A collaborative network is a network consisting of a variety of entities (e.g. organizations and people) that are largely autonomous and geographically distributed. They are heterogeneous in terms of their operating environment, culture, social capital and goals, but that collaborate to better achieve common goals and whose interactions can be simulated by computer networks. These are call Organizational Network Analysis.
This webinar will begin with the fundamentals of Network Analysis. We will then explain Organizational Network Analysis and collaborative networks. We will then proceed to show various methods of data collection that may be used to create an organization’s network. Next we will display examples of Organizational Networks and how to analyze their structure. Finally, we will explore various example uses of Organizational Network Analysis and the potential this analysis uncovers as bandwidth grows and increasingly Human Resources professionals are turning toward analytics to increase efficiency within their organizations.
Three key learning objectives:
Basic understand of Organizational Network Analysis
Data collection methods to create an Organizational Network Analysis
Human Resource scenarios were Organization Network Analysis is deployed
About the Speaker:
Michael D. Lieberman has more than 27 years of experience as a researcher, statistician and strategist in the marketing, advertising, and political research fields. He has worked extensively with clients in financial services, information technology, food service, telecommunications, human resource, political polling, public relations, and advertising testing fields. He founded Multivariate Solutions in 1998 and now works with an international clientele including advertising firms, political strategy groups, and full service market research companies. Michael Lieberman is an Amazon featured author and has written more than 70 professional articles.
Mr. Lieberman has taught at City University of New York and the University of Georgia as an adjunct professor of statistics and market research.
Michael holds a B.A. degree in Mathematics from Rutgers University, an M.A. degree in International Affairs from George Washington University, and an M.S. degree in Statistics from Rutgers University.
Continuing Education Units:
This session been approved for 1.0 recertification credit hour toward HRIP (Human Resource Information Professional) recertification.
The use of this seal confirms that this activity has met HR Certification Institute’s® (HRCI®) criteria for recertification credit pre-approval.
IHRIM is recognized by SHRM to offer Professional Development Credits (PDCs) for the SHRM-CPSM or SHRM-SCPSM. For more information about certification or recertification, please visit www.shrmcertification.org.