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ICT solutions and labor productivity: evidence from firm-level data

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Abstract

This paper analyses the impacts of information and communication technology (ICT) solutions on labor productivity, i.e. revenue per employee. Based on cross-sectional data on 1955 European firms in 2005 and a linear regression model derived from the microeconomic theory of production, the impacts of six common ICT solutions in electronic commerce (e-commerce) cannot be ignored. According to the linear regression analysis, Internet access, standardized data exchange with the trading partners, enterprise resource planning (ERP) system, and customer relationship management (CRM) system contribute significant increases in labor productivity, whereas a website on the Internet, or supply chain management (SCM) system do not result in a significant increase. Especially, Internet access has a significant effect on labor productivity, and the website on the Internet has an insignificant effect.

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References

  1. Bagchi, P. K., Chun, B., Skjoett-Larsen, T., & Soerensen, L. B. (2005). Supply chain integration: a European survey. International Journal of Logistics Management, 16(2), 275–294.

    Article  Google Scholar 

  2. Banerjee, S., & Golhar, D. Y. (1994). Electronic data interchange: characteristics of users and nonusers. Information & Management, 26(1), 65–74.

    Article  Google Scholar 

  3. Brynjolfsson, E., & Hitt, L. (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541–558.

    Article  Google Scholar 

  4. Buehrer, R. E., Senecal, S., & Bolman Pullins, E. (2005). Sales force technology usage—reasons, barriers, and support: an exploratory investigation. Industrial Marketing Management, 34(4), 389–398.

    Article  Google Scholar 

  5. Buxmann, P., von Ahsen, A., Díaz, L. M., & Wolf, K. (2004). Usage and evaluation of supply chain management software—results of an empirical study in the European automotive industry. Information Systems Journal, 14(3), 295–309.

    Article  Google Scholar 

  6. Carr, N. G. (2003). IT doesn’t matter. Harvard Business Review, 81(5), 41–49.

    Google Scholar 

  7. Dedrick, J., Gurbaxani, V., & Kraemer, K. L. (2003). Information technology and economic performance: a critical review of the empirical evidence. ACM Computing Surveys, 35(1), 1–28.

    Article  Google Scholar 

  8. Dehning, B., Richardson, V. J., & Zmud, R. W. (2007). The financial performance effects of IT-based supply chain management systems in manufacturing firms. Journal of Operations Management, 25(4), 806–824.

    Article  Google Scholar 

  9. Dehning, B., & Richardson, V. J. (2002). Returns on investments in information technology: a research synthesis. Journal of Information Systems, 16(1), 7–30.

    Article  Google Scholar 

  10. e-Business W@tch (2005). The European e-business report 2005 edition: a portrait of e-business in 10 sectors of the EU economy. Office for Official Publications of the European Communities. Available from http://www.ebusiness-watch.org/key_reports/documents/EBR05.pdf.

  11. Engle, R. L., & Barnes, M. L. (2000). Sales force automation usage, effectiveness, and cost-benefit in Germany, England, and the United States. Journal of Business & Industrial Marketing, 15(4), 216–242.

    Article  Google Scholar 

  12. Falk, M. (2005). ICT-linked firm reorganisation and productivity gains. Technovation, 25(11), 1229–1250.

    Article  Google Scholar 

  13. Greene, W. H. (2003). Econometric analysis. Upper Saddle River: Prentice-Hall.

    Google Scholar 

  14. Gunasekaran, A., Marri, H. B., McGaughey, R. E., & Nebhwani, M. D. (2002). E-commerce and its impact on operations management. International Journal of Production Economics, 75(1–2), 185–197.

    Article  Google Scholar 

  15. Hendricks, K. B., Singhal, V. R., & Stratman, J. K. (2007). The impact of enterprise systems on corporate performance: a study of ERP, SCM, and CRM system implementations. Journal of Operations Management, 25(1), 65–82.

    Article  Google Scholar 

  16. Hitt, L. M., Wu, D., & Zhou, X. (2002). Investment in enterprise resource planning: business impact and productivity measures. Journal of Management Information Systems, 19(1), 71–98.

    Article  Google Scholar 

  17. Hunton, J. E., Lippincott, B., & Reck, J. L. (2003). Enterprise resource planning systems: comparing firm performance of adopters and nonadopters. International Journal of Accounting Information Systems, 4(3), 165–184.

    Article  Google Scholar 

  18. Laudon, J. P., & Laudon, K. C. (2006). Essentials of business information systems. Upper Saddle River: Prentice-Hall.

    Google Scholar 

  19. Lee, H. G., Clark, T., & Tam, K. Y. (1999). Can EDI benefit adopters? Information Systems Research, 10(2), 186–195.

    Article  Google Scholar 

  20. Manecke, N., & Schoensleben, P. (2004). Cost and benefit of Internet-based support of business processes. International Journal of Production Economics, 87(3), 213–229.

    Article  Google Scholar 

  21. Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2), 407–437.

    Article  Google Scholar 

  22. Mukhopadhyay, T., & Kekre, S. (2002). Strategic and operational benefits of electronic integration in B2B procurement processes. Management Science, 48(10), 1301–1313.

    Article  Google Scholar 

  23. Mukhopadhyay, T., Kekre, S., & Kalathur, S. (1995). Business value of information technology: a study of electronic data interchange. MIS Quarterly, 19(2), 137–156.

    Article  Google Scholar 

  24. Nath, R., Akmanligil, M., Hjelm, K., Sakaguchi, T., & Schultz, M. (1998). Electronic commerce and the Internet: issues, problems, and perspectives. International Journal of Information Management, 18(2), 91–101.

    Article  Google Scholar 

  25. Olhager, J., & Selldin, E. (2003). Enterprise resource planning survey of Swedish manufacturing firms. European Journal of Operational Research, 146(2), 365–373.

    Article  Google Scholar 

  26. Porter, M. (2001). Strategy and the Internet. Harvard Business Review, 79(3), 63–78.

    Google Scholar 

  27. Poston, R., & Grabski, S. (2001). Financial impacts of enterprise resource planning implementations. International Journal of Accounting Information Systems, 2(4), 271–294.

    Article  Google Scholar 

  28. Saeed, K. H., Grover, V., & Hwang, Y. (2005). The relationship of e-commerce competence to customer value and firm performance: an empirical investigation. Journal of Management Information Systems, 22(1), 223–256.

    Google Scholar 

  29. Sánchez, J. I. L., Minguela Rata, B., Rodríguez Duarte, A., & Sandulli, F. D. (2006). Is the Internet productive? A firm-level analysis. Technovation, 26(7), 821–826.

    Article  Google Scholar 

  30. Scala, S., & McGrath, R. (1993). Advantages and disadvantages of electronic data interchange: an industry perspective. Information & Management, 25(2), 85–91.

    Article  Google Scholar 

  31. Sherer, S. A. (2005). From supply-chain management to value network advocacy: implications for e-supply chains. Supply Chain Management: An International Journal, 10(2), 77–83.

    Article  Google Scholar 

  32. Solow, R. M. (1987). We’d better watch out. New York Times Book Review (12 July), 36.

  33. Teo, T. S. H., & Pian, Y. (2004). A model for web adoption. Information & Management, 41(4), 457–468.

    Article  Google Scholar 

  34. Varian, H., Litan, R. E., Elder, A., & Shutter, J. (2002). The net impact study: the projected economic benefits of the Internet in the United States, United Kingdom, France and Germany. Net Impact Research Series. Available from http://www.netimpactstudy.com/NetImpact_Study_Report.pdf.

  35. Venkatraman, N., & Zaheer, A. (1990). Electronic integration and strategic advantage: a quasi-experimental study in the insurance industry. Information Systems Research, 1(4), 377–393.

    Article  Google Scholar 

  36. Zhu, K., & Kraemer, K. L. (2002). E-commerce metrics for net-enhanced organizations: assessing the value of e-commerce to firm performance in the manufacturing sector. Information Systems Research, 13(3), 275–295.

    Article  Google Scholar 

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  1. Frends Technology Oy, Taivaltie 5, 01610, Vantaa, Finland

    Juha-Miikka Nurmilaakso

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  1. Juha-Miikka Nurmilaakso
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Correspondence to Juha-Miikka Nurmilaakso.

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Nurmilaakso, JM. ICT solutions and labor productivity: evidence from firm-level data. Electron Commer Res 9, 173–181 (2009). https://doi.org/10.1007/s10660-009-9034-4

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  • DOI: https://doi.org/10.1007/s10660-009-9034-4

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