Journal of International Trade, Logistics and Law, Vol. 7, Num. 1, 2021, 105-112 

 

105 
 

 

THE EFFECT OF ORGANIZATIONAL COMMITMENT ON FIRM 

PERFORMANCE: INTERGENERATIONAL DIFFERENCES 

 
Muhammed Erdem SALAMCİ 
Istanbul Commerce University, Turkey 

 

Okşan KİBRİTÇİ ARTAR 
Istanbul Commerce University, Turkey 

 
 

Received: Feb 02, 2021        Accepted:  May 30, 2021          Published: June 15, 2021 

 
Abstract: 
The main purpose of this research is to determine the effects of the sub-dimensions of organizational commitment (affective, continuance, 
and normative) on the concept of firm performance. Another aim of the study is to determine whether the sub-dimensions of organizational 
commitment differ in intergenerational. Within the scope of this aim, employees in banking sector were identified as “population”. This 
survey was applied to 209 employees in the banking sector in April 2021. Survey results were analyzed by the SPSS-20 program. As a 
result of the analysis, it was determined that affective commitment does not have a significant effect on firm performance. It has been shows 
that continuance commitment has a negative and significant effect on firm performance. Also, normative commitment has a posit ive and 
significant effect on firm performance. Finally, it was concluded that there was no difference in the affective commitment, continuance 
commitment, and normative commitment levels of bank employees belonging to the X and Y generations. 

Keywords: 
Organizational Commitment, Firm Performance, Intergenerational Differences 
 

1. Introduction  
Today's technological development and competitive environment have made the concept of organizational 
commitment very important in the sustainability of organizations and in the ability to take steps towards the future. 
Employees need to keep up and adapt to the economic, political and cultural reforms that are taking place rapidly in 
the banking sector or other sectors. In such an environment, the concept of organizational commitment, which has 
an effect on the behavior and values of employees, becomes more important.  
The concept of organizational commitment is one of the concepts that researchers show the most interest and 
relevance among contemporary managerial concepts. This concept has been the subject of research in many 
countries, especially in the United States. Nowadays, Turkish researchers have done many studies on this concept. In 
these studies, the topic of organizational commitment has often been associated with another concept. In this study, 
firm performance and intergenerational differences concepts were examined along with the concept of organizational 
commitment. In this context, the effect of the sub-dimensions of organizational commitment (affective, continuance, 
and normative) on firm performance was examined in the banking sector. It was also determined whether the 
concept of organizational commitment differed in intergenerational. 
 

2. Basic Concepts Related to Organizational Commitment 
2.1. Organizational Commitment Concept 
Organization is defined as “a union formed by institutions or persons who have come together to achieve a common 
goal or work” in the dictionary of the Turkish Language Association (TDK Sözlükleri, 2020). According to another 
definition, organization is expressed as social units established to achieve certain goals (Etzioni, 1964).  
Commitment means “to feel affection, respect, closeness, and loyalty towards someone” in the dictionary of the 
Turkish Language Association (TDK Sözlükleri, 2020). It is also defined as an obligation to show commitment to a 



 Muhammed Erdem SALAMCİ & Okşan KİBRİTÇİ ARTAR 

 

106 
 

person, a thought, an institution, something that we see as greater than ourselves (Ardıç and Çöl, 2008). According 
to Salancik (1977), commitment is the identification of one's own behavior with another person. 
Organizational commitment is expressed as an individual's approach to an organization based on their psychological 
state (Allen and Meyer, 1990). According to another statement, organizational commitment is expressed as the 
attitude of the employee towards his / her organization. Also, it is said as the integration of the organization and the 
employee (Sheldon, 1971; Hall et al., 1970). 
 

3. Basic Concepts Related to Firm Performance 
3.1. Firm Performance Concept 
The concept of firm performance is often encountered in studies related to management. This concept is mostly 
preferred as the dependent variable in the models of theses. Although it is a concept that has been emphasized too 
much in the literature, there is no consensus on its definition and measurement (Taouab and Issor, 2019). 
Firm performance is defined as the achievement of the economic targets of the enterprises (Venkatraman and 
Ramanujam, 1986). According to another definition, firm performance is the ability to achieve goals determined as a 
result of the effective and efficient use of inputs (Tül and Çemberci, 2019). 
Firm performance measurements help to show the degree to which predetermined goals are being approached. It 
also reveals what businesses need to be sustainable and competitive (Griffin, 2003). 
 

4. Basic Concepts Related to Intergenerational Differences 
4.1. Generation Concept 
The generation is defined as “the community of people who were born in approximately the same years and who 
shared the conditions of the same age, thus similar troubles and destinies” in the Philosophical Sciences Dictionary 
of the Turkish Language Association (TDK Sözlükleri, 2020). This concept also is expressed as “individuals who 
form approximately 25–30 years age groups: cluster, belly, generation and abdomen” in the social science dictionary 
of the Turkish Language Association (TDK Sözlükleri, 2020).  
Nowadays, it is accepted that there are five generations with different characteristics. These generations in the 
literature; It has been named the Silent Generation, Baby Boomers, Generation X, Generation Y, and Generation Z. 
It is stated that these generations work together in organizational environments in literature. However, it is said that 
many of the representatives of the Silent Generation and Baby Boomers retire due to their aging. Also, it is stated 
that members belonging to Generation z are not present in organizations due to their young age. 
 

5. Methodology  
5.1. Population and Sampling 
The population of the research is those working in the banking sector in Turkey. According to the data announced 
by the Banks Association of Turkey in September 2020, the number of people working in the banking sector in 
Turkey is 186.654. In this context, the population of the research is 186.654 workers. The sample of the study was 
determined to be at least 196 people with a 95% confidence interval and 7% margin of error, based on 186 thousand 
654 employees, which are considered as the population. 
213 people participated in the survey. But the survey of 4 participants was deemed invalid. The participation of 209 
people in the sample, which was determined as at least 196 people, makes the sample reliable. 
 
5.2. Model and Hypothesis 
The model of the research consists of three independent and one dependent variable. Affective commitment, 
continuance commitment, and normative commitment are the independent variables, while firm performance is the 
dependent variable. The model of the research is shown in Figure 1 below. 
 
 
 
 
 
 



The Effect of Organizational Commitment on Firm Performance: Intergenerational Differences  

 

107 
 

 
 

Figure 1 Model of Research 
 
The research is based on three main hypotheses: 
H1: Affective commitment has a negative effect on firm performance. 
H2: Continuance commitment has a negative effect on firm performance. 
H3: Normative commitment has a positive effect on firm performance. 
 
5.3. Data Analysis Techniques 
The demographic information of the employees was determined by frequency analysis. Factor analysis was 
conducted to determine the factors of the scale. Cronbach's alpha method was used to determine the reliability levels 
of the factors. The arithmetic mean and standard deviation of each factor were taken to determine the participants' 
approach to the questions. Independent sample T-test tests were conducted to test whether affective commitment, 
continuance commitment, and normative commitment levels differ on the X and Y generations. Multiple regression 
method was used to determine the effect of organizational commitment on firm performance. (Note: Analyzes were 
made in the SPSS-20 program.) 
 

6. Results of Statistical Analysis 
In this section, the statistical analysis of the data obtained from the survey has been made. While doing the analysis, 
it was made in line with the references in the literature. Frequencies analysis, factor analysis, reliability analysis, 
descriptive statistics, independent-sample t-test, and multiple regression were applied, respectively. They are 
explained below: 
 
6.1. Frequencies Analysis 
Frequency analysis is a statistical analysis technique that shows the observation frequency and percentage distribution 
of data. Demographic characteristics and survey items can be evaluated by frequency analysis (Bayrak, 2019). 
Accordingly, Frequency analysis was performed that the demographic characteristics of the participants such as 
gender, year of birth, education, experience in the industry, and length of service at his current organization. The 
results are in Table 1 below: 

Affective 

Commitment 

Continuance 

Commitment 

Normative 

Commitment 

Firm 

Performance 
H2 

Organizational Commitment 



 Muhammed Erdem SALAMCİ & Okşan KİBRİTÇİ ARTAR 

 

108 
 

Table 1 Demographic Characteristics of the Participants 

   

Frequency (N) 

 

Percent (%) 

 

Gender 

Female 40 19,1 

Male 169 80,9 

Total 209 100,0 

 

Year of Birth 

1965-1980 (Gen X) 31 14,8 

1981-1999 (Gen Y) 178 85,2 

Total 209 100,0 

 

 

Education 

 

High School 10 4,8 

Associate degree 1 0,5 

Bachelor's degree 149 71,3 

Master's/Doctor’s degree 49 23,4 

Total 209 100,0 

 

 

Experience in the 

Industry 

Less than 1 year 7 3,3 

1-5 years 44 21,1 

6-10 years 62 29,7 

11-15 years 79 37,8 

More than 16 years 17 8,1 

Total 209 100,0 

 

 

Length of Service at 

His Current 

Organization 

Less than 1 year 12 5,7 

1-5 years 50 23,9 

6-10 years 66 31,6 

11-15 years 66 31,6 

More than 16 years 15 7,2 

Total 209 100,0 

 
6.2. Factor Analysis 
KMO and Bartlett's test was used to test whether the variables in the survey are suitable for factor analysis. As KMO 
coefficient approaches 1, it means that the data obtained are suitable for factor analysis. Besides, when KMO 
coefficient is 1, it means that the survey is quite suitable for factor analysis. According to Erkasap (2020) if the KMO 
coefficient is greater than 0,60 and the significance level of Bartlett complies with the p <0,05 rule, it means that the 
data in the survey are suitable for factor analysis.  
As a result of the analysis, the KMO value was found to be 0,866 and the significance level of Bartlett to be 0,000. 
The KMO coefficient was higher than the given reference value and Bartlett's level of significance was lower than p 
<0,05. In this context, the scale of this research is accepted to be suitable for factor analysis. After determining the 
suitability of the data for factor analysis, Varimax with Kaiser Normalization factor analysis was performed. While 



The Effect of Organizational Commitment on Firm Performance: Intergenerational Differences  

 

109 
 

obtaining the result of factor analysis, principal component analysis was used as extraction method and Varimax with 
Kaiser Normalization was used as rotation method.  
The fact that the value of each item obtained from factor analysis is above 0,50 indicates that the scale is a reliable 
scale (Erkasap, 2020). However, as a result of the analysis, the value of 5 items in the scale was less than 0,50, so 
these five questions were removed from the survey and after that factor analysis has been done again. 
As a result of the factor analysis, it was observed that there were 4 factors. These factors are firm performance, 
normative commitment, continuance commitment, and affective commitment respectively. In addition, as a result of 
the factor analysis, firm performance, normative commitment, continuance commitment and affective commitment 
factors explain 66,896% of the total variance. 
 
6.3. Reliability Analysis 
Cronbach's Alpha coefficient is accepted as a measure of the internal consistency of the items in the scale and is used 
to question or interpret the homogeneity of the items in the scale (Yıldız and Uzunsakal, 2018). The results of 
Cronbach's Alpha test are given in Table 2 below: 
 

Table 2 Results of Cronbach’s Alpha test 

Factor Cronbach’s Alpha N of Items 

Firm Performance 0,951 13 

Normative Commitment 0,791 4 

Continuance Commitment 0,799 5 

Affective Commitment 0,893 3 

 
As seen in Table 2, Cronbach's Alpha Coefficient was found to be 0,951 for firm performance, 0,791 for normative 
commitment, 0,799 for continuance commitment, and 0,893 for affective commitment. In this context, firm 
performance and affective commitment factors were accepted as “highly reliable”. Normative commitment and 
continuance commitment factors were accepted as “reliable”. 
 
6.4. Descriptive Statistics 
In this section, the mean and standard deviation of each sub-dimension were calculated to determine the levels of the 
factors. The mean and standard deviation of firm performance, normative commitment, continuance commitment 
and affective commitment factors are given in Table 3 below: 
 

Table 3 Mean and standard deviations of the factors 

Factor Mean Standard deviation N of Items 

Firm Performance 2,97 0,91 13 

Normative Commitment 3,39 0,94 4 

Continuance Commitment 3,24 0,98 5 

Affective Commitment 3,65 1,27 3 

 
6.5. Independent Sample T- Test  
In this part of the study, the independent sample T-test was used to examine whether the factors of normative 
commitment, continuance commitment, and affective commitment differ on generations X and Y. 
Levene’s test is used to test the homogeneity of variances in the independent sample t-test. H0 hypothesis means 
there is no difference between variances, and Ha hypothesis means that there are differences between variances. If p 
<0,05, the H0 hypothesis is rejected. But if p> 0,05, the H0 hypothesis is accepted, so we can conclude that the 
variances are homogeneous (Tirendaz Akademi, 2019).  



 Muhammed Erdem SALAMCİ & Okşan KİBRİTÇİ ARTAR 

 

110 
 

When you do the independent sample t-test, you should look at the significance (2-tailed) part to learn the result of 
the analysis. If the significance (2-tailed)> 0,05, the averages obtained in the sample groups are considered to be 
equal to each other. However, if the significance (2-tailed) <0,05, it is accepted that the averages obtained in the 
sample groups are not equal to each other (Arslan, 2020).  
In this context, the results of the independent sample t-test are given in the table 4 below: 
 

Table 4 Results of Independent Sample T-Test 

 

Factor 

Levene’s Test for Equality of Variances T-test for Equality of Means 

Sig. Sig. (2- tailed) 

Normative Commitment ,125 ,058 

Continuance Commitment ,232 ,644 

Affective Commitment ,237 ,649 

 
According to results of Levene in Table 4, It was accepted that variances were homogeneously distributed in the 
levels of normative commitment, continuance commitment and affective commitment. 
According to results of T-Test in Table 4, It has been concluded that there is no difference in normative 
commitment, continuance commitment and affective commitment levels among bank employees belonging to the X 
and Y generations. 
 
6.6. Multiple Regression and Hypothesis Tests 
Multiple regression analysis was conducted to test the hypotheses of the research. Effects of the independent 
variables on the dependent variable were examined in the regression analysis. Affective commitment, continuance 
commitment, and normative commitment are the independent variables, while firm performance is the dependent 
variable. The results of the regression analysis are given in Table 5 below: 
 

Table 5 Results of Regression Analysis 

Independent variables β Sig. 

Affective Commitment -,047 ,333 

Continuance Commitment -,127 ,050 

Normative Commitment ,341 ,000 

Dependent variable: Firm performance, F= 8,704   Sig= ,000    R2 = 0,113 

 
According to the regression results in Table 5, it is accepted that the model is significant as a whole (F = 8,704, sig 
<0,05). The firm performance variable of affective commitment, continuance commitment, and normative 
commitment variables explain 11,3% (R2= 0,113).  
As a result of the analysis, it was determined that affective commitment does not have a significant effect on firm 
performance (β= -,047, sig.=,333). It has been determined that continuance commitment has a negative and 
significant effect on firm performance (β= -,127, sig.=,050). Normative commitment has a positive and significant 
effect on firm performance (β= ,341 sig.=,000). In this context, while H2 and H3 are supporting, there is no 
evidence for the accuracy of H1. 
 
 
 
 
 



The Effect of Organizational Commitment on Firm Performance: Intergenerational Differences  

 

111 
 

Table 6 Results of Hypotheses 

Hypotheses Results 

H1: Affective commitment has a negative effect on firm performance. Not Accepted 

H2: Continuance commitment has a negative effect on firm performance. Accepted 

H3: Normative commitment has a positive effect on firm performance. Accepted 

 

7. Conclusions 
The aim of the research is to examine the effect of organizational commitment on firm performance in the banking 
sector. Another aim of the research is to determine whether organizational commitment differs generations. Also, it 
is to examine demographic variables such as gender, education level, experience in the industry and length of service.  
The independent sample T-test was used to examine whether the factors of normative commitment, continuance 
commitment, and affective commitment differ on generations X and Y. As a result of the independent sample T test, 
it was concluded that there is no difference in the levels of normative commitment, continuance commitment and 
affective commitment among bank employees belonging to the X and Y generations. 
Multiple regression method was used to determine the effect of organizational commitment on firm performance. As 
a result of the analysis, it was determined that affective commitment does not have a significant effect on firm 
performance, and it shows that continuance commitment has a negative and significant effect on firm performance. 
Finally, normative commitment has a positive and significant effect on firm performance. 
There are many studies on the concepts of organizational commitment, firm performance and intergenerational 
differences in the literature, but there was no study that examined all these concepts in the banking sector. Therefore, 
it is believed that the results obtained in this study will shed light on future studies on the concept of organizatio nal 
commitment, firm performance and intergenerational differences. In addition, the generation Z will begin business 
life in the near future, and the researchers will conduct research on the organizational life of the Z generation. It is 
thought that comparing the results obtained from future research with the findings obtained from this research will 
help us see to what extent generations have changed. 
 

References 
References 
Allen, N. J. & Meyer, J. P., 1990. The Measurement and Antecedents of Affective, Continuance and Normative 

Commitment to the Organization. Journal of Occupational Psychology, Cilt 63, pp. 1-18. 
Ardıç, K. & Çöl, G., 2008. Sosyal Yapısal Özelliklerin Örgüte Bağlılık Üzerine Etkileri. İktisadi ve İdari Bilimler 

Dergisi, 22(2), pp. 157-174. 
Arslan, K., 2020. SPSS'de Bağımsız Örneklem T-Testi (Independent Sample T-Test). [Online]  
Available at: https://www.galloglu.com/blog/bagimsiz-orneklem-t-test-SPSS-independent-sample-t-test#25 
[Accessed 1 Aralık 2020]. 
Bayrak, H., 2019. SPSS Veri Analizi: Frekans Tabloları ve Çapraz Tablo Oluşturma. [Online]  
Available at: https://dijilopedi.com/spss-veri-analizi-frekans-tablolari-ve-capraz-tablo-olusturma/ 
[Accessed 16 December 2020]. 
Erkasap, A., 2020. Çalışanların Kişilik Özellikleri ile Örgütsel Demokrasi Algılarının Örgütsel Muhalefet Davranışları 

ve Örgütsel Sessizlikleri Üzerindeki Etkilerinin İncelenmesi, İstanbul: Doktora Tezi. 
Etzioni, A., 1964. Modern Organizations. New York: Printice-Hall. 
Griffin, K., 2003. Economic globalization and institutions of global governance. Development and Change, 34(5), 

pp. 789-807. 
Hall, D., Schneıder, B. & Nygren, H. T., 1970. Personal Factors in Organizational Identification. Administrative 

Science Quarterly, Cilt 15, pp. 176-190. 
Salancik, G. R., 1977. Commitment and the control of organizational behavior and belief. Chicago: St.Clair Press. 



 Muhammed Erdem SALAMCİ & Okşan KİBRİTÇİ ARTAR 

 

112 
 

Sheldon, M. E., 1971. Investments and Involvements as Mechanisms Producing Commitment to the Organization. 
Administrative Science Quarterly, Cilt 16, pp. 143-150. 

Taouab, O. & Issor, Z., 2019. Firm Performance: Definition and Measurement Models. European Scientific Journal, 
Cilt 15. 

TDK Sözlükleri, 2020. Türk Dil Kurumu. [Online]  
Available at: https://sozluk.gov.tr/ 
[Accessed 2020]. 
Tirendaz Akademi, 2019. Homojenlik testi, Varyansların homojenliği ve SPSS ile veri analizi. [Online]  
Available at: https://www.youtube.com/watch?v=lRYE-muOxVw&ab_channel=TirendazAkademi 
[Accessed 1 Aralık 2020]. 
Tül, E. & Çemberci, M., 2019. Çalışanların İş Motivasyonu ve Örgütsel Bağlılık İle Firma Performansı Arasındaki 

İlişkilerin İncelenmesi: Denetim Sektörü Çalışanları Üzerinde Bir Araştırma. İstanbul Ticaret Üniversitesi Sosyal 
Bilimler Dergisi, Issue 35, pp. 295-308. 

Venkatraman, N. & Ramanujam, V., 1986. Measurement of Business Performance in Strategy Research: A 
Comparison of Approaches. Academy of Management Review, 11(4), pp. 801-814. 

Yıldız, D. & Uzunsakal, E., 2018. Alan Araştırmalarında Güvenilirlik Testlerinin Karşilaştirilmasi ve Tarimsal Veriler 
Üzerine Bir Uygulama. Uygulamalı Sosyal Bilimler Dergisi, 2(1), pp. 14-28.