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". . . AI starts from the positive perspective. Rather than looking at what is wrong, it looks at what it right in the organization. It is the discovery of the best in people, their organizations, and the world around them. It is the art and practice of asking the unconditional positive questions that strength then a system’s capacity to apprehend, anticipate, and heighten positive potential.
AI is an approach to organizational analysis and learning that is intended for discovering, understanding, and fostering innovations in social organizational arrangements and processes. In this context, AI refers to two things:
• A search for knowledge; and,
• A theory of collective action designed to evolve the vision and will of a group, an organization, or society as a whole."
--Edwin C. Thomas
Appreciative Inquiry: Text
Appreciative Inquiry: Essays
Appreciative Inquiry: A Positive Approach to Change
"Appreciative inquiry (AI) is a positive way to embrace organizational change based on a simple assumption:
Every organization has something that works right—things that give life when it most alive, effective, successful, and connected in healthy ways to its stakeholders and communities. AI begins by identifying what is positive and connecting to it in ways that heighten energy and vision for change."
--Edwin C. Thomas
Promoting and Assessing Value Creation in Communities and Networks: a Conceptual Framework
"This document presents a conceptual foundation for promoting and assessing value creation in communities and networks . . . The purpose of this conceptual framework is to provide a foundation that is useful across a range of endeavors, including research and practice."
--Etienne Wenger, Beverly Trayner, Maarten de Laat
Appreciative Inquiry: A Tool for Organizational, Programmatic, and Project-Focused Change
"This practice paper describes how leadership education faculty and students at Virginia Tech have facilitated change through the use of appreciative inquiry (Ai) at the departmental level, program level, and project level."
--Kerry L. Priest, Eric K. Kaufman, Kelsey Brunton, Megan Seibel