Evidence map›Paper›PMID 40002019›Full record

ArticleFoods (Basel, Switzerland)2025

Exploring the Factors Influencing the Acceptance of IoT Applications in Food Packaging.

Konstantinos Rotsios, Dimitris Folinas, Chrysoula Mouchtari, Artemis Andreou, Thomas Fotiadis, Maria-Theodora Folina, Antonios Gasteratos

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Konstantinos RotsiosBusiness Division, American College of Thessaloniki, 54631 Thessaloniki, Greece.
Dimitris FolinasDepartment of Supply Chain Management, International Hellenic University, 60100 Katerini, Greece.
Chrysoula MouchtariDepartment of Production and Management Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.
Artemis AndreouDepartment of Production and Management Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.
Thomas FotiadisDepartment of Production and Management Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.
Maria-Theodora FolinaDepartment of Applied Informatics, University of Macedonia, 54631 Thessaloniki, Greece.
Antonios GasteratosDepartment of Production and Management Engineering, Democritus University of Thrace, 67100 Xanthi, Greece.ORCID 0000-0002-5421-0332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the transformative role of IoT in enhancing efficiency across the food value chain. It combines secondary and primary research to identify factors that influence IoT adoption in the food sector. A thematic-bibliometric analysis (2010-2024) highlights key themes related to IoT use in the industry, particularly in food packaging and supply chain optimization. The primary research, based on 162 questionnaires, examines factors influencing IoT adoption, such as perceived usefulness, ease of use, self-efficacy, and personal innovativeness. Results show that IoT awareness strengthens the impact of personal innovativeness on attitudes toward IoT. Additionally, a positive attitude significantly influences the intention to use IoT. These findings underline IoT's potential to enhance efficiency, reduce waste, and positively impact the food industry, emphasizing the importance of increasing awareness to foster its adoption.

Indexed as

circular economyfood value chaininternet of things (IoT)packagingsustainability

Identifiers

PMID40002019
PMCPMC11854303

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.