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Record W2135331748 · doi:10.1509/jmkg.75.3.83

Process and Outcome Interdependency in Frontline Service Encounters

2011· article· en· W2135331748 on OpenAlexaff
Zhenfeng Ma, Laurette Dubé

Bibliographic record

VenueJournal of Marketing · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsMcGill UniversityOntario Tech University
Fundersnot available
KeywordsInterdependenceOutcome (game theory)Complementarity (molecular biology)Interpersonal communicationSocial psychologyService (business)PsychologyInterpersonal relationshipProcess (computing)Service providerBusinessMarketingComputer scienceMicroeconomicsSociologyEconomics

Abstract

fetched live from OpenAlex

Although marketing researchers have emphasized the interactive nature of service encounters, there has been scant research regarding how dyadic behaviors in a service encounter are interrelated. The authors recognize two distinct forms of dyadic interdependency: process interdependency, in which each party's enactment of behavior influences the other's enactment of behavior, and outcome interdependency, in which the impact of each party's behavior on service outcome depends on the other party's behavior. Using the interpersonal circumplex model and its related concept of complementarity, the authors examine both forms of dyadic interdependency by directly observing provider–client interpersonal behaviors in a natural frontline service setting over an extended period. The findings on process interdependency indicate that dyadic behaviors elicit or inhibit each other largely in a complementary manner. The findings on outcome interdependency show that, in general, complementary interactions between the provider and client enhance the client's satisfaction, whereas anticomplementary interactions dampen the client's satisfaction.

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)0.004
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.269
Teacher spread0.231 · 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 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

Citations87
Published2011
Admission routes1
Has abstractyes

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