Talent Market Competition and Technology Spillovers

Funded Research Proposal

This research project aims to understand how innovation propagates through the reallocation of talents, and how this innovation diffusion process is shaped by the competition structure of talent labor markets. Specifically, we exploit various heterogenous shocks to firms, including credit supply shocks, financial constraints shocks, innovation shocks, to examine how firms react in their hiring and firing decisions under different competition structures of talent labor markets.Read More

Social Media and Startup Innovation: A Human Capital Perspective

Funded Research Proposal

In this study we plan to fill this research gap by examining whether social media can help startups to access broader knowledge and subsequently facilitate innovation. Our goal is twofold in this research. First, we explore the effect of social media adoption on startup’s knowledge diversity. Second, we analyze whether startups can successfully transfer the diversified knowledge into innovations.Read More

How Do Restrictions on High-Skilled Immigration Affect Offshoring? Evidence from the H-1B Program

Skilled immigration restrictions may have secondary consequences that have been largely overlooked in the immigration debate: multinational firms faced with visa constraints have an offshoring option, namely, hiring the labor they need at their foreign affiliates.Read More

Algorithmic Literacy in the Labor Market

Working Papers

Using data on employer job search, this study demonstrates that employers are seeking algorithmic literacy from workers in a particularly broad class of occupations because familiarity with algorithms in downstream “using” occupations is important for integrating AI and data science into production. Read More

Entrepreneur’s Knowledge, Firm Survival, and the Normalized Burn Rate

Working Papers

We study the association of spending per employee with startup firm survival. Our theory model posits that entrepreneur’s knowledge defines the complex decision process of combining human and non-human inputs to increase firm value. Read More

Data Analytics Supports Decentralized Innovation

Published Research

Data-analytics technology can accelerate the innovation process by enabling existing knowledge to be identified, accessed, combined, and deployed to address new problem domains.Read More

The Employment Consequences of Robots: Firm-Level Evidence

Working Papers

As a new general-purpose technology, robots have the potential to radically transform industries and affect employment. Preliminary empirical studies using industry and geographic region-level data have shown that robots differ from prior general-purpose technologies and predict substantial negative effects on employment.Read More

Bias-aware AI for Human Capital Management: An Innovative Approach for Algorithmic Job Screening

Funded Research Proposal

A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. Read More

Strategy, Human Capital Investments, Business-Domain Capabilities, and Performance: A Study in the Global Software Services Industry

Published Research

In knowledge-based industries, continuous human-capital investments are essential for firms to enhance capabilities and sustain competitive advantage. However, such investments present a dilemma for firms, because human resources are mobile.Read More

Can Employee Training Lead to Higher Profits?

Does intensive internal training of employees lead to higher profits? In knowledge-based industries where the main asset is skilled professionals such as software engineers, the answer is yes, according to Senior Fellow Joydeep Chatterjee. But not all training yields equal benefits.Read More