A critical element in the evolution of a fundamental body of knowledge in marketing, as well as for improved marketing practice, is the development of better measures of the variables with which marketers work. In this article an approach is outlined by which this goal can be achieved and portions of the approach are illustrated in terms of a job satisfaction measure.

The authors investigate whether it is necessary to include disconfirmation as an intervening variable affecting satisfaction as is commonly argued, or whether the effect of disconfirmation is adequately captured by expectation and perceived performance. Further, they model the process for two types of products, a durable and a nondurable good, using experimental procedures in which three levels of expectations and three levels of performance are manipulated for each product in a factorial design. Each subject's perceived expectations, performance evaluations, disconfirmation, and satisfaction are subsequently measured by using multiple measures for each construct. The results suggest the effects are different for the two products. For the nondurable good, the relationships are as typically hypothesized. The results for the durable good are different in important respects. First, neither the disconfirmation experience nor subjects’ initial expectations affected subjects’ satisfaction with it. Rather, their satisfaction was determined solely by the performance of the durable good. Expectations did combine with performance to affect disconfirmation, though the magnitude of the disconfirmation experience did not translate into an impact on satisfaction. Finally, the direct performance-satisfaction link accounts for most of the variation in satisfaction.

This position paper argues that current knowledge of the determinants of motivation and performance in industrial selling is woefully inadequate. As a first step toward improving this situation, the authors offer a conceptual model which identifies a set of individual, interpersonal, organizational, and environmental variables that may influence a salesman's motivation and job performance. The model incorporates many constructs and research findings from industrial psychology and other disciplines, but its primary purpose is to provide a conceptual framework and some specific hypotheses to help guide future empirical research in sales management.

The authors use meta-analysis techniques to investigate the evidence that has been gathered on the determinants of salespeople's performance. A search of the published and unpublished literature uncovered 116 articles (the list of which is available upon request) that yielded 1653 reported associations between performance and determinants of that performance. The results indicate the determinants can be ordered in the following way in terms of the average size of their association with performance: (1) role variables, (2) skill, (3) motivation, (4) personal factors, (5) aptitude, and (6) organizational/environmental factors. When ordered according to the amount of the observed variation in correlations across studies that is real variation (i.e., not attributable to sampling error), the determinants rank as follows: (1) personal factors, (2) skill, (3) role variables, (4) aptitude, (5) motivation, and (6) organizational/environmental factors. To investigate whether the associations between each of the categories of predictors and performance could be partially accounted for by the presence of moderator variables, the results were broken out by customer type, product type, and type of dependent measure used. The results indicate that the strength of the relationship between the major determinants and salespeople's performance is affected by the type of products salespeople sell. The authors discuss the implications of these findings for sales managers and researchers.