A qualitative approach to exploring adaptive re-use processes

Abstract

Purpose The paper aims to report on the development of a process mapping approach to explore adaptive re-use processes. Design/methodology/approach Four case studies of adaptive re-use projects in London (UK) were conducted. Two are reported here. Data were collected through in-depth interviews with keyagents and archival research on planning case documentation. Archival research was also used to triangulate interview data, which was analysed by using NUDIST (now QSR N6) and Decision Explorere (DE). Data analysis entailed coding in NUDIST, and map building and analysis in DE. Findings The key common areas between different projects, and networked pivotal activities and issues are identified. A powerful tool for visualising project complexity, and hence for project assessment and evaluation, is provided. Research limitations/implications Statistical tools could have complemented the post-analysis verification discussions with the interviewees to ensure validity of the findings. Data processing and data export/import between software tools are extremely labour intensive and time consuming. Automated visual output is relatively poor for presentation purposes. Tacit researcher bias may be inherent. Practical implications The findings provide a basis for developing specific management strategies for complex re-use projects. This novel approach could be developed into a tool for: post-project reviews, strategic learning for experienced practitioners, educating and training academics and novice practitioners, and for managing project knowledge. Originality/value The creative use of NUDIST and DE in combination is novel. Experienced practitioners will be presented with a powerful tool for visualising project complexity, and thus for monitoring and reviewing the levels of complexity at each stage, once further development, automation and sophistication are achieved. The critical aspects of adaptive re-use process, the key activities and issues are pointed out for novice practitioners. Researchers will find the adoption of content analysis and cognitive mapping tools to process mapping innovative.

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