Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Keywords

Pace, Transformative learning, Government (linguistics), Multidisciplinary approach, Supply chain

References

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• Sustainable Policy Making: A Strategic Challenge for Artificial IntelligenceMichela Milano, Barry O’Sullivan, Marco Gavanelli — 2014
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Cited by

• Machine Learning: An Applied Econometric ApproachSendhil Mullainathan, Jann Spiess — 2017
• The Institute of Coding: A University-Industry Collaboration to Address the UK’s Digital Skills CrisisJames H. Davenport, Tom Crick, Rachid Hourizi — 2019
• Fuzzy Similarity Used by Micro-Enterprises in Marketing Communication for Sustainable DevelopmentDavid Schüller, Karel Doubravský — 2019
• A novel architecture to identify locations for Real Estate InvestmentSandeep Kumar E, Viswanath Talasila, Ramkrishna Pasumarthy — 2021
• Achieving superior organizational performance via big data predictive analytics: A dynamic capability viewShivam Gupta, Vinayak A. Drave, Yogesh K. Dwivedi — 2019
• The impact of social media on consumer acculturation: Current challenges, opportunities, and an agenda for research and practiceHatice Kizgin, Bidit Lal Dey, Yogesh K. Dwivedi — 2020
• Deep strategic mediatization: Organizational leaders' knowledge and usage of social bots in an era of disinformationMarkus Wiesenberg, Ralph Tench — 2020
• Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?Jurgita Bruneckienė, Robertas Jucevičius, Ineta Zykienė — 2019
• Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennialsAnton Manfreda, Klara Ljubi, Aleš Groznik — 2019
• Information Evolution and OrganisationsPaul Walton — 2019
• Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster managementChao Fan, Cheng Zhang, Alex Yahja — 2021
• Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisationsRameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe — 2020
• Blockchain in the operations and supply chain management: Benefits, challenges and future research opportunitiesSamuel Fosso Wamba, Maciel M. Queiroz — 2020
• Beyond user experience: What constitutes algorithmic experiences?Donghee Shin, Bu Zhong, Frank Biocca — 2020
• Replication data for: Why Are There Still So Many Jobs? The History and Future of Workplace AutomationDavid H. Autor — 2019
• Machine learning based system for managing energy efficiency of public sector as an approach towards smart citiesMarijana Zekić–Sušac, Saša Mitrović, Adela Has — 2020
• Exploring Digital Government transformation in the EUEgidijus Barcevičius, Cibaitė Guonda, Cristiano Codagnone — 2019
• Is it just too good to be true? Unearthing the benefits of disruptive technologyPeter E.D. Love, Jane Matthews, Jingyang Zhou — 2020
• AI is multidisciplinaryVirginia Dignum — 2020
• AI safety: state of the field through quantitative lensMislav Juric, Agneza Sandic, Mario Brčić — 2020

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