TITLE:
Validating Intrinsic Factors Informing E-Commerce: Categorical Data Analysis Demo
AUTHORS:
Anthony Joe Turkson, John Awuah Addor, Douglas Yenwon Kharib
KEYWORDS:
Categorical Data, Chi-Square, E-Commerce, Ordinal Data, Nominal Data
JOURNAL NAME:
Open Journal of Statistics,
Vol.11 No.5,
October
12,
2021
ABSTRACT: Statistics
is a powerful tool for data measurement. Statistical techniques properly
planned and executed give meaning to meaningless data. The difficulty some
practitioners encounter hinges on the fact that though there are numerous
statistical methods available for use in analysis, the extent of their
understanding and ease of using these tools for analysis is limited. This study
has twofold purpose: firstly, literature on categorical data commonly used in
research was reviewed; next, we
reported the results of a survey we designed and executed. Categorical data was
collected via questionnaire and analyzed to serve as a backbone of the
robustness of categorical data. Several conjectures
about the independence of the socio-economic variables and e-commence were tested. Some of the factors influencing patronage of e-commerce were identified. It is clear from the literature that as
one’s academic qualification improves, there is an associated improvement in their
preference for e-commerce, but the results revealed otherwise. Size of family
was found to influence e-commerce. Both income and social status positively
affected patronage in e-commerce. Gender
also appeared to affect patronage in e-commerce. 62.3% of staff had
patronized e-commerce. This shows
that e-commerce patronage was gradually increasing. It is therefore our
considered view that policy documents regulating and monitoring the use of
e-commerce be developed to increase e-commerce participation across the globe. It is also recommended that
the bottlenecks which obstruct patronage in e-commence be addressed so that a
lot more staff will develop a positive attitude towards e-commerce.