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Full-Text Articles in Business
Enterprise Architecture In Healthcare Networks: A Systematic Literature Review, Arjen Maris, Stijn Hoppenbrouwers, Jos Van Hillegersberg
Enterprise Architecture In Healthcare Networks: A Systematic Literature Review, Arjen Maris, Stijn Hoppenbrouwers, Jos Van Hillegersberg
Communications of the IIMA
Healthcare organizations collaborate, share knowledge, and need to be accountable to each other. Therefore, healthcare organizations manage a dynamic information system landscape. Enterprise Architecture (EA) is a management tool for aligning these landscapes to the primary information needs that healthcare organizations have. EA is of value in some environments, but it seems to be not well suited to the dynamics of healthcare. Despite the publication of several systematic literature reviews on EA in healthcare, a systematic literature study comparing EA applicability at various levels of cooperation (intra, inter, and network collaboration) is lacking. Therefore, we posed the following research question: …
Blockchain In The Food Industry: Integrating Machine Learning In A Systematic Literature Review, Juan M. Gómez, Omar H. Fares, Myuri Mohan, Seung Hwan Lee
Blockchain In The Food Industry: Integrating Machine Learning In A Systematic Literature Review, Juan M. Gómez, Omar H. Fares, Myuri Mohan, Seung Hwan Lee
Journal of International Technology and Information Management
This study provides a systematic literature review of blockchain technology in the food industry with a supply chain lens. We identify primary and sub-themes, discuss implications and applications in terms of delivering value and propose literature-informed future research directions. This review uncovered three primary themes: a) Value Creation; b) Supply Chain Digitization; and c) Transformation. It demonstrates that digitalizing food networks with blockchain technology may benefit from increased stakeholder involvement and data visibility to gain competitive advantage. Beyond the theoretical contributions, this research provides a methodological contribution by demonstrating the uses of machine learning techniques to perform systematic literature reviews.