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Xin Liu; Zhen Xu; Qingxia Zhang; Liang Zhou – Evaluation Review, 2024
This research aims to investigate information asymmetry in e-commerce supply chain channels and the impact of the fair preference model on the behavior and returns of channel members. Therefore, by contrasting it with the model in the completely rational case, this research establishes a more realistic principal-agent model and incorporates the…
Descriptors: Supply and Demand, Information Management, Internet, Business
Siham Alaoui – Journal of Education for Library and Information Science, 2025
This article reflects a teaching experience in an archival science program offered by a Quebec university. With the aim of redesigning an online course in records management intended for undergraduate students, by incorporating more recent aspects in the course curriculum, a pedagogical approach based on the ADDIE model (analysis, design,…
Descriptors: Online Courses, Archives, Foreign Countries, Undergraduate Study
Ana Jesús López-Menéndez; Rigoberto Pérez-Suárez – Review of Education, 2025
Econometrics has become increasingly important in Economics and Business degrees, since it appears to be narrowly related to several main skills and competencies as information management, creativity, problem-solving or decision-making. Furthermore, the development of information technologies, including econometric software, makes it possible to…
Descriptors: Teamwork, Economics, Models, Information Management
Montree Chinsomboon; Pallop Piriyasurawong – Higher Education Studies, 2024
The article is in the second phase of research is about "the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand". The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the…
Descriptors: Supply and Demand, Information Management, Preservice Teacher Education, Preservice Teachers
Ugur Sener; Salvatore Joseph Terregrossa – SAGE Open, 2024
The aim of the study is the development of methodology for accurate estimation of electric vehicle demand; which is paramount regarding various aspects of the firms decision-making such as optimal price, production level, and corresponding amounts of capital and labor; as well as supply chain, inventory control, capital financing, and operational…
Descriptors: Motor Vehicles, Artificial Intelligence, Prediction, Regression (Statistics)