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Record W4297901106 · doi:10.1177/23949643221118152

A Theory of Marketing’s Contribution to Customers’ Perceived Value

2022· article· en· W4297901106 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 Creating Value · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMarketingRelationship marketingMarketing managementValue (mathematics)Return on marketing investmentMarketing researchBusinessMarketing strategyBusiness valueMarketing mixCustomer lifetime valueValue propositionMarketing scienceEconomicsCustomer retentionMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

The way customers perceive value is fundamental to business survival and success and is central to marketing theory and practice. Perceived value as an overarching concept describes the contribution of marketing as a key driver in a firm’s success. Though perceived value has gained the attention of academics and practitioners in recent years, the conceptual roots have diverged in different directions. This article synthesizes the concept of customers’ perceive value and presents a theory of marketing’s role in it. This study develops a new theoretical framework of how marketing drives perceived value of customers by reducing and eliminating marketplace imperfections that are always present in oligopolistic markets. This study develops a new theoretical framework of how marketing drives perceived value of customers. We first consider the constituents of customer value—the types of costs and benefits that determine customer’s utility from a purchase, and how marketing can influence these costs and benefits. We then draw upon economics and marketing theories to argue that irrespective of the conceptual lens one adopts, marketing’s primary function is to contribute to perceived value for firms’ customers, which in turn allows marketing to capture value. This article presents four distinct propositions, which articulate how marketing creates value for customers by reducing different types of marketplace imperfections. This article contributes to theory buildings in marketing literature. Laying out theoretical arguments to establish the existence of a marketing-value relationship is critical to validate the relevance and importance of marketing within the firm. The propositions presented in this article can be further used to investigate marketing challenges and questions. From a managerial perspective, it is critical to understand the role of the marketing function in influencing customer value as well. Improved empirical understanding of marketing’s role will enable CEOs to better leverage their firms’ marketing to achieve strategic priorities. Furthermore, by identifying specific marketing activities that create value for customer in different circumstances, managers can more effectively build and leverage their marketing and allocate resources more judiciously. This article synthesizes key developments in the area of customers’ perceived value and presents four novel propositions on marketing’s role in creating customer value.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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)0.0010.000

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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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