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Record W2018400424 · doi:10.4018/jebr.2007040102

The Impact of E-CRM on Organisational and Individual Behavior

2007· article· en· W2018400424 on OpenAlexaffabout
Soumaya Ben Letaïfa, Jean Perrien

Bibliographic record

VenueInternational Journal of E-Business Research · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCustomer relationship managementBusinessLeverage (statistics)CoachingTransactional leadershipKnowledge managementCustomer orientationOrganizational cultureMarketingManagementComputer science

Abstract

fetched live from OpenAlex

This article examines how electronic customer relationship management (e-CRM) has affected both organizational and individual behavior in a leading Canadian bank. The innovative and customer-driven culture of this bank pushed it toward early adoption of e-CRM technology. The findings emphasize the role played by many strategic and organizational dimensions in the success of e-CRM implementation. In fact, to make e-CRM efforts pay off, new business pro-cesses are required to achieve more effective and closer interactions with customers. The shift toward customer orientation needs to be supported by a shift in organizational objectives and processes. The results indicate that employees’ individual behavior successfully changed from a transactional to a relational perspective and that training and coaching ensured a successful integration of e-CRM technology. Nevertheless, the employee reward and evaluation system, which should have been changed to leverage CRM impact, has surprisingly been forgotten. This deficiency is addressed by proposing a new framework for enhancing e-CRM effectiveness.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.302
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.122
GPT teacher head0.423
Teacher spread0.301 · 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

Citations17
Published2007
Admission routes2
Has abstractyes

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