Innovation Opportunities and Risks Archives

How vs. How and Why Nudges: When Stating Your Case Isn’t as Effective

Marketers and policymakers often use nudges to help consumers make welfare-increasing decisions, such as encouraging physically and mentally healthy choices. This research explores when one nudge is more effective than another. More specifically, it demonstrates nudges focusing on telling consumers how to do something are more effective than nudges telling consumers how and why to do something. This is because listing the reasons why a consumer should do something creates the potential for a mismatch between the listed reasons and a consumer’s personal reasons for considering engaging in a behavior. This mismatch, in turn, leads consumers to believe said behavior will benefit their quality of life less than they might have believed otherwise. These findings…Read More

Electric Vehicle (EV) Fleet and Charging Infrastructure: Decision-Making by Drivers

The gig economy is rapidly integrating electric vehicles (EVs) into its infrastructure, particularly within ride-hailing services such as Uber and Lyft. Algorithms play a crucial role in this ecosystem, determining customer pricing, driver compensation, and matching drivers with customers. While these algorithms have enabled efficient matching of supply and demand, they also face criticisms, including a lack of transparency, potential bias, and inefficiency. This study investigates the decision-making processes of EV drivers within the gig economy, focusing on how charging infrastructure and fleet size impact…Read More

Vertical Integration in the Video Streaming Market

Vertical integration in the video streaming market has become increasingly prevalent in recent years. Notable examples include Amazon’s merger with MGM, Walt Disney’s acquisition of Hulu, and the launch of streaming platforms by various studios such as Paramount and NBCUniversal. Many studios now license most of their shows to their vertically integrated streaming platforms, which has led to consumer complaints about the need for multiple subscriptions to access content that they…Read More

Artificial Intelligence, innovation, and product market dynamics

This research project aims to investigate the impact of artificial intelligence (AI) investments by non-tech firms (AI-adopters) on product market competition, innovation, and industry dynamics. By leveraging novel datasets, including firm-level AI-workers, product-level pricing and quantities, and textual information from company filings, this study seeks to provide new insights into how AI adoption…Read More

Private Equity, Corporate Acquirers, & Product Innovation: An Investigation of Corporate Science Acquisitions 1990-2022

Private equity has become an increasingly active player in technology acquisitions in recent years, yet most strategy scholarship has focused on the effects of corporate acquirer ownership on innovation outcomes, providing little guidance to managers on how to choose between the two M&A options. To remedy this gap, I examine how private equity and corporate acquirers differentially affect product innovation at acquired targets using hand-collected new product introduction announcements.…Read More

Exerting Effort to Choose Increases Generosity

Recently in the gifting industry, websites allow consumers to set up cash registries (e.g., honeymoon and baby fund registries) to elicit gifts in different ways. For example, consumers may set up a cash registry that lists a lump sum expense (e.g., $5,000 for a honeymoon). Alternatively, they may set up an itemized registry, that breaks up the total expense into smaller expenses, such as travel, lodging, and activities during the honeymoon.…Read More

Building Business Foresight Capabilities

The objective of this research is to study how organizations can develop superior business foresight capabilities, defined as capabilities to develop accurate beliefs about future business opportunities and threats in an industry undergoing significant disruptive change. These capabilities will be embedded among people and processes that will include the use of Artificial Intelligence (AI) technologies such as Large Language Models (LLMs).…Read More

Price Regulation in Centralized College Admission Systems: Evidence from India

This project explores the effect of government price intervention on student enrollment decisions and education quality in private higher education markets with centralized admissions. In particular, the emphasis will be on understanding changes in the enrollment patterns and educational outcomes of historically underrepresented ethnic groups (Backward Castes, Scheduled Castes, and Scheduled Tribes).…Read More

Will EFTs Drive Mutual Funds Extinct?

I study investors’ trade-off between ETFs and open-ended mutual funds in the presence of idiosyncratic liquidity risk and aggregate uncertainty. Based on a portfolio choice model, I show that ETFs and mutual funds provide liquidity at different maturities. Mutual funds (ETFs) are preferred by investors facing high (low) idiosyncratic liquidity risk and shorter (longer) investment horizons. In equilibrium, the pooling of investors into fund types based on their expected investment horizon directly emerges from the differential frictions of ETFs and mutual funds. Over the long-term, payoff complementarities in mutual funds dilute investors fund holdings and generate underperformance vis-à-vis ETFs. Yet, in the short-run, ETFs can be mispriced due to intermediary arbitrage constraints. The optimal size of the mutual fund sector relative to ETFs decreases in the illiquidity of portfolio assets but increases in the proportion of mutual fund shares held via retirement accounts.…Read More

Consumer Preferences and Firm Technology Choice

Advances in technology change the way consumers search and shop for products. Emerging is the trend of home-shopping devices such as Amazon’s Alexa and Google Home, which allow consumers to search or order products. We investigate how consumer brand and technology preferences may interact with the functionalities of technology-enabled shopping (TES) devices to determine the channel structure and market competition.…Read More

Opportunities and Risks in Belief Distribution Elicitations

Researchers and practitioners have increasingly embraced the novel practice of eliciting the entire belief distributions, as it provides a more thorough understanding of stakeholders’ beliefs. My recent paper (co-authored with Professor Joe Simmons) suggests that constructing belief distributions can sometimes inadvertently exacerbate people’s overconfidence in their predictions.…Read More

Learning by Monitoring: The Impact of Monitoring on VC Re-Investment Performance

This project aims to investigate the impact of monitoring on VC reinvestment performance. Using novel data sources, I construct a proxy for monitoring and test the causal relationship between monitoring and investment outcomes. To address the endogeneity issue regarding monitoring, I use the traveling population as an instrumental variable for VC’s monitoring intensity.…Read More

Leveraging Analytics to Maximize Innovation

Academics and practitioners will log onto an intuitive user interface and type in features of their own company (e.g., its size and industry). They will immediately be greeted with an “instant meta-analysis” that summarizes decades of academic findings related to the most important predictors of creativity and innovation in organizations.…Read More

Decision-Aware Learning for Global Health Supply Chains

Tsai-Hsuan (Angel) Chung, Phd Candidate at the Wharton School; Hamsa Bastani, Operations, Information, and Decisions, The Wharton School; Osbert Bastani, Penn School of Engineering; Francis Smart, PhD Candidate at the University of Montana; Jatu Abdulai*; Patrick Bayoh*; Musa Komeh*; Vahid Rostami* Abstract: This proposal aims to develop and deploy novel…Read More

The Impact of Healthcare Price Transparency Rules

The US government recently required healthcare price transparency from hospitals and insurers in an attempt to control spiraling healthcare costs. On the one hand, price transparency and online search tools have been very effective in increasing competition for other products in the e-commerce space. On the other hand, healthcare is a complex product, often bought through insurance, which makes it unclear how much transparency will affect realized prices. Further, public disclosure of prices might allow healthcare providers to better negotiate with insurance companies, which might even lead to an increase in healthcare prices. Our project uses a large-scale nationwide dataset of healthcare insurance claims to analyze the potential benefits and impact of these regulations, and inform policymakers and the public about the values and risks of these reforms.…Read More

Resetting the Clock: Dynamic Goal Setting Using Behavior Tracking Technology

Can companies providing goal-tracking technology innovate their products to better enable consumers to keep going when they inevitably fail (i.e., skip a workout or overeat calories)? Our research aims to fill this gap by testing the effectiveness of one type of goal tracking design: dynamic goal setting. Most traditional goal tracking apps focus on static goals – goals where the consumer aims to complete the same amount of goal behavior each day (i.e., working out 30 minutes a day or walking 10,000 steps a day). However, we suggest behavior tracking apps that use AI technology to vary the amount of goal behavior the consumers engage in from day to day (i.e., work out an average of 30 minutes a day, with some days being 15, some days 45, etc.) will be more effective, a type of goal tracking we term dynamic goal setting.…Read More

Innovating Shift Work Design to Incorporate Heterogeneous Worker Preferences

Shifts are the dominant way to work in many contexts requiring 24/7 coverage, including call centers, police departments, and hospitals. While the detriments of shift work are well-documented both at the individual and organizational levels, its deployment is often unavoidable given round-the-clock staffing needs. We explore a potential organizational lever—incorporating heterogeneous preferences over shift design—to mitigate ramifications of shift work in the context of acute care bedside nurses. Using survey, administrative, and shift data, we examine whether and the extent to which individual choice over dimensions of their shifts mitigates the impact of shift work on work (dis)satisfaction and turnover of nurses.…Read More

A Swing and a Hit: Optimal Disclosure Policy for Swing Pricing in Mutual Funds

What is the optimal disclosure policy for swing pricing by open-end mutual funds? Specifically, which disclosure rule, with respect to the swing factor and – thresholds, minimizes run risk in open-end mutual funds? Does the disclosure policy rule that is optimal from a financial stability perspective also preclude the possibility of front running by fund investors? Answering this question will likely also require a model of the optimal swing factor. By addressing this critical gap in the literature, my research aims to contribute to inform policy decisions regarding the proposed SEC rule.…Read More

Private Equity and Productivity in US Healthcare

Private equity (PE) investment in US healthcare has increased dramatically in recent years. On one hand, widespread PE participation may be one avenue to stem rising costs and increase productivity, which have been elusive objects in US healthcare. Research from other sectors has shown that PE firms apply best-in-class management practices to improve productivity and firm value. On the other hand, high powered financial incentives for PE managers may create conflicts with the interests of consumers and of taxpayers, who finance about 45% of healthcare spending. This project aims to study how PE investment affects quality and productivity of healthcare delivery in the US, issues of first order importance for both policy and business. We have assembled the most comprehensive set of data resources used to study this question – confidential micro data on PE investments in healthcare firms, and national data on services, spending, and outcomes for about 30 million Medicare beneficiaries over 2000–17. We will deploy a differences-in differences research design, exploiting variation in the timing of PE acquisitions across firms over this long panel. We will examine effects on 1) growth 2) operating efficiency, and 3) quality of care delivered, over the short and long-run.…Read More

Algorithmic Pricing and Transparency in the Gig Economy

Algorithms control pricing and match customers and workers in the gig economy. However, algorithms face several critiques: they lack transparency, can be biased, and can be inefficient. We empirically analyze these issues and show that algorithms lose efficiency from two sources: competition between platforms and misaligned worker incentives. We model workers’ strategic responses to variation in pricing and estimate counterfactuals on the effects of minimum wage and transparent pricing policies.…Read More