The dark side of meaningful work‐from‐home: A nonlinear approach

Changes in the technological environment of work already in motion over the last few years, but accelerated by the COVID-19 pandemic, place individuals' search for meaningfulness in their work under a new light. In this context, we draw on enrichment theory and the ego-depletion perspective and challenge the prevailing notion that meaningfulness is always positive and hypothesize that, under certain conditions, there can be such a thing as “too much meaningfulness.” A two-wave study of 243 full-time employees working from home during the COVID-19 pandemic in the United States offers support for a nonlinear effect of meaningfulness of work for workaholics, such that it has a positive effect on individuals up to a certain point, but a negative effect if there are excessive amounts of meaningfulness. We discuss these findings in light of the debate around the moral duty of managers and firms to offer meaningful jobs to employees and offer practical suggestions for firms

Analysis of the sentiments of the participants in a clinical study to evaluate a balance rehabilitation intervention delivered by a Virtual Coach

Multiple studies for balance rehabilitation interventions have been accomplished aiming to demonstrate that sensory interventions and cognitive functionality are crucial for postural control and improvement of the quality of patient's daily life. However, none of the existing studies is filling the lack of expert physiotherapists availability. A pilot randomized study was conducted to assess the acceptability of the HOLOBalance telerehabilitation system. HOLOBalance is an interactive AR rehabilitation system which encompasses multi-sensory training program to enhance balance and cognitive coaching, for older adults at falls risk. In this work, we present a sentiment analysis of the patients participating in this study using the VADER methodology to evaluate and quantify their attitude towards the HOLOBalance system. Our results highlight the importance of findings positive polarity towards the AR interaction, which is based on the use of a holographic virtual physiotherapist. The compound score of 0.185 indicates the valuable positive feedback gained from the user experience

The Transformation from Traditional Nonprofit Organizations to Social Enterprises: An Institutional Entrepreneurship Perspective

The development of commercial revenue streams allows traditional nonprofit organizations to increase financial certainty in response to the reduction of traditional funding sources and increased competition. In order to capture commercial revenue-generating opportunities, traditional nonprofit organizations need to deliberately transform themselves into social enterprises. Through the theoretical lens of institutional entrepreneurship, we explore the institutional work that supports this transformation by analyzing field interviews with 64 institutional entrepreneurs from UK-based social enterprises. We find that the route to incorporate commercial processes and convert traditional nonprofit organizations into social enterprises requires six distinct kinds of institutional work at three different domains; these are—“engaging commercial revenue strategies”, “creating a professionalized organizational form”, and “legitimating a socio-commercial business model”. In elaborating on social entrepreneurship research and practice, we offer a comprehensive framework delineating the key practices contributing to the transformation from traditional nonprofit organizations to social enterprises. This extends our understanding of the ex-ante strategy of incorporating commercial processes within social organizations. Furthermore, the identification of these practices also offers an important tool for scholars in this field to examine the connection (or disconnection) of each practice with different ethical concerns of social entrepreneurship in greater depth.British Academ

Cultivating inclusive remote workplaces: A serial mediation analysis of employee outcomes

The transformation of traditional workplace arrangements has introduced unique challenges for fostering inclusion and retaining organizational identification among remote workers. This study examines how inclusion climate influences employee outcomes in remote work settings-a context that has become increasingly prevalent yet remains understudied in terms of inclusion dynamics. Through a two-wave study involving a sample of 156 remote workers, we find that organizational identification mediates the relationship between perceived inclusion climate and well-being. Furthermore, we demonstrate that subjective well-being mediates the relationship between organizational identification and key employee outcomes, namely job satisfaction, organizational citizenship behaviors, and employee retaliation. Importantly, our results reveal a serial mediation effect, where organizational identification and subjective well-being sequentially mediate the relationship between perceived inclusion climate and both job satisfaction and employee retaliation. These findings contribute to our understanding of the mechanisms through which inclusion influences remote workers' well-being and behavior

Towards the development of a unified virtual population model in hypertrophic cardiomyopathy

The SILICOFCM platform is an in-silico cloud computing platform which utilizes advanced computational workflows for drug development and optimized clinical therapy in the domain of hypertrophic cardiomyopathy (HCM). The current study presents the SILICOFCM's virtual population model (VPM) which can be used to generate high-quality virtual clinical data using both multivariate and machine learning methods along with virtual geometries for in-silico clinical trials. The proposed VPM workflow includes data quality management functionalities for outlier detection and similarity detection which are used to enhance the quality of the real patient data. In addition, the virtual clinical data generator which is part of the VPM includes both multivariate methods, such as, the multivariate normal distribution and machine learning methods, such as, the tree ensembles, the artificial neural networks, and the Bayesian networks. The VPM was utilized in a use-case scenario which included 592 records of patients with HCM towards the generation of clinical data for 1000 virtual patients. Our results suggest that the VPM was able to yield virtual distributions with an increased convergence with the real distributions, where the average goodness of fit was 0.038, the Kullback-Leibler (KL) divergence was 0.029 and the absolute correlation difference 0.0443 between the real and the virtual correlation matrices along with virtual geometries that mimic the real ones

Prolonged intra-myocardial growth hormone administration ameliorates post-infarction electrophysiologic remodeling in rats.

Experimental studies indicate improved ventricular function after treatment with growth hormone (GH) post-myocardial infarction, but its effect on arrhythmogenesis is unknown. Here, we assessed the medium-term electrophysiologic remodeling after intra-myocardial GH administration in (n = 33) rats. GH was released from an alginate scaffold, injected around the ischemic myocardium after coronary ligation. Two weeks thereafter, ventricular tachyarrhythmias were induced by programmed electrical stimulation. Monophasic action potentials were recorded from the infarct border, coupled with evaluation of electrical conduction and repolarization from a multi-electrode array. The arrhythmia score was lower in GH-treated rats than in alginate-treated rats or controls. The shape and the duration of the action potential at the infarct border were preserved, and repolarization-dispersion was attenuated after GH; moreover, voltage rise was higher and activation delay was shorter. GH normalized also right ventricular parameters. Intra-myocardial GH preserved electrical conduction and repolarization-dispersion at the infarct border and decreased the incidence of induced tachyarrhythmias in rats post-ligation. The long-term antiarrhythmic potential of GH merits further study

Medium-term Electrophysiologic Effects of a Cellularized Scaffold Implanted in Rats After Myocardial Infarction

Background Cardiac repair strategies are being evaluated for myocardial infarctions, but the safety issues regarding their arrhythmogenic potential remain unresolved. By utilizing the in-vivo rat model, we have examined the medium-term electrophysiologic effects of a biomaterial scaffold that has been cellularized with spheroids of human adipose tissue, derived from mesenchymal stem cells and umbilical vein endothelial cells. Methods Mesenchymal stem cells, which exhibit adequate differentiation capacity, were co-cultured with umbilical vein endothelial cells and were seeded on an alginate based scaffold. After in-vitro characterization, the cellularized scaffold was implanted in (n=15) adult Wistar rats 15 min post ligation of the left coronary artery, with an equal number of animals serving as controls. Two weeks thereafter, monophasic action potentials were recorded and activation-mapping was performed with a multi-electrode array. An arrhythmia score for inducible ventricular tachyarrhythmias was calculated after programmed electrical stimulation. Results The arrhythmia score was comparable between the treated animals and controls. No differences were detected in the local conduction at the infarct border and in the voltage rise in monophasic action potential recordings. Treatment did not affect the duration of local repolarization, but tended to enhance its dispersion. Conclusions The fabricated bi-culture cellularized scaffold displayed favorable properties after in-vitro characterization. Medium-term electrophysiologic assessment after implantation in the infarcted rat myocardium revealed low arrhythmogenic potential, but the long-term effects on repolarization dispersion will require further investigation