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Record W2008468188 · doi:10.1108/02652320010359543

Effectiveness of Relational and Transactional cultures in commercial banking: putting client‐value into the competing values model

2000· article· en· W2008468188 on OpenAlexaff
Michèle Paulin, R. James Ferguson, Marielle Audrey Payaud

Bibliographic record

VenueInternational Journal of Bank Marketing · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsConcordia University
Fundersnot available
KeywordsTransactional leadershipBusinessValue (mathematics)Context (archaeology)Organizational cultureMarketingTransactional analysisCustomer relationship managementIndustrial organizationManagementEconomicsComputer sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

This paper has four purposes. First, it points out and explains why the Market‐type culture, is not the culture type most conducive to business performance. This Market‐type culture reflects mainly a Transactional approach to the market rather than a longer term Relational approach to clients. Second, a modification of the CVM is presented which forces the respondents to weigh the value their firm places on the client or customer compared with the other competing values in the model. This modified version can be used to describe organizational cultures which are more Relational or Transactional in nature. Third, an empirical study of commercial banking relationships in France indicated that business effectiveness was greater when both parties in the exchange (account manager and business client) perceived their respective organizations to be Relational‐type cultures. Conversely, the worst business performance was found when both organizations had Transactional‐type cultures. Fourth, the managerial implications of the paper are discussed in the context of commercial banking.

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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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 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

Citations40
Published2000
Admission routes1
Has abstractyes

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