How AI Is Changing the Insurance Landscape

Corea, Francesco

doi:10.1007/978-3-319-77252-3_2

Cited by 14 publications

(14 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…23 AI: The artificial intelligence technology platform can gradually solve the problem that tacit knowledge of engineering project teams is not easy to transfer. 24 VR: That is, the virtual reality technology platform. More and more scientific research evidence shows that if head-up users can move freely, the creation of empathy in virtual reality will be more successful.…”

Section: Technology Platformmentioning

confidence: 99%

Ambidextrous learning of engineering project team: Relying on control or BIM AI VR AR MR?

Yang

Cui

2020

International Journal of Engineering Business Management

View full text Add to dashboard Cite

Through formal control and social control, technology platforms can acquire the information knowledge needed for ambidextrous learning of engineering project team, but whether technology platforms influence ambidextrous learning of engineering project team through the intermediary role of ambidextrous control (formal control, social control) is still lack of theoretical and empirical support. In order to explore the influence of the co-use of technology platform and ambidextrous control on the ambidextrous learning of engineering project team, this paper constructs a theoretical framework between the performance of ambidextrous control (formal control, social control) and different types of technology platform (BIM, AI, VR, AR, MR) and different types of learning (exploratory learning, exploitative learning). A questionnaire survey was conducted among 210 project managers. AMOS22.0 and bootstrap software were used for analysis and test, SPSS22.0 was used for hierarchical regression analysis, the results of hierarchical regression analysis show that formal control, social control and the balanced use of both have significant positive correlation with the ambidextrous learning and balanced use of ambidextrous learning of engineering project team. Formal Information Technology Platform (BIM) and Informal Information Technology Platform (AI, VR, AR, MR) have significant positive effects on the ambidextrous learning of engineering project team. The balanced use of formal Information Technology Platform (BIM) and informal Information Technology Platform (AI, AR) has significant positive effects on the ambidextrous learning balance of engineering project team. Formal control and social control mediate the positive correlation between information technology platform (BIM, AI, VR, AR, MR) and ambidextrous learning of engineering project team. In addition, information technology platform (BIM, AI, VR) regulates the impact of formal control and social control on learning (exploratory learning, exploitative learning). Generally speaking, different types of technology platforms and ambidextrous control strategies are still effective for the ambidextrous learning and balance of engineering project team.

show abstract

Section: Technology Platformmentioning

confidence: 99%

Ambidextrous learning of engineering project team: Relying on control or BIM AI VR AR MR?

Yang

Cui

2020

International Journal of Engineering Business Management

View full text Add to dashboard Cite

show abstract

“…As an outcome, we will most likely to see a much-needed advancement of the marketplaces: more rapidly marketplaces, thinner set-ups and procedures, vivacious trades and businesses, mounting returns, well versed and up-to-date customers, and vigorous and selfmotivated businesses (Jarke & Radermacher, 1988, Scheer et al, 2012. On the consequence, better product provide more data and more users (Corea, 2019a, Ciuriak, 2019, Agarwal et al, 2020. This is called arti cial intelligence cycle.…”

Section: Business Model Transformationmentioning

confidence: 99%

“…While AI and Hologram has the latent to renovate businesses, state-of-the-art business models, and trade across the globe (Benkler, 2019, Corea, 2019a. Trepidations ensuing in xenophobic data practices and confrontation to partaking data, information and knowledge may prevent its prospective.…”

Section: Business Model Transformationmentioning

confidence: 99%

“…The increasing weaponization of arti cial intelligence (AI) has made security a life-threatening issue across the globe (Benkler, 2019, Clark et al, 2019, Corea, 2019a, El-Najdawi et al, 1993. AI is presently an extent where virtually no rules of rendezvous put on, and each nation will surface teething troubles in making security from algorithms and de ning cyber global regulation (Kearney, 2002 As the future of AI-driven digital business revolution is strictly tied to how countries accomplish their substantial data driven competences from across cyberspace, aqua space, and aerospace (Hedberg, 1996, Giotopoulos et al, 2012, Shan et al, 2019).…”

Section: Security and Privacy Terrorizationsmentioning

confidence: 99%

“…Arti cial intelligence (AI) has been changing businesses as proven by Airbnb, Ola, Uber, Flip cart, e-Bay, Amazon, Mantra etc and other enterprises that have incorporated its use to instrument state-of-the-art business models (Fountaine, et al, 2019, Mishra et al, 2019, 2019a, 2020a, 2020b. This embryonic and quickly advancing technology impacts digital platform business model innovation (Arnold et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

AI Business Model: An Integrative Business Approach

Mishra

Tripathi

2020

Preprint

View full text Add to dashboard Cite

Artificial Intelligence is the ecosphere’s prevalent and most comprehensive general knowledge and common-sense cognitive engine. The Artificial Intelligence (AI) business platform model is virtually at affluence with cloud SaaS model. It concerns AI solutions that can work together on top layer of the other digital systems, like a Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) business system. AI admittances in digital data fluid through these coordination, fueling business enhancements over phase. In this business model, the business will safekeeping a recurrent subscription. This study endeavors to emphasis on the preemptive side of the use of AI and Machine learning (ML) technology to enterprise digital platform business model innovation and business dynamics.

show abstract

Autonomous Vehicles, Artificial Intelligence, Risk and Colliding Narratives

Cunneen

2023

Studies in Applied Philosophy, Epistemology and Rational Ethics

View full text Add to dashboard Cite

How AI Is Changing the Insurance Landscape

Cited by 14 publications

References 0 publications

Ambidextrous learning of engineering project team: Relying on control or BIM AI VR AR MR?

Ambidextrous learning of engineering project team: Relying on control or BIM AI VR AR MR?

AI Business Model: An Integrative Business Approach

Autonomous Vehicles, Artificial Intelligence, Risk and Colliding Narratives

Contact Info

Product

Resources

About