A Multi-task Principal Agent Model for Knowledge Contribution of Enterprise Staff

Abstract

According to the different behavior characteristics of knowledge contribution of enterprise employees, a multi-task principal-agent relationship of knowledge contribution between enterprise and employees is established based on principal-agent theory, analyzing staff's knowledge contribution behavior of knowledge creation and knowledge participation. Based on this, a multi-task principal agent model for knowledge contribution of enterprise staff is developed to formulate the asymmetry of information in knowledge contribution Then, a set of incentive measures are derived from the theoretic model, aiming to prompt the knowledge contribution in enterprise. The result shows that staff's knowledge creation behavior and positive participation behavior can influence and further promote each other Enterprise should set up respective target levels of both knowledge creation contribution and knowledge participation contribution and make them irreplaceable to each other. This work contributes primarily to the development of the literature on knowledge management and principal-agent theory. In addition, the applicability of the findings will be improved by further empirical analysis.

Exploring the Continuous Motivation of Algorithm Engineers under Multiple Objectives: A Mixed-Methods Study

“…Unlike in a single-task environment, tasks are clear, and there is mutual influence between tasks in multi-task environment. The literature studied the interaction between different tasks, as well as how to optimize the assignment of tasks among different professional agents [9,10]. The dynamic model proposed to study how to handle multi-task situations when employees have a certain specialty was also investigated [11,12].…”