Salesforce automation, perceived information accuracy and user satisfaction

Purpose - This paper examines how perceptions about salesforce automation (SFA) systems are influenced by the perceived accuracy of the information the system provides.Design methodology approach - Three hypotheses are tested. They are as follows. Sales people who perceive that the information is in...

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Veröffentlicht in:The Journal of business & industrial marketing 2005-01, Vol.20 (1), p.23-32
Hauptverfasser: Gohmann, Stephan F., Barker, Robert M., Faulds, David J., Guan, Jian
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Sprache:eng
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Zusammenfassung:Purpose - This paper examines how perceptions about salesforce automation (SFA) systems are influenced by the perceived accuracy of the information the system provides.Design methodology approach - Three hypotheses are tested. They are as follows. Sales people who perceive that the information is inaccurate will be less likely to: have a positive perception of the system; think that their training was helpful; and think that the system improves their productivity. Chi-square tests are used to test the association between the perceptions of information accuracy and the statements in the hypotheses.Findings - Negative perceptions about the accuracy of information leads to negative perceptions about other aspects of the SFA system.Research limitations implications - This study examines the results for only one particular organization. The results may not be generalizable to other organizations. As similar data about other SFA systems become available, this study can be used as a basis for examining the effect of information accuracy on perceptions of SFA systems.Originality value - Since the company has some control over the accuracy of the information provided by the system, they should attempt to provide information that the salesforce finds useful. To enure that the proper information is provided, management must seek the user's input about what information should be provided. Additionally, the data should be cleansed and provide an indicator of the probability that a particular lead will result in a sale.
ISSN:0885-8624
2052-1189
DOI:10.1108/08858620510576766