In Chapter 7, the focus was on the problem-centric model of diagnosis. We noted that the problem-centric model is based on a conscious effort to identify symptoms and causes. It takes into account the relevance of the open system perspective as a starting point for the conduct of diagnosis. A problem-centric model aims to resolve a specific problem, is based on data-gathering, and is guided by the premise that there is one reality, and that this reality is that of an organization as an open system. In this chapter, we present another model of conducting diagnosis, one that is inspired by dialogue and the role of appreciative inquiry (AI) (Cooperrider and Srivastva, 1987). Importantly, AI does not adhere to the key assumption associated with the problem- centric model of diagnosis. AI overcomes the centrality of symptoms and problems by approaching diagnosis on the basis of social construction and the involvement of individuals in the conduct of the diagnostic effort. It moves away from being the ‘fixer’ to being an ‘architect’. Hence, it often requires a shift in one’s willingness to see change from a completely different angle. In Chapter 7, we started by contrasting the problem-centric with the dialogic model. We used the everyday question ‘Is the glass half-full or half-empty?’ to draw a contrast between the two models and to indicate that a particular change situation could be a cause for optimism (glass half-full) or pessimism (glass halfempty).
Swipe to navigate through the chapters of this book
Please log in to get access to this content
To get access to this content you need the following product:
- The Dialogic Model of Diagnosing Change
- Macmillan Education UK
- Sequence number
- Chapter number