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Heterogeneous effects of different factors on global ICT adoption

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  • Yu, Tiffany Hui-Kuang

Abstract

Numerous studies focus on the analysis of the effects of different factors on global information and communication technology (ICT) adoption. Due to the limitations of the least squares method in showing the impact of the estimated coefficients on the mean, this study applies quantile regression to examine the heterogeneous effects of various factors on global ICT adoption. This study finds that the impacts on the tail quantiles can be very different from the impacts on the conditional means. The empirical results show that the effects at different quantile levels are very different from those at their counterpart conditional means. We also provide relevant explanations for the effects.

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File URL: http://www.sciencedirect.com/science/article/pii/S0148296311002049
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Business Research.

Volume (Year): 64 (2011)
Issue (Month): 11 ()
Pages: 1169-1173

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Handle: RePEc:eee:jbrese:v:64:y:2011:i:11:p:1169-1173

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Web page: http://www.elsevier.com/locate/jbusres

Related research

Keywords: Internet; Quantile regression; GDP; Ordinary least squares;

References

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  1. Nasco, Suzanne Altobello & Toledo, Elizabeth Grandón & Mykytyn Jr., Peter P., 2008. "Predicting electronic commerce adoption in Chilean SMEs," Journal of Business Research, Elsevier, vol. 61(6), pages 697-705, June.
  2. Huarng, Kun-Huang, 2010. "Essential research in technology management," Journal of Business Research, Elsevier, vol. 63(5), pages 451-453, May.
  3. Vicente, Maria Rosalia & Lopez, Ana Jesus, 2006. "Patterns of ICT diffusion across the European Union," Economics Letters, Elsevier, vol. 93(1), pages 45-51, October.
  4. Roger Koenker, 2000. "Inference on the Quantile Regression Process," Econometric Society World Congress 2000 Contributed Papers 0886, Econometric Society.
  5. Wong, Poh-Kam, 2002. "ICT production and diffusion in Asia Digital dividends or digital divide?," Information Economics and Policy, Elsevier, vol. 14(2), pages 167-187, June.
  6. Corrocher, Nicoletta & Fontana, Roberto, 2008. "Objectives, obstacles and drivers of ICT adoption: What do IT managers perceive?," Information Economics and Policy, Elsevier, vol. 20(3), pages 229-242, September.
  7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  8. Wu, Feng-Shang & Chu, Wen-Lin, 2010. "Diffusion models of mobile telephony," Journal of Business Research, Elsevier, vol. 63(5), pages 497-501, May.
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Citations

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Cited by:
  1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2014. "A new quantile regression forecasting model," Journal of Business Research, Elsevier, vol. 67(5), pages 779-784.
  2. Seo, Joo Hwan & Perry, Vanessa G. & Tomczyk, David & Solomon, George T., 2014. "Who benefits most? The effects of managerial assistance on high- versus low-performing small businesses," Journal of Business Research, Elsevier, vol. 67(1), pages 2845-2852.
  3. Chen, Yi-Min & Yang, De-Hsin & Lin, Feng-Jyh, 2013. "Does technological diversification matter to firm performance? The moderating role of organizational slack," Journal of Business Research, Elsevier, vol. 66(10), pages 1970-1975.

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