What do we really know about time theft?
Despite being a costly and pervasive organizational issue, time theft has long been misunderstood in scholarship, and is conceptualized in different ways by academics and practitioners. To work towards clearer and consolidated understanding of time theft, Crystal Harold, Biyun Hu (PhD ’20) and their co-author develop a comprehensive definition of time theft—“the purposeful failure to […]
How are politicians influencing independent regulators?
Political pressure indirectly influences the quality of work performed by independent regulatory bodies.
How can hiring managers measure the personalities of their job applicants?
Self-reports of personality are often the easiest to access. But are they the most informative?
Unpacking the assumption that stock option compensation leads to earnings management
Hyun Jong Park provides evidence that the traditional belief of the relationship between executive risk-taking incentives and earnings management doesn’t hold true in many circumstances
Unlocking the gender of tourism destinations
Tourism marketers are now branding destinations with a gender. What does this mean for their advertising strategies?
Businesses are facing unforeseen challenges. Can captive insurance models protect them?
As the changing global environment puts new stresses on businesses, captive insurance may be the key to handling the evolving challenges of modern day .
Taking the “panic” out of pandemic
By taking into account people’s behavior during waves of infections, policymakers can strategically optimize the timing and intensity of public health interventions.
Dismantling the legacy of masculine corporate culture
A major reason that women are underrepresented in leadership positions is because of masculine bias that has been built into organizational systems.
The value of positive thinking during the pandemic
In a major international study, Crystal Reeck identifies activities that increase positive emotions and psychological resilience.
Maximizing revenue with limited supply and unknown demand
Yiwei Chen proposes a novel learning algorithm that identifies how to optimally price limited inventory products when market demand is unknown.
The Many Uses of Random Matrix Theory
Statistical analyses today rely on datasets larger than ever before. How is Random Matrix Theory used to understand the matrices in these datasets?
Using Language to Identify Underserved Groups
Amir Shoham uses gendered language marking to demonstrate that global microfinance institutions are targeting services to women in most need.
Should Your Company Consider Creating A Finance Committee?
Why do some firms benefit from finance committees while others do not?
Is IT-Business Strategic Alignment Really That Important?
Firms need to start thinking about how their IT is being managed in order to improve business performance.
A New Method to Analyze Large-Scale Data Comparisons
Zhigen Zhao has developed a new method of statistical analysis that surpasses commonly used alternatives.