The Impacts of Human Resource Management Practices on Company Labor Productivity: Empirical Evidence from Iron and Steel Company in Libya
Abstract
This paper investigates the relationship between human resource management practices and labor productivity for the iron and steel Libyan company. This paper operationally defined human resource practices as recruitment and selection, training and development, performance appraisal, communication, compensation, teamwork and employment security. Also, productivity measured as labor productivity. The data was collected using the questionnaire that consists of questions with 5-points Likert scales distributed to our samples of 386 employees. By using a stepwise multiple regression analysis, it is found that, all practices had strong positive correlate and effect on each of labor productivity.
References
[1] Yashwant, P., & Warkhedkar, R. (2013). Sustainability issue and linkages between knowledge management and productivity in auto ancillary industries with reference to Pimpri Chinchwad industrial area. Journal of Mechanical Engineering and Technology (JMET), 1(1), 16-27.
[2] Shaemi, A., Allameh, S., & Hoveyda, H., (2014). Analyze the Impact of Strategic Human Resource Management Functions on Productivity of Human Resources, Journal of Economics and Management, 3(8), 80 - 96.
[3] Yee, L., Leng A., Sharifabad, S., & Sorooshian, S., (2014). Productive Managing of Human Resources. Journal of Management and Science, 4(2), 72-80.
[4] Tehran, M., & Safari, S. (2013).The Estimation of Human Resources Management Practices’ Share in Employees Performance of Iran Public Sector. A Journal of Management Research, 5(3), 96 - 107.
[5] Horgan, J., & Mühlau, P. (2006). Human resource systems and employee performance in Ireland and the Netherlands: a test of a complementary hypothesis. International Journal of Human Resource Management, 17(3), 414 – 439.
[6] Katou, A., & Budhwar, P. (2007). The effect of human resource management policies on organizational performance in Greek manufacturing firms. Thunderbird International Business Review, 49(1), 1 - 35.
[7] Zakaria, N., Zinal, S. and Nasurdin, A. (2011). Investigating the role of human resource management practices on the performance of SME: A conceptual framework. Journal of global management, 3(1), 74 – 92.
[8] Catano, V., Wiesner, H., Hackett, R., & Methot, L. (2009). Recruitment and selection. 4th ed. Nelson series in human resource management. Nelson education ltd.
[9] Sarboland, K., (2012). Effect of Different Levels of Organizational Structure on The Productivity of human Resource Management (A Case Study: Electricity Distribution Company in Ardabil Province). Journal of Basic and Applied Scientific Research, 2(6), 5550-5554.
[10] Tabassi, A., Ramli, M., & Abu Bakar, A. (2011). Training and development of workforces in the construction industry. International Journal of academic Research, 3(4), 509 - 515.
[11] Manoharan, T., Muralidharan, C. & Deshmukh, S. (2009). Employee Performance Appraisal Using Data Envelopment Analysis: A Case Study, Research and Practice in Human Resource Management, 17(1), 92-111.
[12] Bernadin, H. (2007). Human resource management: An exponential approach. 4th ed. New York: McGraw-Hill Irwin.
[13] Armstrong, M. (2009). Armstong's Handbook of Human Resource Management Practice, 11th ed. London: Kogan Page.
[14] Jackson, S., Chuang, C., Harden, E., & Jiang, Y. (2006). Toward developing human resource management systems for knowledge-intensive teamwork. Personnel and human resources management, 25, 27 - 70.
[15] Bassanini, A., Nunziatia, L. & Venn, D. (2009). Job Protection Legislation and Productivity Growth in OECD Countries, Economic Policy, 24(58), 352 - 402.
[16] Heizer, J. and Render, B. (2011), Operation management, 10th ed, Pearson global edition Prentice Hall, NJ.
[17] Wazed, M. & Ahmed, .S. (2008). Multifactor productivity measurements model (MFPMM) as effectual performance measures in manufacturing, Australian journal of basic and applied sciences, 2(4), 987- 996.
[18] Camus, D. (2007). The ONS productivity handbook. A statistical overview and guide, Office for National Statistics, Palgrave Macmillan.
[19] Kumar, S., & Suresh, N. (2008). Production and operation management (with skill development, case lets and cases), 2nd edition, New Age International (P) Ltd. New Delhi.
[20] Neal, A., Michael, A., & Patterson, M. (2004). Do Organizational Climate and Strategic Orientation Moderate the Relationship Between Human Resource Management Practices and Productivity? Centre for economic performance. CEP Discussion Paper No 624.
[21] Chen, C., & Huang, J. (2009). Strategic human resource practices and innovation performance. The mediating role of knowledge management capacity, Journal of Business Research, 62(1), 104 – 114.
[22] Lee, F., Lee, T., & Wu, W. (2010). The relationship between human resource management practices, business strategy and firm performance: evidence from steel industry in Taiwan. The International journal of human resource management, 21(9), 1351 – 1372.
[23] Ahmad, S. & Schroeder, R. (2003). The impact of human resource management practices on operational performance: recognizing country and industry differences. Journal of operations management, 21(1), 19 - 43.
[24] Zacharatos, A., Barling, J. and Iverson, R. (2005). High performance work systems and occupational safety. Journal of applied psychology, 90(1), 77 - 93.
[25] Collins, C. & Smith, K. (2006). Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms, Academy of management journal, 49(3), 544 - 560.
[26] Peck. M., & Chipman .R. (2007) Industrial Development for the 21st Century: Sustainable Development Perspectives. United nation publication.
[27] Gathrie, J., Liu, W., Flood, P., & MacCurtain, S. (2008). High Performance Work Systems, Workforce Productivity, and Innovation: A Comparison of MNCs and Indigenous Firms. The Learning, Innovation and Knowledge (LInK) Research Centre working paper series, WP 04-08, 1 - 24.
[28] Uttam, D. (2013). Material handling in textile industries, International Journal of Advanced Research in Engineering and Applied Sciences, 2(6), 52 - 66.
[29] Sylvester, A., & Mohammed, O. (2014). Measuring productivity for optimal performance in the Nigerian industrial sector. A co-integration approach, International Journal of Economics, Commerce and Management, 2(9), 1 – 19.
[2] Shaemi, A., Allameh, S., & Hoveyda, H., (2014). Analyze the Impact of Strategic Human Resource Management Functions on Productivity of Human Resources, Journal of Economics and Management, 3(8), 80 - 96.
[3] Yee, L., Leng A., Sharifabad, S., & Sorooshian, S., (2014). Productive Managing of Human Resources. Journal of Management and Science, 4(2), 72-80.
[4] Tehran, M., & Safari, S. (2013).The Estimation of Human Resources Management Practices’ Share in Employees Performance of Iran Public Sector. A Journal of Management Research, 5(3), 96 - 107.
[5] Horgan, J., & Mühlau, P. (2006). Human resource systems and employee performance in Ireland and the Netherlands: a test of a complementary hypothesis. International Journal of Human Resource Management, 17(3), 414 – 439.
[6] Katou, A., & Budhwar, P. (2007). The effect of human resource management policies on organizational performance in Greek manufacturing firms. Thunderbird International Business Review, 49(1), 1 - 35.
[7] Zakaria, N., Zinal, S. and Nasurdin, A. (2011). Investigating the role of human resource management practices on the performance of SME: A conceptual framework. Journal of global management, 3(1), 74 – 92.
[8] Catano, V., Wiesner, H., Hackett, R., & Methot, L. (2009). Recruitment and selection. 4th ed. Nelson series in human resource management. Nelson education ltd.
[9] Sarboland, K., (2012). Effect of Different Levels of Organizational Structure on The Productivity of human Resource Management (A Case Study: Electricity Distribution Company in Ardabil Province). Journal of Basic and Applied Scientific Research, 2(6), 5550-5554.
[10] Tabassi, A., Ramli, M., & Abu Bakar, A. (2011). Training and development of workforces in the construction industry. International Journal of academic Research, 3(4), 509 - 515.
[11] Manoharan, T., Muralidharan, C. & Deshmukh, S. (2009). Employee Performance Appraisal Using Data Envelopment Analysis: A Case Study, Research and Practice in Human Resource Management, 17(1), 92-111.
[12] Bernadin, H. (2007). Human resource management: An exponential approach. 4th ed. New York: McGraw-Hill Irwin.
[13] Armstrong, M. (2009). Armstong's Handbook of Human Resource Management Practice, 11th ed. London: Kogan Page.
[14] Jackson, S., Chuang, C., Harden, E., & Jiang, Y. (2006). Toward developing human resource management systems for knowledge-intensive teamwork. Personnel and human resources management, 25, 27 - 70.
[15] Bassanini, A., Nunziatia, L. & Venn, D. (2009). Job Protection Legislation and Productivity Growth in OECD Countries, Economic Policy, 24(58), 352 - 402.
[16] Heizer, J. and Render, B. (2011), Operation management, 10th ed, Pearson global edition Prentice Hall, NJ.
[17] Wazed, M. & Ahmed, .S. (2008). Multifactor productivity measurements model (MFPMM) as effectual performance measures in manufacturing, Australian journal of basic and applied sciences, 2(4), 987- 996.
[18] Camus, D. (2007). The ONS productivity handbook. A statistical overview and guide, Office for National Statistics, Palgrave Macmillan.
[19] Kumar, S., & Suresh, N. (2008). Production and operation management (with skill development, case lets and cases), 2nd edition, New Age International (P) Ltd. New Delhi.
[20] Neal, A., Michael, A., & Patterson, M. (2004). Do Organizational Climate and Strategic Orientation Moderate the Relationship Between Human Resource Management Practices and Productivity? Centre for economic performance. CEP Discussion Paper No 624.
[21] Chen, C., & Huang, J. (2009). Strategic human resource practices and innovation performance. The mediating role of knowledge management capacity, Journal of Business Research, 62(1), 104 – 114.
[22] Lee, F., Lee, T., & Wu, W. (2010). The relationship between human resource management practices, business strategy and firm performance: evidence from steel industry in Taiwan. The International journal of human resource management, 21(9), 1351 – 1372.
[23] Ahmad, S. & Schroeder, R. (2003). The impact of human resource management practices on operational performance: recognizing country and industry differences. Journal of operations management, 21(1), 19 - 43.
[24] Zacharatos, A., Barling, J. and Iverson, R. (2005). High performance work systems and occupational safety. Journal of applied psychology, 90(1), 77 - 93.
[25] Collins, C. & Smith, K. (2006). Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms, Academy of management journal, 49(3), 544 - 560.
[26] Peck. M., & Chipman .R. (2007) Industrial Development for the 21st Century: Sustainable Development Perspectives. United nation publication.
[27] Gathrie, J., Liu, W., Flood, P., & MacCurtain, S. (2008). High Performance Work Systems, Workforce Productivity, and Innovation: A Comparison of MNCs and Indigenous Firms. The Learning, Innovation and Knowledge (LInK) Research Centre working paper series, WP 04-08, 1 - 24.
[28] Uttam, D. (2013). Material handling in textile industries, International Journal of Advanced Research in Engineering and Applied Sciences, 2(6), 52 - 66.
[29] Sylvester, A., & Mohammed, O. (2014). Measuring productivity for optimal performance in the Nigerian industrial sector. A co-integration approach, International Journal of Economics, Commerce and Management, 2(9), 1 – 19.
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Published
2016-01-01
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Haweel, M. H., ziad, A. N. H., Elawady, H., & Mesalam, yehya. (2016). The Impacts of Human Resource Management Practices on Company Labor Productivity: Empirical Evidence from Iron and Steel Company in Libya. American Scientific Research Journal for Engineering, Technology, and Sciences, 15(1), 19–33. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1225
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