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The Fuzzy Front End of New Product Development for Discontinuous Innovations: A Theoretical Model

2004· article· en· W2125237007 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 · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsNew product developmentProcess (computing)Front and back endsFuzzy logicProduct (mathematics)DiscretionProcess managementComputer scienceBusinessFunction (biology)Knowledge managementMarketingBoundary (topology)MathematicsArtificial intelligence

Abstract

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The fuzzy front end of the new product development (NPD) process, the time and activity prior to an organization's first screen of a new product idea, is the root of success for firms involved with discontinuous new product innovation. Yet understanding the fuzzy front‐end process has been a challenge for academics and organizations alike. While approaches to handling the fuzzy front end have been suggested in the literature, these tend to be relevant largely for incremental new product situations where organizations are aware of and are involved in the NPD process from the project's beginning. For incremental new products, structured problems or opportunities typically are laid out at the organizational level and are directed to individuals for information gathering. In the case of discontinuous innovations, however, we propose that the process works in the opposite direction—that is, that the timing and likelihood of organizational‐level involvement is more likely to be at the discretion of individuals. Such individuals perform a boundary‐spanning function by identifying and by understanding emerging patterns in the environment, with little or no direction from the organization. Often, these same individuals also act as gatekeepers by deciding on the value to the organization of externally derived information, as well as whether such information will be shared. Consequently for discontinuous innovations, information search and related problems/opportunities are unstructured and are at the individual level during the fuzzy front end. As such, the direction of initial decisions about new environmental information tends to be inward, toward the corporate decision‐making level, rather than the other way around. In order to cope with the special and complex nature of decisions made at the fuzzy front end of NPD for discontinuous innovations, this process is detailed as a series of decisions occurring over three proposed interfaces: boundary, gatekeeping, and project. The difference between each interface lies in the nature of the decisions made: At the boundary and gatekeeping interfaces, the primary impetus is individual‐level decision‐making; at the project interface, decisions occur at the organizational level. By articulating these processes in the form of a model, we achieve two objectives: (1) We outline a more detailed and comprehensive approach to understanding the nature of the front‐end decision making process for discontinuous innovations; and (2) we detail specific propositions for future research on each stage of the process.

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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)0.003
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.028
GPT teacher head0.264
Teacher spread0.235 · 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