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Record W1969287165 · doi:10.1108/09604520010336669

Service quality in consulting: what is engagement success?

2000· article· en· W1969287165 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueManaging Service Quality · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Downsizing and Restructuring
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBusinessReputationInformation technology consultingMarketingRevenueService (business)Customer engagementQuality (philosophy)Exploratory researchService qualityPublic relationsServices marketingSociologyComputer scienceAccountingInformation system

Abstract

fetched live from OpenAlex

There are various views about the nature of service quality in a consulting engagement. This paper utilises literature from a number of disciplines, along with exploratory interviews with seven consultants and one client, to address one question, namely, “What is engagement success in consulting, from both the client and consultant points of view?”. In addressing this question, the paper considers distinctions between types of consulting, client expectations and needs, and short‐ and long‐term revenue streams. It concludes by suggesting that a consulting engagement is successful if the consultant has met client expectations (by improving one or more of client performance, client capabilities, or organisational culture, without making any category worse) – whether or not a core need has been addressed – and the consultant has enhanced his/her reputation, with expectations of future revenue streams – whether or not any immediate income has been received.

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.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.293
Teacher spread0.256 · 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