Kenan Scholar Jessie LaMasse shares her experience building homes for impoverished families in Antigua, Guatemala with the organization From Houses to Homes.
The Kenan Scholars program gathered virtually on Thursday, May 7 to honor its graduating seniors during the Senior Sendoff. This event provided the Kenan Scholars Class of 2020 the opportunity to reflect on their experiences, acknowledge fellow scholars and Kenan Institute staff who have made a positive impact, and be congratulated by students, faculty and staff for their achievements.
On June 11th, Kenan Scholars hosted the first #YourVoiceMatters zoom conversation to reflect on and learn about recent acts of anti-Black violence.
The Kenan Institute’s deep dive into stakeholder capitalism has exposed shortcomings in a key building block: ESG measurement. Our experts have explored the issue at length, proposing ways of refining these measures to produce structures that could meet the needs of multiple stakeholders while also working to design reporting free from political influence and agendas. As a next step, the Kenan Institute hosted a conversation featuring a business leader, investor and standard setter to discuss how we might turn these ideas into solutions to help integrate stakeholder capitalism principals into business and investment decisions.
In this special issue, we review 14 articles published in Organization Science over the past 25 years examining large-scale collaborations (LSCs) tasked with knowledge dissemination and innovation. LSCs involve sizeable pools of participants carrying out a common mission such as developing open-source software, detector technologies, complex architecture, encyclopedias, medical cures, or responses to climate change.
UNC Kenan-Flagler Assistant Professor Tim Kundro fields questions concerning how managers and firms can best foster a healthy working environment.
Companies face increasing pressure from different stakeholders to address various environmental, social and governance (ESG) issues. In their efforts to engage with these issues, they might pursue symbolic or substantive actions, either pre-emptively (proactive actions) or in response to specific targeted threats (reactive actions). Yet we know relatively little about how different stakeholders react to this repertoire of corporate actions and importantly, whether they are aligned in their reaction. We ask this question in the context of gender inequality, an issue that has become salient due to heightened societal attention thanks to the #MeToo movement.
When a business model innovation (BMI) appears, incumbent firms experience great uncertainty about its potential ramifications and their capacity to assimilate the new business model. To resolve such uncertainty, incumbents seek to learn from industry peers, which can spark organizational herding. Organizational herding in BMI contexts is distinct, relative to product/technology adoption contexts, because in addition to peer behaviors, incumbents actively attempt to evaluate peer outcomes, and the importance of peer behaviors and outcomes likely vary, both over time and across types of peers.
Unethical behavior deeply embedded within an organization can affect employee morale and impact bigger issues, such as performance, turnover, and healthcare and legal costs.
Leigh, a Kenan Institute Distinguished Fellow, will discuss the influence that societal events which occur outside of organizations have on employees when they enter the workplace and on individuals in society more broadly.
Interested in a recap of the Frontiers of Business Conference: Workforce Disrupted? Read the key takeaways and powerful insights from the conference's speakers and panelists on the 2023 grand challenge theme.
Are you a forward-thinking student at UNC? Join the Kenan Institute of Private Enterprise Ambassador Interest Meeting on September 19 at 5 PM to learn more about how you can represent the Institute and serve as hosts for visitors.
As deep learning and big data increasingly shape modern artificial intelligence (AI) tools, it is essential to consider the broader impact of integrating AI into workplaces. While AI applications can optimize processes and improve productivity, their long-term effects on workers’ learning curves and overall performance are still underexplored. This paper investigates the intricate relationship between AI-enabled technology and workers’ learning dynamics through a large-scale randomized field experiment conducted on the Instacart platform.
This study explores how firms learn heuristics from negative outcomes. Prior literature has suggested that learning is strongly affected by whether attributions for negative outcomes are internal or external. Our data complement this view by revealing a new and different pattern. Specifically, they show that learning heuristics appears more dependent on whether attributions are convergent or divergent across hierarchical levels.
A replication study assesses whether the results of a particular prior study can be reproduced, including in new contexts with different data. Replication studies are critical for building a cumulative body of research knowledge.
The study of congruence is central to organizational research. Congruence refers to the fit, match, similarity, or agreement between two constructs and is typically framed as a predictor of outcomes relevant to individuals and organizations. Previous studies often operationalized congruence as the algebraic, absolute, or squared difference between two component variables.
In organizational psychology research, most theories put forth directional predictions, such as stating that an increase in one construct will result in an increase or decrease in another construct. Such predictions are imprecise, given that they can be confirmed by a wide range of values, and theories that rely on such predictions bear little risk of falsification.
Negotiation role-playing simulations are among the most effective and widely used methods for teaching and conducting research on negotiations. Teachers and researchers can either license a published, “off-the-shelf” simulation or write their own custom “bespoke” simulation.
Suppose one uses a parametric density function based on the first four (conditional) moments to model risk. There are quite a few densities to choose from and depending on which is selected, one implicitly assumes very different tail behavior and very different feasible skewness/kurtosis combinations.
When modeling economic relationships it is increasingly common to encounter data sampled at different frequencies. We introduce the R package midasr which enables estimating regression models with variables sampled at different frequencies within a MIDAS regression framework put forward in work by Ghysels, Santa-Clara, and Valkanov (2002).