Strategy

The United States recently passed major federal laws supporting the energy transition, and analyses suggest that their successful implementation could reduce US emissions more than 40% below 2005 levels by 2030. However, achieving maximal emissions reductions would require frictionless supply and demand responses to the laws’ incentives and implementation that avoids polarization and efforts to repeal or undercut them. In this Perspective, we discuss some of these supply, demand and polarization challenges.

Industry groups engage in venue shifting when they seek to overturn or alter restrictive regulations imposed by one political venue through another. A critical step in this process is resolving uncertainties surrounding the preference of the targeted venue and the nature of the relevant policy proposal. While existing studies emphasize a long-term trial-and-error process of policy learning, we focus on nascent industries and argue that ventures seek other information sources to resolve these uncertainties quickly.

Due to the Covid-19 pandemic, many employees have spent a considerable amount of time being forced to work from home (WFH). We draw on the Job Demands-Resources (JD-R) model and self-affirmation theory to study how the anticipation of returning to the physical workplace affects work engagement and burnout. We assumed that employees are conflicted about returning to work (RTW). Whereas they may look forward to RTW they also appreciate aspects of WFH which would have to be foregone.

Lori Qingyuan Yue and Jue Wang reflect on their article, “Policy Learning in Nascent Industries’ Venue Shifting: A Study of the U.S. Small Unmanned Aircraft Systems (UAS) Industry,” which was recently published in Business & Society.

It is both technically possible and economically feasible to eliminate almost all the carbon dioxide from iron and steel production by mid-century, thus cleaning up an industry that accounts for 10% of global emissions. But progress will not happen without a concerted policy push.

This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was still in beta, the case asks how Microsoft and GitHub should roll out Copilot to the public.

We propose a theory of banking in which banks cannot perfectly control deposit flows. Facing uninsurable loan and deposit shocks, banks dynamically manage lending, wholesale funding, deposits, and equity. Deposits create value by lowering funding costs. However, when the bank is undercapitalized and at risk of breaching leverage requirements, the marginal value of deposits can turn negative as deposit inflows, by raising leverage, increase the likelihood of costly equity issuance.

In the months before the 2020 U.S. election, several political campaign websites added prechecked boxes (defaults), automatically making all donations into recurring weekly contributions unless donors unchecked them. Since these changes occurred at different times for different campaigns, we use a staggered difference-in-differences design to measure the causal effects of defaults on donors’ behavior. We estimate that defaults increased campaign donations by over $43 million while increasing requested refunds by almost $3 million.

Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend startups headquartered outside their home region by 4 percentage points. Back-of-the-envelope calculations suggest this discount leads judges to pass over 1 in 20 promising startups.