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Strategies for Telecoms to Improve Efficiency in the Production of Revenues: An Empirical Investigation in the Context of Transition Economies

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  • Sergey Samoilenko
  • Kweku-Muata Osei-Bryson

Abstract

Despite sharing a common label, Transition Economies (TE) do not constitute a homogenous group; rather, these countries differ in many ways, including the level of economic development. These differences preclude TEs from adapting a uniform strategy towards increasing the level of relative efficiency of production of revenues from investments in Telecoms. In this study, conducted in the context of 18 TEs, we address two research questions. The first involves the identification of strategies appropriate to each TE for increasing the level of the relative efficiency of the production of revenue from Telecoms. The second question involves the identification of the appropriate implementation routes of the identified strategy. In order to answer the research questions of this study, we draw theoretical support from the framework of Neoclassical Growth Accounting and employ a three-step methodology utilizing Decision Trees, Neural Networks, and Data Envelopment Analysis.

Suggested Citation

  • Sergey Samoilenko & Kweku-Muata Osei-Bryson, 2008. "Strategies for Telecoms to Improve Efficiency in the Production of Revenues: An Empirical Investigation in the Context of Transition Economies," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 11(4), pages 56-75, October.
    • Handle: RePEc:taf:ugitxx:v:11:y:2008:i:4:p:56-75
    DOI: 10.1080/1097198X.2008.10856479
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    Cited by:

    1. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2008. "An exploration of the effects of the interaction between ICT and labor force on economic growth in transition economies," International Journal of Production Economics, Elsevier, vol. 115(2), pages 471-481, October.
    2. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2013. "Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system," Omega, Elsevier, vol. 41(1), pages 131-142.
    3. Sergey Valery Samoilenko, 2013. "Investigating factors associated with the spillover effect of investments in telecoms: Do some transition economies pay too much for too little?," Information Technology for Development, Taylor & Francis Journals, vol. 19(1), pages 40-61, January.

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