Impact of information technology on productivity and efficiency in Iranian manufacturing industries
Tóm tắt
The aim of this
paper is to assess the impact of information technology (IT) on the productivity and efficiency of manufacturing industries in Iran.
So, the data will be collected from 23 Iranian manufacturing industries during “2002–2006” and the methods such as DEA and panel data used to study the
subject. Results obtained by the above two methods represent that IT has a positive and statistically significant effect on the productivity of manufacturing industries. It will be more in high IT-intensive industries than the other industries. But, there is no significant
difference between the growth of labor productivity in IT-producing and IT-using industries.
Từ khóa
Tài liệu tham khảo
Ark B, van Inklaar R, McGuckin R, (2002) “Changing gear”: productivity, ICT and services industries: Europe and the United States, Research Memorandum GD-60, Groningen Growth and Development Centre, University of Groningen, Groningen. http://www.eco.rug.nl/ggdc/pub/online/gd60
Badescu M, Garcés-Ayerbe C (2009) The impact of information technologies on firm productivity: empirical evidence from Spain. Technovation 29:122–129
Baltagi BH (2005) Analysis of panel data, 3rd edn. Wiley, New York
Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30(9):1078–1092
Branjelfson E, Hitt L (2000) Beyond computation: information technology and, organization transformation and business performance. J Econ Presp 14(4):23–48
Cardona M, Kretschmer T, Strobel T (2013) ICT and productivity: conclusions from the empirical literature. Inf Econ Policy 25(3):109–125. doi:10.1016/j.infoecopol.2012.12.002
Carol AC et al. (2008) Sectoral productivity in the United States: recent development and the role of IT. In: Proceedings of productivity measurement and analysis, OECD publishing, p 437. https://www1.oecd.org/std/productivity-stats/44516351
Charnes A, Cooper WW, Rhodes E (1978) Measuring the efficiency of decision making units. Eur J Op Res 2:429–444
Cooper W, Seiford L, Tone K (2002) Data envelopment analysis a comprehensive text with models applications references. Kluwer academic publishers, DEA solved software, (third printing)
Dedrick J, Gurbaxani V, Kraemer KL (2003) Information technology and economic performance: a critical review of the empirical evidence. ACM Comput Surv 35(1):1
Dos Santos BL, Peffers KG, Mauer DC (1993) The impact of information technology investment announcements on the market value of the firm. Inf Syst Res 4(1):1–23
Engelbrecht HJ, Xayavong V (2006) ICT intensity and New Zealand’s productivity malaise: is the glasshalf empty or half full? Inf Econ Policy 18:24–42
Färe R, Grosskopf S, Lindgren B, Roos P (1992) Productivity change in swedish pharmacies 1980–1989: a non-parametric Malmquist approach. J Prod Anal 3:85–102
Farooquie P, Gani A, Zuberi A, Hashemi I (2012) An emprical study of innovation-performance linkage in the paper industry. J Ind Eng Int 8:23
Fernandez-Menendez J, Lopez-Sanchez JI, Rodriguez-Duarte A, Sandulli FD (2009) Technical efficiency and use of information and communication technology in Spanish firms. Telecommun Policy 33:348–359
Gholami R, Moshiri S, Lee SYT (2004) ICT and productivity of the manufacturing industries in Iran. EJISDC 19(4):1–19
Gilchrist S, Gurbaxani V, Town R (2001) Productivity and the PC revolution, Center for Research on Information Technology and Organizations
Golrizgashti S (2014) Supply chain value creation methodology under BSC approach. J Ind Eng Int 10:67
Hitt LM, Brynjolfsson E (1996) Productivity, business profitability, and consumer surplus: three different measures of information technology value. MIS Quarterly 20(2):121–142
Hitt LM, Tambe P (2006) Measuring spillovers from information technology investments. ICIS Proceedings (108)
Jorgenson DW (2002) Econometrics. In: Proceedings of Economic growth in the information age, vol 3. MIT Press, Cambridge
Ko M, Osei-Bryson KM (2004) The productivity impact of information technology in the healthcare industry: an empirical study using a regression spline-based approach. Inf Softw Technol 46:65–73
Lee B, Menon N (2000) Information technology value through different normative lenses. J Manag Inf Syst 16(4)99–119
Loveman GW (1994) An assessment of the productivity impact of information technologies. In: Allen TJ, Scott Morton MS (eds) Information technology and the corporation of the 1990s: research studies. Oxford University Press, pp 84–110
Makui A, Alinezhad A, Zohrehbandian M (2008) Practical common weights MOLP approach for efficiency analysis. J Ind Eng Int 4(6):57–63
Malmquist S (1953) Index numbers and indifference surfaces. Trabajos de Estatistica 4:209–242
Mankiw NG, Romer D, Weil D (1992) A contribution to the empirics of economic growth. Q J Econ 107(2):407–437
Menon N, Lee B, Eldenburg L (2000) Productivity of information systems in the healthcare industry. Inf Syst Res 11(1):83–92
Mouelhi RBA (2009) Impact of the adoption of information and communication technologies on firm efficiency in the Tunisian manufacturing sector. Econ Model 26:961–967
Perminov S, Egorova E (2005) ICT impact on labor productivity and employment in Russia, TIGER working paper series, no 30
Prasad B, Harker P (1997) Examining the contribution of information technology toward productivity and profitability in US retail banking, working paper no. 97-09, financial institutions center. The Wharton School
Romer D (1990) Staggered price setting with endogenous frequency of adjustment. Econ Lett 32:205–210
Saati S (2008) Determining a common set of weights in DEA by solving a linear programming. J Ind Eng Int 4(6):51–65
Saniee MMA, Safi M (2013) Network DEA: an application to analysis of academic performance. J Ind Eng 9:15
Satapathy S, Mishra P (2013) A customer oriented systematic framework to extract business strategy in Indian electricity services. J Ind Eng Int 9:33
Shao BBM, Lin WT (2001) Measuring the value of information technology in technical efficiency with stochastic production frontiers. Inf Softw Technol 43:447–456
Shu WS, Lee S (2003) Beyond productivity-productivity and the three types of efficiencies of information technology industries. Inf Softw Technol 45:513–524
Srinivasa Rao M, Naikan VNA (2014) Reliability analysis of repairable systems using system dynamics modeling and simulation. J Ind Eng Int 10:69
Stiroh K (2002) Information technology and the US productivity revival: what do the industry data say? Am Econ Rev 92(5):1559–1576
Strassmann PA (1990) The business value of computers: an executive’s guide. Information Economics Press, New Canaan
Tohidi G, Khodadadi M (2013) Allocation models for DMUs with negative data. J Ind Eng Int 9:16
Weill P (1992) The relationship between investment in information technology and firm performance: a study of the valve manufacturing sector. Inf Syst Res 3(4):307–333