Search results

The purpose of this paper is to identify the relationship between the frequency of publication on food supply chain (FSC) traceability and the occurrence of foodborne diseases outbreaks.

A systematic review of the literature was carried out to locate the main articles published in the literature, followed by a content analysis in order to list the main food traceability technologies and their evolutions. Finally, a Spearman’s ρ correlation analysis between the frequency of publications on FSC traceability and the annual occurrence of foodborne outbreaks in the five largest food exporting countries in the world was performed.

In these analyses, the tools of radiofrequency, deoxyribonucleic acid, wireless sensor network, hazard analysis and critical control points and Internet of Things are the most researched technologies, and they are relevant in the evolution of traceability in the FSC. With correlation coefficients above 0.700 at 0.01 significance levels, this evolution of food traceability technologies has been one of the factors reducing the number of food outbreaks in the USA and Germany, countries with greater development of the health system and food control.

This paper provides an evaluation of the food traceability technologies and the effects of their evolutions in the occurrence of food outbreaks. This may help in the proposal of public policies related to food and outbreak control.

Customer value is the key to successful innovation management. This task is considered complex and abstract. For this reason, several models have been proposed to that end, among them, Lean approaches. Lean's background has been applied to value identification, providing many benefits. This paper aims at analyzing the practices employed to identify customer value through Lean approaches.

Through a systematic literature review, the main Lean practices for customer value identification were categorized based on five main streams: (1) customer development, (2) customer value, (3) lean product, (4) lean start-up, and (5) lean innovation. These practices were organized into a framework that addresses value identification based on ideation, value prospection, requirements, construction and measurement, and value delivery.

In total, 33 practices were found to support capturing the value from the customer's perception. Additionally, a discussion is provided on the complementarity and differences between practices.

A framework is proposed to integrate the five streams and the corresponding practices for value identification. The results provide mechanisms that can benefit practitioners to better understand the value demanded by customers during innovation management. In fact, practitioners can use the proposed framework to identify value to customers in a holistic way. Academically, the results gather research on customer value and innovation management to contribute with a novel artifact for customer value identification in operations management using Lean approaches. Finally, a future research agenda on value identification is proposed.