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Record W1833801072 · doi:10.1142/s1363919615500322

DETERMINANTS OF THE CUSTOMER'S PERCEPTION OF INNOVATIVENESS: AN INVESTIGATION IN EDUCATIONAL SERVICES

2015· article· en· W1833801072 on OpenAlexaff
Nha Nguyen, Gilles Marcoux, Izold Guihur

Bibliographic record

VenueInternational Journal of Innovation Management · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsBusinessInstitutionPerceptionService (business)Context (archaeology)MarketingCore (optical fiber)Service delivery frameworkCurriculumProcess (computing)Higher educationKnowledge managementEducational institutionPublic relationsPsychologyPedagogySociologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The purpose of this study is to identify informational elements used in customers' perceptions of a service organisation's innovativeness, specifically in the context of higher education. With data collected from 445 university students, the results show that the information is related to service offering and contact personnel. Essentially, it is possible to say that core service (curriculum) goes along with main staff responsible for providing core service (faculty members). These two inseparable elements exert a predominant effect on customers' perception of innovativeness. For a higher education institution, it is obvious that the key role of the training provided should be highlighted in the institution's strategy to influence or modify the decisions of various groups. Support staff responsible for providing peripheral services should not be neglected in this strategy because of their inherent role in the process of core service delivery. The limitations and research implications of the reported study are also discussed.

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)0.002
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 score0.085
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.045
GPT teacher head0.318
Teacher spread0.273 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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