Article
Management
Dominik Siemon
Summary: The composition of a team plays a crucial role in the role of artificial intelligence in collaboration. Through a multi-method approach, we identified four team roles for AI teammates, which can help in designing hybrid teams and understanding team dynamics and processes better.
GROUP DECISION AND NEGOTIATION
(2022)
Article
Information Science & Library Science
Hemant Jain, Balaji Padmanabhan, Paul A. Pavlou, T. S. Raghu
Summary: Recent advancements in artificial intelligence have sparked interest in augmented intelligence, where computers and humans work together to enhance intelligence. This can revolutionize individual work, organizations, and society, with applications emerging in domains such as cybersecurity, privacy, and healthcare.
INFORMATION SYSTEMS RESEARCH
(2021)
Article
Social Issues
Oluwaseun Kolade, Adebowale Owoseni
Summary: This paper provides a systematic review of recent scholarly outputs on the disruptive impact of digital transformation on work. It identifies key theoretical perspectives and explores cross-cutting themes such as technological unemployment, wage inequality, and job polarization. The paper also highlights the conflicting views on technology ownership, work-less utopia, and the importance of human-centricity in technology adoption.
TECHNOLOGY IN SOCIETY
(2022)
Review
Materials Science, Multidisciplinary
Pengcheng Jiao, Amir H. Alavi
Summary: Recent research in mechanical metamaterials has shifted towards using artificial intelligence techniques for designing, optimizing, and characterizing these materials. This new direction aims to address the challenges in mechanical metamaterials and explore the potential of AI-enabled mechanical metamaterials for future innovations.
INTERNATIONAL MATERIALS REVIEWS
(2021)
Article
Business
Jenny van Doorn, Edin Smailhodzic, Stefano Puntoni, Jia Li, Jan Hendrik Schumann, Jana Holthower
Summary: In the digital age, research on the impact of autonomous technology (AT) in organizational frontlines has focused either on the consumer or the worker. To fill this gap, we propose the Consumer-Autonomous Technology-Worker (CAW) framework, which considers the implications of consumer-worker-AT interactions. Based on interviews with workers and consumers in hospitality contexts, we suggest that consumer-worker relations are strengthened when AT augments rather than replaces the worker. Human leadership is crucial for the acceptance of AT by consumers and workers, while the anthropomorphism of AT is less critical when a human worker is present.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Business
Konrad Sowa, Aleksandra Przegalinska, Leon Ciechanowski
Summary: This research explores the collaboration between human workers and AI in managerial tasks to increase productivity. The results confirm that enhanced human-AI collaboration boosts productivity in knowledge work, emphasizing the importance of collaborative approaches rather than full automation in the future.
JOURNAL OF BUSINESS RESEARCH
(2021)
Article
Biochemistry & Molecular Biology
Qi Lv, Feilong Zhou, Xinhua Liu, Liping Zhi
Summary: This review provides an overview of the utilization of artificial intelligence in drug design, focusing on protein structure prediction, molecular virtual screening, molecular design, and ADMET prediction. The role and limitations of AI in drug development are discussed, along with its impact on decision-making processes.
BIOORGANIC CHEMISTRY
(2023)
Article
Health Care Sciences & Services
Ye Minghui, Yingying Hu, Zhongiu Lu
Summary: AI is revolutionizing medical research and patient care, particularly in the field of chronic disease nursing care. However, the current involvement of nurses in AI research and development is limited, despite their crucial role in symptom analysis and long-term management.
Review
Business
Yann Truong, Savvas Papagiannidis
Summary: This article discusses the application of artificial intelligence in innovation management and reviews relevant literature. It presents how AI can assist innovation managers in each stage of the innovation process and explains the contributions of these studies to advancing our understanding of AI as an enabler for innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Chemistry, Multidisciplinary
William Villegas-Ch, Joselin Garcia-Ortiz, Isabel Urbina-Camacho
Summary: The article presents a framework for designing secure and sustainable solutions for the internet of medical things (IoMT). The framework tackles challenges related to safety and sustainability in the medical field and discusses future trends in IoMT. A case study conducted in a private medical clinic demonstrates the effectiveness of the IoMT system in monitoring patients' vital signs remotely. The study shows improved quality of care and early detection of complications, along with the selection of safe, durable, and energy-efficient medical devices.
APPLIED SCIENCES-BASEL
(2023)
Review
Chemistry, Analytical
Rabeay Y. A. Hassan
Summary: Biosensors play a crucial role in enhancing modern life quality, particularly in the field of point-of-care technology. They offer high specificity and affordability, making them applicable in medical and food safety contexts. Among different biosensor platforms, electrochemical biosensors stand out for their advantages of being cheap, selective, specific, rapid, and portable. They can be integrated with smartphones and analytical methods to improve sensitivity and other properties. Biosensors encompass various disciplines and backgrounds such as materials science, chemistry, physics, medicine, microbiology/biology, and engineering.
Article
Ethics
Torbjorn Gundersen, Kristine Baeroe
Summary: This article examines the role of medical doctors, AI designers, and other stakeholders in making applied AI and machine learning ethically acceptable. It articulates and examines four central alternative models of how AI can be designed and applied, suggesting that the collaborative model is the most promising for covering most AI technology.
SCIENCE AND ENGINEERING ETHICS
(2022)
Article
Biology
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Summary: Artificial intelligence (AI) has great potential in healthcare, especially in cancer research. AI and machine learning can aid in diagnosis, individualized treatment, and support medical professionals in making informed decisions to improve patient outcomes. However, there are many challenges that need to be addressed before implementing AI in clinical practice.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Review
Biochemistry & Molecular Biology
Matteo Ferro, Gennaro Musi, Michele Marchioni, Martina Maggi, Alessandro Veccia, Francesco Del Giudice, Biagio Barone, Felice Crocetto, Francesco Lasorsa, Alessandro Antonelli, Luigi Schips, Riccardo Autorino, Gian Maria Busetto, Daniela Terracciano, Giuseppe Lucarelli, Octavian Sabin Tataru
Summary: Renal cancer management poses challenges throughout the entire process from diagnosis to treatment and follow-up. The differentiation between benign and malignant tissues in cases of small renal masses and cystic lesions can be problematic, even with imaging or renal biopsy. Recent advances in artificial intelligence, imaging techniques, and genomics provide potential for helping clinicians with risk stratification, treatment selection, follow-up strategies, and prognosis. However, further prospective studies with larger patient cohorts are needed to validate previous results and implement these techniques into clinical practice.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Environmental Sciences
Yoko E. Fukumura, Julie McLaughlin Gray, Gale M. Lucas, Burcin Becerik-Gerber, Shawn C. Roll
Summary: This study explored office workers' views on including AI in their office workspace and found that participants shared perspectives related to preferences and concerns regarding communication and interactions with the technology, as well as the dualistic nature of a system that collects large amounts of data. Additionally, the study revealed an overarching discussion related to the intersections of AI with the complexity of work performance.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Computer Science, Information Systems
Edona Elshan, Naim Zierau, Christian Engel, Andreas Janson, Jan Marco Leimeister
Summary: Intelligent agents (IAs) are becoming increasingly prevalent in both business and society, but interacting with them poses challenges in terms of the human-computer interface. In this study, we conducted a systematic literature review to integrate empirical knowledge on user interaction with IAs. We identified 389 relationships between design elements and user acceptance of IAs from 107 Information Systems and Human-Computer Interaction papers. Our research contributes to theory by presenting a research agenda that encompasses the dimensions of the research space, providing valuable insights for both researchers and practitioners.
INFORMATION SYSTEMS FRONTIERS
(2022)
Article
Business
Christian Engel, Philipp Ebel, Jan Marco Leimeister
Summary: Facilitated by AI technology, cognitive automation expands the scope of deterministic business process automation by probabilistically automating knowledge and service work, providing organizations with strategic opportunities to gain business value. However, the lack of a unified conceptual framework on cognitive automation hampers scientific progress. This article, based on a systematic literature review, describes the fundamentals and provides an integrated conceptualization of cognitive automation, highlighting its relevance and opportunities in Information Systems research.
ELECTRONIC MARKETS
(2022)
Article
Business
Karen Eilers, Christoph Peters, Jan Marco Leimeister
Summary: This study examines the impact of actors' agile mindset (AM) on strategic agility and performance. It finds that AM consists of four dimensions: attitude towards learning spirit, collaborative exchange, empowered self-guidance, and customer co-creation. The study reveals that AM affects organizational performance through its influence on strategic agility. It contributes to the field by providing a conceptualization and measuring instrument for AM, as well as explaining its relevance to strategic agility and outlining its relationship to organizational performance.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Business
Naim Zierau, Christian Hildebrand, Anouk Bergner, Francesc Busquet, Anuschka Schmitt, Jan Marco Leimeister
Summary: Through four studies, this research demonstrates that voice-based interfaces enhance user experience, positively influence service experiences, and benefit firm outcomes. The findings also identify two boundary conditions that reduce the flow-like user experiences in voice-based interfaces. These findings have important implications for improving consumers' service experiences and the design of voice-based interfaces.
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE
(2023)
Article
Education & Educational Research
Sofia Marlena Schoebel, Andreas Janson, Jan Marco Leimeister
Summary: Online training plays a significant role in management learning, but learners often face stress and decreased motivation in online environments. To enhance motivation and emotional engagement, gamification elements can be used, although they do not necessarily lead to improved learning outcomes. This study demonstrates that points and badges do not directly improve problem-solving skills, but instead influence them through emotional engagement. Additionally, satisfaction with the gamification learning process positively correlates with emotional engagement. Educators should consider student engagement and learning environment design when creating online training programs.
JOURNAL OF MANAGEMENT EDUCATION
(2023)
Article
Computer Science, Information Systems
Ernestine Dickhaut, Andreas Janson, Matthias Soellner, Jan Marco Leimeister
Summary: The pressure to develop lawful IT artefacts has increased due to new political objectives, emerging regulatory regimes, and higher penalties for violations. Designing IT artefacts lawfully from the beginning is a more attractive approach, but it is challenging due to the technology-neutral nature of the law and the costly communication between legal experts and developers. One possible solution is to use design patterns that convey legal design knowledge and support developers in determining appropriate design options. A framework for lawful design patterns is developed and demonstrated using the example of AI-based assistants and GDPR regulation.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Sofia Schoebel, Anuschka Schmitt, Dennis Benner, Mohammed Saqr, Andreas Janson, Jan Marco Leimeister
Summary: Conversational agents (CAs) have evolved significantly from their early days in the 1960s to today's generative models. Technological advancements have enabled more natural and effortless interactions, as well as deployment in various domains. Through a bibliometric study of over 5000 research articles, we identify five waves of CA research that describe the past, present, and potential future of the field. Our findings highlight important technical developments and theoretical paradigms in CA research, and we discuss the influence of emerging technologies like OpenAI GPT and BLOOM NLU on the future direction of CAs.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Christian Engel, Edona Elshan, Philipp Ebel, Jan M. Leimeister
Summary: Cognitive automation (CA) extends rule-based business process automation by targeting cognitive knowledge and service work. CA offers organizations the opportunity to automate tasks and processes that were previously unimaginable, providing a significant competitive advantage. However, organizations face challenges in determining the potential for CA in different use cases, leading to low adoption and high project failure rates. To address this, a model for assessing use cases' suitability for CA is proposed, considering cognition, data, relationship, and transparency requirements. The model's generalizability is validated through internal and external evaluations in different industries.
JOURNAL OF INFORMATION TECHNOLOGY
(2023)
Article
Business
Sofia Marlena Schoebel, Jan Marco Leimeister
Summary: Traditionally, the metaverse has been defined as a virtual reality space where users can interact with a computer-generated environment and other users. However, nowadays it is much more than that - the metaverse can be described as a variety of digital platforms and ecosystems, each with its own unique features. This fundamental paper defines the metaverse as a massively scaled and interoperable meta-ecosystem of real-time rendered 3D virtual worlds, offering vast opportunities for digital innovations.
ELECTRONIC MARKETS
(2023)
Article
Computer Science, Information Systems
Mahei Manhai Li, Philipp Reinhard, Christoph Peters, Sarah Oeste-Reiss, Jan Marco Leimeister
Summary: This article introduces a novel human-in-the-loop (HIL) design for ITSM support ticket recommendations by incorporating a value co-creation perspective. The design incentivizes ITSM agents to provide labels during their everyday ticket-handling procedures, and the evaluation shows that recommendations after label improvement have increased user ratings.
INFORMATION SYSTEMS
(2024)
Article
Education & Educational Research
Eva Ritz, Roman Rietsche, Jan Marco Leimeister
Summary: With the increasing prevalence of technology-enhanced learning environments, self-regulated learning (SRL) has become a crucial skill for management students and graduates in the 21st century. This study developed and embedded a technology-based intervention in a large-scale management course to promote graduate students' SRL practices. The intervention included temporal-proximate and regular formative feedback assessments. The evaluation of the intervention found that students with the embedded SRL intervention had higher self-assessment and learning outcome scores. The study contributes to understanding students' SRL strategies during emergency remote learning and provides an empirically evaluated intervention to foster SRL in blended learning and online pedagogies.
ACADEMY OF MANAGEMENT LEARNING & EDUCATION
(2023)
Article
Education & Educational Research
Marian Thiel de Gafenco, Tim Weinert, Andreas Janson, Jens Klusmeyer, Jan Marco Leimeister
Summary: Continuing vocational training benefits from employees' sharing of individual experience and expertise, which are competitive advantages for companies. IT-supported systems can facilitate knowledge elicitation processes and manage a growing number of knowledge artifacts, but it is unclear how these collaborative and digital co-creation processes benefit the development of individual co-creators' expertise.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Computer Science, Information Systems
Edona Elshan, Philipp Ebel, Matthias Soellner, Jan Marco Leimeister
Summary: Smart personal assistants (SPAs) like Alexa promise individualized user interactions, but using low code environments alone does not guarantee a good conversation. In this study, we propose the SPADE method to support domain experts in developing effective SPAs with conversational and anthropomorphic design steps. Our proof of concept and proof of value results show that SPADE is useful in different domains beyond private set-ups.
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
(2023)
Article
Psychology, Multidisciplinary
Yvonne Berkle, Lukas Schmitt, Antonia Tolzin, Andreas Janson, Thiemo Wambsganss, Jan Marco Leimeister, Miriam Leuchter
Summary: Theory argumentation is crucial for academic disciplines, but students lack argumentation skills. This study developed an instrument to measure the recognition of argument structures and fallacies among preservice teachers and business economics students. The study found differences in the recognition of congruent and incongruent fallacies based on dual process theories.
FRONTIERS IN PSYCHOLOGY
(2023)
Proceedings Paper
Thiemo Wambsganss, Matthias Soellner, Kenneth R. Koedinger, Jan Marco Leimeister
Summary: This study developed an adaptive writing support system, ELEA, that uses natural language processing techniques to detect and provide feedback on students' empathy level in peer review. The results showed that students using ELEA wrote more empathic peer reviews, indicating the potential of using such an approach as a feedback application in traditional learning settings.
PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)
(2022)
