satisfaction and repurchase intention - Allied Academies
satisfaction and repurchase intention - Allied Academies
satisfaction and repurchase intention - Allied Academies
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SATISFACTION AND REPURCHASE INTENTION: B2B<br />
BUYER-SELLER RELATIONSHIPS IN MEDIUM-<br />
TECHNOLOGY INDUSTRIES<br />
Gregory M. Kellar, Wright State University<br />
Michael W. Preis, University of Illinois at Urbana-Champaign<br />
ABSTRACT<br />
Customer <strong>satisfaction</strong> <strong>and</strong> <strong>repurchase</strong> <strong>intention</strong>s are examined in B2B markets for<br />
medium-technology offerings; overall customer <strong>satisfaction</strong> <strong>and</strong> <strong>repurchase</strong> <strong>intention</strong> are<br />
modeled as functions of three components of overall <strong>satisfaction</strong>: <strong>satisfaction</strong> with the<br />
interpersonal relationship with the salesperson, <strong>satisfaction</strong> with vendor performance, <strong>and</strong><br />
product <strong>satisfaction</strong>. The Chow test confirms that overall customer <strong>satisfaction</strong> is different than<br />
<strong>repurchase</strong> <strong>intention</strong> in medium technology industries. Information theoretic techniques are then<br />
applied to variable subset selection to derive optimal linear regression models for overall<br />
customer <strong>satisfaction</strong> <strong>and</strong> <strong>repurchase</strong> <strong>intention</strong> in medium-tech industries. Results explain<br />
approximately 64% of the variance of overall <strong>satisfaction</strong> <strong>and</strong> 37% of the variance of <strong>repurchase</strong><br />
<strong>intention</strong>. The optimal model for overall <strong>satisfaction</strong> includes terms for all three components of<br />
<strong>satisfaction</strong> while the optimal model for <strong>repurchase</strong> <strong>intention</strong> includes terms for only product<br />
<strong>satisfaction</strong> <strong>and</strong> interpersonal <strong>satisfaction</strong>.<br />
INTRODUCTION<br />
It is important for supply chain practitioners to underst<strong>and</strong> customers’ <strong>repurchase</strong><br />
<strong>intention</strong>s <strong>and</strong> the factors that influence <strong>repurchase</strong> <strong>intention</strong>s (Patterson, Johnson & Spreng,<br />
1997) because increased <strong>repurchase</strong>s (customer loyalty) are important to profitability (Fornell,<br />
1992). Patterson, Johnson, <strong>and</strong> Spreng (1997), Shapiro, Slywotzky <strong>and</strong> Doyle (1997), <strong>and</strong> Preis<br />
(2003) find increased customer <strong>satisfaction</strong> is one factor leading to such increased <strong>repurchase</strong><br />
<strong>intention</strong>s. Thus, it is important to obtain a good underst<strong>and</strong>ing of the factors that affect<br />
<strong>satisfaction</strong> <strong>and</strong> hence influence <strong>repurchase</strong> <strong>intention</strong>s.<br />
While a great deal of research on customer <strong>satisfaction</strong> has been performed in consumer<br />
markets, the influence of customer <strong>satisfaction</strong> on supply chains has been largely ignored<br />
(Patterson, Johnson & Spreng, 1997; Szymanski & Henard, 2001; Homburg & Rudolph, 2000).<br />
Kellar <strong>and</strong> Preis (2003) show that the components of <strong>satisfaction</strong> that influence <strong>repurchase</strong><br />
<strong>intention</strong> are different for high-tech <strong>and</strong> low-tech industries. This finding naturally leads to the<br />
question of whether components of <strong>satisfaction</strong> for offerings from industries that are neither<br />
high-tech nor low-tech, i.e., medium-tech, differ substantially from those from high-tech <strong>and</strong><br />
Academy of Information <strong>and</strong> Management Sciences Journal, Volume 14, Number 2, 2011
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Keiningham, Perkins-Munn <strong>and</strong> Evans (2003) find a positive relationship between<br />
customer <strong>satisfaction</strong> <strong>and</strong> share-of-wallet for services in the B2B sector. Similar research on the<br />
relationship between components of <strong>satisfaction</strong> <strong>and</strong> share-of-wallet, <strong>repurchase</strong> <strong>intention</strong> <strong>and</strong><br />
share-of-wallet (i.e., between <strong>repurchase</strong> <strong>intention</strong> <strong>and</strong> actual <strong>repurchase</strong>), <strong>and</strong> <strong>satisfaction</strong> <strong>and</strong><br />
share-of wallet for goods, would all be interesting <strong>and</strong> useful topics to explore.<br />
CONCLUSION<br />
Models have been developed for the effects of three components of <strong>satisfaction</strong> on both<br />
overall <strong>satisfaction</strong> <strong>and</strong> <strong>repurchase</strong> <strong>intention</strong>; the three components examined are <strong>satisfaction</strong><br />
with the product, <strong>satisfaction</strong> with vendor performance, <strong>and</strong> interpersonal <strong>satisfaction</strong>. Results<br />
demonstrate that significant differences exist between the components of <strong>satisfaction</strong> that<br />
influence industrial buyers’ evaluations of overall <strong>satisfaction</strong> <strong>and</strong> the components of <strong>satisfaction</strong><br />
affecting <strong>repurchase</strong> <strong>intention</strong> for offerings from medium-tech industries. More of the variance in<br />
overall <strong>satisfaction</strong> is explained by the components of <strong>satisfaction</strong> than is explained in <strong>repurchase</strong><br />
<strong>intention</strong>.<br />
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