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Record W1984931626 · doi:10.5539/ass.v10n22p1

The Role of Supply Chain Management on Organized and Unorganized Grocery Retailers-A Review on Indian Perspective

2014· article· en· W1984931626 on OpenAlexvenueno aff
J. Naga Venkata Raghuram, P. Ravilochanan

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessSupply chainPurchasingContext (archaeology)MarketingProduct (mathematics)Supply chain managementVariety (cybernetics)Industrial organizationCommerceComputer science

Abstract

fetched live from OpenAlex

The retail industry in India is slowly taking a new shape and structure. The dominant unorganized retailing started losing its stand in the market and the organized sector is taking its importance in the industry. The organized retailers have changed the perceptions of the consumers and chased out the consumer from the unorganized retailers.What the customers look for from today’s retailers is ambience, price, variety, assortments and merchandise which are addressed meticulously by the organized retailers. With a change in the purchasing power, tastes and preferences of the Indian retail consumer, read availability of product with the retailer is playing a major role in the sustainability of the retailers. In this context supply chain management (SCM) plays a vital role. The mechanism which helps in decreasing the waste, decreasing the inventory, decreasing the transportation cost, finally giving, the consumer an affordable price and improving the performance of the retailer is what is called as Supply Chain Management. This article emphasis on the role of SCM in the organized and unorganized Indian retail and the roles of various factors like information flow, inventory management, sourcing, transportation, warehousing, reverse logistics, demand forecasting and supply chain execution as key drivers for an efficient supply chain management.

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)0.002
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 score0.977
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.008
GPT teacher head0.234
Teacher spread0.226 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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