ICT Laws, Uncertainty Avoidance, and ICT Diffusion: Insights from Cross-Country Data

  • Anupriya Khan
  • Satish KrishnanEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 558)


The economic future of a country depends on the degree to which information and communication technologies (ICTs) diffuse among its key stakeholders—citizens, businesses, and government. Yet, there is a dearth of cross-country analysis of ICT diffusion jointly examining technology diffusion among these key stakeholders in a single research model. Further, while environmental factors are significant for ICT diffusion, there is limited understanding on the impact of ICT laws on ICT diffusion among these three stakeholders across countries. Drawing on the literature on ICT diffusion and Hofstede’s typology of national culture, this study contends that ICT laws in a country can positively influence the ICT diffusion among its citizens, businesses, and the government, and these relationships can be contingent on the national cultural dimension of uncertainty avoidance. The proposed research model is examined using publicly available archival data from 90 countries. The findings suggest that sound ICT laws are necessary for achieving a greater diffusion of ICTs among citizens, businesses, and the government in a country. Further, the study provides important implications that would encourage future research on the phenomenon.


ICT laws Uncertainty avoidance ICT diffusion Citizens Businesses Government 


  1. 1.
    Keller, W.: International technology diffusion. J. Econ. Literature XLII, 752–782 (2004)CrossRefGoogle Scholar
  2. 2.
    Charoensukmongkol, P., Moqbel, M.: Does investment in ICT curb or create more corruption? A cross-country analysis. Public Organ. Rev. 14(1), 51–63 (2012)CrossRefGoogle Scholar
  3. 3.
    Bollou, F., Ngwenyama, O.: Are ICT investments paying off in Africa? An analysis of total factor productivity in six West African countries from 1995 to 2002. Inf. Technol. Dev. 14(4), 294–307 (2008)CrossRefGoogle Scholar
  4. 4.
    Kramer, W., Jenkins, B., Katz, R.: The Role of the Information and Communications Technology Sector in Expanding Economic Opportunity. Harvard University, Cambridge (2007)Google Scholar
  5. 5.
    Lee, S., Nam, Y., Lee, S., Son, H.: Determinants of ICT innovations: a cross-country empirical study. Technol. Forecast. Soc. Change 110, 71–77 (2016)CrossRefGoogle Scholar
  6. 6.
    Khan, A., Krishnan, S.: Conceptualizing the impact of corruption in national institutions and national stakeholder service systems on e-government maturity. Int. J. Inf. Manag. 46, 23–36 (2019)CrossRefGoogle Scholar
  7. 7.
    Xiao, X., Califf, C.B., Sarker, S., Sarker, S.: ICT innovation in emerging economies: a review of the existing literature and a framework for future research. J. Inf. Technol. 28, 264–278 (2013)CrossRefGoogle Scholar
  8. 8.
    GITR: The Global Information Technology Report. World Economic Forum (2016)Google Scholar
  9. 9.
    Srivastava, S., Teo, T.: E-government, e-business, and national economic performance. Commun. Assoc. Inf. Syst. 26, 267–286 (2010)Google Scholar
  10. 10.
    Rogers, E.: Diffusion of Innovations, 3rd edn. Free Press, New York (1983)Google Scholar
  11. 11.
    Rogers, E.: Diffusion of Innovations, 4th edn. Free Press, New York (1995)Google Scholar
  12. 12.
    Rosenberg, N.: Factors affecting diffusion of technology. Explor. Econ. History 10(1), 3–33 (1972)CrossRefGoogle Scholar
  13. 13.
    Erumban, A.A., Jong, S.B.: Cross-country differences in ICT adoption: a consequence of culture? J. World Bus. 41(4), 302–314 (2006)CrossRefGoogle Scholar
  14. 14.
    Larosiliere, G.D., Carter, L.D., Meske, C.: How does the world connect? Exploring the global diffusion of social network sites. J. Assoc. Inf. Sci. Technol. 68(8), 1875–1885 (2017)CrossRefGoogle Scholar
  15. 15.
    Leidner, D., Kayworth, T.: A review of culture in information systems research: towards a theory of information technology culture conflict. MIS Q. 30(2), 357–399 (2006)CrossRefGoogle Scholar
  16. 16.
    Abukhzam, M., Lee, A.: Factors affecting bank staff attitude towards E-banking adoption in Libya. Electron. J. Inf. Syst. Dev. Countries 42(2), 1–15 (2010)Google Scholar
  17. 17.
    Brown, D.H., Thompson, S.: Priorities, policies and practice of E-government in a developing country context: ICT infrastructure and diffusion in Jamaica. Eur. J. Inf. Syst. 20(3), 329–342 (2011)CrossRefGoogle Scholar
  18. 18.
    Qu, W., Pinsonneault, A.: Country environments and the adoption of IT outsourcing. J. Glob. Inf. Manag. 19, 30–50 (2011)CrossRefGoogle Scholar
  19. 19.
    UN-Report: Information and communication technology policy and legal issues for Central Asia. United Nations, New York and Geneva (2007)Google Scholar
  20. 20.
    Liang, H., Xue, Y.: Avoidance of information technology threats: a theoretical perspective. MIS Q. 33(1), 71–90 (2009)CrossRefGoogle Scholar
  21. 21.
    Bhattacherjee, A., Shrivastava, U.: The effects of ICT use and ICT Laws on corruption: a general deterrence theory perspective. Gov. Inf. Q. 35(4), 703–712 (2018)CrossRefGoogle Scholar
  22. 22.
    Straub, D.W.: The effect of culture on IT diffusion: E-mail and FAX in Japan and the U.S. Inf. Syst. Res. 5(1), 23–47 (1994)CrossRefGoogle Scholar
  23. 23.
    Maitland, C., Bauer, J.: National level culture and global diffusion: the case of the Internet. In: Ess, C. (ed.) Culture, Technology, Communication: Towards an Intercultural Global Village, pp. 87–128. State University of New York Press, Albany (2001)Google Scholar
  24. 24.
    Veiga, J.F., Floyd, S., Dechant, K.: Towards modeling the effects of national culture on IT implementation. J. Inf. Technol. 16(3), 145–158 (2001)CrossRefGoogle Scholar
  25. 25.
    Zhao, F.: Impact of national culture on e-government development: a global study. Internet Res. 21(3), 362–380 (2011)CrossRefGoogle Scholar
  26. 26.
    Hofstede, G.: Cultural Consequences: International Differences in Work-Related Values. Sage Publications, Beverly Hills (1980)Google Scholar
  27. 27.
    Hofstede, G.: Cultural dimensions in management and planning. Asia Pac. J. Manag. 1, 81–99 (1984)CrossRefGoogle Scholar
  28. 28.
    Attewell, P.: Technology diffusion and organizational learning: the case of business computing. Organ. Sci. 3(1), 1–19 (1992)CrossRefGoogle Scholar
  29. 29.
    Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRefGoogle Scholar
  30. 30.
    Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRefGoogle Scholar
  31. 31.
    Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)CrossRefGoogle Scholar
  32. 32.
    Tornatzky, L., Fleischer, M.: The Process of Technology Innovation. Lexington Books, Lexington (1990)Google Scholar
  33. 33.
    DiMaggio, P.J., Powell, W.W.: The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. Am. Sociol. Rev. 48, 147–160 (1983)CrossRefGoogle Scholar
  34. 34.
    Teo, T.S., Ranganathan, C., Dhaliwal, J.: Key dimensions of inhibitors for the deployment of web-based business-to-business electronic commerce. IEEE Trans. Eng. Manag. 53(3), 395–411 (2006)CrossRefGoogle Scholar
  35. 35.
    Zhu, K., Kraemer, K.: Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Inf. Syst. Res. 16, 61–84 (2005)CrossRefGoogle Scholar
  36. 36.
    Krishnan, S., Lymm, J.: Determinants of virtual social networks diffusion: insights from cross-country data. Comput. Hum. Behav. 54, 691–700 (2016)CrossRefGoogle Scholar
  37. 37.
    Kuan, K., Chau, P.: A perception based model for EDI adoption in small business using a technology-organization-environment framework. Inf. Manag. 38, 507–512 (2001)CrossRefGoogle Scholar
  38. 38.
    Wolf, M., Beck, R., König, K.: Environmental dynamics as driver of on-demand computing infrastructures—empirical insights from the financial services industry in UK. In: Proceedings of the European Conference on Information Systems (ECIS), article 242, Barcelona, Spain (2012)Google Scholar
  39. 39.
    Boyer-Wright, K., Kottemann, J.: High-level factors affecting global availability of online government services. In: Proceedings of the 41st Hawaii International Conference on System Sciences, pp. 199–205. IEEE, Waikoloa (2008)Google Scholar
  40. 40.
    Sørnes, J.-O., Stephens, K.K., Sætre, A.S., Browning, L.D.: The reflexivity between ICTs and business culture: applying Hofstede’s theory to compare Norway and the United States. Informing Sci. J. 7, 1–30 (2004)CrossRefGoogle Scholar
  41. 41.
    Myers, M., Tan, F.: Beyond models of national culture in information systems research. J. Glob. Inf. Manag. 10(1), 24–32 (2002)CrossRefGoogle Scholar
  42. 42.
    Srite, M., Karahanna, E.: The role of espoused national cultural values in technology acceptance. MIS Q. 30(3), 679–704 (2006)CrossRefGoogle Scholar
  43. 43.
    Dotan, A., Zaphiris, P.: A cross-cultural analysis of Flickr users from Peru, Israel, Iran, Taiwan and the United Kingdom. Int. J. Web Based Communities 6(3), 284–302 (2010)CrossRefGoogle Scholar
  44. 44.
    Hofstede, G.: Cultures and Organizations: Software of the Mind. McGraw-Hill, New York (1991)Google Scholar
  45. 45.
    Hofstede, G.: Culture’s Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations. Sage Publications, Thousand Oaks (2001)Google Scholar
  46. 46.
    Hofstede, G., Hofstede, G., Minkov, M.: Cultures and Organizations: Software of the Mind. McGraw-Hill, New York (2010)Google Scholar
  47. 47.
    Jarvenpaa, S.: Panning for gold in information systems research: ‘Second-hand’ data. In: Nissen, H.E., Klein, H.K., Hirschheim, R. (eds.) Information Systems Research: Contemporary Approaches and Emergent Traditions, IFIP TC/WG 8.2, pp. 63–80. Alfred Waller Ltd., North Holland (1991)Google Scholar
  48. 48.
    ITU: Measuring the Information Society. International Telecommunication Union (2016)Google Scholar
  49. 49.
    UN-Report: United Nations E-Government Survey Report 2016. United Nations, New York (2016)Google Scholar
  50. 50.
    GITR: The Global Information Technology Report. World Economic Forum (2015)Google Scholar
  51. 51.
    GCR: The Global Competitiveness Report. World Economic Forum (2015)Google Scholar
  52. 52.
    Gujarati, D., Porter, D.: Basic Econometrics. McGraw-Hill, New York (2009)Google Scholar
  53. 53.
    Fox, J.: Regression Diagnostics. Sage Publications, Newbury Park (1991)CrossRefGoogle Scholar
  54. 54.
    Greene, W.: Econometric Analysis, 7th edn. Pearson, Boston (2012)Google Scholar
  55. 55.
    Cohen, J., Cohen, P.: Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Lawrence Erlbaum, Hillsdale (1983)Google Scholar
  56. 56.
    Aiken, L., West, S.: Multiple Regression: Testing and Interpreting Interactions. Sage Publications, Thousand Oaks (1991)Google Scholar
  57. 57.
    Hair, J.F., Anderson, R.E., Tatham, R.L., Black, W.C.: Multivariate Data Analysis with Readings. Prentice Hall, Englewood Cliffs (2006)Google Scholar
  58. 58.
    Ministry of Electronics and Information Technology, Government of India. Accessed 26 Mar 2019
  59. 59.
    Kapoor, K.K., Dwivedi, Y.K., Williams, M.D.: Rogers’ innovation adoption attributes: a systematic review and synthesis of existing research. Inf. Syst. Manag. 31(1), 74–91 (2014)CrossRefGoogle Scholar
  60. 60.
    Kapoor, K.K., Dwivedi, Y.K., Williams, M.D.: Innovation adoption attributes: a review and synthesis of research findings. Eur. J. Innov. Manag. 17(3), 327–348 (2014)CrossRefGoogle Scholar
  61. 61.
    Dwivedi, Y.K., Rana, N.P., Janssen, M., Lal, B., Williams, M.D., Clement, M.: An empirical validation of a unified model of electronic government adoption (UMEGA). Gov. Inf. Q. 34(2), 211–230 (2017)CrossRefGoogle Scholar
  62. 62.
    Dwivedi, Y.K., Rana, N.P., Jeyaraj, A., Clement, M., Williams, M.D.: Re-examining the unified theory of acceptance and use of technology (UTAUT): towards a revised theoretical model. Inf. Syst. Front. 1–16 (2017).
  63. 63.
    Williams, M.D., Rana, N.P., Dwivedi, Y.K.: The unified theory of acceptance and use of technology (UTAUT): a literature review. J. Enterprise Inf. Manag. 28(3), 443–488 (2015)CrossRefGoogle Scholar
  64. 64.
    Dwivedi, Y.K., Wade, M.R., Schneberger, S.L. (eds.): Information Systems Theory: Explaining and Predicting Our Digital Society, vol. 1. Springer, Heidelberg (2011). Scholar
  65. 65.
    Weerakkody, V., Dwivedi, Y.K., Irani, Z.: The diffusion and use of institutional theory: a cross-disciplinary longitudinal literature survey. J. Inf. Technol. 24(4), 354–368 (2009)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Indian Institute of Management KozhikodeKozhikodeIndia

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