Tag: Research Centers

Operational risk can have a crippling effect on a company if not managed properly. This is especially true in the financial services industry. Banks and investment firms must pay close attention to variables that have the potential to impact their operations, not only from the breakdown of technology and processes, but also from a personnel perspective. The responsibility of managing one’s money is great, and the inability to properly anticipate and manage potential risk factors can have a devastating effect, all the way up to the industry level. A case in point was the subprime mortgage crisis of the late 2000s, which led to a nationwide economic recession.

Mike Pinedo, the Julius Schlesinger Professor of Operations Management at New York University’s Stern School of Business, is an expert in risk management research, particularly in the context of the financial services industry. In his presentation at The Boeing Center’s 13th annual Meir Rosenblatt Memorial Lecture, he described the main types of primary risks in a financial services company: market risk, credit risk, and operational risk. Ops risk, which is the risk of a loss resulting from inadequate or failed internal processes, people, or external events, may be the most important factor, he claimed.

Pinedo goes on to describe various types of operational costs such as human resources, I.T. investments, and insurance costs, and how they impact corporate risk management. For example, rogue traders can pose a risk if they make inadvisable decisions, so some investment firms choose to take out insurance against that possibility. Other types of ops risk include transaction errors, loss of or damage to assets, theft, and fraud, all of which can pose a catastrophic risk at the industry level. Pinedo adeptly inserted anecdotes into his lecture to provide examples of these risk factors playing out in the real world.

The annual Meir J. Rosenblatt Memorial Lecture brings the “rock stars” of supply chain and operations to the Danforth Campus every fall. Each lecture gives prominent thinkers and practitioners alike the opportunity to hear an expert in the field highlight emerging trends.

This lecture series was established in 2003 to honor the memory of Meir J. Rosenblatt, who taught from 1987 to 2001 at Olin Business School as the Myron Northrop Distinguished Professor of Operations and Manufacturing Management. A leader among faculty, Rosenblatt often won the Teacher of the Year award at Olin and authored the book “Five Times and Still Kicking: A Life with Cancer,” having battled cancer multiple times throughout his life.


For more supply chain digital content and cutting-edge research, check us out on the socials [@theboeingcenter] and our website [olin.wustl.edu/bcsci]

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A Boeing Center digital production

The Boeing Center

Supply Chain  //  Operational Excellence  //  Risk Management

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Meet Jake Feldman, Assistant Professor of Operations & Manufacturing Management at Olin Business School. In this video, he shares some insights into two of his recent papers based on customer choice research: “Revenue Management under the Markov Chain Choice Model” and “Appointment Scheduling under Patient Preference and No-Show Behavior.”

These papers focus on the common challenges of product offerings:

  • How retailers decide to display products in order to make the most money
  • How organizations in the service industry can schedule the most appointments (e.g., hospitals, doctors, auto repair shops, etc.)

Feldman studies these challenges using mathematical models that measure customer substitution behavior. He uses these complex modeling problems to estimate the best set of products to offer to the customer.

In the Pipeline is a Boeing Center digital series that highlights in-progress academic research in the fields of supply chain, risk management, and operational excellence. It features professors from Washington University’s Olin Business School, and demonstrates The Boeing Center’s ongoing pursuit of cutting-edge research and knowledge dissemination.


For more supply chain digital content and cutting-edge research, check us out on the socials [@theboeingcenter] and our website [olin.wustl.edu/bcsci]

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A Boeing Center digital production

The Boeing Center

Supply Chain  //  Operational Excellence  //  Risk Management

Website  • LinkedIn  • Subscribe  • Facebook  • Instagram  • Twitter  • YouTube




The Quantitative Marketing and Structural Econometrics Workshop hosted this month at Washington University attracted 153 PhD students and faculty from across the country who create complex models to dice and slice big data sets for research in the areas of marketing, economics, and operations.

The workshop’s goal is to prepare PhD students for the rigors of research in the academic job market, according to Olin’s Raphael Thomadsen, associate professor of marketing and co-organizer of the gathering.

Olin Professor Raphael Thomadsen“We saw many students going into the job market with supposed ‘structural’ papers which were not meaningfully structural at all,” said Thomadsen who created the workshop in 2010 with Brett Gordon, a professor at Kellogg School of Management.

“Rather, these papers had very complex models that were often not identified by the data. Further, many people ran structural models without understanding what benefits a structural model might bring.”

Zhenling Jiang, a PhD student at Olin, attended the workshop for a second time this July. She is preparing to go on the marketing job market in Summer 2018. According to Jiang, “It was hugely helpful for my PhD study. The workshop brings thought leaders in the field to share their experience and state-of-the-art techniques to students. Each topic is taught by someone who is highly experienced in the area.”PhD candidate Zhenling Jiang

The workshop is intended for PhD students in marketing, economics, or related business disciplines who have completed at least two courses on microeconomics and econometrics. So, as you would imagine, I needed her help translating the subject for this post.

Basics of Structural and Non‐Structural Analysis

Thomadsen kicked off the workshop with the basics, as depicted in this chart:

classification of empirical work

Descriptive statistical analysis I understood, but models were new to me.

So I asked Jiang to explain: “Theory-based models draw on analysis of theories about how agents behave. The model could come from economic theory or psychology theory. For example, consumers maximize their utility or firms maximize profit. The structural model describes how agents make decisions, and this results in the observational data being generated from agents behaving according to the model (i.e. the data generating process).

“By getting the ‘primitives of the model,’ effectively we know how agents will behave. The powerful thing about structural models is that you can simulate what agents’ behavior will be like under a different situation (counterfactual analysis) that is not observed in data.”

Her explanation was helpful, but still a little beyond my comprehension. Another presentation takeaway was reassuring, “Structural need not be complex, and complexity does not mean structural.” But then came the next presentation.

Model-Free Evidence and Structural Models

Brett Gordon presents Model-Free Evidence and Structural Models

Professor Brett Gordon led the students through a marketing problem about a digital advertising campaign for an online retailer. How did exposing consumers to an online ad (with a $10 discount code) affect sales? He explained that descriptive analysis—model-free evidence—should motivate a structural model.

Then, by applying a structural model to the observational data, one can make predictions beyond the observed data. For example, what would sales be if free shipping were offered?

structural model example

structural model assumptionsAnswering questions like this is why we need PhDs in marketing.

PhDs intently focused at Quantitative Marketing WorkshopAccording to Thomadsen, the workshop has two types of sessions: philosophical and technique. “For the philosophical sessions, we want students to understand that when one estimates a structural model (or any model, really), one needs to think about the data generating process behind it. If one cannot identify what variation in the data links the data to the parameter estimates, then one needs to either get better data or use a different model.

“For the technique sessions, we discuss how to estimate demand, how to solve models with dynamics (where the choices you make today affect the tradeoffs you face tomorrow), estimate game theory models (where the choices one person/firm makes affects the payoffs of another person/firm, and vice versa), and new machine learning techniques.”

Note: The Quantitative Marketing and Structural Econometrics Workshop was hosted at Washington University on July 17-19, 2017. Previously, Thomadsen co-organized this workshop with Brett Gordon of Kellogg, and Rick Staelin of Duke University. The workshop was held at Duke’s executive center in 2010 and 2013 and at Kellogg’s Allen Center in 2015. Attendance has ranged roughly from 95 – 130 students and faculty in the past years, not including the organizers and presenters.




Distributed : Trade Conference logo

Digital disruption will meet financial services on July 24, 2017, at Olin Business School, to determine how blockchain technology will shape the future of trading. The second annual Distributed: Trade blockchain conference is sponsored by Olin’s Wells Fargo Advisors Center for Finance and Accounting Research (WFA CFAR), BTC Media, and the SixThirty fintech seed fund and accelerator.

Anjan Thakor

“The WFA CFAR is pleased to support the second blockchain conference on the Washington University campus,” said John E. Simon Professor of Finance Anjan Thakor, director of doctoral programs and CFAR. “This is a unique opportunity to exchange ideas about one of the exciting new developments in financial markets.”

An accompanying 24-hour blockchain hackathon will be held from July 22 to 23 at  T-REX, the technology incubator located in downtown St. Louis.

The conference will build on the revelations and groundbreaking progress made last year with proofs of concept and lessons learned from industry trailblazers. More than 300 attendees will hear from over 40 speakers.

Returning speakers include Brian Behlendorf, executive director of Hyperledger, and Iliana Oris Valiente, strategy and execution lead for Deloitte/Rubix. New speakers include Andrew Keys, head of global business development for ConsenSys, and Brook Armstrong, CEO and co-founder of Blockskye.

“The inaugural Distributed: Trade conference was such a success, both for attendees and our presenters, that we knew it would return to the international trade and financial services hub of St. Louis,” said David Bailey, CEO of BTC Media. “This year we plan to build on that success and take a deeper dive into the disruptive potential that blockchain technology has in this space.”

The conference is being presented by BTC Media in partnership with SixThirty, the global fintech seed fund based in St. Louis, and is the first global event focusing on blockchain technology applications for both trade networks and financial services.

“Distributed ledger technology holds a ton of promise for the ‘world of trade,’” said Atul Kamra, managing partner of SixThirty. “We are bringing together leading thinkers and practitioners to the ‘Show Me State’ to realize this promise and accelerate adoption.”

Distributed: Trade will be a place for blockchain technology innovators, enterprising startups, and firmly established legacy players to discuss the opportunities presented by distributed ledger technology in global payments, insurance services, supply chain management, and capital market operations.

“Distributed is an awesome series of events,” Behlendorf said. “I always have interesting conversations and find the panels go well beyond the standard format and content. It’s great to be able to dive deep into a given sector during each event. I attend as many as I can.”

For details and registration, visit distributed.com/trade.

Source: BTC Media news release


Technology is changing the landscape of supply chain at a breakneck pace, and organizations that are able to stay ahead of the curve often enjoy a significant advantage over their industry competitors. Digitization, cloud computing, big data, Internet of Things, and artificial intelligence are all major factors in shaping operational strategy. These manufacturing innovations have given rise to a trend dubbed Industry 4.0.

John Stroup, President and CEO of Belden Inc., paid a visit to The Boeing Center to share his wealth of knowledge, and to give a brief history of Industry 4.0, aka the Smart Factory. He explained that Industry 4.0, a term coined in Germany, is the fourth major iteration in manufacturing processes. “‘Smart Manufacturing,’ ‘Intelligent Factory,’ and ‘Factory of the Future’ all describe an intelligent, flexible, and dynamic production facility, where machinery and equipment will have the ability to improve processes through self-optimization and autonomous decision-making,” said Stroup. The major improvements from 3.0 to 4.0 are the ability to automate complex tasks (even remotely) and the access to data across the whole supply chain that allows for greater flexibility and connectivity.

Stroup went on to discuss the key characteristics of the Smart Factory and how innovations in digital technology have improved existing business models and enabled new ones. Such innovative technology allows for improved productivity, flexibility, and decision making, all of which benefit manufacturers and consumers alike.

For more supply chain digital content and cutting-edge research, check us out on the socials [@theboeingcenter] and our website [olin.wustl.edu/bcsci]

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A Boeing Center digital production

BCSCI

Supply Chain // Operational Excellence // Risk Management

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The Friends of Olin reception is one of the highlights of the year. It allows Olin to thank the many volunteers who help shape our students’ development. The event took place on May 12, a week before Commencement.

Dean Mark Taylor kicked off the event by thanking our guests for being judges, mentors, speakers, volunteers, advisory board members, and employers.

Over the course of the school year, nearly 2,000 individual volunteers provided insights and guidance to help students develop to their maximum potential.

More than 300 guest speakers shared their expertise in and out of the classroom, and over 125 companies networked with our students at our Meet the Firms events throughout the academic year.

Poets & Quants celebrated two of our BSBA students, Colton Calandrella and  Jessica Landzberg, and two of our MBA students, Markey Culver and Conn Davis, this year.

Todd Milbourn introduced our three featured speakers: Lillie Ross, BSBA’17, Professor Dan Elfenbein, and IBM’s Jerry Lis. Each speaker shared their perspective on the role and impact of Olin’s many friends.

Speakers: Dan Elfenbein and Lillie Ross.

Lillie spoke of mentorship and the meaningful relationship with a Friend of Olin that she developed her sophomore year and will last beyond her graduation.
Professor Elfenbein waxed poetic on the value of having classroom speakers who help illustrate the key learnings from his class.

Jerry Lis shares from the heart how IBM is a Friend of Olin.

Finally, Jerry Lis spoke of how important it has become for IBM to have a strong relationship with Olin and how both his company and the University have benefited from the partnership. It was a beautiful afternoon and a great way to celebrate our corporate partners and their help in creating the Olin experience.

Friends of Olin take home gift

Special thank you cookies for Friends of Olin.

©Photo by Jerry Naunheim Jr.