Article
Business
Douglas Bosse, Steven Thompson, Peter Ekman
Summary: This article discusses the positive and negative outcomes of AI adoption in businesses and proposes an AI-stakeholder framework to guide managerial decisions. The framework focuses on stakeholder justice and provides testable propositions for incorporating AI into business processes.
JOURNAL OF BUSINESS RESEARCH
(2023)
Review
Business
Verma Prikshat, Mohammad Islam, Parth Patel, Ashish Malik, Pawan Budhwar, Suraksha Gupta
Summary: The research on the use of artificial intelligence (AI) in HRM has gained significant traction in recent years. It is observed that contemporary AI applications have enhanced HR functionalities and strategic importance. However, there is a considerable gap in existing studies, particularly in terms of sector-specific research and the link between HRM(AI) and organizational outcomes.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael K. Atalay, Grayson L. Baird, Matthew T. Stib, Paul George, Karim Oueidat, John J. Cronan
Summary: This study examined the impact of AI and other emerging technologies on various specialties and residency selections among medical students. The results showed that students believed AI would reduce job prospects for pathology, diagnostic radiology, and anesthesiology, but enhance prospects for other specialties. Additionally, 50% of students would not consider diagnostic radiology due to concerns about AI making it obsolete.
ACADEMIC RADIOLOGY
(2023)
Article
Management
Yuan Pan, Fabian Froese, Ni Liu, Yunyang Hu, Maolin Ye
Summary: The study suggests that companies' perceived complexity towards AI hinders its adoption, while technology competence and regulatory support encourage it. Additionally, transaction costs moderate the effects of technological complexity and organizational technology competence.
INTERNATIONAL JOURNAL OF HUMAN RESOURCE MANAGEMENT
(2022)
Article
Psychology, Multidisciplinary
Stephanie Hui-Wen Chuah, Eugene Cheng-Xi Aw, Dewey Yee
Summary: This study examines the causal configurations of human-likeness, technology-likeness, and consumer personalities in explaining the behavioral intention to use service robots. It finds that multiple distinct combinations of these factors can lead to high adoption intention. The research contributes to artificial intelligence literature by unveiling the complexity behind service robot adoption and providing practical guidance for manufacturers and managers.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Computer Science, Cybernetics
Lixuan Zhang, Clinton Amos
Summary: Algorithms are increasingly used in HR departments to evaluate employee performance, but they are often perceived to be less fair than human managers despite their objective and neutral nature. This research explores dignity as a key factor in explaining the perceived fairness discrepancy and investigates ways to improve dignity and fairness in algorithm-based evaluations. Results from three experiments show that individuals evaluated by algorithms experience lower levels of perceived dignity, leading to a belief that the process is less fair. Providing justifications for algorithm usage improves perceived dignity, but human-algorithm collaboration does not enhance it.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Fisheries
Milena Freitas, Celma G. Lemos, Raquel B. Ariede, John F. G. Agudelo, Rubens R. O. Neto, Carolina H. S. Borges, Vito A. Mastrochirico-Filho, Fabio Porto-Foresti, Rogerio L. Iope, Fabricio M. Batista, Jose R. F. Brega, Diogo T. Hashimoto
Summary: This study developed a computer vision system (CVS) using deep learning to predict body shape in fish. Through the analysis of pacu, it was found that morphotypes vary according to the environment, sex, and age. The genetic parameters for body shape indicate that this trait is moderately controlled by genetics and can be altered through selection.
Article
Geriatrics & Gerontology
Feng Gu, Songhua Ma, Xiude Wang, Jian Zhao, Ying Yu, Xinjian Song
Summary: This study introduces a frequency-based criterion to evaluate the stability of feature selection and designs a pipeline to consider both stability and discriminability when selecting features. Experimental results on the ADNI dataset demonstrate the feasibility of this method.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Computer Science, Information Systems
Mahmoud Elmahdy, Ronnie Sebro
Summary: Artificial intelligence has the potential to disrupt healthcare, but most AI models are designed to assist healthcare providers rather than replace them. These models can perform tasks that healthcare providers are unable to perform.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Computer Science, Artificial Intelligence
Huiling Huang, Shengbiao Zhong
Summary: Marxist scholars' research on science and technology covers multiple levels of business, politics, and society. They recognize the contribution of science and technology to economic development and define the relationship between science and technology and ideology. Their reflections on the application of science and technology have great educational and reference value for the systematic research of Marxist science and technology theory with Chinese characteristics socialist modernization.
Article
Business
Cristina Trocin, Ingrid Vage Hovland, Patrick Mikalef, Christian Dremel
Summary: Artificial Intelligence is driving digital innovation in Human Resource Management by providing new opportunities for data protection compliance, bias reduction, and targeted recommendations. However, challenges arise in integrating AI affordances with organizational processes and outcomes. This study contributes to understanding the role of AI in digital innovation and its impact on decision-making in organizations.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Editorial Material
Psychiatry
Scott Monteith, Tasha Glenn, John R. Geddes, Peter C. Whybrow, Eric Achtyes, Michael Bauer
Summary: With advances in AI, patients are increasingly exposed to misleading medical information, particularly generated by AI models, which may contain errors and misinformation.
BRITISH JOURNAL OF PSYCHIATRY
(2023)
Review
Biochemistry & Molecular Biology
Paolo Biamonte, Ferdinando D'Amico, Ernesto Fasulo, Rukaia Bara, Francesca Bernardi, Mariangela Allocca, Alessandra Zilli, Silvio Danese, Federica Furfaro
Summary: Ulcerative colitis (UC) is a chronic inflammatory bowel disease. Recent advancements in endoscopic technology have revolutionized the assessment and treatment of UC patients, enabling early detection of dysplasia and cancer, more precise characterization of the disease, and more targeted biopsies. These advancements have significant implications for therapeutic decision making, empowering clinicians to consider various treatment options.
Article
Genetics & Heredity
V. W. Fitz, M. K. Kanakasabapathy, P. Thirumalaraju, H. Kandula, L. B. Ramirez, L. Boehnlein, J. E. Swain, C. L. Curchoe, K. James, I Dimitriadis, I Souter, C. L. Bormann, H. Shafiee
Summary: Incorporating an AI framework improved the performance of trained embryologists in selecting euploid embryos destined to implant, with an average increase of 11.1% in successful selection rate. All embryologists showed improvement in selecting embryos with the aid of the AI algorithm, regardless of their level of experience.
JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
(2021)
Article
Immunology
Joachim L. Schultze, Maren Buettner, Matthias Becker
Summary: This article discusses the potential benefits of artificial intelligence and blockchain technologies in human immunology. It focuses on how Swarm Learning could facilitate collaborative worldwide immunology studies by sharing insights instead of data, while fully respecting local data privacy regulations.
NATURE REVIEWS IMMUNOLOGY
(2022)
Article
Computer Science, Cybernetics
Jbid Arsenyan, Agata Mirowska
Summary: This study investigated the behavior and reactions of human, human-like virtual, and anime-like virtual influencers on a popular social media platform, finding that the human-like virtual influencer received significantly lower positive and negative reactions compared to humans. These results provide evidence for the Uncanny Valley phenomenon in virtual influencer interactions within human social networks.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2021)
Article
Business
Agata Mirowska, Raymond B. Chiu, Rick D. Hackett
Summary: The study explores the psychological tendencies and connections of those who view tyrannical leader traits as effective leadership. A mediation model is proposed, suggesting a positive link between belief in a dangerous world and endorsement of tyrannical leader traits through the binding components of moral foundations theory. The research also indicates a stronger association between binding foundations and endorsement of tyrannical leadership traits among males compared to females.
JOURNAL OF BUSINESS ETHICS
(2022)
Article
Computer Science, Cybernetics
Agata Mirowska, Jbid Arsenyan
Summary: Virtual influencers engage in emotional sharing to gain and keep followers, but this may hinder highly empathetic individuals from escaping everyday emotional experiences. Our research shows that highly empathetic people are more likely to follow and perceive a virtual influencer as socially attractive compared to a human influencer, unless the virtual influencer's true identity is unknown. These results indicate an escapism effect, where virtual influencers are expected to provide greater diversionary benefits and require fewer cognitive resources in emotional sense making.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Information Science & Library Science
Agata Mirowska, Tuba Bakici
Summary: The purpose of this study is to investigate existing and emerging technology-driven stressors using the transactional model of stress and coping (TMSC). In-depth semi-structured interviews with professionals were conducted to explore emerging techno-stressors. The study identifies a previously unreported techno-stressor, Techno-Isolation (TIS), and introduces the concept of medium-interaction compatibility to the TMSC.
INFORMATION TECHNOLOGY & PEOPLE
(2023)
Article
Business
Jbid Arsenyan, Agata Mirowska, Anke Piepenbrink
Summary: Virtual agent research has formed a substantial body of work, with fragmented structure and overlapping definitions and results. This study used Latent Dirichlet Allocation to analyze 1865 publications from 1995 to 2022, revealing 16 topics that represent the current research landscape. By organizing these topics into a Human-Virtual Agent Coexistence Framework, this study identifies current trends and future research opportunities.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2023)
Article
Psychology, Applied
Agata Mirowska
JOURNAL OF PERSONNEL PSYCHOLOGY
(2020)
Article
Business, Finance
Dieter Vanwalleghem, Agata Mirowska
JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE
(2020)
Article
Management
Agata Mirowska
EUROPEAN JOURNAL OF INTERNATIONAL MANAGEMENT
(2008)
