0000000001186855
AUTHOR
Brenda Mak
A model to assess the behavioral impacts of consultative knowledge based systems
This paper develops a research model to study the behavioral impacts of consultative knowledge based systems (KBS). An experiment was conducted with 36 experienced MBA students in marketing management to explore to what extent their decisions were affected by the following factors: user participation in updating the knowledge-base of the KBS, ambiguity of decision setting, routinization of usage, and source credibility of the expertise embedded in the KBS. Results show that ambiguity and source credibility affect user acceptance of the KBS recommendation and cause them to revise decisions. Implications of these findings for the design of consultative KBS are discussed.
User participation in knowledge update of expert systems
Abstract Applying the Elaboration Likelihood Model (ELM) of persuasion we conducted an experiment to examine the effect of participation of users in the design process on their acceptance of system recommendations and revision of their original decisions. Results of our study indicate that two different types of information processing occur when subjects are reviewing the expert system recommendations. 1. (i) For users who have a high perceived level of participation in updating the knowledge of the ES, ambiguity of the decision setting is the primary determinant affecting acceptance of the recommendation from the ES. 2. (ii) For users who have a low perceived level of participation in upda…