity in the manufacturing sector in Malawi. Democratic leadership also influenced employee
productivity based on the employee productivity scale. Autocratic and laissez-faire leadership styles showed no
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significant correlation with employee productivity. Autocratic leadership may not be correlated with employee
productivity as these leaders prefer to make decisions alone and often chose to assign tasks to subordinates
without any prior consultation (tasks and methods are imposed on members). Additionally, there is little
communication between the leader and the employees resulting in tension, fear and resentment between the two
parties.
Results of the study are also relevant to practice of leadership in organizations and suggested that leaders in the
manufacturing industry should make use of a combination of leadership styles for better management. From the
findings in this study, it can be concluded that supervisors who intend to derive the best out of their employees
should try and exhibit characteristics related to mainly democratic and persuasive leadership styles. The se
findings were also relevant to public policy in Malawi, especially the realisation of policy goals set by the
Government of Malawi in the Malawi Vision 2063 (Government of Malawi, 2020). The country “desires and
resolves to be an inclusively wealthy and self-reliant
industrialized upper-middle-income country by the year 2063” (Government of Malawi, 2020, p.11). The
Government of Malawi recognises that manufacturing and visionary, transformative leadership as key enablers
to attainment of Malawi Vision 2063 (Government of Malawi, 2020). Therefore, on one hand, through
manufacturing, Malawi desires to have a “vibrant knowledge-based economy with a strong manufacturing
industry driven by productive and commercially vibrant agriculture and mining sectors (Government of Malawi,
2020). On the other hand, visionary and transformative leadership is important in championing mind-set changes
(Government of Malawi, 2020, p.17). The study established that democratic and persuasive leadership styles
have a statistically significant and positive correlation with employeesproductivity in the manufacturing sector
in Malawi which is a significant finding for policymakers, capacity building and improved productivity.
Therefore, the research on relationship between leadership styles and employees productivity is significant for
the attainment of Malawi Vision 2063 as it will help the manufacturing sector in Malawi become vibrant and
effective.
REFERENCES
1. Adiguzel, Z. & Cakir, M. (2021). Examining the effects of moral leadership on employees in the
manufacturing sector. Elektronik Sosyal Bilimler Dergisi, 20(77), 168-187.
2. Allison, P. D. (1999). Multiple regression: A primer. Thousand Oaks, CA: Pine Forge Press.
3. Amiscua, M., Fernandez, M., Madanging, J. & Querido, J. (2018). The Impact of Leadership Styles on
Employees' Productivity: A Qualitative Study of Employees' Experiences of Motivation in the Workplace.
Available at: https://www.researchgate.net/requests/attachment/52212945 (Accessed 29/12/18).
4. Ansari, M.A. (1990). Leader behavior and organizational effectiveness: The moderating effect of
organizational climate. Organizational research in Indian perspective, 9-35.
5. Auren, U. (2018). Techniques of Leadership. New York: McGraw Hill.
6. Babbie, E. & Rubin, A. (1989). Research Methods for Social Work. California: Wadsworth.
7. Bass, B. M. (1985). Leadership and performance beyond expectations. Free Press.
8. Bass, B. M. (1990). Bass & Stogdill’s handbook of leadership: Theory, research, and managerial
applications. The Free Press google schola, 2, 173-184.
9. Bass, B.M. and Avolio, B.J. (1990). Transformational leadership development: Manual for the multifactor
leadership questionnaire. Consulting Psychologists Press.
10. Bass, B.M., Avolio, B.J., Jung, D.I. & Berson, Y. (2003). Predicting unit performance by assessing
transformational and transactional leadership. Journal of applied psychology, 88(2), 207.
11. Beyene, K.T., Shi, C.S. & Wu, W.W. (2016). Linking culture, organizational learning orientation and
product innovation performance: The case of Ethiopian manufacturing firms. South African Journal of
Industrial Engineering, 27(1), 88-101.
12. Bhargavi, S. & Yaseen, A. (2016). Leadership styles and organizational performance. Strategic
Management Quarterly, 4(1), 87-117.
13. Burrell, G. & Morgan, G. (2019). Sociological paradigms and organisational analysis: Elements of the
sociology of corporate life. Routledge.
14. Chemers, M.M. (1997). An Integrative Theory of Leadership. Mahwah, NJ: Lawrence Erlbaum Associates.
Page 969
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026
15. Cole, G.A. (2005). Organizational Behavior. Nottingham: TJ International.
16. Creswell, J. W. & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods
approaches. Sage publications.
17. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–
334.
18. Desgourdes, C., Hasnaoui, J., Umar, M. & Feliu, J.G. (2024). Decoding laissez-faire leadership: an indepth
study on its influence over employee autonomy and well-being at work. International Entrepreneurship
and Management Journal, 20(2), 1047-1065.
19. Duckett, H. & Macfarlane, E. (2003). Emotional intelligence and transformational leadership in retailing.
Leadership & Organization Development Journal, 24(6), 309-317.
20. Edward, F.T. (2007). The discourse of leadership and the practice of administration. Journal of Applied
Christian Leadership, 2(1), 32-53.
21. Fiedler, F.E. (1972). How do you make leaders more effective? New answers to an old puzzle.
Organizational Dynamics, 1(2), 3-18.
22. Fleishman, E.A. (1957). A leader behavior description for industry. Leader behavior: Its description and
measurement, 103, 10-119.
23. Gastil, J. (1994). A meta-analytic review of the productivity and satisfaction of democratic and autocratic
leadership. Small Group Research, 25(3), 384-410.
24. Gordon, G. E., & Rosen, N. (1981). Critical factors in leadership succession. Organizational Behavior and
Human Performance, 27(2), 227-254.
25. Government of Malawi (2020). Malawi Vision 2063: An inclusively wealthy and self-reliant nation.
National Planning Commission, Lilongwe, Malawi.
26. Griffin, M. A., & Mathieu, J. E. (1997). Modeling organizational processes across hierarchical levels:
climate, leadership, and group process in work groups. Journal of Organizational Behavior: The
International Journal of Industrial, Occupational and Organizational Psychology and Behavior, 18(6), 731-
744.
27. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural
equation modeling (PLS-SEM). Thousand Oaks: Sage Publications.
28. Harms, P.D., Wood, D., Landay, K., Lester, P.B. & Lester, G.V. (2018). Autocratic leaders and authoritarian
followers revisited: A review and agenda for the future. The Leadership Quarterly, 29(1), 105-122.
29. Hassan, A.M., Dellow, D.A. & Jackson, R.J. (2009). The AACC leadership competencies: Parallel views
from the top. Community College Journal of Research and Practice, 34(1-2), 180-198.
30. Hollander, E.P. & Julian, J.W. (1969). Contemporary trends in the analysis of leadership processes.
Psychological bulletin, 71(5), 387.
31. Hurd, J.A. (2020). Leadership Styles of Head NASCAR Executives: A Historical Perspective (Doctoral
dissertation, East Tennessee State University).
32. Iman, N. & Lestari, W. (2019). The effect of leadership on job satisfaction, work motivation and
performance of employees: Studies in AMIK Yapennas Kendari. African Journal of Business Management,
13(14), 465-473.
33. Ivancevich, J.M., Szilagyi, A.D. & Wallace, M.J. (1977). Organisational Behaviour and Performance.
Goodyear Publishing Company Inc.
34. Jaafar, S.B., Zambi, N.M. and Fathil, N.F. (2021). Leadership style: Is it autocratic, democratic or
laissezfaire. ASEAN Journal of Management and Business Studies, 3(1), 1-7.
35. Jony, M.T.I., Alam, M.J., Amin, M.R. & Jahangir, M. (2019). The impact of autocratic, democratic and
laissez-faire leadership styles on the success of the organization: A study on the different popular
restaurants of Mymensingh, Bangladesh. Canadian Journal of Business and Information Studies, 1(6),
2838.
36. Khan, M.I., Fiaz, M. and Taous, M., 2023. An Empirical Analysis of the Nexus between Leadership Styles
and EmployeesPerformance. Open Access Organization and Management Review, 1(2), 38-48.
37. Klath, E., Maxwell, A., & Bob, L. (2017). Human Resource Management. Ohio: Merit Publishing
Company.
38. Kolb, D.A. (2014). Experiential learning: Experience as the source of learning and development. FT press.
39. Lincoln, Y.S., Lynham, S.A. & Guba, E.G. (2011). Paradigmatic controversies, contradictions, and
emerging confluences, revisited. The Sage handbook of qualitative research, 4(2), 97-128.
Page 970
www.rsisinternational.org
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026
40. Mintzberg, H. (1973). The nature of managerial work. Haper and Row.
41. Mugenda, O.M. & Mugenda, A.G. (2003). Research methods: Quantitative & qualitative apporaches (Vol.
2, No. 2). Nairobi: Acts press.
42. Noor, S. (2021), February. What is Covid New Normal and its Leadership Requirements?. In SJIM
International Conference (Vol. 109).
43. Northouse, P.G. (1999). Leadership: Theory and practice (p. xxiii). Sage.
44. Ogbonna, E. & Harris, L.C. (2021). Leadership style, organizational culture and performance: empirical
evidence from UK companies. International Journal of Human Resource Management, 11(4), 766–788.
45. Oussible, N. and Tinaztepe, C.I.H.A.N. (2022). The Effect of Democratic Leadership Style on
Organizational Productivity by the mediating role of Employee performance in Turkey. International
Journal of Recent Research in Commerce Economics and Management, 9(1), 6-16.
46. Peker, S., İnandı, Y. & lıç, F. (2018). The relationship between leadership styles (autocratic and
democratic) of school administrators and the mobbing teachers suffer. European Journal of Contemporary
Education.
47. Robbins, S., Waters-Marsh, T., Cacioppe, R., Millet, B. (1994). Organisational Behaviour - Concepts,
Controversies, and Applications. Prentice Hall Limited. Australia.
48. Rue, L. & Byars, L. (2017). Management: Skills and Application. McGraw-Hill Education.
49. Saunders, M., Lewis, P. & Thornhill, A. (2019). Research Methods for Business Students (8th Ed.).
Harlow: Pearson Education Limited.
50. Schermerhorn Jr, J.R. & McCarthy, A. (2004). Enhancing Performance Capacity in the Workplace: A
Reflection on the Significance of the Individual. Irish Journal of Management, 25(2).
51. Setiawan, I.G.A. & Sheidu, C.F. (2024). Impact of Leadership
Styles on Employees' Performance. International Journal of Economics And Management Review,
2(1),53-62.
52. Setiawan, R., Cavaliere, L.P.L., Navarro, E.R., Wisetsri, W., Jirayus, P., Chauhan, S.,Tabuena, A.C. &
Rajan, R. (2021). The impact of leadership styles on employees productivity in organizations: A
comparative study among leadership styles. Productivity Management, 26(1), 382-404.
53. Shanmugam, H., Juhari, J.A., Nair, P., Ken, C.S. & Guan, N.C. (2020). Impacts of COVID-19 pandemic
on mental health in Malaysia: a single thread of hope. Malaysian Journal of Psychiatry, 29(1), 78-84.
54. Smajlović, S., Umihanic, B. & Turulja, L. (2019). The interplay of technological innovation and business
model innovation toward company performance. Management: Journal of Contemporary Management
Issues, 24(2), 63-79.
55. Smith, D.G. (1964). Pragmatism and the group theory of politics. American political science review, 58(3),
600-610.
56. Sudit, E.F. & Sudit, E.F. (1984). The Productivity Concept: Definition, Measurement and Managerial
Importance. Productivity Based Management, 1-17.
57. Suprayitno, D. (2024). Leadership Style and Employee Productivity in Manufacturing Companies In
Indonesia. Commercium: Journal of Business and Management, 2(2), 31-46.
58. Turcotte‐Légaré, N., Gaudet, M.C. & Doucet, O. (2023). Understanding the effects of empowering
leadership on positive and negative performance behaviors: A manufacturing sector study. Canadian
Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 40(2), 218-231.
59. Wei, L. and Vasudevan, H.L. (2022). Leadership style and company performance in the manufacturing
industry. Int. J. Hum. Capital Urban Manage, 7(3),14.
60. Winston, B.E. & Patterson, K. (2006). An integrative definition of leadership. International journal of
leadership studies, 1(2), 6-66.
61. Xuefeng, Q. (2023). The effect of leadership style on employee motivation: A case study of manufacturing
companies. Journal of Management and Administration Provision, 3(1), 12-16.
62. Yamane, T. (1973). Statistics, An Introductory Analysis, 2nd Ed., New York: Harper and Row; 886.
63. Yousef, D.A. (2000). Organizational commitment: a mediator of the relationships of leadership behavior
with job satisfaction and performance in a non‐western country. Journal of managerial Psychology, 15(1),
6-24.