Knowledge-creating behavior index for improving knowledge worker's productivity

  • Authors:
  • Nobuo Sato;Satomi Tsuji;Kazuo Yano;Rieko Otsuka;Norihiko Moriwaki;Koji Ara;Yoshihiro Wakisaka;Norio Ohkubo;Miki Hayakawa;Youichi Horry

  • Affiliations:
  • Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan;Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan;Advanced Research Laboratory, Hitachi, Ltd., Saitama, Japan

  • Venue:
  • INSS'09 Proceedings of the 6th international conference on Networked sensing systems
  • Year:
  • 2009

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Abstract

Improving the productivity of knowledge workers is becoming a major issue in corporate management in the 21st century. "Business Microscope" is a sensornet application designed to improve organizations. Organizational improvement is facilitated by the visualization of each worker's behavior. In addition, the improvement can be accelerated further by presenting a beneficial index. In this paper, we propose a novel index for organizational improvement using Business Microscope. Thus, "active face-to-face interaction" and "concentration time" are proposed as an effective knowledge-creating behavior index, and a knowledge-creating behavior balance graph is developed as a visualization application. We focus here on the quality of communication measured from gestures in face-to-face interactions. Additionally, the behavior index is obtained from infrared sensor data and acceleration sensor data. As a result of applying this proposed application to a real organization, we were able to identify which worker and organization problems need to be improved. The effectiveness of the productivity analysis on knowledge workers was also confirmed.