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An approach to evaluate large-scale ICT training interventions

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Abstract

Despite advances in the quality and availability of information and communication technologies (ICT), the level of access and skill in using these resources remains unequal. This is particularly evident in developing countries. To reduce the gap between these levels of ICT use, organizations (both public and private) invest in the expansion of infrastructure by providing ICT access and ICT training. In this study, we demonstrate that there is a gap in current approaches to monitor and evaluate large-scale ICT training interventions. Thus, we propose an approach based on social network analysis and data mining techniques, and apply it to an online training program conducted in different regions of Brazil. The results allow us to examine different aspects of the program, such as the region of participants, the institutions driving the intervention, local indicators of telecommunications infrastructure, and local socioeconomic conditions.

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References

  • Adam, L., & Wood, F. (1999). An investigation of the impact of information and communication technologies in sub-Saharan Africa. Journal of Information Science, 25(4), 307–318. doi:10.1177/016555159902500407.

    Article  Google Scholar 

  • Andrade, A. D., & Urquhart, C. (2012). Unveiling the modernity bias: a critical examination of the politics of ICT4D. Information Technology for Development, 18(4), 281–292. doi:10.1080/02681102.2011.643204.

    Article  Google Scholar 

  • Ashraf, M., Swatman, P., & Hanisch, J. (2008a). An extended framework to investigate ict impact on development at the micro (community) level. Paper presented at the ECIS. http://aisel.aisnet.org/ecis2008/233

  • Ashraf, M. M., Swatman, P., & Hanisch, D. J. (2008b). Some perspectives on understanding the adoption and implementation of ICT interventions in developing countries. Journal of Community Informatics, 3(4). http://www.ci-journal.net/index.php/ciej/article/viewArticle/297.

  • Ashraf, M., Hanisch, J., & Swatman, P. (2009). ICT intervention in the ‘Chandanbari’ Village of Bangladesh: Results from a field study. Information Systems Frontiers, 11, 155–166. doi:10.1007/s10796–008–9133-0.

  • Avgerou, C. (2008). Information systems in developing countries: a critical research review. Journal of Information Technology, 23(3), 133–146. doi:10.1057/palgrave.jit.2000136.

    Article  Google Scholar 

  • Basu, S. (2004). E-government and developing countries: an overview. International Review of Law, Computers & Technology, 18(1), 109–132. doi:10.1080/13600860410001674779.

    Article  Google Scholar 

  • Batagelj, V. (2012). Social network analysis, large-scale. In R. A. Meyers (Ed.), Computational complexity: theory, techniques, and applications (pp. 2878–2897). New York: Springer.

    Chapter  Google Scholar 

  • Berend, A. (2013). Technology appropriation revisited: mediation theory as a new philosophy of technology for information systems research. (Thesis) University of Twente.

  • Berger, A., & Croll, J. (2012). Training in basic Internet skills for special target groups in non-formal educational settings - conclusions from three pilot projects. Research in Learning Technology, 20(4). doi:10.3402/rlt.v20i0.18700.

  • Braa, J., Monteiro, E., & Sahay, S. (2004). Networks of action: sustainable health information systems across developing countries. MIS Quarterly, 28(3), 337–362.

    Article  Google Scholar 

  • BRAC (2003). BRAC Project proposal-2: 2004–2009. Dhaka: Bangladesh rural advancement committee.

  • Brazil. (2009). Decree n. 6991, national program to support digital inclusion in the communities - telecentros.BR. DOU n. 206, Sec.1, pp 3: Brazilian National Press Retrieved from http://www.in.gov.br/imprensa/visualiza/index.jsp?jornal=1&pagina=3&data=28/10/2009.

  • Brito, S. R., Silva, A. S., Martins, D. L., Vijaykumar, N. L., Rocha, C. A. J., Costa, J. C. W. A., & Francês, C. R. L. (2013). Employing online social networks to monitor and evaluate training of digital inclusion agents. Social Network Analysis and Mining, 3(3), 497–519.

    Article  Google Scholar 

  • Calvani, A., Fini, A., Ranieri, M., & Picci, P. (2012). Are young generations in secondary school digitally competent? A study on Italian teenagers. Computers & Education, 58(2), 797–807. doi:10.1016/j.compedu.2011.10.004.

    Article  Google Scholar 

  • Chang, S.-I., Yen, D. C., Chang, I.-C., & Chou, J.-C. (2012). Study of the digital divide evaluation model for government agencies–a Taiwanese local government’s perspective. Information Systems Frontiers, 14(3), 693–709. doi:10.1007/s10796–011-9297-x.

    Article  Google Scholar 

  • Chen, Z. (2001). Data mining and uncertain reasoning: an integrated approach. USA: John Wiley & Sons.

  • Cruz-Jesus, F., Oliveira, T., Bacao, F., & Irani, Z. (2016). Assessing the pattern between economic and digital development of countries. Information Systems Frontiers. doi:10.1007/s10796–016–9634-1.

    Google Scholar 

  • Cuervo, M. R. V., & Menéndez, A. J. L. (2006). A multivariate framework for the analysis of the digital divide: Evidence for the European Union-15. Information & Management, 43(6), 756–766.

    Article  Google Scholar 

  • Dutta, S. (2007). Estonia: a sustainable success in networked readiness. In S. Dutta & I. Mia (Eds.), The global information technology report 2006–2007: connecting to the networked economy (pp. 81–90). New York, NY: Palgrave Macmillan.

    Google Scholar 

  • Faust, K., & Wasserman, S. (1992). Centrality and prestige: A review and synthesis. Journal of Quantitative Anthropology, 4(1), 23–78.

    Google Scholar 

  • Furuholt, B., & Matotay, E. (2013). Supply and demand of e-government services in developing countries: cases from Tanzania. In R. Pooley, J. Coady, C. Schneider, H. Linger, C. Barry, & M. Lang (Eds.), Information Systems Development (pp. 63–76). New York: Springer New York.

    Chapter  Google Scholar 

  • Hage, E., Roo, J. P., van Offenbeek, M. A., & Boonstra, A. (2013). Implementation factors and their effect on e-Health service adoption in rural communities: a systematic literature review. BMC Health Services Research, 13(1). doi:10.1186/1472–6963–13-19.

  • Heeks, R. (2010). Do information and communication technologies (ICTs) contribute to development? Journal of International Development, 22(5), 625–640. doi:10.1002/jid.1716.

    Article  Google Scholar 

  • Heeks, R., & Kenny, C. (2002). The economics of ICTs and global inequality: Convergence or divergence for developing countries? In D. I. Group (Ed.), Development informatics working paper series, (Vol. 10). Manchester, UK: Institute for development policy and management.

  • Huerta, E., & Sandoval-Almazán, R. (2007). Digital literacy: Problems faced by telecenter users in Mexico. Information Technology for Development, 13(3), 217–232. doi:10.1002/itdj.v13:3.

    Article  Google Scholar 

  • Hunt, P. (2001). True stories: telecentres in Latin America and the Caribbean. Electronic Journal of Information Systems in Developing Countries, 4(5), 1–17.

    Article  Google Scholar 

  • IBGE (2010). Demographic census from Brazilian institute of geography and statistics. http://www.ibge.gov.br/home/estatistica/populacao/censo2010/resultados_gerais_amostra/resultados_gerais_amostra_tab_uf_microdados.shtm. Accessed at 03/05/2014.

  • Imtiaz, A., Forcolin, M., Reid, A., & Laing, P. (2011). Challenges in transferring European business and technology models to the developing southern African regions. Paper presented at the IST-Africa Conference Proceedings, Gaborone, Botswana.

  • International Telecommunication Union (ITU) (2007). http://www.itu.int/osg/spu/publications/worldinformationsociety/2007/WISR07-chapter2.pdf. Accessed 18 Nov 2015.

  • International Telecommunication Union (ITU) (2014). World telecommunication (ITU)/ICT indicators database. http://www.itu.int/en/ITU-D/Statistics/Pages/definitions/regions.aspx. Accessed 18 Nov 2015.

  • Katz, I. R. (2007). Testing information literacy in digital environments: ETS’s iSkills assessment. Information Technology and Libraries, 26(3), 3–12.

    Article  Google Scholar 

  • Khan, G. F., Moon, J., Park, H. W., Swar, B., & Rho, J. J. (2010). A socio-technical perspective on e-government issues in developing countries: a scientometrics approach. Scientometrics, 87(2), 267–286. doi:10.1007/s11192–010–0322-5

  • Korb, K. B., & Nicholson, A. E. (2004). Bayesian artificial intelligence (2nd ed. Vol. 1). London, UK: Chapman & Hall/CRC Press.

  • Kraemer, K. L., Ganley, D., & Dewan, S. (2005). Across the digital divide: A cross-country multi-technology analysis of the determinants of IT penetration. Journal of the Association for Information Systems, 6(12), 409–432.

    Article  Google Scholar 

  • Lin, H.-J., Wen, M.-M., & Lin, W. T. (2012). The relationships between information technology, E-commerce, and E-finance in the financial institutions: evidence from the insurance industry. In J.-S. Pan, S.-M. Chen, & N. Nguyen (Eds.), Intelligent Information and Database Systems (Vol. 7197, pp. 194–206). Berlin Heidelberg: Springer.

    Chapter  Google Scholar 

  • Lopes, Á. (2012). 11th Digital Inclusion Workshop: Letter to President Dilma Rousseff. Retrieved June 23, 2014, from http://www.arede.inf.br/noticias/237-acontece/acontece-2012/5203-11-oid-comemora-conquistas-da-sociedade-civi-e-faz-reivindicacoes-a-presidente-dilma-rousseffdilma

  • Lucas, H. (2008). Information and communications technology for future health systems in developing countries. Social Science & Medicine, 66(10), 2122–2132. doi:10.1016/j.socscimed.2008.01.033.

    Article  Google Scholar 

  • Luna-Reyes, L. F., Gil-Garcia, J. R., & Romero, G. (2012). Towards a multidimensional model for evaluating electronic government: Proposing a more comprehensive and integrative perspective. Government Information Quarterly, 29(3), 324–334. doi:10.1177/0193841X0002400404.

    Article  Google Scholar 

  • Ma, J., & Huang, Q. (2015). Does better Internet access lead to more adoption? A new empirical study using household relocation. Information Systems Frontiers, 17(5), 1097–1110. doi:10.1007/s10796–014–9485-6.

    Article  Google Scholar 

  • Madon, S., Reinhard, N., Roode, D., & Walsham, D. (2009). Digital inclusion projects in developing countries: processes of institutionalization. Information Technology for Development, 15(2), 95–107.

    Article  Google Scholar 

  • MiniCom. (2014). Communications sector: municipal microdata. Brazilian Communication Ministry, http://www.mc.gov.br/DSCOM/view/Principal.php

  • Mori, C. K. (2011). Políticas públicas para inclusão digital no Brasil: aspectos institucionais e efetividade em iniciativas federais de disseminação de telecentros no período 2000–2010. (PhD thesis) University of Brasília, Brasília, Brazil.

  • Mutula, S. M., & van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool. International Journal of Information Management, 26(3), 212–223. doi:10.1016/j.ijinfomgt.2006.02.004.

    Article  Google Scholar 

  • Nooy, W., Mrvar, A., & Batagelj, V. (2005). Exploratory social network analysis with Pajek (2nd ed.). New York: Cambridge University Press.

  • OECD (2011). Understanding the digital divide. Report. Paris, France: Organization for economic co-operation and development.

  • Olla, P., & Choudrie, J. (2014). Mobile technology utilization for social development in developing countries: An ethnographic futures research study. Information Systems Frontiers, 16(3), 369–382. doi:10.1007/s10796–013-9477-y.

    Article  Google Scholar 

  • Pearl, J. (1988). Bayesian Inference. In M. Kaufmann (Ed.), Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (p. 552). San Francisco, USA: Morgan Kaufmann Publishers, Inc..

    Google Scholar 

  • Pick, J. B., Sarkar, A., & Johnson, J. (2015). United States digital divide: State level analysis of spatial clustering and multivariate determinants of ICT utilization. Socio-Economic Planning Sciences, 49, 16–32.

    Article  Google Scholar 

  • Pscheidt, M. (2012). Appropriate information system development: A methodology for sustainable cross-cultural information system production and use. (PhD thesis) Radboud Universiteit Nijmegen, Netherlands.

  • Quibria, M. G., Ahmed, S. N., Tschang, T., & Reyes-Macasaquit, M.-L. (2003). Digital divide: determinants and policies with special reference to Asia. Journal of Asian Economics, 13(6), 811–825.

    Article  Google Scholar 

  • Rowley, T. J. (1997). Moving beyond dyadic ties: a network theory of stakeholder influences. The Academy of Management Review, 22(4). doi:10.5465/AMR.1997.9711022107.

  • Salinas, A., & Sánchez, J. (2009). Digital inclusion in Chile: Internet in rural schools. International Journal of Educational Development, 29, 573–582.

    Article  Google Scholar 

  • Salvador, T., Sherry, J. W., & Urrutia, A. E. (2005). Less cyber, more cafe: Enhancing existing small businesses across the digital divide with ICTs. Information Technology for Development, 11(1), 77–95.

    Article  Google Scholar 

  • Scott, R. W., & Meyer, J. W. (1994). Institutional environments and organizations: structural complexity and individualism. USA: SAGE Publications USA.

  • Silva, A. S., Brito, S. R., Martins, D. L., Vijaykumar, N. L., Rocha, C. A. J., Costa, J. C. W. A., & Francês, C. R. L. (2014). Social networks analysis and participation in learning environments to digital inclusion based on large-scale distance education. International Journal of Distance Education Technologies (IJDET), 12(2), 1–25.

    Article  Google Scholar 

  • Silva, A. S., Brito, S. R., Vijaykumar, N. L., Rocha, C. A. J., Monteiro, M. A., Costa, J. C. W. A., & Francês, C. R. L. (2016). Social network analysis and mining to monitor and identify problems with large-scale information and communication technology interventions. PLoS ONE, 11(1). doi:10.1371/journal.pone.0146220.

  • Srinivasan, R. (2013). Re-thinking the cultural codes of new media: The question concerning ontology. New Media & Society, 15(2), 203–223. doi:10.1177/1461444812450686.

    Article  Google Scholar 

  • Teles, A., & Joia, L. A. (2011). Assessment of digital inclusion via the actor-network theory: The case of the Brazilian municipality of Piraí. Telematics and Informatics, 28(3), 191–203. doi:10.1016/j.tele.2010.09.003.

    Article  Google Scholar 

  • UNDP (2001). Human development report 2001: Making new technologies work for human development (pp. 264). New York: United Nations Development Programme (UNDP).

  • United Nations (2012). The promotion, protection and enjoyment of human rights on the Internet, Document A/HRC/20/L.13. New York, NY: United Nations General Assembly.

  • Van Dijk, M. P. (2003). Government policies with respect to an information technology cluster in Bangalore, India. European Journal of Development Research, 15(2), 93–108.

    Article  Google Scholar 

  • Venkatesh, V., & Sykes, T. A. (2013). Digital Divide Initiative Success in Developing Countries: A Longitudinal Field Study in a Village in India. Information Systems Research, 24(2), 239–260. doi:10.1287/isre.1110.0409.

    Article  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). social network analysis: Methods and application (M. Granovetter, Ed.). USA: Cambridge University Press.

  • Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442. doi:10.1038/30918.

    Article  Google Scholar 

  • White, G. R. T., Afolayan, A., & Plant, E. (2014). Challenges to the adoption of E-commerce technology for supply chain management in a developing economy: A focus on Nigerian SMEs. In E. Lacka, H. K. Chan, & N. Yip (Eds.), E-commerce Platform Acceptance (pp. 23–39). Switzerland: Springer International Publishing.

    Google Scholar 

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Our sincere thanks to the anonymous reviewers for their careful revision and motivating comments on the early version of the manuscript.

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Correspondence to Aleksandra do Socorro da Silva.

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de Brito, S.R., do Socorro da Silva, A., da Mata, E.C. et al. An approach to evaluate large-scale ICT training interventions. Inf Syst Front 20, 883–899 (2018). https://doi.org/10.1007/s10796-016-9705-3

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