Strategies for Innovating

Latest Research

Consumer Behavior and Cryptocurrency Confidence

Funded Research Proposal

In our endeavor to grasp the driving forces behind cryptocurrency prices, we have developed the Consumer Cryptocurrency Confidence Index (c3i), derived from a set of questions asked monthly to consumers across the United States. Our analysis has uncovered several initial results and pointed to an extensive, exciting research program on consumer behavior that shapes the ...Read More

E-Governance and Digital Infrastructure in India

Funded Research Proposal

Philip Nichols, Legal Studies & Business Ethics, The Wharton School Abstract: An in depth, qualitative and descriptive examination of India’s digital infrastructure and the e-governance functions it enables. The research should produce (1) a descriptive white paper, with an intended audience of (a) policymakers in other emerging economies, (b) scholars and business people seeking a thorough ...Read More

Can Artificial Intelligence Mitigate Inventor Productivity Decline after Co-Inventor Premature Death?

Funded Research Proposal

Although it is well documented that disruptive events, such as an inventor’s premature death, cause a large and persistent decline in their co-inventor’s innovation performance, strategies to mitigate these negative effects remain unexplored. This project aims to understand how an inventor’s skill and proficiency in artificial intelligence (AI) could counteract the productivity decline resulting from ...Read More

Strategic bootstrapping and startup experimentation

Funded Research Proposal

New ventures are grappling with the rising costs of capital (both debt and equity). As a result, investors of high-growth, technology-based startups are shifting focus to companies that can generate immediate cash. That is, investors are prioritizing cash flow positivity over growth. A recent report has documented that high-growth, technology-driven startups that are bootstrapped outperformed ...Read More

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

Funded Research Proposal

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 ...Read More

Hiring Dilemmas: Assembling Human Capital in High-Growth Startups

Funded Research Proposal

How do high-growth, knowledge-based startups acquire human capital against the backdrop of the challenges and dilemmas that come with rapid organizational expansion? Human capital is a critical resource for these startups, allowing for increased production, knowledge, and resources. However, the dynamic nature of high-growth periods also poses significant challenges. Against the backdrop of a growing ...Read More

Enabling Personalized Learning in Large Language Models via Reinforcement Learning

Funded Research Proposal

This project combines GPT-4 and reinforcement learning to develop a personalized learning platform for an introductory Python programming class. In collaboration with the National Taiwan University, this project will deploy and conduct a randomized control trial (RCT) to understand how to effectively use generative AI to improve student’s learning outcomes and skill development Read More

Vertical Integration in the Video Streaming Market

Funded Research Proposal

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 ...Read More

Artificial Intelligence, innovation, and product market dynamics

Funded Research Proposal

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

Commercialization and Scaling Strategies of Deeptech Ventures

Funded Research Proposal

This study explores the commercialization and growth strategies of deeptech startups. Deeptech or Hardtech start-ups are a unique set of ventures whose offerings are grounded in breakthrough science and/or engineering innovation (MIT report, 2023). They typically span sectors such as the life sciences, clean technology, advanced materials, robotics, chemicals and quantum computing. Read More

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