14 results on '"Rehm, Sven-Volker"'
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2. Using information systems to achieve complementarity in SME innovation networks
- Author
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Rehm, Sven-Volker and Goel, Lakshmi
- Published
- 2017
- Full Text
- View/download PDF
3. “So what if ChatGPT wrote it?”:Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
- Author
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Dwivedi, Yogesh Kumar, Kshetri, Nir, Hughes, Laurie, Slade, Emma Louise, Jeyaraj, Anand, Kumar Kar, Arpan, Baabdullah, Abdullah M, Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S, Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W, Davies, Gareth H, Davison, Robert M, De, Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John, Flavian, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R, Latreille, Paul, Laumer, Sven, Malik, F Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Horn Nord, Jeretta, O'Connor, Siobhan, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O, Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P, Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwani, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, Wright, Ryan, Dwivedi, Yogesh Kumar, Kshetri, Nir, Hughes, Laurie, Slade, Emma Louise, Jeyaraj, Anand, Kumar Kar, Arpan, Baabdullah, Abdullah M, Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S, Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W, Davies, Gareth H, Davison, Robert M, De, Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John, Flavian, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R, Latreille, Paul, Laumer, Sven, Malik, F Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Horn Nord, Jeretta, O'Connor, Siobhan, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O, Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P, Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwani, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, and Wright, Ryan
- Abstract
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts.
- Published
- 2023
4. Information management for innovation networks—an empirical study on the “who, what and how” in networked innovation
- Author
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Rehm, Sven-Volker, Goel, Lakshmi, and Junglas, Iris
- Published
- 2016
- Full Text
- View/download PDF
5. The emergence of boundary clusters in inter-organizational innovation
- Author
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Rehm, Sven-Volker and Goel, Lakshmi
- Published
- 2015
- Full Text
- View/download PDF
6. Experimentation Platforms as Bridges to Urban Sustainability
- Author
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Rehm, Sven-Volker, McLoughlin, Shane, Maccani, Giovanni, Rehm, Sven-Volker, McLoughlin, Shane, and Maccani, Giovanni
- Abstract
Despite immense efforts to realize diverse visions of the ‘smart city,’ municipalities still face manifold uncertainties of how governance and the tools of governance can best support public and regional value creation for achieving urban sustainability. To this end, Urban Living Labs have become a known enabling mechanism. In this paper, we extend the lab idea and formulate the concept of Urban Experimentation Platform that focuses on developing urban innovation ecosystems for urban sustainability. We use action design research and participant observation across multiple case studies enacting Urban Experimentation Platforms in order to investigate how the tie-in between governance and the local lab’s innovation process unfolds. Our analysis distills three facets that are instrumental in institutionalizing these platforms as resilient organizational models. With the help of the case studies, we illustrate the three facets, concerning issues of urban ecosystem governance, empowering co-creation, and qualifying local innovation. The facets reinforce the roles of digital instruments and digital capabilities for effective urban governance and platform management. We draw some conclusions for future research and formulate policy recommendations for implementing and operating Urban Experimentation Platforms.
- Published
- 2021
7. Experimentation Platforms as Bridges to Urban Sustainability
- Author
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Rehm, Sven-Volker, primary, McLoughlin, Shane, additional, and Maccani, Giovanni, additional
- Published
- 2021
- Full Text
- View/download PDF
8. Collaborative Modelling and Visualization of Business Ecosystems
- Author
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Faber, Anne, Hernandez-Mendez, Adrian, Rehm, Sven-Volker, and Matthes, Florian
- Subjects
ddc - Published
- 2019
9. Collaborative Modelling and Visualization of Business Ecosystems: Insights from two Action Design Research Case Studies.
- Author
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Faber, Anne, Hernandez-Mendez, Adrian, Rehm, Sven-Volker, and Matthes, Florian
- Subjects
BUSINESS ecosystems ,CASE studies ,ACTION research ,DESIGN research - Abstract
Business ecosystems are increasingly gaining relevance in research and practice. Because ecosystems progressively change, enterprises are required to analyse their ecosystem, in order to identify and respond to such changes. For gaining a comprehensive picture of the ecosystem, various enterprise stakeholders need to be involved in the analysis process. We use an Action Design Research approach to implement a collaborative process for modelling and visualizing business ecosystems in two case studies. We look at the challenges of the collaborative process and study how a model-driven approach addresses these challenges. We validate and discuss the modelling process along six steps; definition of the business ecosystem focus, model instantiation, data collection, provision of tailored visualizations, model adaption, and using visualizations 'to tell a story'. In a cross-case analysis, we draw conclusions with respect to process implementation and the role of visualizations. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
10. Modeling and Visualizing Smart City Mobility Business Ecosystems: Insights from a Case Study
- Author
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Faber, Anne, primary, Rehm, Sven-Volker, additional, Hernandez-Mendez, Adrian, additional, and Matthes, Florian, additional
- Published
- 2018
- Full Text
- View/download PDF
11. The Metaverse as Mediator between Technology, Trends, and the Digital Transformation of Society and Business
- Author
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Rehm, Sven-Volker, primary, Goel, Lakshmi, additional, and Crespi, Mattia, additional
- Published
- 2015
- Full Text
- View/download PDF
12. Architektur vernetzter Wertschöpfungsgemeinschaften der Textilwirtschaft
- Author
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Rehm, Sven-Volker and Fischer, Thomas (Prof. Dr.)
- Subjects
Netzwerk , Wissensmanagement , Koordination , Unternehmenskooperation , Modellierung ,Community Governance , Dynamically Networked Enterprises , Cooperation in Value Added Networks , Knowledge Management , Modelling and Coordination - Abstract
Die Wertschöpfungsgemeinschaften der Textilwirtschaft weisen traditionell gewachsene Strukturen auf. Diese sind heute gegenüber ihrem turbulenten Umfeld ineffizient und ineffektiv geworden; sie werden den Anforderungen der heutigen unternehmerischen Umwelt nicht mehr gerecht. Gleichzeitig erwächst aus diesen Beziehungen das Potenzial, sich den neuen Anforderungen zu stellen und ihnen aktiv zu begegnen. Um dieses Potenzial nutzen zu können, fehlen dem Management der Unternehmen jedoch die geeigneten Mittel, um bessere, flexiblere Strukturen zu schaffen und um in diesen neuen Strukturen kooperieren und führen zu können. Es werden neue organisatorische Kompetenzen benötigt, um in der Zukunft Kooperationen aktiv gestalten zu können. Das Management muß hierzu seinen Handlungsrahmen um geeignete Mittel erweitern. Das Ziel der dieser Arbeit zugrundeliegenden Forschungstätigkeit bestand darin, zunächst für ein konkretes, komplexes Koordinationsproblem der Textilwirtschaft eine praktikable Lösungsidee zu entwickeln und zu erproben. Daraus sollte in einem zweiten Schritt, mit der vorliegenden Arbeit, ein Beitrag zum wissensorientierten Management zukünftig verstärkt auftretender Typen netzwerkartiger Kooperationen innerhalb der Textilwirtschaft entstehen. Die Ausarbeitung folgt dazu einer konstruktiven, integrativen Methodik, mithilfe derer die geforderten neuen Mittel für Management entwickelt werden. Sie setzen einen neuen Handlungsrahmen für Management, der die Partner der Wertschöpfungsgemeinschaften dazu befähigen soll, ihre vernetzten Gemeinschaften und ihre Kooperation in diesen Gemeinschaften besser gestalten zu können. Vor diesem Hintergrund wird eine Architektur der vernetzten Wertschöpfungsgemeinschaften der Textilwirtschaft erarbeitet. Sie liefert die methodische Grundlage für wissensorientiertes Management. Bei der Gestaltung der Kooperation kommt dabei der Modellierung und der Koordination ein besonderer Stellenwert zu. Die erfolgreiche Kooperation innerhalb der netzwerkartigen Wertschöpfungsbeziehungen beruht auf der geeigneten Gestaltung der entstehenden neuen Wertschöpfungsgemeinschaften. Insbesondere die Form des Gemeinschaftshandelns erzeugt Communities, innerhalb derer Wertschöpfungspartner Netzwerke bilden können, welche definierte netzwerkartige Ausprägungen von Kooperationen sind, an denen die Partner über unterschiedliche Koordinationsmechanismen partizipieren. Der erste Teil der Ausarbeitung untersucht eine praktischen Problemstellung. Es wird die Kooperation innerhalb einer konkreten Wertschöpfungsgemeinschaft der Textilwirtschaft im Bereich Heimtextilien betrachtet. Die Arbeit stellt zunächst den anwendungsorientierten Forschungsansatz vor und formuliert die konkrete Problemstellung. Dabei werden drei grundlegende Probleme identifiziert. Dies sind das Vernetzungsproblem, hinsichtlich der dynamischen Gestaltung der Partnerschaftsbeziehungen, das Navigationsproblem, hinsichtlich der systematischen Orientierung in der komplexen Beziehungsstruktur der Wertschöpfungsgemeinschaft sowie das Problem der Wissensteilung, hinsichtlich der systematischen Erschließung von Wissen für die Kooperation. Lösungsidee ist es, diesen drei Problemen durch Einführung eines neuen organisatorischen Konzeptes, durch Etablierung entsprechender methodischer Grundlagen und durch die Anwendung geeigneter Technologien zu begegnen. Zielsetzung ist die Erarbeitung eines Lösungsvorschlages für die Neugestaltung der Integration der Community-Partner. Insbesondere wird untersucht, welche Merkmale die neuen Wertschöpfungsgemeinschaften, die Communities, aufweisen. Es wird hierbei das Managementkonzept der Community Governance entwickelt. Die Umsetzung dieses Konzeptes fordert von den Unternehmen der Gemeinschaften die Etablierung der neuen Organisationsform Dynamisch Vernetzter Unternehmen. Dies geschieht mithilfe einer Gestaltungsmethode, die auf einer wissensorientierten Analyse und Modellierung basiert. Es wird ein konkretes Gestaltungsprojekt erläutert, das diese Methode praktisch umsetzt. Das Ergebnis ist ein neuer Handlungsrahmen für Management, der neue methodische und technologische Instrumente und Tools umfasst. Letztere werden im zweiten Teil der Ausarbeitung im Hinblick auf eine generalisierte Problemstellung erörtert. In diesem Zusammenhang wird ein Wissensmodell als generisches Framework für wissensorientiertes Management formuliert. Es ermöglicht die Untersuchung eines allgemeinen konzeptionellen Modells der Community Governance. Aus dem Blickwinkel von Systemtheorie und Kybernetik wird im folgenden die Community Governance als komplexes ökonomisches System charakterisiert. Abschließend werden die Potenziale der Community Governance als Managementkonzept im Umfeld anderer dynamischer Gemeinschaftsstrukturen erörtert. Die Community Governance kann zu diesem aktuellen Thema der anwendungsorientierten Forschung bereits praxiserprobte Elemente beitragen., Value added communities of textile industries have traditionally developed as economically and socially networked structures. In front of today's turbulent environmental conditions, these freely grown structures have become ineffective and inefficient. They are no longer apt to face the challenges of the economy. At the same time, originating from these grown relationships is a potential, to actively meet these new challenges. For unleashing this potential however, the management of the communities' enterprises lacks the necessary means for creating better, and more flexible, structures, and it lacks the means facilitating co-operation and leadership within these structures. It is each enterprise's management duty, to adapt their perception of co-operation and coordination, and to seize the grown relationships as a chance. New organisational competences are required for actively managing co-operations in the future. Management must therefore enlarge their operational framework by deploying appropriate new means. Objective of the applied research work in advance to this thesis has been to develop and to practically prove a solution for a complex coordination problem of textile industry. The academic work presented here is intended to contribute to the knowledge-oriented management of those major types of networked co-operations in textile industries which presumably will prevail in the future. The thesis follows a constructive, integrative methodology, which allows to develop the postulated new means for management. They are setting new operational boundaries, and are intended to enable the partners of value added communities to actively shape their networked communities and to improve their co-operation within the communities. Hence, this thesis elaborates an architecture of networked value added communities of textile industries. This architecture lays the methodological foundation for knowledge-oriented management. For managing co-operation, modelling and coordination are of increased significance. Successful co-operation within networked value added relationships depends on the appropriate governance of the evolving new value added communities. Especially the character of cooperative operations creates communities, in which partners can create networks that constitute well-defined networked co-operations - within the networks, the partners are participating through different coordination mechanisms. In the first part of the thesis the co-operation within a real value added community of home textile industries is presented. Three basic problems are identified, first, the networking problem - dynamic networking of partnerships, second, the navigation problem - systematic orientation within complex relationship structures of a value added community, and third, the problem of shared knowledge - systematic opening of knowledge sources for co-operation. Objective is first, to introduce a new organisational concept, by establishing the adequate methodical basics and by deploying the appropriate technological tools, and second, to develop a concept for re-engineering the integration of the community partners with each other. Particularly, the characteristics featured by the new value added communities are explored. For governing the new communities, co-operation and coordination play a significant role. In this respect, the management concept of Community Governance is developed. Establishing Community Governance demands the positioning of community partners as Dynamically Networked Enterprises. Subsequently, the principal methodical procedure of a method for forming a community (Gestaltungsmethode) is presented as a governance project. A basis is laid by knowledge-oriented analysis and modelling of the value added community. The performed project, resulting in a governance concept for the community, as well as the means deployed during this project, are documented in detail. The second part of the thesis elaborates the newly developed means for management from a more general perspective. They provide practical instruments for the management of co-operation within communities. Consequently, a knowledge model as a Generic Framework for Knowledge-oriented Management can be formulated. This allows for a knowledge-oriented development and discussion of a general conceptual model of Community Governance. From the perspective of system theory and cybernetics, Community Governance is formulated in form of a complex hierarchical management (governance) system. With a forecast perspective, finally the potentials of Community Governance as a management concept for other evolving community structures like Breeding Environments, are discussed. It is shown that Community Governance can contribute crucial and practically proven elements to this current issue of applied research.
- Published
- 2007
- Full Text
- View/download PDF
13. So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
- Author
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Dwivedi, Yogesh K., Kshetri, Nir, Hughes, Laurie, Slade, Emma Louise, Jeyaraj, Anand, Kar, Arpan Kumar, Baabdullah, Abdullah M., Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S., Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W., Davies, Gareth H., Davison, Robert M., Dé, Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John S., Flavián, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R., Latreille, Paul, Laumer, Sven, Malik, F. Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Nord, Jeretta Horn, O’Connor, Siobhan, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O., Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P., Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwari, Manoj Kumar, van der Aalst, Wil M. P., Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, and Wright, Ryan
- Subjects
Conversational agent ,Artificial intelligence ,Large language model ,OpenAI ,Computer Networks and Communications ,Library and Information Sciences ,ChatGPT ,Generative AI ,Machine learning ,Reinforcement learning ,ddc:300 ,Generative artificial intelligence ,Large language models ,Information Systems - Abstract
International journal of information management 71, 102642 (2023). doi:10.1016/j.ijinfomgt.2023.102642, Published by Elsevier : Pergamon, Kidlington
14. Opinion Paper: 'So what if ChatGPT wrote it?' Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy.
- Author
-
Dwivedi, Yogesh K, Kshetri, Nir, Hughes, Laurie, Slade, Emma L, Jeyaraj, Anand, Kar, Arpan Kumar, Baabdullah, Abdullah M, Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S, Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence D, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W, Davies, Gareth H, Davison, Robert M, De', Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John S, Flavián, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris A, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R, Latreille, Paul, Laumer, Sven, Malik, F Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Nord, Jeretta Horn, O'Connor, Siobhán, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O, Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P, Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwari, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, Wright, Ryan, Dwivedi, Yogesh K, Kshetri, Nir, Hughes, Laurie, Slade, Emma L, Jeyaraj, Anand, Kar, Arpan Kumar, Baabdullah, Abdullah M, Koohang, Alex, Raghavan, Vishnupriya, Ahuja, Manju, Albanna, Hanaa, Albashrawi, Mousa Ahmad, Al-Busaidi, Adil S, Balakrishnan, Janarthanan, Barlette, Yves, Basu, Sriparna, Bose, Indranil, Brooks, Laurence D, Buhalis, Dimitrios, Carter, Lemuria, Chowdhury, Soumyadeb, Crick, Tom, Cunningham, Scott W, Davies, Gareth H, Davison, Robert M, De', Rahul, Dennehy, Denis, Duan, Yanqing, Dubey, Rameshwar, Dwivedi, Rohita, Edwards, John S, Flavián, Carlos, Gauld, Robin, Grover, Varun, Hu, Mei-Chih, Janssen, Marijn, Jones, Paul, Junglas, Iris A, Khorana, Sangeeta, Kraus, Sascha, Larsen, Kai R, Latreille, Paul, Laumer, Sven, Malik, F Tegwen, Mardani, Abbas, Mariani, Marcello, Mithas, Sunil, Mogaji, Emmanuel, Nord, Jeretta Horn, O'Connor, Siobhán, Okumus, Fevzi, Pagani, Margherita, Pandey, Neeraj, Papagiannidis, Savvas, Pappas, Ilias O, Pathak, Nishith, Pries-Heje, Jan, Raman, Ramakrishnan, Rana, Nripendra P, Rehm, Sven-Volker, Ribeiro-Navarrete, Samuel, Richter, Alexander, Rowe, Frantz, Sarker, Suprateek, Stahl, Bernd Carsten, Tiwari, Manoj Kumar, van der Aalst, Wil, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, and Wright, Ryan
- Abstract
Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts
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