An Innovation Framework of Medical Organic Cannabis Traceability in Digital Supply Chain

Abstract

Cannabis is increasingly accepted by medical organizations for medicinal and research purposes. A traceability system is required for monitoring and controlling the use of cannabis. This work aimed to investigate the relationship between critical success factors (CSFs) for creating the innovation framework that affects the implementation of the cannabis traceability system. These factors are identified based on the digital supply chain by structural modeling. Additionally, the issue of patients’ safety is a crucial factor that needs to be considered. Total Interpretive Structural Modeling (TISM) and fuzzy MICMAC analysis techniques were applied to investigate the relationship between CSFs. Finally, the 14 CSFs affecting cannabis traceability systems were determined. The research results discovered that system reliability is the most significant key factor with the greatest influence and contribution to the achievement. The five CSFs based on TISM comprise harmonized strategic orientation, inter-organization collaboration, standardization, government regulations, and customer awareness. According to the conclusive dependence–driving power diagram, they have the most driving power in the implementation and operation traceability system. The innovation framework helps to establish the traceability system in a way that works well. This will build trust in the supply chain and prevent abuse and substandard products.

Panorama del cannabis medicinal en el contexto rural integral colombiano

“…Por un lado, las condiciones macroeconómicas que prevalecieron en los primeros ocho años de la década de los noventa (revaluación del peso colombiano) provocaron un aumento sustancial de los precios relativos, generando expectativas del sector cannabis en el territorio nacional colombiano mediante un marco regulado (Pookkaman y Samanchuen, 2022). En ese sentido, de acuerdo con López (2019) en las zonas rurales de Colombia aumentó el índice de pobreza interpretado desde el conflicto armado nacional y la migración del campo hacia las ciudades, lo que hace que sea muy importante para el país potencializar el agro colombiano, no sólo como un problema de seguridad alimentaria, sino como una solución real al empleo y concesión de nuevos recursos.…”

A Smart Co-Operative Management Framework Based on an EA Concept for Sustainable Development

“…The experts evaluated each item based on their judgment and expertise. The acceptable I-CVI value is 0.78 or higher when the number of experts is 6 to 10 [102,103], and Kappa (k*) must be greater than 0.8 in order to meet the requirements [104]. For calculating I-CVI, the following equation is used:…”

“…The following is the formula and the criteria: multi-rater Kappa statistics support the value of Kappa (k*), a Kappa statistic, as it is more likely to be regarded as the validity factor by experts [105]. There are three possible interpretations: exceptional (k* > 0.74), decent (k* = 0.60-0.74), and fair (k* = 0.40-0.59) [102,103]. The following formulas apply to the value of Kappa (k*):…”