جست‌وجوی استاد و پژوهشگر

Merve Hickokمشاهده پروفایل

مدرس

• AI policy
• AI ethics
• AI governance
• +۱۰ مورد دیگر

Merve Hickok is a Lecturer at the University of Michigan's School of Information, where she teaches data ethics. She also serves as the Responsible Data and AI Advisor at the Michigan Institute for Data Science (MIDAS) and is an affiliated faculty member at the Gerald R. Ford School of Public Policy. Additionally, she is the President and Research Director at the Center for AI and Digital Policy (CAIDP), advising governments and international organizations on AI policy and regulation. Her research focuses on AI policy, ethics, and governance, with particular emphasis on fundamental rights, democratic values, and social justice. She examines the impact of AI systems on individuals, society, and organizations, exploring issues like algorithmic bias, privacy concerns, and the societal implications of emerging AI technologies. Her work bridges technical understanding with social and ethical considerations to promote responsible AI development and deployment, with special attention to employment applications, government procurement, and international policy frameworks. 100 Brilliant Women in AI Ethics™ – 2021 Runner-up for Responsible AI Leader of the Year – 2022 (Women in AI) Lifetime Achievement Award - Women in AI of the Year - 2023 Top AI Leaders in Retail (Ethics & Compliance) - 2024 Hickok provides consultancy to C-suite leaders and training services to public and private organizations on Responsible AI development, due diligence, and governance. She has provided testimony to the US Congress, State of California Civil Rights Office, New York City Department of Consumer and Worker Protection, Detroit City Council, and numerous global organizations. She founded AIethicist.org to help professionals navigate the complex landscape of AI ethics and serves on the founding editorial board of Springer Nature's AI & Ethics journal.

Frank Zhouمشاهده پروفایل

استادیار

• Corporate Disclosure
• Financial Reporting
• Managerial Accounting
• +۷ مورد دیگر

Frank Zhou is an Assistant Professor of Accounting at the University of Pennsylvania's Wharton School. His research focuses on strategic disclosure dynamics in capital markets and how these interactions influence firm reporting and investment decisions. He serves on the editorial boards of The Accounting Review and Accounting Horizons , and has published in top journals like Management Science and Journal of Accounting Research . Zhou teaches Financial Accounting to MBAs and has received multiple teaching excellence awards. Education: PhD and MBA in Accounting (University of Chicago), MSc in Finance (Tilburg University), BS in Finance (Nankai University). Research Interests: Strategic interactions between managers' disclosures and stakeholder learning, with applications to audit quality, fraud detection, systemic risk, and governance mechanisms. His work bridges accounting theory with empirical analyses of capital market behaviors. Notable contributions include analyzing auditor tenure effects on misreporting, identifying fraud power laws, and investigating cultural impacts on shareholder expropriation. His 2023 paper on financial reporting quality and myopic investments explores how disclosure quality affects long-term corporate investment decisions. Awards : Arnold Zellner Doctoral Prize (2015), Chicago Booth PhD Fellowship (2011–2015), CentER Scholarship (Tilburg University). Teaching : Courses include ACCT1010 (Financial Reporting), ACCT6110 (Financial Accounting), and advanced research seminars (ACCT9400–9430). Active in scholarly communities, Zhou collaborates with institutions globally and has been featured in Knowledge at Wharton discussing how investor learning shapes firm behavior.

Zhu Yanمشاهده پروفایل

استاد

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +۴ مورد دیگر

Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.

Nigel Boschمشاهده پروفایل

استادیار

• Machine Learning
• Human-Computer Interaction
• Educational Technology
• +۳ مورد دیگر

Nigel Bosch is an Assistant Professor in the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign, with a joint appointment in the Department of Educational Psychology. He is also a faculty affiliate at the National Center for Supercomputing Applications (NCSA) and Illinois Informatics. His primary research focuses on machine learning and human-computer interaction applications in education, with particular emphasis on affective computing, metacognition, and online learning environments. Bosch holds a PhD in Computer Science from the University of Notre Dame, followed by a postdoctoral research position at the National Center for Supercomputing Applications. His research explores machine learning applications in education, including automatic emotion measurement in programming education, metacognition analysis through natural language processing, and ethical implications of AI in learning. He also investigates wearable technologies for health monitoring and algorithmic bias mitigation in educational data. Bosch’s work is supported by grants from the National Science Foundation (NSF), the Institute of Education Sciences (IES), and the University of Illinois. He leads the (Human + Machine) Learning lab, which develops innovative technologies for educational analytics, AI ethics, and human-centered computing.

Ales Popovicمشاهده پروفایل

استاد

• Information Systems
• Digitalization
• Artificial Intelligence
• +۴ مورد دیگر

Ales Popovic is a Full Professor of Information Systems at NEOMA Business School, France. He holds a PhD in Management and Information Systems. His research focuses on the value of information systems (IS) in organizations, digitalization, AI, behavioral and organizational issues in IS, and IT in inter-organizational relationships. He has published widely in journals like Journal of the Association for Information Systems and Technological Forecasting and Social Change . Dr. Popovic’s research explores topics such as fake news engagement on social media, blockchain adoption in real estate, and the impact of digital platforms on traditional media. He serves on editorial boards for journals including International Journal of Information Management and Industrial Management & Data Systems . His work bridges theoretical and practical aspects of IS, emphasizing business value creation and ethical considerations in AI. Key contributions include studies on digital transformation, crisis management technologies, and the role of privacy in technology adoption. His research frequently addresses contemporary challenges like misinformation dynamics, gig worker burnout, and healthcare AI applications.

Christos Nicolaidesمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Social Networks
• +۵ مورد دیگر

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

Subodha Kumarمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Blockchain
• +۱۱ مورد دیگر

Subodha Kumar is the Paul R. Anderson Distinguished Chair Professor of Statistics, Operations, and Data Science at Temple University’s Fox School of Business. He also serves as Founding Director of the Center for Business Analytics and Disruptive Technologies and holds a secondary appointment in Information Systems. With prior faculty roles at the University of Washington and Texas A&M University, he has been recognized with prestigious awards including the INFORMS ISS Distinguished Fellow Award (2023) and POMS Fellow (2019). His research focuses on artificial intelligence, machine learning, blockchain, fintech, and cybersecurity, with over 240 publications in top journals and two books. He actively contributes to academic leadership as Deputy Editor of the Production and Operations Management Journal and Founding Executive Editor of Management and Business Review. Research Interests: Artificial Intelligence Machine Learning Blockchain Fintech Healthcare Analytics Social Media Analytics Supply Chain Analytics Awards: INFORMS ISS Distinguished Fellow Award (2023) POMS Fellow (2019) Changjiang Scholars Chair Professorship (China) Namesake Award: The Subodha Kumar and Geoffrey G. Parker Award for Digital Transformation Research Grants & Advising: Secured NIH grants, advises PhD students in Operations & Supply Chain Management, and oversees the Center for Business Analytics. His editorial roles include multiple top journals and conference leadership (e.g., POMS Annual Conference 2018). Labs/Teams: Leads the Center for Business Analytics and Disruptive Technologies, fostering innovation in analytics and tech-driven business strategies.

Maria-Luciana Blahaمشاهده پروفایل

استادیار

• Intelligent Automation
• Business Management
• Technology Adoption
• +۴ مورد دیگر

Maria-Luciana Blaha is an Assistant Professor in Business Management and Intelligent Automation at Heriot-Watt University, affiliated with the School of Social Sciences and Edinburgh Business School. She leads the Intelligent Automation Systems (IAS) Lab and coordinates the Graduate Apprenticeships in Business Management Year 1 program. With a PhD from the University of Aberdeen and extensive professional experience across sectors, her research focuses on AI, RPA, chatbots, and their impact on organizational behavior. She was awarded the 2023 Early Career Researcher of the Year by the School of Social Sciences. Education : PhD in Business Management, University of Aberdeen (Elphinstone Scholarship, British Federation of Women Graduates Bursary) Research Interests : Blaha investigates Intelligent Automation systems, posthumanism, organizational behavior, and ethical AI adoption. Her work bridges science/technology studies, business management, and computing science. Current projects include automation in Ghana/UK manufacturing, ethical AI frameworks for healthcare, and generative AI in HR. Grants & Projects (2025-): TransiT: Decarbonisation via Digital Twinning (EPSRC) Lighthouse Project: SME Manufacturing Audit (Innovate UK) Local Authority AI Readiness Review (Interface Scotland) 2024 Projects : Thermo Fisher/National Robotarium AKTP (Innovate UK) Extend Robotics Feasibility Study (Interface Scotland) Media & Outreach : Blaha contributes to Scottish AI Alliance initiatives, speaks globally on AI/automation, and engages in public lectures like the 'Age of AI' series. Her media features include Financial Times and pandemic-era fact-checking insights. Labs & Teams : Leads the IAS Lab, collaborates with National Robotarium, and oversees AKT projects with industry partners.

Michael Morrisمشاهده پروفایل

استاد

• Human Centered Leadership
• Human Centered Design
• Strategic HR
• +۵ مورد دیگر

Michael Morris is the Associate Dean of Undergraduate Studies and Student Affairs and the John W. Fisher Professor of Innovative Learning at the Haslam College of Business , University of Tennessee, Knoxville. His career includes leadership roles such as Director of the Smith Global Leadership Scholars program and department head at Haslam, alongside corporate experience as a metallurgical R&D special projects engineer at Teledyne Firth Sterling. His research spans Human Centered Leadership , Strategic HR , Leadership Development , and Work-Life Harmony . His work, appearing in top-tier journals like Organizational Research Methods and Family Relations , integrates machine learning for disease forecasting, HRD theories, and interdisciplinary approaches to workplace wellness. His recent publications focus on infectious disease modeling , fMRI reliability , and socioemotional wealth in family firms. He serves on editorial boards for Academy of Management Learning & Education and contributes to certifications from the National Council on Family Relations and IDEO. Past President, Academy of Human Resource Development

In-Sue Ohمشاهده پروفایل

استاد

• Personnel Selection
• Meta-Analysis Methods
• Strategic Human Resource Management
• +۳ مورد دیگر

Dr. In-Sue Oh is the Charles E. Beury Professor of Management at Temple University's Fox School of Business. He specializes in personnel selection, meta-analysis, and strategic human resource management. With nearly 100 scholarly publications, his work appears in top-tier journals such as the Academy of Management Journal and Journal of Applied Psychology . Dr. Oh has received prestigious awards, including SIOP's Distinguished Early Career Contributions Award (2016) and the AOM HR Division Scholarly Achievement Award (2016). He currently serves as Associate Editor of the Journal of Applied Psychology . Education: PhD in Business Administration from Tippie College of Business, University of Iowa Research Interests: Advances in meta-analytic methods, including second-order meta-analysis and range restriction corrections Personnel selection validity and high-performance work systems Personality traits (Five-Factor Model) and their impact on job performance, organizational citizenship behaviors, and turnover Cross-cultural comparisons of person-environment fit Recent Focus: Crisis of confidence in psychological research reproducibility Methodological innovations in handling range restriction and publication bias HR systems' strategic alignment (vertical/horizontal fit) Awards & Recognition: Two-time Joyce and Robert Hogan Award (2013, 2024) Elected Fellow of SIOP, APA, and APS Recipient of SIOP's William A. Owens Award (2017-2018) Labs/Teams: Leads research teams focused on meta-analytic methodology and HR strategy optimization. Collaborates internationally on cross-cultural HR studies.

Sean Robsonمشاهده پروفایل

استاد

• Military Personnel Policy
• Workforce Development
• Occupational Training
• +۱۳ مورد دیگر

Sean Robson is a Professor of Policy Analysis at the RAND School of Public Policy and a Senior Behavioral/Social Scientist at the RAND Corporation. He serves as Associate Director of the Workforce, Development, and Health Program within RAND Project AIR FORCE, where he leads research on manpower, personnel, training, and readiness issues for the U.S. military. Robson holds a Ph.D. in industrial-organizational psychology from the University of Tulsa and a B.S. from James Madison University. His research expertise lies in the scientific validation of assessment and selection systems, physical and psychological fitness standards, and workforce development in military contexts. His research interests span military education and training, operational readiness, gender integration in the military, workforce diversity, enlisted personnel management, leadership, and competency modeling. He has led numerous projects to establish evidence-based physical fitness tests for Air Force Special Warfare and combat specialties in the Army, and has contributed to reforms in recruiting, classification, and resilience programs. Recent publications highlight a strong trend in applying data science, machine learning, and policy analysis to improve human resource management in the Air Force and Department of Defense. His work increasingly integrates artificial intelligence and optimization models to modernize workforce systems, while maintaining a core focus on human performance, resilience, and readiness. Assessment and selection for special operations Physical and behavioral fitness standards Military workforce development Machine learning in HR STEM talent in defense Robson has made significant contributions through RAND’s research portfolio, with over 37 research publications and multiple expert insights. His scientific work informs high-level defense policy and operational practices, particularly in the U.S. Air Force and Army. He has also advised on diversity initiatives, abuse prevention in training, and energy-sector workforce development. He is actively involved in current defense research, with recent and forthcoming publications in 2024 and 2025, indicating ongoing leadership and scholarly impact. He is based at RAND and can be contacted at Sean_Robson@rand.org.

Patryk Perkowskiمشاهده پروفایل

استادیار

• Information Technology
• Human Resource Management
• Causal Inference
• +۳ مورد دیگر

Patryk Perkowski is an Assistant Professor of Strategy and Entrepreneurship at the Sy Syms School of Business, Yeshiva University. He holds a PhD from Columbia Business School and completed a postdoctoral fellowship in Business, AI, and Democracy at Columbia. His research focuses on the intersection of information technology, human resource management, and causal inference, examining how technological advancements like AI reshape talent competition and organizational strategies. He also develops methodological tools for empirical business research. Education: PhD and Postdoctoral Scholar at Columbia Business School. Research interests include AI's impact on workplaces, internal talent markets, labor discrimination trends, and algorithmic hiring. He publishes in top journals such as the Strategic Management Journal and Management Science. His work analyzes modern workforce dynamics, including automation effects, team coordination, and central banking AI applications. Notable studies address gender representation in hiring algorithms and long-term discrimination trajectories through meta-analyses. Advising: No advisee list provided. Grants and funding details not specified. His research bridges theory and practice, offering insights for firms to leverage human capital strategically in tech-driven environments.

Herman Paryonoمشاهده پروفایل

پژوهشگر

• Human Resource Management
• Organizational Behavior
• Work Psychology
• +۴ مورد دیگر

Herman Paryono is a PhD Researcher at the Faculty of Economics and Business, University of Groningen, specializing in Human Resource Management & Organizational Behavior. His research focuses on the impacts of role transitions between work and non-work domains on employee well-being and performance, particularly examining daily role diversity and sequence effects. Education: PhD in Organizational Behavior & HR Management (ongoing), University of Groningen MSc in Social-Organizational Psychology (cum laude), Leiden University BSc in Psychology (cum laude), Universitas Sanata Dharma, Indonesia His expertise spans work psychology, people analytics, and quantitative social sciences. Prior to academia, he held a senior management position at Nutrifood Indonesia, earning awards for leadership excellence. He currently serves as a guest lecturer and frequently presents at conferences like the European Association of Work and Organizational Psychology. Professional Contributions: Delivers talks on People Analytics and Work Psychology through mediums like Medium blog (25k+ followers) Skilled in multivariate analysis, psychometrics, machine learning, and data visualization tools (R, SPSS, Gephi) Research presented across 5+ international associations including Indonesian Positive Psychology groups Awards: Top 3 Indonesia Future Human Resource Leader Award Top 5 Indonesia Young Business Leaders Award His work bridges academic research with industry practice, emphasizing data-driven insights into contemporary work challenges.

Rafaela Krausمشاهده پروفایل

استاد

• Business Management
• Human Resource Management
• Leadership
• +۶ مورد دیگر

Prof. Dr. Rafaela Kraus is a Professor of Business and Human Resource Management at the Faculty of Business Administration of the Bundeswehr University Munich, where she has been serving since 2006. She currently holds the position of Vice President for Entrepreneurship and the University Sector for Applied Sciences. Prof. Kraus has established significant initiatives including founders@unibw (2019), the entrepreneurship and intrapreneurship center, and SpaceFounders (2021), the European SpaceTech accelerator program. She previously served as Dean of the Faculty of Business Administration (2010-2014) and Vice Dean (2014-2019), where she developed the Human Resources Management degree program. Prof. Kraus's research focuses on business and human resource management with particular emphasis on leadership, organizational psychology, innovation and change management, personal branding, and qualitative social research. Her applied research explores intrapreneurship and entrepreneurship, defense/dual-use innovation, transformation in industries like automotive and defense, leadership and organizational culture in public sector organizations. Her work demonstrates a strong connection between academic research and practical applications in both military and civilian contexts. Her recent publications reveal a clear research trajectory centered on innovation in public sector organizations, particularly defense institutions. The articles show increasing focus on space technology commercialization, digital transformation, and the intersection of military and civilian innovation ecosystems. Her work bridges theoretical frameworks with practical applications, particularly in how leadership principles from military contexts can be translated to civilian business environments. Prof. Kraus has supervised numerous bachelor's and master's theses across topics including leadership, human resource management, digital transformation, and defense innovation. Her students have produced research on empowerment in the Bundeswehr, IT security in HR management, leadership during the pandemic, and various aspects of organizational change. She has mentored award-winning theses recognized by the German Society for Defense Technology and the Friends' Association of the Bundeswehr University Munich. Prof. Kraus leads several significant initiatives including founders@unibw, which promotes startup culture and entrepreneurial skills development, and BASED (Munich Digital Hub Security & Defense), which launched in September 2024. She was project manager of the Innovation Center of the Bundeswehr Center for Digitalization and Technology Research until 2025. Her work connects academic research with practical applications through partnerships with business and public sector organizations.

• Business Process Management
• Process Mining
• Process Analytics
• +۴ مورد دیگر

Hajo A. Reijers is a Professor at the University of Utrecht, Netherlands, with a former affiliation at Vrije Universiteit Amsterdam. His research focuses on Business Process Management (BPM), Process Mining, and Robotic Process Automation (RPA), emphasizing practical applications in healthcare, organizational processes, and human-computer interaction. He contributes to developing tools like SWORD for detecting workarounds and DEUCE for auditing electronic health records. His work spans algorithm development for process discovery, predictive analytics, and optimization techniques. Key areas include analyzing event logs, modeling workplace behavior, and enhancing process transparency. Reijers collaborates extensively with industry partners, addressing challenges in process automation, employee acceptance of AI, and ethical monitoring. His contributions to conferences like BPM, CAiSE, and ICIS highlight interdisciplinary approaches, combining computer science with organizational studies. Notable projects include frameworks for task mining, reinforcement learning in care processes, and pattern recognition in government transparency assessments. Research initiatives often involve cross-disciplinary teams, exploring topics like workplace well-being through process mining, decision-making support systems, and overcoming barriers to BPM adoption. His work bridges theoretical advancements with real-world impact, influencing both academic discourse and practical business solutions.