JISAR

Journal of Information Systems Applied Research

Volume15

V15 N1 Pages 24-34

Mar 2022


Harvesting Intrinsically Verifiable Trust: Building a Honey Traceability System for Sustainable Development


Max Runzel
Appalachian State University
Boone, NC USA

Edgar Hassler
Appalachian State University
Boone, NC USA

Brandy Hadley
Appalachian State University
Boone, NC USA

Aaron Ratcliffe
Appalachian State University
Boone, NC USA

James Wilkes
Appalachian State University
Boone, NC USA

Joseph Cazier
Appalachian State University
Boone, NC USA

Abstract: Creating and building trust between consumers and producers is an important and challenging problem for the global economy, in particular for agricultural markets that rely on smallholder producers in mostly rural areas. We propose that Distributed Ledger Technology (DLT) can support a new, more scalable, and robust form of trust creation built on value congruence and intrinsically verifiable trust. A permissioned blockchain, in combination with a data-backed record-keeping system and IoT sensor data, allows producers and consumers to verify product characteristics such as provenance, production conditions, and environmental, social, and economic impacts. We study the application of DLT and our model for trust creation in the context of honey supply networks. Honey is one of the most adulterated food products globally and honey production offers high potential for rural development, livelihood fortification, and food security through crop pollination. We demonstrate how the implementation of DLT may help mitigate the deteriorating trust in honey product integrity while, at the same time, grant smallholder beekeepers greater access to markets and leverage for product differentiation.

Download this article: JISAR - V15 N1 Page 24.pdf


Recommended Citation: Runzel, M., Hassler, E., Hadley, B., Ratcliffe, A., Wilkes, J., Cazier, J., (2022). Harvesting Intrinsically Verifiable Trust: Building a Honey Traceability System for Sustainable Development. Journal of Information Systems Applied Research15(1) pp 24-34. http://JISAR.org/2022-1/ ISSN : 1946 - 1836. A preliminary version appears in The Proceedings of CONISAR 2021