The Effectiveness of Bonus Payment as a Financial Incentive for Top
Management
ADEL BYKOVA1, ALLA LOBZA1, JULIA GAVRYSH2, IRYNA SOROKA3,
YEVHENIIA KARPENKO4
1Department of Economics and Social and Labor Relations, Faculty of Economics,
Business and International Relations, University of Customs and Finance
2/4 Vladimir Vernadsky (Dzerzhinsky) Street, 49000, Dnipro
UKRAINE
2Department of Industrial Marketing, Faculty of Management and Marketing,
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”,
37 Peremohy Avenue, 03056, Kyiv,
UKRAINE
3Jindal Institute of Behavioural Sciences (JIBS),
JGU, Sonipat Narela Road, Near Jagdishpur Village, Haryana, 131001, Sonipat,
INDIA
4Department of Finance, Banking and Taxation, Educational and Scientific Institute of Finance,
Economics, Management and Law, National University Yuri Kondratyuk Poltava Polytechnic
24 Pershotravnevyj Ave., 36011, Poltava,
UKRAINE
Abstract: - Employees are important for the company’s success. Top management not only performs functional
duties, but also makes strategic and operational decisions. The aim of the study is to determine the impact of
bonus payments as a means of material motivation on the top managers’ performance. The authors of this study
surveyed 147 top managers of 70 Ukrainian IT product companies using a pre-developed questionnaire. The
method of pairwise comparisons was used to establish the priority forms of motivating and demotivating
factors. The impact of payment of material incentives in the form of bonuses to top managers on the
achievement of such performance indicators as company profit, total revenue, ROI, performance indicators of
individual departments and personal performance indicators of top managers was established and confirmed.
There is a 96% correlation between the amount of additional bonus payments and the motivation of top
managers. The reliability of the regression model of the impact of additional bonuses on the level of motivation
of top managers is 92%. The results indicate the ability of company owners to influence the motivation of top
managers through the introduction of bonus payments or increasing their size. A high level of efficiency of
bonuses as financial incentives to motivate top managers to achieve the established KPIs has also been
established and proven. The vast majority of top managers are willing to increase the number or value of
already established KPIs to receive additional bonuses. The results of the study confirm the importance and
effectiveness of financial incentives for top managers.
Key-Words: - Bonuses, material incentives, motivation, rewards, basic salary, additional salary.
Received: October 7, 2021. Revised: July 22, 2022. Accepted: August 13, 2022. Published: September 6, 2022.
1 Introduction
In the current competitive environment, when
innovative advantages are increasingly offset by the
speed of technology transfer, the company’s
employees are becoming increasingly important for
its success. Top management is a separate category
of employees, which not only performs functional
duties, but also makes strategic and operational
decisions on which the company’s performance
depends. Business owners become dependent on the
decisions made by hired top managers. On the one
hand, ineffective decisions can be avoided at the
stage of selecting a candidate for the position of top
manager, while on the other hand, even high
competence and experience do not guarantee the
effectiveness of decisions.
Like any employee, top managers must be
motivated enough to work effectively. One of the
tools of such motivation is financial incentives
through the payment of bonuses or rewards for the
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Adel Bykova, Alla Lobza, Julia Gavrysh,
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results of their work. An open question is what
exactly the top manager receives a bonus for, and
whether it is possible to manage financial incentives
in a certain way to achieve the company’s specific
goals. Besides, top managers usually receive bonus
payments not monthly, but quarterly or often based
on the results of the year. Thus, the motivation of
top managers should be long-term, and therefore
significantly different from the motivation of
ordinary employees, whose incentives are usually
monthly.
The motivation and purpose of this work are to
determine the influence of material payments in the
form of wages and bonuses on the motivation and
productivity of top managers. Unlike previous
studies, in our study, we pay attention to the
category of top management employees who
perform non-routine work, on which the success of
the company's activities and financial indicators
depend to a large extent.
2 Literature Review
The In existing studies, the issue of staff motivation
is considered in different contexts. Part of the
research deals with the classification of tools to
increase motivation to work. The rest of the research
examines the impact of financial and non-financial
incentives on motivation. Many studies reveal the
question of comparing tangible and intangible
incentives to work. In our opinion, the effect of staff
motivation, which is not considered at all in the
analysed research, is ignored. Researching the
remuneration of management, researchers in [1]
note that the vast majority of companies focus on
fair pay. At the same time, there is no notion of
fairness in the personnel management policies of
these companies. Only 25% of surveyed companies
share their success with their employees in the form
of additional bonuses or incentives for performance
indicators. At the same time, the authors do not
study the differences in the remuneration of
ordinary managers and top managers, who usually
have slightly different performance indicators and
goals. According to the concept of fair pay, the
category of top managers should receive greater
compensation due to the higher level of
responsibility. However, this aspect was not
considered in the work of the authors.
In the study of modern methods of incentivising
employees [2] it is noted that the system of material
incentives needs to be modernized and developed.
Such a system of motivation must be consistent and
tied to the company’s goals. The main task of
material incentives is to encourage employees to
achieve better results [3]. A system of material
incentives should be introduced on the basis of an
analysis of the employees’ needs. It is necessary to
find out what forms of material incentives are
desirable and to establish how they can be
implemented in view of the company’s goals [4, 5].
However, the author does not define the features of
material motivation of top management, whose
decisions determine the company’s performance,
and therefore the material incentives of whom
should be built on a model different from other
employees.
Examining the pay of top managers, the authors
of [6] come to the conclusion that it is necessary to
change the system of material incentives for this
category of managers. The authors of the study note
that the scope and results of the direct functional
responsibilities of top management are not directly
related to the company’s results. At the same time,
the material incentives of top managers depend on
the company’s performance. This is also evidenced
by the results of other studies [7, 8]. There is a
situation where top managers may not have a direct
impact on the company, but top management will
receive bonuses and incentives because other
employees provide high performance. The results of
this study urge the topic of our study, which focuses
on identifying the consequences of material
incentives for top management of companies.
In another study of the impact of material
incentives on employee motivation [9], the authors
conclude that material incentives not only affect the
level of employee satisfaction with their wages and
work, but also have a positive effect on their
motivation. At the same time, the study does not
consider different categories of employees and,
accordingly, the impact of financial incentives on
their motivation. We can assume that with an
increase in wages, the effect of material incentives
will decrease in accordance with the law of
diminishing marginal utility. In this case, the
category of top management needs research, which
usually has a high level of remuneration, and
therefore it is interesting to study the consequences
of financial motivation of this category of
employees.
In the study of the importance of the system of
rewards [10] it is noted that the need to establish a
system of incentives in companies. These systems
should include both tangible and intangible
incentives, and they should be implemented
according to a clearly defined and developed
strategy. At the same time, the author does not detail
the categories of employees in relation to which it is
necessary to apply certain incentives. Since top
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management has such significant privileges, the
effectiveness of intangible incentives for this group
of employees can have an extremely low effect.
Accordingly, it is necessary to investigate the
possible potential consequences of material
incentives for top management in order to determine
the most effective incentivising methods.
In a study of the relationship between the
motivation system and the company’s performance
[11], the authors argue that when the incentive to
achieve the targets is distributed fairly, it helps to
increase employee satisfaction. However, if the
company has a system of comparing employees
with each other, it leads to a deterioration of the
microclimate in the team, which negatively affects
the results of their work. Besides, employee
satisfaction with material incentives encourages
them to participate more actively in achieving
performance targets. In general, such conclusions do
not reveal the features of material incentives for top
management and the consequences of such
incentives for their further work.
Examining the system of motivation in global
corporations, the team of authors in [12] noted that
modern systems of motivation of top management
include both objective and subjective components.
The objective components of the motivation system
include the results of the company, the
implementation of plans, increasing the value of the
company or its capitalization, and so on. Subjective
components include taking into account the top
manager’s personal qualities, his emotional
intelligence, ability to work effectively with
subordinates, and so on. In this aspect, the system of
motivation takes transformations and material
bonuses can broadcast not only the importance of
company development, but also the top manager’s
personal development. Besides, the motivation of
other staff depends on the management’s
motivation, as [13] noted.
Studying the role of the motivation system to
improve staff performance, [14] notes that the
majority of motivation policies are biased in the way
they motivate. It is necessary to develop such
systems of motivation that would proportionally
combine tangible and intangible incentives. It is also
necessary to clearly establish the relationship
between different incentive methods and
performance targets. This will allow for a clearer
and more predictable implementation of the
incentive policy, and employees will clearly
understand the conditions for receiving bonuses.
The team of authors [15] conclude that material
incentives for employees are effective in the short
term. In particular, the material incentive has a
positive effect in the period in which it was paid,
and in the period following the date of receipt of
such incentive. So, a one-time financial incentive
has a positive effect on the incentive for employees
to do their job better. However, the study did not
single out the categories of top management
employees for whom a one-time motivation system
is set individually depending on the contract terms.
Studying the impact of the reward system on
employee engagement, [16] indicate that there is a
low correlation between total pay and engagement.
This conclusion indicates that what is important for
employees is not the total remuneration, but its
individual elements. Therefore, it is necessary to
conduct a preliminary study of the validity of
tangible and intangible incentives for employees and
to form a system of motivation, taking into account
the importance of certain rewards for individual
employees.
Analysis of the literature has shown that in the
vast majority of studies, top management is not
considered as a separate specific category of
employees. At the same time, the issue of the impact
of material incentives, in particular one-time
payments, on the performance of top managers
remains unresolved. So, our study is timely and
topical in this context.
The aim of the study is to determine the impact
of bonus payments as a means of material
motivation on the top managers’ performance. The
aim involved the following research objectives:
- study the level and structure of remuneration of
top managers of Ukrainian IT companies;
- determine the level of job satisfaction and
factors that motivate and demotivate top managers
of Ukrainian IT companies;
- determine the list of resultant indicators of the
companies’ activity which can be influenced by top
managers owing to the motivation or demotivation
to receive bonus payments in addition to a salary.
3 Methodology
3.1 Research Design
The main stages of the study are schematically
shown in Fig. 1.
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Fig. 1: Visualised research design
Source: Authors
The first stage of the study involves a review of
current research and identification of unresolved
issues. After that, we formulated th aim of the study
and identified the objectives that need to be fulfilled
to achieve it. Having developed the research design,
we sent a questionnaire to top managers of
Ukrainian IT companies with a request to fill it out.
The second stage of the study involved the
analysis of the respondents’ answers and the
determination of resulting indicators of material
incentives for top management of IT companies.
The third stage of the study provides for the
formulation of research limitations and drawing
conclusions. Besides, the prospects for further
research will be identified at this stage.
3.2 Sample
The study is based on the analysis of the results of a
survey of top managers of Ukrainian IT companies
on the level and structure of remuneration, the
factors that motivate and demotivate them in their
work. Multi-stage stratified sampling based on
company specialization was used to select IT
companies, and 147 respondents from 70 IT product
companies engaged in software development for
different categories of consumers were selected for
the sample. Of the approximately 4,000 IT
companies in Ukraine with a 90% confidence
interval and a 10% confidence interval, the required
sample size is 67 companies.
However, for greater reliability, the number of
companies was increased to 70 because top
managers were the object of study. Instead, the
position and scope of activities of top managers
whose motivation is being studied are important. On
this basis, the sample presents the following
categories of top management of Ukrainian IT
companies: CEO (Chief Executive Officer) 33
respondents, CTO (Chief Technical Officer) 21
respondents, GPM (Chief Product Manager) 5
respondents, COO (Chief Operating Officer) 20
respondents, CFO (Chief Financial Manager)
respondents, HRD (HR Director) respondents,
CMO (Chief Marketing Officer) 24 respondents.
3.3 Methods
The main methods used in the study are:
- survey;
- regression analysis;
- statistical analysis.
The methodological background of the study is a
survey of 147 respondents through a questionnaire
developed by the author. There were 10 questions in
the questionnaire. The answers provided for the
need to choose one answer from the proposed
options (for example, for the form of remuneration),
and the need for ranking. The question of the size of
the basic salary and the size of bonuses provided a
choice from the offered scale: up to $2,000; $2,001-
3,250; $3,251-5,000; $ 5,001-6,000, more than $
6,001. The question of the size of the salary plus the
bonus provided a choice from the proposed scale: up
to $ 2,000; $2,001-5,000; $5,001-6,250; $ 6,251-
10,000, more than $ 10,001.
The answer options to the question about the
factors of the greatest motivation and demotivation
provided for the need to evaluate each of the
proposed answer options in percent. It was
necessary to distribute 100% between the answer
options that best correspond to the respondent’s
opinion. The format of answering the question about
the KPIs which are the ground for paying the bonus
Preperatory
stage
Development of
the research
design
Development and
distribution of the
questionnaire
Experimental
stage
Analysis of the
respondent's
answers
Determining the
resulting indicators
of stimulation
Post-
experimental
stage
Formulation of
research
limitations
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and the readiness to reach the set KPIs and expand
them was built in the same way. To process the
survey results, the method of pairwise comparisons
was used to establish the priority forms of
motivating and demotivating factors.
When processing the responses, which provided
the ability to choose several options, the weighted
average values were used to calculate the proportion
of each of the answer options. A graphical method
was used to present the obtained results in a user-
friendly form. The correlation method was used to
determine the dependence of motivation on bonus
payments. Regression analysis was used to
determine the impact of salaries and bonuses on the
level of top managers’ motivation. For the purposes
of the study, we consider the level of motivation of
top managers of IT companies as a function of
bonus payments. In turn, the level of motivation is
assessed on a scale from 1 to 5, where 1 is the
lowest level of motivation, and 5 is the highest. The
survey results were processed and presented in
graphical form in Microsoft Excel using statistical
data processing methods.
4 Results
One of the main and most effective means of
ensuring the optimal use of company resources is
staff motivation. The main task of the process of
staff motivation is to obtain the highest possible
return on the use of available human resources. This
factor is designed to increase the company’s overall
profitability and efficiency. The importance of
motivating the companies’ top management is worth
noting, because the motivation of all company staff
and performance indicators depend on the
effectiveness of their decisions. We analysed the
respondents’ answers in order to determine which
performance indicators of companies may be
affected by the material incentives of top managers.
The results of the survey showed that a total of
63% of respondents receive additional material
incentives to the basic salary (Fig. 2).
Fig. 2: Forms of remuneration of top managers of IT companies, %
Source: Authors
Such additional financial incentives in 39% of
respondents are paid in the form of a bonus. As a
rule, such bonuses are paid once a year for the
fulfilment of certain planned or target indicators,
which are pre-determined by the employment
agreement. In 13% of respondents, additional
financial incentives are provided in the form of
granting rights to a company’s share. Such a
material incentive is not systemic and is based on
the results of many years of the top manager’s
work. In 11% of respondents, additional financial
incentives are paid in the form of monthly or
quarterly bonuses.
Analysis of data on the size of the basic salary
and the size of the basic salary and bonuses per
month is shown in Fig. 3.
The data of Fig. 3 show that 10% of respondents
receive only the basic salary without additional
bonuses and it is $ 2,000. There were 50% of
respondents who received a basic salary of $ 5,000,
and it was $ 6,250 together with bonuses. Some
25% of respondents receive a basic salary of $
3,250, and it is $ 5,000 together with the bonuses.
There were 15% of respondents who received a
basic salary of $ 6,000, and it was $ 10,000
together with the bonuses. Analysis of the survey
results showed that young top managers who have
37% 39%
13% 11%
0%
10%
20%
30%
40%
50%
Fixed salary Fixed salary + bonus
Fixed salary + company share Fixed salary + rewards
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no more than 2 years of experience in the position
receive a salary without bonuses. The highest
salaries and bonuses are received by top managers
who have extensive experience in general and have
held the position of top manager in the company
for quite a long time (more than 7-8 years).
Fig. 3: The amount of remuneration of top managers of IT companies, $
Source: Authors
As we can see, the bonus is quite a significant part
of the total material reward of top managers. The
highest salaries and bonuses are given to three
categories of top managers of IT companies:
founders, who are also CEOs ($ 6,250); Chief
Executive Officers and Chief Technical Officers ($
6,000) (Fig. 4).
Fig. 4: Salary + bonus of top managers of IT companies, $
Source: Authors
The average salary is paid to Chief Product
Managers, Chief Operations Officers and Chief
Financial Officers. HR and Marketing Directors
have the lowest remuneration. To assess the impact
of material incentives for top managers on the
performance of IT companies, it is important to
establish the degree of satisfaction with their work.
After all, even if the size of the basic salary and
bonuses is large, it still does not guarantee that top
managers will try to achieve those indicators that
are important for business owners. Satisfaction and
motivation to work play an equally important role
for that purpose.
The results of the survey show that a total of
84% of respondents are satisfied with their work in
the company (Fig. 5). At the same time, 53% of
respondents are unequivocally sure about that.
10%
25%
50%
15% 10%
25%
50%
15%
0%
10%
20%
30%
40%
50%
60%
2000 3250 5000 6000 2000 5000 6250 10000
Fixed salary Fixed salary+bonus
6250 6000 6000
4500 5000
3875
2450 3000
0
1000
2000
3000
4000
5000
6000
7000
Founder + CEO CEO CTO GPM COO CFO HRD CMO
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Fig. 5: The degree of satisfaction of top managers with work in the company
Source: Authors
There were 5% of respondents who were absolutely
dissatisfied with their work; 11% of respondents
were rather dissatisfied with the work in the
company in which they worked at the time of the
survey. The obtained data on the degree of job
satisfaction indicate that the vast majority of
respondents are satisfied with their work in the
company and also have financial bonuses or
rewards in addition to the basic salary. Taken
together, this gives us reason to say that the
surveyed top managers of Ukrainian IT companies
are satisfied with their work and appreciate their
position. As working for the company is valuable
to them, they agree to work on the terms of their
contracts, and therefore the employer can influence
the work of top managers through the tool of
material incentives in the form of bonuses and
rewards. Through the bonus payment tool, the
employer can influence the efficiency of top
managers. This assumption is confirmed by the
analysis of the factors of the greatest motivation of
top managers of Ukrainian IT companies (Fig. 6).
Fig. 6: Factors of the greatest motivation of top managers of IT companies
Source: Authors
The data of Fig. 6 show that the most significant
motivating factors include two instruments of
material incentives (salary level and bonus level).
The high importance of material motivation factors
confirms the idea that it can be a tool to influence
the work of top managers and ensure that they
achieve the company’s goals.
At the same time, the factors of the greatest
motivation (Fig. 7) include the unsatisfactory level
of bonuses, which was chosen by 29% (or almost a
third) of respondents. This means that a third of top
managers surveyed are dissatisfied with the amount
of material benefits.
62%
36%
45% 49%
61% 65%
0%
10%
20%
30%
40%
50%
60%
70%
Salary level Level of bonusesFlexible schedule Company values Freedom in
decision making Professional
growth
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Fig. 7: Factors of the greatest demotivation of top managers of IT companies
Source: Authors
For business owners, this can be a signal of
reserves to increase the productivity and efficiency
of top managers. By increasing the amount of
bonus payments, this factor can be transferred from
demotivators to motivators, which will increase the
level of top manager’s satisfaction with the work.
As a result, work in the company will be of value to
him/her, and therefore he/she will be motivated to
achieve his/her goals.
To determine the possible resulting indicators of
bonus payments to top managers, let’s analyse
which KPIs provide top managers with bonuses
(Fig. 8).
Fig. 8: KPIs which provide top managers with a bonus for their achievement
Source: Authors
The study showed that the payment of bonuses to
top managers depends on their achievement of key
indicators, which are fixed in their contracts.
Accordingly, by using bonus payments as a
motivating factor or by increasing the amount of
bonuses offered to convert them from a
demotivating to a motivating factor, it is possible to
influence the motivation of top managers to
achieve the KPIs set. However, it is still unknown
whether top managers will agree to such
conditions. To answer this question, the
questionnaire provided a question about the
readiness to achieve the already set KPIs to receive
the bonuses provided and the willingness to
increase the number or value of KPIs to obtain the
relevant bonuses (Fig. 9, 10).
44% 42%
29% 28% 24%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Lack of work-life
balance Unsatisfactory
level of salaries No or low bonuses Lack of flexible
work schedule Lack of friendly
corporate culture
43%
30% 25% 23%
10%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Company profit The company's
total revenue Achieving the
planned indicators
of the department
Achieving
individual targets Company's ROI
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Fig. 9: Willingness of top managers of IT companies to achieve KPIs for bonuses
Source: Authors
Fig. 10: The readiness of top managers of IT companies to expand the list of KPIs for bonuses
Source: Authors
The analysis of the respondents’ answers shows
that the vast majority are ready to achieve the KPIs
set in order to receive the bonuses provided for this.
We assume that this may be the part of top
managers who said they were dissatisfied with the
level of bonuses in their company. So, if the size of
the proposed bonuses increases, this category of top
managers may shift to those who are rather ready to
achieve the KPIs or surely ready.
The share of those top managers who are
definitely ready to increase the requirements for
KPIs in order to receive bonuses is much smaller
than the share of those who are ready to achieve the
already set KPIs. At the same time, the share of
those who are more willing to expand the list of
KPIs is less than the share of those who are more
willing to reach the set KPIs. We can state that top
managers are much more motivated to achieve
existing KPIs than to receive new ones for
additional bonuses. This may indicate either a
reluctance to take on additional responsibilities or a
lack of motivation for the additional responsibilities
offered by the company. The generalized results of
the survey of top managers of Ukrainian IT
companies on the effectiveness of bonus payments
as a financial incentive are shown in Fig. 11.
Based on the obtained data, we can present the
impact of bonus payments on the motivation of top
managers of IT companies (Fig. 12).
47%
38%
15%
0%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Ready to achieve Rather ready to
achieve Rather not ready to
achieve Not ready to achieve
18%
54%
20%
8%
0%
10%
20%
30%
40%
50%
60%
Ready to expand Rather ready to expand Rather not ready to
expand Not ready to expand
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Fig. 11: The readiness of top managers of IT companies to expand the list of KPIs for bonuses
Source: Authors
Fig. 12: Dependence of the level of motivation on the basic salary
Source: Authors
According to the results of calculations, the
correlation between the size of wages and the level
of motivation is 0.93. For a more detailed analysis
of the impact of wages on the level of motivation,
we consider its regression impact (Table 1). High
values of model reliability indicators (Multiple R =
0.9304804; R-squared = 0.8657937; Adjusted R-
squared = 0.7986906) indicate a positive, strong
correlation between salary and the level of
motivation of top managers.
Table 1. Regression correlation between the salary size and the level of motivation of top managers
Regression statistics
Multiple R
0.9304804
R-squared
0.8657937
Adjusted R-squared
0.7986906
Standard error
0.2590426
Number of observations
4
Analysis of variance
51% of respondents receive bonuses and rewards1
84% of respondents are satisfied with their work in the company2
Salaries and bonuses are the motivation for 62% and 36% of respondents,
respectively
3
The low level of bonuses demotivates 29% of respondents4
The bonuses or rewards can help to influence the following indicators: the
company's profit, total revenue and ROI, performance indicators of departments
and individual targets of top managers
5
85% of surveyed top managers are ready to expand the list of KPIs to receive
bonuses
6
2000
3250
5000
6000
3 3
4 4
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
0
1000
2000
3000
4000
5000
6000
7000
Level of motivation
Salary, $
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df
SS
MS
F
Significance F
Regression
1
0.8657937
0.8657937
12.902439
0.0695196
Residue
2
0.1342062
0.0671031
Total
3
1
The reliability of the model of the influence of the
salary size on the degree of top managers’
satisfaction is 86%, which is quite a high value.
The chart of the size of existing bonuses for top
managers and the level of their motivation due to
such bonuses is shown in Fig. 13.
Fig. 13: Dependence of the level of motivation on the size of bonuses
Source: Authors
The correlation between the size of top managers’
bonuses and their level of motivation is 0.93. Such
data indicate a high level of correlation between
both the basic salary and bonuses to the basic salary
with the level of motivation of top managers of IT
companies.
The data of the regression model (Table 2)
indicate a high degree of reliability of the obtained
results. High values of model reliability indicators
(Multiple R = 0.9345306; R-squared = 0.8733475;
Adjusted R-squared = 0.8100213) indicate a
positive strong correlation between the amount of
salary and the level of motivation of top managers.
To assess the effect of increasing bonus payments
on the degree of motivation of top managers, the
questionnaire included a question of how top
managers assess their own level of motivation,
provided that the size of their bonus will be
increased by 20% of the basic salary. A graphical
representation of the size of additional bonuses and
the degree of motivation is shown in Fig. 14.
Table 2. Regression correlation between the size of bonuses and the level of motivation of top managers
Regression statistics
Multiple R
0.9345306
R-squared
0.8733475
Adjusted R-squared
0.8100213
Standard error
0.7443819
Number of observations
4
Analysis of variance
df
SS
MS
F
Significance F
Regression
1
7.6417910
7.6417910
13.791245
0.06546934
Residue
2
1.1082089
0.5541044
Total
3
8.75
0
1750
1250
4000
1
4
3
5
0
1
2
3
4
5
6
0
500
1000
1500
2000
2500
3000
3500
4000
4500
Level of motivation
Existing bonus, $
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Fig. 14: Dependence of the level of motivation on the size of potential bonuses
Source: Authors
The correlation between the level of additional
bonuses offered and the level of motivation is 0.96.
Thus, the increased bonuses show an even greater
correlation with the level of motivation of top
managers. These data are confirmed by regression
analysis (Table 3). High values of model reliability
indicators (Multiple R = 0.9345306; R-squared =
0.8733475; Adjusted R-squared = 0.8100213)
indicate a positive strong correlation between the
amount of salary and the level of motivation of top
managers.
Table 3. Regression correlation between the size of additional bonuses and the level of motivation of top
managers
Regression statistics
Multiple R
0.9636296
R-squared
0.9285820
Adjusted R-squared
0.8928730
Standard error
0.3133682
Number of observations
4
Analysis of variance
df
SS
MS
F
Significance F
Regression
1
2.5536006
2.5536006
26.004166
0.03637037
Residue
2
0.1963993
0.0981996
Total
3
2.75
4.1 Limitations and Implications for the
Research
This study has methodological and implementation
limitations. The methodological limitation is that
the sample of respondents consists of the
representatives of IT companies only. IT companies
offer significantly higher wages and bonus
payments compared to companies in other
industries. Accordingly, the study on the example
of less profitable industries may give results that
will differ from the results obtained in our study.
The implementation limitation of the study is that
the results can be applied only in those industries or
companies where top management has financial
incentives in their work, as well as in companies or
industries that have the ability to introduce or
increase wages and bonuses based on their financial
position.
5 Discussions
The results of the study show that bonus payments
are an effective tool for motivating top managers.
By setting or increasing the size of bonuses or
rewards, you can influence the motivation of top
managers to achieve key performance indicators. In
some cases, the number of KPIs can even be
increased compared to those already set, being
compensated for that with additional bonuses. This
indicates a significant reserve for companies to
return to work and motivate top managers to
achieve the set goals.
The results of the study are unique as they
empirically prove the correlation between bonuses
and rewards as financial incentives and the ability
of companies to achieve their targets through the
work of top managers. Comparing the results with
400
650
1000
1200
3
4
5 5
0
1
2
3
4
5
6
0
200
400
600
800
1000
1200
1400
Motivation level
New bonus, $
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other studies, it should be noted that previous
studies have been largely limited to the impact of
financial incentives on employee motivation. The
author of [17] found that financial incentives have a
significant impact on increasing employee
motivation. Besides, it was found that 46% of
employees’ motivation depends on the financial
reward they receive.
According to the results of the study, the author
concludes that financial incentives in the form of
bonuses or rewards are the most effective way to
increase employee motivation in manufacturing
enterprises. The researcher in [18] comes to similar
conclusions in the study of the impact of financial
benefits on labour productivity. The author notes
that a strong positive correlation was found
between financial remuneration and labour
productivity as the main indicator of employee
motivation. In this context, wages can only be seen
as an incentive if they are above the market
average. Otherwise, wages are not a tool of
motivation, and it is necessary to use additional
bonuses or payments to achieve the effect of
productivity growth.
In another study of the impact of financial
incentives on employee creativity [19] the authors
conclude that financial reward has a strong positive
impact on employee creativity. The results of
regression analysis show that 76% of employees’
creativity is due to financial rewards paid to them.
The authors note that for the further development
of creativity in employees it is necessary to develop
and implement new differential systems of
financial incentives. In a study of the impact of
deferred bonus payments on investment decisions
of managers, the team of authors [20] concludes
that investment top managers are more likely to
make decisions that reduce their short-term
payments, but provide long-term benefits to the
company.
This is due to the fact that long-term successful
performance of the company ensures that managers
receive bonuses. It also proves a positive
correlation between financial payments and
managers’ investment performance.
A study of the behavioural effects of financial
bonuses on managers [21] notes that under the
traditional system of rewards in the form of
bonuses, managers can intentionally change the
style of their work with a focus on receiving
financial incentives. But such a change in
behaviour does not always have a positive effect on
the company’s performance. So, the introduction of
a system “bonus for the result” when the manager
receives a bonus after the company reaches the
target is more promising [22]. However, such a
system may have the disadvantage of reducing the
motivation of managers, because the results of the
company do not always directly depend on them. In
a similar study of the relationship between
payments to top managers and the efficiency of
banks [23], the authors found that the relationship
between payments to top management and
performance indicators of the bank has a nonlinear
correlation. Increasing the level of top management
payments does not always lead to increased
efficiency of the bank. In particular, variations in
the amount of payments do not affect the
technological development of banks. A similar
study on the example of Nigeria [24] showed that
there is a relationship between the salaries of
directors and such indicators of the bank’s
performance as return on assets (ROA), return on
equity (ROE). There is a similar correlation
between the premium paid to managers and ROA,
ROE. The correlation between staff motivation and
company performance is also confirmed in the
study [25].
A study of the impact of financial payments to
top managers on the performance of banks in
Kenya [26] concludes that financial payments in
the form of wages, annual bonuses and rewards
have a positive effect on the performance of
commercial banks. At the same time, bonuses in
the form of a block of shares of the bank do not
have a positive effect on the work of top managers
and lead to a deterioration in the performance of
financial institutions. The same results are observed
in the study of the team of authors on the example
of manufacturing companies in the UAE [27].
The team of authors [28-30] studied the level of
payments to top managers in the short and long
term. The amount of these payments was examined
for the correlation with the performance of
companies. Research has shown that there is a
strong link between payments to top managers and
company performance. Our study found that the list
of these indicators can be increased if top managers
are willing to do so. Our results show that the vast
majority of surveyed top managers are ready to
increase the number of KPIs to receive additional
bonuses. Our study confirms that financial
incentives significantly prevail over other ways of
motivating staff, including representatives of top
management companies.
6 Conclusion
Strengthening the competitive environment
requires not only gaining competitive advantages in
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the external environment, but also increasing the
efficiency of the use of resources of the internal
environment. One such resource is employees in
general and top managers in particular. It is
important to find effective methods of stimulating
top managers of companies to ensure the
achievement of the company’s goals through their
personal motivation. For this purpose, the influence
of the payment of financial incentives in the form
of bonuses and rewards to top managers on the
achievement of such performance indicators as
company profit, total revenue, ROI, performance
indicators of individual departments and personal
performance indicators of top managers was
established and confirmed. The obtained results
indicate the ability of company owners to influence
the motivation of top managers through bonus
payments or increasing their size. The results of the
study indicate a high level of effectiveness of bonus
payments as financial incentives. The correlation
between the level of motivation and the size of
bonuses is 96%. This testifies to the strong
statistical influence of material payments on the
productivity of top managers of IT companies,
proving that material incentives significantly
prevail in effectiveness over other forms of
motivation.
The obtained results can be used for the
development of remuneration policy and
motivation system in IT companies. In particular,
the obtained results can be considered when
forming the section of the labor contract of top
managers in terms of material remuneration for
their work.
Unlike previous studies, in our research, we pay
attention to the category of top management
employees who perform non-routine work, on
which the success of the company's activities and
financial indicators depend to a large extent.
The methodological limitation is that the sample
of respondents consists of the representatives of IT
companies only. IT companies offer significantly
higher wages and bonus payments compared to
companies in other industries. Accordingly, the
study on the example of less profitable industries
may give results that will differ from the results
obtained in our study. The implementation
limitation of the study is that the results can be
applied only in those industries or companies where
top management has a monetary motivation in their
work, as well as in companies or industries that
have the ability to introduce or increase wages and
bonuses based on their financial position.
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Appendix A Table 3. Questionnaire for survey of top managers in IT Companies
Item
No.
Question
Answer options
1
Indicate your position
o Owner
o CEO
o CTO
o GPM
o COO
o CFO
o HRD
o CMO
2
What form of remuneration is used in your company?
o Fixed salary
o Fixed salary + bonus
o Fixed salary + share in the company
o Fixed salary + rewards
3
Specify the approximate amount of your basic salary, $
o 2,000
o 3,250
o 5,000
o 6,000
4
Specify the approximate amount of your basic salary +
bonus, $
o 2,000
o 5,000
o 6,250
o 10,000
5
Indicate your degree of job satisfaction in the company
o Absolutely satisfied
o Satisfied
o Rather satisfied
o Not satisfied
o Absolutely dissatisfied
6
Indicate the factors of the greatest motivation to work in
your company (you can pick several answer options)
o The level of wages
o The level of bonuses
o Flexible schedule
o Company values
o Freedom in decision-making
o Professional growth
7
Indicate the factors of the greatest demotivation of work in
your company (you can pick several answer options)
o Lack of work-life balance
o Unsatisfactory level of wages
o No or low bonuses
o Lack of flexible work schedule
o Lack of a friendly corporate culture
8
For the fulfilment of which KRIs are you paid a bonus?
o Company profit
o Total company revenue
o Achieving the planned performance
of the department
o Achieving individual targets
o Company’s ROI
9
Are you ready to fulfil KPIs to receive bonuses?
o Ready
o Rather ready
o Rather not ready
o Not ready
10
Are you ready to expand the list of KPIs to receive
bonuses?
o Ready
o Rather ready
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o Rather not ready
o Not ready
11
Estimate your level of motivation from the size of your
basic salary, where 1 is low, 5 is high
o 1
o 2
o 3
o 4
o 5
12
Evaluate your level of motivation from the size of your
bonuses, where 1 is low, 5 is high
o 1
o 2
o 3
o 4
o 5
13
Estimate your level of motivation from the size of
additional bonuses in the amount of 20% of the basic
salary, where 1 is low, 5 is high
o 1
o 2
o 3
o 4
o 5
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