Firms raise the bar after missing the target: Strategic use of overestimated earnings targets
Peer-Reviewed Publication
Updates every hour. Last Updated: 11-Sep-2025 10:11 ET (11-Sep-2025 14:11 GMT/UTC)
A new study of over 3,000 Japanese firms reveals that companies often set overly ambitious earnings targets after previously missing their goals—an effort to restore investor confidence. This strategic move, known as “organizational impression management,” helps firms manage market perceptions despite the risk of repeated failure. The research also finds that institutional investors, analysts, and board diversity can temper this behavior, offering fresh insight into corporate communication and investor relations.
In a paper published in National Science Review, the team of Pro. Liu present an innovative computational framework, the sample-perturbed Gaussian graphical model (sPGGM), designed to analyse disease progression and identify pre-disease stages at the specific sample/cell level based on optimal transport theory and Gaussian graphical models. The proposed sPGGM provides a new single-sample way to identify the pre-disease state and discover signaling molecules leading to potential disease, which showcases exceptional effectiveness and robustness for both bulk and single-cell data analyses, offering a novel perspective for personalized disease prediction.
Brain aneurysm is the leading cause of brain hemorrhages. To combat the growing cases of brain aneurysms in China, researchers are conducting a large-scale, national clinical study to evaluate the best surgical and endovascular treatments for unruptured brain aneurysms. The China Treatment Trial for Unruptured Intracranial Aneurysm (ChTUIA) has enrolled up to 25,000 patients across 83 hospitals and is all set to refine the treatment guidelines for brain aneurysms in Chinese patients.
How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien, has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input domain. It is now possible to mathematically guarantee that certain types of errors will not occur – a crucial step forward for the safe use of AI in sensitive applications.
Northwestern Medicine scientists have developed an AI tool called iSeg that not only matches doctors in accurately outlining lung tumors on CT scans but can also identify areas that some doctors may miss, reports a large new study.
A fast, precise new 3D printing advance samlessly merges soft and hard properties into a single object using different colors of light. The breakthrough technology could pave the way for next-generation prosthetics, flexible medical devices and stretchable electronics that move naturally with the body, much like a human joint or ligament.
Carnegie Mellon researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous robotic hand at the finger level.