جست‌وجوی استاد و پژوهشگر

Matthew Bidwellمشاهده پروفایل

استاد

• careers
• contingent work
• firm boundaries
• +۴ مورد دیگر

Matthew Bidwell is a Professor of Management at the Wharton School of Business, University of Pennsylvania . His research focuses on evolving employment relationships, career dynamics, and human resource management in modern labor markets. He serves as faculty co-director of the Wharton People Analytics Initiative and faculty director of the Wharton CHRO Program. Ph.D., MIT Sloan School S.M., Political Science, MIT M. Chem, Oxford Bidwell's research examines international career mobility , managerial contracting , and organizational labor market strategies . His work reveals complex relationships between global mobility and compensation, and analyzes how institutions like search firms shape career trajectories. Recent publications show trends in cross-border employment , executive career progression , and status-driven wage dynamics . His studies utilize longitudinal datasets and organizational personnel records to uncover patterns in managerial mobility. Scientific Recognition Wharton Teaching Excellence Award (2020) ASQ Scholarly Contribution Award (2017) John T. Dunlop Outstanding Scholar Award (2014) Sloan Foundation Industry Studies Fellowship (2010-2012) Bidwell has served as Senior Editor at Organization Science and contributes regularly to business media outlets. His teaching emphasizes evidence-based people management through the People Analytics course at Wharton.

• Human Resource Management
• Organizational Behavior
• HR Analytics
• +۷ مورد دیگر

Dr. Hanbo Shim is an Assistant Professor in the Department of Management at The University of Texas at Arlington, College of Business. He holds a PhD in Industrial Relations and Human Resources from Rutgers University and a BA in Mathematics and Economics from the University of Illinois at Urbana-Champaign. His research and teaching focus on Human Resource Management, Organizational Behavior, and HR Analytics. PhD, Industrial Relations and Human Resources, Rutgers University (2022) MS, Industrial Relations and Human Resources, Rutgers University (2019) MA, Human Resource Management, Rutgers University (2016) BA, Mathematics and Economics, University of Illinois (2012) Dr. Shim's research explores the temporal dynamics of employee performance, compensation systems, emotional intelligence, and social networks in organizations. He uses longitudinal analysis, multilevel modeling, meta-analysis, and computer simulation to examine how individual and interpersonal factors influence organizational outcomes. His work bridges HR analytics with behavioral science. His recent publications span topics such as green HRM, pay policy dynamics, emotional intelligence, and HR analytics education. These works reflect a strong interdisciplinary approach integrating psychology, sustainability, data science, and strategic management. His research has been presented at leading conferences including the Academy of Management and European Reward Management Conference. Award highlights include: Ralph Alexander Best Dissertation Award (2024) Innovative Teaching Award, Academy of Management HR Division (2022) Best Student Convention Paper Award (2020) Best Doctoral Conference Paper Award, Samsung Economic Research Institute (2020) Dr. Shim actively advises students through capstone and honors projects and serves on PhD and graduate studies committees. He has collaborated with SL Corporation on HR analytics and developed open-source educational materials. His service includes editorial board membership for Compensation & Benefits Review and ad hoc reviewing for top journals. He is also engaged in professional development workshops and public speaking, including for the Society for Human Resource Management at UTA. His lab and research activities emphasize simulation-based methods and real-world HR analytics applications.

Akshay R. Raoمشاهده پروفایل

استاد

• Consumer Behavior
• Pricing Strategy
• Brand Management
• +۸ مورد دیگر

Akshay R. Rao is a Professor and General Mills Chair in Marketing at the University of Minnesota's Carlson School of Management . He holds a PhD in Marketing from Virginia Tech and has served as founding Director of the Institute for Research in Marketing (2005-2010) and Chairman of the Marketing & Logistics Management Department (2003-2006). Rao has also held visiting positions at MIT and Hong Kong University of Science & Technology. Bachelor of Arts in Economics (Honors), Madras University (1978) Master of Business Administration in Marketing, XLRI - Xavier School of Management (1980) Doctor of Philosophy in Marketing, Virginia Polytechnic Institute and State University (1986) Rao's research spans consumer behavior, pricing strategy, brand management , and political marketplace segmentation , with recent work examining vaccine hesitancy , political ideology effects on consumer behavior , and fake news dynamics . His work appears in top journals including Journal of Consumer Research , Journal of Marketing , and Harvard Business Review , covering topics from neuromarketing to information economics . Scientific recognition includes: Robert Ferber Award (1987) Harold Maynard Award (2000) Distinguished Alumnus, XLRI (2011) He has testified before the Federal Trade Commission and served on editorial boards of Journal of Consumer Research and Journal of Marketing . Beyond academia, Rao consults for global firms like 3M and Medtronic, and has conducted the Minnesota Orchestra twice in 2024-2025.

Thijs Broekhuizenمشاهده پروفایل

دانشیار

• Innovation Adoption
• Value Appropriation
• Digital Business Models
• +۹ مورد دیگر

Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.

Julia DiBenignoمشاهده پروفایل

استاد

• Sociology of work and occupations
• Collaboration between professional groups
• Upward influence and voice
• +۵ مورد دیگر

Julia DiBenigno is a Professor of Organizational Behavior at Yale School of Management, where she has been faculty since 2016 and was promoted to full professor in 2023. She holds a courtesy appointment in Sociology and is an organizational ethnographer whose research focuses on the sociology of work, professional collaboration, upward influence, and organizational change. Her research interests include understanding how professional groups collaborate across boundaries, how frontline workers can effectively voice concerns upward in organizational hierarchies, and how organizations navigate change during crises. She specializes in qualitative, ethnographic methodologies, immersing herself in organizational settings ranging from hospitals to the U.S. Army to uncover the social dynamics that shape workplace behavior. DiBenigno's publication record includes multiple articles in top journals like Administrative Science Quarterly and Organization Science, with her most recent work examining how crises create opportunities for implementing long-resisted changes. Her research demonstrates patterns where frontline staff can successfully push through organizational resistance when they move quickly and demonstrate both short- and long-term value of their proposals. Ned Smith Rising Star Award, Organization & Management Theory Division of the Academy of Management, 2023 Thinkers50 Radar List, Class of 2022 Equity, Diversity, and Inclusion Research Award, NYU Wagner, 2021 Grigor McClelland Best Dissertation Award, EGOS, 2017 W. Richard Scott Outstanding Paper Award, American Sociological Association, 2016 As an educator, DiBenigno teaches Managing Groups & Teams and Power & Politics at Yale SOM. Her research on team dynamics has revealed insights about coordination loss, the common knowledge problem in group decision-making, and how hierarchical structures can both help and hinder effective teamwork. Her work with healthcare providers during the pandemic demonstrated how team identification reduces stress and burnout among frontline workers.

Federica De Stefanoمشاهده پروفایل

دانشیار

• Strategic Human Capital
• Employee Mobility
• Career Development
• +۳ مورد دیگر

Federica De Stefano is an Associate Professor of Organisation Studies at Saïd Business School, University of Oxford, and a Research Fellow of Green Templeton College. She serves on editorial boards for Organization Science , Human Resource Management , and Human Resource Management Review , while holding roles in the Strategic Management Society (SMS). Previously, she was an Assistant Professor at HEC Paris and a Post-Doctoral Fellow at Wharton People Analytics. She earned a PhD from Bocconi University, with additional degrees from Fudan University and Bocconi. Her research focuses on people management's impact on organizational and individual outcomes, including employee mobility, workplace safety, and social sustainability. Using quantitative methods and large datasets, her work has been published in top journals like Academy of Management Journal and Strategic Management Journal . She has received the Marie Curie Individual Fellowship and recognition as a top 40-under-40 MBA professor. Teaching focuses on people analytics and management, with a 2023 completion of the International Teachers Program (ITP). Her research grants and collaborative work at Wharton People Analytics underscore her commitment to advancing strategic human capital practices. Federica's work bridges academic rigor with real-world organizational challenges, emphasizing ethical and sustainable workforce strategies.

• Machine Learning and Deep Learning
• Big Data and Artificial Intelligence in Accounting
• Accounting Fraud
• +۳ مورد دیگر

Nurul Alam is a Lecturer in Accounting at the University of Sydney Business School. His research focuses on machine learning applications in finance and accounting, corporate distress prediction, and financial reporting. He holds a PhD from the University of Sydney, where he investigated machine learning models for US corporate bankruptcies. His teaching excellence has earned over 15 awards, including multiple Dean’s Citations and nominations for the Wayne Lonergan Award for Teaching Excellence. Education Master of Commerce (Finance & Accounting), University of Sydney Bachelor of Business Administration (Finance & Banking), University of Rajshahi, Bangladesh Research Interests Machine Learning and Deep Learning in accounting and finance Big Data analytics for corporate financial decision-making Accounting fraud detection mechanisms Financial reporting standards and regulations Current Projects Corporate bankruptcy prediction using survival models and AI Deep Learning applications in panel data analysis for firm distress Machine learning variable selection in corporate finance Accounting fraud patterns among lower/mid-level employees Teaching Contributions Financial Accounting B (ACCT3011) Quantitative Methods for Accounting (QBUS5002) Quantitative Business Analysis (BUSS1020)

Aybars Tuncdoganمشاهده پروفایل

دانشیار

• Digital Innovation
• Information Security
• Marketing Strategy
• +۳ مورد دیگر

Aybars Tuncdogan is a Reader in Digital Innovation and Information Security at King’s Business School, King’s College London. He holds affiliations with the King’s AI Institute, King’s Cybersecurity Centre (Informatics), and King’s Cybersecurity Group (War Studies). A Fellow of the Higher Education Academy, he also serves on the editorial review board of Industrial Marketing Management . Education : PhD in Management, Rotterdam School of Management, Erasmus University MPhil in Business Research (Distinction), Erasmus University Bachelor’s in Business Management & Computer Science (Honors), Earlham College Research Interests : His work focuses on three pillars of digital innovation: generation (crowdsourcing, AI), marketing (digital brand personality, sales ambidexterity), and protection (information security, corporate espionage). He integrates psychology (individual differences, social identity) and computer science (machine learning/AI) frameworks. Publications Trends : Recent work addresses cybersecurity challenges in retail, AI ethics in healthcare, and interdisciplinary innovation. He frequently publishes in top-tier journals like Journal of Management and Scientific American , blending academic rigor with practitioner impact. Awards & Contributions : 2015 Best Paper Award (shared) Edited books including Oxford Handbook of Individual Differences and Strategic Renewal Teaching & Pedagogy : Develops innovative teaching methods like inquiry-based learning to foster student creativity. Taught modules on digital marketing, consumer behavior, and research methods. Labs/Teams : Contributes to cybersecurity initiatives at King’s, focusing on AI-driven defense mechanisms and organizational cyber resilience strategies.

Nemanja Stanišićمشاهده پروفایل

استاد

• Corporate Finance
• Banking
• Audit
• +۳ مورد دیگر

Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.

• Venture Capital
• FinTech
• Entrepreneurial Finance
• +۴ مورد دیگر

Debarshi K Nandy is Barbara and Richard M. Rosenberg Professor of Global Finance at Brandeis International Business School. He serves as MSF Program Director and Senior Associate Dean, with affiliations in Economics and Social Policy. Research focuses on venture capital, FinTech innovation, and entrepreneurial finance. Holds a Ph.D. from Boston College and M.S. from University of Calcutta. Research explores venture capital ecosystems, corporate payout policies, private equity impacts on trade, and behavioral aspects of financial decision-making. Recent work examines hedge fund strategies and student debt effects on investment behavior. Publications demonstrate consistent focus on financial intermediation mechanisms, with methodological innovation in natural experiments and empirical finance techniques. Fama/DFA Prize for Capital Markets and Asset Pricing Best Paper in Financial Institutions (FMA) Provost Research Award Directs Masters in Finance program and mentors startups. Affiliated with U.S. Census Bureau and NBER, with NSF and SSHRC research grants supporting work in financial innovation.

Ali Lazrakمشاهده پروفایل

دانشیار

• Asset Pricing
• Corporate Finance
• Behavioral Finance
• +۵ مورد دیگر

Ali Lazrak is an Associate Professor at the Sauder School of Business , University of British Columbia , specializing in Finance . He holds the Peter Lusztig Professorship in Finance and teaches courses such as International Financial Markets and Institutions and Theory of Finance (2024-2025). His research bridges Political Economy , Asset Pricing , and Behavioral Finance , with a focus on ESG concerns , Voting Theory , and Time Inconsistency . Education: ENSAE (B.Sc.), Sorbonne (M.Sc.), Toulouse (Ph.D.) Contact: Henry Angus Building (HA 872), +1 604.822.9481, ali.lazrak@sauder.ubc.ca His work explores group decision-making in corporate investment, green finance (e.g., the green premium in ESG markets), and time-inconsistent preferences in continuous games. Recent publications highlight how responsible consumption and demand elasticity shape asset prices, and how institutional divestiture impacts harmful asset stranding through informational and economic channels. Scientific accolades include the Jacob Gold & Associates Best Paper Prize (2019), Best Paper Awards at HEC-McGill, UBC, Luxembourg, and Stanford conferences, and the Peter Lusztig Professorship . His methodological expertise spans stochastic control , recursive utility , and dynamic equilibrium analysis .

Thierry Foucaultمشاهده پروفایل

استاد

• Financial Markets Liquidity
• Market Microstructure
• Big Data in Finance
• +۵ مورد دیگر

Thierry Foucault serves as HEC Foundation Chaired Professor of Finance at HEC Paris, where he conducts influential research at the intersection of financial markets and technology. His work focuses on the determinants of financial markets liquidity and informativeness, the industrial organization of markets, and their effects on the real economy. His primary research interests include Big Data applications in finance, artificial intelligence in trading technologies, over-the-counter (OTC) markets, and how stock markets influence corporate decisions regarding investment and product choices. Foucault's recent work has increasingly examined how technological advancements reshape traditional financial market structures and corporate behavior. Foucault's research portfolio demonstrates a clear progression toward understanding how data abundance and AI transform market dynamics. His publications span theoretical models, empirical investigations, and policy implications, with particular emphasis on how alternative data sources affect traditional expertise in fund management, how algorithmic approaches change market maker behavior, and how investor information horizons influence corporate investment decisions. European Research Council (ERC) Advanced Grant (2021) for a five-year research project on Big Data and AI in financial markets Co-managing editor of the Journal of Financial and Quantitative Analysis (JFQA) since September 1, 2021 As an academic leader, Foucault actively mentors PhD students and collaborates with researchers worldwide. His editorial position at JFQA places him at the forefront of scholarly discourse in quantitative finance. While specific grant details aren't provided in the text, his ERC Advanced Grant represents significant research funding supporting his work on technology's impact on financial markets and corporate investment.

Roberto M. Fernandezمشاهده پروفایل

استاد

• Organizational Behavior
• Social Networks
• Human Resources Management
• +۵ مورد دیگر

Roberto M. Fernandez is the William F. Pounds Professor at MIT Sloan School of Management, with over 35 years of experience in academia. He previously held the rank of Full Professor at Stanford University's Graduate School of Business. His expertise spans organizational behavior, social networks, and human resources, with over 60 published articles and research papers. He has been honored with multiple teaching awards including the Jamieson Prize (2009), Frank E. Perkins Award (2011), and MIT Sloan Outstanding Teacher Award (2023-2024). Education: BA in Sociology (Harvard University, magna cum laude), MA and PhD in Organizational Sociology (University of Chicago). Research Interests: Gender disparities in hiring, labor market dynamics, social networks' role in employment, and AI's impact on national security. Executive Education: Leads programs on organizational transformation, AI strategies, and enterprise-wide change management. Co-leads the AI for National Security Program for the U.S. government. International Engagement: Worked with organizations in over 40 countries, including consulting for top executives in industries like automotive, finance, and healthcare. Awards also include election as a Fellow of The American Academy of Political and Social Sciences (2012) and recognition for mentoring through the Committed to Caring Award (2023).

• Strategy
• Business Model Innovation
• Crowdsourcing
• +۷ مورد دیگر

Professor Allan Afuah is a distinguished academic at the Stephen M. Ross School of Business, University of Michigan, specializing in strategy. He holds a PhD and MS from MIT. His research focuses on business model innovation, crowdsourcing, technological innovation, and open innovation. He has won prestigious awards, including the 2022 AMR Decade Award for his work on crowdsourcing. Afuah teaches courses on managing innovation in digital markets, emphasizing how firms like Apple and Amazon create value in uncertain environments. His books, such as Business Model Innovation and Creating and Capturing Value through Crowdsourcing , explore strategic frameworks for competitive advantage. His work often bridges theory and practice, addressing challenges in digital transformation and organizational strategy. Education: PhD (1994) and MS (1990) in Strategy from MIT. Awards include the AMR Decade Award, AMR Managerial Practice Award, and Ross School’s MBA Teacher of the Year. His research has been published in top journals like Academy of Management Review and Strategic Management Journal . Research Interests: Business Model Innovation Crowdsourcing and Open Innovation Technological Change and Strategy Competitive Advantage User-Driven Innovation Global Markets and Digital Transformation His articles analyze topics like multisided platforms, network effects, and the strategic implications of digital ecosystems. He advocates for frameworks that help firms navigate disruption and leverage innovation for sustained growth.

Mustafa B. Ozturkمشاهده پروفایل

استاد

• Workplace Equality
• Diversity and Inclusion
• Gender Studies
• +۳ مورد دیگر

Mustafa B. Ozturk is a Professor of Human Resource Management at Queen Mary University of London's School of Business and Management, affiliated with the Department of People and Organisations. He holds roles as Programme Director for the MSc International Human Resource Management and coordinator for the International Foundation Programme and Pre-Masters. His academic journey includes a BA in Economics and Politics from New York University, followed by MA and PhD studies at the University of Chicago, focusing on the political economy of human capital. Dr. Ozturk's research emphasizes workplace equality, diversity, and inclusion, particularly addressing systemic disadvantages related to gender identity, sexual orientation, race, and ethnicity. He is a member of the Centre for Research in Equality and Diversity (CRED) and actively supervises doctoral students exploring themes like gender inequality in finance, ethnic minority entrepreneurship, and global diversity management. His teaching includes BUS269: Organisational Behaviour. Research interests span both developed and developing regions, including Turkey, China, and the UK. He has published widely on topics such as racialized incivility, LGBTQ+ workplace inclusion, and gender equality in global contexts. Supervision expertise includes doctoral projects on intersectionality in talent management, corporate socio-political activism, and gender disparities in finance.