The Model for The Productivity towards Operation Facilities affecting Operation Performance of Industrial Entrepreneurs (SMI) in Phetchabun ProvinceThe Model for The Productivity towards Operation Facilities affecting Operation Performance of Industrial E
Article Sidebar
Published:
Apr 25, 2020
Keywords:
productivity operation facilities operation performance
Main Article Content
Abstract
This research aim to studied the operation facilities, and productivity which influenced of the operation performance in the cost and delivery aspects of Thai industrial entrepreneurs. The population was SME entrepreneurs in the manufacturing industry in Phetchabun who registered for the government’s reorganization project. The research used 259 questionnaires to collect data. Researcher collected data with purposive sampling. Statistical analysis used structural equation model analysis. The research results showed that (1) the research model was consistent with empirical data (Chi-square/df = 1.697, GFI = 0.919, CFI = 0.906, IFI = 0.909, RMR = 0.086, RMSEA = 0.052), (2) the operation facilities in technology aspect had a significant, positive direct influence on the labor productivity, and (3) the operation facilities in technology aspect had a significant, positive indirect influence on operation performance both cost and delivery aspects through the labor productivity. This research suggests that industrial entrepreneurs should focus on improve the operation facilities in technology aspect for increase the labor productivity which is a major influence on the cost and delivery.
Article Details
How to Cite
Khowjoy, K. (2020). The Model for The Productivity towards Operation Facilities affecting Operation Performance of Industrial Entrepreneurs (SMI) in Phetchabun ProvinceThe Model for The Productivity towards Operation Facilities affecting Operation Performance of Industrial E. Journal of Humanities and Social Sciences, Rajapruk University, 6(1), 149–160. Retrieved from https://so03.tci-thaijo.org/index.php/rpu/article/view/242234
Section
Articles
References
ฉัตยาพร เสมอใจ. (2561). การจัดการด้านการตลาดและผลการดำเนินงานของ SMEs ในจังหวัดนนทบุรี. วารสารมนุษยศาสตร์และสังคมศาสตร์ มหาวิทยาลัยราชพฤกษ์, 4(2) กันยายน 2561: 77 - 92.
ไทยรัฐ. (2561). ธปท.ชี้ SMEs ต้องเร่งปรับตัว. ค้นเมื่อวันที่ 15 กุมภาพันธ์ 2562, จาก https://www.thairath.co.th.
Ali, S. I., Yousof, J., Khan, M. R., & Masood, S. A., (2011). Evaluation of performance in manufacturing organization through productivity and quality. African Journal of Business Management, 5(6) March 2011: 2211 - 2219.
Ameh, O. J., & Osegbo, E. E. (2011). Study of relationship between time overrun and productivity on construction sites. International Journal of Construction Supplychain Management, 1(1) December 2011: 56 - 67.
Cresp, G., (2012). Innovation and Productivity: Evidence from Six Latin American Countries. World Development, 40(2) February 2012: 273 – 290.
Fallahi, F., Nasim, S. S., & Aslaninia, M. (2010). Determinants of Labor Productivity in Iran’s Manufacturing Firms: With Emphasis on Labor Education and Training. Munich Personal RePEc, No. 27447, posted 16, December 2010.
Golden, L. (2012). The Effects of Working Time on Productivity and Firm Performance, Research Synthesis Paper. International Labor Organization (ILO) Conditions of Work and Employment Series, 33(1) August 2012.
Hai, D. T., & Tam, N. V. (2019). Analysis of affected factors on construction productivity in Vietnam. International Journal of Civil Engineering and Technology (IJCIET), 10(2) February 2019: 854 – 864.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E., (2014). Multivaliate data analysis. 7th ed. US: Pearson Education.
Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications, 2nd Edn. New York, NY: Routledge.
Jain, A., Bhatti, R., & Singh, H. (2014). Total productive maintenance (TPM) implementation practice. International Journal of Lean Six Sigma, 5(3) July 2014: 293 - 323.
Kazaz, A., Ulubeyli, S., Acikara, T., & ER, B. (2016). Factors affecting labor productivity: Perspectives of craft workers. Procedia Engineering, June 2016: 28 – 34.
Khater, M. M., & Mostafa, N. A., (2011). Selection of productivity improvement techniques via mathematical modeling. Management Science Letters, 1(1) January 2011: 379 – 388.
Kontoghiorghes, C. (2018). Examining the Association between Quality and Productivity Performance in a Service Organization. Quality Management Journal, 10(1) February 2018: 32 - 42.
Kumar, P., Shetty, R., & Rodrigues, L. L. R., (2014). Overall Equipment Efficiency and Productivity of a News Paper Printing Machine of a Daily News Paper Company - A Case Study. International Journal of Engineering Practical Research (IJEPR), 3(1) February 2014: 20 - 27.
Mahamid, I. (2013). Contractors perspective toward factors affecting labor productivity in building construction. Journal of Engineering, Construction and Architectural Management, 20(5) September 2013: 446 - 460.
Nurcahyanie, Y. D., (2018). Improvement of work method based on micromotion study to increase technical productivity (Case Study at Nissan Ahmad Yani Surabaya Workshop). TiBuana Journal of applied Industrial Engineering-University of PGRI Adi Buana, 1(1) August 2018.
Oprime, P. C., & Pimenta, G. H. D. S. M. M. L. (2012). Continuous improvement: critical factors in Brazilianindustrial companies. International Journal of Productivity and Performance Management, 61(1) January 2012: 69 - 92.
Pramod P., Shewale, Manmath, S., Shete, & Sane, S. M. (2012). Improvement in plant layout using systematic layout planning (SLP) for increased productivity. International Journal of Advanced Engineering Research and Studies, 1(1) June 2012: 259 - 261.
Purnama, G. N. T., Gunanto, Purba, H. H., & Aisyah, S. (2018). Analysis of Increasing the Productivity of Using Tinting Machines Based on the VSM Method in the Paint Industry. International Journal of Research in Engineering, Science and Management, 1(12) December 2018: 783 - 786.
Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling. 3rd ed. New Jersey: Lawrence Erlbaum Associates.
Sharma, C. (2019). Effects of R&D and foreign technology transfer on productivity and innovation: an enterprises-level evidence from Bangladesh. Asian Journal of Technology Innovation, 27(1) March 2019: 46 - 70.
Singh, M. D., Apurv, R. J., Dhaval. P. G., & Varmora, P. J., (2013). Overall productivity improvement in casting and fastening industry. International Journal of Mechanical and Production Engineering (IJMPE), 1(1) July 2014: 43 - 48.
ไทยรัฐ. (2561). ธปท.ชี้ SMEs ต้องเร่งปรับตัว. ค้นเมื่อวันที่ 15 กุมภาพันธ์ 2562, จาก https://www.thairath.co.th.
Ali, S. I., Yousof, J., Khan, M. R., & Masood, S. A., (2011). Evaluation of performance in manufacturing organization through productivity and quality. African Journal of Business Management, 5(6) March 2011: 2211 - 2219.
Ameh, O. J., & Osegbo, E. E. (2011). Study of relationship between time overrun and productivity on construction sites. International Journal of Construction Supplychain Management, 1(1) December 2011: 56 - 67.
Cresp, G., (2012). Innovation and Productivity: Evidence from Six Latin American Countries. World Development, 40(2) February 2012: 273 – 290.
Fallahi, F., Nasim, S. S., & Aslaninia, M. (2010). Determinants of Labor Productivity in Iran’s Manufacturing Firms: With Emphasis on Labor Education and Training. Munich Personal RePEc, No. 27447, posted 16, December 2010.
Golden, L. (2012). The Effects of Working Time on Productivity and Firm Performance, Research Synthesis Paper. International Labor Organization (ILO) Conditions of Work and Employment Series, 33(1) August 2012.
Hai, D. T., & Tam, N. V. (2019). Analysis of affected factors on construction productivity in Vietnam. International Journal of Civil Engineering and Technology (IJCIET), 10(2) February 2019: 854 – 864.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E., (2014). Multivaliate data analysis. 7th ed. US: Pearson Education.
Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications, 2nd Edn. New York, NY: Routledge.
Jain, A., Bhatti, R., & Singh, H. (2014). Total productive maintenance (TPM) implementation practice. International Journal of Lean Six Sigma, 5(3) July 2014: 293 - 323.
Kazaz, A., Ulubeyli, S., Acikara, T., & ER, B. (2016). Factors affecting labor productivity: Perspectives of craft workers. Procedia Engineering, June 2016: 28 – 34.
Khater, M. M., & Mostafa, N. A., (2011). Selection of productivity improvement techniques via mathematical modeling. Management Science Letters, 1(1) January 2011: 379 – 388.
Kontoghiorghes, C. (2018). Examining the Association between Quality and Productivity Performance in a Service Organization. Quality Management Journal, 10(1) February 2018: 32 - 42.
Kumar, P., Shetty, R., & Rodrigues, L. L. R., (2014). Overall Equipment Efficiency and Productivity of a News Paper Printing Machine of a Daily News Paper Company - A Case Study. International Journal of Engineering Practical Research (IJEPR), 3(1) February 2014: 20 - 27.
Mahamid, I. (2013). Contractors perspective toward factors affecting labor productivity in building construction. Journal of Engineering, Construction and Architectural Management, 20(5) September 2013: 446 - 460.
Nurcahyanie, Y. D., (2018). Improvement of work method based on micromotion study to increase technical productivity (Case Study at Nissan Ahmad Yani Surabaya Workshop). TiBuana Journal of applied Industrial Engineering-University of PGRI Adi Buana, 1(1) August 2018.
Oprime, P. C., & Pimenta, G. H. D. S. M. M. L. (2012). Continuous improvement: critical factors in Brazilianindustrial companies. International Journal of Productivity and Performance Management, 61(1) January 2012: 69 - 92.
Pramod P., Shewale, Manmath, S., Shete, & Sane, S. M. (2012). Improvement in plant layout using systematic layout planning (SLP) for increased productivity. International Journal of Advanced Engineering Research and Studies, 1(1) June 2012: 259 - 261.
Purnama, G. N. T., Gunanto, Purba, H. H., & Aisyah, S. (2018). Analysis of Increasing the Productivity of Using Tinting Machines Based on the VSM Method in the Paint Industry. International Journal of Research in Engineering, Science and Management, 1(12) December 2018: 783 - 786.
Schumacker, R. E., & Lomax, R. G. (2010). A beginner’s guide to structural equation modeling. 3rd ed. New Jersey: Lawrence Erlbaum Associates.
Sharma, C. (2019). Effects of R&D and foreign technology transfer on productivity and innovation: an enterprises-level evidence from Bangladesh. Asian Journal of Technology Innovation, 27(1) March 2019: 46 - 70.
Singh, M. D., Apurv, R. J., Dhaval. P. G., & Varmora, P. J., (2013). Overall productivity improvement in casting and fastening industry. International Journal of Mechanical and Production Engineering (IJMPE), 1(1) July 2014: 43 - 48.