PhD Program

My research examines a question at the heart of modern economy and organizations: how are markets made, unmade, and remade? Because markets are engines of economic growth and stability in modern societies, their lifecycles are critical not only to strategy, entrepreneurship, innovation scholars but also to policymakers and practitioners. Today, faced with mounting social and environmental pressures, diverse actors ––including activists, entrepreneurs, and professional groups–– are constantly challenging how we produce and consume essential goods. My work explores the friction this creates, investigating how these challengers disrupt powerful incumbents, construct entirely new markets for sustainable alternatives, or promote non-market practices as moral solutions, while identifying the forces that enable or obstruct their efforts. To investigate these, I draw from theoretical perspectives in strategy, organizational theory, economic sociology, and social movement studies. One of my dissertation research paper, co-authored with Sen Chai (McGill University), is currently under 2nd R&R at Strategic Management Journal.

I believe in fostering a sense of community and belonging in academia. Throughout my PhD journey, I have been fortunate to receive grants, awards, and recognitions that represent investments from scholarly institutions and communities in my professional development. I am committed to reciprocating by contributing to the wider academic community. I'm passionate about qualitative research methods and help co-organize the Ethnography Atelier, a collaborative space that promotes ethnographic and other qualitative research in work and organizations. I have presented in, reviewed for, and participated in doctoral consortia of major peer-reviewed conferences including AOM, EGOS, SMS, Organization Science Winter Conference, ARCS, and GRONEN. I have served as ad-hoc reviewer for Strategic Management Journal and Academy of Management Review.

Before academia, I was based in Singapore and London and for seven years worked in market research, consulting, and competitive intelligence for clients in pharma-biotech, medical devices, and healthcare sectors. I hold an MSc in Global Health Policy from the London School of Economics and Political Science and a Bachelor's in Business Management from Singapore Management University.

Feel free to check my website to learn more about me, drop me a message at marselia.tan@essec.edu, or on LinkedIn.

My research interest is centered on understanding ESG and fraud detection. I am particularly focused on employing statistical methods, including structural modeling and machine learning.

My current research interest lies in the combination of Machine Learning and Accounting Research. There are two aspects I would like to explore in the future: (1) using machine learning techniques to convert unstructured data into structured data and (2) detecting the consequences of the use of machine learning in capital market.

My research interests focus on two main streams. The first stream centers on corporate innovation, with particular emphasis on patents as measures of innovative activity and on firms’ innovation development and strategic choices. The second stream focuses on disclosure, which includes the determinants, quality, and economic consequences of both mandatory and voluntary disclosures.

My research focuses on corporate governance, information disclosure, and structural modeling.

My research lies at the intersection of management and accounting. I am interested in studying the readiness of organisations to engage in changes within their accounting workflows and procedures. Further analysis will include the study of the social (i.e., organisational employees and executives) and technological (i.e., incremental innovations of cloud computing, Optical Character Recognition, Robotic Process Automation or more breakthrough innovations such as blockchain based Accounting Information System or smart contracts) components shaping the phenomenon.

My research interests lie in the design and impact of responsible performance evaluation systems, employee well-being and mental health, and the construction and regulation of professional identity.

My research focuses on algorithmic control and human-AI collaboration.

My current research interest lies in applying psychological theories and behavioural economic theories in management accounting and control topics by using experimental (lab/field) methods. Key areas include performance measurement systems, forecasting, budgetary processes, and motivations behind employee misbehaviour (e.g. collusion).

My research interest lies in performance measurement and the performativity of accounting practices in management control systems.

My research interests lie at the intersection of environmental economics and behavioral economics. Using theoretical microeconomic models, I study how information structure, social norms, and moral motivations shape individual decision-making in environmental contexts.

I am interested in Public Economics, Labor Economics, and Macroeconomics.

My research interests currently are in International Trade and Labor Economics, and their intersection.

My current research interest is in International Trade. More precisely, the spatial productivity difference between different countries. Another research area of interest is macroeconomics, especially in the business cycle and inflation index generation.

My research interests lie at the intersection of inequality, human capital, and development economics.

My work is mainly empirical and focuses on the issue of economic inequality in general and inequality of opportunity in particular, in both developed and developing countries. And broadly, I am interested in development microeconomics, labor economics and social policy evaluation.

My research lies at the intersection of macroeconomic modelling and applied micro-data analysis. I develop Dynamic Stochastic General Equilibrium (DSGE) models and combine them with empirical evidence to study how health dynamics, particularly obesity, shape labor markets and long-run economic growth.

My current research interest lies in the intersection of microeconomic theory, information economics and industrial organization within the realm of digital markets.

My interest research is in spatial economics and labor market.

I am an empirical economist and the fields are Political Economy, Law Economics, Development Economics, and Economic History.

I am interested in family and gender economics, economics of education, and environmental economics.

I am interested in gender economics, environmental economics and public economics.

My research lies at the intersection of international macroeconomics and finance. I currently focus on the international monetary system, using both empirical and theoretical approaches.

My research interests lie in heterogeneous agent macro, computational macro and international economics.

Interested in issues of international macroeconomics such as debt crises due to uncertainty shocks and the challenges of international finance and trade in a multipolarized world that threatens both the hegemony of the dollar and the role of Bretton Woods institutions, such as the IMF, as lender of last resort for economies at risk of bankruptcy.

I am interested in empirical industrial organization and search behavior.

My research interests focus on the development of large language models (LLMs), artificial intelligence, and machine learning in finance, and their application in forecasting, information processing, and decision-making of financial actors.

My research interest lies in the field of asset pricing, green finance and machine learning.

My research field is market microstructure. I am interested in theory, high frequency trading and retail.

I am generally interested in household finance and tax policy.

My research interest lies in the field of financial econometrics, banking finance and household finance. It may be changed several months later.

My research focuses on empirical corporate finance, particularly at the intersection of institutional investors, corporate governance, politics, and sustainable finance.

Broadly speaking, my research interest lies in the fields of environmental and financial economics. In particular, I focus on the behaviour of firms regarding corporate investment decisions in the context of the ecological transition and the public policies able to influence those decisions.

I am interested in empirical research within various topics in the areas of innovation, entrepreneurial finance, corporate finance, and industrial organization.

My research mainly focuses on Reinforcement Learning, Machine Learning, and Computational Statistics.

My research interests span a diverse range of broad topics, including:

• Financial Econometrics
• Machine Learning methods in Asset Pricing
• Monetary policy shocks and their Macroeconomic effects
• Systemic Risk in Financial Markets
• Term Structure of Financial Instruments
• Topics in Financial Mathematics

My research interest is around high-dimensional statistics.

My research focuses on Bayesian inference, with a particular interest in approximating posterior distributions using Variational Inference and Laplace methods, and in developing bounds on their distance from the true posterior. I am also interested in MCMC algorithms.

I am a PhD student in Data Analytics and my background is in economics and finance. My research interests thus revolve around quantitative aspects of finance, in particular financial econometrics, high frequency data and options pricing.

My research examines how broad-based participation in digital transformation reshapes value creation in both markets and society. Across my projects, I study how individuals, organizations, and institutions engage with emerging digital infrastructures—whether through open product development environments or nationwide digital initiatives—and the advantages that arise when the use of digital technologies becomes more distributed.

My research interests lie at the intersection of creativity & innovation, driven by AI and new technologies. This includes their design and implementation. I have authored a book "Creativity Secrets: Creativity & innovation Secrets for Design, Art, and Business" based on my several creativity and innovation experiences that include bringing new innovative technologies to market in the US as a consultant and a serial entrepreneur.

With a background in Electrical Engineering and an AI-focused MBA thesis, my research explores how digital platforms reshape business models and managerial practice. Leveraging large-scale datasets and quantitative methods, I seek to uncover actionable insights into platform growth, strategy, and governance. Ultimately, my goal is to help organizations navigate—and harness—the fast-moving platform economy.

Driven by a fascination with science and mathematics, my journey in Mechanical Engineering began. During my Bachelor's, I excelled in national-level RoboCup competitions, which fueled my passion for innovation. This led me to engage in design and simulation projects during my Master's in Mechanical Engineering. Professionally, my path has spanned diverse industries, including automotive and mining equipment maintenance. In these sectors, I have contributed to various tasks ranging from product development engineering to creating platforms that enhance machinery uptime through user feedback. As I embark on a PhD in Information Systems, my focus is on harnessing AI for design and innovation.

My research interest lies in user behaviors under digital transformation and innovation, especially how the digital era reshapes users' identification, decision-making, and interaction patterns.

My interest in research is digital transformation influence and process in corporate level/ new technologies adoption in corporate and individual levels/the function and network effect of digital platforms.

Broadly, I am interested in using analytical modeling to study problems in operations management and economics. My current research focuses on circular economy and supply chain management.

I am a software engineer with nine years of corporate experience. During this time, I've played a pivotal role in assisting clients in leveraging technology and data to enhance operational excellence. Furthermore, my background in strategic consulting has provided me with a profound understanding of organizational dynamics, exposing me to global challenges, including issues such as Climate Change. These combined experiences have equipped me with the skills necessary to address intricate real-world problems situated at the crossroads of sustainability and operations.

My research interest is driven by a desire to explore innovative approaches for integrating sustainability into the fabric of operational decision-making. My goal is to develop advanced models that empower businesses not only to thrive economically but also to make positive contributions to the environment and society at large.

My research interests focus on mathematical optimization, particularly on bilevel methods and constrained problems. I study learning tasks formulated as hierarchical optimization models, including hyperparameter optimization, continual learning, and sparsity-constrained model selection. In this context, I develop derivative-free and decomposition-based methods for large-scale structured optimization models, spanning learning-based and operations research decision tasks, including mixed-integer, network, and resource allocation problems.

My research interests are Applied Optimization, Sustainability, Supply Chain Management, and Robustness & Resilience.

My research interests include the applications of operations research in production planning, pricing and decision making under uncertainty.

My research interests lie in polyhedral approaches for mixed integer programming and optimization under uncertainty, with applications in transportation, logistics and network design problems.

I'm a 4th year PhD student in Management (Strategy) at ESSEC Business School, France. My research focuses on studying collaborations and intellectual property in creative industries. In one of my papers, co-authored with Elisa Operti, I study the impact of copyright litigation events on artists' collaboration networks in music. Methodologically, I work with longitudinal archival data and use quantitative approaches such as difference-in-differences and social network analysis to examine relational patterns over time. I have presented in various peer-reviewed conferences including AOM, EGOS, SMS, DRUID and INSNA Sunbelt Conference. I believe in contributing meaningfully to the academic community; I'm a reviewer for multiple conferences, and the PhD representative at ESSEC. I'm also a part of the communications team for the Social Network Society, an AOM Community for social network research. Most recently, I spent time as a visiting student at IESE Business School, Barcelona. Prior to pursuing my PhD, I obtained my MBA from Indian Institute of Management, Indore and worked in Goldman Sachs for 3 years. I love dogs and building DIY projects! I would love to get to know you more, feel free to reach out to me at arushi.aggarwal@essec.edu or on Linkedin.

My research investigates how capabilities and expertise are structured within organizations and across markets, with particular attention to the processual and relational dimensions of capability development. I focus on how capabilities emerge through organizing activities rather than existing as predetermined resources. Central to my research is understanding how structural arrangements—within firms and across market boundaries—shape the processes through which capabilities are constituted, coordinated, and deployed. I investigate how different organizing logics and institutional contexts enable various approaches to structuring capabilities for competitive advantage. Methodologically, I combine quantitative analysis with qualitative investigation to examine both patterns and mechanisms with a particular focus on experiments to determine causal relationships. My research contributes to process theory, institutional analysis, and strategic management, with implications for how organizations design for competitive advantage and how markets coordinate the development and allocation of capabilities.

I am interested in the strategic interaction between firms and political institutions, exploring how regulatory shifts, judicial decisions, and broader stakeholder networks shape firm behavior. I focus on modeling influence processes and understanding how firms adapt to and strategically reshape their institutional environments.

My current research interest lies in exploring the psychological mechanisms and processes of the dynamic interplay between personality, identity, and social networks in organizational contexts. My work focuses on two main areas:

1- Personality and Social Networks in Organizations I study how individuals' social positions in the workplace can shape their personality over time, including the development of dark traits.

2- Future Identity and Entrepreneurship I am interested in understanding the role of imagined or future-oriented identities in shaping entrepreneurial behavior. Specifically, I investigate how entrepreneurs and self-employed individuals' salient future selves - who they could become influence their decision-making, motivation, and identity work.

His research focuses on how the interdependence between subunits of an organization shapes the ways in which solutions for localized problems are discovered and implemented. Taeho uses computational modeling as his primary research method, alongside other methodologies such as lab experiments.

I'm a doctoral student in Organizational Behavior. My research explores how individuals engage with their limitations and how this helps them in their self-development. Before beginning my PhD, I spent nearly a decade in Human Resources, heading talent acquisition and development portfolios in Indian startups and multinational corporations, including Kraft Heinz. I hold a Master’s degree in Management and a Bachelor's degree in Instrumentation Engineering.

I am interested in a wide array of topics related to group dynamics, interaction rituals, microsociology of creativity, individual and team mindfulness.

My research examines a question at the heart of modern economy and organizations: how are markets made, unmade, and remade? Because markets are engines of economic growth and stability in modern societies, their lifecycles are critical not only to strategy, entrepreneurship, innovation scholars but also to policymakers and practitioners. Today, faced with mounting social and environmental pressures, diverse actors ––including activists, entrepreneurs, and professional groups–– are constantly challenging how we produce and consume essential goods. My work explores the friction this creates, investigating how these challengers disrupt powerful incumbents, construct entirely new markets for sustainable alternatives, or promote non-market practices as moral solutions, while identifying the forces that enable or obstruct their efforts. To investigate these, I draw from theoretical perspectives in strategy, organizational theory, economic sociology, and social movement studies. One of my dissertation research paper, co-authored with Sen Chai (McGill University), is currently under 2nd R&R at Strategic Management Journal.

I believe in fostering a sense of community and belonging in academia. Throughout my PhD journey, I have been fortunate to receive grants, awards, and recognitions that represent investments from scholarly institutions and communities in my professional development. I am committed to reciprocating by contributing to the wider academic community. I'm passionate about qualitative research methods and help co-organize the Ethnography Atelier, a collaborative space that promotes ethnographic and other qualitative research in work and organizations. I have presented in, reviewed for, and participated in doctoral consortia of major peer-reviewed conferences including AOM, EGOS, SMS, Organization Science Winter Conference, ARCS, and GRONEN. I have served as ad-hoc reviewer for Strategic Management Journal and Academy of Management Review.

Before academia, I was based in Singapore and London and for seven years worked in market research, consulting, and competitive intelligence for clients in pharma-biotech, medical devices, and healthcare sectors. I hold an MSc in Global Health Policy from the London School of Economics and Political Science and a Bachelor's in Business Management from Singapore Management University.

Feel free to check my website to learn more about me, drop me a message at marselia.tan@essec.edu, or on LinkedIn.

My research investigates the emotion regulation of female leaders. I am interested in studying how beliefs about the emotions displayed by leaders and females shape the way female leaders regulate their own emotions, and how this consequently influences their well-being.

I study workplace dynamics within organizations, with a particular focus on team relational tension, negative ties, and gender stereotypes, and how these factors shape individual identification and team functioning.

I am broadly interested in human–AI interaction, with a particular focus on the cognitive mechanisms that shape how people perceive, understand, and collaborate with intelligent systems. I aim to investigate how processes such as attention, learning, decision making, and metacognition unfold when humans work alongside AI, and how these processes influence trust, performance, and user experience. To address these questions, I plan to combine innovative methodologies, ranging from controlled computer-based behavioral tasks to advanced brain imaging techniques. By integrating behavioral and neural data, my goal is to build a more precise, mechanistic understanding of human–AI interaction that can inform the design of AI systems which are not only efficient, but also cognitively aligned with their users.

My research lies at the intersection of consumer behavior and strategy, and bridges topics such as digital media, prosocial action, sponsorship, branding, and decision-making in online contexts. I’m especially interested in how online platforms and communities influence trust, perception, and participation, as well as the underlying psychological and social mechanisms behind engagement in interactive and immersive contexts. Key areas of interest include:

• Digital philanthropy and creator-led fundraising campaigns
• User-generated content (UGC) and online reviews
• Influencer marketing and creator-driven brand engagement
• Gamification strategies in marketing
• Live and immersive environments
• Online gambling and risk-based decision-making in digital contexts
• Cross-cultural differences in digital engagement and community dynamics

I am interested in CCT-oriented research with a focus on sustainability and climate change.

Bayesian statistics, sales forcasting using behavioral and transaction data to understand and predict future purchasing activities.

My research focuses on online consumer reviews and social media content, using text analysis and machine learning to study unstructured data. I am particularly interested in extracting meaningful signals from textual data and extending this work to multimodal analysis, as well as examining the role of AIGC in shaping consumer perceptions. More broadly, I aim to combine marketing theory with data-driven methods to understand consumer behavior on digital platforms.

My Research interests lie in Consumer Behavior, Consumer Neuroscience and CCT (market dynamics) using methods such as Experiments and open to qualitative methods My topics focus on how emerging technologies—such as virtual avatars and social robots—shape consumer experience, identity, and engagement.

I am interested in modeling, marketing analytics and machine learning. I plan to apply computational methods to analyze large-scale unstructured data.

I have enjoyed marketing's interdisciplinary nature with an extensive reach. Methodologically, I am interested in quantitative modelling and machine learning. Substantively, I am currently interested in social media and online advertising.