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Record W1495259721 · doi:10.1108/josm-02-2014-0060

The role of coordinated marketing-operations strategy in services

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

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 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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.009
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