MétaCan
Menu
Back to cohort
Record W2037178929 · doi:10.1108/14715201111147969

The impact of product management on SME firm performance

2011· article· en· W2037178929 on OpenAlexaffabout
David C. Roach

Bibliographic record

VenueJournal of Research in Marketing and Entrepreneurship · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSample (material)Market orientationOriginalityBusinessStructural equation modelingBoundary spanningIndustrial organizationProduct (mathematics)Set (abstract data type)MarketingValue (mathematics)Knowledge managementComputer scienceMathematics

Abstract

fetched live from OpenAlex

Purpose This study seeks to address a gap in the literature by investigating product management (PM) as a set of firm‐level activities, distinct from the behaviours embedded within the market orientation (MO) construct. This research establishes PM as a set of organizational activities, which lie at the boundary between the traditional functions of the firm. Design/methodology/approach A model is proposed and tested using a heterogeneous sample of 316 Canadian small and medium‐sized enterprises, where PM mediates the relationship between MO and firm performance. Data were analyzed using a partial least squares, structural equation model. Findings PM behaviour is found to fully mediate the MO – firm performance relationship. Two of the three PM constructs, namely channel analysis/support and market/technical integration account for this effect. Research limitations/implications These results support the PM literature, which infers that more emphasis on external boundary spanning activities and internal coordination should positively influence firm performance. Limitations include the heterogeneous nature of the sample, time frame and geographic bias. Practical implications Managerial implications include the establishment of an empirical link between PM practices and how firms ultimately perform. This could assist practitioners in enhancing coordination activities between the marketing and technological factions within the organization. Originality/value This research establishes PM as a set of activities, which lie at the boundary between the traditional functions of the firm. These activities are found to fully mediate the MO – firm performance relationship and introduce the hereto untested link between PM and firm performance.

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.

How this classification was reachedexpand

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)0.012
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.101
GPT teacher head0.334
Teacher spread0.233 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Research in Marketing and EntrepreneurshipSame topicInnovation and Knowledge ManagementFrench-language works237,207