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Information Systems Frontiers
Published in: Information Systems Frontiers 2/2022

15-08-2020

The Role of ICT Laws and National Culture in Determining ICT Diffusion and Well-Being: A Cross-Country Examination

Authors: Anupriya Khan, Satish Krishnan, Jithesh Arayankalam

Published in: Information Systems Frontiers | Issue 2/2022

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Abstract

ICT-induced legal and regulatory challenges, including security and privacy risks, are on the rise. Despite that, there is a dearth of research emphasizing the role of ICT laws and understanding its effect on the level of ICT diffusion and the well-being of a country. Drawing on Dror’s law and social change framework, and grounding the discussion on the literature on ICT diffusion, the perspective of perceived risk, Hofstede’s typology of national culture, and the technological determinism theory, this study (1) explores the effect of maturity of ICT laws in a country on ICT diffusion among its citizens and businesses; (2) understands how this relationship is contingent on the national cultural dimensions; and (3) explicates the role of ICT diffusion in promoting the well-being. The research model is examined using publicly available data from 83 countries, and the findings suggest that sound ICT laws are necessary for achieving a greater diffusion of ICTs and improving well-being.
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Appendix
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Footnotes
1
These countries also vary in terms of their socio-economic status. We thank Reviewer #3 for this thought.
 
2
We thank the Coordinating Editor for the suggestion.
 
3
We thank Reviewer #2 for this thought.
 
Literature
Abukhzam, M., & Lee, A. (2010). Factors affecting Bank staff attitude towards E-banking adoption in Libya. The Electronic Journal of Information Systems in Developing Countries, 42(2), 1–15.CrossRef
Aiken, L., & West, S. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks: Sage Publications.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.CrossRef
Aristotle. (2000). Nicomachean ethics (Roger Crisp, Trans. Cambridge: Cambridge University Press.CrossRef
Arpaci, I., Kilicer, K., & Bardakci, S. (2015). Effects of security and privacy concerns on educational use of cloud services. Computers in Human Behavior, 45, 93–98.CrossRef
Attewell, P. (1992). Technology diffusion and organizational learning: The case of business computing. Organization Science, 3(1), 1–19.CrossRef
Bagchi, K., Hart, P., & Peterson, M. (2004). National culture and information technology product adoption. Journal of Global Information Technology Management, 7(4), 29–46.CrossRef
Bhattacherjee, A., & Shrivastava, U. (2018). The effects of ICT use and ICT Laws on corruption: A general deterrence theory perspective. Government Information Quarterly, 35(4), 703–712.CrossRef
Boyer-Wright, K., & Kottemann, J. (2008). High-level factors affecting global availability of online government services. In Proceedings of the 41st Hawaii international conference on system sciences (pp. 199–205). Waikoloa: IEEE.
Brown, D. H., & Thompson, S. (2011). Priorities, policies and practice of e-government in a developing country context: ICT infrastructure and diffusion in Jamaica. European Journal of Information Systems, 20(3), 329–342.CrossRef
Bygstad, B., & Aanby, H. P. (2010). ICT infrastructure for innovation: A case study of the enterprise service bus approach. Information Systems Frontiers, 12(3), 257–265.CrossRef
Cantril, H. (1965a). Pattern of human concerns. New Brunswick, NJ: Rutgers University Press.
Cantril, H. (1965b). Pattern of human concerns, (1st ed.). Rutgers University Press: New Brunswick, New Jersey.
Cassel, C., Hackl, P., & Westlund, A. H. (1999). Robustness of partial least-squares method for estimating latent variable quality structures. Journal of Applied Statistics, 26(4), 435–446.CrossRef
Chandler, D. (1996). Shaping and being shaped: The tone of technological determinism. Computer Mediated Communication Magazine, 1.
Charoensukmongkol, P., & Moqbel, M. (2012). Does investment in ICT curb or create more corruption? A cross-country analysis. Public Organization Review, 14(1), 51–63.CrossRef
Chen, Y., & Zahedi, F. M. (2016). Individuals’ internet security perceptions and behaviors: Polycontextual contrasts between the United States and China. MIS Quarterly, 40(1), 205–222.CrossRef
Chin, W. W. (1998). The partial least squares approach to structural equation modelling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). New Jersey: Lawrence Erlbaum Associates.
Cho, H., Rivera-Sánchez, M., & Lim, S. S. (2009). A multinational study on online privacy: Global concerns and local responses. New Media and Society, 11(3), 395–416.CrossRef
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. New York: Routledge.
Cooper, S., & Sahami, M. (2013). Reflections on Stanford’s MOOCs. Communications of the ACM, 56(2), 28–30.CrossRef
Dafoe, A. (2015). On technological determinism: A typology, scope conditions, and a mechanism. Science, Technology, & Human Values, 40(6), 1047–1076.CrossRef
Das, A., Singh, H., & Joseph, D. (2017). A longitudinal study of e-government maturity. Information and Management, 54, 415–426.CrossRef
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.CrossRef
Dedrick, J., Kraemer, K. L., & Shih, E. (2014). Information technology and productivity in developed and developing countries. Journal of Management Information Systems, 30(1), 97–122.CrossRef
Dewan, S., & Kraemer, K. L. (2000). Information technology and productivity: Evidence from country-level data. Management Science, 46(4), 548–562.CrossRef
Diener, E. (2006). Guidelines for national indicators of subjective well-being and ill-being. Applied Research in Quality of Life, 1(2), 151–157.CrossRef
Diener, E., & Biswas-Diener, R. (2002). Will money increase subjective well-being? Social Indicators Research, 57(2), 119–169.CrossRef
Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49(1), 71–75.CrossRef
Diener, E., Sapyta, J. J., & Suh, E. (1998). Subjective well-being is essential to well-being. Psychological Inquiry, 9(1), 33–37.CrossRef
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125(2), 276–302.CrossRef
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160.CrossRef
Dotan, A., & Zaphiris, P. (2010). A cross-cultural analysis of Flickr users from Peru, Israel, Iran, Taiwan and the United Kingdom. International Journal of Web Based Communities, 6(3), 284–302.CrossRef
Dror, Y. (1970). Law as a tool of directed social change: A framework for policy-making. The American Behavioral Scientist, 13(4), 553–559.CrossRef
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends”: Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168.CrossRef
Erumban, A. A., & Jong, S. B. (2006). Cross-country differences in ICT adoption: A consequence of culture? Journal of World Business, 41(4), 302–314.CrossRef
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.CrossRef
Feng, T. (2003). A critique of Hofstede’s fifth national culture dimension. International Journal of Cross Cultural Management, 3(3), 347–368.CrossRef
Ganju, K. K., Pavlou, P. A., & Banker, R. D. (2016). Does information and communication technology lead to the well-being of nations? A country-level empirical investigation. MIS Quarterly, 40(2), 417–430.CrossRef
GCR. (2015). The global competitiveness report. World Economic Forum.
Giovanis, A., Athanasopoulou, P., & Tsoukatos, E. (2015). The role of service fairness in the service quality–relationship quality–customer loyalty chain: An empirical study. Journal of Service Theory and Practice, 25, 744–776.CrossRef
GITR. (2015). The global information technology report. World Economic Forum.
GITR. (2016). The global information technology report. World Economic Forum.
Glatzer, W., & Gulyas, J. (2014). Cantril self-anchoring striving scale. In W. Glatzer & J. Gulyas (Eds.), Encyclopedia of quality of life and well-being research (pp. 509–511). Dordrecht: Springer.CrossRef
Gong, T. (2018). Customer brand engagement behavior in online brand communities. Journal of Services Marketing, 32, 286–299.CrossRef
Gong, W., Li, Z. G., & Stump, R. L. (2007). Global internet use and access: Cultural considerations. Asia Pacific Journal of Marketing and Logistics, 19(1), 57–74.CrossRef
Goodhue, D. L., William, L., & Thompson, R. (2012). Comparing PLS to Regression and LISREL: A response to Marcoulides, Chin, and Saunders. MIS Quarterly, 36(3), 703–716.
Gorla, N., Chiravuri, A., & Chinta, R. (2017). Business-to-business e-commerce adoption: An empirical investigation of business factors. Information Systems Frontiers, 19(3), 645–667.CrossRef
Gruber, H. (2001). Competition and innovation: The diffusion of mobile telecommunications in central and Eastern Europe. Information Economics and Policy, 13(1), 19–34.CrossRef
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis with readings. NJ: Prentice Hall.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.CrossRef
Hasan, H., & Ditsa, G. (1999). The impact of culture on the adoption of IT: An interpretive study. Journal of Global Information Management, 7(1), 5–15.CrossRef
Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). New York: Guilford Press.
Hofstede, G. (1980). Cultural consequences: International differences in work-related values. Beverly Hills, CA: Sage Publications.
Hofstede, G. (1984). Cultural dimensions in management and planning. Asia Pacific Journal of Management, 1(2), 81–99.CrossRef
Hofstede, G. (1991). Cultures and organizations: Software of the mind. New York: McGraw-Hill.
Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks: Sage Publications.
Hofstede, G., Hofstede, G., & Minkov, M. (2010). Cultures and organizations: Software of the mind. New York: McGraw-Hill.
Im, I., Kim, Y., & Han, H.-J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information and Management, 45(1), 1–9.CrossRef
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information and Management, 48(1), 1–8.CrossRef
Kaufmann, D., Kray, A., & Zoido-Lobotan, P. (1999). Governance matters (policy research working paper 2196). Washington, DC: The World Bank Development Research Group.
Keller, W. (2004). International technology diffusion. Journal of Economic Literature, 42(3), 752–782.CrossRef
Khalil, O. (2011). E-government readiness: Does national culture matter? Government Information Quarterly, 28(3), 388–399.CrossRef
Khalil, O., & Seleim, A. (2010). National culture practices and societal information dissemination capacity. Journal of Information and Knowledge Management, 9(2), 1–18.CrossRef
Khan, A., & Krishnan, S. (2018). Social media enabled e-participation: Review and agenda for future research. e-Service. Journal, 10(2), 45–75.
Khan, A., & Krishnan, S. (2019). Conceptualizing the impact of corruption in national institutions and national stakeholder service systems on e-government maturity. International Journal of Information Management, 46, 23–36.CrossRef
Kiecolt, K. J., & Nathan, L. E. (1985). Secondary analysis of survey data. Beverly Hills: Sage.CrossRef
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564.CrossRef
Klein, R., & Rai, A. (2009). Interfirm strategic information flows in logistics supply chain relationships. MIS Quarterly, 33(4), 735–762.CrossRef
Kohli, A., & Jaworski, B. (1990). Market orientation: The construct, research propositions, and managerial implications. Journal of Marketing, 54(2), 1–18.CrossRef
Kollmann, T., Kuckertz, A., & Breugst, N. (2009). Organizational readiness and the adoption of electronic business: The moderating role of national culture in 29 European countries. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 40(4), 117–131.CrossRef
Krishnan, S., & AlSudiary, M. A. T. (2016). Cultural practices and virtual social networks diffusion: An international analysis using GLOBE scores. Journal of Global Information Technology Management, 19(3), 154–173.CrossRef
Krishnan, S., & Lymm, J. (2016). Determinants of virtual social networks diffusion: Insights from cross-country data. Computers in Human Behavior, 54, 691–700.CrossRef
Krishnan, S., & Teo, T. S. H. (2012). Moderating effects of governance on information infrastructure and e-government development. Journal of the Association for Information Science and Technology, 63(10), 1929–1946.
Krishnan, S., Teo, T. S. H., & Lim, V. K. G. (2013). Examining the relationships among e-government maturity, corruption, economic prosperity and environmental degradation: A cross-country analysis. Information and Management, 50, 638–649.CrossRef
Krishnan, S., Teo, T. S. H., & Lymm, J. (2017). Determinants of electronic participation and electronic government maturity: Insights from cross-country data. International Journal of Information Management, 37(4), 297–312.CrossRef
Larosiliere, G. D., Carter, L. D., & Meske, C. (2017). How does the world connect? Exploring the global diffusion of social network sites. Journal of the Association for Information Science and Technology, 68(8), 1875–1885.CrossRef
Lee, J., & Fedorowicz, J. (2018). Identifying issues for the bright ICT initiative: A worldwide Delphi study of IS journal editors and scholars. Communications of the Association for Information Systems, 42, 301–333.CrossRef
Lee, D.-J., Ahn, J.-H., & Bang, Y. (2011). Managing consumer privacy concerns in personalization: A strategic analysis of privacy protection. MIS Quarterly, 35(2), 423–444.CrossRef
Lee, S., Nam, Y., Lee, S., & Son, H. (2016). Determinants of ICT innovations: A cross-country empirical study. Technological Forecasting and Social Change, 110, 71–77.CrossRef
Leidner, D., & Kayworth, T. (2006). A review of culture in information systems research: Towards a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399.CrossRef
Leung, K., Bhagat, R. S., Buchan, N. R., Erez, M., & Gibson, C. B. (2005). Culture and international business: Recent advances and their implications for future research. Journal of International Business Studies, 36(4), 357–378.CrossRef
Li, Y. (2014). The impact of disposition to privacy: Website reputation and website familiarity on information privacy concerns. Decision Support Systems, 57(2), 343–354.CrossRef
Liang, H., & Xue, Y. (2009). Avoidance of information technology threats: A theoretical perspective. MIS Quarterly, 33(1), 71–90.CrossRef
Liu, M. (2008). Determinants of e-commerce development: An empirical study by firms in Shaanxi, China. In In 4th international conference on wireless communications, networking and Mobile computing, Dalian, China, October, Vols 1–31 (pp. 9177–9180).
Maitland, C., & Bauer, J. (2001). National level culture and global diffusion: The case of the internet. In C. Ess (Ed.), Culture, technology, communication: Towards an intercultural Global Village (pp. 87–128). Albany, NY: State University of New York Press.
Martin, N., Matt, C., Niebel, C., & Blind, K. (2019). How data protection regulation affects startup innovation. Information Systems Frontiers, 21(6), 1307–1324.CrossRef
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13.CrossRef
Myers, M., & Tan, F. (2002). Beyond models of national culture in information systems research. Journal of Global Information Management, 10(1), 24–32.CrossRef
Nepal, S., & Zic, J. (2008). A conflict neighbouring negotiation algorithm for resource services in dynamic collaborations. In In 2008 IEEE International Conference on Services Computing, IEEE, Vol. 2 (pp. 283–290).CrossRef
O’ Connor, Y., & O’Reilly, P. (2018). Examining the infusion of mobile technology by healthcare practitioners in a hospital setting. Information Systems Frontiers, 20, 1297–1317.CrossRef
Oliveira, T. F., & Dhillon, G. (2015). From adoption to routinization of B2B e-commerce: Understanding patterns across Europe. Journal of Global Information Management, 23(1), 24–43.
Ozturk, A. B., Nusair, K., Okumus, F., & Singh, D. (2017). Understanding mobile hotel booking loyalty: An integration of privacy calculus theory and trust-risk framework. Information Systems Frontiers, 19(4), 753–767.CrossRef
Pavot, W., Diener, E., Colvin, C. R., & Sandvik, E. (1991). Further validation of the satisfaction with life scale: Evidence for the cross-method convergence of well-being measures. Journal of Personality Assessment, 57(1), 149–161.CrossRef
Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467–480.CrossRef
Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656.CrossRef
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.CrossRef
Qu, W., & Pinsonneault, A. (2011). Country environments and the adoption of IT outsourcing. Journal of Global Information Management, 19(1), 30–50.CrossRef
Qu, W. G., Yang, Z., & Wang, Z. (2011). Multi-level framework of open source software adoption. Journal of Business Research, 64(9), 997–1003.CrossRef
Robertson, C. J., & Watson, A. (2004). Corruption and change: The impact of foreign direct investment. Strategic Management Journal, 25(4), 385–396.CrossRef
Rogers, E. (1983). Diffusion of innovations (3rd ed.). New York: Free Press.
Rogers, E. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
Schaupp, L. C., & Carter, L. (2010). The impact of trust, risk and optimism bias on E-file adoption. Information Systems Frontiers, 12(3), 299–309.CrossRef
Shareef, M. A., Kumar, V., Dwivedi, Y. K., & Kumar, U. (2016). Service delivery through mobile-government (mGov): Driving factors and cultural impacts. Information Systems Frontiers, 18, 315–332.CrossRef
Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7(4), 422–445.CrossRef
Simon, G. E., Ludman, E. J., Tutty, S., Operskalski, B., & Von Korff, M. (2004). Telephone psychotherapy and telephone care management for primary care patients starting antidepressant treatment: A randomized controlled trial. Journal of the American Medical Association, 292(8), 935–942.CrossRef
Siponen, M., Mahmood, M. A., & Pahnila, S. (2014). Employees’ adherence to information security policies: An exploratory field study. Information and Management, 51(2), 217–224.CrossRef
Smith, P. B., Peterson, M. F., & Thomason, S. J. (2011). National culture as a moderator of the relationship between managers’ use of guidance sources and how well work events are handled. Journal of Cross-Cultural Psychology, 42(6), 1101–1121.CrossRef
Sørnes, J.-O., Stephens, K. K., Sætre, A. S., & Browning, L. D. (2004). The reflexivity between ICTs and business culture: Applying Hofstede’s theory to compare Norway and the United States. Informing Science Journal, 7, 1–30.CrossRef
Srite, M., & Karahanna, E. (2006). The role of espoused national cultural values in technology acceptance. MIS Quarterly, 30(3), 679–704.CrossRef
Srivastava, S., & Teo, T. S. H. (2010). E-government, e-business, and national economic performance. Communications of the Association for Information Systems, 26, 267–286.CrossRef
Straub, D. W. (1994). The effect of culture on IT diffusion: E-mail and FAX in Japan and the U.S. Information Systems Research, 5(1), 23–47.CrossRef
Sun, J., & Wang, Y. (2012). Global diffusion of virtual social networks: A pyramid model. In S. Hunsinger (Ed.), Proceedings of the conference on information systems applied research (pp. 1–7). Louisiana, USA: New Orleans.
Thelwall, M. (2008). Social networks, gender and friending: An analysis of MySpace member profiles. Journal of the American Society for Information Science and Technology, 59(8), 1321–1330.CrossRef
Thelwall, M., Wilkinson, D., & Uppal, S. (2010). Data mining emotion in social network communication: Gender differences in MySpace. Journal of the American Society for Information Science and Technology, 61(1), 190–199.CrossRef
Tornatzky, L., & Fleischer, M. (1990). The process of technology innovation. Lexington, MA: Lexington Books.
Turban, E., Whiteside, J., King, D., & Outland, J. (2017). Introduction to electronic commerce and social commerce (4th ed.). Switzerland: Springer.CrossRef
UNCTAD. (2015). Cyberlaws and regulations for enhancing e-commerce: Case studies and lessons learned. United Nations conference on trade and development. Geneva: United Nations.
UN-Report. (2007). Information and communication technology policy and legal issues for Central Asia. New York and Geneva: United Nations.
Veiga, J. F., Floyd, S., & Dechant, K. (2001). Towards modelling the effects of national culture on IT implementation. Journal of Information Technology, 16(3), 145–158.CrossRef
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of global information technology management, 13(1), 5–27.CrossRef
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.CrossRef
Vicente, M. R., & López, A. J. (2006). Patterns of ICT diffusion across the European Union. Economics Letters, 93(1), 45–51.CrossRef
Waarts, E., & van Everdingen, Y. (2005). The influence of national culture on the adoption status of innovations: An empirical study of firms across Europe. European Management Journal, 23(6), 601–610.CrossRef
WHR. (2015). World happiness report 2015. New York: Sustainable Development Solutions Network.
WHR. (2017). World happiness report 2017. New York: Sustainable Development Solutions Network.
WHR. (2018). World happiness report 2018. New York: Sustainable Development Solutions Network.
Wolf, M., Beck, R., & König, K. (2012). Environmental dynamics as driver of on-demand computing infrastructures—Empirical insights from the financial services industry in UK. In In proceedings of the European conference on information systems (ECIS), article 242. Barcelona: Spain.
Wooldridge, J.M. (2016). Introductory econometrics: A modern approach. Nelson Education.
Woszczynskia, A., & Whitman, M. (2004). The problem of common method variance in IS research. In A. Woszczynskia & M. Whitman (Eds.), The handbook of information systems research (pp. 66–77). Hershey: Idea Group Publishing.CrossRef
Xiao, X., Califf, C. B., Sarker, S., & Sarker, S. (2013). ICT innovation in emerging economies: A review of the existing literature and a framework for future research. Journal of Information Technology, 28, 264–278.CrossRef
Xu, W., Ou, P., & Fan, W. (2017). Antecedents of ERP assimilation and its impact on ERP value: A TOE-based model and empirical test. Information Systems Frontiers, 19, 13–30.CrossRef
Zhao, F. (2011). Impact of national culture on e-government development: A global study. Internet Research, 21(3), 362–380.CrossRef
Zhu, H., Ou, C. X. J., van den Heuvel, W. J. A. M., & Liu, H. (2017). Privacy calculus and its utility for personalization services in e-commerce: An analysis of consumer decision-making. Information and Management, 54, 427–437.CrossRef
Zmud, R. W. (1982). Diffusion of modern software practices: Influence of centralization and formalization. Management Science, 28(12), 1421–1431.CrossRef
Metadata
Title
The Role of ICT Laws and National Culture in Determining ICT Diffusion and Well-Being: A Cross-Country Examination
Authors
Anupriya Khan
Satish Krishnan
Jithesh Arayankalam
Publication date
15-08-2020
Publisher
Springer US
Published in
Information Systems Frontiers / Issue 2/2022
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-020-10039-y

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