Investigating the Impact of Investments in Telecoms on Microeconomic Outcomes: Conceptual Framework and Empirical Investigation in the Context of Transition Economies

We propose and test a conceptual model allowing for the investigation of the microeconomic impact of investments in telecoms. While the impact of investments in telecoms on the macroeconomic outcomes has been previously investigated, there seems to be no published research that looked at the microeconomic impact of telecom investments. The proposed conceptual model links investments in telecoms with microeconomic constructs that are closely associated with such measure of macroeconomic bottom line as GDP; this allows us to outline a more detailed path traversed by the impact of investments. We use structural equation modeling to test the proposed model in the context of a sample of transition economies comprising two groups differing in terms of economic development. The results suggest the existence of the context-independent paths that are common to both groups; however, there is evidence that some of the impacts of investments in telecoms are dependent on the level of economic development. The results of the investigation offer valuable insights to decision and policy makers tasked with the responsibility of improving the micro- and macroeconomic impacts of investments in telecoms.

[1]  Kweku-Muata Osei-Bryson,et al.  Strategies for Telecoms to Improve Efficiency in the Production of Revenues: An Empirical Investigation in the Context of Transition Economies , 2008 .

[2]  D. Jorgenson,et al.  Raising the Speed Limit: U.S. Economic Growth in the Information Age , 2000 .

[3]  D. Siegel The Impact of Computers on Manufacturing Productivity Growth: A Multiple-Indicators, Multiple-Causes Approach , 1997, Review of Economics and Statistics.

[4]  Kenneth L. Kraemer,et al.  INFORMATION TECHNOLOGY AND PRODUCTIVITY , 1999 .

[5]  Donald S. Siegel,et al.  The Impact of Investment in IT on Economic Performance: Implications for Developing Countries , 2005 .

[6]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[7]  Gary Madden,et al.  Telecommunications productivity, catch-up and innovation , 1999 .

[8]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[9]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[10]  Robert E. Hoskisson,et al.  Strategy in Emerging Economies , 2000 .

[11]  Matti Pohjola,et al.  Information Technology, Productivity and Economic Growth , 2001 .

[12]  Marcin Piatkowski,et al.  Does ICT Investment Matter for Growth and Labor Productivity in Transition Economies? , 2003 .

[13]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[14]  J. S. Long,et al.  Testing Structural Equation Models , 1993 .

[15]  B. Ark,et al.  ICT and productivity in Europe and the United States. Where do the differences come from , 2003 .

[16]  B.B.M. Shao,et al.  Measuring the value of information technology in technical efficiency with stochastic production frontiers , 2001, Inf. Softw. Technol..

[17]  P. Schreyer The Contribution of Information and Communication Technology to Output Growth: A Study of the G7 Countries , 2000 .

[18]  Matti Pohjola,et al.  Information technology, productivity, and economic growth : international evidence and implications for economic development , 2001 .

[19]  Prashant Palvia Key IS Management Issues: Need for an International Research Program , 2006 .

[20]  Matti Pohjola,et al.  Economic growth in the New Economy: evidence from advanced economies , 2002, Inf. Econ. Policy.

[21]  Karl Whelan,et al.  Computers, Obsolescence, and Productivity , 2000, Review of Economics and Statistics.

[22]  Stephen D. Oliner,et al.  The Resurgence of Growth in the Late 1990s: Is Information Technology the Story? , 2000 .

[23]  Pun-Lee Lam,et al.  Total factor productivity measures for Hong Kong telephone , 2005 .

[24]  Kweku-Muata Osei-Bryson,et al.  Increasing the discriminatory power of DEA in the presence of the sample heterogeneity with cluster analysis and decision trees , 2008, Expert Syst. Appl..

[25]  Sergey Samoilenko Contributing factors to information technology investment utilization in transition economies: An empirical investigation , 2008 .

[26]  Narcyz Roztocki,et al.  From the Special Issue Editors: Information Technology in Transition Economies , 2011, Inf. Syst. Manag..

[27]  Kenneth L. Kraemer,et al.  Information Technology and Economic Development: Results and Policy Implications of Cross-Country Studies , 2001 .

[28]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[29]  D. Jorgenson Information Technology and the U.S. Economy , 2001 .

[30]  Narcyz Roztocki,et al.  Information Technology in Transition Economies , 2008 .

[31]  Yoris A. Au Design Science I: The Role of Design Science in Electronic Commerce Research , 2001, Commun. Assoc. Inf. Syst..

[32]  J. Nunnally Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[33]  C. Fornell A Second generation of multivariate analysis : classification of methods and implications for marketing research , 1985 .

[34]  Kweku-Muata Osei-Bryson,et al.  An exploration of the effects of the interaction between ICT and labor force on economic growth in transition economies , 2008 .

[35]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[36]  Evon M. O. Abu-Taieh,et al.  Comparative Study , 2020, Definitions.

[37]  Stephen D. Oliner,et al.  Federal Reserve Board , 2001 .

[38]  Nigel Scott,et al.  Good Practice Paper on ICTs for Economic Growth and Poverty Reduction , 2005 .

[39]  Bart van Ark,et al.  Productivity and employment growth: an empirical review of long and medium run evidence : background working paper for the world employment report 2004 , 2004 .

[40]  David Parker,et al.  Economic performance in European telecommunications, 1978-1998: a comparative study , 2002 .

[41]  Joe Zhu,et al.  Measuring Information Technology's Indirect Impact on Firm Performance , 2004, Inf. Technol. Manag..

[42]  David Gefen,et al.  Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice , 2000 .

[43]  Kenneth R. Troske,et al.  Wage and Productivity Dispersion in U.S. Manufacturing: The Role of Computer Investment , 2000, SSRN Electronic Journal.

[44]  Suzanne Rivard,et al.  Factors of success for end-user computing , 1988, CACM.

[45]  Bharat Trehan,et al.  Information technology and productivity , 2000 .

[46]  Kenneth R. Troske,et al.  Wage and Productivity Dispersion in United States Manufacturing: The Role of Computer Investment , 2004, Journal of Labor Economics.

[47]  Bin Xu,et al.  Multinational Enterprises, Technology Diffusion, and Host Country Productivity Growth , 2000 .

[48]  Susan L. Kendall,et al.  International Financial Statistics , 2013 .

[49]  K. Kraemer,et al.  : Evidence from , 2022 .

[50]  Matti Pohjola,et al.  New Economy in Growth and Development , 2002 .

[51]  Timothy O'Riordan,et al.  Europe in the new millennium , 2000 .

[52]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .

[53]  Moutaz Khouja,et al.  The use of data envelopment analysis for technology selection , 1995 .