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Communities of Practice versus Organizational Climate: Which One Matters More to Dispersed Collaboration in the Front End of Innovation?<sup>*</sup>

2011· article· en· W2135693950 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Product Innovation Management · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTacit knowledgeKnowledge managementBusinessKnowledge sharingFront officeClosenessFront (military)Organizational learningKnowledge transferCompetitive advantageMarketingComputer science

Abstract

fetched live from OpenAlex

Dispersed collaboration provides many benefits such as members' closeness to local cultures and markets and reachability of talent worldwide. Hence, it is no surprise that dispersed collaboration is frequently being used by product development teams. A necessary but not sufficient condition for innovation performance is the sharing of tacit, non‐codified and explicit, codified knowledge by the team. Situated learning theory, however, predicts that tacit knowledge sharing will be largely prevented by “decontextualization.” Therefore, increasing usage of dispersed collaboration will decrease levels of tacit knowledge—crucial to innovation and organizational performance—in the business unit. This research investigates the moderating role of mechanisms believed to enable tacit knowledge transfer in the front end of innovation. Using data from 116 business units, the moderating role of communities of practice and organizational climate on the relationship between the proficiency of dispersed collaboration and front end of innovation performance is investigated. Encouragement of communities of practice is found to moderate the relationship between proficiency of dispersed collaboration and front end of innovation performance on the business unit level. More specifically, proficiency of dispersed collaboration is not related at all to front end of innovation performance in business units with low support for communities of practice; but a positive relationship exists in business units with high support for communities of practice. This study does not provide support for the moderating effect of organizational climate on the relationship between proficiency in dispersed collaboration and front end of innovation performance. However, supportiveness of climate has a significant direct effect on front end of innovation performance. The findings of this study suggest that managers should simultaneously invest in increasing proficiency in dispersed collaboration and supporting communities of practice. Either one by itself is insufficient. Because of its significant direct effect, managers should also nurture an open climate favoring risk taking, trust, and open interaction.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.962
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.012
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.281
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it