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| Content Provider | Springer Nature Link |
|---|---|
| Author | v. Wangenheim, Florian Bayón, Tomás |
| Copyright Year | 2007 |
| Abstract | It has often been argued that word-of-mouth (WOM) can contribute significantly to a firm’s success in a variety of ways. Here, we analyze the functional linkage between customer satisfaction, WOM, and new customer acquisition. Using data from two empirical studies we conceptualize and test the direct, non-linear, and moderated relationship between satisfaction and WOM. We further explore the circumstances under which WOM leads to new customer acquisition using a logistic regression model. We do so for two groups (new customers and long-term customers) from the customer base of a large energy provider (n = 688), and for a random sample of B2B customers (n = 416) in the same market. Results indicate that the satisfaction-WOM link is non-linear and is moderated by several customer involvement dimensions. Based on our results, we demonstrate how the satisfaction-WOM-new customer acquisition link can enrich return on quality and satisfaction models. Further, we draw conclusions about how companies can make use of both the satisfaction-WOM and the WOM-new customer acquisition link for better allocating their marketing resources. |
| Starting Page | 233 |
| Ending Page | 249 |
| Page Count | 17 |
| File Format | |
| ISSN | 00920703 |
| Journal | Journal of the Academy of Marketing Science |
| Volume Number | 35 |
| Issue Number | 2 |
| e-ISSN | 15527824 |
| Language | English |
| Publisher | Kluwer Academic Publishers-Plenum Publishers |
| Publisher Date | 2007-04-27 |
| Publisher Institution | Academy of Marketing Science |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Word of mouth Customer acquisition Return on quality Customer satisfaction Involvement Social Sciences Marketing Business/Management Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Business and International Management Economics and Econometrics Marketing |
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