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1. Chapter Multi-Aspectual Knowledge Elicitation for Procurement Optimization in a Warehouse Company

Author

Fotso Mtope, Franck Romuald, Joneidy, Sina, Pandit, Diptangshu, and Pour Rahimian, Farzad

Subjects
domain experts, knowledge elicitation, multi-aspects, machine learning, procurement optimization, warehouse, technology acceptance, thema EDItEUR::U Computing and Information Technology
Abstract

Efficient optimization of business processes required a profound understanding of expertise provided by domain specialists. However, extracting such insights can indeed be a laborious and time-consuming endeavour. This paper introduces the Multi-Aspectual Knowledge Elicitation framework (MAKE4ML) — a novel approach designed to effortlessly and effectively extract valuable information from domain experts. This framework inherently facilitates the development of machine-learning models capable of optimizing business processes, thereby diminishing reliance on experts. The framework's application within a food warehouse company is showcased, specifically targeting the enhancement of the procurement process. The employed methodology revolves around conducting comprehensive interviews with procurement experts, thereby enabling a meticulous exploration of diverse facets inherent to a business process. Subsequently, the gathered insights are employed to conceive and calibrate a machine learning model (time series forecasting). This model effectively emulates the domain experts' proficiency, offering invaluable decision-oriented insights. The outcomes of this study show that our framework allows efficient knowledge elicitation, which is a pivotal factor in formulating and deploying a bespoke machine-learning model. The proposed approach can be extended into various other business processes, thereby paving the way for operational refinement, cost reduction, and amplified efficiency

Published
2023
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4. Closing the Legal-Technical Gap in Digital Trade.

Author

Joneidy, Sina, Rahimian, Farzad, and Arciszewski, Tomasz

Subjects
INTERNET marketing, COMMERCIAL policy, TECHNOLOGICAL innovations, COMMERCIAL law
Abstract

As digital trade continues to reshape the global economic landscape, the key objective of this study is to bridge a significant Legal-Technical gap characterised by the discord between rapid technological advancements and slower-evolving legal frameworks. This paper delves into the complexities of this gap and emphasises the need for a holistic approach to understand and address the multifaceted challenges it presents to businesses, policymakers, and the broader international trading system. This research offers a novel theoretical foundation for exploring and bridging the Legal-Technical gap in digital trade. Initially, it discusses the integration of legal and technical knowledge systems, which leads to the emergence of specific transdisciplinary knowledge as described by Andrew Sage's Theory of Systems. Subsequently, it explores the acquisition of universal knowledge about these systems through Herman Dooyeweerd's multi-aspectual philosophy. Furthermore, it proposes the development of a transdisciplinary knowledge representation using Fritz Zwicky's Morphological Method. Our analysis reveals that focusing on lingual, social, economic, and aesthetic aspects enables the prioritisation of critical factors essential for enhancing legal-technical functionality. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Towards a deeper understanding of meaningful use in electronic health records.

Author

Joneidy, Sina and Burke, Maria

Subjects
*RESEARCH methodology, *PATIENT safety, *PHILOSOPHY, *QUALITY assurance, *QUALITATIVE research, *ELECTRONIC health records
Abstract

Objective: The purpose of this study was to identify and analyse the US Health Sector concept of the 'Meaningful Use' of electronic health records (EHR's) based on the wide diversity of discourses in the published literature. Meaningful Use is defined as 'use of digital medical and health records to improve quality, safety and efficiency of patient health information'. Methods: Herman Dooyeweerd's philosophical suite of aspects was the chosen research tool used to analyse seminal papers concerning the Meaningful Use of EHRs. The methodology included the identification of the criteria for choosing the papers: application of the criteria to the literature and then selection of the papers and finally the application of Dooyeweerd's aspects to the papers in order to analyse and classify the motivations of the authors. Results: As a result of the aspectual analysis of the relevant texts in the seminal papers, two aspects were identified, one as primary and another one as secondary. In addition, the analytic aspect was repeated twice as the primary aspect. Although there were a number of papers distinctively centred on different aspects, overlaps and similarities were also clearly identified. Discussion: Dooyeweerd's philosophy is useful in helping to affirm the factors that are important to the authors of the seminal papers and the philosophy helps us to accommodate this diversity in a unique way, therefore enhancing our understanding of approaches in the area. Conclusion: By employing the lens of Dooyeweerd's aspects, the study enhances the understanding of diversity in one discipline and could potentially provide a new system for the classification of diversity within other related disciplines. [ABSTRACT FROM AUTHOR]

Published
2019
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10. Artificial Intelligence and Bank Soundness : Between the Devil and the Deep Blue Sea - Part 2

Author

Ayadurai, Charmele and Joneidy, Sina

Subjects
Technology & Engineering
Abstract

Banks have experienced chronic weaknesses as well as frequent crisis over the years. As bank failures are costly and affect global economies, banks are constantly under intense scrutiny by regulators. This makes banks the most highly regulated industry in the world today. As banks grow into the 21st century framework, banks are in need to embrace Artificial Intelligence (AI) to not only to provide personalized world class service to its large database of customers but most importantly to survive. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions challenges from the main strand of CAMELS into distinct categories of AI into 1(C), 4(A), 17(M), 8 (E), 1(L), 2(S) categories that banks and regulatory teams need to consider in evaluating AI use in banks. Although AI offers numerous opportunities to enable banks to operate more efficiently and effectively, at the same time banks also need to give assurance that AI ‘do no harm’ to stakeholders. Posing many unresolved questions, it seems that banks are trapped between the devil and the deep blue sea for now.

Published
2020

11. Artificial Intelligence and Bank Soundness : A Done Deal? - Part 1

Author

Ayadurai, Charmele and Joneidy, Sina

Subjects
Technology & Engineering
Abstract

Banks soundness plays a crucial role in determining economic prosperity. As such, banks are under intense scrutiny to make wise decisions that enhances bank stability. Artificial Intelligence (AI) plays a significant role in changing the way banks operate and service their customers. Banks are becoming more modern and relevant in people’s life as a result. The most significant contribution of AI is it provides a lifeline for bank’s survival. The chapter provides a taxonomy of bank soundness in the face of AI through the lens of CAMELS where C (Capital), A(Asset), M(Management), E(Earnings), L(Liquidity), S(Sensitivity). The taxonomy partitions opportunities from the main strand of CAMELS into distinct categories of 1 (C), 6(A), 17(M), 16 (E), 3(L), 6(S). It is highly evident that banks will soon extinct if they do not embed AI into their operations. As such, AI is a done deal for banks. Yet will AI contribute to bank soundness remains to be seen.

Published
2019

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