Cash or Card: Consumer Perceptions of Payment Modes - Scholarly ...
Cash or Card: Consumer Perceptions of Payment Modes - Scholarly ...
Cash or Card: Consumer Perceptions of Payment Modes - Scholarly ...
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In this chapter, the methodology f<strong>or</strong> the research is discussed. The chapter begins by<br />
describing the research task, detailing and justifying the research design. It then outlines the<br />
sampling process and the specifics <strong>of</strong> data collection and analysis.<br />
4.2: Research Approach<br />
To address the research questions, the study needs to accomplish a number <strong>of</strong> tasks. One is<br />
concerned with gathering people’s subjective experience <strong>of</strong> two specific money based tokens<br />
commonly used to enable payment f<strong>or</strong> purchases: cash and debit cards. Another is to<br />
identify, quantify and compare the volume and value <strong>of</strong> the products purchased across these<br />
payment modes. A final task is to develop a self rep<strong>or</strong>t instrument that captures payment<br />
mode perceptions and determine if these perceptions are related to payment mode choice.<br />
The first task requires data that reflect the participants’ personal perspective and<br />
interpretation, so a phenomenological approach to data collection is adopted. Though the<br />
intent is to identify individual perceptions, relativist ontology underpins this task as the<br />
assumption is that an individual’s experiences and understandings <strong>of</strong> the w<strong>or</strong>ld create a<br />
unique set <strong>of</strong> perceptions whilst recognising that some <strong>of</strong> these perceptions will be shared by<br />
others. This understanding directs the collection <strong>of</strong> individual and group sourced data. The<br />
remaining tasks require documentation <strong>of</strong> actual products purchased and payment mode used<br />
and the responses to a self-rep<strong>or</strong>t questionnaire. As the intent is to compute this inf<strong>or</strong>mation<br />
and compare responses, data that can be quantified and statistically analysed is required.<br />
Hence, this study adopts a multi-phase, multiple method approach to data collection and<br />
analysis.<br />
Multiple methods are useful in a research program when a series <strong>of</strong> projects are interrelated<br />
within a broad topic and designed to solve an overall research problem (M<strong>or</strong>se 2003: 196). It<br />
essentially refers to blending and integrating a range <strong>of</strong> data and methods involving simple to<br />
complex designs allowing “a m<strong>or</strong>e complete, holistic, and contextual p<strong>or</strong>trayal <strong>of</strong> the unit(s)<br />
under study” (Jick, 1979, p.603). Although some researchers (e.g., Guba & Lincoln, 1988)<br />
argue that internal paradigmatic consistency and logic caution against such mixing, others<br />
note that mixed methods provide strengths that <strong>of</strong>fset the weaknesses <strong>of</strong> studying a research<br />
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