24 results on '"Davies, Gareth H"'
Search Results
2. Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse
- Author
-
Dwivedi, Yogesh K., Kshetri, Nir, Hughes, Laurie, Rana, Nripendra P., Baabdullah, Abdullah M., Kar, Arpan Kumar, Koohang, Alex, Ribeiro-Navarrete, Samuel, Belei, Nina, Balakrishnan, Janarthanan, Basu, Sriparna, Behl, Abhishek, Davies, Gareth H., Dutot, Vincent, Dwivedi, Rohita, Evans, Leighton, Felix, Reto, Foster-Fletcher, Richard, Giannakis, Mihalis, Gupta, Ashish, Hinsch, Chris, Jain, Animesh, Jane Patel, Nina, Jung, Timothy, Juneja, Satinder, Kamran, Qeis, Mohamed AB, Sanjar, Pandey, Neeraj, Papagiannidis, Savvas, Raman, Ramakrishnan, Rauschnabel, Philipp A., Tak, Preeti, Taylor, Alexandra, tom Dieck, M. Claudia, Viglia, Giampaolo, Wang, Yichuan, and Yan, Meiyi
- Published
- 2023
- Full Text
- View/download PDF
3. 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 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, Venkatesh, Viswanath, Viglia, Giampaolo, Wade, Michael, Walton, Paul, Wirtz, Jochen, and Wright, Ryan
- Published
- 2023
- Full Text
- View/download PDF
4. RETRACTED ARTICLE: Modelling product lines diffusion: a framework incorporating competitive brands for sustainable innovations
- Author
-
Aggrawal, Deepti, Anand, Adarsh, Bansal, Gunjan, Davies, Gareth H., Maroufkhani, Parisa, and Dwivedi, Yogesh K.
- Published
- 2022
- Full Text
- View/download PDF
5. “Real impact”: Challenges and opportunities in bridging the gap between research and practice – Making a difference in industry, policy, and society
- Author
-
Dwivedi, Yogesh K., primary, Jeyaraj, Anand, additional, Hughes, Laurie, additional, Davies, Gareth H., additional, Ahuja, Manju, additional, Albashrawi, Mousa Ahmed, additional, Al-Busaidi, Adil S., additional, Al-Sharhan, Salah, additional, Al-Sulaiti, Khalid Ibrahim, additional, Altinay, Levent, additional, Amalaya, Shem, additional, Archak, Sunil, additional, Ballestar, María Teresa, additional, Bhagwat, Shonil A., additional, Bharadwaj, Anandhi, additional, Bhushan, Amit, additional, Bose, Indranil, additional, Budhwar, Pawan, additional, Bunker, Deborah, additional, Capatina, Alexandru, additional, Carter, Lemuria, additional, Constantiou, Ioanna, additional, Coombs, Crispin, additional, Crick, Tom, additional, Csáki, Csaba, additional, Darnige, Yves, additional, Dé, Rahul, additional, Delbridge, Rick, additional, Dubey, Rameshwar, additional, Gauld, Robin, additional, Gutti, Ravi Kumar, additional, Hattingh, Marié, additional, Haug, Arve, additional, Hendricks, Leeya, additional, Hino, Airo, additional, Hsu, Cathy H.C., additional, Iivari, Netta, additional, Janssen, Marijn, additional, Jebabli, Ikram, additional, Jones, Paul, additional, Junglas, Iris, additional, Kaushik, Abhishek, additional, Khazanchi, Deepak, additional, Kodama, Mitsuru, additional, Kraus, Sascha, additional, Kumar, Vikram, additional, Maier, Christian, additional, Malik, Tegwen, additional, Matthee, Machdel, additional, McCarthy, Ian P., additional, Meier, Marco, additional, Metri, Bhimaraya, additional, Micu, Adrian, additional, Micu, Angela-Eliza, additional, Misra, Santosh K., additional, Mishra, Anubhav, additional, Molin-Juustila, Tonja, additional, Oppermann, Leif, additional, O’Regan, Nicholas, additional, Pal, Abhipsa, additional, Pandey, Neeraj, additional, Pappas, Ilias O., additional, Parker, Andrew, additional, Pathak, Kavita, additional, Pienta, Daniel, additional, Polyviou, Ariana, additional, Raman, Ramakrishnan, additional, Ribeiro-Navarrete, Samuel, additional, Ritala, Paavo, additional, Rosemann, Michael, additional, Sarker, Suprateek, additional, Saxena, Pallavi, additional, Schlagwein, Daniel, additional, Schultze, Hergen, additional, Sharma, Chitra, additional, Sharma, Sujeet Kumar, additional, Simintiras, Antonis, additional, Singh, Vinay Kumar, additional, Smuts, Hanlie, additional, Soldatos, John, additional, Tiwari, Manoj Kumar, additional, Thatcher, Jason Bennett, additional, Vanberghen, Cristina, additional, Varga, Ákos, additional, Vassilakopoulou, Polyxeni, additional, Venkatesh, Viswanath, additional, Viglia, Giampaolo, additional, Vorley, Tim, additional, Wade, Michael, additional, and Walton, Paul, additional
- Published
- 2024
- Full Text
- View/download PDF
6. Collaborating to deliver value in health care: exploring conditions required for successful healthcare and life science sector collaboration
- Author
-
Rees, Daniel J., Bates, Victoria, Thomas, Roderick A., Brooks, Simon B., Laing, Hamish, Davies, Gareth H., Williams, Michael, Phillips, Leighton, and Dwivedi, Yogesh K.
- Published
- 2021
- Full Text
- View/download PDF
7. On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment
- Author
-
Bacon, Emily, Williams, Michael D., and Davies, Gareth H.
- Published
- 2021
- Full Text
- View/download PDF
8. Recipes for success: Conditions for knowledge transfer across open innovation ecosystems
- Author
-
Bacon, Emily, Williams, Michael D., and Davies, Gareth H.
- Published
- 2019
- Full Text
- View/download PDF
9. “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 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
10. Exploring the Darkverse: a multi-perspective analysis of the negative societal impacts of the Metaverse
- Author
-
Dwivedi, Yogesh K, Kshetri, Nir, Hughes, Laurie, Rana, Nripendra P, Baabdullah, Abdullah M, Kar, Arpan Kumar, Koohang, Alex, Ribeiro-Navarrete, Samuel, Bele, Nina, Balakrishnan, Janarthanan, Basu, Sriparna, Behl, Abhishek, Davies, Gareth H, Duto, Vincent, Dwivedi, Rohita, Evans, Leighton, Felix, Reto, Foster-Fletche, Richard, Giannakis, Mihalis, Gupta, Ashish, Hinsch, Chris, Jain, Animesh, Pate, Nina Jane, Jung, Timothy, Juneja, Satinder, Kamra, Qeis, Mohamed AB, Sanjar, Pandey, Neeraj, Papagiannidis, Savvas, Raman, Ramakrishnan, Rauschnabel, Philipp A, Tak, Preeti, Taylor, Alexandra, tom Dieck, M Claudia, Viglia, Giampaolo, Wang, Yichuan, Yan, Meiyi, Dwivedi, Yogesh K, Kshetri, Nir, Hughes, Laurie, Rana, Nripendra P, Baabdullah, Abdullah M, Kar, Arpan Kumar, Koohang, Alex, Ribeiro-Navarrete, Samuel, Bele, Nina, Balakrishnan, Janarthanan, Basu, Sriparna, Behl, Abhishek, Davies, Gareth H, Duto, Vincent, Dwivedi, Rohita, Evans, Leighton, Felix, Reto, Foster-Fletche, Richard, Giannakis, Mihalis, Gupta, Ashish, Hinsch, Chris, Jain, Animesh, Pate, Nina Jane, Jung, Timothy, Juneja, Satinder, Kamra, Qeis, Mohamed AB, Sanjar, Pandey, Neeraj, Papagiannidis, Savvas, Raman, Ramakrishnan, Rauschnabel, Philipp A, Tak, Preeti, Taylor, Alexandra, tom Dieck, M Claudia, Viglia, Giampaolo, Wang, Yichuan, and Yan, Meiyi
- Abstract
The Metaverse has the potential to form the next pervasive computing archetype that can transform many aspects of work and life at a societal level. Despite the many forecasted benefits from the metaverse, its negative outcomes have remained relatively unexplored with the majority of views grounded on logical thoughts derived from prior data points linked with similar technologies, somewhat lacking academic and expert perspective. This study responds to the dark side perspectives through informed and multifaceted narratives provided by invited leading academics and experts from diverse disciplinary backgrounds. The metaverse dark side perspectives covered include: technological and consumer vulnerability, privacy, and diminished reality, human-computer interface, identity theft, invasive advertising, misinformation, propaganda, phishing, financial crimes, terrorist activities, abuse, pornography, social inclusion, mental health, sexual harassment and metaverse-triggered unintended consequences. The paper concludes with a synthesis of common themes, formulating propositions, and presenting implications for practice and policy.
- Published
- 2023
11. Innovation in Practice: Developing a coherent health and social care innovation ecosystem, as part of implementing an Innovation Strategy for Wales.
- Author
-
James, Tom, Rees, Daniel J., Thomas, Roderick A., Davies, Gareth H., Miller, Edward, and Rinaldi, Lisa
- Subjects
MEDICAL innovations ,STRATEGIC planning ,BUSINESS ecosystems ,COVID-19 pandemic - Abstract
This paper discusses the development of a new Innovation Strategy, to shape the health and social care innovation ecosystem in Wales. The last decade has seen significant development in the innovation infrastructure, but there is a need for better alignment, strategic leadership, and innovation adoption and funding. The innovation strategy aims to create a culture of innovation at all levels of the health and social care system, generating innovation ‘pull’ from health and care organizations working with a dynamic external innovation environment providing innovation ‘push’. This innovation ecosystem will support NHS and Social Care Wales in delivering their pandemic recovery strategies, identifying opportunities to lever additional funding and better support the adoption of innovation at scale. Improved coordination and alignment of existing initiatives, partners, and platforms will lead to greater innovation impact, value and reach. [ABSTRACT FROM AUTHOR]
- Published
- 2023
12. The Underlying Complexities Impacting Accelerator Decision Making—A Combined Methodological Analysis
- Author
-
Donne, Kelvin E., primary, Hughes, David L., additional, Williams, Michael D., additional, and Davies, Gareth H., additional
- Published
- 2023
- Full Text
- View/download PDF
13. On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment.
- Author
-
Bacon, Emily, Williams, Michael D., and Davies, Gareth H.
- Subjects
KNOWLEDGE transfer ,GREEN infrastructure ,KNOWLEDGE management ,INFORMATION sharing ,DIGITAL transformation ,SEMI-structured interviews ,ECOSYSTEMS - Abstract
Organisations are increasingly creating inter-organisational ecosystem partnerships to innovate openly. Despite effective knowledge management significantly supporting ecosystem infrastructures, empirical insights into the importance of and interdependencies between conditions for successful knowledge exchange across ecosystem contexts remain unexplored within existing literature. This study implements a mixed-method approach to ascertain which conditions are responsible for knowledge transfer success across innovation ecosystems. Interpretive Structural Modelling was employed to analyse questionnaires with key ecosystem stakeholders, in order to impose a hierarchical structure upon the conditions. The configurational nature of these conditions, and their combinations into solutions for success was ascertained through analysing semi-structured interviews using fuzzy-set Qualitative Comparative Analysis. Results reveal multiple, mutually exclusive pathways to knowledge transfer success, grouped into three solution types, increasing understanding of the interrelated nature of the knowledge transfer conditions. Limitations and implications for future research are provided. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
14. Modelling product lines diffusion: a framework incorporating competitive brands for sustainable innovations
- Author
-
Aggrawal, Deepti, primary, Anand, Adarsh, additional, Bansal, Gunjan, additional, Davies, Gareth H., additional, Maroufkhani, Parisa, additional, and Dwivedi, Yogesh K., additional
- Published
- 2022
- Full Text
- View/download PDF
15. Collaborating to deliver value in health care: exploring conditions required for successful healthcare and life science sector collaboration
- Author
-
Rees, Daniel J., primary, Bates, Victoria, additional, Thomas, Roderick A., additional, Brooks, Simon B., additional, Laing, Hamish, additional, Davies, Gareth H., additional, Williams, Michael, additional, Phillips, Leighton, additional, and Dwivedi, Yogesh K., additional
- Published
- 2020
- Full Text
- View/download PDF
16. Knowledge Transfer in Innovation Ecosystems Semi-Structured Interview
- Author
-
Bacon, Emily, primary, Williams, Michael D., additional, and Davies, Gareth H., additional
- Published
- 2019
- Full Text
- View/download PDF
17. Examining the antecedents and consequences of employee engagement on temporary agency workers in a partner-led environment
- Author
-
Roderick, Sian, Dennehy, Denis, Davies, Gareth H., and Williams, Michael D.
- Abstract
The recent Covid-19 pandemic highlighted the increasing reliance of organisations on temporary agency workers (TAWs) to survive in business environments that are characterised as being temporal, unpredictable, and cyclical. Temporary workforces are growing in popularity as it offers flexibility and independence for both employees and the employer (i.e., The Client). At the same time, the recruitment industry has witnessed significant growth and heightened competition to source reliable, high-quality TAWs as this niche cohort of the workforce underpin the successful performance and outcomes of both agency and client. Despite the increasing number of TAWs and their significant contributions to sustaining competitive advantage and economic growth, extant literature on employee engagement of TAWs to date is rather limited. Also, what research does exist is rather limited as seminal research focused on employee engagement of full time employees, rather than any rigorous examination of engagement with TAWs who operate in turbulent and constantly changing 'real world' business environments. This study addresses this gap in knowledge by "examining employee engagement from the perspective of the TAWs to identify the influence and implications of job and organisation engagement". This study draws on an exemplar case study of a well-known large UK retailer (i.e., The Client) that operates a distribution warehouse and employs TAWs who are sourced through three recruitment agencies. A review of seminal literature provides the theoretical base for the antecedents and proposed outcomes of employee engagement to inform the proposed research model to capture the perceptions of TAW engagement at The Client organisation. A self-completion questionnaire was completed by 277 TAWS and the research model was tested using partial least squares structural equation modelling (PLS-SEM) and SmartPLS v.4. The findings challenge two long-held assumptions about employee engagements First, job engagement and organisation engagement are two significantly distinct constructs that have implications for The Client organisation. Second, experiences of employee engagement for TAWs differ from that of traditional employees as they are heavily reliant on The Client organisation's ability to support, value and embed them into the workforce and wider mission of the organisation.
- Published
- 2023
- Full Text
- View/download PDF
18. 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 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
19. 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
20. The development of Knowledge Transfer and Technology Transfer with Port Talbot Waterfront Enterprise Zone
- Author
-
Bourne, James, Davies, Gareth H., and Rees, Daniel J.
- Abstract
Wales has recently seen a concerted attempt by the Government, Academia, and Industry to transform into a knowledge-based economy through increased collaboration across these three sectors. Industry and Academia must share knowledge and technology to assist regional growth. Key to this change has been the emergence of policy-led programmes like Enterprise Zones to catalyse regional growth by focusing support on a specified area. Such efforts to foster innovation in a region have been contested. Can Enterprise Zones benefit from university innovation in Wales? The Port Talbot Waterfront Enterprise Zone is a unique illustration of how Enterprise Zones foster regional progress. This study used a qualitative, Action Research approach to map the South West Wales Port Talbot Waterfront Enterprise Zone's context. This involved identifying key issues that impact Knowledge and Technology Transfer in the region to identify barriers and possibilities. A careful evaluation of the literature and policy contexts revealed initial focus areas of interest to test throughout the investigation. Interviews were conducted in Academia, Industry, and Government to understand people's experiences and identify enablers and barriers to knowledge and technology transfer. The research findings give examples of regional knowledge and technology initiatives and suggested areas for improvement that might help South West Wales and the Port Talbot Waterfront Enterprise Zone promote these activities in the future. This analysis finds that stronger collaboration between Academia and projects like the Port Talbot Waterfront Enterprise Zone would boost South West Wales' knowledge and technology transfer potential. The Port Talbot Waterfront Enterprise Zone gives a chance to foster Industry, Academic, and Government collaborations. This would minimise the 'University Structure' barrier by allowing Academic stakeholders to work with Industry in a neutral setting. This thesis helps Academics and practitioners understand and create innovation in post-industrial regions.
- Published
- 2022
- Full Text
- View/download PDF
21. Talent Bank : an innovative STEM intervention to develop the next generation of life science talent in the south-west region of Wales
- Author
-
Wilson-Smith, Beverley, Lloyd, Keith, Davies, Gareth H., and Joyce, Naomi S.
- Abstract
The rationale for the qualitative study was initiated from recommendations of the Life Science Skills for Life (2014) regional study, identifying the need for a talent pool to support the region's life science sector. A literature review identified further research needs of experiential learning design in integrated STEM interventions, particularly in further education contexts. The study explores stakeholder perspectives from employers, educators and student participants aged 16-19 years. The study was conducted over three action cycles between 2014 and 2018 iteratively identifying the talent requirements, intervention design and implementation. The intervention utilised an experiential education pedagogy in the course design with a set of features including masterclasses, industry challenges, mentoring, company visits, work experience and a set of skills strands as the main experiential learning opportunities. The aim of Talent Bank was to increase student interest and awareness of the life science sector and its STEM career opportunities in the south west region of Wales. Five collection instruments were used to collect the data and thematic analysis revealed the following findings: The Talent Bank model raised awareness and understanding of the life science sector and its career opportunities; stakeholders from the life science ecosystem willingly supported the delivery of the programme to ensure a dynamic, relevant and authentic learning experience; most participants indicated they would consider future employment in the life sciences or STEM related sectors having improved their reflexive practice habits, skills and individual profiles; the action research identified the perceptions of three stakeholder groups that could influence curricula development practice. The Talent Bank model represents an approach to developing a pipeline of the next generation of talent to serve the evolving needs of the life science sector. The researcher developed her own professional practice and craft as an action researcher in the development of the Talent Bank model.
- Published
- 2022
- Full Text
- View/download PDF
22. Feline groovy
- Author
-
Davies, Gareth Huw
- Published
- 1994
23. A view to a kill
- Author
-
Davies, Gareth Huw
- Published
- 1992
24. Saved by the floods
- Author
-
Davies, Gareth Huw
- Published
- 1990
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.