The BAM E-Business and Information Systems Management SIG and the Società Italiana di Management (SIMA) AI / Digital Transformation Thematic Group are co-hosting a webinar on 6 November 2024, from 12:00 to 13:00 GMT.
The event is organized by Newcastle University Business School’s Information Systems and Operations Group.
The speaker, Dr. Efpraxia D. Zamani, an Associate Professor of Information Systems at Durham University Business School, will discuss "AI and Business Analytics for Business Model Transformation, and Paradoxical Tensions." Dr. Zamani's research focuses on the organizational and social dimensions of Information Systems, exploring how Information Technology influences and is influenced by practice. Her work is widely published in reputable journals, including Information Systems Journal and Journal of Information Technology.
The webinar will delve into how AI and business analytics are pivotal in transforming business models while addressing the inherent paradoxes and challenges that arise in this digital transformation process.
Attendees will receive the Zoom link on the morning of the event.
Provider Information
BAM E-Business and Information Systems Management Special Interest Group & Società Italiana di Management (SIMA) AI/Digital Transformation Thematic Group.Who Should Attend?
The event is open for scholars mainly in the Information Systems Management discipline.
This events to Sections A1, A2, C1, as detailed in the BAM Framework.
Guest Speaker
Dr Efpraxia Zamani
Dr. Efpraxia D. Zamani is an Associate Professor of Information Systems. Before joining Durham University Business School, Efpraxia was a Senior Lecturer at the Information School, University of Sheffield (UK). Her research interests are found at the intersection of organizational and social aspects of Information Systems, with an emphasis on how Information Technology shapes and is being shaped in practice.
Her work has appeared in the Information Systems Journal, the Journal of Information Technology, Government Information Quarterly, and Technological Forecasting and Social Change, among others, and she has presented her work in numerous conferences.
Chaired by
Dr Dinara Davlembayeva
Dr Dinara Davlembayeva is a Lecturer in Digital Business at Newcastle University Business School and an Associate Editor at the International Journal of Business Systems & Applied Management. She holds a Ph.D. in Management from Newcastle University Business School and an MSc in Marketing and Strategy from Warwick Business School.
Dinara's research focuses on the use of digital technology within organisations for developing and managing stakeholder relationships. In particular, she adopts a multi-stakeholder perspective to understand how organisations can implement digital technology in business management and marketing, social organisation within digitally-mediated environments, and the implications of digital technology for stakeholder sustainability. Her research explores consumers’ experiences, cognitions, and behaviours when interacting on e-commerce and sharing economy platforms, as well as their interactions with innovative technologies such as artificial intelligence (AI), virtual reality (VR), and the metaverse. She incorporates interdisciplinary insights into her investigations. Dinara’s completed research has been published in peer-reviewed journals in Information System Management and Marketing and has been presented at international conferences in these fields.
Professor Savvas Papagiannidis
Prof Savvas Papagiannidis is the David Goldman Professor of Innovation and Enterprise at Newcastle University Business School. His research interests revolve around electronic business and its various sub-domains.
More specifically, his research aims to inform our understanding of how e-business technologies affect the social and business environment, organisational strategies and business models, and how these are implemented in terms of functional innovations. His work puts strong emphasis on innovation, new value creation and exploitation of entrepreneurial opportunities, within the context of different industries.
Savvas has served as a track/SIG Chair for Ebusiness & Information Management, as a BAM Council Member and on the BAM Executive as the co-Vice Chair for SIGs. He also hosted the 2016 BAM Conference in Newcastle.
Thanos Papadopoulos
Professor Thanos Papadopoulos is the Head of the Department of Analytics, Operations & Systems at KBS and member of the Centre for Logistics and Heuristic Optimisation (CLHO). Thanos has published over 140 articles in peer reviewed journals and conferences including:
- Inter alia, the British Journal of Management, Decision Sciences
- European Journal of Operational Research, International Journal of Operations and Production Management, International Journal of Production Research, IEEE Transactions on Engineering Management
- International Journal of Production Economics, Technological Forecasting and Social Change, and Production Planning and Control.
Thanos is an Associate Editor for ‘British Journal of Management’, 'International Journal of Operations and Production Management' and 'Benchmarking: an international journal'. He also serves as an Editorial Board Member for Technological Forecasting and Social Change, International Journal of Information Management, International Journal of Information Management Insights, and Industrial Management and Data Systems.
Benefits of attending
- Learn about the implications of AI for business models
- Discover the role of business analytics for business model transformations
- Explore the paradoxical tensions resulting from the implementation of AI in business models
Contact
Please contact the BAM Office at [email protected] with any queries.
Event Fee
This event is free for all to attend, but we will encourage you to consider Becoming Members of BAM, our E-Business and Information Systems Management SIG and SIMA.
When Becoming a Member of BAM, you can register for FREE Membership for SIMA. For more information, please visit BAM Membership
Registration closes on 5th November 2024 at 23:59 GMT