158 research outputs found
Can Charisma Be Taught? Tests of Two Interventions
We tested whether we could teach individuals to behave more charismatically, andwhether changes in charisma affected leader outcomes. In Study 1, a mixed-design fieldexperiment, we randomly assigned 34 middle-level managers to a control or anexperimental group. Three months later, we reassessed the managers using theircoworker ratings (Time 1 raters = 343; Time 2 raters = 321). In Study 2, a within-subjectslaboratory experiment, we videotaped 41 MBA participants giving a speech. We thentaught them how to behave more charismatically, and they redelivered the speech6 weeks later. Independent assessors (n = 135) rated the speeches. Results from thestudies indicated that the training had significant effects on ratings of leader charisma(mean D = .62) and that charisma had significant effects on ratings of leaderprototypicality and emergence...............................................................................................................................
Teaching Implicit Leadership Theories to develop leaders and leadership – How and why it can make a difference
Implicit leadership theories (ILTs) are lay images of leadership, which are individually and socially determined. We discuss how teaching ILTs contributes to developing leaders and leaderships by raising self- and social awareness for the contexts in which leadership takes place. We present and discuss a drawing exercise to illustrate different ILTs and discuss the implications for leaders and leadership, with a particular focus on how leaders claim, and are granted, leader identities in groups
Corrigendum: Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model
Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model
IntroductionPost-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD).MethodsIn this multicenter, retrospective study, we included consecutive patients that had been evaluated 3 months following severe acute respiratory syndrome coronavirus 2 infection between 01/02/2021 and 12/5/2022. High-resolution computed tomography was evaluated through Imbio Lung Texture Analysis 2.1.ResultsTwo hundred thirty-two (n = 232) patients were analyzed. FVC% predicted was ≥80, between 60 and 79 and <60 in 74.2% (n = 172), 21.1% (n = 49), and 4.7% (n = 11) of the cohort, respectively. DLCO% predicted was ≥80, between 60 and 79 and <60 in 69.4% (n = 161), 15.5% (n = 36), and 15.1% (n = 35), respectively. Extent of ground glass opacities was ≥30% in 4.3% of patients (n = 10), between 5 and 29% in 48.7% of patients (n = 113) and <5% in 47.0% of patients (n = 109). The extent of reticulation was ≥30%, 5–29% and <5% in 1.3% (n = 3), 24.1% (n = 56), and 74.6% (n = 173) of the cohort, respectively. Patients (n = 13, 5.6%) with fibrotic lung disease and persistent functional impairment at the 6-month follow-up received antifibrotics and presented with an absolute change of +10.3 (p = 0.01) and +14.6 (p = 0.01) in FVC% predicted at 3 and 6 months after the initiation of antifibrotic.ConclusionPost-COVID-19-ILD represents an emerging entity. A substantial minority of patients presents with fibrotic lung disease and might experience benefit from antifibrotic initiation at the time point that fibrotic-like changes are “immature.” Machine learning radiographic models could be of major significance for accurate radiographic evaluation and subsequently for the guidance of therapeutic approaches
Automated office blood pressure measurements in primary care are misleading in more than one third of treated hypertensives: The VALENTINE-Greece Home Blood Pressure Monitoring study
Abstract Background This study assessed the diagnostic reliability of automated office blood pressure (OBP) measurements in treated hypertensive patients in primary care by evaluating the prevalence of white coat hypertension (WCH) and masked uncontrolled hypertension (MUCH) phenomena. Methods Primary care physicians, nationwide in Greece, assessed consecutive hypertensive patients on stable treatment using OBP (1 visit, triplicate measurements) and home blood pressure (HBP) measurements (7 days, duplicate morning and evening measurements). All measurements were performed using validated automated devices with bluetooth capacity (Omron M7 Intelli-IT). Uncontrolled OBP was defined as ≥140/90 mmHg, and uncontrolled HBP was defined as ≥135/85 mmHg. Results A total of 790 patients recruited by 135 doctors were analyzed (age: 64.5 ± 14.4 years, diabetics: 21.4%, smokers: 20.6%, and average number of antihypertensive drugs: 1.6 ± 0.8). OBP (137.5 ± 9.4/84.3 ± 7.7 mmHg, systolic/diastolic) was higher than HBP (130.6 ± 11.2/79.9 ± 8 mmHg; difference 6.9 ± 11.6/4.4 ± 7.6 mmHg, p Conclusions In primary care, automated OBP measurements are misleading in approximately 40% of treated hypertensive patients. HBP monitoring is mandatory to avoid overtreatment of subjects with WCH phenomenon and prevent undertreatment and subsequent excess cardiovascular disease in MUCH
Mining Big Data for Tourist Hot Spots: Geographical Patterns of Online Footprints
Understanding the complex, and often unequal, spatiality of tourist
demand in urban contexts requires other methodologies, among which the information base available online and in social networks has gained prominence. Innovation
supported by Information and Communication Technologies in terms of data access
and data exchange has emerged as a complementary supporting tool for the more traditional data collection techniques currently in use, particularly, in urban destinations
where there is the need to more (near)real-time monitoring. The capacity to collect
and analise massive amounts of data on individual and group behaviour is leading to
new data-rich research approaches. This chapter addresses the potential for discovering geographical insights regarding tourists’ spatial patterns within a destination,
based on the analysis of geotagged data available from two social networks.
·info:eu-repo/semantics/publishedVersio
Psychopathic leadership a case study of a corporate psychopath CEO
This longitudinal case study reports on a charity in the UK which gained a new CEO who was reported by two middle managers who worked in the charity, to embody (respectively) all or most of the ten characteristics within a measure of corporate psychopathy. The leadership of this CEO with a high corporate psychopathy score was reported to be so poor that the organisation was described as being one without leadership and as a lost organisation with no direction. This paper outlines the resultant characteristics of the ensuing aimlessness and lack of drive of the organisation involved. Comparisons are made to a previous CEO in the same organisation, who was reportedly an authentic, effective and transformational leader. Outcomes under the CEO with a high corporate psychopathy score were related to bullying, staff withdrawal and turnover as effective employees stayed away from and/or left the organisation. Outcomes also included a marked organisational decline in terms of revenue, employee commitment, creativity and organisational innovativeness. The paper makes a contribution to both leadership and to corporate psychopathy research as it appears to be the first reported study of a CEO with a high corporate psychopathy score
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