Heads will roll! Routes to effective trust repair in the aftermath of a CEO transgression

CEO transgressions are a common storyline in today's business press. Such incidents result in the need to repair trust for both the CEO and the organisation that the CEO leads. Existing empirical research on trust repair has focused primarily on interpersonal trust, resulting in a body of knowledge that provides many insights to the errant CEO but few insights for those who aim to repair trust in the organisation. Since organisations also need to regain the trust of stakeholders after a CEO transgression, research on organisational trust repair is clearly warranted. Organisations have options for trust repair that are not available to individuals (e.g. dismissing the transgressor), these actions may be initiated by parties other than the culpable party (e.g. the Board of Directors), and the mechanisms underlying organisational versus interpersonal trust repair may differ. However, trust in CEOs and their associated organisations may also be intertwined since the CEO is the symbolic representative of the organisation. To better understand how organisations and CEOs can repair trust in the aftermath of a CEO transgression, we conduct a scenario experiment examining two tactics that are commonly used in practice: CEO dismissal, and CEO apology + penance. We also examine the proposed underlying mechanisms of perceived repentance and perceived disentitativity. Results indicate that both tactics can influence trust in the CEO as well as the organisation, and that perceived repentance and perceived disentitativity mediate the effects of Board responses on trust in the CEO but not on trust in the organisation

Repairing Trust with Individuals vs. Groups

► We investigate how trust repair might differ with groups vs. individuals. ► Repairing trust is generally more difficult with groups than individuals. ► Both individuals and groups trust less after denying low competence or apologizing for low integrity. ► But the relative difficulty of trust repair w/ groups vs. individuals also depends on interaction. ► Ensuing group assessments affect initial individual assessments but not the reverse. This study incorporates insights from research on group decision-making and trust repair to investigate the differences that arise when alleged transgressors attempt to regain the trust of groups as compared to individuals. Results indicate that repairing trust is generally more difficult with groups than individuals, and both groups and individuals were less trusting when trustees denied culpability (rather than apologized) for a competence-based violation or apologized (rather than denied culpability) for an integrity-based violation. However, the interaction of violation-type and violation-response also ultimately affected the relative difficulty of repairing trust with groups vs. individuals, with the greater harshness of groups dissipating when the transgressors’ responses were effectively matched with the type of violation. Persuasive argumentation rather than normative pressure, furthermore, mediated these differences. Thus, the sequencing of individual vs. group assessments mattered, such that subsequent group assessments affected initial individual assessments but not the reverse

Silence Speaks Volumes: The Effectiveness of Reticence in Comparison to Apology and Denial for Repairing Integrity- and Competence-Based Trust Violations

Prior research on responses to trust violations has focused primarily on the effects of apology and denial. The authors extended this research by studying another type of verbal response that is often used to respond to trust violations but has not been considered in the trust literature: reticence. An accused party may use reticence in a sincere and even legitimate attempt to persuade a trustor to withhold judgment. Yet, by considering information diagnosticity and belief formation mechanisms through which verbal responses influence trust, the authors argue that reticence is a suboptimal response because it combines the least effective elements of apology and denial. Specifically, reticence is a suboptimal response to an integrity violation because, like apology, it fails to address guilt. And reticence is a suboptimal response to a competence violation because, like denial, it fails to signal redemption. Results from 2 laboratory studies, simulating different contexts and using research participants from 2 different countries, provide support for the prediction. The results offer important implications for those who might use reticence to respond to a perceived trust violation and also for those who must judge another's reticence

Removing the Shadow of Suspicion: The Effects of Apology Versus Denial for Repairing Competence- Versus Integrity-Based Trust Violations

Two studies were conducted to examine the implications of an apology versus a denial for repairing trust after an alleged violation. Results reveal that trust was repaired more successfully when mistrusted parties (a) apologized for violations concerning matters of competence but denied culpability for violations concerning matters of integrity, and (b) had apologized for violations when there was subsequent evidence of guilt but had denied culpability for violations when there was subsequent evidence of innocence. Supplementary analyses also revealed that the interactive effects of violation type and violation response on participants' trusting intentions were mediated by their trusting beliefs. Combined, these findings provide needed insight and supporting evidence concerning how trust might be repaired in the aftermath of a violation

Discovery of the Optical Transient of the Gamma Ray Burst 990308

The optical transient of the faint Gamma Ray Burst 990308 was detected by the QUEST camera on the Venezuelan 1-m Schmidt telescope starting 3.28 hours after the burst. Our photometry gives $V = 18.32 \pm 0.07$, $R = 18.14 \pm 0.06$, $B = 18.65 \pm 0.23$, and $R = 18.22 \pm 0.05$ for times ranging from 3.28 to 3.47 hours after the burst. The colors correspond to a spectral slope of close to $f_{\nu} \propto \nu^{1/3}$. Within the standard synchrotron fireball model, this requires that the external medium be less dense than $10^{4} cm^{-3}$, the electrons contain $> 20$ of the shock energy, and the magnetic field energy must be less than 24% of the energy in the electrons for normal interstellar or circumstellar densities. We also report upper limits of $V > 12.0$ at 132 s (with LOTIS), $V > 13.4$ from 132-1029s (with LOTIS), $V > 15.3$ at 28.2 min (with Super-LOTIS), and a 8.5 GHz flux of $< 114 \mu Jy$ at 110 days (with the Very Large Array). WIYN 3.5-m and Keck 10-m telescopes reveal this location to be empty of any host galaxy to $R > 25.7$ and $K > 23.3$. The lack of a host galaxy likely implies that it is either substantially subluminous or more distant than a red shift of $\sim 1.2$.Comment: ApJ Lett submitted, 5 pages, 2 figures, no space for 12 coauthor

Federating structural models and data:Outcomes from a workshop on archiving integrative structures

Structures of biomolecular systems are increasingly computed by integrative modeling. In this approach, a structural model is constructed by combining information from multiple sources, including varied experimental methods and prior models. In 2019, a Workshop was held as a Biophysical Society Satellite Meeting to assess progress and discuss further requirements for archiving integrative structures. The primary goal of the Workshop was to build consensus for addressing the challenges involved in creating common data standards, building methods for federated data exchange, and developing mechanisms for validating integrative structures. The summary of the Workshop and the recommendations that emerged are presented here

IHMCIF: An Extension of the PDBx/mmCIF Data Standard for Integrative Structure Determination Methods

IHMCIF (github.com/ihmwg/IHMCIF) is a data information framework that supports archiving and disseminating macromolecular structures determined by integrative or hybrid modeling (IHM), and making them Findable, Accessible, Interoperable, and Reusable (FAIR). IHMCIF is an extension of the Protein Data Bank Exchange/macromolecular Crystallographic Information Framework (PDBx/mmCIF) that serves as the framework for the Protein Data Bank (PDB) to archive experimentally determined atomic structures of biological macromolecules and their complexes with one another and small molecule ligands (e.g., enzyme cofactors and drugs). IHMCIF serves as the foundational data standard for the PDB-Dev prototype system, developed for archiving and disseminating integrative structures. It utilizes a flexible data representation to describe integrative structures that span multiple spatiotemporal scales and structural states with definitions for restraints from a variety of experimental methods contributing to integrative structural biology. The IHMCIF extension was created with the benefit of considerable community input and recommendations gathered by the Worldwide Protein Data Bank (wwPDB) Task Force for Integrative or Hybrid Methods (wwpdb.org/task/hybrid). Herein, we describe the development of IHMCIF to support evolving methodologies and ongoing advancements in integrative structural biology. Ultimately, IHMCIF will facilitate the unification of PDB-Dev data and tools with the PDB archive so that integrative structures can be archived and disseminated through PDB

Modeling Insertional Mutagenesis Using Gene Length and Expression in Murine Embryonic Stem Cells

Background. High-throughput mutagenesis of the mammalian genome is a powerful means to facilitate analysis of gene function. Gene trapping in embryonic stem cells (ESCs) is the most widely used form of insertional mutagenesis in mammals. However, the rules governing its efficiency are not fully understood, and the effects of vector design on the likelihood of genetrapping events have not been tested on a genome-wide scale. Methodology/Principal Findings. In this study, we used public gene-trap data to model gene-trap likelihood. Using the association of gene length and gene expression with gene-trap likelihood, we constructed spline-based regression models that characterize which genes are susceptible and which genes are resistant to gene-trapping techniques. We report results for three classes of gene-trap vectors, showing that both length and expression are significant determinants of trap likelihood for all vectors. Using our models, we also quantitatively identifie