EXAMINING THE EFFECTS OF E-VISA REGIME ADOPTION ON PROCESSING OF TRAVELERS IN KENYA

CASE OF MALABA AND BUSIA BORDER POSTS

  • ROBERT GAMOING Kenyatta University [KU], Kenya
  • WILSON MUNA, PhD Kenyatta University [KU], Kenya
Keywords: E-Visa, Immigration, Visa Processing, Technology Adoption, Visa Process Automation, Border Management

Abstract

The e-visa regime is a relatively new phenomenon globally, and little evidence exists that demonstrate its effectiveness on processing of travelers at boarder points. The purpose of this project therefore was to study the effects of e-visa regime, particularly the application requirements, means of payment, clearance time and adoption of technology on processing of travelers. The study was guided predominantly by the Technology Adoption Model, and complemented by Theory of Planned Behavior and Diffusion of Innovation Theory. Two of the busiest border posts in Kenya were randomly selected, these are, Busia and Malaba along the Kenya-Uganda boarder. The target population comprised 700 inbound travelers at the Busia and 100 outbound travelers at the Malaba border post. It also comprised 50 immigration officers on the Kenyan side of the border. Hence the target population was 850 respondents. A sample size of 170 was then derived from the target population; this was 20% of the target population. Data was collected mainly by use of semi-structured questionnaires among the travellers, and interview schedules among the immigration officers. A pilot study was conducted at the Namanga border post to determine the validity and reliability of the data collection tool, and improve on gaps identified. The data was analyzed through descriptive and inferential statistics. Regression analysis was used to determine the relationship between the study variables. Quantitative data was presented using frequency tables, percentages, bar graphs and pie charts while thematic analysis was used to analyze qualitative data where data was coded into themes for interpretation and analysis. In order to address ethical considerations, letters of authorization to undertake this research was sought from Kenyatta University, the National Council for Science Technology and Innovation (NACOSTI), as well as from the relevant National and County government authorities in Busia County. The researcher sought informed consent, while observing objectivity, confidentiality and anonymity. The study concluded that the adoption of e-visa, in terms of clearance time, application information, means of payment, and technological adoption significantly influenced the visa processing at the border points of Malaba and Busia. The study recommended continued capacity building and creation of awareness on the e-visa influenced the processing of travellers at the Malaba and Busia border.

Author Biographies

ROBERT GAMOING, Kenyatta University [KU], Kenya

Student, Master of Arts in Public Policy and Administration, School of Humanities and Social Sciences

WILSON MUNA, PhD, Kenyatta University [KU], Kenya

Lecturer, Department of Public Policy and Administration, School of Humanities and Social Sciences

References

Abdirahman, H. A. (2016). Service quality practices and customer satisfaction in taxi companies in Nairobi (Doctoral dissertation, University of Nairobi).

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS quarterly, 227-247.

Agarwal, R. P. (2000). Difference equations and inequalities: theory, methods, and applications. CRC Press.

Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000). The evolving relationship between general and specific computer self-efficacy—An empirical assessment. Information systems research, 11(4), 418-430.

Allas, T., & Hunt, V. (2018). Accelerating the diffusion of technology-enabled business practices. Strategy & Corporate Finance.

Andrieu, M. (2016). The future of e‐ money: main trends and driving forces. Foresight, 3(5), 79-111.

Azam, S. (2015). Diffusion of ICT and SME Performance. London: SAGE Publications .

Blanke, J. (2013). The travel & tourism competitiveness report 2013. In The World Economic Forum. Koroni, Switzerland: World Economic Forum.

Cebekhulu, N. P. (2016). Assessing security measures at hotels: A case study from Gauteng (Doctoral dissertation).

Chwelos, P., Benbasat, I., & Dexter, A.S. (2013). Research Report: Empirical Test of an EDI Adoption Model. Information Systems Research, 12(3), 304-321.

Clifton, D. (2012). Hospitality security: Managing security in today’s hotel, lodging, entertainment, and tourism environment. Boca Raton, FL: CRC Press.

Crittenden, V. L., Peterson, R. A., & Albaum, G. (2010). Technology and Business- To-Consumer Selling: Contemplating Research and Practice. Journal of Personal Selling & Sales Management, 30(2), 103–109.

Davenport, T. H. (1993). Process innovation: reengineering work through information technology. Harvard Business Press.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, S. G. (1986). Parades and power: Street theatre in nineteenth-century Philadelphia (p. 5). Philadelphia: Temple University Press.

Erik Lee, Christopher E. Wilson, Francisco Lara-Valencia, Carlos A. Dela Parra, Rick Van Schok, Kristofer patron- Soberano, Erick L. Olson, Andrew Selee (2013) the state of the border report; A comprehensive analysis of the U.S-Mexico border, Mexico institute.

Esoimeme, E. E. (2018). A comparative analysis of the prepaid card laws/regulations in Nigeria, the UK, the USA and India. Journal of Money Laundering Control, 21(4), 13-45.

Gathumbi, J. O. (2015). Factors affecting electronic payment adoption by Matatu owners SACCOS In Nairobi City County (Doctoral dissertation, University of Nairobi).

Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.

Gill, T. M., Baker, D. I., Gottschalk, M., Peduzzi, P. N., Allore, H., & Byers, A. (2002). A program to prevent functional decline in physically frail, elderly persons who live at home. New England Journal of Medicine, 347(14), 1068-1074.

Halowaty, M. (2013). Understanding tourists in Uganda: exploring motivation and characteristics of non-resident visitors to Uganda. University of Manitoba (Canada)

Hoque, M. S., Benjakul, S., & Prodpran, T. (2011). Properties of film from cuttlefish (Sepia pharaonis) skin gelatin incorporated with cinnamon, clove and star anise extracts. Food Hydrocolloids, 25(5), 1085-1097.

Kombo, D., & Tromp, D. (2009). Project and Thesis Writing: An introduction . Nairobi: Pauline Publishers .

Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision support systems, 29(3), 269-282.

Lok, C. K. (2015). Adoption of smart card-based e-payment system for retailing in Hong Kong using an extended technology acceptance model. Emerald Group Publishing Limited.

Mangal, V. & Karmarkar, U. S.  (2006). Business continuity and technology in the retail sector. In The Business and Information Technologies (BIT) Project: A Global Study of Business Practice (pp. 289-306).

Maranga, K., & Sampayo, J. (2015). Management and leadership in a global environment. Journal of Management Policy and Practice, 16(1), 83.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.

Moraczewska, A. (2010). The changing interpretation of border functions in international relations. Revista Română de Geografie Politică, 12(2), 329-340.

Moragori, C. K. (2021). Assessment of border management policies on national security in Nairobi County, Kenya (Doctoral dissertation, Africa Nazarene University).

Munyao, Y. K. (2020). The Effectiveness of Electronic Payment System on Revenue Performance in Kenya’s Hotel Industry: A Case of Sarova Hotels (Doctoral dissertation, United States International University-Africa).

Nadi, M. (2019). The Impact of Visa Facilities on Tourism Sector Case study for Algeria.

Nguyen, D., & Gopalaswamy, A. K. (2018). The interface between electronic banking and accounting modules: A case analysis of companies in Vietnam. Journal of Advances in Management Research.

Ochieng, F. O. (2017). Quality of Service and Process Efficiency at Immigration Points: a Case of Busia and Malaba Border Posts (Doctoral dissertation, university of Nairobi).

Otusanya, O. J., & Lauwo, S. G. (2019). Corruption and socio-political economic structures: a case of Nigeria. Journal of Financial Crime.

Pagani, M. (2013). Digital Business Strategy and Value Creation: Framing the Dynamic Cycle of Control Points. MIS Quarterly, 37(2), 617–632.

Riemenschneider, C. K., Harrison, D. A., & Mykytyn Jr, P. P. (2003). Understanding IT adoption decisions in small business: integrating current theories. Information & management, 40(4), 269-285.

Sethi, V., & King, W. R. (1994). Development of measures to assess the extent to which an information technology application provides competitive advantage. Management science, 40(12), 1601-1627.

Snee, R. D. (1993). What's missing in statistical education?. The American statistician, 47(2), 149-154.

Sokolova, T. (2017). A focus on partisanship: How it impacts voting behaviors and political attitudes. Journal of Consumer Psychology, 27(4), 537-545.

Song, H., Gartner, W. C., & Tasci, A. D. (2012). Visa restrictions and their adverse economic and marketing implications–Evidence from China. Tourism Management, 33(2), 397-412.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.

Thong, J. Y. (1999). An integrated model of information systems adoption in small businesses. Journal of management information systems, 15(4), 187-214.

Tornatzky, L. G., & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on engineering management, (1), 28-45.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.

Venkatraman, N. (1994). IT-enabled business transformation: from automation to business scope redefinition. Sloan management review, 35, 73-73.
Published
2023-04-07
Section
Articles