Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/598809
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dc.date.accessioned2024-10-30T10:09:54Z-
dc.date.available2024-10-30T10:09:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/598809-
dc.description.abstractIn recent years, technological changes and advancements have forced Fast Moving Consumer Goods (FMCG) industries, especially food processing, to redesign their functionality. This includes the integration of technologies like Artificial Intelligence (AI) to enhance performance. Future trends in the food processing industry will be shaped by sustainability, efficiency, traceability, wellness, safety, hygiene, health, and newlinetransparency. Food processing industries are compelled to embrace digitalization in the newlinecurrent era of globalization and digital transformation. AI encompasses programs, newlinealgorithms, robotics, drones, data mining, cloud computing, sensors, driver-less newlinevehicles, the internet of things, digital platforms, and machines, representing a new newlinelevel of intelligence. AI aims to replicate human reasoning and problem-solving newlinecapabilities, leading to task automation, increased efficiency, and reduced human newlineeffort. The growth of AI is reshaping the food processing industry, with potential newlineapplications spanning from cultivation, supply chain management, storage and safety, newlineHuman Resource Management (HRM), and Customer Relationship Management (CRM). Integrating and adopting AI in food processing can address unique challenges and offer substantial benefits across these functions. While large-scale food processing newlineindustries have made significant progress in adopting AI systems, small and mediumscale food industries are also integrating AI technology. The current research study employs a quantitative research methodology and obtained data from 320 small and medium-scale food processing industries employees in the city of Bengaluru. The primary surveyed data were analyzed using the Structural Equation Modeling (SEM) approach through AMOS 26. The research used the UTAUT 2 model to measure the usage and adoption of Artificial Intelligence (AI) among the employees of small and medium-scale food processing industries.
dc.format.extentxviii, 214p.;
dc.languageEnglish
dc.relation301
dc.rightsuniversity
dc.titleAdoption and usage of artificial intelligence in food processing industries
dc.title.alternative
dc.creator.researcherMarvin, Paul Frank
dc.subject.keywordArtificial Intelligence,
dc.subject.keywordAutomation, Robotics.
dc.subject.keywordBusiness
dc.subject.keywordEconomics and Business
dc.subject.keywordFood Processing Industry,
dc.subject.keywordSocial Sciences
dc.subject.keywordUTAUT 2,
dc.description.note
dc.contributor.guideGeorge, Ginu
dc.publisher.placeBangalore
dc.publisher.universityCHRIST University
dc.publisher.institutionDepartment of Commerce
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensionsA4
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Commerce

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01_title.pdfAttached File182.91 kBAdobe PDFView/Open
02_prelim pages.pdf888.18 kBAdobe PDFView/Open
03_abstract.pdf156.29 kBAdobe PDFView/Open
04_table_of_contents.pdf156.08 kBAdobe PDFView/Open
05_chapter1.pdf698.59 kBAdobe PDFView/Open
06_chapter2.pdf309.54 kBAdobe PDFView/Open
07_chapter3.pdf188.96 kBAdobe PDFView/Open
08_chapter4.pdf840.51 kBAdobe PDFView/Open
09_chapter5.pdf267.79 kBAdobe PDFView/Open
10_annexures.pdf2.47 MBAdobe PDFView/Open
80_recommendation.pdf450.09 kBAdobe PDFView/Open


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