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Record W2007949387 · doi:10.4236/ti.2013.42009

Case Study on the Lean Six Sigma Management for Information Technology Service Management Project of G Commercial Bank

2013· article· en· W2007949387 on OpenAlexvenueno aff
Yongmei Xu, Fan Zhang, Xiaowen Ye

Bibliographic record

VenueTechnology and Investment · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial management for IT servicesDMAICInformation Technology Infrastructure LibrarySix SigmaProcess managementLean Six SigmaLean manufacturingInformation technologyBusinessComputer scienceDesign for Six SigmaProcess (computing)Knowledge managementMarketing

Abstract

fetched live from OpenAlex

Based on the literature review which concludes the Lean Six Sigma management theory, Information Technology Infrastructure Library (ITIL) and the key success factors of Information Technology service management (ITSM), this paper analyzes the present situation of information system in G bank and also the challenge it is facing. Furthermore, this paper puts forward a process optimization scheme for the production changes of G bank’s ITSM with the Lean Six Sigma management theory. What’s more, the paper dissects the production changes of G bank’s ITSM by means of DMAIC method in order to achieve these four goals: Firstly, optimizing the process and improving the internal work efficiency also. Secondly, reducing the variation and the error rate and also improving the system availability. Thirdly, strengthen the business interaction in order that the IT value could be reflected preferably. The last but not least, cutting the overtime is to improve employee satisfaction. But improving the ITSM of the banking industry is our ultimate aim.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.062
GPT teacher head0.282
Teacher spread0.220 · 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 designTheoretical or conceptual
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

Citations2
Published2013
Admission routes1
Has abstractyes

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