Exploring Artificial Intelligence Utilizing BioArt

Simou, Panagiota; Tiligadis, Konstantinos; Alexiou, Athanasios

doi:10.1007/978-3-642-41142-7_69

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Recently, some research is investigating AI applications in specific fields (e.g., Simou, et al, 2013;Oyelude, 2017;Li, et al, 2017). Other research examines AI's theoretical foundations (Zou, 2015;Murphy, 2018) and its applications (Qiu, 2018;Kouziokas, 2017).…”

Section: Innovation Attributes Of Artificial Intelligence Adoption Ba...mentioning

confidence: 99%

Exploring the Impact of Managerial Capabilities on the Innovation Potential of Artificial Intelligence and Organizational Capabilities: A Literature Review

Odeibat

2023

REASER

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Cognitive business functions based on artificial intelligence (AI) have been utilized bybusinesses to enhance competitive advantage, performance, profitability, and economic growth. Given AI's innovation in organizational capability and managerial concerns, there is a limitation in the existing literature about managerial matters that clarify the indirect and direct effects of AI and the adopted technology and its impacts on the organization and the environment. As a necessary consequence, this article explores the impact of managerial capability on AI and organizational capability. This article addresses the subsequent research queries: What impact do the technical capabilities of AI have on managerial capabilities? Will managerial support affect managerial capability? What is the impact of the complexities of AI on managerial capabilities? To what extent does managerial capability have an impact on the compatibility of AI? In order to achieve the research objectives, a set of previous literature was reviewed and analyzed. As shown in the discussion section, by investigating the organizational capability and innovation attributes of AI, the findings of this research clarify the relationship between managerial capabilities and AI adoption.

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Section: Innovation Attributes Of Artificial Intelligence Adoption Ba...mentioning

confidence: 99%

Exploring the Impact of Managerial Capabilities on the Innovation Potential of Artificial Intelligence and Organizational Capabilities: A Literature Review

Odeibat

2023

REASER

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“…TTF model has been widely researched to examine the adoption of technology in areas like healthcare, big data, banking and finance and training management systems (Sharif et al , 2019; Tam and Oliveira, 2016). Also, numerous studies are conducted on TOE assessing the factors in successful AI implementation (Simou, 2013; Chang et al , 2007) at the individual level in various domains (Li et al , 2017; Oyelude, 2017; Qiu, 2018). However, there is paucity of research on AI in HRM (Alsheibani et al , 2018).…”

Section: Theoretical Foundationmentioning

confidence: 99%

AI adoption by human resource management: a study of its antecedents and impact on HR system effectiveness

Agarwal

2022

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Purpose The purpose of this study is to explore and examine the determinants of artificial intelligence (AI) adoption by human resource management (HRM). Further, the impact of AI adoption by HR department on their effectiveness has also been tested. Design/methodology/approach A model explaining the antecedents of AI adoption by HRM is proposed in this study. The proposed model is based on task–organization–environment and task–technology fit models. A two-step partial least square-based structural equational modelling (PLS-SEM) has been used for testing the model. Data was collected from 210 HRM employees (only senior level or specialized HR positions), working in IT firms located in Delhi-NCR region. Findings Literature review shows that among others, organizational preparedness, perceived benefits and technology readiness determine AI adoption which in turn can make HR system more effective. Results of PLS-SEM support all hypothesized relationships and validate the proposed model. Originality/value Considering paucity of research on antecedents of AI adoption by human resource department, this study adds significantly to the body of knowledge. Additionally, based on the findings of statistical analysis, certain AI-related recommendations are given to HRM.

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Artificial Humanoid for the Elderly People

Simou

Alexiou

Tiligadis

2014

Advances in Experimental Medicine and Biology

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While frailty and other multi-scale factors have to be correlated during a geriatric assessment, few prototype robots have already been developed in order to measure and provide real-time information, concerning elderly daily activities. Cognitive impairment and alterations on daily functions should be immediate recognized from caregivers, in order to be prevented and probably treated. In this chapter we recognize the necessity of artificial robots during the personal service of the elderly population, not only as a mobile laboratory-geriatrician, but mainly as a socialized digital humanoid able to develop social behavior and activate memories and emotions.

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Exploring Artificial Intelligence Utilizing BioArt

Cited by 4 publications

References 9 publications

Exploring the Impact of Managerial Capabilities on the Innovation Potential of Artificial Intelligence and Organizational Capabilities: A Literature Review

Exploring the Impact of Managerial Capabilities on the Innovation Potential of Artificial Intelligence and Organizational Capabilities: A Literature Review

AI adoption by human resource management: a study of its antecedents and impact on HR system effectiveness

Artificial Humanoid for the Elderly People

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