APPENDIX A: RAW DATA COLLECTED FROM SELECTED STUDIES

APPENDIX A: RAW DATA COLLECTED FROM SELECTED STUDIE

Sensor-based organizational design and engineering

Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 117-127).We propose a sensor-based organizational design and engineering approach that combines behavioral sensor data with other sources of information such as e-mail, surveys, and performance data in order to design interventions aimed at improving organizational outcomes. The proposed system combines sensor measurements, pattern recognition algorithms, simulation and optimization techniques, social network analysis, and feedback mechanisms that aim at continuously monitoring and improving individual and group performance. We describe the system's general specifications and discuss several studies that we conducted in different organizations using the sociometric badge experimental sensing platform. We have deployed such system under naturalistic settings in more than ten organizations up to this date. We show that it is possible to automatically capture group dynamics, and analyze the relationship between organizational behaviors and both subjective and objective outcomes (such as job satisfaction, quality of group interaction, stress, productivity, and group performance). We propose the use of static and dynamic simulation models of group behavior captured by sensors, in order to optimize group configurations that maximize individual and group outcomes, both in terms of job quality characteristics and organizational performance.by Daniel Olguín Olguín.Ph.D

Sensor-Based Feedback Systems in Organizational Computing

Radical change is needed in today's organizations. While e-mail, instant messaging, wikis, prediction markets, and the like have proliferated across myriad sectors, the fundamental practice of management has failed to keep pace. Sensors can automatically measure social behavior occurring in physical space as well as the virtual world. Moreover sensor-based feedback is poised to help create the change necessary to improve performance and satisfaction of workers. In this paper we summarize previous work on sensor-based feedback systems and propose new systems at the individual, group, and organizational level. Our goal is to help direct future research towards these promising avenues