Motivations to Resolve Communication Dilemmas in Database-Mediated Collaboration

Abstract

In organizational settings, a communication dilemma exists whenever the interests of a collective (i.e., team, organization, interorganizational alliance) demand that people share privately held information, but their individual interests instead motivate them to withhold it. This article develops and tests an expectancy model that predicts specific conditions under which collective benefits can be made to converge with private ones, thus resolving communication dilemmas and motivating voluntary contributions to a collectively shared database. In the model, motivation is a multiplicative function of individual-level attitudes and beliefs: (1) organizational commitment; (2)organizational instrumentality, an instrumentality that links successful collective information sharing to broader organizational gain; (3) connective efficacy, an expectation that information contributed to the database will reach other members of the collective; and (4) information self-efficacy, the self-perceived value of a contributor's information to other database users. The model was tested by a survey administered to members of an intact work team using a discretionary database. The multiplicative model was significant and explained sizeable amounts of variance in the motivation to contribute discretionary information. Implications for theory and practice are discussed. The model can be readily extended to predict information sharing by means of other communication media.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2002
Accession Number
ADA459562

Entities

People

  • Janet Fulk
  • Michael E. Kalman
  • Peter Monge
  • Rebecca Heino

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Contract Administration
  • Contracts
  • Databases
  • Governments
  • Information Exchange
  • Knowledge Management
  • Motivation
  • Organizational Structure
  • Political Science
  • Security
  • Social Sciences
  • Standards
  • Teamwork
  • United States
  • United States Government

Fields of Study

  • Psychology

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • International Relations and European Studies
  • Organizational Psychology.