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Record W2051244957 · doi:10.1108/01443570910945800

Aligning competitive priorities in the supply chain: the role of interactions with suppliers

2009· article· en· W2051244957 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Operations & Production Management · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsSupply chainBusinessLeverage (statistics)Supply chain managementIndustrial organizationCompetitive advantageStrategic sourcingLinkage (software)Flexibility (engineering)Competition (biology)Empirical researchMarketingService managementProcess managementStrategic planningComputer scienceEconomicsStrategic financial management

Abstract

fetched live from OpenAlex

Purpose Over the last decade, competition in the manufacturing sector has increased as globalization and customer requirements have evolved. Now, organizations are competing not only with their internal capabilities but also on their abilities to leverage capabilities in the supply chain. Recent studies suggest that strategic alignment in the supply chain, assessed by the degree of matching between supply management and market requirements, is critical for the success of organizations in the global marketplace. The purpose of this paper is to examine the possible linkage between strategic alignment (or lack of) in the supply chain, based on the traditional competitive priorities (i.e. cost, quality, flexibility and delivery), and the type of interactions with suppliers. Design/methodology/approach Strategic alignment in the supply chain was measured by the difference between customer's requirements and the emphasis that the organization puts on these same requirements in dealing with its suppliers. The types of interactions were assessed by six items, three of them to measure the degree of arm's length practices and the other three to assess the degree of cooperation with suppliers. The empirical analysis used data from 512 manufacturing companies in Canada surveyed in 2003 and 2005. Linear regressions were conducted to test a series of four hypotheses linking alignment in the supply chain and the type of interactions with suppliers. Findings Interactions with suppliers that are increasingly based on cooperation were found to be linked with a better alignment of competitive priorities that are characteristic of responsive supply chains. An unexpected result was the positive link between arm's length interactions and delivery, a dimension that is also associated with responsive supply chains. Research limitations/implications The choice of interactions with suppliers can be critical in the alignment of competitive priorities in the supply chain. A limitation is that the empirical analysis rests on data collected from one respondent per organization. Originality/value This paper contributes to research by providing empirical evidence of the link between the type of interactions with suppliers and the alignment of competitive priorities in the supply chain.

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)0.001
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 score0.897
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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