The Internet has become a major driving force behind the development of computer based human resource management systems. This chapter describes e-business analysis, design and implementation of e-Sales Recruitment System (e-SRS) for a recruitment company. It illustrates the application of activity-centered e-business analysis component, problem solving ontology component and transformation agent component of the human-centered e-business system development framework. We begin this chapter with a brief description of human resource management e-business systems. It is followed by a brief discussion of motivation for using information technology in the area of sales recruitment, then followed by a detailed e-business analysis of the sales recruitment activity using the activity-centered e-business analysis component of the human-centered e-business system development framework. Finally, the e-business design of the e-SRS is described based on two alternative approaches. The first approach involves integration of a psychology based selling behavior model of artificial intelligence techniques like rule based expert systems. The selling behavior profiling and benchmarking results are outlined based on the artificial intelligence approach. The alternative approach is an adaptive approach, which involves integration of the selling behavior model with soft computing methods like fuzzy k-means clustering. In this incremental learning approach, the behavioral patterns are mined into meaningful selling behavior category clusters.
KeywordsHuman Resource Management Behavioral Category Behavior Categorization Recruitment Activity Behavior Profile
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