Understanding Innovation Adoption in the Air Force

Abstract

Innovation adoption has become a critical issue for organizations in both the public and private sectors. The search for competitive advantage has led to the recognition that innovation is a vital ingredient for an organization's survival and profitability in this information age. The United States Air Force is seeking to adapt to this new information age by transforming its business processes in order to sustain its competitive advantage as the world's most respected air force. Adopting innovations and integrating new or improved technologies, capabilities, concepts, and processes into Air Force planning and acquisition activities, organizations, and operations are goals of Air Force Transformation. Customer Relationship Management is one such innovation that organizations are pursuing to capture competitive advantage. CRM adoption and implementation successes and failures have been well-documented; however, organizational innovation adoption studies and CRM adoption studies in the United States Air Force-within the context of Innovation Diffusion Theory-could not be found. This research attempts to bridge this gap in the literature. Three innovation characteristics from Diffusion of Innovation Theory and three organizational characteristics, which were found to be significant antecedents to innovation adoption in prior studies, were used to develop innovation adoption hypotheses. These hypotheses were then tested using correlation analysis and multiple regression analysis. This research seeks to aid in increasing the understanding of the influences on CRM process innovation adoption within an Air Force organization.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2006
Accession Number
ADA445181

Entities

People

  • Morgan J. Evans

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Business Administration
  • Commerce
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Information Systems
  • Operations Management
  • Personnel Management
  • Regression Analysis
  • Statistics
  • Surveys
  • United States

Fields of Study

  • Business

Readers

  • Organizational Process Management (OPM).