The Impact of Digital Inside on the Financial Sector of Sub-Saharan Africa
Abstract:
The number of connections, interaction and transmission
of information that we carry out using the digital technology is growing exponentially,
blurring physical barriers and reducing the cost of accessing information. Interconnectivity,
Mobile technology, the internet of things, Big Data, Artificial Intelligence and
automation are the main exponential technologies to which Banks have to adapt now.
The adoption process of digitalization hasn’t been fully successful in sub Saharan
Africa and the implementation process too is still lacking in many ways ie from
employee’s ability to use the right hardware and software to fully work digitally.
Thus, the question of how has the digitalization of the Bank internal process and
people impacted the bank’s operations and productivity? This study made use of both
qualitative and quantitative methods. All scales were tested for reliability using
Pearson Correlation. The relationship
between digitalization and employees of banks investigated using Pearson correlation
coefficient. There was a positive correlation between the two variables [r= .275,
n=46, p=.1], with increasing levels of digitalization associated with higher levels
of employees’ performance. Digital
inside of banks brings about satisfied employees who create satisfied customers
as they work within a shorter time effectively and efficiently. Thus, it can be
concluded that digital inside plays a significant impact in the financial sector
of Sub Saharan Africa even though most employees initially turn to be resistant
to digital transformation in their way of work if it is not properly implemented
as they see it as a possible cause of unemployment.
Keyword: Digitalization, Internal processes, Productivity,
Digital
inside.
References:
[1].
Aaker, D.A., Kumar, V., and Day, G.S. (2010)
“Marketing research”, 9th edition, New York: John Wiley and Sons.
[2].
Anderson, C. L., and Agarwal, R. 2011. “The
Digitization of Healthcare: Boundary Risks, Emotion, and Consumer Willingness to
Disclose Personal Health Information,” Information Systems Research (22:3), pp.
469-490.
[3].
Neuman, W.L. (2007). “Basics of social research
methods: qualitative and quantitative approach”. Boston: Pearson/Allyn.
[4].
Pohjola, M. 2015. Digitalisation ja tuottavuus
finanssialalla. Cited 28.11.2016 & 24.1.2017, http://www.finanssiala.fi/materiaalit/Digitalisaatio_ja_tuottavuus_finanssialalla.
[5].
Tilson,
D., K. Lyytinen, C. Sørenson. 2010. Desperately seeking the infrastructure in IS
research: Conceptualisation of "digital convergence" 43rd HICSS.
[6].
Yoo,
Y., Henfridsson, O., and Lyytinen, K. 2010. “The New Organizing Logic of Digital
Innovation : An Agenda for Information Systems Research,” Information Systems Research
(21:4), pp. 724-735. Zittrain, J. 2008. The Future of the Internet and How to Stop
It, New Haven, CT: Yale University Press.
[7].
Yoo,
Y. 2010. Computing in Everyday life : A call for research on experiential computing.
MIS Quarterly.
[8].
Yoo,
Y., R.J. Boland, K. Lyytinen. 2006. From Organizations design to organization designing.
Organization Science 17(2) 215-229.
[9].
Yoo,
Y., R.J. Boland, K. Lyytinen. 2008. Distributed Innovation in Classes of Network
The 41st.
[10].
Hawaiian
International Conference on Systems Science. IEEE, Big Island, Hawaii.
[11].
Zittrain,
J. 2006. The generative internet. Harvard Law Review 119 1974-2040.
[12].
Zuboff,
S. 1988. In the Age of the Smart Machine: The Future of Work and Power. Basic Books,
New York.