Organizational executives have always taken care of the sustainable employment of their employees. It is a part of the responsibility of the manager to form a competent team and team and to continue their sustainable operation. Since the beginning of the 21st century, the construction industry and the mining industry have been investing the most in Mongolia's economy. Stable employment of skilled workers has become the most important factor in creating the image of the country and the comfort of the people. The increase in turnover and turnover of employees not only increases the cost of the organization, but also leads to a lack of skills and knowledge, resulting in a shortage of human resources and a decrease in the ability to overcome competition. In recent years, since the COVID-19, there has been a lot of staff turnover due to the difficult working environment in the construction industry. This article examines the external and internal environmental factors that affect the sustainable employment of construction industry employees and calculates the relationship between them. In the research, a questionnaire survey was taken from construction industry executives, and the results were calculated using SPSS23 and Smart PLS programs. According to the results, the managers believed that the external environment has a strong positive relationship and the internal environment factors have a positive relationship with the sustainable employment of human resources in the construction industry.
Published in | Journal of Human Resource Management (Volume 12, Issue 3) |
DOI | 10.11648/j.jhrm.20241203.14 |
Page(s) | 85-95 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
External Environment, Internal Environment, Management, Economy, Public Policy, Environment, Organization
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | .748 | |
Bartlett's Test of Sphericity | Approx. Chi-Square | 3493.135 |
df | 923 | |
Sig. | .000 |
Cronbach's Alpha | Cronbach's Alpha Based on Standardized Items | N of Items |
---|---|---|
.932 | .928 | 57 |
I | I_1 | I_2 | I_3 | I_4 | I_5 | I_6 | I_7 | I_8 | I_9 | ||
---|---|---|---|---|---|---|---|---|---|---|---|
I | Pearson Correlation | 1 | |||||||||
Sig. (2-tailed) | |||||||||||
N | 43 | ||||||||||
I_1 | Pearson Correlation | .230 | 1 | ||||||||
Sig. (2-tailed) | .138 | ||||||||||
N | 43 | 43 | |||||||||
I_2 | Pearson Correlation | .494** | .725** | 1 | |||||||
Sig. (2-tailed) | .001 | .000 | |||||||||
N | 43 | 43 | 43 | ||||||||
I_3 | Pearson Correlation | .675** | .377* | .406** | 1 | ||||||
Sig. (2-tailed) | .000 | .015 | .008 | ||||||||
N | 41 | 41 | 41 | 41 | |||||||
I_4 | Pearson Correlation | .720** | .456** | .641** | .677** | 1 | |||||
Sig. (2-tailed) | .000 | .002 | .000 | .000 | |||||||
N | 42 | 42 | 42 | 40 | 42 | ||||||
I_5 | Pearson Correlation | .760** | .299 | .416** | .602** | .656** | 1 | ||||
Sig. (2-tailed) | .000 | .055 | .006 | .000 | .000 | ||||||
N | 42 | 42 | 42 | 40 | 41 | 42 | |||||
I_6 | Pearson Correlation | .629** | .086 | .295 | .365* | .448** | .459** | 1 | |||
Sig. (2-tailed) | .000 | .590 | .058 | .021 | .003 | .003 | |||||
N | 42 | 42 | 42 | 40 | 41 | 41 | 42 | ||||
I_7 | Pearson Correlation | .591** | -.359* | -.097 | .320* | .403** | .449** | .566** | 1 | ||
Sig. (2-tailed) | .000 | .018 | .535 | .042 | .008 | .003 | .000 | ||||
N | 43 | 43 | 43 | 41 | 42 | 42 | 42 | 43 | |||
I_8 | Pearson Correlation | .464** | -.318* | -.105 | .277 | .182 | .306* | .272 | .645** | 1 | |
Sig. (2-tailed) | .002 | .037 | .503 | .080 | .248 | .049 | .082 | .000 | |||
N | 43 | 43 | 43 | 41 | 42 | 42 | 42 | 43 | 43 | ||
I_9 | Pearson Correlation | .462** | -.210 | -.077 | .314* | .272 | .343* | .376* | .648** | .725** | 1 |
Sig. (2-tailed) | .002 | .176 | .624 | .046 | .081 | .026 | .014 | .000 | .000 | ||
N | 43 | 43 | 43 | 41 | 42 | 42 | 42 | 43 | 43 | 43 | |
**. Correlation is significant at the 0.01 level (2-tailed). | |||||||||||
*. Correlation is significant at the 0.05 level (2-tailed). |
Sustainable employment | External environmental | Internal environmental | ||
---|---|---|---|---|
Sustainable employment | Pearson Correlation | 1 | ||
Sig. (2-tailed) | ||||
N | 43 | |||
External environmental | Pearson Correlation | .868** | 1 | |
Sig. (2-tailed) | .000 | |||
N | 43 | 43 | ||
Internal environmental | Pearson Correlation | .617** | .545** | 1 |
Sig. (2-tailed) | .000 | .000 | ||
N | 43 | 43 | 43 | |
**. Correlation is significant at the 0.01 level (2-tailed). |
Model | Sum of Squares | df | Mean Square | F | Sig. | |
---|---|---|---|---|---|---|
1 | Regression | 27.127 | 2 | 13.563 | 72.101 | .000b |
Residual | 7.525 | 40 | .188 | |||
Total | 34.651 | 42 | ||||
a. Dependent Variable: Sus | ||||||
b. Predictors: (Constant), Sus_E, Sus_I |
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. | ||
---|---|---|---|---|---|---|
B | Std. Error | Beta | ||||
1 | (Constant) | .158 | .399 | .396 | .694 | |
External environmental | .636 | .074 | .756 | 8.602 | .000 | |
Internal environmental | .297 | .127 | .205 | 2.334 | .025 |
Sustainable employment | External environmental | Internal environmental | AVE | CR | CA | |
---|---|---|---|---|---|---|
Sustainable employment | 0.705 | 0.497 | 0.953 | 0.947 | ||
External environmental | 0.901 | 0.703 | 0.494 | 0.896 | 0.868 | |
Internal environmental | 0.965 | 0.756 | 0.782 | 0.611 | 0.949 | 0.941 |
Hypothesis | Sustainable employment | |
---|---|---|
Path | Regression weight | |
H1a | I→S | 0.448 |
H1b | E→S | 0.645 |
KMO | Kaiser-Meyer-Olkin |
AVE | Average Variance Extracted |
CR | Composite Reliability |
CA | Cronbach's Alpha |
S | Sustainable Employment |
E | External Environmental |
I | Internal Environmental |
E_1 | Government Policies and Programs |
E_2 | Economic Situation of the Country |
E_3 | Inflation Rate |
E_4 | Consumer price Index |
E_5 | Tax Policy |
E_6 | Prices of Raw Materials Used in the Industry |
E_7 | Interest Rate |
E_8 | Population Growth |
E_9 | Lifestyle |
E_10 | Purchasing Power |
E_11 | Political Influence |
E_12 | Environmental Factors |
I_1 | The Production Volume of the Industry (GDP) |
I_2 | The Labor Productivity of the Industry |
I_3 | Average Salary of the Industry |
I_4 | Investment in the Construction Industry |
I_5 | Speed of Technological Progress |
I_6 | Labor Safety Policy |
I_7 | Human Resources Movement |
I_8 | Reputation of the Industry in the Labor Market |
I_9 | Policy of Attracting Skilled and Experienced Employees of the Industry |
GDP | Gross Domestic Product |
[1] |
United Nations Development Programme (UNDP): Goal 8. Decent work and economic growth. Available from:
https://www.undp.org/sustainable-development-goals/decent-work-and-economic-growth [Accessed 1 May 2024]. |
[2] |
Annex 1 to Resolution No. 52, 2020 of the State Great Hural of Mongolia. Available from:
https://cabinet.gov.mn/wp-content/uploads/2050_Vision_ long-term-development-policy.pdf [Accessed 3 May 2024]. |
[3] | Mongolian government (2019). VISION – 2050. Long-term development policy of Mongolia. Ulaanbaatar. |
[4] | Peter Docherty, Mari Kira, A. B. Shani. Creating Sustainable Work Systems: Developing social sustainability. What the world needs now is sustainable work systems. 2nd edition. 2008. p. 1-22., ebook: ISBN-978-0-203-89002-8. |
[5] | Livia Brouwers, Josephine A. Engels, Yvonne Heerkens and Allard J van der Beek. Development of a Vitality Scan related to workers’ sustainable employabi..lity: A study assessing its internal consistency and construct validity. BMC public health, 2015, 15 (1), p. 551. |
[6] | Karen van Dama, Tinka van Vuuren and Sofie Kemps. Sustainable employment: the importance of intrinsically valuable work and an age-supportive climate. The International Journal of Human Resource Management, 2017, 28 (17), p. 2449–2472. |
[7] | Sait Gürbüz, Arnold B. Bakker, Evangelia Demerouti. Sustainable employability and work engagement: a three-wave study. Frontiers in Psychology. Sec. Organizational Psychology. 2023, 14. |
[8] | Jan de Jonge, Maria C. W. Peeters. The Vital Worker: Towards Sustainable Performance at Work. International Journal of Environmental Research and Public Health. 2019, 16 (6), 910 |
[9] | Dilek ESEN, Pınar SÜRAL ÖZER. Sustainable Human Resources Management (HRM): A study in turkey context and developing a sustainable HRM questionnaire. International Journal of Management Economics and Business, 2020, 16 (3). p: 550-578. |
[10] | Katharina Bohnenberger. Is it a green or brown job? A Taxonomy of Sustainable Employment. Journal of Ecological Economics. 2022, 200, 107469. |
[11] | Beatrice I. J. M, Van der Heijden, Marjan J. Gorgievski and Annet H. De Lange. Learning at the workplace and sustainable employability: a multi-source model moderated by age. European Journal of Work and Organizational Psychology, 2015, 25 (1), p. 13-30. |
[12] | Khushbu Bhardwaj, Shuchi Singhal. Sustainable Employability: Literature Review. International Journal for Research in Engineering Application & Management (IJREAM). 2019, 04 (12). p. 336-349. |
[13] |
Boldbaatar, G., Theoretical and methodological study of factors Impacting Employee Sustainable employment of employees. Journal MANAGEMENT&INNOVATION. ISSN 2790-2382. 2023, 03 (29), p. 178-184.
https://drive.google.com/file/d/14og8m1Qsxzjl2QdC_u1G4d_rdEeY3b1-/view |
[14] | Fugate, M., Kinicki, A. J. and Ashforth, B. E. Employability: A psycho-social construct, its dimensions, and applications. Journal of Vocational behavior, 2004, 65 (1), p. 14-38. |
[15] | Purevdagva Kh., Batkhurel. G., et all (2021). Human resource management. 2nd edition. Textbook. Ulaanbaatar, Mongolia. Mongolian Univeristy of Science and Technology. p. 357-386. ISBN-978-9919-506-37-7. |
APA Style
Gotov, B., Andryei, A., Gombodorj, B. (2024). To Study the Factors Affecting the Sustainable Employment of Human Resources in the Construction Industry. Journal of Human Resource Management, 12(3), 85-95. https://doi.org/10.11648/j.jhrm.20241203.14
ACS Style
Gotov, B.; Andryei, A.; Gombodorj, B. To Study the Factors Affecting the Sustainable Employment of Human Resources in the Construction Industry. J. Hum. Resour. Manag. 2024, 12(3), 85-95. doi: 10.11648/j.jhrm.20241203.14
@article{10.11648/j.jhrm.20241203.14, author = {Boldbaatar Gotov and Ayush Andryei and Batkhurel Gombodorj}, title = {To Study the Factors Affecting the Sustainable Employment of Human Resources in the Construction Industry }, journal = {Journal of Human Resource Management}, volume = {12}, number = {3}, pages = {85-95}, doi = {10.11648/j.jhrm.20241203.14}, url = {https://doi.org/10.11648/j.jhrm.20241203.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jhrm.20241203.14}, abstract = {Organizational executives have always taken care of the sustainable employment of their employees. It is a part of the responsibility of the manager to form a competent team and team and to continue their sustainable operation. Since the beginning of the 21st century, the construction industry and the mining industry have been investing the most in Mongolia's economy. Stable employment of skilled workers has become the most important factor in creating the image of the country and the comfort of the people. The increase in turnover and turnover of employees not only increases the cost of the organization, but also leads to a lack of skills and knowledge, resulting in a shortage of human resources and a decrease in the ability to overcome competition. In recent years, since the COVID-19, there has been a lot of staff turnover due to the difficult working environment in the construction industry. This article examines the external and internal environmental factors that affect the sustainable employment of construction industry employees and calculates the relationship between them. In the research, a questionnaire survey was taken from construction industry executives, and the results were calculated using SPSS23 and Smart PLS programs. According to the results, the managers believed that the external environment has a strong positive relationship and the internal environment factors have a positive relationship with the sustainable employment of human resources in the construction industry. }, year = {2024} }
TY - JOUR T1 - To Study the Factors Affecting the Sustainable Employment of Human Resources in the Construction Industry AU - Boldbaatar Gotov AU - Ayush Andryei AU - Batkhurel Gombodorj Y1 - 2024/08/20 PY - 2024 N1 - https://doi.org/10.11648/j.jhrm.20241203.14 DO - 10.11648/j.jhrm.20241203.14 T2 - Journal of Human Resource Management JF - Journal of Human Resource Management JO - Journal of Human Resource Management SP - 85 EP - 95 PB - Science Publishing Group SN - 2331-0715 UR - https://doi.org/10.11648/j.jhrm.20241203.14 AB - Organizational executives have always taken care of the sustainable employment of their employees. It is a part of the responsibility of the manager to form a competent team and team and to continue their sustainable operation. Since the beginning of the 21st century, the construction industry and the mining industry have been investing the most in Mongolia's economy. Stable employment of skilled workers has become the most important factor in creating the image of the country and the comfort of the people. The increase in turnover and turnover of employees not only increases the cost of the organization, but also leads to a lack of skills and knowledge, resulting in a shortage of human resources and a decrease in the ability to overcome competition. In recent years, since the COVID-19, there has been a lot of staff turnover due to the difficult working environment in the construction industry. This article examines the external and internal environmental factors that affect the sustainable employment of construction industry employees and calculates the relationship between them. In the research, a questionnaire survey was taken from construction industry executives, and the results were calculated using SPSS23 and Smart PLS programs. According to the results, the managers believed that the external environment has a strong positive relationship and the internal environment factors have a positive relationship with the sustainable employment of human resources in the construction industry. VL - 12 IS - 3 ER -