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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1174
Factors Affecting Work Motivation of Official Credit
Staff in Ham Thuan Bac District, Binh Thuan Province
Nguyen Truong Thuan1
, Nguyen Quoc Nghi2
, Dinh Hoang Anh Tuan1
1
Phan Thiet University, Phan Thiet, Vietnam
2
Can Tho University, Can Tho, Vietnam
ABSTRACT
This study inherits and develops the Kovach model (1987), also
references researches related to employee motivation to find out
factors affecting the work motivation of staff working at official
credit institutions in Ham Thuan Bac district, Binh Thuan province.
Research data are collected from 176 employees working at official
credit institutions by convenient sampling. Applying exploratory
factor analysis and multivariate linear regression, the study has
demonstrated impacting factors to employee motivation. They
include learning and promotion opportunities, income and benefit,
care and recognition, working environment, leadership style, nature
of work, workplace relationship, empowerment, and job stability.
Especially, the factor of learning and promotion opportunities has the
most influence on the working motivation of official credit
employees in Ham Thuan Bac district, Binh Thuan province.
KEYWORDS: work motivation, credit organization, employee
How to cite this paper: Nguyen Truong
Thuan | Nguyen Quoc Nghi | Dinh
Hoang Anh Tuan "Factors Affecting
Work Motivation of Official Credit Staff
in Ham Thuan Bac District, Binh Thuan
Province" Published
in International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN:
2456-6470,
Volume-5 | Issue-6,
October 2021, pp.1174-1179, URL:
www.ijtsrd.com/papers/ijtsrd47529.pdf
Copyright © 2021 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
1. PROBLEM STATEMENT
In the era of industry 4.0, most businesses consider
human resource quality as their priority. The market is
moving towards digital transformation and enterprises
are concerned about investing in technology as well as
service quality. However, if the quality of human
resources does not meet certain demands, the
investment in technology or service quality is not
meaningful. How to properly exploit the available
human resources to develop the business is an urgent
issue for human resource managers. Work motivation
is one of the most significant factors. Self-conscious
workers with strong motivation have the strength to
overcome obstacles and complete the assigned tasks.
This helps improve work efficiency and contributes to
the success of the organization. Therefore, work
motivation and factors affecting the work motivation
need to be focused on, thereby building an appropriate
management model which brings higher efficiency to
the enterprise.
Human resource quality reflects the stability,
development, and safety of the whole banking system.
Motivating employee plays an essential role in
improving the bank's performance in the fierce
competition context. Therefore, researchingthe factors
affecting employee motivation in banks is necessary. It
is because this will be the basis for managers to arouse
and maintain the motivation for employees, above all
retain top talents. Hence, the study of factors affecting
the work motivation of employees at official credit
institutions in Ham Thuan Bac district, Binh Thuan
province was implemented.
2. THEORETICAL FRAMEWORK AND
RESEARCH HYPOTHESES
According to Herzberg (1959), work motivation is a
psychological process arising from the excitement,
direction, and perseverance to achieve individual and
organizational goals. Work motivation is the
voluntary, desire, and effort to work which helps
employees achieve personal goals, thereby acquiring
IJTSRD47529
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1175
the organization’s objectives (Bedeian 1993).
Motivation is an internal impulse, based on the basic
conscious and unconscious needs of an individual
which forces them to work towards the goals (Carr,
2005). In a study in 2007, Quan and Diem stated that
work motivation is the desire and willingness of
employees to increase efforts to achievecollective
goals. Pinder (2014) argued that work motivation is a
combination of powerful energies originating both
internally and externally that performs work-related
behaviors, determines the direction, intensity, and
duration of the work.
Based on the theoretical basis and research models
related to the motivation of employees (Kovach, 1987;
Herzberg, 1959; Vroom, 1964; McClelland (1987), the
study proposes a model of factors influencing the work
motivation of employees at official credit institutions
in Ham Thuan Bac district, Binh Thuan province. The
model includes ten factors: income and benefit, nature
of work, learning and promotion opportunity,
leadership style, workplace relationship, working
environment, job stability, care and recognition,
empowerment, work-life balance. The authors use
group discussions (qualitative research) with experts
and staff working at official credit institutions in Ham
Thuan Bac district to collect data. Thediscussion result
creates research hypotheses and appropriate scales for
the research model, so the model is established as
follows:
Figure 1: Proposed research model
Table 1: Interpretation of observed variables in the research model
Factor Observed variables Sign
Reference
resources
Income and benefit
Salary and welfare policies are decentralized. IB1
Khan et al.
(2017),
Dung
(2020)
The current salary is commensurate with employees’
ability.
IB2
Rewards are commensurate with their contributions and
dedication.
IB3
Insurance and working allowance are reasonable. IB4
Good policies of sick leave, maternity leave, annual leave,
etc.
IB5
Work nature
Work is arranged appropriately with the employees’
capacity and strengths.
WN1
Akhtar et
al. (2014)
Employees understand the work they are responsible for. WN2
Employees have the right to make decisions about their
work issues.
WN3
The job requires employees to make good use of their
abilities.
WN4
The job requires employees to learn and improve skills to
ensure effective work.
WN5
Learning and
promotion
opportunity
Employees participate in training programs to enhance their
professional skills.
LP1
Dung
(2020)
Employees participate in other training programs. LP2
Top employees have promotion opportunities. LP3
Employees have opportunities for career development. LP4
The bank provides good conditions to improve professional
qualifications for employees (exchange programs,
knowledge improvement activities, etc)
LP5
Income and benefit
Work nature
Learning and promotion opportunity
Leadership style
Working environment
Job stability
Work-life balance
Work
motivation
Workplace relationship
Care and recognition
Empowerment
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1176
Leadership style
Managers always respect and trust their employees. LS1
Akhtar et
al. (2014)
Managers always treat employees fairly without
discrimination.
LS2
Employees easily communicate with their managers. LS3
Managers always acknowledge the employees’
contributions.
LS4
Managers have high ability, strategic vision, and executive
skills.
LS5
Workplace
relationship
Colleagues always share knowledge and experience at
work.
WR1
Barzokiet
al.(2012)
Colleagues are friendly and open. WR2
Coordination and cooperation between employees take
place in a positive and effective direction.
WR3
Colleagues always support each other. WR4
The staff is willing to cooperate working as a team. WR5
Working
environment
Office and outside working time is arranged reasonably and
scientifically.
WE1
Khan et al.
(2017),
Dung
(2020)
Full working facilities and equipment. WE2
The workplace is safe and secure. WE3
Employees are supported to travel to work (vehicle, travel
expenses)
WE4
The performance evaluation criteria are clear and public. WE5
Job stability
The staff finds their current job is stable. JS1
Dung
(2020)
The staff is not worried about unemployment. JS2
The bank guarantees the number of working hours for
employees according to the current regulations.
JS3
Employees have clear labor contracts with the bank. JS4
The bank issues the job guarantee policy for employees. JS5
Care and
recognition
Managers recognize staff's achievements at work. CR
Akhtar et
al. (2014)
Managers timely reward employees with high performance. CR2
Managers fairly evaluate employees’ performance. CR3
Managers use performance appraisals as a mechanism to
control employees’ performance.
CR4
Managers always encourage employees at work. CR5
Empowerment
The bank allows employees to make decisions related to
their work.
EM1
Akhtar et
al. (2014),
Khan et al.
(2017),
Managers encourage employees to make decisions related
to the bank’s operation.
EM2
Employees can give ideas to develop the bank. EM3
The bank listens to employees before making decisions. EM4
The bank collects feedback from employees regularly. EM5
Work-life balance
The working schedules can be arranged flexibly. WL1
Barzokiet
al.(2012)
Employees have time for their families. WL2
Employees have time for personal-care activities. WL3
Employees are not worried about family-related issues
when they come to work.
WL4
Work motivation
Employees feel excited doing their current job. WM1 Akhtar et
al. (2014),
Khan et al.
(2017),
Dung
(2020)
Employees usually work in the best mood. WM2
Employees feel motivated with their job duties. WM3
Employees want to spend more time at work. WM4
The work in charge means a lot to employees. WM5
Source: Authors’ proposal, 2021
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1177
3. RESEARCH METHODOLOGY
3.1. Analytical method
The study uses convenient sampling to survey 176 employees working at official credit organizations in Ham
Thuan Bac district, Binh Thuan province. According to Hair et al. (1998), to meet the requirement of the EFA,
the observations/measurement variable proportion needs to be 5/1 which means one measurement variable
requires five observations in minimum. Tabachnick and Fidell (2007) showed the suitable sample size for
regression analysis should be N ≥ 50 + 5*m (m is the number of independent variables). To conclude, the sample
size of the study meets the requirements for the research hypothesis test.
3.2. Data collection method
The analytical methods used to test the research hypotheses include testing the reliability of the scales by
Cronbach's alpha coefficient, êxploratory factor analysis, and multivariate linear regression. The analysis is
carried out in the following three-step sequence. Step 1: Use Cronbach's alpha coefficient to test the correlation
between observed variables. Step 2: Use exploratory factor analysis (EFA) to test the convergent and
discriminant validity of variables. Step 3: Use multivariate linear regression to test the research hypotheses.
4. RESEARCH RESULTS AND DISCUSSION
4.1. Test the reliability of scales
The scale reliability is evaluated by Cronbach's alpha coefficient. Cronbach's alpha coefficient helps eliminate
"trash" variables. Those with item-total correlation values less than 0.3 are excluded (Nunnally, 1978;
Peterson, 1994; Slater, 1995) and the scale is selected if its Cronbach's alpha coefficient is greater than 0.6
(Nunnally & Bernstein, 1994). The analysis results in table 2 show that all scales have high reliability (α ≥
0.7). Also, all observed variables item-total correlation higher than 0.5. Therefore, all scales can be used in the
exploratory factor analysis (EFA).
Table 2: Reliability test of scales
Factor
Number of
observed variables
Min item-total
correlation
Cronbach's
alpha
Income and benefit 5 0.617 0.857
Work nature 5 0.688 0.884
Learning and promotion opportunity 5 0.551 0.808
Leadership style 5 0.611 0.850
Workplace relationship 5 0.528 0.853
Working environment 5 0.609 0.856
Job stability 5 0.641 0.860
Care and recognition 5 0.590 0.869
Empowerment 5 0.587 0.898
Work-life balance 4 0.742 0.774
Work motivation 5 0.679 0.887
Source: Survey data, 2021
4.2. Exploratory factor analysis (EFA)
For independent variables, the EFA is implemented twice that achieving these results: (1) Reliability of observed
variables (Factor loading > 0.5). (2) Test the suitability of the model (0.5 < KMO = 0.752 < 1.0). (3) Bartlett's test
on correlation of observed variables (Sig. = 0.00 < 0.05). (4) Cumulative variance test achieves 66.63% > 50%
(Anderson and Gerbing, 1988). The variable LP3 (with factor loading < 0.5) is excluded from themodel becauseit
does not meet the significance requirement (Hair et al., 1998). The results haveformed ten factors with Eigenvalue
= 1.5 and there is no variable disturbance between factors, so the names of the factors remain the same. Similarly,
the results of EFA for the dependent variable give satisfactory results: The significance level of the model (Sig) is
less than 0.05, KMO value = 0.874 in the range from 0 to 1, factor loading of variables are all greater than 0.5. The
total variance explained reaches 68.8% > 50%. This confirms that the study data are consistent (Anderson and
Gerbing, 1988). As a result, the analysis forms one factor, which is work motivation. All factors are shown in the
table below.
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1178
Table 3: Factors formed from the EFA result
Sign Observed variables Factor
IB 5 variables Income and benefit
WN 5 variables Work nature
LP 4 variables Learning and promotion opportunities
LS 5 variables Leadership style
WR 5 variables Workplace relationship
WE 5 variables Working environment
JS 5 variables Job stability
CR 5 variables Care and recognition
EM 5 variables Empowerment
WL 4 variables Work-life balance
WM 5 variables Work motivation
Source: Survey data, 2021
4.3. Multivariate linear regression
According to the result in table 4, the significance level (Sig.F = 0.00) is much smaller than the α = 5% level, so
the regression model is set up appropriately. The adjusted R2
value is 66.1%, which proves that the independent
variables explain the variation of work motivation at a high level. The Durbin-Watson test has a value of 2.039
meaning that the model does not have autocorrelation (Trong and Ngoc, 2008). Besides, the variance inflation
factor (VIF) of the variables are all less than 10, so the multicollinearity is not significant (Nam, 2008).
Table 4: Multivariate linear regression result
Factor
Standardized
coefficient
Significance
level(Sig.)
Variance inflation
factor VIF
Hypothesis
Income and benefit 0.267 0.000 1.589 H1: accepted
Work nature 0.119 0.004 1.251 H2: accepted
Learning and promotion opportunities 0.292 0.000 1.390 H3: accepted
Leadership style 0.130 0.003 1.351 H4: accepted
Workplace relationship 0.110 0.016 1.510 H5: accepted
Working environment 0.136 0.001 1.268 H6: accepted
Job stability 0.090 0.042 1.437 H7: accepted
Care and recognition 0.164 0.000 1.111 H8: accepted
Empowerment 0.095 0.017 1.135 H9: accepted
Work-life balance 0.079 0.051 1.179 H10: rejected
(Sig.F)= 0.000; Adjusted R2
= 0.661; Durbin-Watson = 2.039
Source: Survey data, 2021
Based on the result table, there are nine accepted research hypotheses. This means the work motivation of
employees at credit organizations is influenced by the following factors: income and benefit, nature of work,
learning and promotion opportunity, leadership style, workplace relationship, working environment, job
stability, care and recognition, and empowerment. All nine factors have positive impacts on the work motivation
of credit staff. In particular, the learning and promotion opportunity factor has the most impact on their work
motivation. The actual survey shows that employees at credit institutions are concerned about training programs
to improve their professional qualifications and develop their careers. Therefore, managers of credit institutions
shouldfocus on the learning and promotion opportunities to better motivate employees.
5. CONCLUSION
In general, the study has achieved the set goal which
is to identify the factors affecting the work motivation
of employees at credit institutions in Ham Thuan Bac
District. The study has found out nine positive
affecting factors to employee motivation at credit
institutions, including income and benefit, nature of
work, opportunities for learning and promotion,
leadership style, workplace relationship, working
environment, job stability, care and recognition, and
empowerment. In which, the factor of learning and
promotion opportunities has the strongest influence
on credit employees. The research results are a
helpful scientific basis to help managers at credit
institutions develop action programs to improve
employees’ motivation in the future.
References
[1] Akhtar, N., Aziz, S., Hussain, Z., Ali, S., &
Salman, M. (2014). Factors affecting employee
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1179
motivation in the banking sector of Pakistan.
Journal of Asian Business Strategy, 4(10), 125-
133.
[2] Anderson, J. C., & Gerbing, D. W. (1988).
Structural Equation Modeling in Practice: A
Review and Recommended Two-Step
Approach. Psychological Bulletin, 103(3), 411-
423.
[3] Barzoki, A. A., Attafar, A., & Jannati, A. R.
(2012). An analysis of factors affecting the
employee motivation based on Herzberg's
hygiene factors theory (the study Golpayegan
city Saipa corporation industrial complex's
staff). Australian Journal of Basic and Applied
Sciences, 6(8), 115-123.
[4] Bedeian, A. G. (1993). Management (3rd
ed.).
New York: Dryden Press.
[5] Carr, G. G. (2005). Investigating the motivation
of retail managers at a retail organization in
the Western Cape (Doctoral dissertation,
University of the Western Cape).
[6] Dung, N. K. (2020). Factors affecting work
motivation of bank staff: a case study at
Agribank, Can Tho Branch. Financial and
Monetary Market Review, 14.
[7] Hair, J. F., Tatham, R. L., Anderson, R. E., &
Black, W. C. (1998). Multivariate Data
Analysis (5th
ed.). New Jersey: Prentice-Hall.
[8] Herzberg, F., Mausner, B., & Snyderman, B. B.
(1959). The Motivation to Work (2nd
ed.). New
York: John Wiley & Sons.
[9] Khan, A., Ahmed, S., Paul, S., & Kazmi, S. H.
A. (2017). Factors affecting employee
motivation towards employee performance: A
study on the banking industry of Pakistan. In
International conference on management
science and engineering management (pp. 615-
625). Springer, Cham.
[10] Kovach, K. A. (1987). What motivates
employees? Workers and supervisors give
different answers. Business Horizons, 30(5),
58-65.
[11] McClelland, D. C. (1987). Human motivation.
Cambridge: Cambridge University Press.
[12] Nam, M. V. (2008). Econometrics. Hanoi:
Culture and Information Publishing House.
[13] Nunnally, J. (1978). Psychometric Theory. New
York: McGraw-Hill.
[14] Nunnally, J., & Bernstein, I. H. (1994).
Psychometric theory (3rd
ed.). New York:
McGraw-Hill.
[15] Peterson, R. A. (1994). A meta-analysis of
Cronbach's coefficient alpha. Journal of
consumer research, 21(2), 381-391.
[16] Pinder, C. C. (2014).Work Motivation
inOrganizational Behavior. London:
Psychology Press.
[17] Quan, N. N., & Diem, N. V. (2007). Human
Resource Management Course. Hanoi:National
Economics University Publishing House.
[18] Slater, S. F. (1995). Issues in conducting
marketing strategy research. Journal of
Strategic Marketing, 3(4), 257-270.
[19] Tabachnick, B. G., & Fidell, L. S. (2007).
Using Multivariate Statistics (5th
ed.). New
York: Allyn and Bacon.
[20] Trong, H., & Ngoc, C. N. M. (2008). Data
analysis with SPSS. Hanoi: Statistical
Publishing House.
[21] Vroom, V. (1964). Work and Motivation. New
York: Wiley.

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Factors Affecting Work Motivation of Official Credit Staff in Ham Thuan Bac District, Binh Thuan Province

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1174 Factors Affecting Work Motivation of Official Credit Staff in Ham Thuan Bac District, Binh Thuan Province Nguyen Truong Thuan1 , Nguyen Quoc Nghi2 , Dinh Hoang Anh Tuan1 1 Phan Thiet University, Phan Thiet, Vietnam 2 Can Tho University, Can Tho, Vietnam ABSTRACT This study inherits and develops the Kovach model (1987), also references researches related to employee motivation to find out factors affecting the work motivation of staff working at official credit institutions in Ham Thuan Bac district, Binh Thuan province. Research data are collected from 176 employees working at official credit institutions by convenient sampling. Applying exploratory factor analysis and multivariate linear regression, the study has demonstrated impacting factors to employee motivation. They include learning and promotion opportunities, income and benefit, care and recognition, working environment, leadership style, nature of work, workplace relationship, empowerment, and job stability. Especially, the factor of learning and promotion opportunities has the most influence on the working motivation of official credit employees in Ham Thuan Bac district, Binh Thuan province. KEYWORDS: work motivation, credit organization, employee How to cite this paper: Nguyen Truong Thuan | Nguyen Quoc Nghi | Dinh Hoang Anh Tuan "Factors Affecting Work Motivation of Official Credit Staff in Ham Thuan Bac District, Binh Thuan Province" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6, October 2021, pp.1174-1179, URL: www.ijtsrd.com/papers/ijtsrd47529.pdf Copyright © 2021 by author (s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0) 1. PROBLEM STATEMENT In the era of industry 4.0, most businesses consider human resource quality as their priority. The market is moving towards digital transformation and enterprises are concerned about investing in technology as well as service quality. However, if the quality of human resources does not meet certain demands, the investment in technology or service quality is not meaningful. How to properly exploit the available human resources to develop the business is an urgent issue for human resource managers. Work motivation is one of the most significant factors. Self-conscious workers with strong motivation have the strength to overcome obstacles and complete the assigned tasks. This helps improve work efficiency and contributes to the success of the organization. Therefore, work motivation and factors affecting the work motivation need to be focused on, thereby building an appropriate management model which brings higher efficiency to the enterprise. Human resource quality reflects the stability, development, and safety of the whole banking system. Motivating employee plays an essential role in improving the bank's performance in the fierce competition context. Therefore, researchingthe factors affecting employee motivation in banks is necessary. It is because this will be the basis for managers to arouse and maintain the motivation for employees, above all retain top talents. Hence, the study of factors affecting the work motivation of employees at official credit institutions in Ham Thuan Bac district, Binh Thuan province was implemented. 2. THEORETICAL FRAMEWORK AND RESEARCH HYPOTHESES According to Herzberg (1959), work motivation is a psychological process arising from the excitement, direction, and perseverance to achieve individual and organizational goals. Work motivation is the voluntary, desire, and effort to work which helps employees achieve personal goals, thereby acquiring IJTSRD47529
  • 2. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1175 the organization’s objectives (Bedeian 1993). Motivation is an internal impulse, based on the basic conscious and unconscious needs of an individual which forces them to work towards the goals (Carr, 2005). In a study in 2007, Quan and Diem stated that work motivation is the desire and willingness of employees to increase efforts to achievecollective goals. Pinder (2014) argued that work motivation is a combination of powerful energies originating both internally and externally that performs work-related behaviors, determines the direction, intensity, and duration of the work. Based on the theoretical basis and research models related to the motivation of employees (Kovach, 1987; Herzberg, 1959; Vroom, 1964; McClelland (1987), the study proposes a model of factors influencing the work motivation of employees at official credit institutions in Ham Thuan Bac district, Binh Thuan province. The model includes ten factors: income and benefit, nature of work, learning and promotion opportunity, leadership style, workplace relationship, working environment, job stability, care and recognition, empowerment, work-life balance. The authors use group discussions (qualitative research) with experts and staff working at official credit institutions in Ham Thuan Bac district to collect data. Thediscussion result creates research hypotheses and appropriate scales for the research model, so the model is established as follows: Figure 1: Proposed research model Table 1: Interpretation of observed variables in the research model Factor Observed variables Sign Reference resources Income and benefit Salary and welfare policies are decentralized. IB1 Khan et al. (2017), Dung (2020) The current salary is commensurate with employees’ ability. IB2 Rewards are commensurate with their contributions and dedication. IB3 Insurance and working allowance are reasonable. IB4 Good policies of sick leave, maternity leave, annual leave, etc. IB5 Work nature Work is arranged appropriately with the employees’ capacity and strengths. WN1 Akhtar et al. (2014) Employees understand the work they are responsible for. WN2 Employees have the right to make decisions about their work issues. WN3 The job requires employees to make good use of their abilities. WN4 The job requires employees to learn and improve skills to ensure effective work. WN5 Learning and promotion opportunity Employees participate in training programs to enhance their professional skills. LP1 Dung (2020) Employees participate in other training programs. LP2 Top employees have promotion opportunities. LP3 Employees have opportunities for career development. LP4 The bank provides good conditions to improve professional qualifications for employees (exchange programs, knowledge improvement activities, etc) LP5 Income and benefit Work nature Learning and promotion opportunity Leadership style Working environment Job stability Work-life balance Work motivation Workplace relationship Care and recognition Empowerment
  • 3. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1176 Leadership style Managers always respect and trust their employees. LS1 Akhtar et al. (2014) Managers always treat employees fairly without discrimination. LS2 Employees easily communicate with their managers. LS3 Managers always acknowledge the employees’ contributions. LS4 Managers have high ability, strategic vision, and executive skills. LS5 Workplace relationship Colleagues always share knowledge and experience at work. WR1 Barzokiet al.(2012) Colleagues are friendly and open. WR2 Coordination and cooperation between employees take place in a positive and effective direction. WR3 Colleagues always support each other. WR4 The staff is willing to cooperate working as a team. WR5 Working environment Office and outside working time is arranged reasonably and scientifically. WE1 Khan et al. (2017), Dung (2020) Full working facilities and equipment. WE2 The workplace is safe and secure. WE3 Employees are supported to travel to work (vehicle, travel expenses) WE4 The performance evaluation criteria are clear and public. WE5 Job stability The staff finds their current job is stable. JS1 Dung (2020) The staff is not worried about unemployment. JS2 The bank guarantees the number of working hours for employees according to the current regulations. JS3 Employees have clear labor contracts with the bank. JS4 The bank issues the job guarantee policy for employees. JS5 Care and recognition Managers recognize staff's achievements at work. CR Akhtar et al. (2014) Managers timely reward employees with high performance. CR2 Managers fairly evaluate employees’ performance. CR3 Managers use performance appraisals as a mechanism to control employees’ performance. CR4 Managers always encourage employees at work. CR5 Empowerment The bank allows employees to make decisions related to their work. EM1 Akhtar et al. (2014), Khan et al. (2017), Managers encourage employees to make decisions related to the bank’s operation. EM2 Employees can give ideas to develop the bank. EM3 The bank listens to employees before making decisions. EM4 The bank collects feedback from employees regularly. EM5 Work-life balance The working schedules can be arranged flexibly. WL1 Barzokiet al.(2012) Employees have time for their families. WL2 Employees have time for personal-care activities. WL3 Employees are not worried about family-related issues when they come to work. WL4 Work motivation Employees feel excited doing their current job. WM1 Akhtar et al. (2014), Khan et al. (2017), Dung (2020) Employees usually work in the best mood. WM2 Employees feel motivated with their job duties. WM3 Employees want to spend more time at work. WM4 The work in charge means a lot to employees. WM5 Source: Authors’ proposal, 2021
  • 4. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1177 3. RESEARCH METHODOLOGY 3.1. Analytical method The study uses convenient sampling to survey 176 employees working at official credit organizations in Ham Thuan Bac district, Binh Thuan province. According to Hair et al. (1998), to meet the requirement of the EFA, the observations/measurement variable proportion needs to be 5/1 which means one measurement variable requires five observations in minimum. Tabachnick and Fidell (2007) showed the suitable sample size for regression analysis should be N ≥ 50 + 5*m (m is the number of independent variables). To conclude, the sample size of the study meets the requirements for the research hypothesis test. 3.2. Data collection method The analytical methods used to test the research hypotheses include testing the reliability of the scales by Cronbach's alpha coefficient, êxploratory factor analysis, and multivariate linear regression. The analysis is carried out in the following three-step sequence. Step 1: Use Cronbach's alpha coefficient to test the correlation between observed variables. Step 2: Use exploratory factor analysis (EFA) to test the convergent and discriminant validity of variables. Step 3: Use multivariate linear regression to test the research hypotheses. 4. RESEARCH RESULTS AND DISCUSSION 4.1. Test the reliability of scales The scale reliability is evaluated by Cronbach's alpha coefficient. Cronbach's alpha coefficient helps eliminate "trash" variables. Those with item-total correlation values less than 0.3 are excluded (Nunnally, 1978; Peterson, 1994; Slater, 1995) and the scale is selected if its Cronbach's alpha coefficient is greater than 0.6 (Nunnally & Bernstein, 1994). The analysis results in table 2 show that all scales have high reliability (α ≥ 0.7). Also, all observed variables item-total correlation higher than 0.5. Therefore, all scales can be used in the exploratory factor analysis (EFA). Table 2: Reliability test of scales Factor Number of observed variables Min item-total correlation Cronbach's alpha Income and benefit 5 0.617 0.857 Work nature 5 0.688 0.884 Learning and promotion opportunity 5 0.551 0.808 Leadership style 5 0.611 0.850 Workplace relationship 5 0.528 0.853 Working environment 5 0.609 0.856 Job stability 5 0.641 0.860 Care and recognition 5 0.590 0.869 Empowerment 5 0.587 0.898 Work-life balance 4 0.742 0.774 Work motivation 5 0.679 0.887 Source: Survey data, 2021 4.2. Exploratory factor analysis (EFA) For independent variables, the EFA is implemented twice that achieving these results: (1) Reliability of observed variables (Factor loading > 0.5). (2) Test the suitability of the model (0.5 < KMO = 0.752 < 1.0). (3) Bartlett's test on correlation of observed variables (Sig. = 0.00 < 0.05). (4) Cumulative variance test achieves 66.63% > 50% (Anderson and Gerbing, 1988). The variable LP3 (with factor loading < 0.5) is excluded from themodel becauseit does not meet the significance requirement (Hair et al., 1998). The results haveformed ten factors with Eigenvalue = 1.5 and there is no variable disturbance between factors, so the names of the factors remain the same. Similarly, the results of EFA for the dependent variable give satisfactory results: The significance level of the model (Sig) is less than 0.05, KMO value = 0.874 in the range from 0 to 1, factor loading of variables are all greater than 0.5. The total variance explained reaches 68.8% > 50%. This confirms that the study data are consistent (Anderson and Gerbing, 1988). As a result, the analysis forms one factor, which is work motivation. All factors are shown in the table below.
  • 5. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1178 Table 3: Factors formed from the EFA result Sign Observed variables Factor IB 5 variables Income and benefit WN 5 variables Work nature LP 4 variables Learning and promotion opportunities LS 5 variables Leadership style WR 5 variables Workplace relationship WE 5 variables Working environment JS 5 variables Job stability CR 5 variables Care and recognition EM 5 variables Empowerment WL 4 variables Work-life balance WM 5 variables Work motivation Source: Survey data, 2021 4.3. Multivariate linear regression According to the result in table 4, the significance level (Sig.F = 0.00) is much smaller than the α = 5% level, so the regression model is set up appropriately. The adjusted R2 value is 66.1%, which proves that the independent variables explain the variation of work motivation at a high level. The Durbin-Watson test has a value of 2.039 meaning that the model does not have autocorrelation (Trong and Ngoc, 2008). Besides, the variance inflation factor (VIF) of the variables are all less than 10, so the multicollinearity is not significant (Nam, 2008). Table 4: Multivariate linear regression result Factor Standardized coefficient Significance level(Sig.) Variance inflation factor VIF Hypothesis Income and benefit 0.267 0.000 1.589 H1: accepted Work nature 0.119 0.004 1.251 H2: accepted Learning and promotion opportunities 0.292 0.000 1.390 H3: accepted Leadership style 0.130 0.003 1.351 H4: accepted Workplace relationship 0.110 0.016 1.510 H5: accepted Working environment 0.136 0.001 1.268 H6: accepted Job stability 0.090 0.042 1.437 H7: accepted Care and recognition 0.164 0.000 1.111 H8: accepted Empowerment 0.095 0.017 1.135 H9: accepted Work-life balance 0.079 0.051 1.179 H10: rejected (Sig.F)= 0.000; Adjusted R2 = 0.661; Durbin-Watson = 2.039 Source: Survey data, 2021 Based on the result table, there are nine accepted research hypotheses. This means the work motivation of employees at credit organizations is influenced by the following factors: income and benefit, nature of work, learning and promotion opportunity, leadership style, workplace relationship, working environment, job stability, care and recognition, and empowerment. All nine factors have positive impacts on the work motivation of credit staff. In particular, the learning and promotion opportunity factor has the most impact on their work motivation. The actual survey shows that employees at credit institutions are concerned about training programs to improve their professional qualifications and develop their careers. Therefore, managers of credit institutions shouldfocus on the learning and promotion opportunities to better motivate employees. 5. CONCLUSION In general, the study has achieved the set goal which is to identify the factors affecting the work motivation of employees at credit institutions in Ham Thuan Bac District. The study has found out nine positive affecting factors to employee motivation at credit institutions, including income and benefit, nature of work, opportunities for learning and promotion, leadership style, workplace relationship, working environment, job stability, care and recognition, and empowerment. In which, the factor of learning and promotion opportunities has the strongest influence on credit employees. The research results are a helpful scientific basis to help managers at credit institutions develop action programs to improve employees’ motivation in the future. References [1] Akhtar, N., Aziz, S., Hussain, Z., Ali, S., & Salman, M. (2014). Factors affecting employee
  • 6. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD47529 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 1179 motivation in the banking sector of Pakistan. Journal of Asian Business Strategy, 4(10), 125- 133. [2] Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411- 423. [3] Barzoki, A. A., Attafar, A., & Jannati, A. R. (2012). An analysis of factors affecting the employee motivation based on Herzberg's hygiene factors theory (the study Golpayegan city Saipa corporation industrial complex's staff). Australian Journal of Basic and Applied Sciences, 6(8), 115-123. [4] Bedeian, A. G. (1993). Management (3rd ed.). New York: Dryden Press. [5] Carr, G. G. (2005). Investigating the motivation of retail managers at a retail organization in the Western Cape (Doctoral dissertation, University of the Western Cape). [6] Dung, N. K. (2020). Factors affecting work motivation of bank staff: a case study at Agribank, Can Tho Branch. Financial and Monetary Market Review, 14. [7] Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. C. (1998). Multivariate Data Analysis (5th ed.). New Jersey: Prentice-Hall. [8] Herzberg, F., Mausner, B., & Snyderman, B. B. (1959). The Motivation to Work (2nd ed.). New York: John Wiley & Sons. [9] Khan, A., Ahmed, S., Paul, S., & Kazmi, S. H. A. (2017). Factors affecting employee motivation towards employee performance: A study on the banking industry of Pakistan. In International conference on management science and engineering management (pp. 615- 625). Springer, Cham. [10] Kovach, K. A. (1987). What motivates employees? Workers and supervisors give different answers. Business Horizons, 30(5), 58-65. [11] McClelland, D. C. (1987). Human motivation. Cambridge: Cambridge University Press. [12] Nam, M. V. (2008). Econometrics. Hanoi: Culture and Information Publishing House. [13] Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill. [14] Nunnally, J., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill. [15] Peterson, R. A. (1994). A meta-analysis of Cronbach's coefficient alpha. Journal of consumer research, 21(2), 381-391. [16] Pinder, C. C. (2014).Work Motivation inOrganizational Behavior. London: Psychology Press. [17] Quan, N. N., & Diem, N. V. (2007). Human Resource Management Course. Hanoi:National Economics University Publishing House. [18] Slater, S. F. (1995). Issues in conducting marketing strategy research. Journal of Strategic Marketing, 3(4), 257-270. [19] Tabachnick, B. G., & Fidell, L. S. (2007). Using Multivariate Statistics (5th ed.). New York: Allyn and Bacon. [20] Trong, H., & Ngoc, C. N. M. (2008). Data analysis with SPSS. Hanoi: Statistical Publishing House. [21] Vroom, V. (1964). Work and Motivation. New York: Wiley.