A5064161050- Consumer Market Behavior and Pricing
- Digital Platforms and Economics
- Supply Chain and Inventory Management
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Auction Theory and Applications
- Forecasting Techniques and Applications
- Impact of AI and Big Data on Business and Society
- Housing Market and Economics
- Manufacturing Process and Optimization
- Economic and Technological Systems Analysis
- Advanced Causal Inference Techniques
- Korean Urban and Social Studies
- Food Supply Chain Traceability
- Global Trade and Competitiveness
- Consumer Retail Behavior Studies
- Economic Policies and Impacts
- Corporate Finance and Governance
- Innovation Diffusion and Forecasting
- Engineering Technology and Methodologies
- Urbanization and City Planning
- Digital Transformation in Industry
- Economic and Environmental Valuation
- Private Equity and Venture Capital
- Enterprise Management and Information Systems
Boston College
2018-2024
In “Demand Estimation Under Uncertain Consideration Sets,” Jagabathula, Mitrofanov, and Vulcano investigate statistical properties of the consider-then-choose (CTC) models, which gained recent attention in operations literature as an alternative to classical random utility (RUM) models. The general class CTC models is defined by a joint distribution over ranking lists consideration sets. Starting from important result that RUM classes are equivalent terms explanatory power, authors...
The arrival of the gig economy has led to an unprecedented explosion person-to-person task outsourcing: driving, food pickup, and shopping can all be done by someone other than consumer. Such outsourcing potentially creates new challenges for workers: knowing most efficient route, determining entrance customer's home, or where find product they are for. To better understand extent which technological innovations help mitigate these challenges, we conducted field experiments on a grocery...
A Framework to Run Personalized Promotions The availability of individual-level transaction data allows retailers implement personalized operational decisions. Although such decisions have been around for several years now in online platforms, recent technological developments open new opportunities extend similar practices bricks-and-mortar settings (e.g., by using electronic price tags show different prices customers or beacon-based technology send promotion offers targeted customers). In...
To estimate customer demand, choice models rely both on what the individuals do and not purchase. A may purchase a product because it was offered, but also considered. account for this behavior, existing literature has proposed so-called consider-then-choose (CTC) models, which posit that customers sample consideration set then choose most preferred from intersection of offer set. CTC have been studied quite extensively in marketing literature. More recently, they gained popularity within...
Problem definition: Opportunity zones (OZs) are designated census tracts in which real estate investments can gain tax benefits. Introduced by the U.S. Tax Cuts and Jobs Act of 2017, goal OZ program is to foster economic development distressed neighborhoods. In this paper, we investigate optimize selection process examine impact OZs exploiting two data sets: a proprietary set that includes 36.1 million residential transactions spanning all 50 states census-tract demographics between 2010...
The identification of choice models is crucial for understanding consumer behavior and informing marketing or operational strategies, policy design, product development. parametric choice-based demand typically straightforward. However, nonparametric models, which are highly effective flexible in explaining customer choice, may encounter the challenge dimensionality curse, hindering their identification. A prominent example a model ranking-based model, mirrors random utility maximization...
Ensuring product availability and the successful fulfillment of orders are key priorities for any company operating in retail industry. In this paper, we investigate how sharing information regarding low certain items can influence customers' purchase decisions, both preventing stockouts mitigating negative effects with respect to customer long-term behavior. It is hard predict net impact item on business metrics ex-ante because there multiple that might act opposite directions. The policy...
Problem definition: Are customers loyal to a ride-hailing platform or they see this service as commodity and multihome (i.e., check several platforms before booking ride)? Using large panel dataset on transactions, we investigate what extent multihome. Our offers unique opportunity study question observe the repeated choices of riders for both Uber Lyft. comprises more than 1.4 million rides completed by 162 thousand in NYC 2018. Methodology/results: We develop comprehensive structural model...
We propose a back-to-back procedure for running personalized promotions in retail operations contexts, from the construction of nonparametric choice model where customer preferences are represented by directed acyclic graphs (DAGs) to design such promotions. The source data includes history purchases tagged id, and product availability promotion category products. In each DAG nodes represent products edges relative preference order between two Upon arrival store, samples full ranking within...
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The year 2019 witnessed two unicorn IPOs from ride-hailing platforms: Lyft at a $24.3 billion valuation and Uber $82.4 valuation. Did these platforms strategically adjust their marketing decisions before to appease investors? To answer this question, we use comprehensive, granular, panel dataset with 13 million rides completed by 250,000 consumers between January 2018 July 2019. Using each IPO filing day as natural experiment, examine how events influenced the price promotional of Uber....
В условиях радикальных изменений в бизнесе существует острая потребность новых инструментах и методах, которые могут помочь организациям стать более эффективными. статье рассмотрены масштабы характер проблем качества конкурентоспособности отечественной промышленности. Уточнена сущность цифровых технологий, названы современные методы цифровизации промышленного производства. Проанализированы преимущества недостатки применения робототехники на промышленных предприятиях. Рассмотрены ошибки...
В данной статье рассматривается применение цифровых двойников в производственной сфере с целью оптимизации процессов и повышения эффективности. Цифровые двойники представляют собой виртуальные модели физических объектов или систем, которые позволяют симулировать анализировать различные сценарии реальном времени. Статья начинается обзора основных концепций технологий, лежащих основе создания двойников, а также их интеграции существующими производственными системами. приводятся примеры...