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Record W2050394446 · doi:10.1108/17410390610658487

Implementation and management framework for supply chain flexibility

2006· article· en· W2050394446 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 Enterprise Information Management · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsSt. Francis Xavier UniversityCarleton University
Fundersnot available
KeywordsSupply chainFlexibility (engineering)Supply chain managementProcess managementConceptual frameworkSupply chain risk managementService managementEmpirical researchRisk analysis (engineering)BusinessKnowledge managementComputer scienceMarketingEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this research is to develop a conceptual framework for implementing and managing supply chain flexibility in supply chain organizations. The framework suggests that supply chain flexibility should be implemented and managed using a three‐stage approach: required flexibility identification, implementation and shared responsibility, and feedback and control. Design/methodology/approach The major components of the proposed framework are based on a review of research in the manufacturing flexibility literature as well as the limited research in supply chain flexibility. The strengths and weaknesses of these frameworks, combined with a published empirical study were analyzed to identify the important issues that must be considered when implementing and managing supply chain flexibility, and those components that need to be incorporated into a new integrated framework. Findings This framework was constructed by synthesizing the strengths of other conceptual frameworks. As a result, the major components of the framework are supported by the current research on the implementation and management of manufacturing flexibility, as well as the current literature on supply chain management. Research limitations/implications Empirical research is needed to examine the nature and level of responsibility sharing among different supply chain partners as suggested in this framework. It is also important to empirically investigate what constitutes flexibility in the supply chain taxonomy in various industries. Another issue of managerial interest concerns the way different supply chain flexibility types relate to one another, and whether supply chain organizations should acquire certain supply chain flexibilities as a pre‐requisite for developing others. Further studies are necessary to further explain the contribution made by key enablers, such as information technology and communication, the internet, process technology, and training and labor skills, towards the acquisition of supply chain flexibility. Practical implications The implication of this new conceptual framework for managers is that it is easy to understand and is based on best practices in the research literature on manufacturing flexibility and supply chain management. Originality/value To researchers, this framework provides a springboard for conducting exploratory and confirmatory research on the process of implementing and managing supply chain flexibility.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.004
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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