The coronavirus disease 2019 has taken the world by surprise and has impacted the lives of many, including the business sector and its stakeholders. Although studies investigating the impact of COVID-19 on the organizational structure, job design, and employee well-being have been on the rise, fewer studies examined the role of leadership and what it takes to be an effective leader during such times. This study integrates social cognitive theory and conservation of resources theory to argue for the importance of (...) adaptive personality in the emergence of effective leaders during crisis times, utilizing the crisis of COVID-19 as the context for the study. We argue that managers with an adaptive personality tend to have increased self-efficacy levels to lead during a crisis, resulting in increased motivation to lead during the COVID-19 crisis. Furthermore, managers with increased motivation to lead during the COVID-19 crisis are argued to have enhanced adaptive performance, thereby suggesting a serial mediation model where crisis leader self-efficacy and motivation to lead during the COVID-19 crisis act as explanatory mechanisms of the relationship between the adaptive personality and performance of the manager. In order to test our hypotheses, we collected data from 116 full-time managers in Saudi Arabia during the COVID-19 crisis and used hierarchical linear regression as the method of analysis. The findings support all of the hypotheses. A discussion of the results, contributions, limitations, and future directions is included. (shrink)

Interest in leadership research is growing, however, the rate of leadership learning is slowing down due to the proliferation of new leadership constructs. The objective of the present meta-analysis is to address the significant shortcomings in prior meta-analytic research on newer genre leadership forms by utilizing a substantially greater number of studies and observations than in previous meta-analyses and examining the meta-analytic correlations among the newer genre leadership forms. The results of the present study indicate that the newer genre leadership (...) forms overlap to a greater degree than previously reported, while at the same time accounting for some degree of unique variance in the literature's most studied outcome variables; estimates of the relative contribution of each leadership form to the outcomes are provided, providing new insights into the distinctiveness of each leadership form. The findings suggest that pursuing an integrated theory and measure of newer genre leadership forms is a desirable future step for leadership research. (shrink)

Bei vorliegender Arbeit geht es um die Erorterung der phanomenologischen Neuorientierung von Bernhard Waldenfels. Der Verfasser versucht aufzuzeigen, dass Bernhard Waldenfels dem Weg der Phanomenologie sehr beharrlich folgt. Seine Phanomenologie spricht uber die Mannigfaltigkeit der Vernunft, uber ihre Verwurzelung in der Sphare der Empfindlichkeit und der lebendigen Leiblichkeit, die sich gerade vermoge dieser Bedeutungsmannigfaltigkeit verbreitet und vertieft. Waldenfels entwirft die Phanomenologie als die "Phanomenologie des Anderen und Fremden", aber jenseits der Subjektivitatsmetaphysik.

High quality monitoring of mental health and well-being over an extended period is essential to understand how communities respond to the COVID-19 pandemic and how to best tailor interventions. Multiple community threats may also have cumulative impact on mental health, so examination across several contexts is important. The objective of this study is to report on changes in mental health and well-being in response to the Australian bushfires and COVID-19 pandemic. This study utilized an Experience-Sampling-Method, using the smartphone-based mood monitoring (...) application, MoodPrism. Participants were prompted once a day to complete a brief survey inquiring about symptoms of depression and anxiety, and several well-being indices, including arousal, emotional valence, self-esteem, motivation, social connectedness, meaning and purpose, and control. Participants were N = 755 Australians who downloaded and used MoodPrism, between 2018 and 2020. Results showed that anxiety symptoms significantly increased during the COVID-19 pandemic, but not during the bushfires. This may be explained by concurrent feelings of social connectedness maintained during the bushfires but not during the pandemic. In contrast, depressive symptoms increased significantly during the bushfires, which maintained during the pandemic. Most indices of well-being decreased significantly during the bushfires, and further again during the pandemic. Study findings highlight the unique responses to the bushfire and COVID-19 crises, revealing specific areas of resilience and vulnerability. Such information can help inform the development of public health interventions or individual clinical treatment, to improve treatment approaches and preparedness for potential future community disasters. (shrink)

The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive regression (...) spline, extreme learning machines, and random forests. The dataset was divided into three scenarios 70%-30%, 80%-20%, and 90%-10% for training/testing to explore the impact of data division percentage on the capacity of the developed AI model. Extreme gradient boosting was integrated with the developed AI models to select the influencing variables on the CS prediction. Several statistical measures and graphical methods were generated to evaluate the efficiency of the presented models. In this regard, the results confirmed that the DLNN model attained the highest value of prediction performance with minimal root mean squared error. The study revealed that the highest prediction performance could be attained by increasing the number of variables in the prediction problem and using 90%-10% data division. The results demonstrated the robustness of the DLNN model over the other AI models in handling the complex behaviour of concrete. Due to the high accuracy of the DLNN model, the developed method can be used as a practical approach for future use of CS prediction of EF concrete. (shrink)

ABSTRCTIn recent times, Information and Communication Technology (ICT) hasbeen developed and widely spread around world. ICT is used in various sectorsand considered a basis in the emergence of some important technologies such asvirtual reality technology. Virtual Reality (VR) is a special technology as anadvanced technology connected to several fields, e.g. training, learning, science,engineering, medicine, military, etc. VR has great potentials which enabled toperform several phenomena and experiments. Hence, several scenarios havebecome available. The purpose of this study is to shed light (...) on virtual realitytechnology and list a glimpse of common publications and studies involved. (shrink)

Taking into consideration the accepted evaluation and the meaning of the concepts of humanum and existence, in this paper we compare Abdulah Šarčević’s philosophy of humanity and Jean-Paul Sartre’s existentialism as humanism, and point out both the philosophical value paradigm of given reflections and the separate ethical-epistemic specificity, as well as the affinities between these humanistic intellectual worldviews, realised within the problem of anthropo-metaphysical and ethical-moral perceptions of Abdulah Šarčević’s conception of humanism in relation to Jean-Paul Sartre’s existentialistically (...) seen humanism. (shrink)