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Record W2038118766 · doi:10.1108/14502191111151287

Assessing and measuring sales culture within commercial banks in Jordan

2011· article· en· W2038118766 on OpenAlexaff
Naji D. Mualla

Bibliographic record

VenueEuroMed Journal of Business · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsMarketingOriginalityBusinessSample (material)Sales managementOrganizational cultureFeelingValue (mathematics)Qualitative researchEconomicsManagementPsychology

Abstract

fetched live from OpenAlex

Purpose This study aims to assess and measure the sales culture within the commercial banks in Jordan, and to provide top management of these banks with the database which may be required for improving the banks' selling effectiveness. Design/methodology/approach The study has been conducted on a convenience sample of 1,000 employees selected from those of all the commercial banks operating in Jordan. Sales culture was measured by using the Sales Culture Index (SCI), consisting of 65 statements. The data required for this study were collected by a self‐structured questionnaire. Findings The findings of the study indicate that the overall employees' perception of sales culture in the surveyed banks is moderate. However, the sales culture in the non‐Jordanian banks was stronger than that in the Jordanian banks. Research limitations/implications As is the case in any study, some limitations relevant to this study cannot be abandoned. For instance, the findings of this study are based on self‐report perceptions of both the employees and the customers. Data collected by this approach may or may not be accurate to that extent, which reflects the respondents' real feelings. Practical implications The results of this study would enable management in the commercial banks in Jordan to design internal marketing programs aimed at building a strong service‐minded sales culture among employees. Originality/value This is a first attempt to assess and measure the sales culture in the commercial banks in Jordan.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.094
GPT teacher head0.265
Teacher spread0.171 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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