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Record W3159078732 · doi:10.1111/deci.12524

Retail inventory shrinkage, sensing weak security breach signals, and organizational structure

2021· article· en· W3159078732 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

VenueDecision Sciences · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain Resilience and Risk Management
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessShrinkageGuard (computer science)Competition (biology)MarketingComputer science

Abstract

fetched live from OpenAlex

Abstract Retail inventory shrinkage, resulting primarily from employee theft and shoplifting, costs retailers nearly $70 billion annually. With brick‐and‐mortar retailers today confronting increased competition and low future growth expectations, reducing inventory shrinkage is becoming even more critical to becoming profitable. This paper analyzes a unique dataset that combines both primary survey and objective archival data from a Fortune 500 retailer to test a theoretical model associating retail inventory shrinkage, the capacity of a retail store to sense weak security breach signals, centralization of decision making, and formalization of security breach management. The analysis builds on insights from high reliability organization theory and the literature on organizational structure. Results reveal that as a retail store increases its capacity to sense weak security breach signals, it observes decreases in store‐level inventory shrinkage, with this negative association amplified (dampened) when the retail store has formalized procedures and protocols for managing security breaches (has centralized decision making within the retail store). Moreover, while the establishment of formalized procedures and protocols for managing security breaches bolsters the capacity of a retail store to sense weak security breach signals, centralizing decision making has the opposite effect. Our findings contribute to the retail operations literature by introducing a new store‐level organizational capability to guard against theft‐based retail inventory shrinkage and by offering novel insights into how and why organizational structure at the level of a retail store deters or facilitates the capacity to sense weak security breach signals. From a practical perspective, these findings advise retailers to develop the capability to become aware of and to mitigate security breaches. Further, to support this capacity, retailers are urged to decentralize decision making to retail store personnel and to invest in formalizing procedures and protocols for managing security breaches in order to deter retail thefts that shrink retail store inventory.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.253
Teacher spread0.235 · 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