Status : Verified
Personal Name Indiongco, Patrisha Coleen K.
Resource Title Improving food safety in the Philippine meat processing industry with artificial intelligence: a technology foresight through scenario building
Date Issued 06 June 2025
Abstract Preventing foodborne illnesses and ensuring hygienic conditions remain a public health concern in developing countries like the Philippines. Poverty is still a major factor that affects access to safe food. Meat based products were identified as the most common food vehicle for foodborne illness outbreaks. In order to address these challenges in the entire supply-chain, from farm to fork, the food industry is assessing the potential benefits of implementing artificial intelligence solutions. This study employed technology foresight through a 10-stage scenario building methodology to develop future scenarios and evaluate the key factors that can significantly affect the artificial intelligence adoption in the Philippines food industry. The common food safety challenges and the potential role of artificial intelligence in enhancing food safety in the next 3 to 5 years was discussed in this paper. Four future scenarios were developed by the researcher which can help food manufacturers, artificial intelligence technology suppliers, and the government in making sound decisions and strategies. This will aid in successfully integrating artificial intelligence solutions in the food manufacturing set-up.
Degree Course Master of Technology Management
Language English
Keyword Scenario building; Technology foresight; Meat processing; Food safety; Artificial intelligence
Material Type Thesis/Dissertation
Preliminary Pages
137.64 Kb
Category : P - Author wishes to publish the work personally.
 
Access Permission : Limited Access