Adoption and Use of an Electronic Voting System in Ghana
Authors: Isaac Kofi Mensah
The manual system of voting has been the most widely used system of electing representatives around the globe, particularly in Africa. Due to the known numerous problems and challenges associated with the manual system of voting, many countries are migrating to the electronic voting system as a suitable and credible means of electing representatives over the manual paper-based system. This research paper therefore investigated the factors influencing adoption and use of an electronic voting system in Ghana. A total of 400 Questionnaire Instruments (QI) were administered to potential respondents in Ghana, of which 387 responded representing a response rate of 96.75%. The Technology Acceptance Model was used as the theoretical framework for the study. The research model was tested using a simple linear regression analysis with SPSS. A little of over 71.1% of the respondents recommended the Electoral Commission (EC) of Ghana to adopt an electronic voting system in the conduct of public elections in Ghana. The results indicated that all the six predictors such as perceived usefulness (PU), perceived ease of use (PEOU), perceived free and fair elections (PFFF), perceived credible elections (PCE), perceived system integrity (PSI) and citizens trust in the election management body (CTEM) were all positively significant in predicting the readiness of citizens to adopt and use an electronic voting system in Ghana. However, jointly, the hypotheses tested revealed that apart from Perceived Free and Fair Elections and Perceived Credible and Transparent Elections, all the other factors such as PU, Perceived System Integrity and Security and Citizen Trust in the Election Management Body were found to be significant predictors of the Willingness of Ghanaians to use an electronic voting system. All the six factors considered in this study jointly account for about 53.1% of the reasons determining the readiness to adopt and use an electronic voting system in Ghana. The implications of this research finding on elections in Ghana are discussed.
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 Mourine Achieng and Ephias Ruhode (2013) . The Adoption And Challenges Of Electronic Voting Technologies Within The South African Context. International Journal of Managing Information Technology (IJMIT) Vol.5, No.4, November 2013.
 Alomari, M.K., Woods, P. and Sandhu, K. (2012), “Predictors for e-government adoption in Jordan: deployment of an empirical evaluation based on a citizen-centric approach”, Information Technology & People, Vol. 25 No. 2, pp. 207-234.
 Nu’man, A. (2012), “A framework for adopting e-voting in Jordan”, Electronic Journal of E-Government, Vol. 10 No. 2, pp. 133-146.
 Mohammad Kamel Alomari , (2016),"E-voting adoption in a developing country ", Transforming Government: People, Process and Policy, Vol. 10 Iss 4 pp. 526 – 547. Permanent link to this document: http://dx.doi.org/10.1108/TG-11-2015-0046.
 Kumar, S. and Walia, E. (2011), “Analysis of electronic voting system in various countries”, International Journal on Computer Science and Engineering, Vol. 3 No. 5, pp. 1825-1830.
 Uhrmann, P. (2003), “Das potential von e-voting”, in Prosser, A. and Krimmer, R. (Eds), e-Democracy, Technologie, Recht und Politik, OCG Verlag, Vienna, pp. 163-174.
 Volkamer, M. and Hutter, D. (2004), “From legal principles to an internet voting system”, in Prosser, A. and Krimmer, R. (Eds), Electronic Voting in Europe – Technology, Law, Politics and Society, GI Verlag, Bregenz, pp. 111-120.
 Charlott Eliasson André Zúquete, (2006),"An electronic voting system supporting vote weights", Internet Research, Vol. 16 Iss 5 pp. 507 – 518 Permanent link to this document: http://dx.doi.org/10.1108/10662240610710987.
 Culnane Chris, Peter Y. A. Ryan, Steve Schneider, Vanessa Teague (2015). vVote: A Verifiable Voting System. CM Transactions on Information and System Security, Vol. 18, No. 1, Article 3, Publication date: June 2015. DOI: http://dx.doi.org/10.1145/2746338.
 Mensah, I. (2016). 'Citizens’ Readiness to Adopt and Use Electronic Voting System in Ghana'. World Academy of Science, Engineering and Technology, International Science Index 111, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 10(3), 786 - 792.
 Davis, F. D. (1989). “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly (13:3), 1989, pp. 319‐339.
 Lee, E.J., Kwon, K.N., and Schumann, D.W. (2005). Segmenting the non‐adopter category in the diffusion of internet banking. The International Journal of Bank Marketing, Vol. 23 No. 4, pp. 414‐37.
 Shafeek, S.A., 2011. E-learning technology acceptance model with cultural factors. MSc. Thesis, Liverpool John Moores University, School of Computing and Mathematical Sciences.
 Zhou, L., Dai, L. & Zhang, D. (2007), “Online Shopping Acceptance Model — A Critical Survey Of Consumer Factors In Online Shopping”. Journal of Electronic Commerce Research, Vol. 8, No.1, pp. 41‐62.
 Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2005). Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation. Information & Management, 42, 1095–1104.
 Liu, S., Liao, H., & Peng, C. (2005). Applying the technology acceptance model and flow theory to online e-learning users’ acceptance behavior. Issues in Information Systems, 6(2), 175–181.
 Pituch, K.A, & Lee, Y.-K. (2006). The influence of system characteristics on e-learning use. Computers Education, 47, 222–244.
 Saadé, R. G., Nebebe, F., & Tan, W. (2007). Viability of the technology acceptance model in multimedia learning environments: Comparative study. Interdisciplinary Journal of Knowledge and Learning Objects, 37, 175–184.
 Pavlou P.A. (2003). “Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model”. International Journal of Electronic Commerce, 7(3), 69‐103.
 Pikkarainen, T., Pikkarainen, K., Karijaluoto, H. and Pahnila, S. (2004), Customer acceptance of on-line banking: an extension of the technology acceptance model, Internet Research, vol. 14(3), pp. 224-235.
 Isaac Kofi Mensah (2017): Citizens’ Readiness to Adopt and Use E-government Services in the City of Harbin, China, International Journal of Public Administration, DOI: 10.1080/01900692.2016.1263658. http://dx.doi.org/10.1080/01900692.2016.1263658.
 Ervasti, M. and Helaakoski, H. (2010).“Case study of application‐based mobile service acceptance and development in Finland”. Int. J. Information Technology and Management, 9 (3), 243‐259.
 Chau, P. and Hu, P. (2001) “Information Technology Acceptance by Individual Professionals: A Model of Comparison Approach,” Decision Sciences, Vol.32, No.4, pp.699‐719.
 Hinton, P. R., Brownlow, Ch., McMurray, I., Cozens, B. (2004) SPSS explained. Hove: Routledge.
 L. Christian Schaupp Lemuria Carter, (2005),"E-voting: from apathy to adoption", Journal of Enterprise Information Management, Vol. 18 Iss 5 pp. 586 – 601 Permanent link to this document: http://dx.doi.org/10.1108/17410390510624025.