Bizcast: Walmart’s Chief People Officer Donna Morris on the Future of Work
In this episode, Morris joins CBS Professor Stephan Meier to discuss how Walmart is building a resilient, tech-powered, and people-led workplace.
Through cutting-edge curricular innovation, our MBA, Executive MBA, MS, and PhD programs introduce new courses and research that seamlessly integrate AI into the student experience. From exploring the impact of AI across industries to developing hands-on experience with the latest tools, students can build confidence in using the latest tech in their chosen fields.
AI plays a critical role in the rapidly evolving modern workplace, and with a curriculum that emphasizes its societal and business implications, students can fully prepare to lead in this rapidly evolving landscape. Explore how our students, faculty, centers and programs are engaging with AI at Columbia Business School.
In this episode, Morris joins CBS Professor Stephan Meier to discuss how Walmart is building a resilient, tech-powered, and people-led workplace.
Research from Columbia Business School examines the challenges posed by generative AI in hiring and entrepreneurial pitching, offering insights into when AI helps — and when it hinders.
Chris Levesque, President and CEO of TerraPower, explains how next-generation reactors and innovative energy storage are reshaping nuclear energy's role in the global transition to sustainability.
Award-winning research from Professor Laura Doval tackles the “limited commitment” problem in economics, offering a model that helps governments and firms adjust rules and strategies based on new information over time.
Columbia Business School Professor Stephan Meier explains how leaders can calm AI-related concerns, while also creating value.
Columbia Business School Professor Olivier Toubia shares the many upsides – and downsides – of AI in the workplace.
Ashli Carter, a lecturer at Columbia Business School, explains one of the ways she uses AI to help students build resilience.
Columbia Business School Professor Omar Besbes explains how AI is democratizing workplace productivity.
AI is integrated into our courses in ways that support student’s projects and inspire rich class discussions. Tools like ChatGPT are used to assist in breaking down complex research techniques, run business simulations, visualize data in real time, and to show students to think in new ways and explore innovative solutions.
At Columbia Business School, we introduce you to the methods and tools that organizations around the world use to leverage data and artificial intelligence. You will learn how these techniques work, and how to use them. The curriculum spans everything from basic data analysis to generative AI, and contains classes suitable for all skill levels.
Generative artificial intelligence (AI) is reshaping industries worldwide, and higher education is no exception. Much like other transformative innovations before it, AI-powered language models have introduced new opportunities and challenges, changing the way students learn and how instructors teach.
At Columbia Business School, the Arthur J. Samberg Institute for Teaching Excellence serves as a guiding force in this ongoing transformation, equipping faculty with the knowledge, tools, and strategies they need to leverage generative AI for effective teaching.
The Digital Future Initiative focuses Columbia Business School’s world-class research and teaching on how technology is altering all industries and the fabric of daily life.
AI is changing the way we work, and the Career Management Center (Careers) at Columbia Business School has organized numerous AI-focused events and introduced AI-powered tools to help students and alumni adapt to these changes and achieve their long-term professional goals.
More upcoming AI events will be added soon.
Language is a uniquely human trait at the core of human interactions. The language people use often reflects their personality, intentions and state of mind. With the integration of the Internet and social media into everyday life, much of human communication is documented as written text. These online forms of communication (for example, blogs, reviews, social media posts and emails) provide a window into human behaviour and therefore present abundant research opportunities for behavioural science.
One of the most significant levers available to gaming companies in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in free-to-play (F2P) games, where the paid version often aims to enhance the player’s experience and to facilitate faster progression. In this paper, we leverage a large randomized control trial to assess the effect of dynamically adjusting game difficulty on players’ behavior and game monetization in the context of a popular F2P mobile game.
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling influences consumer choice in e-commerce settings even when there is no face-to-face interaction.
Screening human capital based on signals such as job applications or entrepreneurial pitches is crucial for organizations. Signals are often informative insofar as they require differential knowledge and effort to produce. Generative AI (GAI) complicates screening by lowering the cost of producing impressive signals. We model the informational effects of GAI, showing that applicants' access to GAI can increase—but also decrease—an evaluator's screening mistakes. This result depends on how GAI affects experts' signals compared to non-experts'.
Whether speaking, writing, or thinking, almost everything humans do involves language. But can the semantic structure behind how people express their ideas shed light on their future success? Natural language processing of over 40,000 college application essays finds that students whose writing covers more semantic ground, while moving more slowly (i.e. moving between more semantically similar ideas), end up doing better academically (i.e. have a higher college grade point average). These relationships hold controlling for dozens of other factors (e.g.
Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.
This paper theoretically and empirically investigates the effects of liquidity regulation on the banking system. We document that the current quantity-based liquidity rule has reduced banks’ liquidity risks. However, the mandated liquidity buffer appears to crowd out bank lending and lead to a migration of liquidity risks to banks that are not subject to liquidity regulation. These findings motivate a model of liquidity regulation with endogenous liquidity premiums and heterogeneous banks.
The rapidly growing artificial intelligence industry is due to experience tighter government oversight. With the Federal Trade Commission (FTC) monitoring the business practices of companies like OpenAI and Microsoft and the Justice Department's antitrust division ensuring fair competition within the sector, the US stands to correct course on regulating AI.
In addition to providing opportunities for efficiency for students and employees, the rise of AI has also provided entertainment for its early adopters. Liz Reid, head of Google Search, attributed inaccurate (and often, funny) answers to questions to “data voids” and satirical websites. Seeing that the Internet has an incredible amount of bad data and misinformation, how will generative AI prevent its tendency to hallucinate or simply make up answers?
Bank of Japan Deputy Governor Ryozo Himino spoke in a panel titled, “Evolving Monetary Policy in Japan and the United States,” at the annual Tokyo conference held by the Center on Japanese Economy and Business on June 4, 2024. Japan Times included a quote from the panel session in the article, “BOJ weighs reducing bond buys as early as June meeting,”
A recent survey of generative AI decision-makers (672 across US-based organizations) revealed that AI is improving efficiency and data literacy in the workplace. However, does the opportunity for efficiency outweigh the risks when it comes to a rapidly evolving technology like AI?