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Article
Computer Science, Information Systems
Mohammad Merhi
Summary: This article fills the research gap in identifying the most significant barriers to responsible AI and categorizes them into three categories. The results show that technology is the most important category, and data quality is the most vital barrier. In addition, the article offers 11 propositions as theoretical contributions for future researchers.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Engineering, Industrial
Grazia Dicuonzo et al.
Summary: Artificial intelligence (AI) plays an increasingly important role in healthcare by generating and analyzing data, improving patient care, reducing costs and risks, and enhancing administrative processes. Implementing AI systems can optimize healthcare resources, improve patient experience, enhance population health, reduce costs, and increase satisfaction among health professionals.
Review
Cell Biology
Bingxin Ma et al.
Summary: The ageing population has resulted in an increased use of artificial intelligence (AI) technologies in elderly healthcare globally. However, there is currently a lack of clarity regarding the types and roles of AI technologies in elderly healthcare. This scoping review aimed to provide a comprehensive overview of AI technologies in elderly healthcare by examining the types of AI technologies employed and identifying their roles based on existing studies. The review found that AI devices used in elderly healthcare included robots, exoskeleton devices, intelligent homes, AI-enabled health applications and wearables, voice-activated devices, and virtual reality. The roles of AI technologies identified were rehabilitation therapists, emotional supporters, social facilitators, supervisors, and cognitive promoters. The results showed that AI technologies have a promising impact on elderly healthcare, meeting the unmet care needs of older adults and demonstrating great potential for further development in this field. Future well-designed randomized controlled trials are needed to validate the roles of AI technologies in elderly healthcare.
AGEING RESEARCH REVIEWS
(2023)
Article
Business
Suresh Malodia et al.
Summary: This study aims to conceptualize open innovation and identify its antecedents and outcomes. Using qualitative research methods, a conceptual framework is proposed based on data collected from 47 SMEs and startups. The study highlights the importance of open innovation for firm performance and suggests practical implications for entrepreneurial ventures and policymakers.
INTERNATIONAL JOURNAL OF ENTREPRENEURIAL BEHAVIOR & RESEARCH
(2023)
Article
Management
Amit Kumar et al.
Summary: This research study aims to explore the technostress phenomenon at an organizational level from machine learning (ML) and artificial intelligence (AI) deployment. The results indicated that role ambiguity, job insecurity, and the technology environment contribute to technostress because of ML and AI technologies deployment. The integration of ML and AI automation-augmentation interdependence, along with socio-technical systems, can be effectively used for technostress management at the organizational level.
INTERNATIONAL JOURNAL OF ORGANIZATIONAL ANALYSIS
(2023)
Article
Engineering, Industrial
Umesh Bamel et al.
Summary: The focus on healthcare and digital transformation in the past two decades, intensified by the COVID-19 pandemic, has led to a large volume of literature. This has created both enrichment and confusion, calling for a need to make sense of the achievements and contribute more meaningfully to theory and practice. In response to this need, the existing empirical research on disruptive digital innovations in healthcare was systematically analyzed and evaluated. The outcome of the review is a conceptual framework that can guide future research and provide recommendations for advancing the field.
Article
Business
Anushree Tandon et al.
Summary: Academic research has highlighted the importance of using mobile health interventions to support cancer patients and survivors in managing their health. However, there is a lack of clarity and fragmented knowledge on these interventions. This article provides a comprehensive review of existing literature, identifying key areas of discussion and gaps in knowledge.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Management
Michael Christofi et al.
Summary: The COVID-19 pandemic has forced family businesses to respond strategically in order to survive, as it is a consensus crisis with profound effects on societies and economies globally. Through in-depth interviews with owner-managers of small family businesses in Cyprus, we examine the role of their emotions in the strategic response to the pandemic. Our findings show that owner-managers have experienced mainly negative emotions during the pandemic, including higher levels of stress, insecurity, fear, and doubt. By reflecting on these emotions, owner-managers can activate affective mechanisms and apply a stewardship logic in their strategic responses.
JOURNAL OF SMALL BUSINESS MANAGEMENT
(2023)
Review
Biochemistry & Molecular Biology
Pranav Rajpurkar et al.
Summary: This Review discusses the potential of AI to reshape medicine and make healthcare more accurate, efficient, and accessible. It covers recent progress in medical AI, including advances in medical image analysis, non-image data sources, and human-AI collaboration. The article also addresses technical and ethical challenges, such as data scarcity and racial bias.
Review
Health Policy & Services
Ahmad Khanijahani et al.
Summary: This review study aimed to identify and document the organizational, professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) in healthcare. The results showed that perceived ease of use or usefulness, performance or effort expectancy, and social influence were major influential factors among healthcare professionals and patients.
HEALTH POLICY AND TECHNOLOGY
(2022)
Article
Psychology, Multidisciplinary
Kaifeng Liu et al.
Summary: This study investigated the roles of trust and three AI-specific characteristics in public acceptance of smart healthcare services based on an extended Technology Acceptance Model, with results showing the importance of perceived usefulness, perceived ease of use, and AI-specific characteristics in shaping public acceptance. The study also demonstrated the critical roles of personalization, loss of privacy, and anthropomorphism in shaping public trust and acceptance of smart healthcare services, offering important theoretical and practical implications for the design and implementation of such services.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Review
Public, Environmental & Occupational Health
Haytham Siala et al.
Summary: As artificial intelligence (AI) becomes more applicable and technologically advanced in healthcare, various ethical concerns have emerged. Despite the growing interest in AI ethics, responsibly implementing AI-related technologies and initiatives in healthcare settings remains challenging. This article reviews 253 articles on AI ethics in healthcare published between 2000 and 2020, and proposes a responsible AI initiative framework based on five core themes: Sustainability, Human-centeredness, Inclusiveness, Fairness, and Transparency (SHIFT). The article also discusses key issues and challenges in responsible AI use in healthcare, and suggests future research directions.
SOCIAL SCIENCE & MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
A. M. Oprescu et al.
Summary: This article explores the application of Artificial Intelligence in the field of Gynecology and Obstetrics. Through interviews with pregnant women, the study reveals a strong interest in intelligent pregnancy solutions and a high demand for personalized intelligent solutions. It also finds that pregnant women are more likely to share their pregnancy data when the healthcare provider is a public healthcare system. Additionally, pregnant women who are interested in using an AI pregnancy application prioritize responsibility, trustworthiness, usefulness, and safety.
INFORMATION FUSION
(2022)
Review
Computer Science, Information Systems
Antonio Martinez-Millana et al.
Summary: Artificial intelligence is being used in the domains of universal health coverage, health emergencies, and better health and wellbeing. However, the evidence for these applications is often limited to laboratory settings, and there are concerns about the poor methodological quality and high risk of bias in the reviewed studies, which affect the reproducibility and reliability of translating these applications to real clinical scenarios.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Business
Sanjay Chaudhary et al.
Summary: This study explores the paradoxes and coping mechanisms that product manufacturers face during the transition towards servitisation. It reveals three broad paradoxes and identifies four coping practices. The study contributes to the literature by developing a conceptual framework that elucidates the coexistence of multiple paradoxes and coping mechanisms.
INDUSTRIAL MARKETING MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Alessandra Angelucci et al.
Summary: This article discusses the application of AI fairness in corporate wellness programs, presents four key stakeholders and three aspects of fairness, and discusses possible unfairness.
Review
Business
Changhun Lee et al.
Summary: This study identified and described 31 research and application issues related to Industry 4.0, and proposed a framework for convergence in Industry 4.0. The research outcomes were consistent with existing discussions on Industry 4.0, validating the utility of the data-driven approach. This work helps establish a common understanding of Industry 4.0 and enables further research and development for industrial innovation and social advance.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Business
Ross Gruetzemacher et al.
Summary: Forecasting AI progress is crucial for reducing uncertainty and planning research efforts on AI safety and governance. Expert opinions on prioritized questions and methods for forecasting AI progress were collected using the Delphi technique, highlighting the diversity of methods to consider and the importance of validation, action-guiding forecasts, and performance metric quality. While statistical methods show promise, there is recognition of the benefits of supplementing with judgmental techniques.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Business
Sang M. Lee et al.
Summary: This study examines the opportunities and challenges of contactless healthcare services in the post-COVID-19 era, indicating a new hybrid healthcare model will emerge in the future. It suggests a focus on the opportunities and challenges of contactless services in practice.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Article
Environmental Sciences
Aarthi Raghavan et al.
Summary: Governments are increasingly turning to cloud computing to improve healthcare quality, reduce economic burden, and address healthcare challenges effectively. Successful examples from advanced Asian countries demonstrate the potential of cloud computing in developing nationwide health databases, real-time health monitoring, and driving economic growth through healthcare innovations.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yoganand Balagurunathan et al.
Summary: The digital information age has sparked renewed interest in artificial intelligence, specifically machine learning methods. While these methods have been utilized in medical sciences, there are significant barriers such as curated data sets, model interpretation, and reproducibility, which have hindered widespread adoption in improving patient care.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Health Care Sciences & Services
Yaru Chen et al.
Summary: The study found differences in awareness and knowledge of AI between radiographers and radiologists, with radiologists receiving more information through professional networks, conferences, and industry contacts, while radiographers rely more on personal networks. Both groups have different views on the potential of AI to address workforce shortages, with radiologists seeing it as a way to focus on more complex tasks, while radiographers are more concerned about the impact on their roles and skill development.
BMC HEALTH SERVICES RESEARCH
(2021)
Article
Information Science & Library Science
Ekaterina Jussupow et al.
Summary: Systems based on artificial intelligence increasingly support physicians in diagnostic decisions, but research on the cognitive challenges of decision augmentation with AI-based systems is lacking. Our study reveals that physicians use metacognitions to monitor and control their reasoning when assessing AI advice, which ultimately determines whether they can fully benefit from AI or not. The crucial role of human actors in compensating for technological errors in decision augmentation with AI is highlighted.
INFORMATION SYSTEMS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Natalia Norori et al.
Summary: Artificial intelligence has great potential in clinical decision making, but algorithmic bias is a major challenge that needs to be addressed. If training data does not represent population variability, AI is at risk of reinforcing bias, leading to serious consequences.
Article
Hospitality, Leisure, Sport & Tourism
Bonhak Koo et al.
Summary: The study found that perceived job insecurity significantly impacted job engagement, which in turn affected employees' turnover intention. There were no statistical differences found between managerial positions and non-managerial positions in relation to these factors.
INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
(2021)
Review
Ophthalmology
Rachel Marjorie Wei Wen Tseng et al.
Summary: Artificial Intelligence (AI), particularly deep learning, has shown significant progress in ophthalmology, but faces challenges in real-world implementation. Understanding the demands and concerns of healthcare professionals and patients is crucial for a seamless transition of AI technology into ophthalmic care delivery.
ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY
(2021)
Article
Business
Shuili Du et al.
Summary: The article discusses the ethical challenges of AI products and suggests that companies should engage in corporate social responsibility to shape the future of ethical AI. It also highlights some key ethical issues and develops a conceptual framework for CSR actions related to artificial intelligence.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Economics
David E. Kalisz et al.
Summary: Social robots are artificial agents communicating in a human-like way, currently widely used in personal healthcare. Their features combine typical object characteristics with human-like features. Healthcare professionals have differing views on the adoption and diffusion of social robots, but the categorical ambiguity of these robots also presents an opportunity for creating interactive experiences.
Article
Information Science & Library Science
Wu He et al.
Summary: Various technologies have been developed to combat the COVID-19 pandemic, with implications for future technology design. Researchers need to understand their roles in global pandemics and work towards improving technology for future challenges.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2021)
Article
Business
Sebastian Raisch et al.
Summary: In the management domain, there exists a paradoxical tension between automation and augmentation. Prioritizing one over the other may lead to negative organizational and societal outcomes.
ACADEMY OF MANAGEMENT REVIEW
(2021)
Article
Medicine, Research & Experimental
M-C Lai et al.
JOURNAL OF TRANSLATIONAL MEDICINE
(2020)
Review
Business
Assunta Di Vaio et al.
JOURNAL OF BUSINESS RESEARCH
(2020)
Article
Ethics
Danton S. Char et al.
AMERICAN JOURNAL OF BIOETHICS
(2020)
Article
Information Science & Library Science
Janice C. Sipior
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2020)
Review
Computer Science, Interdisciplinary Applications
Anushree Tandon et al.
COMPUTERS IN INDUSTRY
(2020)
Article
Health Policy & Services
Shashank Kumar et al.
INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT
(2020)
Article
Business, Finance
Milena Vucinic
JOURNAL OF CENTRAL BANKING THEORY AND PRACTICE
(2020)
Article
Social Issues
Marija Cubric
TECHNOLOGY IN SOCIETY
(2020)
Article
Computer Science, Information Systems
Sandeep Reddy et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2020)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
S. H. Wong et al.
EUROPEAN RADIOLOGY
(2019)
Article
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Massimo Garbuio et al.
CALIFORNIA MANAGEMENT REVIEW
(2019)
Article
Management
Puneeta Ajmera et al.
OPERATIONS MANAGEMENT RESEARCH
(2019)
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Health Care Sciences & Services
Trishan Panch et al.
NPJ DIGITAL MEDICINE
(2019)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
David Wiljer et al.
JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES
(2019)
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Amandeep Dhir et al.
NEW MEDIA & SOCIETY
(2017)
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Dennis A. Gioia et al.
ORGANIZATIONAL RESEARCH METHODS
(2013)
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Guy Pare et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2007)
Article
Biology
A Kazanjian et al.
COMPUTERS IN BIOLOGY AND MEDICINE
(2002)
