Felipe Csaszar is a Professor of Strategy and Chair of the Strategy Department at the University of Michigan's Ross School of Business. His research focuses on decision structures' impact on innovation, financial performance, and social outcomes, with particular attention to cognitive frameworks, organizational processes, and AI's role in decision-making. He holds a PhD and MA from the Wharton School, University of Pennsylvania. Education: PhD in Strategy, University of Pennsylvania (2009) MA in Strategy, University of Pennsylvania (2007) Research Interests: Strategic decision-making under AI integration Cognitive and structural drivers of innovation Organizational decision processes and design Formal modeling and empirical strategy research Editorial Roles: Senior Editor, Strategy Science and Management Science Former Editor, Organization Science Co-editor, Handbook of AI and Strategy Professional Experience: Prior role: Assistant Professor at INSEAD Previous career: CEO of an internet startup and Head of Research at an asset management firm Labs/Teams: Leading the Strategy Science division at INFORMS Co-chair of the SMS Behavioral Strategy division
Prof. Dr. Mirko Kremer is a Professor of Supply Chain Management at the Frankfurt School of Finance & Management since July 2014. Prior to this, he was an Assistant Professor at Pennsylvania State University (2008-2014) and held visiting roles at London Business School, Kellogg School of Management, and INSEAD. He earned a Ph.D. in Business Administration from the University of Mannheim (2008), with prior studies in Business Administration at Mannheim (1999-2003) and Economics at Ruhr-Universität Bochum (1997-1999). Research Focus: Micro-behavioral foundations of supply chains, inventory management, sales forecasting, and service systems. Editorial Roles: Department Editor for Production and Operations Management , Associate Editor for Operations Research . Teaching: Courses in Operations Management, Supply Chain Strategy, and quantitative decision modeling at Frankfurt School, INSEAD, London Business School, and Kellogg School of Management. Research Trends: His work bridges behavioral economics with supply chain operations, emphasizing how human decision-making (e.g., managerial biases, consumer behavior) impacts inventory systems, pricing strategies, and forecasting accuracy. Recent articles focus on diagnostic errors under congestion, strategic sourcing biases, and dynamic pricing experiments.
Patricia Wellmeyer is an Associate Professor of Teaching and Academic Director of the Master of Professional Accountancy (MPAc) program at the Paul Merage School of Business, University of California, Irvine. She plays a key leadership role in shaping accounting education and curriculum innovation. Her educational background includes: PhD in Management, Accounting – NHH School of Economics, 2016 Master of Science in Accounting – CSU Fullerton, 2002 BS in Business – UC Riverside, 1996 Her research focuses on audit quality, financial reporting standards, and the evolving role of accounting in the digital age. She has pioneered the integration of data analytics and ESG (Environmental, Social, and Governance) topics into the accounting curriculum, reflecting current industry transformations. Her work bridges academic rigor with practical application, informed by over a decade of experience as a practicing CPA. She is actively engaged in professional service, founding the annual UCI Audit Committee Summit and maintaining membership in prominent organizations including the American Accounting Association (AAA), American Institute of CPAs (AICPA), California Society of CPAs (CalCPA), and National Association of Corporate Directors (NACD). As a dedicated educator and program leader, she has developed numerous courses across undergraduate and graduate levels, significantly contributing to the academic mission of the Merage School. Patricia has no listed scientific awards in the provided text. She advises and leads academic programs, notably serving as the academic director of the MPAc program, which she helped co-found. She has developed key electives including the accounting data analytics and ESG curriculum tracks. There is no mention of grant funding in the provided material. She founded and chairs the UCI Audit Committee Summit, an initiative that brings together professionals and academics to discuss governance and audit practices, serving as a platform for knowledge exchange and industry engagement.
Associate Professor Sam Kirshner is a faculty member at the University of New South Wales within the School of Information Systems and Technology Management . His research focuses on behavioral decision making , algorithmic impact on operations , and artificial intelligence applications in business contexts. PhD in Management Science from Queen’s University, Canada Teaching expertise in data visualization, predictive analytics, and AI ethics Co-author of Business Analytics: A Management Approach Member of the Ethical AI Advisory His research explores how psychological distance and construal level theory influence decisions in supply chains, technology management, and consumer behavior. Recent work examines ChatGPT's decision biases , algorithm aversion , and sustainable operations under financial constraints. Key publication trends show focus areas: AI ethics and human-AI collaboration Behavioral supply chain analysis Temporal/spatial psychological distance effects CO2 forecasting with sparse data Consumer behavior in digital platforms Virtual reality and cognitive processing Supervision roles include mentoring 2 PhD students and 6 honors students, contributing to the next generation of scholars in business analytics and technology management.
Jack B. Soll is the Gregory Mario & Jeremy Mario Distinguished Professor of Management and Organizations at Duke University's Fuqua School of Business. He joined Duke in 2005 after roles at INSEAD and visiting positions at Chicago and Wharton. His Ph.D. from the University of Chicago focused on behavioral science and economics. Research : Soll specializes in the psychology of judgment and decision making, particularly overconfidence, group decision making, and behavioral policy implications. He has pioneered studies on: Overconfidence's societal impacts Wisdom of crowds dynamics Decision biases in hiring and energy policy Teaching : Teaches decision making, leadership, and statistics across executive and MBA programs. Known for bridging academic research with practical managerial insights. Awards : Decision Analysis Publication Award (2021) Key Contributions : Co-created the 'MPG Illusion' concept showing consumer misunderstandings of fuel efficiency Pioneered 'self-blinding' techniques to reduce decision biases Advanced understanding of advice-taking dynamics in organizations
Stephen Leider is the Dale L. Dykema Professor of Business Administration and Professor of Technology and Operations at the Ross School of Business, University of Michigan. His research focuses on behavioral economics and operations, exploring contracts, bargaining in supply chains, dynamic decision-making, and technology’s role in productivity. He holds a BA from Case Western Reserve University, and MA and PhD from Harvard University. Leider’s research spans behavioral operations management, including studies on symbolic awards in buyer-supplier relations, innovation sharing in product development, and the impact of decision rights. His work integrates experimental, theoretical, and empirical methods to address operational challenges influenced by human behavior. His recent articles highlight trends in algorithmic decision-making, replication studies in operations research, and the design of enterprise social media platforms. Education: BA in Economics, Case Western Reserve University (2003) MA and PhD in Business Economics, Harvard University (2006, 2009) Leider’s research has been published in top journals like Management Science and Manufacturing & Service Operations Management . He co-authored The Handbook of Behavioral Operations (2018), emphasizing interdisciplinary approaches to operational challenges. His work often bridges theory and practice, offering insights into how behavioral factors shape organizational and supply chain dynamics. Leider’s advising and grants focus on behavioral operations and entrepreneurship. He has collaborated on studies involving field experiments in the Philippines, exploring vote-selling and its implications for institutional trust. His lab focuses on behavioral analysis of strategic interactions and dynamic resource allocation, with ongoing projects on algorithm reliance and human decision-making under uncertainty.
Konstantinos Pelechrinis is an Associate Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. He holds a Ph.D. in Computer Science from the University of California, Riverside. His research focuses on network science, urban informatics, and sports analytics. He has been recognized with the Army Research Office Young Investigator Award for his contributions. Education: Ph.D. in Computer Science, University of California, Riverside Research Interests: Urban mobility patterns and infrastructure analysis Sports performance quantification and strategy Data-driven decision-making in transportation systems Network science applications in social and urban systems His recent work explores topics such as implicit biases in sports refereeing, anomaly detection in NFT markets, and optimizing bike-sharing systems using predictive models. He also investigates urban infrastructure resilience through projects like the Epui platform for experimental urban informatics. Awards: Army Research Office Young Investigator Award He contributes to academic outreach through courses like TELCOM2125 (Network Science and Analysis) and collaborates on initiatives like the Healthy Ride Pittsburgh bike-sharing study. His lab focuses on bridging theoretical models with real-world urban and sports datasets.
Feng Yeo is an Associate Professor of Accounting at the Darla Moore School of Business, University of South Carolina. He specializes in risk and uncertainty disclosures, disclosure regulations, and their impacts on capital markets. His research bridges accounting practices with investor and managerial behaviors, focusing on how risk-related information influences decision-making. Education Ph.D. in Accounting, Nanyang Technological University (2016) – funded by Nanyang President’s Graduate Scholarship Bachelor of Accountancy (First Class Honors), Nanyang Technological University (2010) Research Focus Yeo’s work examines how risk disclosures affect managers’ accounting choices, investors’ perceptions, and regulatory outcomes. Key themes include: Impact of disclosure framing and formats on investor judgments Role of critical audit matters in shaping managerial estimates Effectiveness of regulatory regimes in guiding disclosure practices Teaching He teaches courses on consolidated financial statements, hedge accounting, and International Financial Reporting Standards (IFRS). Grants & Labs No specific grants or lab affiliations mentioned in the text.
Benjamin E. Hermalin is the Executive Vice Chancellor & Provost at the University of California, Berkeley. He holds dual appointments as the Thomas & Alison Schneider Distinguished Professor of Finance at the Haas School of Business and as a Distinguished Professor of Economics in the Department of Economics. His academic career at Berkeley spans over three decades since joining as an assistant professor in 1988 after completing his PhD at MIT. Professor Hermalin's research focuses on corporate governance, leadership, the economics of organization, industrial organization, contract theory, and law and economics. His work bridges theoretical economic models with practical applications in business and policy. He has developed influential frameworks for understanding board composition, executive compensation, organizational leadership, and two-sided markets. Hermalin's publications reveal a consistent focus on governance structures and organizational design. His research explores how formal and informal institutions shape economic outcomes, with particular attention to the interplay between leadership, incentives, and organizational culture. His work on two-sided markets has provided foundational insights for understanding platform economics and network effects. Schwabacher Award for outstanding teaching and research (1993) Earl F. Cheit Outstanding Teaching Award (1991) Throughout his career, Hermalin has held significant administrative positions including Economics Department Chair (2005-2008), Chair of the Academic Senate (2015-2016), and Vice Provost for the Faculty (2016-2022). He has served on the Board of Directors of the National Bureau of Economic Research and was co-editor of the RAND Journal of Economics.
Dr. Maria Cadiz Dyball is an Associate Professor in Accounting at the University of Sydney Business School. She holds a PhD and MCom (Honours) from UNSW Sydney and a BSc in Business Administration and Accountancy from the University of the Philippines. Her roles include Academic Director of the University of Sydney Accounting Foundation and Honours Coordinator for the Discipline of Accounting. Dr. Dyball is an active researcher, supervisor, and educator with expertise in audit practices, management controls, and professional ethics. She has served on editorial boards for journals like Abacus and Accounting History , and on professional panels for CIMA and AFAANZ. Her research focuses on accounting profession dynamics, audit skepticism, blockchain's impact on auditing, and sustainability in education. Notable awards include the 2007 Mary Parker Follett Award for outstanding research. Recent work explores blockchain's effects on accounting firm models and audit approaches, as well as historical studies of labor controls in colonial contexts. Dr. Dyball teaches courses on managerial accounting, corporate governance, and research methodology. Her grants include studies on modern slavery legislation operationalization, ethics education, and inter-organisational innovation controls. She has co-authored books like Sustainability in Accounting Education and led projects on non-profit accountability mechanisms and CEO stakeholder values. Her interdisciplinary research bridges historical accounting practices, modern technology adoption, and ethical frameworks. Current projects include professional skepticism in audits and disruptive technology's role in reshaping accounting professions.
Sarah E. Stein is an Associate Professor and Deloitte Foundation Faculty Fellow in the Department of Accounting and Information Systems at Virginia Polytechnic Institute and State University (Virginia Tech). She serves as Director of the Ph.D. Program within the Pamplin College of Business. Her academic journey includes a Ph.D. from the University of Missouri, a B.S. and M.S. in Accounting from Truman State University, and CPA licensure in Colorado. Prior to academia, she worked as an audit manager at Deloitte in Denver. Education: Ph.D., University of Missouri; B.S. and M.S., Truman State University; CPA (Colorado) Roles: Deloitte Foundation Faculty Fellow, Director of Ph.D. Program Dr. Stein’s research focuses on auditor expertise, corporate governance, auditing networks, and financial reporting challenges. Her work has been published in top journals like The Accounting Review and Auditing: A Journal of Practice & Theory . She received the 2019 Best Paper Award in Issues in Accounting Education and the 2020 Innovation in Auditing Education Award for her data visualization audit case. Her recent articles (2023–2025) highlight themes such as audit committee responsibilities, CFO-audit partner dynamics, and small accounting firm strategies. Her teaching includes graduate auditing courses and PhD seminars. Research trends in her articles emphasize audit quality, governance evaluation, and emerging technologies in auditing. She actively contributes to professional standards through commentaries on PCAOB releases. Awards: 2019 Best Paper Award, 2020 Innovation Award, Deloitte Doctoral Fellowship Dr. Stein advises the Ph.D. program and collaborates with industry on audit innovation. Her lab focuses on auditing education and case development, reflecting her commitment to bridging academic research and practical application.
Tara Reich is an Associate Professor in Organisational Behaviour and Human Resource Management at King's Business School, King's College London. She previously held positions at the London School of Economics (2011-2018) and the University of Surrey (2018-2019). Her research focuses on workplace relationships, particularly the psychological impacts of workplace mistreatment and observer reactions to such behaviors. She teaches core modules on the Human Resource Management & Organizational Analysis MSc and an elective on the Business Management BSc. Education: PhD in Organizational Behaviour, University of Manitoba, Canada (2011) Research Interests: Workplace mistreatment mechanisms and consequences Observer perspectives on workplace deviance Employee well-being and psychological safety Work-family interface dynamics Publications Trends: Her work consistently examines how workplace aggression, incivility, and harassment affect observers and targets, with notable contributions to understanding observer reactions to counterproductive work behavior. Recent studies explore ethical leadership's role in shaping moral identity and workplace ostracism dynamics. Advising & Grants: Currently accepting PhD students in organizational behavior and HRM. Active in securing research grants focused on workplace mistreatment and organizational psychology.
Dr. Matteo Montecchi is a Senior Lecturer (Associate Professor) in Marketing at King’s Business School, King’s College London, where he also serves as Theme Lead for Sustainable Consumption at the Centre for Sustainable Business and Programme Director for the Strategic Marketing (Open Executive) programme. He teaches core modules such as Consumer Behaviour, Digital Marketing, and Research Methods, and leads executive education initiatives. Previously, he was a Senior Lecturer at the London College of Fashion, University of the Arts London, and has held visiting positions at Milan Politecnico, Università Cattolica del Sacro Cuore, and Università Federico II. Montecchi earned his PhD in Marketing from King’s College London, an MRes in Marketing from Birkbeck College, an Executive Master in Marketing and Sales from SDA Bocconi and ESADE, and a Bachelor’s in Business Economics from the University of Modena and Reggio Emilia. He also holds a PgCert in Academic Practice and is a Fellow of the Higher Education Academy (FHEA). His research focuses on the digital transformation of marketing, particularly the role of artificial intelligence and blockchain in enhancing transparency and trust. He investigates ethical engagement with diverse consumer groups, inclusion, and corporate responsibility, with a special interest in marginalized communities. His work integrates consumer behavior, digital interactions, and decision-making with technological innovation, offering actionable insights for sustainable and responsible business strategies. The most recent 15 publications reflect a strong trend in AI in retail, brand transparency, consumer trust, ethical data use, voice technologies, and social sustainability. His research spans journals in marketing, psychology, interactive marketing, and business ethics, demonstrating interdisciplinary impact. Scientific Awards: KingsCAT: Capture and Analysis Tool for Social Media Research at King’s College London (2024) – Recognized as part of a collaborative team for advancing digital research infrastructure and media analysis. Montecchi is actively involved in PhD supervision and is accepting new students. He has led research projects using social media analytics (KingsCAT) and has contributed to strategic debates on grand challenges in marketing. His work connects academic research with real-world managerial applications, particularly in digital strategy and ethical innovation. He is a key contributor to interdisciplinary research through tools like KingsCAT, which supports collaborative social media analysis, and his publications often involve co-authorship with experts in data science, psychology, and organizational behavior.
Prof. Nicola Breugst is a Professor of Entrepreneurial Behavior at the TUM School of Management, Technical University of Munich. Her research focuses on the psychological dimensions of entrepreneurship, particularly the interplay between founders' thought processes, emotions, and their social/environmental contexts. She explores how entrepreneurial teams influence decision-making, employee motivation, and venture success. Her work challenges the 'lone entrepreneur' myth, emphasizing systemic interactions between founders and their ecosystems. Education: B.A. in Psychology from Ludwig Maximilian University of Munich; Ph.D. in Entrepreneurship from Friedrich Schiller University Jena. Professional Experience: Held academic roles at the University of Duisburg-Essen, Max Planck Institute for Economics, Indiana University Kelley School of Business, and National University of Singapore. Research Interests: Entrepreneurial cognition, team dynamics, equity distribution, founder relationships, and the socio-economic factors shaping new ventures. Notable contributions include studies on trust in teams, envy's role in performance, and pivoting strategies in uncertain markets. Awards: 2022 Teaching Excellence Award (TUM School of Management), 2020 Best Paper in Entrepreneurial Cognition (Academy of Management), and multiple recognitions for mentorship and scholarly contributions. Grants/Advising: Extensive supervision of doctoral students (2018 award), with research supported by international collaborations. Active in entrepreneurial education and cross-cultural studies.
Michael T. Durney is an Assistant Professor in the Department of Accounting at the University of Iowa's Tippie College of Business. His research focuses on judgment and decision-making in financial reporting, with implications for corporate disclosures and investor behavior. He holds a PhD in Accounting from Cornell University, an MS in Management from Cornell University, and a MAC in Professional Accountancy and BS in Accounting from Brigham Young University. Durney is a Certified Public Accountant (CPA) in the State of Georgia. Research Interests Judgment and decision-making in financial reporting Corporate disclosure practices Investor decision-making processes Scientific Awards Gilbert P. Maynard Excellence in Accounting Instruction Award (2025, 2022) Outstanding Doctoral Dissertation - American Accounting Association (2020) Deloitte Foundation Doctoral Fellowships (2017-2019) AAA/Deloitte Doctoral Consortium Fellow (2018) Multiple University of Iowa teaching and mentorship awards (2023-2025) Recent Publications Investigated earnings forecasting in remote work environments (2025) Analyzed CEO activism impacts on investor decisions (2024) Explored segment reporting limitations (2024) Examined private communication dynamics with investors (2023-2024) Licenses Certified Public Accountant (CPA), State of Georgia (2014)
