In-transit interventions using real-time data in Australian berry supply chains

Abstract

PurposeThe objective of this paper is to contribute to Australian berry supply chains with a relevant identification regarding the possible data driven interventions that stakeholders can take while the berries are in transit.Design/methodology/approachAn exploratory series of semi-structured interviews was conducted through six Australian experts in the industry with more than 20 years of experience in Australian berry supply chains and the Australian perishable food industry, to identify key possible in-transit interventions that could be implemented in the Australian berry industry.FindingsThe analysis of the interviews revealed a total of 18 possible in-transit interventions. An important finding is that in-transit interventions are made possible by the use of real-time data gathered through IoT devices such as Active Radio Frequency Identification, Time and Temperature Indicators interacting with Wireless Sensor Networks. Another key finding is that Australian berry growers and retailers do possess the technologies and the resources necessary to make in-transit interventions possible, however they have yet applied these technologies to operational decision-making and interventions based on the product, rather focussing on supply chain transactions and events.Research limitations/implicationsSince the research focusses on an Australian context, its findings may or may not be applicable to other countries. The research is exploratory in nature, and its findings should be verified by future research, in particular to test whether the in-transit interventions proposed here can be implemented in a cost-efficient way.Originality/valueTo the authors' knowledge, this publication is the first known academic article to provide a clear understanding of the Australian berry industry from a supply chain and logistics perspective, and the first to explore possible data driven in-transit interventions in perishable food supply chains.

Forecasting the diffusion of ISO/IEC 27001: a Grey model approach

“…This pattern seems to reflect the increasing central position of information technologies in all economic fields (Maganga and Taifa, 2023; Sony et al. , 2022): nowadays value creation is all about data exchange across organizational boundaries (Rendon-Benavides et al. , 2023; Wu et al.…”

“…ISO 9001, ISO 14001) whose growing trends have recently plateaued (ISO, 2021), ISO/IEC 27001 is expected to play a significant role in the years to come. This pattern seems to reflect the increasing central position of information technologies in all economic fields (Maganga and Taifa, 2023;Sony et al, 2022): nowadays value creation is all about data exchange across organizational boundaries (Rendon-Benavides et al, 2023;Wu et al, 2022).…”

Digital transformation in food supply chains: an implementation framework

“…The internal drivers for food traceability are value and efficiency, and the external drivers are safety and quality, sustainability and consumer satisfaction (Latino et al , 2022). Traceability enabled by IoT in the cold chain helps determine potential interventions for in-transit products to ensure food quality and safety (Nayal et al , 2021; Rendon-Benavides et al , 2022). Sustainability targets can be achieved using different information and communications technologies, including IoT, while improving food quality and traceability (Nayal et al , 2021).…”