EnCompass Resources

Articles | August 2013
First Page of Article

"David Harris, the Director of the City of Dubuque’s Housing and Community Development Department, is a strong and committed leader who has been able to accomplish remarkable changes by forming collaborative partnerships that embrace Appreciative Inquiry (AI). This story presents a strong case for how an AI process has been sustained over time in local government through committed leadership and exceptional partnerships."

 

Articles | August 2013
Cover of Article

This forward-- by former EnCompass CEO Laverne Webb-- precedes a special edition of the academic journal AI Practitioner. The theme of the edition was applying Appreciative Inquiry into evaluation via case studies and assessments. 

You can purchase a full copy of this edition at this link to the AI Practitioner website.

Publication | October 2016
Cover page for Evaluating Our Way to Smarter Organizations

This paper advocates for the creation of an overall evaluation plan— or “evaluation system” — for all nonprofit organization programs. Such an evaluation plan would aim to build the capacity of nonprofit organizations implementing social programs by enabling them to learn from their experience, strengthen partnerships, and promote strategic thinking in their organizations.

Articles | August 2013
First Page of Article

This case study, published in Consulting Today, was written by EnCompass President Sherry Rockey and former EnCompass CEO Laverne Webb. The article illustrates the successful application of Appreciative Inquiry (AI) to aid the Dubuque, Iowa Housing and Community Development Department in mediating disputes about housing policies with landlords in that city.

Articles | August 2013
First Page of Article

As evaluators have increasingly experimented with integrating Appreciative Inquiry in evaluation, none has applied an appreciative evaluation methodology to study the impact of a full Appreciative Inquiry process in the context of an organization and community. This article presents what we believe to be the first contribution to the literature in both the AI and evaluation fields of just such an evaluation. It examines how elements of AI were successfully incorporated into an evaluation that assessed the results of an AI change process.

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