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Challenges in the Era of Globalization - iaabd

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<strong>Challenges</strong> <strong>in</strong> <strong>the</strong> <strong>Era</strong> <strong>of</strong> <strong>Globalization</strong><br />

Edited by Emmanuel Obuah<br />

dispositional commitment. Behavioral loyalty is partly determ<strong>in</strong>ed by situational factors, and attitud<strong>in</strong>al<br />

loyalty is more endur<strong>in</strong>g (Chumpitaz & Paparoidamis, 2007; Colgate & Norris, 2001). Loyal customers<br />

are <strong>the</strong> backbone <strong>of</strong> any bus<strong>in</strong>ess because it is less expensive to keep customers than to recruit new ones<br />

(Gee, Coates & Nicholson, 2008).<br />

Conceptual framework<br />

In conceptualiz<strong>in</strong>g CCB, customer satisfaction and customer loyalty, customer compla<strong>in</strong>t behavior<br />

focuses on satisfaction or dissatisfaction through voic<strong>in</strong>g a compla<strong>in</strong>t, private action or public action.<br />

Demographic factors may have a relationship with both CCB and customer loyalty. Figure 1 illustrates<br />

<strong>the</strong> constructs that extant literature consider relevant when conceptualiz<strong>in</strong>g satisfaction and compla<strong>in</strong>t<br />

handl<strong>in</strong>g. We <strong>in</strong>vestigate <strong>the</strong> relationship between <strong>the</strong> dependent variable (customer loyalty) and <strong>the</strong><br />

<strong>in</strong>dependent variables (CCB and customer satisfaction), with <strong>the</strong> moderat<strong>in</strong>g variable <strong>of</strong> demographic<br />

factors.<br />

Figure 1: Relationships between Customer Satisfaction, Customer Loyalty and Customer<br />

Compla<strong>in</strong>t Behavior<br />

CUSTOMER COMPLAINT<br />

BEHAVIOUR<br />

VOICE<br />

Methodology<br />

DEMOGRAPHIC<br />

FACTORS<br />

Age<br />

CUSTOMER SATISFACTION<br />

CUSTOMER<br />

LOYALTY<br />

This study undertook a cross-sectional survey that <strong>in</strong>volved qualitative and quantitative approaches. The<br />

methodological design <strong>of</strong> <strong>the</strong> study was correlational <strong>in</strong> nature. Us<strong>in</strong>g a self-adm<strong>in</strong>istered questionnaire<br />

modified from previous studies, data was collected from a sample <strong>of</strong> 140 customers <strong>in</strong> Uganda as per<br />

Morgan and Krejicie’s (1970) table for determ<strong>in</strong><strong>in</strong>g sample size. The sample was selected through<br />

convenience sampl<strong>in</strong>g due to <strong>the</strong> nature <strong>of</strong> <strong>the</strong> respondents. The response rate for supermarket customers<br />

was 68%. Us<strong>in</strong>g a 5-po<strong>in</strong>t Likert scale (1 Strongly agree, 2 Agree, 3 Not sure, 4 Disagree, 5 Strongly<br />

disagree), respondents were asked key issues about variables <strong>in</strong> <strong>the</strong> study. A pilot test was carried out to<br />

test <strong>the</strong> validity <strong>of</strong> <strong>the</strong> research <strong>in</strong>strument to make sure that it was not vague. The questions <strong>in</strong> <strong>the</strong><br />

questionnaire were tested us<strong>in</strong>g Cronbach’s alpha. The study was done to expand <strong>the</strong> understand<strong>in</strong>g <strong>of</strong><br />

how people who buy from supermarkets <strong>in</strong>terpret <strong>the</strong> concepts <strong>of</strong> CCB, customer satisfaction and<br />

customer loyalty. After collect<strong>in</strong>g <strong>the</strong> data, <strong>the</strong> raw data was coded and entered <strong>in</strong>to <strong>the</strong> computer. The<br />

frequencies and percentages were <strong>the</strong>n used to compare <strong>the</strong> responses. Validity and reliability tests were<br />

carried out. Thereafter, data from <strong>the</strong> reliable <strong>in</strong>struments was entered <strong>in</strong> <strong>the</strong> SPSS packages and<br />

correlations and regression tests were run. Data analysis: The <strong>in</strong>strument was reliable s<strong>in</strong>ce <strong>the</strong> variables<br />

were higher than 0.60.<br />

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