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IJSTR >> Volume 4 - Issue 5, May 2015 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Productivity Measurement Of Technical Institute

[Full Text]

 

AUTHOR(S)

Miss.Pooja Yadav, Col.Sachin Marwah

 

KEYWORDS

Keywords: National Development, productivity, Occupation, Skill Acquisition, Technical Education

 

ABSTRACT

Abstract: The increasing concern over globalization between other things has made the achievement of lifetime skills vital for all classes of people. Achievement of such skills can be developed from technical education programs in the advance of any nation. Skill gaining provides knowledge and inculcates the approaches that are essential for arrival and progress into an occupation. When skills are developed in any occupation, it will provide and improve the standard of living with the cover beside poverty, thereby behind national development. This paper observes sampling distribution and moving average concept that how technical education can generate the required skills, the significance of skill acquisition, its roles, benefits and sustainability in national development. It also mentions among others that government should look into and improve productivity that can encourage skill achievement for the youths. The solutions are divided the sampling box into few group before stacking up workstation, and use table and some other wood product. Cost reduction for each solution was intended and the solution with highest cost decrease is chosen to increase the productivity of the college.

 

REFERENCES

[1] Ellram, L. et al. (1999). Retail logistics. International Journal of Physical Distribution & Logistics Management, 29(7/8), pp. 477-494.

[2] Brown, J. et al. (2005). Supply chain management and the evolution of the ‘Big Middle’. Journal of Retailing, 81(2), pp. 97-105.

[3] Bridges, E. & Freytag, P. (2009). When do firms invest in offensive and/or defensive marketing? Journal of Business Research, 62(7), pp. 745-749.

[4] Melville, N. et al. (2004). Information technology and organizational performance: an integrative model of IT business value. MIS Quarterly, 28(2), pp. 283-322.

[5] Tsai, W. & Tang, L. (2012). A model of the adoption of radio frequency identification technology: the case of logistics service firms. Journal of Engineering and Technology Management, 29(1), pp. 131-151.

[6] Phuong, T. (2008). Internet use, Customer Relationships and loyalty in the Vietnamese travel industry. Asia Pacific Journal of Marketing and Logistics, 20, pp. 190-210.

[7] UNCTAD, (2004). E-Commerce and Development Report. [Online]. United Nations Conference on Trade and Development. Retrieved December17,2013,from http://unctad.org/en/Docs/ecdr2004overview_en.pdf.

[8] Battisti, G. & Iona, A. (2009). The UK productivity gap in the service sector: do management practices matter? International Journal of Productivity and Performance Management, 58(8), pp. 727-747.

[9] Lin, W. (2009). The business value of information technology as measured by technical efficiency:Evidence from country-level data. Decision Support Systems, 46(4), pp. 865-874.

[10] Fuentelsaz, L. et al. (2009). The effects of new technologies on productivity: An intra-firm diffusionbasedassessment. Research Policy, 38(7), pp. 1172-1180.

[11] Zain, M. et al. (2005). The relationship between information technology acceptance andorganizational agility in Malaysia. Information & Management, 42(6), pp. 829-839.

[12] Davis, B. (2001). An Emerging Issue: Knowledge Worker Productivity and Information Technology.Information Science Conference, Krokow - Poland.

[13] Huang, H., & Hsu, J. (2005). An evaluation of publication productivity in information systems:1999 to 2003.Communications of the Association for Information Systems, 15, 555-564. Retrieved fromhttp://ai.arizona.edu/news/AIS05ISProductivity.pdf

[14] Lertputtarak, S. (2008). An investigation of factors related to research productivity in a public university inThailand: A case strudy (unpublished dissertation). Victoria University, Melbourne, Australia.

[15] Wichian, S., Wongwanich, S. & Bowarnkitiwong, S., (2009). Factors Affecting Research Productivity of FacultyMembers in Government Universities: Lisrel and Neural Network Analyses. Kasetsart Journal (Soc. Sci),30, 67-78. Retrieved from http://kasetsartjournal.ku.ac.th/kuj_files/2009/A0906251543307343.pdf

[16] Nuqui, A., & Cruz, R. (2012). Determinants of faculty research productivity in Augustinian Higher EducationInstitutions in Luzon. IAMURE International Journal of Education, 3, 56-74. http://dx.doi.org/10.7718/iamure.ije.v3i1.191

[17] Brambila, C., Veloso, F., & Morgan, G. (2007). The determinants of research productivity: a study of Mexicanre searchers. Department of Engineering and Public Policy. Paper 133. Retrieved from http://repository.cmu.edu/epp/133