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Record W2274804867

THE STRATEGIC MARKETING FUNCTION IN DYNAMIC MARKETS

2015· article· en· W2274804867 on OpenAlexaff
Tamás Koplyay, Doug Lloyd, Abdelkader Jazouli, B. R. Mitchell

Bibliographic record

VenuePolish Journal of Management Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsMarketingBusinessMarketing managementMarketing strategyReturn on marketing investmentMarketing researchIndustrial organization
DOInot available

Abstract

fetched live from OpenAlex

Marketing has a glamorous role in the business world. It is at the forefront of the firm-market interaction, it represents the best compensated activity in an organization. Marketing assumes a leadership role in the firm and sets the tone of the strategic plans. The approach and strategies seen in marketing throughout the market lifecycle are influenced by factors and players, which significantly curtail its role and circumscribe its influence. This article examines the evolution, along the market lifecycle, of marketing’s role and spheres of influence, and proposes two predictive mechanisms that allow for the estimation of “tipping points” for the different characteristics that define the marketing profile along the lifecycle. We introduce the big bang model of market dynamics and examine the behavior of the marketing function depending where the firm is relative to sink holes, transient and steady states and how the market is pulsing defines the marketing priorities. The article further identifies the factors circumscribing the functions and freedoms of marketing along the lifecycle in hi-tech, to develop a clear picture of the various roles that marketing plays as the firm proceeds along the lifecycle from incubation to market maturity.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.674
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.062
GPT teacher head0.346
Teacher spread0.284 · 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 designQualitative
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

Citations3
Published2015
Admission routes1
Has abstractyes

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