This research investigated the relationship between career progression and employee turnover intention in food and Beverage Industry in Nigeria. Various Literature on career progression revealed that turnover intention is an inevitable outcome when career progression is treated with levity by management of organizations. Employees should be allowed to progress within their chosen career otherwise they will opt out of the organization. Employees should be given opportunity for career prospect. Workers will intend to leave when their ambition to move up the managerial hierarchy through hard work and display of intelligence is frustrated. Survey research method was used to collect primary data from 355 staff of sampled firm in Nigeria. The data for the study was analysed using simple regression and Pearson correlation. Simple regression and Pearson correlation was use to test the hypothesis. The empirical result from simple regression analysis showed that negative and significant relationship exist between career progression and turnover intention at 5% level of significance. Pearson correlation result for career progression and turnover intention (r= -0.395 < 0.05) indicated that negative association exists between career progression and turnover intentions. The negative coefficient means that decrease in career progression would lead to increase in turnover intention. The study recommend that management should encourage career progression of employees in organizations to enable them to be committed and loyal. Committed and loyal employee hardly leave the organization.
Keywords: Career progression, Turnover intention, Labour turnover, Employee retention, Career opportunity, Career prospect, Advancement opportunity, Staff motivation, Employee, Organization.
JEL Classification: Industrial organization.
DOI: 10.20448/801.44.581.591
Citation | S. M Aguwamba; B. A. Chukwu; A. N. Ezeabogu (2019). Empirical Investigation of the Relationship between Career Progression and Employee Turnover Intention. American Journal of Social Sciences and Humanities, 4(4): 581-591.
Copyright: This work is licensed under a Creative Commons Attribution 3.0 License
Funding : This study received no specific financial support.
Competing Interests: The authors declare that they have no competing interests.
History : Received: 7 August 2019 / Revised: 12 September 2019 / Accepted: 17 October 2019 / Published: 22 November 2019 .
Publisher: Online Science Publishing
Highlights of this paper
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Career progression is an antecedent of turnover intention. Career progression is a job related and an organizational variable. Career progression is the upwards movement of employee in his area of specialization (Adeboye and Adegoroye, 2012). Lack of career progression is one of the reasons people decide to change jobs, followed by lack of new challenges (Cafaro, 2001; Adeboye and Adegoroye, 2012). Workers can intend to leave when their ambition to move up the managerial hierarchy through hard-work and display of intelligence is frustrated (Dale, 1969; Parker et al., 2011).
Opportunity for Career prospect and better pay can make an employee leave to greener pasture, where a better standard of leaving is assured (Jackson, 1981; Chukwu, 2017). There is likely to be turnover in an organization where loyalty is missing (Mottaz, 1986; Kim, 2012). Organization can succeed only where there is productivity, motivation in terms of career progression and loyalty from employees. Turnover intention can be reduced, if employer foster those qualities by providing employees with jobs that motivate them, offer opportunity for career prospect, job satisfaction and encourage attachment (Chukwu, 2017).
Staff turnover has been a serious problem facing organizations worldwide especially in the field of human resource management (Roshidi, 2014). Staff turnover is costly to organizations usually the quality of products and the productivity of workers are affected (Gustafson, 2002; Roshidi, 2014). High employee turnover brings destruction to the organization in the form of direct and indirect costs and productivity (Roshidi, 2014). The direct costs refers to replacement costs, recruitment and hiring cost, advertising, selection and interviewing cost (Gustafson, 2002).
In addition to monetary cost, high turnover affects organizations reputation badly and also affects its competitive advantage (Stovel and Bontis, 2002). Loss of intellectual capital is also incurred as a result of turnover(Stovel and Bontis, 2002). Staff turnover can cause additional work stress and lower moral and motivation of workers that stay (Solomon et al., 2012). Employee turnover can disrupt organization strategic planning to achieve objectives when an important employee is lost (Capelli, 2008; Oluwafemi, 2010).
The study investigated the relationship between career progression and employee turnover intention in food and beverage industry in Nigeria.
Null hypothesis was formulated to guide this study.
Ho: Career progression has negative relationship with employee turnover intention.
The study would be of great benefit to the following stakeholders.
The study investigated the relationship between career progression and turnover intention in food and beverage industry in Nigeria. The scope of the study would delimit to staff of Bottling Company in Nigeria.
In carrying out this research, the researcher was faced with the following limitations:
Hom and Griffeth (1991) define turnover intention as the individual intention toward voluntary permanent withdrawal from organization. It is the employee likeliness to quit the organization at some near future (Hom and Griffeth, 1991). Turnover intention is the determinant of leaving behavior (Price, 2001; Brigham et al., 2007). And when an employee intend to leave and it is ignored, it will lead to high loss of employees. High loss of employees can cause psychological distress, reduced productivity, quality service, increased cost of recruitment (Powell and York, 1992; Oluwafemi, 2010). Turnover intention is the precursor and predictor of turnover (Price, 2001; Allen et al., 2003).
Previous Studies on turnover intention considered career progression as a determinant of employee turnover intention (Korsakiene et al., 2014). Korsakiene et al. (2014) stated that lack of advancement opportunity was one of the most influencing factors of turnover. Cafaro (2001) argued that career progression and work design are the major reason for employee deciding to join remain or leave an organization.
Fairness in administering promotion is another critical issue concerning career progression (Parker et al., 2011). Parker et al. (2011) posited that promotion should be based on performance and that this will lead to high perception of justice and satisfaction of employees. Kaplan and Ferris (2001) stated that transparent promotion criteria are another crucial factor of employees perceived fairness which can reduce turnover intention. Career progression has negative relationship with turnover intention (Chukwu, 2017).
The importance of career progression as a vehicle for enhancing employees performance and growth was dealt extensively in management theory (Kim, 2012). Perceived career opportunities outside the organization increases employee intention to leave the organization (Stahl et al., 2009; Kim, 2012). Weng et al. (2010) argued that employee organizational career growth is subdivided into four factors such as promotion speed, progress in career goal, professional ability development and advancement in pay. Perceived career progression is negatively related to turnover intention (Price, 2001; Munasinghe, 2006). Heilmann et al. (2008) argued that lack of career growth in areas such as learning, variety and promotion often compel employees to seek employment elsewhere.
Carter (2011) executed a research on the effect of career progression on turnover intention. The objective of the study was to identify the reason why people leave organizations. The findings showed that lack of opportunity for career prospect is one of the reason employees leave and that the key to retention is giving room to grow and develop their career with the organization. Adeboye and Adegoroye (2012)carried out a research on employee perception of career progression and turnover intention among bank workers in Ife central local government Area, Osun State, Nigeria. The research findings showed that a significant inverse relationship exists between perception of career progression and turnover intention. The study recommended that the findings should be used for improvement of work policies, such as those involving downsizing and retrenchment on such a way that would bring justification for job termination and save them from staggering turnover costs.
Wimalasiri and Jayatilake (2016) carried out a study on the factors affecting turnover intention among employees of machine operators in apparel industry in Sri Lanka. The objective of the study was to investigate the relationship between career progression and development, compensation and benefits, employee performance management system, employee relation, job security and turnover intention among staff of machine operation in apparel industry. The finding shows that career progression and development, compensation and benefits, job security, work–family life balance significantly impacted on turnover intention, while perceived supervisor supports and employee performance management were not significantly influenced by turnover intention. The study recommended that employees should be given enough time to meet their family requirement, enhance career development opportunities and the immediate supervisor need to keep strong relationship with their subordinate.
Nazim (2005) conducted a research on factors affecting employee turnover intention among lecturers of sector college of NWFP in Pakistan. The objective of the study was to examine the influence of promotion on employee turnover intention. The research findings showed that lecturers of private sector college NWFP were dissatisfied with promotion and satisfied with co-workers nature of work, operating conditions and communications. The research findings also showed that promotional chances were significantly associated with turnover intention.
Usman and Jangraiz (2015) carried out a research on the factors affecting turnover intention among 150 employees of Private Sector Universities of Peshwar in Peshwar. The objectives of the study was to examine the interrelationship among promotion opportunities, job satisfaction and turnover intention. The findings of the study showed that promotion opportunities and job satisfaction significantly affected turnover intention. The study recommended that private sector universities should give promotion opportunities, competitive salary, make the system transparent and justified.
The data for the research was collected from primary source. The source of the data was through questionnaire randomlydistributed to employees of Bottling Company in Nigeria. The population of the study was 3158. A sample of 355 was selected from the population using (Yamane, 1964) formular. A stratified random sampling technique was used to distribute sample to Bottling Company using stratum allocation technique of Kumar (1976).
The questionnaire consisted of demography data such as age, gender, level of education, marital status etc. The questionnaire was made up of five point Likert scale ranging from 1 (strongly disagree with the statements) to 5 strongly agree for each of the statement). The questionnaire is a combination of adaptation of the proposed scale for career progression developed by Zhang and Liao (2007) and turnover intention scale developed by Michaels and Spector (1982); Viator (2001) and self development of items. A total of 355 questionnaires were distributed to staff of Bottling Company and 304 responses were collected which has 85.63% response rate.
The model has two variables for empirical testing. And the variables are turnover intention which is the dependent variable and career progression which is the independent variable. The sample was analysed with statistical package for social science (SPSS) 16.0. Simple regression analysis was utilized as a statistical tool since it was a measure of association. Pearson Correlation test was also carried out to find out the relationship between the stated variables. The demographic data were analysed using frequency table.
The following model was specified for empirical testing:
Questionnaire was sent to 40 respondents to test the relevance and pass their comment. The idea was to ensure that the questions in the questionnaire were simple and understandable, which helps in developing the questionnaires more efficiently. A favourable comment was obtained from the 40 respondents and the result of the pilot rest ensured that the questionnaire was understandable by the 40 respondents.
A reliability test was also carried out on career progression and Turnover intention scales. The analysis result showed that the reliability test of the data were over all 0.798. This value is generally considered acceptable in social science. The analytical scale or data of 0.798 is reliable enough for analysis. According to Walonick (1993) the value 0.7 is acceptable and the values above 0.8 are preferable.
A total of three hundred and fifty five (355) questionnaires were given out to respondents and three hundred and four (304) were duly returned and useable and subsequently utilized. Therefore, the response rate was 85.63%. The demography of the respondents to show the characteristics of the respondents who participated in the survey is shown below.
Responses |
Frequency |
Percentage |
Age: |
||
Less than 30 years |
40 |
19.7 |
30-39 years |
122 |
40.1 |
40-49 years |
86 |
28.3 |
Above 50 years |
36 |
11.9 |
Total |
304 |
100 |
Sex: |
||
Male |
200 |
65.8 |
Female |
104 |
34.2 |
Total |
304 |
100 |
Educational level |
||
Secondary |
82 |
27 |
Post-Secondary |
125 |
41.1 |
Polytechnic/University |
97 |
31.9 |
Total |
304 |
100 |
Department |
||
According |
33 |
10.9 |
Marketing |
80 |
26.3 |
Administration |
44 |
14.5 |
Production |
97 |
31.9 |
Maintenance |
50 |
16.4 |
Total |
304 |
100 |
Marital status |
||
Single |
123 |
40.5 |
Married |
181 |
59.5 |
Total |
304 |
100 |
Years of service |
||
Less than 5 years |
79 |
25 |
5-10 year |
127 |
41.8 |
15-Oct |
66 |
21.7 |
Above 16 years |
32 |
10.5 |
304 |
100 |
|
Number of time |
||
Change Job |
||
2times and below |
187 |
61.5 |
3-4 times |
76 |
25 |
5times and above |
41 |
13.5 |
Total |
304 |
100 |
Source: Field survey, 2019.
Table 1 shows the age distribution of the sampled respondent of whom 60 (19.7%) of them were aged 30 year below, 122 (40.1%) of them were aged 30-39 years, 86 (28.3%) of them were aged 40 – 9 years, and 36 (11.9%) of them were age 50 years and above. This shows that the majority of the respondents were aged 30 – 39 years. On the issue of sex of the sample respondents 200 (65.8%) were males and 104 (34.2%) were females. This implies that majority of the respondents were males. On the educational level of the respondents who returned valid copies of distributed questionnaires of whom 82 (27.0%) of them attended secondary school, 125 (41.1%) of them attended post secondary and 97 (31.9%) of them attended polytechnic/university. This means that majority of the sampled respondents attended post-secondary school. Based on department, 33 (10.9%) of the respondents were in accounting department, 80 (26.3%) of the respondents were in marketing department, 44 (14.5%) of the respondents were in administration department, 99 (31.9%) of the respondents were in production department and 55 (16. 4%) of the respondents were in maintenance department. This means that majority of the respondents were in production department. On the issue to marital status of the sampled respondents, 123 (40.5%) of them were single and 181 (59.5%) of them were married. This shows that the majority of the respondents were married. On the year of service, 79 (26%) had work for the period of 5 years and below, 127 (41. 1%) had work for period of 5 – 10 years, 66 (21.7%) had work for the period of 10 – 15 years and 32 (10.5%) had work for the period of 16years and above. This shows that majority of the respondents had work for the period of 5 – 10 years. The number of times change job, 187 (61.5%) of the respondents had change job less than twice, 76 (25%) of the respondents had changed job for 3 – 4 times and 41 (13.5%) of the respondents had changed job for 5 times above. This means that the majority of the respondents had changed job for less than 2 times.
Independent variable |
Strongly agree |
Agree |
Undecided |
Disagree |
Strongly disagree |
Career progression |
34(11.2) |
76 (25) |
17 (5.6) |
98 (32.2) |
(26) 79 |
Source: Field survey, 2019.
In Table 2 34 respondents which comprised 11.2% of 304 respondents that participated in the survey strongly agreed that career progression and turnover intension have positive relationship while 76 (25%) agreed, 17 (5.6%) of the respondents were undecided on the issue, 98 (32.2%) disagreed while 79 (26%) strongly disagreed. This in essence showed that majority of the respondents comprising 58.2% disagreed that career progression and turnover intension have positive relation, while 36.2% agreed and 5.6% were undecided on the issue.
Dependent variable |
Strongly agree |
Agree |
Undecided |
Disagree |
Strongly disagree |
Turnover intention |
53 (17.4) |
109 (35.8) |
94 (30.9) |
42 (13.9) |
6 (2) |
Source: Field survey 2019.
Table 3 showed that 53 respondents which comprised (17.4%) of 304 respondents who participated in the survey strongly agreed that they can leave when there is no opportunity for career progression in the organization, 109 (35.8%) agreed, 94 (30.9%) were undecided on the issue. 42 (13.9%) disagreed while 5 (2%) strongly disagreed. This in essence showed that majority of the respondents comprising 53.2% agreed that they will leave when there is no opportunity for career progression in the organization while 15.9% disagreed and 30.9% were undecided on the issue.
Simple regression technique was used to test the hypothesis of the research.
Variable |
Coefficient |
Std error |
t-statistics |
Probability |
Constant |
3. 101 |
0. 516 |
6. 005 |
0. 000 |
Career progression |
-0. 415 |
0. 086 |
-4. 806 |
0. 001 |
R- Squared 0. 618
Adjusted R – Squared 0. 611
F - Statistics 20. 556= (0
Standard error of regression 0. 416
(SPSS) version 16. 0
In Table 4 the beta value or coefficient showed that 1 unit negative change in the value of career progression would result in 0.415 (41.5%) negative change in the turnover intension, other variables being held constant. The beta value or coefficient of 0.415 showed that career progression has negative relationship with turnover intention. The t-statistics of 4.806 showed that career progression has no significant t-ratio. The t-statistics of career progression showed that it accounted for significant negative variation on dependent variable turnover intension (p = 4.806, p <.05). Probability or significant value of .001 showed that career progression is significant at less than 5% level.
The F value of 20.556 showed that the model has over all significance of 1% level. R2 0.611 suggested that the model is a good fit. This indicates that 61.1% of the variation in turnover intention is accounted for by variation in career progression.
Career crogression (CP) |
|
Turnover intention (TI) |
Pearson correlation – 0. 395 |
Significance (1-tailed) . 001 |
The spear correlation result is significant at 5% level.
Ho: Career progression has negative relationship with employee turnover intention.
In testing the hypothesis, it would be revealed from the simple regression results above that career progression had a negative and significant relationship with employee turnover intention at 5% level of significance. This means that we were 95% confidence level that career progression would significantly lead to decrease in turnover intention. The negative coefficient value of career progression (-0. 415) accounted for 41. 5% employee turnover intention. This means that career progression would not lead to employee turnover intention and is statistically significant. This significant influence of career progression is because it passed test of significance. The t–statistics of career progression also accounted for significance negative variation in dependent variable, turnover intention (P = -4. 806, P05). And as a result, null hypothesis is accepted and alternate hypothesis rejected. Career progression has negative relationship with turnover intention.
Table 5 shows the result of correlation between career progression and turnover intention i.e. (r = - 0. 395, P 0. 05). The correlation measured the result of degree of linear association between the given variables for the research. The result of the correlation revealed that a negative association exists between career progression and turnover intention (T1 = - 0. 395). The negative coefficient means that decrease in career progression will lead to increase in employee turnover intention.
Career progression had a negative and significant influence on employee turnover intention at 5% level of significance. The findings was in line with the findings of Korsakiene et al. (2014), Kim (2012), Stahl et al. (2009), Adeboye and Adegoroye (2012), Wimalasiri and Jayatilake (2016) and Usman and Jangraiz (2015) that career progression have negative relationship with turnover intention. This research therefore suggest that we should accept the null hypothesis that career progression is negatively related to turnover intention.
It would be observed in Table 4 that the coefficient of determination (adj .R2) value of 0.611, that is 61.1% of the systematic variation in employee turnover intention was explained by career progression. The remaining 38. 9% was captured by the error terms. This means that the model overall was good for statistical predictions. The value F = 20. 556 with (P 0. 05) showed that the model is significant, thus it can be assumed that an inverse relationship exist between the variable in the model.
Table 5 showed the result of correlation between career progression and turnover (r = - 0 . 395, p 0.05). It showed that a negative relationship exists between career progression and turnover intention.
The study addressed to what extent career progression influence turnover intention, from the result above, the empirical support of the hypothesis is obvious. The empirical result from the regression showed that career progression and turnover intention had significant negative relationship at 5% level of significance. This implies that when employees are denied career progression they will intend to leave.
In line with the empirical findings with the multiple results, the recommendation are made accordingly.
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