The mediating role of ICT regulation on the effects of ICT access and ICT use on e-participation: Evidence from structural equation modelling and necessary condition analysis

References

• Adam, I. O. 2020a. “Examining E-Government Development Effects on Corruption in Africa: The Mediating Effects of ICT Development and Institutional Quality.” Technology in Society 61: 101245.
   Web of Science ®Google Scholar
• Adam, I. O. 2020b. “ICT Development, E-Government Development and Economic Development. Does Institutional Quality Matter?” Information Technologies and International Development 16: 19.
   Web of Science ®Google Scholar
• Adam, I. O., and M. D. Alhassan. 2020a. “The Effects Of Ict Development On Firm-Level Technology Absorp-Tion: The Role Of It Usage.” Paper presented at the United Kingdom Association for Information Insystems.
   Google Scholar
• Adam, I. O., and M. D. Alhassan. 2020b. “The Effects of ICT Development on Firm-Level Technology Absorption: The Role of IT Usage.” Paper presented at the UK Academy for Information Systems.
   Google Scholar
• Adam, I. O., M. D. Alhassan, and Y. Afriyie. 2020. “What Drives Global B2C E-Commerce? An Analysis of the Effect of ICT Access, Human Resource Development and Regulatory Environment.” Technology Analysis and Strategic Management 32 (7): 1–16.
   Web of Science ®Google Scholar
• Afshar, M., Alam, K., Taylor, B., & Rafiq, S. (2020). Does digital inclusion affect quality of life ? Evidence from Australian household panel data. Telematics and Informatics, 51. https://doi.org/10.1016/j.tele.2020.101405
   Google Scholar
• Alhassan, M. D., I. O. Adam, and C. Nangpiire. 2020. “Drivers of Global Social Network Adoption: A Technology-Organisation-Environment Perspective.” International Journal of E-Services and Mobile Applications (IJESMA) 12 (4): 1–23.
   Google Scholar
• Alam, K., & Imran, S. (2015). The digital divide and social inclusion among refugee migrants: A case in regional Australia. Information Technology and People, 28(2), 344–365. https://doi.org/10.1108/ITP-04-2014-0083
   Web of Science ®Google Scholar
• Allen, B., L. E. Tamindael, S. H. Bickerton, and W. Cho. 2020. “Does Citizen Coproduction Lead to Better Urban Services in Smart Cities Projects? An Empirical Study on e-Participation in a Mobile big Data Platform.” Government Information Quarterly 37 (1): 101412. https://doi.org/10.1016/j.giq.2019.101412.
   Web of Science ®Google Scholar
• Anduiza, E., A. Gallego, and M. Cantijoch. 2010. “Online Political Participation in Spain: The Impact of Traditional and Internet Resources.” Journal of Information Technology and Politics 7 (4): 356–368.
   Google Scholar
• Arayankalam, J., A. Khan, and S. Krishnan. 2020. “How to Deal with Corruption? Examining the Roles of e-Government Maturity, Government Administrative Effectiveness, and Virtual Social Networks Diffusion.” International Journal of Information Management 102203.
   Web of Science ®Google Scholar
• Arayankalam, J., and S. Krishnan. 2020. “B2C E-Business Use in a Country: The Roles of E-Government Maturity, Corruption, and Virtual Social Networks Diffusion.” Pacific Asia Conference on Information Systems
   Google Scholar
• Arayankalam, J., and S. Krishnan. 2020. “B2C E-Business Use in a Country: The Roles of E-Government Maturity, Corruption, and Virtual Social Networks Diffusion.” Paper presented at the PACIS.
   Google Scholar
• Åström, J., M. Karlsson, J. Linde, and A. Pirannejad. 2012. “Understanding the Rise of e-Participation in non-Democracies: Domestic and International Factors.” Government Information Quarterly 29 (2): 142–150. https://doi.org/10.1016/j.giq.2011.09.008.
   Web of Science ®Google Scholar
• Baker, J. 2012. “The Technology–Organization–Environment Framework.” In Ramesh Sharda and Stefan Voß, eds. Information Systems Theory, 231–245. London: Springer.
   Google Scholar
• Ballon, P., & Heesvelde, E. Van. (2011). ICT platforms and regulatory concerns in Europe. Telecommunications Policy, 35(8), 702–714. https://doi.org/10.1016/j.telpol.2011.06.009
   Web of Science ®Google Scholar
• Barnes, D., & Hinton, C. M. (2012). Reconceptualising e-business performance measurement using an innovation adoption framework. International Journal of Productivity and Performance Management, 61(5), 502–517. https://doi.org/10.1108/17410401211232948
   Google Scholar
• Berntzen, L., and E. Karamagioli. 2010. “Regulatory Measures to Support e-Democracy.” In Fourth International Conference on Digital Society, 311–316. St. Maarten, 2010.
   Google Scholar
• Bertot, J. C. 2016. “Building Digitally Inclusive Communities: The Roles of Public Libraries in Digital Inclusion and Development.” In Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance.
   Google Scholar
• Billon, M., R. Marco, and F. Lera-Lopez. 2009. “Disparities in ICT Adoption: A Multidimensional Approach to Study the Cross-Country Digital Divide.” Telecommunications Policy 33 (10–11): 596–610.
   Web of Science ®Google Scholar
• Cahill, A. G., and J. M. Stevens. 1990. “The Utilization of Information Systems Technology and its Impact on Organizational Decision Making: The Case of State Budgeting Offices.” Knowledge 12 (1): 53–79.
   Google Scholar
• Choi, J., and C. Song. 2020. “Factors Explaining why Some Citizens Engage in E-Participation, While Others Do Not.” Government Information Quarterly 37 (4): 101524. https://doi.org/10.1016/j.giq.2020.101524.
   Web of Science ®Google Scholar
• Diamantopoulos, A., M. Sarstedt, C. Fuchs, P. Wilczynski, and S. Kaiser. 2012. “Guidelines for Choosing Between Multi-Item and Single-Item Scales for Construct Measurement: A Predictive Validity Perspective.” Journal of the Academy of Marketing Science 40 (3): 434–449. https://doi.org/10.1007/s11747-011-0300-3.
   Web of Science ®Google Scholar
• Dul, J. (2020), Conducting Necessary Condition Analysis, Sage Publications, London
   Google Scholar
• Dutta, S., and B. Lanvin. 2019. The Network Readiness Index 2019: Towards a Future-Ready Society.
   Google Scholar
• Epstein, D., M. Newhart, and R. Vernon. 2014. “Not by Technology Alone: The “Analog” Aspects of Online Public Engagement in Policymaking.” Government Information Quarterly 31 (2): 337–344.
   Web of Science ®Google Scholar
• Fornell, C., and D. F. Larcker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research 18 (1): 39–50.
   Web of Science ®Google Scholar
• Freschi, A. C., R. Medaglia, and J. Nørbjerg. 2009. “A Tale of Six Countries: EParticipation Research from an Administration and Political Perspective.” Paper presented at the International Conference on Electronic Participation.
   Google Scholar
• Hair, J. F., C. M. Ringle, and M. Sarstedt. 2011. “PLS-SEM: Indeed a Silver Bullet.” Journal of Marketing Theory and Practice 19 (2): 139–152. https://doi.org/10.2753/MTP1069-6679190202.
   Google Scholar
• Hair, J. F., J. J. Risher, M. Sarstedt, and C. M. Ringle. 2019. “When to Use and How to Report the Results of PLS-SEM.” European Business Review 31 (December). https://doi.org/10.1108/EBR-11-2018-0203.
   Google Scholar
• Hauff, S., M. Guerci, J. Dul, and H. van Rhee. 2019. “Exploring Necessary Conditions in HRM Research: Fundamental Issues and Methodological Implications.” Human Resource Management Journal.
   Web of Science ®Google Scholar
• Henseler, J., C. M. Ringle, and M. Sarstedt. 2015. “A new Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43 (1): 115–135. https://doi.org/10.1007/s11747-014-0403-8.
   Web of Science ®Google Scholar
• Jho, W., and K. Jae. 2015. “Institutional and Technological Determinants of Civil e-Participation: Solo or Duet?” Government Information Quarterly 32 (4): 488–495. https://doi.org/10.1016/j.giq.2015.09.003.
   Web of Science ®Google Scholar
• Jho, W., and K. J. Song. 2015. “Institutional and Technological Determinants of Civil e-Participation: Solo or Duet?” Government Information Quarterly 32 (4): 488–495.
   Web of Science ®Google Scholar
• Joreskog, K. G. 1971. “Simultaneous Factor Analysis in Several Populations.” Psychometrika 36 (4): 409–426.
   Web of Science ®Google Scholar
• Kang, J. 2018. “Mobile Payment in Fintech Environment: Trends, Security Challenges, and Services.” Human-Centric Computing and Information Sciences 8 (1). https://doi.org/10.1186/s13673-018-0155-4.
   Google Scholar
• Khan, A., S. Krishnan, and J. Arayankalam. 2020. “The Role of ICT Laws and National Culture in Determining ICT Diffusion and Well-Being : A Cross-Country Examination.” Information Systems Frontiers.
   Web of Science ®Google Scholar
• Khan, A., & Krishnan, S. (2019). ICT Unbounded, Social Impact of Bright ICT Adoption. International Working Conference on Transfer and Diffusion of IT, 558, 73–89. https://doi.org/10.1007/978-3-030-20671-0
   Google Scholar
• Krishnan, S., and T. S. Teo. 2012. “Moderating Effects of Governance on Information Infrastructure and e-Government Development.” Journal of the American Society for Information Science and Technology 63 (10): 1929–1946.
   Web of Science ®Google Scholar
• Krishnan, S., T. S. Teo, and V. K. Lim. 2013. “Examining the Relationships among e-Government Maturity, Corruption, Economic Prosperity and Environmental Degradation: A Cross-Country Analysis.” Information and Management 50 (8): 638–649.
   Web of Science ®Google Scholar
• Krishnan, S., T. S. Teo, and J. Lymm. 2017. “Determinants of Electronic Participation and Electronic Government Maturity: Insights from Cross-Country Data.” International Journal of Information Management 37 (4): 297–312.
   Web of Science ®Google Scholar
• Le Blanc, D. 2020. E-Participation: A Quick Overview of Recent Qualitative Trends.
   Google Scholar
• Lewis, W. A. 1955. The Theory of Economic Growth.
   Google Scholar
• Macintosh, A., and A. Whyte. 2008. “Towards an Evaluation Framework for EParticipation.” Transforming Government: People, Process and Policy 2 (1).
   Google Scholar
• Medaglia, R. 2012. “eParticipation Research: Moving Characterization Forward (2006–2011).” Government Information Quarterly 29 (3): 346–360.
   Web of Science ®Google Scholar
• Merhi, M. I. 2020. “A Cross-Country Analysis of Cross-Border E-Commerce Adoption.” In AMCIS 2020 Proceedings, 1–5.
   Google Scholar
• Meso, P., P. Musa, D. Straub, and V. Mbarika. 2009. “Information Infrastructure, Governance, and Socio-Economic Development in Developing Countries.” European Journal of Information Systems 18 (1): 52–65.
   Web of Science ®Google Scholar
• Naranjo-Zolotov, M., T. Oliveira, and S. Casteleyn. 2019. “Citizens’ Intention to Use and Recommend e-Participation.” Information Technology and People 32 (2): 364–386. https://doi.org/10.1108/ITP-08-2017-0257.
   Web of Science ®Google Scholar
• Newman, L., Browne-Yung, K., Raghavendra, P., Wood, D., & Grace, E. (2017). Applying a critical approach to investigate barriers to digital inclusion and online social networking among young people with disabilities. Information Systems Journal, 27(5), 559–588. https://doi.org/10.1111/isj.12106
   Web of Science ®Google Scholar
• Noam, E. M. 2010. “Regulation 3.0 for Telecom 3.0.” Telecommunications Policy 34 (1–2): 4–10. https://doi.org/10.1016/j.telpol.2009.11.004.
   Web of Science ®Google Scholar
• Olumoye, M. Y., & Govender, I. (2018). An empirical investigation of factors influencing integrated e-Government implementation in Nigeria: A case of housing and urban development agency. Electronic Journal of Information Systems in Developing Countries, 84(1), 1–13. https://doi.org/10.1002/isd2.12012
   Web of Science ®Google Scholar
• Pardo, T. A., T. Nam, and G. B. Burke. 2012. “E-government Interoperability: Interaction of Policy, Management, and Technology Dimensions.” Social Science Computer Review 30 (1): 7–23.
   Web of Science ®Google Scholar
• Park, S. 2017. “Digital Inequalities in Rural Australia: A Double Jeopardy of Remoteness and Social Exclusion.” Journal of Rural Studies 54: 399–407. https://doi.org/10.1016/j.jrurstud.2015.12.018.
   Web of Science ®Google Scholar
• Peng, D. X., and F. Lai. 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. https://doi.org/10.1016/j.jom.2012.06.002.
   Web of Science ®Google Scholar
• Phang, C. W., and A. Kankanhalli. 2008. “A Framework of ICT Exploitation for e-Participation Initiatives.” Communications of the ACM 51 (12): 128–132.
   Web of Science ®Google Scholar
• Pirannejad, A., M. Janssen, and J. Rezaei. 2019. “Towards a Balanced E-Participation Index: Integrating Government and Society Perspectives.” Government Information Quarterly 36 (4): 101404. https://doi.org/10.1016/j.giq.2019.101404.
   Web of Science ®Google Scholar
• Porwol, L., A. Ojo, and J. G. Breslin. 2016. “An Ontology for Next Generation e-Participation Initiatives.” Government Information Quarterly 33 (3): 583–594. https://doi.org/10.1016/j.giq.2016.01.007.
   Web of Science ®Google Scholar
• Rashid, A. T. 2016. “Digital Inclusion and Social Inequality: Gender Differences in ICT Access and Use in Five Developing Countries.” Gender, Technology and Development 20 (3): 306–332. https://doi.org/10.1177/0971852416660651.
   Web of Science ®Google Scholar
• Richter, N. F., S. Schubring, S. Hauff, C. M. Ringle, and M. Sarstedt. 2020. “When Predictors of Outcomes are Necessary: Guidelines for the Combined use of PLS-SEM and NCA.” Industrial Management and Data Systems 120 (12): 2243–2267.
   Web of Science ®Google Scholar
• Sæbø, Ø, L. S. Flak, and M. K. Sein. 2011. “Understanding the Dynamics in e-Participation Initiatives: Looking Through the Genre and Stakeholder Lenses.” Government Information Quarterly 28 (3): 416–425. https://doi.org/10.1016/j.giq.2010.10.005.
   Web of Science ®Google Scholar
• Sæbø, Ø, J. Rose, and L. S. Flak. 2008. “The Shape of EParticipation: Characterizing an Emerging Research Area.” Government Information Quarterly 25 (3): 400–428.
   Web of Science ®Google Scholar
• Salemink, K., D. Strijker, and G. Bosworth. 2017. “Rural Development in the Digital Age: A Systematic Literature Review on Unequal ICT Availability, Adoption, and Use in Rural Areas.” Journal of Rural Studies 54: 360–371. https://doi.org/10.1016/j.jrurstud.2015.09.001.
   Web of Science ®Google Scholar
• Sarantis, D., S. Smithson, Y. Charalabidis, and D. Askounis. 2010. “A Critical Assessment of Project Management Methods with Respect to Electronic Government Implementation Challenges.” Systemic Practice and Action Research 23: 301–321.
   Web of Science ®Google Scholar
• Schultz, T. 1961. “Investment in Human Capital.” American Economic Review 51 (1): 1–17.
   Web of Science ®Google Scholar
• Siau, K., and Y. Long. 2009. “Factors Impacting e-Government Development.” Journal of Computer Information Systems 50 (1): 98–107.
   Web of Science ®Google Scholar
• Silal, P., A. Jha, and D. Saha. 2019. “From E – Government to Good Governance : The Mediating Role of Government E – Participation.” In Proceedings of the International Conference on Information Systems (ICIS 2019), 1–17. Munich Germany, 15–18 December. https://aisel.aisnet.org/icis2019/digital_government/digital_government/6/
   Google Scholar
• Simonofski, A., M. Snoeck, B. Vanderose, J. Crompvoets, and N. Habra. 2017. Reexamining e-Participation: Systematic Literature Review on Citizen Participation in e-Government Service Delivery.
   Google Scholar
• Singh, H., A. Das, and D. Joseph. 2007. “Country-level Determinants of e-Government Maturity.” Communications of the Association for Information Systems 20 (1): 40.
   Google Scholar
• Srivastava, S. C., and T. S. Teo. 2010. “E-government, e-Business, and National Economic Performance.” Communications of the Association for Information Systems 26 (1): 14.
   Google Scholar
• Suebvises, P. 2018. “Social Capital, Citizen Participation in Public Administration, and Public Sector Performance in Thailand.” World Development 109: 236–248. https://doi.org/10.1016/j.worlddev.2018.05.007.
   Web of Science ®Google Scholar
• Toots, M. 2019. “Why E-Participation Systems Fail: The Case of Estonia’s Osale.ee.” Government Information Quarterly 36 (3): 546–559. https://doi.org/10.1016/j.giq.2019.02.002.
   Web of Science ®Google Scholar
• Tornatzky, L., and M. Fleischer. 1990. The Process of Technology Innovation. Lexington, MA: Lexington Books. 165.
   Google Scholar
• United Nations Department of Economic and Social Affairs. 2014. “United Nations E-Government Survey 2014.” http://unpan1.un.org/intradoc/groups/public/documents/UN DPADM/UNPAN038853.pdf.
   Google Scholar
• Van Deursen, A. J., and J. A. van Dijk. 2009. “Improving Digital Skills for the Use of Online Public Information and Services.” Government Information Quarterly 26 (2): 333–340.
   Web of Science ®Google Scholar
• Vermeeren, B. 2017. “Influencing Public Sector Performance: Studying the Impact of Ability-, Motivation- and Opportunity-Enhancing Human Resources Practices on Various Performance Outcomes in the Public Sector.” International Review of Administrative Sciences 83 (4): 717–737. https://doi.org/10.1177/0020852315591642.
   Web of Science ®Google Scholar
• Vicente, M. R., and A. Novo. 2014. “An Empirical Analysis of e-Participation. The Role of Social Networks and e-Government Over Citizens’ Online Engagement.” Government Information Quarterly 31 (3): 379–387. https://doi.org/10.1016/j.giq.2013.12.006.
   Web of Science ®Google Scholar
• Voorhees, C. M., M. K. Brady, R. Calantone, and E. Ramirez. 2016. “Discriminant Validity Testing in Marketing: an Analysis, Causes for Concern, and Proposed Remedies.” Journal of the Academy of Marketing Science 44 (1): 119–134. https://doi.org/10.1007/s11747-015-0455-4.
   Web of Science ®Google Scholar
• Waema, T. M., and O. Okinda. 2017. “Policy Implications of the Relationship Between ICT Access and Usage and Well-Being: A Case Study of Kenya.” In African Economic Transformation in the Digital Age, edited by M. Muchie and A. Baskaran, 111–132. New Jersey: Africa World Press.
   Google Scholar
• Wallsten, S. (2005). Regulation and Internet Use in Developing Countries. The University Chicago Press Journals, 53(2), 501–523.
   Google Scholar
• Wang, S. T. 2019. “The Effects of Risk Appraisal and Coping Appraisal on the Adoption Intention of m-Payment.” International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-10-2018-0272
   Google Scholar