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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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you may acquire it from the original journal. Visit http://www.alliedacademies.org to find a link<br />

to the original journal source.


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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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