The impact of artificial intelligence on healthcare insurances

Dutt, Rajeev

doi:10.1016/b978-0-12-818438-7.00011-3

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…Fast and Horvitz (2017) suggest that AI adoption drives innovation and opportunities for both employees and organizations to find better solutions to competitive threats with better technological progression (Gartner, 2017). When industry competitors adopt new innovations and technologies in their functional processes, every other firm in the particular market feels pressure that drives the adoption of technology to meet the competitive standards (Dutt, 2020; Neumann et al., 2023). Therefore, organizations that successfully adopt new technologies, such as AI, to improve their functional processes, products, or services will gain a competitive edge over their competitors.…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial intelligence adoption among human resource professionals: Does market turbulence play a role?

Islam,

Aldaihani,

Saatchi

2023

Glob Bus Org Exc

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Drawing from the Technology Acceptance Model (TAM) and Technology‐Organization‐Environment (TOE) framework, this study investigates the factors that influence the adoption of artificial intelligence (AI) among human resource (HR) professionals in the tourism organizations of Malaysia. Responses were collected from 389 HR employees working at tourism organizations. Based on a partial least squares‐structural equation modeling (PLS‐SEM) analysis, results revealed that perceived ease of use, perceived usefulness, technology competency, top management support, and competitive pressure have significantly positive impacts on AI adoption in the tourism industry in Malaysia. The study's contribution to the TAM and TOE models is the inclusion of market turbulence as a moderating factor, which has been found to be a significant moderator as it enhances the understanding of HR practitioners and others regarding the factors that are most influential in AI adoption among HR employees in the tourism industry. The model developed in this study highlights how market turbulence can foster the relationship between AI adoption and organizations. In addition to the managerial and theoretical implications, the study also discusses its limitations and outlines directions for future research.

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Section: Literature Reviewmentioning

confidence: 99%

Artificial intelligence adoption among human resource professionals: Does market turbulence play a role?

Islam,

Aldaihani,

Saatchi

2023

Glob Bus Org Exc

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“…Companies and organizations that use AI-based technologies have made data protection an object of constant attention. Recent scandals and issues in the healthcare industry, such as those discussed by Choudhury and Asan (2022) and Dutt (2020), indicate the prevalence of threats to individuals' security and safety regarding the use of AI may increase considerably in the future. For instance, Chapuis (2022) states that the cyber-attack carried out in May 2017, using the Wannacry virus, infected at least 200,000 personal computers in more than 150 countries.…”

Section: Healthcare Ethicsmentioning

confidence: 99%

The Impact and Implication of Artificial Intelligence on Thematic Healthcare and Quality of Life

Tmouche

2023

International Journal of Applied Research on Public Health Management

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Artificial intelligence (AI) in healthcare is utilized to define the application of machine learning (ML) technologies or algorithms to replicate human cognitive abilities regarding the understanding, presentation, and analysis of sophisticated medical procedures and healthcare information. This article discusses the impacts and implications of AI on QoL and healthcare. The thirty-two articles included in the dataset for this study were algorithmically retrieved through a systematic search on four multidisciplinary databases, including PubMed, JSTOR, ScienceDirect, and Medline. This thematic analysis identified and discussed the following themes: AI and sustainability; the potential risk of automation bias; healthcare ethics; AI and quality of life regarding security and safety; and bias in artificial intelligence technologies. Impact-related graphs of the different AI systems and healthcare dynamics are also included in the narrative. Population safety, security, racial bias, and proactive systems are identified as potential and perpetual challenges.

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“…Lusch and Nambisan (2015) also pointed out that the application of digital technology can play a role in enterprise technological innovation [9]. At the same time, technological innovation and changes in business models have also brought new management risks [10] and moral hazards to the insurance industry [11,12]. Wilamowicz (2019) also pointed out the need to strengthen research on InsurTech and pay attention to the regulation of InsurTech [13].…”

Section: Introductionmentioning

confidence: 99%

Research on InsurTech and the Technology Innovation Level of Insurance Enterprises

Liu

Zhang

et al. 2023

Sustainability

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New technologies are integrating and deeply influencing people’s work and life, and have become a key factor leading the continuous innovation of the insurance industry. The application of InsurTech has attracted widespread attention in the industry, and it is necessary to conduct in-depth deconstruction and analysis of its impact on insurance enterprise innovation to ensure the sustainability of technological innovation in insurance enterprises. Based on the panel data of Chinese insurance enterprises from 2011 to 2020, this paper empirically examines the relationship between InsurTech and enterprise technological innovation level and the mechanism of action by using the fixed effect model and the intermediary effect model. The empirical research results are as follows: (1) The development of InsurTech has significantly improved the technological innovation of insurance companies. (2) From the perspective of mechanism, InsurTech mainly improves the technological innovation level of insurance companies by alleviating financing constraints. (3) Furthermore, we also found significant differences in the promotional effect of InsurTech’s development on enterprises of different sizes and properties. At the same level of development, InsurTech has a greater and more significant “incentive effect” on the technological innovation level of non-state-owned enterprises and small and micro insurance enterprises. The research conclusion of this article not only enriches the literature on InsurTech and the technological innovation level of insurance companies, but also has significance for China’s insurance companies to help them formulate digital transformation policies and promote the “sustainable development” of technology empowerment insurance strategies.

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The impact of artificial intelligence on healthcare insurances

Cited by 11 publications

References 6 publications

Artificial intelligence adoption among human resource professionals: Does market turbulence play a role?

Artificial intelligence adoption among human resource professionals: Does market turbulence play a role?

The Impact and Implication of Artificial Intelligence on Thematic Healthcare and Quality of Life

Research on InsurTech and the Technology Innovation Level of Insurance Enterprises

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