The DOI matches its Crossref record; 186 of the 186 references it cites were found in a registry or an index; 10 of the 50 sources its claims cite were checked for support.
Grocery omnichannel perishable inventories: performance measures and influencing factors
Open accessAbstract
Purpose Perishable inventory management for the grocery sector has become more challenging with extended omnichannel activities and emerging consumer expectations. This paper aims to identify and formalize key performance measures of omnichannel perishable inventory management (OCPI) and explore the influence of operational and market-related factors on these measures. Design/methodology/approach The inductive approach of this research synthesizes three performance measures (product waste, lost sales and freshness) and four influencing factors (channel effect, demand variability, product perishability and shelf life visibility) for OCPI, through industry investigation, expert interviews and a systematic literature review. Treating OCPI as a complex adaptive system and considering its transaction costs, this paper formalizes the OCPI performance measures and their influencing factors in two statements and four propositions, which are then tested through numerical analysis with simulation. Findings Product waste, lost sales and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability and channel effects. The OCPI sensitivity to those influencing factors is diverse, whereas those factors are found to moderate each other's effects. Practical implications To manage perishables more effectively, with less waste and lost sales for the business and fresher products for the consumer, omnichannel firms need to consider store and online channel requirements and strive to reduce demand variability, extend product shelf life and facilitate item-level shelf life visibility. While flexible logistics capacity and dynamic pricing can mitigate demand variability, the product shelf life extension needs modifications in product design, production, or storage conditions. OCPI executives can also increase the product shelf life visibility through advanced stock monitoring/tracking technologies (e.g. smart tags or more comprehensive barcodes), particularly for the online channel which demands fresher products. Originality/value This paper provides a novel theoretical view on perishables in omnichannel systems. It specifies the OCPI performance, beyond typical inventory policies for cost minimization, while discussing its sensitivity to operations and market factors.
Overview
Integrity signals
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Verification
Claims the paper makes
8 Valid · 4 Not valid · 32 Not checked · 111 Own results and interpretations
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“Moreover, in-store consumers may be pushed or encouraged to pick the less fresh items by the store, moving older items to the front and fresher ones to the back of the shelf, or employing dynamic pricing techniques (Formentini and Romano, 2016).”
§ Grocery omnichannel > International Journal of Operations and Production
What the sources say
- Could not verifycites Formentini and Romano, 2016 sourceExperimental — accuracy not yet measured
The Introduction and Extra-dyadic extension discuss collaborative B2B pricing and retailer involvement, but do not address how stores steer in-store consumers toward less-fresh items. Searches for dynamic pricing of less-fresh items and for older items being placed at the front of shelves found no passage addressing either practice; page numbers were unavailable in our copy. (LLM, conf=0.76)
hedgedstates a possible cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Omnichannel systems in particular focus on ensuring product availability for ALL channels (Cotarelo et al., 2021;Ortlinghaus and Zielke, 2019).”
§ Grocery omnichannel > International Journal of Operations and Production
What the sources say
- Partly supportedcites Cotarelo et al., 2021 sourceExperimental — accuracy not yet measured
The Introduction (p. 3) describes omnichannel retailing as integrating channels so customers can buy and return products through any channel. The paper also treats product availability as a logistics-service dimension (p. 2), but it does not say that omnichannel systems focus on ensuring product availability in every channel. (LLM, conf=0.83)
- Not checked — no full text of the sourcecites Ortlinghaus and Zielke, 2019 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Product waste, lost sales, and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability, and channel effects.”
§ Grocery omnichannel > Abstract
plainstates a cause- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Product waste, lost sales, and freshness are identified as distinctive OCPI performance measures, which are influenced by product perishability, shelf life visibility, demand variability, and channel effects.”
§ Grocery omnichannel > Abstract
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
In the paper
“Overall, despite its growing popularity, the omnichannel literature is scarce in regard to perishable products and inventories which have special characteristics with peculiar requirements and implications (as addressed below) for omnichannel systems (Hübner et al., 2019).”
§ Grocery omnichannel > 2. Underpinning literature
What the sources say
- Not checked — no full text of the sourcecites Hübner et al., 2019 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
74 more claims
Create a free account to see all 155 claims and every source verdict.
- Probably not a substantial claim. 38
- It may state two separate claims as one. 54
- The quote only partly states this claim. 1
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Grocery omnichannel > 3.4. Numerical analysis
“ANOVA is used to analyze the sensitivity of the results (impacts on waste and lost sales) to different levels of shelf life visibility, channel effect, demand effect, and product effects -in total, 52 experimental treatments are tested.”
§ Grocery omnichannel > 5.1. OCPI order fulfillment process simulation
“This process repeats for 54 scenarios, which are designed based on different levels of the OCPI influencing factors as follows:”
Citations
Cites
Recent trends in modeling of deteriorating inventory
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The scientific theory‐building process: a primer using the case of TQM
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Hübner, A. H., Kuhn, H., & Wollenburg, J. (2016) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-11-2014-0154 · Cited by 422
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Cited by
Taheri, S. G., Navabakhsh, M., Tohidi, H., & Mohammaditabar, D. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103784 · Cited by 23
Basu, B., Chakraborty, D., & Kar, A. K. (2024) · International Journal of Production Economics · doi:10.1016/j.ijpe.2024.109417 · Cited by 18
Barto, J., Eruguz, A. S., Spliet, R., & Wøhlk, S. (2024) · Omega · doi:10.1016/j.omega.2024.103131 · Cited by 14
Li, R. C., Chiu, A. S. F., & Seva, R. R. (2023) · Cleaner and Responsible Consumption · doi:10.1016/j.clrc.2023.100150 · Cited by 6
Hasiloglu-Ciftciler, M., & Kaya, O. (2025) · Computers & Industrial Engineering · doi:10.1016/j.cie.2025.111158 · Cited by 11
Metadata
- Authors
- Saghiri, S., Aktas, E., & Mohammadipour, M.
- Affiliations
- Cranfield University (GB)
- Middlesex University London (GB)
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2023-03-07
- Volume
- 43
- Issue
- 12
- Pages
- 1891-1919
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W4323319691
- Semantic Scholar
- 57c549f240297fbad1654d82444ccae5cffc4111
- Cited by
- 19
- References
- 78
- Citations by year
- 2026: 7 · 2025: 2 · 2024: 7 · 2023: 3
- FWCI
- 5.46
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.emerald.com/insight/site-policies (tdm)
- Locations
- International Journal of Operations & Production Management (publishedVersion)
- Middlesex University Research Repository (Middlesex University Of London) (acceptedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- CERES (Cranfield University) (submittedVersion, cc-by-nc)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Business Logistics and Inventory Control
- Keywords
- perishable inventory management, omnichannel retail, grocery retail, product waste, lost sales, product freshness, demand variability, channel effects, complex adaptive systems, transaction costs, dynamic pricing, online channels
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- CoChat. (2026). Citation check: Grocery omnichannel perishable inventories: performance measures and influencing factors. https://app.cochat.ai/papers/10.1108/ijopm-06-2022-0397
- The paper
- Saghiri, S., Aktas, E., & Mohammadipour, M. (2023). Grocery omnichannel perishable inventories: performance measures and influencing factors. International Journal of Operations & Production Management. https://doi.org/10.1108/ijopm-06-2022-0397
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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