Credit Card Practices, Attitudes, Problems And Risks Among Individuals: Empirical Findings Using Structural Equation Model
2015
Credit card unhealthy practices have been a world-wide challenge in the global business
environment for years. The effect of default hits not only the victim, but also the banks, credit
card companies and merchants. The objective of this paper is to examine the relationship
amongst practices, attitudes, problems and risks related to credit card usage. A literature review
on prior studies has indicated that there is a methodological gap to be filled in this area. Novelty
is achieved by the usage of partial least square (PLS) model in answering the hypotheses.
Multilevel method analysis using PLS allows for efficiency, convergence and power when
investigating the causal effects in the two-level data, ensuring that the support for hypothesis is
much more acceptable. Out of the 150 total survey questionnaires distributed, 114 were returned
and used. Face to face data collection method was employed to enhance the response rate. Prior
to collecting the data, the content of the survey questionnaire was reviewed by a content expert
to enhance the understandability of the instrument. Mean analysis was performed to describe the
profile of respondents. Mann Whitney test reports (p = 0.71) indicated that bias did not exist in
this study, whereas Kolmogorov-Smirnov test in this paper showed (p > 0.05) proving normality
in the data distribution. Convergent validity (average variance extracted > 0.50; composite
reliability > 0.80) was also reported prior to presenting the final model. There is a relationship
between problem, reason and risks related to credit card usage (p < 0.01). Missing bill payment
due dates and paying the debts late could lead to many risks to the users. Poor financing habits
can jeopardise relationships and can lead people to spend more than what is necessary.
However, the relationship between the reason of using credit cards and the risk related to it is
not significant (p = 0.13). Future researchers are suggested to include moderating and
mediating factors in the structural equation model to narrow down the methodological gap
available in this area. [ABSTRACT BY AUTHORS]
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