International Journal of Academic Research in Business and Social Sciences

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Designing a Model for Measuring Manpower Productivity in the Project-based Service Organizations (Electricity Company as Case Study)

Open access

Abolfazl Sherafat, Ahmad Vatankhah Tafti, Ahmad Reza Yazdani, Sayyed Mohammad Reza Davoodi

Pages 70-85 Received: 26 Dec, 2012 Revised: 16 Jan, 2013 Published Online: 08 Feb, 2013

http://dx.doi.org/10.46886/IJARBSS/v3-i2/21320
Manpower productivity index is one of the most important productivity measures. This index is the ratio of added-value to number of the employees (or the employee’s salaries). Regarding this fact that manpower cost, annual depreciation, and annual profit is almost fixed and isn’t indicative of the organizations actual performance, therefore measuring added-value in the common methods is fixed and unrealistic and is not function of the organizational performance. Therefore, with respect to the project-based nature of such organizations, a large amount of their budget is spent for the projects in progress and hence measuring the added-value through the common formula and without considering projects means that large amount of the organizations capital and manpower, which are involved in the project implementation, are not considered in measuring added-value. Therefore, in order to measure the actual performance of the organization, the added-value that is gained from the projects future exploitation should be added to its added-value.

In the designed model, added-value is calculated so that all of the organizations outputs include current activities and also the investments that will be exploited in the future. As a result, the calculated value is overall reflects of the organizations performance and also manpower productivity is calculated actually.

In order to measure the productivity in this method, the actual added-value that is achieved from offering the services should be extracted from financial statements. In order to measure the added-value of the projects in progress, the future incomes from their exploitation are simulated during the projects lifetime and then take from maintenance costs and inputs; its present value is calculated for the base year through engineering economics formula.

Since, manpower productivity is the ratio of added-value to the organizations manpower, it is possible to measure every units and employee’s productivity through determining every their role by organizational excellence models in creating the added-value and then determining their role in the units added-value.

The designed model is implemented in an organization with the mission of supplying and distributing the electricity energy and then every units productivity in this organization is calculated through this method.
1- Sonmez, R., and Rowings, J. E. _1998_. “Construction labor productivity modeling with neural networks.” J. Constr. Eng. Manage., 124_6_, 498–504.
2- Sander, S. R., and Thomas, H. R. _1993_. “Masonry productivity forecasting model.” J. Constr. Eng. Manage., 119_1_, 163–179.
3- Zayed, T. M., and Halpin, D. W. _2005_. “Pile construction productivity assessment.” J. Constr. Eng. Manage., 131_6_, 705–714.
4- Tisher, T. E., and Kuprenas, J. A. _2003_. “Bridge falsework productivity—Measurement and influences.” J. Constr. Eng. Manage.,
129_3_, 243–250.
5- Smith, S. D. _1999_ “Earthmoving productivity estimation using linear regression techniques.” J. Constr. Eng. Manage., 125_3_, 133–141.
6- Thomas, H. R., and Sakarcan, A. S. _1994_. “Forecasting labor productivity using factor model.” J. Constr. Eng. Manage., 120_1_, 228–239.
7- Fayek, A. R., and Oduba, A. _2005_. “Predicting industrial construction labor productivity using fuzzy expert systems.” J. Constr. Eng. Manage., 131_8_, 938–941.
8- Lingguang Song, M.ASCE; and Simaan M. AbouRizk, M.ASCE (2008) "Measuring and Modeling Labor Productivity Using Historical Data" J. Constr. Eng. Manage. 134:10(786)
9- Diewert WE, Nakamura AO (2003) Index number concepts, measures and decompositions of productivity growth. J Prod Anal 19: 127–159
10- Schreyer P (2001) Measuring productivity: measuring aggregate and industry level productivity growth. OECD, Paris
11- Schreyer P (2009a) Measuring capital, statistics directorate, national accounts, STD/NAD (2009)1. OECD, Paris
12- W. E. Diewert (2011) " Measuring productivity in the public sector: some conceptual problems " J Prod Anal 36:177–191
13- Pearce, D. (2003) The Social and Economic Value of Construction, nCRISP, London (available at: http://www.crispuk.
org.uk/reports/SocialandEconomicValue_FR03.pdf).
14- O’Mahony, M. and De Boer, W. (2002) Britain’s Relative Productivity Performance: Updates to 1999, NIESR, London
(Available at: http://www.niesr.ac.uk/research/BRPP02.pdf).
15- Woudhuysen, J. (2004) Review of Chapter 7 of the Pearce
Report. Paper presented at the nCRISP Colloquium, May
2004.
16- Flanagan, R., Cattell, K. and Jewell, C. (2005) Moving from
Construction Productivity to Construction Competitiveness:
Measuring Value Not Output, University of Reading,
Reading.
17- Paul Crawford and Bernard Vogl (2006) "Measuring productivity
In the construction industry "BUILDING RESEARCH & INFORMATION 34(3), 208–219