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Record W3093848125 · doi:10.5267/j.ac.2020.9.016

Firm size and supply chain finance in Indian pharmaceutical industry: Relational firm analysis of size determinants and cash conversion cycle

2020· article· en· W3093848125 on OpenAlexvenueno aff
Anis Ali

Bibliographic record

VenueAccounting · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWorking Capital and Financial Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAccounts payableCash conversion cycleSupply chainAccounts receivableCashFinanceMarketingCash management

Abstract

fetched live from OpenAlex

The sales revenue, total resources, and Working Capital (WC) of the business organization measure the size of the firms. The Cash Conversion Cycle (CCC) defines the Supply Chain Finance (SCF) of the business organization and is affected by the size determinants of the firms. The components of the WC are considered to measure the CCC and define the status of the SCF of the business organization. The study is based on the secondary data obtained from the financial statements of the selected leading Indian pharmaceutical companies. The objective of the study is to find out the relation and degree of governance of size determinants on the SCF. The analysis is based on the ranks of size determinants and relative ranks of inventory days, accounts receivables days, and accounts payables days. The Spearman rank correlation is applied to get the qualitative relationship between the ranks of size determinants and ranks of components of CCC. The study reveals that size determinants affect the SCF positively but moderately while WC governs directly as WC comprises the components of CCC. The study suggests the shortening of the CCC by focusing on size determinants on WC and especially accounts payables in Indian pharmaceutical companies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.235
Teacher spread0.219 · 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 designObservational
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

Citations8
Published2020
Admission routes1
Has abstractyes

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