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Record W2104022334 · doi:10.1111/jpim.12009

How Formal Control Influences Decision‐Making Clarity and Innovation Performance

2013· article· en· W2104022334 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 · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCLARITYControl (management)BusinessProcess managementKnowledge managementComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Implementing formal planning instruments such as the stage‐and‐gate‐type system ( SGS ) and project management ( PM ) have long been seen as the key to new product development ( NPD ) success. They create the structure needed for managing NPD activities, supporting coordination among functional groups, reducing uncertainty and error, and assuring time and cost efficiency. But recent research presents ambiguous results, suggesting that SGS and PM as formal controls can also have a negative effect. Integrating ideas from three literatures—i.e., NPD management, organization control theory, and technical control theory—the present study assesses NPD programs in terms of three perspectives: (1) the formal control mechanisms used for managing NPD programs—specifically SGS , which is mainly seen as a higher organizational level approach used for guiding and implementing a portfolio of NPD projects, and PM , which is a precise formal control mechanism relevant for managing specific problems at a single project level; (2) the immediate outcome of the application of formal controls, i.e. decision‐making clarity ( DMC ); and (3) degree of NPD innovativeness, a key contingency hypothesized to impact the efficacy of formal controls. For the empirical analysis, data are collected through a survey of 162 corporate NPD programs ( A ustria and D enmark, manufactured goods and services) where a total of 1274 respondents provide information relevant to their position. Hierarchical regression analysis is used to test the relationships. Results indicate that the performance effect of NPD formal control is fully mediated by DMC . Further, of the six hypothesized outcome relationships, four are fully supported. Both SGS and PM are effective systems for managing NPD when degree of innovativeness is not taken into account. PM , however, loses its efficacy at higher degrees of NPD program innovativeness while SGS continues to work at achieving positive DMC at the radical end of the innovativeness spectrum. Analysis of interaction effects indicates that for more innovative NPD programs, best results are achieved when companies implement an interactive system of both SGS and PM , where the two systems complement each other.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0000.000
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 head0.021
GPT teacher head0.250
Teacher spread0.228 · 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