MétaCan
Menu
Back to cohort
Record W1495259721 · doi:10.1108/josm-02-2014-0060

The role of coordinated marketing-operations strategy in services

2014· article· en· W1495259721 on OpenAlexaff
Michael J. Dixon, Ekaterina V. Karniouchina, Bo van der Rhee, Rohit Verma, Liana Victorino

Bibliographic record

VenueJournal of service management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMarketingMarketing strategyBusinessService (business)Marketing researchMarketing managementOriginalityRelationship marketingArgument (complex analysis)Product (mathematics)Process managementQualitative research

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to discuss the importance of a coordinated marketing and operations strategy in goods and service producing business organizations. Customer engagement and co-production are imperative service delivery considerations, and therefore an aligned marketing and operations strategy is essential for the formulation, development, and effectiveness of managerial decisions especially for service sector firms. Design/methodology/approach – The authors present arguments in support of this paper's primary objectives by reviewing past research that have introduced theoretical frameworks, empirical support and applications in support of the close coordination between marketing and operations strategy. The paper then describes how the inter-relationship between marketing and operations strategy impacts several managerial decisions. Findings – The paper discusses several different types of managerial decisions within goods and service producing firms that require active interaction between marketing and operations. These decisions include aligning strategic priorities, new product development, service design, and experience design. Research limitations/implications – This paper is primarily theoretical and therefore does not include any new empirical data. Practical implications – The inter-relationship between the marketing and operations functions is well known to practicing managers. However, they may not have a specific understanding of the academic research described in this paper that shows how firm performance can be further improved by better managing these interactions for specific managerial decisions. Originality/value – This paper is theoretical and provides a comprehensive review of literature and a compelling argument for including marketing and operations strategy in the corporate executive suite. Therefore, this paper should be of interest to researchers and practitioners interested in the functional areas of marketing, operations, and strategy for service organizations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.005
Science and technology studies0.0040.011
Scholarly communication0.0220.010
Open science0.0010.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.009
GPT teacher head0.224
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations22
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of service managementSame topicCustomer Service Quality and LoyaltyFrench-language works237,207