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Record W2112475386 · doi:10.5430/jms.v5n4p46

Assessing the Success of ICT’s from a User Perspective: Case Study of Coffee Research Foundation, Kenya

2014· article· en· W2112475386 on OpenAlex
Michael Wambwere Makokha, Daniel Orwa Ochieng

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Management and Strategy · 2014
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)Perspective (graphical)Information and Communications TechnologyKnowledge managementSociologyEngineeringComputer scienceGeographyWorld Wide WebArtificial intelligenceArchaeology

Abstract

fetched live from OpenAlex

The study was conducted to validate the application of DeLone & McLean’s Information System (IS) success model (2003) in a local setup in Kenya and to evaluate the success of an enterprise resource planning (ERP) system from a user perspective. It was carried out at Coffee Research Foundation (CRF) in Kenya. A number of past studies to measure the success of information systems in different settings were reviewed leading to the choice and use of the updated DeLone & McLean IS success model in this study. The research involved the use of questionnaires as well as interviews and focus group discussion (FGD). A number of hypotheses were formulated and tested and the results indicated that the updated DeLone & McLean’s IS success model was valid as a useful model for this particular study. The study also indicated that the variables system quality, information quality, and service quality stood out as critical determinants of how information and communication technology systems can be used to improve organizational performance.

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)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.266
GPT teacher head0.507
Teacher spread0.241 · 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