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Critical Digital Data Enabling Traceability for Smart Honey Value Chains

delete2025-02-20
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PRE
AI
E
Ewa Ziemba *
E
Ewa Wanda Maruszewska *
A
Anna Karmańska
M
Mehmet N. Aydın
Ş
Şahin Aydın
DOI:10.1080/08874417.2025.2469092delete
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Abstract

Abstract

En 中文
Data analysis and sharing are becoming increasingly important in creating value within food supply chains, including honey value chains. While some data is readily shared between supply chain actors, unlocking further benefits requires additional investments in digital data capturing, particularly for value-based claims such as sustainability, equity, and traceability from hives to customers. This study aims to identify critical digital data necessary for smart honey value chains to ensure traceability and transparency while fostering trust among beekeepers, intermediaries, and consumers. Semi-structured interviews with 30 beekeeping experts were conducted to explore their perspectives. The analysis identified four critical categories of data-beekeeper data, apiary data, honey data, and apiary practices data-encompassing 21 specific data points essential for ensuring transparency, traceability, and trust. These findings provide novel insights into the digital data requirements necessary to support the honey industry's evolving needs for transparent and traceable value chains.
Keywords:
Honey
data mapping
data value map
digital data
interviews
sustainability
traceability
value chains

Journal

Journal of Computer Information Systems cover
Journal of Computer Information Systems
IF:
4.2
Papers:
199
Citations:
3.1K

Organization

A
a university of economics in katowice
Scholars:
3
Papers: 1
Citations: 0
B
b kadir has university
Scholars:
2
Papers: 2
Citations: 0
C
c işık university
Scholars:
1
Papers: 1
Citations: 0
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