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Record W75427488

Analyzing Enterprise Systems Delivery Modes for Small and Medium Enterprises

2010· article· en· W75427488 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

VenueJournal of the Association for Information Systems · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicERP Systems Implementation and Impact
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSoftware as a serviceEnterprise systemEnterprise softwareEnterprise information systemSmall and medium-sized enterprisesProcess managementEnterprise integrationEnterprise systems engineeringEnterprise life cycleComputer scienceKnowledge managementBusinessSoftwareSoftware developmentEnterprise architectureOperating system
DOInot available

Abstract

fetched live from OpenAlex

Prior studies have suggested that Small and Medium Enterprises (SMEs) have unique characteristics that impact their ability to successfully implement enterprise systems. This paper analyzes three modes of delivery for enterprise systems: integrated ERP, Best of Breed (BoB), and Software as a Service (SaaS), and determines how well these delivery modes are aligned with the requirements of SMEs. An analysis of prior research on enterprise systems and SMEs suggests the integrated ERP approach may yield several additional benefits compared to the BoB and SaaS approaches for SMEs. The analysis framework presented can be used to guide the selection of appropriate enterprise systems delivery mechanisms for SMEs and ultimately help improve their 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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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