COV19IR : COVID-19 Domain Literature Information Retrieval

Increasing number of COVID-19 research literatures cause new challenges in effective literature screening and COVID-19 domain knowledge aware Information Retrieval. To tackle the challenges, we demonstrate two tasks along withsolutions, COVID-19 literature retrieval, and question answering. COVID-19 literature retrieval task screens matching COVID-19 literature documents for textual user query, and COVID-19 question answering task predicts proper text fragments from text corpus as the answer of specific COVID-19 related questions. Based on transformer neural network, we provided solutions to implement the tasks on CORD-19 dataset, we display some examples to show the effectiveness of our proposed solutions

Online IS Education for the 21st Century

Online teaching and learning have become increasingly common in higher educational institutions. These higher educational institutions realize the growing importance of online learning in information systems/information technology (IS/IT) education and are now offering online IS/IT courses and programs to students. However, designing, developing, teaching, and assessing an online IS/IT course effectively is often a challenge. Many IS/IT instructors are new to online teaching and need orientation and training for their own readiness in designing, developing, teaching, and assessing IS/IT courses in the online environment. It is recognized that effective faculty are key to student success in online courses and to the success of online programs (Meyer and Jones, 2012). Therefore, it is imperative that administrators and instructors of IS/IT courses and programs learn more of the best practices of online teaching for high student success. This support to instructors and administrators is the purpose of the Special Issue of the Journal of Information Systems Education

BLOCKCHAIN-BASED SOLUTIONS FOR HUMANITARIAN SUPPLY CHAIN MANAGEMENT

The outbreak of the novel COVID-19 demonstrates how pandemics disturb supply chains (SC) all across the world. Policymakers and private-sector partners are increasingly acknowledging that we cannot tackle today\u27s issues without leveraging the promise of new technology. Blockchain technology is increasingly being adopted to help humanitarian efforts in various fields. This paper presents conceptual research designed to assess how Blockchain distributed ledger technology can be leveraged to enhance humanitarian supply chain management (HSCM). This paper fills the present research gap on the Blockchain\u27s potential implications for HSCM by proposing a framework built on the foundations of five prominent institutional economic theories: social exchange theory, principal-agent theory, transaction cost theory, resource-based view, and network theory. These theories could be utilized to generate research topics that are theory-based and industry-relevant. This conceptual framework assists institutions in making decisions about how to recover and rebuild their SC during disasters