Living Lab as knowledge system: an actual approach for managing urban service projects?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – This paper aims to explore Living Labs (LL) as knowledge systems for urban service projects. This empirical study aims to identify and characterize knowledge in LL dedicated to urban service projects. It also aims to understand how through knowledge path, LL redefine the management of projects. First, the praxeologic and academic context underlining the main challenges associated to urban service projects is presented. It mainly concerns the growth of the cities (Haouès-Jouve, 2013), the problematic of social acceptability (Savard, 2013) as well as the normative approaches to manage projects (Kerzner, 2010). Second, a literature review on co-innovation and Livings Labs is presented. (Chesbrough, 2004; Gaglio, 2011). This paper also presents the concept of knowledge applied in an LL system (Sanders and Stappers, 2008). Here, knowledge refers to dynamic knowledge, as suggested by Argyris (1995). Design/methodology/approach – In the third part, the goals of this study as well as the abductive and “partnership” qualitative methodology that was used are explained (Fontan and René, 2014). The constitutive and the operational definitions on knowledge that have been mobilized are detailed (Piaget, 1974; Gadille, 2012). A special focus is made, here, on distributed knowledge (Nowotny et al. , 2002; Trepos, 1996), on “users” as “experts of uses” (Chen et al. , 2010). Then, the sample and the four cases of LL that were explored are described. Findings – Finally, the findings are presented. This paper exposed how knowledge lying in the loops of the LL system was characterized and how knowledge is mobilized in an LL. This paper also draws a theoretical model of project management referring to knowledge, LL and co-innovation approach. Research limitations/implications – To conclude, several implications in project management research and urban studies are presented. Practical implications – Several implications concern the current practices of project management. Due to some new societal challenges, it is considered that a new professional posture is required. Social implications – Several implications concern citizens as users and stakeholders of urban projects. Originality/value – The originality of the study lies in its content and its format. A specific participative approach was used to explore LL. This paper investigated knowledge in LL, which are new entities dedicated to very actual projects, where users are co-managers.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it