INCLUDING SOFT INFORMATION IN EIS_s

Abstract

Although much of executive decision making is based on soft information—opinions, predictions, news, and even rumors—executive information systems (EISs) have only recently begun to augment factual data with such information. A study of current use of soft information in EISs yields 15 propositions designed to help EIS developers determine what kinds of soft information are most valuable and how best to capture and deliver this information.

Additional information

Notes on contributors

Hugh J. Watson

HUGH J. WATSON is the C. Herman and Mary Virginia Terry Chair of Business Administration in the Terry College of Business at the University of Georgia in Athens.

Margaret T. O‘Hara

MARGARET T. O‘HARA is assistant professor of CIS at Central Missouri State University in Warrensburg.

Candice G. Harp

CANDICE G. HARP is an Atlanta–based human resources consultant specializing in IS.

Gigi G. Kelly

GIGI G. KELLY is visiting professor of MIS at the College of William and Mary in Williamsburg VA.