Professor John Shields is a distinguished academic in Human Resource Management and Organisational Studies at the University of Sydney’s Business School. He holds a BA(Hons) from ANU and a PhD from the University of Sydney. As Academic Director International, he oversees global strategies for the Business School’s international partnerships and recruitment. His roles have included Associate Dean (Programs), Deputy Dean, and Chair of the Faculty Board, reflecting his extensive leadership within the institution. In research, Shields focuses on performance management, reward systems, corporate governance, and international education. He co-authored seminal textbooks like *Managing Employee Performance and Reward* and *Human Resource Management: Strategy and Practice*. Current projects explore performance management transformation, pay secrecy disclosure, and gaming’s psychological impacts. His teaching spans undergraduate and postgraduate courses such as Strategic HRM and Global Leadership. Shields has supervised over a dozen PhD students, with topics ranging from Saudi Arabian workplace dynamics to corporate governance in Australian firms. Recognized with the 2008 Wayne Lonergan Teaching Award, he actively contributes to professional bodies like the Australian Human Resources Institute. Publications highlight his influence in HRM theory and practice, including studies on CEO remuneration, board capital, and pandemic-era worker resilience. His interdisciplinary work bridges organizational behavior, economics, and policy, positioning him as a key figure in contemporary HRM research.
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Alan Marcoمشاهده پروفایل
دانشیار
Alan Marco is an Associate Professor at the Jimmy and Rosalynn Carter School of Public Policy within Georgia Tech's Ivan Allen College of Liberal Arts. His research focuses on innovation policy, patent economics, and intellectual property strategy. Previously, he served as Chief Economist at the U.S. Patent and Trademark Office (USPTO), where he co-created PatentsView.org and led the Cancer Moonshot Patent Challenge. Research interests span antitrust regulation, patent valuation, technology markets, and empirical legal studies. Marco holds a Ph.D. in economics from UC Berkeley and a B.A. from Skidmore College. Publications demonstrate expertise in patent analytics, with recent work examining strategic citation behaviors, FRAND royalty calculations, and links between antitrust enforcement and innovation. Research methodologies emphasize large-scale data analysis of USPTO records, litigation outcomes, and market transactions.
Raquel Camposمشاهده پروفایل
استادیار
Dr Raquel Campos is an Assistant Professor (Education) of Management at the Department of Management, London School of Economics and Political Science (LSE). Her work focuses on the impact of information technologies on institutional performance across firms and universities. She holds dual expertise in economics (PhD, MSc from Universidad Rey Juan Carlos) and engineering (BSc in Electrical Engineering and Computer Science). Prior to academia, she worked in IT project management and consulting in Spain and the US. Key qualifications include a PhD in Economics (2013) and MSc in Economics (2009), both from Universidad Rey Juan Carlos. She also completed the University of London’s BSc in Economics and Management via its external program. Her multidisciplinary background spans electrical engineering, computer science, and law. Research interests center on organizational economics, personnel economics, and ICT applications in labor markets. Notable works include studies on hurricane impacts on academic collaborations, internet recruitment strategies in Spain, and gender disparities in engineering careers. She has presented at major labor economics workshops and serves as a referee for Economics of Innovation and New Technology . Teaching responsibilities include leading the Strategy module (MG301) at LSE, where she received top teaching awards including the 2019 Excellence in Education Award. Her professional experience includes roles as Visiting Researcher at University of Kent (2015-2017), and prior IT project management roles in sectors like banking and real estate. Awards highlight her educational contributions: Top 10% performer in LSE Management Department teaching evaluations (2018-19) and Excellence in Education recognition. Current research explores missing skills for EU entrepreneurs/managers using PIAAC data in collaboration with M. Arrazola and J. de Hevia.
Professor Ute Stephan is a Professor of Entrepreneurship at King's Business School, King’s College London, where she is affiliated with the Strategy, International Management & Entrepreneurship department. She is a globally recognized scholar in the psychology of entrepreneurship, with a focus on entrepreneurial well-being, mental health, social entrepreneurship, and the role of culture and institutions. Research Interests: Entrepreneurial well-being, stress, and mental health Social and inclusive entrepreneurship Cross-cultural innovation and national culture Family business and women entrepreneurs Entrepreneurial resilience during crises (e.g., Covid-19) Feedback-seeking and social networks Her recent publications reveal a strong trend toward understanding the psychological and social dimensions of entrepreneurship, particularly how entrepreneurs navigate uncertainty, maintain well-being, and create inclusive impact. Her work integrates insights from organizational behavior, psychology, and management, often using cross-national data and meta-analytic methods. Scientific Awards and Recognition: 2025 JIBS Decade Award Fellow, International Association of Applied Psychology (IAAP) 21st Century Entrepreneurship Fellow Winner, 2016 GLOBE Robert J. House Best Research Paper Award Highly Commended, 2015 GLOBE Robert J. House Best Research Paper Award Nominee, 2021 Journal of Management Scholarly Impact Award She has secured over £3 million in research funding from the European Commission, UK Government, UK research councils, and German institutions. She serves as Associate Editor at Journal of Management and Entrepreneurship Theory & Practice , and previously held editorial leadership roles at Applied Psychology and Journal of International Business Studies . She is an elected board member of the IAAP and chairs its publication committee. She also advises the Founder Mental Health Pledge and is an IfM Research Fellow at IfM Bonn. Labs and Research Teams: Lead investigator of the 25-country study on Entrepreneurship & COVID-19 Principal investigator of the WEWell project on women entrepreneurs’ well-being Lead investigator of the SEFORIS and SELUSI projects on social enterprises Team member in large-scale international collaborations across Europe, Asia, and the Americas
J. Daniel Kimمشاهده پروفایل
استادیار
J. Daniel Kim is an Assistant Professor of Management at the Wharton School, University of Pennsylvania, where he teaches MBA and PhD courses on entrepreneurship and innovation. His research focuses on high-growth entrepreneurship, venture scaling, strategic human capital, mergers and acquisitions, innovation, and labor markets. PhD - MIT Sloan School of Management BA - Dartmouth College His research explores: Startup hiring challenges and firm-driven search strategies Timing and risks of venture scaling Post-acquisition employee retention patterns Founder impact on organizational change Immigrant founder contributions to entrepreneurship Key article trends show: Focus on talent dynamics in high-growth firms Analysis of organizational antecedents in acquisitions Quantitative approaches using population-level data Interdisciplinary connections between entrepreneurship, strategy, and economics Debunking myths about founder demographics Linkage between labor market mechanisms and startup performance Scientific recognition includes: Multiple Teaching Excellence Awards at Wharton (2024-2020) Best Paper Prize from Strategic Management Society (2020) Kauffman Dissertation Fellowship (2017) MIT Sloan Doctoral Thesis Prize (2019) Prof. Kim serves as an economist with the United States Census Bureau and has published in top journals including Strategic Management Journal , Organization Science , and American Economic Review: Insights . His work has been featured in The Wall Street Journal , New York Times , and Financial Times .
Zhaoli Songمشاهده پروفایل
دانشیار
Zhaoli Song is an Associate Professor at the Department of Management and Organisation within NUS Business School, Singapore. His research bridges behavioral genetics with organizational behavior, focusing on leadership, AI in the workplace, cross-cultural management, and work-family dynamics. PhD in Human Resources and Industrial Relations (2004), University of Minnesota Master in Statistics (2004), University of Minnesota Master in Applied Psychology (1999), Chinese Academy of Sciences Bachelor in Optics (1995), Sichuan University Dr. Song pioneered molecular genetics applications in management research, achieving media recognition in Economist and Washington Post . His work spans AI strategy formulation, pandemic scenario modeling, and team innovation across Asia. He has taught organizational behavior, HRM, and research methods at undergraduate, Master's, EMBA, and executive levels. Recent publications analyze AI adoption frameworks, emotional dynamics in leader-member exchanges, and genetic determinants of creativity. He served as Academic Director for NUS Asian Pacific EMBA (Chinese) program (2013-2017), demonstrating educational leadership alongside scholarly contributions.
Tan Kim Limمشاهده پروفایل
مدرس ارشد
Dr. Tan Kim Lim is a Senior Lecturer at the James Cook University (Singapore Campus), specializing in organizational psychology and consumer behavior. He holds a PhD from Curtin University (2016–2019), an MBA from the University of Melbourne (2004–2006), and a Bachelor of Business from Monash University (1999–2002). His research focuses on the future of work, employee attitudes, technology adoption in hospitality/tourism, and consumer behavior analysis. He employs advanced methodologies like PLS-SEM and has published over 47 articles in top journals like the European Business Review and Asia Pacific Journal of Marketing and Logistics . Dr. Lim has held roles including Assistant Professor at BNU-HKBU United International College (2020–2022) and Post-doctoral researcher at the Human Capital Leadership Institute (2019–2021). He currently serves on editorial boards of the Journal of Responsible Tourism Management and Journal of Global Responsibilities , and is a member of the Singapore Human Resource Institute and Society of Industrial-Organizational Psychology. His applied research spans commissioned projects for governments and private entities, including studies on waste classification behavior, country music festivals, and AI adoption in social services. Awards include the JCUS Early Career Researcher Award (2023) and Emerald Literati Reviewer Award (2022). Dr. Lim also actively speaks at regional conferences on topics like AI in networking and post-pandemic workplace trends. His current research interests include STARA (Smart Technologies, AI, Robotics, Algorithms) impacts on work, meaningful work dynamics, and tourism behavior analysis. He supervises PhD students exploring AI in social services, indigenous tourism, and workplace technology adoption.
Summary Clotilde Coron is a Full Professor of Management Sciences at the Faculté Jean Monnet, Université Paris-Saclay. She previously held an Associate Professor position at IAE Paris (2017–2022). Her research focuses on gender equality, gender stereotypes, and the role of quantification in HR management. She earned a PhD in Management Sciences (Université Paris-Est, 2015) and a HDR (Université de Poitiers, 2021). She is also a graduate of ENSAE (2012) and Sciences Po (2013). Academic Roles: Full Professor, Université Paris-Saclay Vice-President for Equality, Diversity, and Inclusion (since 2024) Elected member of the Research Committee (since 2024) Co-responsible for the M1 Master in Management (since 2023) Research Interests: Dr. Coron’s work critically examines gender equality policies, the societal impact of gender stereotypes, and the ethical implications of algorithmic HR practices. She emphasizes the need for organizations to adopt intersectional frameworks to address systemic inequalities. Grants and Projects: ANR funding for lesbian workplace inclusion (2024–2025) Research on gender in health innovation (2023–2024) Studies on chatGPT in education and LGBTQ+ mental health (2023–2024) Awards: EFMD-FNEGE Best Research Book Award (2023, 2019) FNEGE Label for multiple academic contributions Teaching: She teaches advanced courses in quantitative methods, HR analytics, and gender studies at undergraduate and graduate levels. Recent courses include Data Analysis Tools (M1), Quantitative Methods (M2), and distance-learning modules on HR management.
Scott Hsuمشاهده پروفایل
دانشیار
- Corporate Finance
- Political Economy
- Private Equity
- +۳ مورد دیگر
Scott Hsu serves as an Associate Professor in the Department of Finance at the Walton College of Business, University of Arkansas, with his office located in WCOB 475B. His academic role centers on empirical finance research with strong institutional linkages. Dr. Hsu's research critically examines how external institutions and managerial characteristics shape corporate behavior. His primary focus areas include corporate political connections , CEO attributes (notably physical attractiveness), private equity dynamics , and venture capital investment patterns . He investigates causal mechanisms through which bankruptcy laws, political networks, and executive experiences influence firm policies, innovation outcomes, and market competition. Analysis of his 12 publications (2010-2025) reveals consistent methodological rigor in studying institutional finance. Key trends include the supply-chain externalities of political connections, CEO appearance effects on firm valuation, and private equity's employment impacts. His work bridges corporate finance with political economy and innovation studies, frequently employing large-scale empirical datasets to uncover non-market forces in corporate decision-making. The 2025 paper on political connection externalities indicates ongoing active research.
Solntsev Sergey Andreevich is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE). He also serves as Deputy Head of the Laboratory of Labor Market Research. With over 23 years of scientific and teaching experience since joining HSE in 2004, he specializes in labor economics, corporate governance, and personnel policy. Candidate of Economic Sciences (2006), Lomonosov Moscow State University Master's degree in Economics (2003), Lomonosov Moscow State University Bachelor's degree in Economics (2001), Lomonosov Moscow State University His research focuses on labor market dynamics, particularly examining wage structures, personnel policies in Russian companies, top management labor markets, and the relationship between higher education and labor market outcomes. He has conducted extensive empirical research on how Russian firms adjust wages, recruit employees, and manage executive turnover, with a particular emphasis on corporate governance mechanisms. His work often utilizes unique Russian enterprise and household survey data to provide insights into labor market functioning in the Russian context. His publication portfolio demonstrates a consistent focus on Russian labor market issues, with particular attention to higher education outcomes, wage setting practices, and executive labor markets. His research combines rigorous empirical methodology with practical policy implications, contributing significantly to understanding labor market dynamics in Russia during periods of economic transition and crisis. Letter of thanks from the Rector of HSE (December 2022) Gratitude from the Faculty of Economic Sciences of HSE (February 2020) Academic Work Allowance (2014-2015, 2008-2009) Bonus for publication in a List B journal (2023-2025) Professor Solntsev teaches multiple courses including Labor Economics, Labor and Personnel Economics (in Russian and English), and Russian Economy at both bachelor's and master's levels. His teaching reflects his research expertise, providing students with insights into contemporary labor market issues in Russia. His research has been supported through institutional mechanisms at HSE, including participation in the Laboratory of Labor Market Research activities and various research projects. As Deputy Head of the Laboratory of Labor Market Research at HSE's Faculty of Economic Sciences, he contributes to one of Russia's leading research centers focused on labor market analysis. The laboratory conducts empirical studies on various aspects of the Russian labor market, often in collaboration with government agencies like Rostруд (Federal Labor and Employment Service). Professor Solntsev works closely with colleagues including Professor Sergey Roshchin, the laboratory head, on multiple research initiatives.
Louis Hickmanمشاهده پروفایل
استادیار
- Industrial-Organizational Psychology
- Algorithmic Fairness
- Machine Learning in Personnel Assessment
- +۴ مورد دیگر
Louis Hickman is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech’s Department of Psychology. He also serves as a Visiting Academic at Amazon and holds a Senior Fellow position at Wharton People Analytics, University of Pennsylvania. His research bridges technology and work, focusing on machine learning applications in organizational science, particularly automated interviews and algorithmic fairness. He leads the Workplace Assessment and Social Perceptions (WASP) Lab, exploring how biases influence hiring and using AI to reduce algorithmic bias. Hickman holds a Ph.D. in Industrial-Organizational Psychology from Purdue University (2021), alongside advanced degrees in Computer Science and Creative Writing. His work emphasizes interdisciplinary collaboration, spanning psychology, computer science, and management. Research Interests: Automated personnel assessment via AI Algorithmic bias mitigation in hiring Machine learning applications in HR and education Interpersonal perception dynamics Unproctored testing in the AI era Publications: Recent work examines automated interview validity, LLM impacts on testing, and recruitment algorithm ethics. His 2025 studies highlight risks of unproctored testing and bias in automated systems. Earlier research (2023–2022) explores text mining for personality assessment and fairness in AI-driven selection. Awards: None explicitly mentioned, though his work has been widely cited in organizational psychology and AI ethics domains. Advising & Labs: Currently not accepting graduate students for 2026, but oversees the WASP Lab. Past research collaborations include projects on LLM competencies, bias simulation, and algorithmic fairness frameworks. Grants and funding sources are unspecified in provided text.
Grace Limمشاهده پروفایل
استادیار
Grace Lim is an Assistant Professor in the Department of Management at the Nanyang Business School, Nanyang Technological University, Singapore. Her research focuses on inclusion, diversity, and the empowerment of disadvantaged employees in organizations, particularly those from lower social class backgrounds and women. Education: Ph.D. in Business (Organizational Behavior and Human Resources), Singapore Management University B.Sc. in Psychology, National University of Singapore Her research employs a range of methodologies, including field surveys, experiments, archival data, and qualitative methods, to ensure robust and generalizable findings. She investigates how individuals can exercise agency to overcome structural disadvantages in the workplace, contributing to the fields of organizational behavior, human resources, and social psychology. Her recent publications reflect a strong trend in studying diversity, inclusion, and equity, with a focus on social class, gender, leadership, and employee well-being. The research spans interdisciplinary themes, integrating insights from psychology, management, and sociology to understand workplace dynamics. Scientific Contributions: Published in top-tier journals such as Organizational Behavior and Human Decision Processes and Academy of Management Annals Research on social class, gender, inclusion, and leadership has been influential in shaping organizational practices Dr. Lim is actively involved in advancing knowledge in organizational behavior and human resources. She has not supervised any listed students yet but continues to contribute through impactful research and academic engagement. She is a member of the Centre for Leadership and Cultural Intelligence at NTU, collaborating on initiatives related to cultural intelligence and inclusive leadership.
Yiming Yang is a Professor at the Language Technologies Institute and Machine Learning Department within the School of Computer Science at Carnegie Mellon University , where he has held faculty positions since 2003. His research spans foundational and applied aspects of machine learning , artificial intelligence , and scientific computing . Professor, Carnegie Mellon University (2003–Present) Associate Professor, Carnegie Mellon University (1996–2003) Yang's research focuses on LLM-based problem-solving agents , combinatorial optimization , and scalable oversight frameworks . His work explores diffusion models, Langevin dynamics, and Fourier neural operators for NP-hard problems, while advancing reinforcement learning techniques for self-play supervision and principle-driven fine-tuning of large language models. Recent publications highlight his contributions to code synthesis , PDE solving , and multi-agent reinforcement learning . Key methodologies include demonstration-guided control, retrieval-augmented reasoning, and test-time scaling laws. His team has developed frameworks like FEEDER for efficient in-context learning and μTransfer-FNO for zero-shot hyperparameter transfer in PDE solvers. Notable scientific achievements include: Best Student Paper Runner Up (2013) Best Theoretical Paper Award (1994) Best Theoretical Paper Award (1993) Yang has mentored over 20 PhD students and postdocs, including Shengyu Feng , Zhiqing Sun , and Aman Madaan , across domains like graph learning , extreme multi-label classification , and language model alignment .
Tunye Qiuمشاهده پروفایل
مربی ارشد
- Applied Economics
- Chinese Economy
- Causal Inference
- +۴ مورد دیگر
Tunye Qiu is a recent PhD graduate in Economics from the Crawford School of Public Policy at the Australian National University (ANU) . He is currently on the job market and holds roles as a Senior Tutor and Associate Lecturer in the Research School of Economics (RSE) at ANU, where he has taught courses in microeconomics, macroeconomics, game theory, and policy impact evaluation since 2021. He also serves as the Program Manager of the China Economy Program and an Assistant Editor for the Journal of Chinese Economic and Foreign Trade Studies. Education : PhD in Economics (2024) at Crawford School, ANU; BEcon (ANU); MEcon (ANU). Research Interests : His work focuses on labor economics, urban economics, demographic economics, and development economics. He explores causal impacts of government policies on China’s housing market, fertility rates, land supply behavior, and housing demand, alongside international trade, labor markets in South Pacific countries, and educational outcomes in Australia. Teaching & Roles : Senior Tutor, Microeconomics 1 (2021-2024), Macroeconomics 1 (2024), Business Economics (2024), Strategic Thinking (2021-2023) at RSE, ANU. Teaching Quantitative Policy Impact Evaluation (2022-2024), Issues in Development Policy (2023-2024), and The Economic Way of Thinking (2023) at the Crawford School. Research Trends : His publications address housing affordability (2024), marriage delay (2024), policy impacts on housing prices (2024), land supply dynamics (2024), trade dynamics with China (2022), and migration patterns in China (2020). These works integrate causal inference methods and policy evaluation frameworks. Email : tunye.qiu@anu.edu.au
Greg W. Marshall serves as the Charles Harwood Professor of Marketing and Strategy at Rollins College, with an extensive publication record cited over 11,600 times. His academic career spans more than two decades with continued scholarly output through 2020. Dr. Marshall's research focuses primarily on sales force management, workplace isolation among field sales professionals, and the impact of technological advancements on selling environments. His work examines critical issues such as sales strategy development, organizational commitment among salespeople, and the evolution of traditional sales methodologies in digital contexts. He has made significant contributions to understanding how virtual work arrangements affect sales performance and employee engagement. His publication trends reveal a consistent focus on sales management with increasing attention to technology's role in selling processes. Early work examined foundational sales concepts like the seven steps of selling, while more recent research investigates social media's impact on sales environments and the psychological effects of workplace isolation in virtual sales teams. Co-author of the 13th edition of Sales Force Management (2020), considered a contemporary classic in the field Extensive research on workplace isolation and its effects on sales performance Pioneering work on technology adoption in sales force environments Marshall has collaborated extensively with leading scholars in sales research including Mark Johnston, William Moncrief, and Juan Pablo Mulki. His research has practical implications for sales organizations navigating digital transformation and virtual work arrangements, with applications across multiple industries that rely on field sales forces.