The effectiveness of business -to -business word -of -mouth marketing strategies

Facilitated business-to-business (B2B) word-of-mouth (WOM) is becoming an important marketing tactic. A paucity of academic research has measured the effectiveness of facilitated B2B WOM. Previous research has also failed to adequately measure its effectiveness on target audiences\u27 purchase decisions, information sharing decisions and its reinforcement effect on manufacturer advertising. A conceptual framework was employed to model the effectiveness of facilitated B2B WOM on target audiences\u27 purchase volume, the time of first adoption, information sharing decisions, and recall of product benefits as signaled by manufacturer advertising. Other factors that affect purchase decisions were also considered including product characteristics, audience characteristics, and manufacturer influences. These factors interact with facilitated B2B WOM to shape target audiences\u27 purchase decisions. Four products were selected to conduct this study including two crop expendable inputs, a livestock expendable input and a companion animal product. Data were collected through telephone surveys with initiative participants and non-participants. Both linear regression estimation and Logit estimation procedures were employed to test hypotheses about the effectiveness of facilitated B2B WOM. Results suggest that the interaction between facilitated B2B WOM and a respondent\u27s previous experiences with the product affects the quantity purchased. A direct effect of B2B WOM on purchase behavior was not measured at standard levels of statistical significance. Participation in a facilitated B2B WOM initiative did not have a statistically significant impact on the time of first adoption of the two crop expendable inputs. Facilitated B2B WOM was reported to have some impact on a respondent\u27s recall of benefits about a Canadian crop expendable input as signaled by manufacturer advertising messages. In addition, participants in B2B WOM initiatives clearly shared information with peers/clients and characteristics of initiative participants who shared information with larger numbers of peers/clients were identified. Future research should expand sample size, use actual purchase quantities instead of respondent estimates, and consider the lag between respondent participation in the initiative and the assessment of benefits to improve the ability to measure the impact of facilitated B2B WOM initiatives. Also, exploring the return on investment (ROI), including all behavioral impacts of the B2B WOM initiative, would be productive