Home

  • The Latest Research on International Trade

    The Latest Research on International Trade

    This list includes a selection of the latest research on International Trade posted to SSRN in 2025.

  • Top Papers on AI in Finance

    Top Papers on AI in Finance

    This list includes the top downloaded papers on AI in Finance posted in Q2 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. AI Tools for Actuaries by Mario V. Wuthrich (ETH Zürich), Ronald Richman (insureAI), Benjamin Avanzi (University of Melbourne), Mathias Lindholm (Stockholm University), Marco Maggi (Schweizerische Mobiliar Versicherungsgesellschaft), Michael Mayer (Schweizerische Mobiliar Versicherungsgesellschaft), Jürg Schelldorfer (Swiss Re) & Salvatore Scognamiglio (University of Naples “Parthenope”)

    Top Downloading Organizations:

    2. Data-driven Hedging with Generative Models by Rama Cont (University of Oxford) & Milena Vuletić (University of Oxford)

    Top Downloading Organizations:

    3. Breaking (up) News: How Current and Forward-Looking Information Impact US Treasury Yield Dynamics by Matthias Apel (Quoniam Asset Management) & Maximilian Stroh (Quoniam Asset Management)

    Top Downloading Organizations:

    4. Harnessing Fintech Innovations for Anti-Money Laundering: A Data-Driven Approach by
    Pristly Turjo Mazumder (Georgia State University)

    Top Downloading Organizations:

    5. The Limited Virtue of Complexity in a Noisy World by Álvaro Cartea (University of Oxford), Qi Jin (University of Oxford) & Yuantao Shi (University of Oxford)

    Top Downloading Organizations:

    6. The Memorization Problem: Can We Trust LLMs’ Economic Forecasts? by Alejandro Lopez-Lira (University of Florida), Yuehua Tang (University of Florida) & Mingyin Zhu (University of Florida)

    Top Downloading Organizations:

    7. Generative AI and Exchange Rate Predictability by Amin Izadyar (Imperial College London)

    Top Downloading Organizations:

    8. (Generative) AI in Financial Economics by Hongwei Mo (University of Oxford) & Shumiao Ouyang (University of Oxford)

    Top Downloading Organizations:

    9. Human + AI in Accounting: Early Evidence from the Field by Jung Ho Choi (Stanford Graduate School of Business) & Chloe Xie (Massachusetts Institute of Technology)

    Top Downloading Organizations:

    10. Artificial Intelligence and Actor-Specific Decisions by Teppo Felin (University of Oxford), Mari Sako (University of Oxford) & Jessica Hullman (Northwestern University)

    Top Downloading Organizations:

  • Top Papers on AI in Law

    Top Papers on AI in Law

    This list includes the top downloaded papers on AI in Law posted in Q2 2025. It also includes the Top 5 Organizations that downloaded the research during this period.

    1. The European Way. A Blueprint for Reclaiming Our Digital Future by Kai Zenner (European Parliament), Robin Berjon (Supramundane Agency), Cristina Caffarra (University College London), Francesco Bonfiglio (Dynamo), Sebastiano Toffaletti (European DIGITAL SME Alliance), Eline Chivot (European Commission), Dimitar Lilkov (Wilfried Martens Centre for European Studies), Nathan Shepura (European Parliament), Gonçalo Carrilho (University of Lisbon), Pencho Kuzev (Konrad Adenauer Stiftung), Clark Parsons (Innovate Europe Foundation), Felix Styma (iconomy), Claudio Minutillo Turtur (iconomy), Zach Meyers (Centre on Regulation in Europe), Gautam Kamath (European Centre for Development Policy Management), Katja Munoz (DGAP-Deutsche Gesellschaft fuer Auswaerige Politik), Philipp Hacker (European University Viadrina Frankfurt), Andrea G. Rodríguez (Centre for European Policy Studies), Emmanuel Kahembwe (Verband der Elektrotechnik, Elektronik und Informationstechnik), Sebastian Hallensleben (CEN CENELEC), Philip Piatkiewicz (Adra), Miriam Meckel (University of St. Gallen), Léa Steinacker (University of St. Gallen), Carlos Muñoz Ferrandis (Max Planck Institute for Innovation and Competition), Till Klein (AppliedAI Institute for Europe), Frauke Goll (AppliedAI Institute for Europe), Rasmus Rothe (Merantix Capital), Jörg Bienert (German AI Association), Fabian Westerheide, Marian Gläser (German AI Association), Rolf Schwartmann (TH Köln, University of Applied Sciences) & Björn Ommer (Ludwig Maximilian University of Munich)

    Top Downloading Organizations:

    2. AI as Agency without Intelligence: On Artificial Intelligence as a New Form of Artificial Agency and the Multiple Realisability of Agency Thesis by Luciano Floridi (Yale University)

    Top Downloading Organizations:

    3. GenAI as an International Lawyer: A Case Study with the Jessup International Law Moot Court by Damien Charlotin (HEC) & Niccolò Ridi (King’s College London)

    Top Downloading Organizations:

    4. The Governance of Artificial Intelligence in Canada: Findings and Opportunities from a Review of 84 AI Governance Initiatives by Blair Attard-Frost (University of Toronto), Ana Brandusescu (McGill University) & Kelly Lyons (University of Toronto)

    Top Downloading Organizations:

    5. Introduction to the Foundations and Regulation of Generative AI by Philipp Hacker (European University Viadrina Frankfurt), Andreas Engel (Heidelberg University), Sarah Hammer (The University of Pennsylvania) & Brent Mittelstadt (University of Oxford)

    Top Downloading Organizations:

    6. LEXam: Benchmarking Legal Reasoning on 340 Law Exams by Yu Fan (ETH Zürich), Jingwei Ni (ETH Zürich), Jakob Merane (ETH Zürich), Etienne Salimbeni (Omnilex), Yang Tian (University of Zurich), Yoan Hermstrüwer (University of Zurich), Yinya Huang (ETH Zürich), Mubashara Akhtar (ETH Zürich), Florian Geering (University of Zurich), Oliver Dreyer (niversity of St. Gallen), Daniel Brunner (Swiss Federal Supreme Court), Markus Leippold (University of Zurich), Mrinmaya Sachan (ETH Zürich), Alexander Stremitzer (ETH Zürich), Christoph Engel (Max Planck Institute for Research on Collective Goods), Elliott Ash (ETH Zürich) & Joel Niklaus (University of Bern)

    Top Downloading Organizations:

    7. Human Oversight under Article 14 of the EU AI Act by Melanie Fink (Leiden University)

    Top Downloading Organizations:

    8. Two Futures of AI Regulation under the Trump Administration by Claudio Novelli (Yale University), Akriti Gaur (Yale Law School) & Luciano Floridi (Yale University)

    Top Downloading Organizations:

    9. Law-Following AI: Designing AI Agents to Obey Human Laws by Cullen O’Keefe (Institute for Law & AI), Ketan Ramakrishnan (Yale Law School), Janna Tay (Institute for Law & AI) & Christoph Winter (University of Cambridge)

    Top Downloading Organizations:

    10. Artificial Intelligence and Law – An Overview of Recent Technological Changes in Large Language Models and Law by Harry Surden (University of Colorado Law School)

    Top Downloading Organizations:

  • Meet the Author: Raffaella Sadun

    Meet the Author: Raffaella Sadun

    Raffaella Sadun is a Professor of Business Administration at Harvard Business School and has co-founded several large-scale projects to measure management practices and managerial behavior in organizations. She spoke with SSRN about the influence of management on productivity in organizations and how evolving technologies, such as AI, fit into that equation.

    Q: You’ve done a lot of different work studying how management and organizational factors contribute to the productivity of corporations. What drew you to this to begin with, and how has that work continued to evolve with the changing times?

    A: I started this line of work in 2003, when I was a PhD student. I was very interested in firm country-level growth from a macroeconomics perspective and understanding why it is that in some countries, the productivity grows. In the long run, this influences almost everything. When I was growing up as a researcher, you could, for the first time, go from this macro-level data on GDP and total factor productivity to very granular information on firms. It was the early stages, not the very beginning. There had already been some work using the U.S. Census, but… for the first time, you could really appreciate how individual firms contributed to macroeconomic growth. I thought that this was just the coolest thing ever that you could do.

    Then it became even cooler, because I did my PhD studies right at the point in which you could do even more than looking at total factor productivity of a firm: you could open the black box of a firm and understand how the firm was managed. All this work on management and the organization – it’s called the World Management Survey – it’s really an attempt of going from just outcome measure to measures like productivity and total factor productivity, profits and so forth, to managerial inputs. This was getting a sense of how resources were allocated inside the firm but also how the firm recognizes if there are problems, how they solve problems, whether they have targets, and more importantly, how they manage people. Do they have a way of understanding who is a good performer and who is not, and how do we help people grow or learn new things inside the firm?

    The connection then became even more interesting, because you went from macro to micro at the firm level, getting all this internal, soft stuff but measured quantitatively in a rigorous way, across many thousands of organizations. This was just a blast, and continues to be a blast for me, because you can understand much more about the world using this approach.

    Q: What are the challenges to collecting this kind of data, especially at such a large scale, looking at so many different countries?

    A: It’s a managerial challenge. I work on this with a large team of people, and I think that we did drink our own medicine. The primary challenge really starts with the design of the survey and understanding if you’re measuring something that is really an input, first of all, and also whether it’s something that you can measure with some precision. From a quantitative perspective, you don’t want to get stuff that is too trivial, so that everybody does it, or too hard, so that nobody can do it. You want to make sure that you’re measuring something where there is a good chance of variation, but also something that can be measured with enough precision and quality that these comparisons across and within countries are meaningful.

    The way in which we approached this was to hire people – in the first waves of this research, they were MBA students who had some exposure to management education – and we would work with them throughout the summer to help them understand what we wanted to measure. We had our own management systems, where every three analysts would have a manager, and they would talk with the managers to debrief after every interview. Every interview was listened to by two people, so that it could be calibrated. We had monthly check-ins as the data was being collected. We were really trying to create standards for data collection that would allow us to then scale this measurement across many thousands of organizations.

    Q: In collecting data, is there anything that has been particularly surprising to you, either about the process itself or the results the data has yielded?

    A: This is a line of research that is infinite. One of the interesting things that continues to surprise me today is the fact that even when this sort of managerial know-how should be trivially adopted and known by everybody, to this date, we see this variation in adoption of basic management practices. This can be surprising, because we know that these things are correlated, in some studies done by my co-authors, also causally related to performance at the firm level.

    Eventually, this builds to macroeconomic differences. This is so interesting because it tells you something about the frictions in knowledge diffusion. The same way we know that there are diffusions of new techniques, new technologies, new ways of doing things, there are also the frictions in the diffusion of this managerial technology and understanding what shapes it: whether it’s an issue of information, whether it’s incentives, or whether it’s culture, both inside and outside the firm. I think this is the best thing to study, because it’s a connection between economics, management, sociology, and history.

    Q: You’ve written and contributed to many papers on SSRN related to these subjects of management and productivity. You also have dived into how technology contributes to these factors, and most recently, the effects of AI. One of the recent, highly downloaded papers that you are an author on is “The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise,” which explores how AI fits into the collaborative work environments of organizations. How do the results of this study fit within the idea of AI as empowering workers, rather than replacing them?

    A: This is a very salient problem, this issue of whether AI is a complement or a substitute. This is a line of work that I think is really needed, because at this point, there is a lot of anxiety about the impact of AI. I think that in many technology circles, there is almost a foregone assumption that, of course this is going to be bad for people. There are lots of discussions of entry level jobs that are going to disappear. I think that getting a very good sense of what these technologies can actually do is critical for us not to be panicking about it, and also for us to be able to shape how this technology is adopted.

    There are studies that show this technology is very good at balancing the knowledge of less experienced workers with more experienced workers. For example, there is a beautiful paper recently published on the Quarterly Journal of Economics that has shown that the rollout of a copilot – something that allows call center agents to answer questions and gives them suggestions on what to tell angry customers – has a strong impact on the productivity of the agents, especially the agents with less experience. This paper has a similar flavor, because it tells you that the copilot helps experts: not call center agents, but marketing or R&D experts. In a way, it’s similar, because it helps these experts bridge across silos of different expertise when you have to work on an innovation, typically it’s a combination of R&D and marketing work. That’s why they have teams, because they need this different knowledge and expertise to come together. The paper shows that an R&D person with a copilot, or a marketing person with a copilot will be able to deliver innovation ideas that are perceived to be of the same quality as two human experts. This is helping you bridge across knowledge silos. You’re going across these different domains of expertise, which could be really powerful for the experts themselves.

    Q: In a previous interview, you mentioned that you think one of the biggest misconceptions about AI is that it’s just about the technology. Could you talk a little bit more about this idea?

    A: This is regarding AI, and you could use exactly the same line of arguments that I am going to use for previous technological waves: we could talk about PCs, software, or even electricity, if you wanted to, depending on how far back you go. Technologists will talk about just the technology. Organizational economists, or people that are more grounded in firms, will talk about the ways in which the technology is adopted inside an organization. You can have an incredible technology at your fingertips, but if it’s not well-integrated with the organization, people will not use it or they will not use it well.

    What you want to understand is how to integrate the new innovations with your production systems, your skills, the ways in which people do their job every day. With AI, there are particular skills that are very human and organizational that will become critical for how this technology is used. The first one is the ability to know your limits. That’s a very human skill, because potentially, these are technologies that give us access to expertise at a fraction of the cost. It’s like the tacit expertise that was embedded in humans before – now it’s embedded in a machine. You need to have judgment to understand the quality of that expertise, and you also need to have the humanity to ask questions and really make good use of this gift that you now have.

    The second one is the ability to adapt. This is such an early stage for this technology that the use cases have not yet been completely discovered. So, you will see the hype cycle, where every day there is a new application, something that sounds incredible, but at the end of the day, how this technology will impact firms will depend on how each individual firm will be able to use that technology to achieve their goals or their strategy. Everything is firm-specific. This is the time where you need people who are willing to adapt and who are willing to explore and understand how to experiment with this technology and find new sources of value creation. These are not things that can be automated. You need people to be at the front line.

    Q: What do you think holds back some organizations from experimenting and adapting?

    A: I think that there are humane and rational factors. There is a lot of uncertainty still on exactly how the technology is going to be useful to individual cases. It’s something that you would say, “Well, maybe it’s better to wait and see, let other people figure it out, and then I jump in.” This is, I think, very dangerous right now, because I expect that a lot of these applications are going to be firm-specific. If you don’t do it, nobody else will do it for you.

    Another point, which is real for this wave of technology, and was probably not there in previous waves, is fear of being replaced. This is precisely because AI is able to provide answers, and in some tasks, the answers are much better and more reliable than the experts. I’m not sure that everybody likes that, because that makes you feel irrelevant. The key there is to understand the value of judgment. It’s like having a very smart person in the room that needs to be managed, and you still have a role as a human.

    Q: A lot of the work you do is very timely and relevant, so instead of asking about all of it, I’d love to know: are there any of your papers or ongoing works – on SSRN or otherwise – that you’d like to highlight?

    A: I am really passionate about a new line of work on training and reskilling, which is related to the adoption of AI. I have a new working paper called “Training Within Firms” that I love because it goes inside three large organizations, and it asks the question: why is it that often workers are offered opportunities for learning and training, and we see that there is low, or very heterogeneous, take up across different parts of the firm? The bottom line from this paper is the importance of the middle manager, which is the person whom the workers report to, who’s not really at the top of the company, but is closest to the frontline. The paper shows that there is a real difference in the extent to which middle managers can be coaches and mentors for frontline employees, and these differences matter for both training take up as well as the performance of firms when there is stress in the system, when we use some shocks to simulate these moments of heightened production.

    I think that’s important, because it tells you that firms still need humans. Learning as an adult is tough, and you need a person to motivate others. You need the person that is able to communicate the commitment of the firm to employees. It’s not enough to say it from the top: you really need people on the ground that are able to be credible in investing in people’s skills and careers.

    Q: How do you view SSRN’s place in scholarship right now?

    A: I think the fact that you have this very large repository where the latest cutting-edge papers are published is super important right now. I expect that, with the advance of technology that allows us to make good use of all this knowledge, summarize it for us, and help us understand how useful it is, it will be increasingly important to have this big repository of knowledge.


    More About Raffaella Sadun

    Raffaella Sadun is Charles E. Wilson Professor of Business Administration at Harvard Business School, a Co-Chair of Harvard Business School’s Project on Managing the Future of Work, and co-PI of the Digital Reskilling Lab. Her research focuses on managerial and organizational drivers of productivity and growth in corporations and the public sector. She co-founded several large-scale projects to measure management practices and managerial behavior in organizations, such as the World Management Survey, the Executive Time Use Study, and the first large scale management survey in hospitals, MOPS-H, conducted in partnership with the US Census Bureau. Sadun currently co-leads the Digital Reskilling Lab at HBS and also serves as director of the of the National Bureau of Economic Research Working Group in Organizational Economics, and is faculty co-chair of the Harvard Project on the Workforce. Sadun has authored articles published in well-known journals and was recognized for the best article published in the Harvard Business Review in 2018 and 2023. She received the honor of Grande Ufficiale dell’Ordine “Al Merito della Repubblica Italiana,” the highest-ranking order awarded by the President of the Italian Republic for “merit acquired by the nation” in 2021. In 2022 she was awarded the Prize “Fondazione de Sanctis per le Scienze Economiche.”

  • The Latest Research on LGBTQ+ Rights

    The Latest Research on LGBTQ+ Rights

    This list includes a selection of the latest research on LGBTQ+ Rights posted to SSRN in 2025.

    To read more research on LGBTQ+ Rights, view other papers from SSRN’s Pride Month Hub here, which highlights early-stage research related to the pursuit of equal justice, equal opportunities, and greater acceptance for lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ+) individuals.

  • The Latest Research on Climate Finance

    The Latest Research on Climate Finance

    This list includes a selection of the latest research on climate finance posted to SSRN in 2025.

    To read more research on Climate Finance, subscribe to SSRN’s Climate Finance eJournal or view other papers here.

  • Exploring Grey Literature on SSRN

    Exploring Grey Literature on SSRN

    There has been a growing discussion in the academic community surrounding the concept of grey literature, a broad term that encompasses documents, data, research, and materials created outside of the traditional pathways of academic publication, and often for non-academic audiences. This work contributes to the information ecosystem by providing sources of knowledge that are timely and broad, filling in gaps in research and offering original data and insights that extend beyond the typical channels for academic publishing.

    In practice, what does this look like? Grey literature includes various reports, conference proceedings, datasets, legal transcripts, working papers, dissertations, blog posts, policy documents, and a wide range of other work that expands the knowledge base and enriches modern scholarship.

    Traditional academic publishing involves peer review, a lengthy publication process, and such documents may not be widely accessible to those without academic library privileges. Grey literature may be released more quickly and is often directly accessible for all, allowing current research within a field to be shared in real-time. This provides the opportunity for dissemination of ongoing research, recent developments in policy and government, and relevant reports that help inform the academic discourse of the present and influence the development of research in the future.

    Grey literature provides other benefits beyond its timeliness. The structure of the work itself provides the opportunity to fill in research and knowledge gaps. This can be through the release of up-to-date data, case studies, and reports that don’t fall within the scope of academic publications, or it can present preliminary findings that serve as complementary to previously published works. Grey literature captures perspectives that have a wider scope and therefore rounds out the scholarly record.

    The accessibility and relevance of grey literature allows the work to have significance outside the world of academia. It helps inform policies, programs, and future academic research. Grey literature takes research and data and translates it into real-world impact.

    Joshua Tucker, professor and researcher at NYU, shared his grey literature on SSRN. He was pleased to see that his report  – which would not be included in traditional academic publications – had a presence on SSRN, generating additional attention and citations it wouldn’t have received otherwise. He shared with SSRN that, “This review of the literature was never intended to be an academic article. It was a report commissioned by the Hewlett Foundation, and the Hewlett Foundation put it on its website. I thought people in the policy community were going to see it on the Hewlett website, but I’d love for people to see it in the academic community. I thought that maybe we’d get a few citations out of it, and [decided] to throw it up on SSRN, on a whim. And now it’s been downloaded over 40,000 times and continues to be cited all the time. In that sense, [SSRN] filled this really nice niche: we had something that we didn’t write to be an academic publication [and] weren’t going to send to journals. It’s a nice home for things that don’t have a natural fit.

    As a repository for early-stage research, SSRN provides a home for research in all stages of development. Work submitted to SSRN is made available quickly, creating an outlet for real-time research.

    SSRN is a platform where research of many mediums can thrive. We define research broadly: presentations, infographics, case studies, white papers, proceedings, working papers, datasets, conference proceedings, informational guides, reports and more. They exist side-by-side, all with the objective of sharing knowledge at a global level. Because of this, SSRN is a great place for grey literature of all kinds. Even research that doesn’t take a traditional academic pathway can thrive on SSRN.

    The world changes quickly – with technology, faster than ever – and SSRN allows the flow of research to keep up with the changing times. The relevance and impact of research matters, and grey literature is a big contributor to that.

    SSRN is where it starts; submit your research in real-time, bring work of any scale and any format, and contribute to the future of this evolving research and scholarship landscape.

    Want to share your grey literature or other early-stage research on SSRN? Click here to submit your research today.

  • The Latest Research on Cybersecurity & Data Privacy

    The Latest Research on Cybersecurity & Data Privacy

    This list includes a selection of the latest research on cybersecurity & data privacy posted to SSRN in 2025.

    To read more research on Cybersecurity & Data Privacy, subscribe to SSRN’s Cybersecurity & Data Privacy Law & Policy eJournal or view other papers here.

  • Meet the Author: Robert Bird

    Meet the Author: Robert Bird

    Robert Bird is a professor of business law at the University of Connecticut. He conducts research in legal strategy, business ethics, compliance, employment law, and related fields. Bird has authored over eighty academic publications and is a manuscript reviewer for several journals. He spoke with SSRN about the importance of legal education within business schools and how legal knowledge provides value to organizations, both for their bottom line and for creating businesses for good.

    Q: Your main research and teaching focus has surrounded the intersection of business and law. What is it about the relationship between these two that led you to explore it further?

    A: As an undergraduate management information systems major at Fairfield University, I became interested in how legal issues impacted the development of new technologies. I remember writing a paper in the early 1990s on the legal and ethical implications of expert systems, a predecessor to today’s artificial intelligence. When I began my dual JD/MBA degree at Boston University, I found both fields fascinating. Business rewards people who have effective problem-solving skills, strong communication skills, and the ability to lead. Legal studies emphasize thinking on your feet, clear and persuasive legal writing, and an enduring sense of justice and fairness. Law school helped me to connect disparate ideas in a novel and creative way. Business school helped me solve complex problems and connect thought to action. The disciplines, at least to me, seemed to naturally work together, and I found it irresistible to explore more deeply.

    I do not teach in a law school. I’m a lawyer in a business school. For years I felt like a cat in a dog show. The disciplines think in a fundamentally different manner. Traditionally, business faculty research as social scientists, while law faculty emphasize the humanist side of knowledge. Business faculty are skilled at statistical analysis and modeling, while law faculty are adept with abstract ideas and interpretation of textual knowledge. This has its challenges and its opportunities. In a law school, I doubt any professor questions the importance of law in business. In a business school, I initially had to address fundamental questions: “Why do our business students need to know the law? Can’t they just call a lawyer?”

    Having to respond to these kinds of questions has made me a better teacher and scholar. Initially, my standard answer was that “lawyers are important because they keep our students out of trouble, and they prevent companies from being investigated by regulators that result in costly penalties.” No less important, however, is that lawyers can’t be present for every decision a manager makes, and some bad business decisions result in irreversible liability. Businesspeople need to know how the law works in order to minimize their legal risks. Today, I very much value my business school affiliation.

    Legal knowledge can also be used as a source of strategic value for the company. If business people see law as a domain that is just as value-creating as finance and marketing and operations, they will take the law more seriously. They will increase their respect for the rule of law. As a result, you’ll have a company that is inherently primed to act with integrity, follow ethical values, and be socially responsible. That is valuable because what is unethical today is often illegal tomorrow.

    I think studying business is interesting because company operations are intertwined with some of the most important issues in society. Companies are making money, but they’re also impacting the societies in which they sell products. Law focuses on justice, equity and fairness, and I was interested in how companies can not only add value to their bottom line but also help build a better world: business that respects human rights, business that aspires to ethical and sustainable goals. Business schools that know the importance of legal knowledge will give their students a legal education, and those students are more likely to graduate as moral agents for change.

    Q: In your new book, “Legal Knowledge in Organizations,” [which was released in March 2025,] you discuss how legal knowledge can greatly benefit firms by providing them with a distinct competitive advantage. In doing so, you lay out five pathways that firms use to pursue legal strategies. So now going back a ways, in your paper “Pathways of Legal Strategy,” which was included in the Stanford Journal of Law, Business, and Finance in 2008 and was later posted on SSRN, you talk similarly about five pathways. How have you developed the concept of these pathways over time, leading now to your recent book?

    A: I have been interested in how legal knowledge can be a source of value since 2001, when I just started full-time teaching. I still have an inexplicably pink sheet of paper upon which I scribbled the date and title “Ideas for Managerial Law for Strategic Advantage.” Because legal knowledge is so important in the organization, I was interested in how legal knowledge is used by companies, how it can be a source of value for companies, and how legal experts within organizations can deploy legal knowledge. So much of what is written about law in business relates to litigation and conflict. I wanted to learn more about how legal and business experts can work together successfully. Those ideas scribbled on that sheet of paper later became the foundation for my recently published book.

    However, twenty years ago there was limited research on how to use legal knowledge as a source of value for organizations. I looked at a number of companies and how they behaved, and I noticed that there were five different pathways – or patterns – that companies seemed to follow. There’s an avoidance pathway, where the companies ignore legal rules and circumvent enforcement. A firm following the conformance pathway perceives law as little more than a box to be checked, after which you move on to the more important aspects of business. In the prevention pathway, firms will take business steps to avoid legal problems, such as implementing business policies that prevent legal liability from appearing in the first place. This is where most companies believe their best practices are, with legal and compliance experts.

    However, there are two additional pathways: the value pathway perceives law as a source of competitive advantage and shows how legal knowledge can help you open up new markets, manage legal risk more efficiently and have more resources than your competitors do. Then finally, the transformative pathway uses legal knowledge to fundamentally change how the organization works. That means building a culture of integrity in the organization, enduring respect for legal rules, and supporting a close partnership between legal experts and businesspeople that generates a long-term competitive advantage that rivals cannot easily match. These pathways are explored in more detail in my book.

    The book also highlights how legal knowledge helps managers better understand and manage legal risk in a dynamic fashion. This can result in a first mover advantage in a new market. Companies can use the law to capture value in a way their rivals haven’t, and sustain that advantage, because they’re more versed in how the laws work than their competitors. I have applied these pathways of legal strategy to business challenges ranging from whistleblower laws to cannabis regulation.

    There’s a rich volume of information in this book. I also focus on legal risk management, and I apply an acronym called VUCA, which stands for volatility, uncertainty, complexity and ambiguity. Each of those four risk management techniques presents a distinct risk but also a distinct opportunity that can help companies assess risk, effectively avoid legal liability, and generate value through a well-coordinated response. The VUCA method perceives legal risk in a novel way, enabling firms to manage legal risk better than their rivals.

    Q: Of the five pathways you just discussed, the fifth, transformation, can bring significant benefits, but it is one that you’ve said few companies can successfully achieve, as it requires the company to rethink the way the entire organization works. What are some of the barriers that might prevent well-meaning companies from following the transformation pathway?

    A: The transformation pathway requires a fundamental change in the culture of the organization that fully embraces the value of legal knowledge as a strategic asset. However, there are two primary barriers that prevent this from happening. One barrier is that lawyers will sometimes be too risk averse and will focus on the technical nature of law rather than integrating their decisions into the strategy of the firm. The other barrier is that managers do not receive sufficient legal education to appreciate the importance of law or productively communicate with their legal team. If a manager does not know what the law is or how the law works, the manager can’t ask questions of their legal counsel such as, “Can you build me a legal strategy? Can you work with me as a strategic partner?”

    One of my key missions is to highlight the critical importance of legal education in business schools. At schools like the University of Connecticut, we are committed to that legal education. Every student that earns an undergraduate degree or an MBA receives at least one course in business law and ethics. These students understand what law is, how law works, and why it’s important to companies.

    Some business schools don’t require legal knowledge to get an MBA. Their students graduate with their business degree, and even though they have this elite pedigree, they don’t understand the law. They have not learned how to read a contract, legally hire and fire an employee, avoid insider trading, deal with regulators, negotiate with counter parties, protect the environment, and a variety of other legal issues that companies face every day. No business school should bestow a business degree on a student whose entire legal knowledge comes from watching reruns of Law & Order.

    Law is a critical part of business education. If they don’t get legal education, they’re not going to think of their lawyers as anything more than litigators. Lawyers can be so much more valuable than that: they can be strategic partners, they can be thought leaders, they can help change the culture of the organization to one that’s committed to integrity, which is not only good for society, but improves the bottom line. Legal knowledge is the last great untapped source of competitive advantage in organizations. My recently published book helps unlock that value for anyone who wants to read it.

    Q: What aspects of the book do you think are especially timely now?

    A: Right now, regulations are more complex, more comprehensive, and more punitive than at any other time in business history. Changes in presidential administrations, and radical shifts in how legal rules are enforced, do not create a steady state for companies. All that does is create turbulence for firms and increase their cost of operations. Companies can’t take efficient risks, and they can’t optimally plan for the future. Managers need legal knowledge now more than ever in order to handle the legal standards that are in a state of almost constant change.

    In addition, law is critical for the global economy. Today, respect for the rule of law and the adherence to following the rule of law is being challenged in a way that it hasn’t in decades. Companies need the rule of law to survive. Unwise firms see the rule of law as just another burden or obligation or another box that needs to be checked. In fact, legal mandates establish the rules of global markets. Legal rules provide certainty in terms of their regulatory obligations, especially when they’re well written. Legal knowledge also helps companies understand how to manage their workforce and how to protect the environment.

    Q: You’ve said in previous discussions, regarding why rules and regulations are so complex, that “words are finite and imprecise tools that are trying to govern and account for an infinite number of situations.” How would you suggest laws be structured in order to be succinct while still managing to capture an array of scenarios and account for possible loopholes? Where is that balance?

    A: Legal regulation needs to be as simple as it needs to be, and no simpler. What does that mean? That means there are a bunch of ways to make laws functional and effective. First is that legislators need to be careful to draft rules that do not have deliberate opacity. The more specificity you can provide, the more guidance you have for firms. That said, if there is too much specificity, where firms lack the flexibility to respond to mandates, then the law becomes convoluted. Complex laws aren’t necessarily bad. Sometimes laws have to be complex to meet their goals. Convoluted laws, however, are unnecessarily complex, and that’s the kind of law that drafters need to avoid.

    This may sound counterintuitive, but Americans enjoy the significant freedom where there is strong, consistent, and well-written regulation. For example, almost every city and town in the U.S. has traffic lights. Laws that require people to listen to traffic lights restrict freedom because they stop you from getting where you need to go, while others can cross the road. But if everyone just ignored traffic lights, there would be more traffic jams, accidents, and even deaths. Getting from one place to another would be much harder. Delivering goods and services would be more difficult. So, while traffic lights restrict freedom on one level, they actually increase the freedom of people overall to get where they need to go safely and quickly.

    The same goes for markets. Without strong and well-written regulation, you create chaos. Law is an accelerant for commercial transactions. Laws help prevent corruption in markets. Laws enable companies to make and enforce contracts. Laws protect intellectual property rights. Laws enable free and fair global trade. Laws keep the peace so that business can flourish. You want strong business; you need strong legal rules. You want an efficient market; you need efficient regulation. Law and business go hand-in-hand to make a functioning society and global market thrive.

    Q: You have many papers on SSRN, which have been frequently downloaded over the past twenty-plus years. Are there any in particular that you’d like to highlight?

    A: I am currently studying the harmful impact that corporate tax avoidance has on society, and how tax avoidance can be more effectively prevented. I have an article talking about the moral economy against tax avoidance. A moral economy in this context is a network of beliefs that society has about certain economic practices. These beliefs arise from collectively held notions of fairness and equitable opportunity. When a wealthy taxpayer uses aggressive tax avoidance to squeeze through loopholes of legal rules and avoid paying taxes, that hurts everyone in society. A moral economy against tax avoidance would empower individuals in society to condemn the practice, thereby discouraging all but the most aggressive avoiders from circumventing their obligations to contribute to the public good.

    I have also co-authored an article on an organization-centered approach to whistleblowing law. Most scholars study whistleblowing law from a legal perspective and how it applies to the organization. This article focuses on how organizations can engage in self-regulation in order to better manage whistleblowing risks. Whistleblowers may be perceived as just another cost of doing business, but whistleblowing laws can be a source of competitive advantage. Applying the five pathways of legal strategy researched earlier, this article shows how companies can leverage employees who are potential whistleblowers into valuable allies that create value for the organization.

    Q: In addition to business law, you also have an interest in business ethics. What are the essential principles that companies must know in order to be ethical?

    A: There are four principles of values-driven management that every organization should fully embrace. These four principles serve as four legs of a platform of responsible business practice. The first principle is business ethics, the internal values of the firm. Business ethics focuses on the individual decision-making in the organization that shapes how the organization functions on a day-to-day basis. Strong ethical principles can be the basis of a culture of integrity. By a culture of integrity, I mean ethical values that are so strong that employees comply with those values because they believe in them and not because they have to be asked to do so. The absence of ethical principles leaves companies morally adrift and prone to mistakes that can hurt the company’s reputation or trigger legal liability.

    The second principle is corporate social responsibility, which focuses on a company’s obligation to its stakeholders. These include shareholders, employees, neighbors, community, society, regulators, suppliers, creditors, the environment, and others. The third principle is sustainability. Sustainability focuses on management of collective resources over time. What responsibility do organizations have not just today, but also next year, 20 years, and 50 years from now? How do we sustain an environment that will be preserved for our grandchildren and our great grandchildren?

    The fourth principle is business and human rights. This focuses on inalienable rights that all persons have regardless of wealth or nationality. All people have a right to life, a right to education, a right to a fair wage, and a right to be able to raise a family in a safe environment, free from war and conflict. These rights are so strong they override the economic interests of corporations. Human rights are the vanguard of these values-driven principles.

    Finally, my colleagues and I have developed a new program at UConn, a Master’s in Social Responsibility & Impact in Business. The program trains students not only in business principles, but also in how companies can be a source of good for society. They can also be agents for cultural change, promoting sustainability and human rights, and advancing goals of business ethics. We’re training both change makers and change accelerators in organizations. We can show them not only that acting responsibly is good for society, but also that it’s good for business in the long term. An ethical company is a profitable company. A sustainable company is a profitable company. That’s something that we are showing our students now.

    Q: How do you think SSRN fits into the broader research and scholarship landscape?

    A: I joined SSRN over 20 years ago, and it has been my go-to mechanism to distribute scholarship to the wider academic community. Virtually every manuscript that I’ve drafted goes on SSRN before it gets submitted to publication. I find it to be a key vector for disseminating my research before it eventually gets published. SSRN is a living embodiment of tomorrow’s research today. Instead of waiting potentially years to be formally published, through SSRN my working paper is shared with a wide audience in a short time.

    I’m just a few quick clicks away from sharing my work with interested colleagues who will be able to easily find it. I don’t have to wait until publication. When you’re on SSRN, you’re in an ecosystem where people are looking for current knowledge, and if they find your work, they’re going to cite it before it gets to publication.

    SSRN also brings research to me. The eJournals are one of the primary ways that I learn about research that’s not within my immediate network. SSRN is also excellent for accessing international scholarship. There are scholars in other countries that I may never hear about except for on SSRN. SSRN is a gateway to world scholarship.


    More About Robert Bird

    Robert Bird is a professor of business law and the Eversource Energy Chair in Business Ethicsat the University of Connecticut. He conducts research in legal strategy, business ethics, compliance, employment law, and related fields. Bird has authored over eighty academic publications, including articles in the American Business Law Journal, Journal of Law and Economics, Law and Society Review, Boston University Law Review, Boston College Law Review, and the Harvard Journal of Law and Public Policy. Robert has received sixteen research-related awards – including the Academy of Legal Studies in Business (ALSB) best international paper award, distinguished proceedings award, and the Holmes-Cardozo best overall conference paper award – and various teaching-related awards, such as the outstanding article of the year award two years in a row from the Journal of Legal Studies Education, and the student-selected Alpha Kappa Psi Teacher of the Year award. Robert is also a manuscript reviewer for several journals and is a past president of the Academy of Legal Studies in Business, the international academic organization for professors of law in schools of business.

  • The Latest Research on Birthright Citizenship

    The Latest Research on Birthright Citizenship

    This list includes the latest research on birthright citizenship posted to SSRN in 2025.

    To read more research on birthright citizenship, subscribe to SSRN’s U.S. Constitutional Law: Rights & Liberties eJournal or view other papers here.