Past, Present, and Future of Visual Process Analytics
Jan Mendling, Humboldt-Universität zu Berlin, Germany
Covid, Work-from-Home, and Securities Misconduct
Douglas Cumming, College of Business, Florida Atlantic University, United States
Bridging the Digital Divide in Ethnic Minority Older Adults: An Organisational Qualitative Study
Jyoti Choudrie, Hertfordshire Business School, United Kingdom
Past, Present, and Future of Visual Process Analytics
Jan Mendling
Humboldt-Universität zu Berlin
Germany
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Brief Bio
Jan Mendling is the Einstein-Professor of Process Science with the Department of Computer Science at Humboldt-Universität zu Berlin, Germany. His research interests include various topics in the area of business process management and information systems. He has published more than 450 research papers and articles, among others in Management Information Systems Quarterly, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, Journal of the Association of Information Systems and Decision Support Systems. He is a department editor for Business and Information Systems Engineering, member of the board of the Austrian Society for Process Management , one of the founders of the Berlin BPM Community of Practice , organizer of several academic events on process management, and a member of the IEEE Task Force on Process Mining. He is co-author of the textbooks Fundamentals of Business Process Management, Second Edition, and Wirtschaftsinformatik, 12th Edition, , which are extensively used in information systems education.
Abstract
Process analysis techniques supported by diagrams and process models have been used at least since the 1920s. While some of these techniques have become part of the standard repertoire of an information system analyst, others have been neglected or forgotten. In this talk, I will shed light on early techniques, such as described by Nordsieck, and trace the development of those fields that today are known as business process management and visual analytics. Based on a comparison of these fields, I identify potential synergies that can inspire innovations and future research directions for visual process analytics.
Covid, Work-from-Home, and Securities Misconduct
Douglas Cumming
College of Business, Florida Atlantic University
United States
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Brief Bio
Douglas Cumming, J.D., Ph.D., CFA, is the DeSantis Distinguished Professor of Professor of Finance and Entrepreneurship at the College of Business, Florida Atlantic University in Boca Raton, Florida. Douglas has published over 200 articles in leading refereed academic journals in finance, management, and law and economics, such as the Academy of Management Journal, Journal of Financial and Quantitative Analysis, Journal of Financial Economics, Review of Financial Studies, and Journal of International Business Studies. His work has been cited over 20,000 times according to Google Scholar. He is the Managing Editor-in-Chief of the Review of Corporate Finance (2021-current), British Journal of Management (2020-current), and Co-Editor of the Journal of Industrial and Business Economics. Douglas has published 21 academic books, including Crowdfunding: Fundamental Cases, Facts, and Insights (Elsevier Academic Press, 2019). Douglas’ work has been reviewed in numerous media outlets, including The Economist, The New York Times, the Chicago Tribune, the Wall Street Journal, and The New Yorker.
Abstract
We consider whether traders are more likely to commit securities violations when trading at home, a new form of working induced by the Covid pandemic. We examine data pre- and post-Covid, during which some traders were unexpectedly forced to work at home. The data indicate the presence of both a treatment and a selection effect, such that those working at home exhibit fewer misconduct cases. Work at home is associated with fewer cases of trading misconduct, although no difference in communications misconduct. The economic significance of working from home on trading misconduct is large for both the treatment and selection effects.
Bridging the Digital Divide in Ethnic Minority Older Adults: An Organisational Qualitative Study
Jyoti Choudrie
Hertfordshire Business School
United Kingdom
Brief Bio
Professor Jyoti Choudrie holds the position of Professor of Information Systems at University of Hertfordshire. She has extensive years’ experience specialising in investigating the social inclusion and adoption of Information and Communications Technologies on society’s ‘marginal groups’, the adoption, use and diffusion of innovative Information and Communication Technologies in Small to Medium Size Enterprises and large organizations. This is based upon the principles and mechanisms of variables taken from the theories of diffusion, adoption, usage and implementation in the social, organisational and government realms and how they can be brought to fruition using modern internet related technologies; for instance, Broadband, Smartphones and online social networks to guide and improve individuals experiences of modern technology. This was achieved due to sponsored research funding schemes-Royal Academy of Engineering, Microsoft and Knowledge Transfer Partnerships and consultancy projects with organizations such as, British Telecom and AoL. To ensure that her expertise remains in the area, she has written for established journals such as, European Journal of Information Systems (EJIS), and Journal of Information Technology, and published a Routledge research monograph titled “Management of Broadband Technology Innovation”. She is also one of the four Editors in Chief of Information, Technology & People journal.
Abstract
This presentation aims to explore and understand the digital divide in older adults when accepting and using smart devices within an organization. Using an in-depth single case study, the digital divide is explored and understood using technology-mediated learning for older adults when using smart devices; ie. tablet devices. The case study is based on a group of educated, older Indian adult volunteers at a local Punjabi radio station. A qualitative approach used the data collection techniques of interviews, observations, informal conversations and reference to archival documents and interpretivism for analysis. Our findings revealed that older adults with ailments have shorter lives, contrary to popular perception, can be very active in their communities, are able to use basic IT and are willing to use technology when it leads to significant tangible or intangible benefits without considering the remaining time of their lives. Contributions for policymakers and industry are also offered in this presentation.