Objective: The aim of the current study was to investigate the alterations in the neural networks of patients with temporal lobe epilepsy during working memory encoding.Methods: Patients with TLE and healthy volunteers completed a WM task, during which 34-channel electroencephalogram signals were recorded. The neural networks during WM encoding were calculated in TLE patients with and without WM deficits.Results: Functional connectivity strength decreased, and the theta network was altered in the TLE-WM group, although no significant differences in clinical features were (...) observed between the TLE-N and TLE-WM groups.Conclusions: Not all patients with TLE present with cognitive impairments and alterations in the theta network were identified in TLE patients with functional cognitive deficits.Significance: The theta network may represent a sensitive measure of cognitive impairment and could predict cognitive outcomes among patients with TLE. (shrink)

This content is divided into four parts: Ⅰ. Hermeneutics understand the primacy of process Ⅱ. He Mies and the hermeneutics of meaning nervous Ⅲ. For Paul • Lui Siegel of the interpretation, such as "today thinking of cross junctions. "interpretation of two types: exposed shield and suspicion Ⅳ. Gadamer hermeneutics today, some aspects related There are four main parts in the text: Ⅰ. On the Primacy of the Understanding Process in Hermeneutics. Ⅱ. The God Hermes and the Meaning of Hermeneutics (...) Ⅲ. Paul Ricoeur on interpretation as "the crossroads of thinking today". Two kinds of hermeneutics : Disclosure and Suspicion. Ⅳ. Some Dimensions of the Relevance of Gadamer's hermeneutics today. (shrink)

Our understanding of neuronal migration has been advanced by multidisciplinary approaches. At the cellular level, tangential and radial modes of neuronal migration contribute to different populations of neurons and have differential dependence on glial cells. At the molecular level, extracellular guidance cues have been identified and intracellular signal transduction pathways are beginning to be revealed. Interestingly, mechanisms guiding axon projection and neuronal migration appear to be conserved with those for chemotactic leukocytes. BioEssays 24:821–827, 2002. © 2002 Wiley Periodicals, Inc.

This study examines whether penalties issued to Chinese listed companies by securities regulators for violations of corporate law affect the cost of debt, and the moderating role of corporate social responsibility fulfillment on this relationship. Our sample consists of firms listed on Shanghai and Shenzhen stock exchanges from 2011 to 2017 and the data are collected from the announcements of China Securities Regulatory Commission. The findings are as follows: punishment announcements by regulatory authorities increase the cost of debt; and the (...) effect of punishment announcements on the cost of debt is partially offset by prior CSR performance. These findings are shown to be robust. The reputation insurance effect of CSR is more pronounced in state-owned enterprises and in an institutional environment with low marketization, a weak legal environment, and low information transparency. The findings support the reputation insurance hypothesis of CSR and employ the cost of debt as a governance mechanism. (shrink)

This study examines whether community social capital in US counties, as captured by strength of civic norms and density of social networks in the counties, affects corporate social responsibility of resident corporations headquartered in the counties. Analyses of longitudinal data from 3688 unique US firms between 1997 and 2009 provide strong empirical support for the propositions that community social capital facilitates positive CSR activities that benefit non-shareholder stakeholders and constrains negative CSR activities that are detrimental to non-shareholder stakeholders. Additionally, we (...) explore the effects of institutional logics arising from community isomorphism on positive and negative CSR activities, respectively. And, we explore the respective effects of corporate engagement in positive and negative CSR activities on corporate financial performance. Firms undertake more positive CSR activities when such activities are more prevalent among other local corporations headquartered in the same county. But, there is no systematic relationship between negative CSR activities and the community-level corporate engagement in negative CSR activities. Positive CSR activities enhance a firm’s future financial performance, and the positive effect is more prominent among firms headquartered in counties with high community social capital. However, negative CSR activities only reduce a firm’s future financial performance among firms headquartered in counties with high community social capital; negative CSR activities do not affect performance among firms headquartered in counties with lower levels of community social capital. Collectively, these results highlight the distinct effects of local social institutions, namely community social capital, on positive CSR activities and negative CSR activities, respectively. (shrink)

ABSTRACT:Regulatory focus theory is proposed as offering an explanation for the influence of ethical leadership on organizational citizenship behaviors and employee commitments. The prevention focus mindset of an employee is argued to be the mechanism by which an ethical leader influences extra-role compliance behavior as well as normative commitment, whereas the promotion focus mindset of an employee is argued to be the mechanism by which an ethical leader influences extra-role voice behavior as well as affective commitment. Moreover, leader-member exchange is (...) proposed as a moderator of the relationship of ethical leadership to regulatory focus mindsets and employee behavior and commitments. Using the data collected in two waves from 250 working adults, we tested the proposed relationships with moderated mediation bootstrap procedures. The findings generally support the hypothesized relationships and point toward important implications for ethical leadership in work settings. (shrink)

Drawing on the analytic of the “colonial matrix of power” developed by Aníbal Quijano within the Latin American modernity/coloniality research program, this article theorises how a system of coloniality underpins the structuring logic of artificial intelligence (AI) systems. We develop a framework for critiquing the regimes of global labour exploitation and knowledge extraction that are rendered invisible through discourses of the purported universality and objectivity of AI. ​​Through bringing the political economy literature on AI production into conversation with scholarly work (...) on decolonial AI and the modernity/coloniality research program, we advance three main arguments. First, the global economic and political power imbalances in AI production are inextricably linked to the continuities of historical colonialism, constituting the colonial supply chain of AI. Second, this is produced through an international division of digital labour that extracts value from majority world labour for the benefit of Western technology companies. Third, this perpetuates hegemonic knowledge production through Western values and knowledge that marginalises non-Western alternatives within AI’s production and limits the possibilities for decolonising AI. By locating the production of AI systems within the colonial matrix of power, we contribute to critical and decolonial literature on the legacies of colonialism in AI and the hierarchies of power and extraction that shape the development of AI today. (shrink)

Work procrastination is a retreat behavior associated with negative cognitive experience and it results in great losses to individual as well as organizational development. Understanding the antecedents of employees’ work procrastination behavior contributes to lower frequency of its occurrence. This research builds a dual-moderated mediation model from the perspective of cognitive appraisal theory and explored work procrastination behavior of employees subjected to abusive supervision. With 378 valid returned questionnaires, data collected from 32 companies in Beijing, Shanghai, Tianjin, and Chongqing supports (...) our hypotheses. This result has enriched the understanding of work procrastination behavior and provided practical implications to avoide its negative effects. (shrink)

Green innovation plays a critical role in mitigating environmental issues and balancing the interaction between economic growth and the natural environment. Drawing on social network and resource-dependence theory, this article scrutinises the relationship between independent director interlocks and corporate green innovation. Using the data from listed Chinese companies from 2010 to 2022, this study finds that independent director interlocks can significantly promote corporate green processes and product innovation. This research further finds that internal corporate contexts can also influence the relationship (...) between independent director interlocks and green innovation. Moreover, the results indicate that corporate environmental commitment positively moderates the relationships between independent director interlocks and corporate green innovation. This study also provides significant implications for firms seeking green innovation performance and for policymakers seeking ways to fulfill the mission of carbon dioxide abatement. (shrink)

Say that a d.c.e. degree d is isolated by a c.e. degree b, if bMathematics Subject Classification (2000): 03D25, 03D30, 03D35 RID=""ID="" Key words or phrases: Computably enumerable (...) set – d.c.e. degree – Isolation – High/low hierarchy RID=""ID="" Ishmukhametov's research is supported by RFBR grant 01-01-00733, and Wu's research is supported by the Marsden Fund of New Zealand. Wu would like to thank his supervisor, Prof. Rod Downey, for his many helpful suggestions and comments. (shrink)

IPCC SPECIAL REPORT ON CLIMATE CHANGE AND LAND (SRCCL) -/- Chapter 3: Climate Change and Land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems.

The green development level reflected in the green finance index and the evaluation of the degree of green development in smart cities have important practical effects on economic transformation. For promoting the transformation and upgrading of finance, we select 2013–2019 data and construct a distributed lag model to analyse the important role played by green finance and financial technology in the construction of smart cities. In the paper, we find green finance promotes the construction of smart cities, and only it (...) will not appear until nine months late. Financial technology has an opposite impact on the construction of smart cities, this is mainly because the research and marketization of financial technology are higher, and the cost is also higher. This influence will appear in the next 14 months. (shrink)

The COVID-19 pandemic has forced higher education institutions to shift their teaching activities from traditional face-to-face to online learning. This brings a great challenge to the creativity training of vocational college students, who not only learn theoretical knowledge but also cultivate technical skills. Therefore, it is very important to explore the influencing factors of online learning on students’ creativity during the epidemic. By relying on the related literature review, an extensive model is developed by integrating the expectation confirmation model, technology (...) task fit model, and the technology acceptance model to illustrate key factors that influence creativity. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 229 students from different vocational colleges in China. In addition, to extend the analysis results, this paper performs a comparative analysis based on gender. The findings demonstrate that perceived ease of use and perceived usefulness significantly influence knowledge sharing; knowledge sharing significantly affects creativity. However, there is no substantial relationship between perceived usefulness and attitude, and no relationship between attitude and knowledge sharing. Moreover, a multi-group comparison shows that there is a significant gender difference between perceived ease of use and attitude. Based on the findings, theoretical and practical implications are discussed. (shrink)

Heideggerian philosophy is frequently chosen as a philosophical framing, and/or a hermeneutic analytical structure in qualitative nursing research. As Heideggerian philosophy is dense, there is merit in the development of scholarly resources that help to explain discrete Heideggerian concepts and to uncover their relevance to contemporary human experience. This paper uses a meta-synthesis methodology to pool and synthesise findings from 29 phenomenological research reports on Being-with in the nurse–patient relationship. We firstly considered and secured the most relevant Heideggerian elements to (...) nurse–patient Being-with. Under these deductive codes, we then inductively developed sub-themes that seemed to explain the multifaceted nature of Being-with, through a secondary analysis and synthesis of published data from 417 patient, carer and nurse participants. Dasein-with was enhanced when nurses had first-hand experience with a phenomenon. Nurses moved between the inauthentic they-mode, and the authentic self-mode. Through circumspection, technology and people were encountered environmentally feeding into nursing attention, assessment and communication. Nursing as a social arrangement was expressed through either leaping-in care or leaping-ahead care. There was a place for both inauthentic and authentic discourse that nurses wove through the ontic everydayness of nursing tasks. (shrink)

Episodic memory, with its emphasis on temporal–spatial contexts, has been a longstanding focus in memory research. While previous studies have investigated the role of emotion in temporal source memory using emotionally charged stimuli, such as emotional words or images, the influence of a separated emotional context remains less explored. This study sought to understand the impact of separate emotional contexts on temporal source memory. Participants were shown Chinese characters alongside separate emotional contexts (i.e. a neutral or negative picture) and then (...) engaged in either a retrieval practice or a control condition. Finally, they were tested for recognition, temporal source memory, and emotional source memory for all the learned characters. Results revealed that a negative emotional context, unlike a neutral setting, enhanced the accuracy of temporal memory for adjacent neutral characters. However, this negative context reduced the accuracy of recalling the associated emotion. Importantly, the boost in temporal memory due to the emotional context remained even when participants were unsure or mistaken about the associated emotion. This study demonstrates the complex interplay between emotion and temporal memory, underscoring the enhancement effect of separated emotional contexts on temporal recall, irrespective of explicit emotional memory retrieval. (shrink)

This study adds to the theory of family business management by exploring the effects of family ownership on the corporate misconduct of small firms in the United States. The empirical findings indicate that small family-owned firms are less likely to commit misconduct than small non-family-owned firms. We interpret this finding as family firms aiming to achieve the trans-generational succession of moral capital. Further investigation shows a nonlinear family-ownership–misconduct relationship. A negative relationship between them only appears in mature firms. We further (...) show that for relatively mature firms, only family firms with older owners are less likely to commit corporate misconduct. (shrink)

The pathogen-prevalence hypothesis postulates that collectivism would be strengthened in the long term in tandem with recurrent attacks of infectious diseases. However, it is unclear whether a one-time pathogen epidemic would elevate collectivism. The outbreak of COVID-19 and the widespread prevalence of online social networks have provided researchers an opportunity to explore this issue. This study sampled and analyzed the posts of 126,165 active users on Weibo, a leading Chinese online social network. It used independent-sample t-tests to examine whether COVID-19 (...) had an impact on Chinese collectivistic value-related behaviors by comparing the usage frequency of personal pronouns, group-related words, and relationship-related words before and after the outbreak. Overall, most collectivist words exhibited a significant upward trend after the outbreak. In turn, this tendency pointed to a rising sense of collectivism. Hence, this study confirmed the pathogen-prevalence hypothesis in real settings, finding that an outbreak of an infectious disease such as COVID-19 could exert an impact on collectivism and may deliver a theoretical basis for psychological protection against the threat of COVID-19. However, further evaluation is required to ascertain whether this trend is universal or culture-specific. (shrink)

This study examines the relationship between family control and young entrepreneurial firm’s bribing behavior around the globe. Relying on over 2,000 young firms from the World Bank Environment Survey, we find that family control helps to reduce a firm’s bribery behavior, but further investigation shows that this effect only exists in countries with weaker macro-governance environment. In countries with more established and transparent governance mechanism, family control does not seem to make any difference. We interpret our findings as the business (...) family’s preservation of socioemotional wealth. (shrink)

In this study, we aimed to address three comments proposed by Ogihara on a recent study where we found that unique names in China have become increasingly popular from 1950 to 2009. Using a large representative sample of Chinese names, we replicated the increase in uniqueness of Chinese names from 1920 to 2005, especially since the 1970s, with multiple uniqueness indices based on name-character frequency and name-length deviation. Over the years, Chinese characters that are rare in daily life or naming (...) practice were more often used in given names, and the length of given names became more deviant from typical practice. Taken together, these findings not only reconfirmed the increasing prevalence of unique names but also demonstrated the validity of various indices in assessing name uniqueness in China. (shrink)

Volume 20, Issue 5, June 2020, Page 38-40.

This study uses the institutional perspective to examine the interaction effects between the subnational institutional context and firm-level parameters on corporate environmental behaviors, based on a unique cross-sectional data set of private firms compiled from three different sources in China. Our results suggest that both enforcement stringency of environmental regulations at the provincial-level and private firms’ foreign ownership negatively affect compensation fees, which are levies charged for firms’ emissions. Enforcement stringency also moderates the firm-level relationship between foreign ownership and compensation (...) fees, but such a cross-level moderating effect holds only for private firms with non-HMT investments. (shrink)

Cooperative innovation has become a critical method for freight logistics firms in supply chain management. The previous study has proved that relational embeddedness has a positive effect on service innovation performance. However, the influence of organizational learning capacity has been widely ignored. This study focuses on explaining the mechanism of OLC on the relationship between RE and innovation performance of freight logistics service. Firstly, a theoretical model is constructed based on Social Network Theory, and four research hypotheses are presented. Secondly, (...) a sample of 236 respondents from freight logistics firms in China is analyzed to test the hypotheses. Finally, several management implications and recommendations are suggested. The research results demonstrate that both RE and OLC have positive effects on IPFLS. Meanwhile, OLC partially mediates the relationship between RE and IPFLS. The findings provide practical guidance for managers to strengthen the relationship with partners and enhance OLC. (shrink)

Monoidal t-norm based logic $\mathbf {MTL}$ is the weakest t-norm based residuated fuzzy logic, which is a $[0,1]$ -valued propositional logical system having a t-norm and its residuum as truth function for conjunction and implication. Monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ that consists of the formulas with unary predicates and just one object variable, is the monadic fragment of fuzzy predicate logic $\mathbf {MTL\forall }$, which is indeed the predicate version of monoidal t-norm based logic $\mathbf {MTL}$. The main (...) aim of this paper is to give an algebraic proof of the completeness theorem for monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ and some of its axiomatic extensions. Firstly, we survey the axiomatic system of monadic algebras for t-norm based residuated fuzzy logic and amend some of them, thus showing that the relationships for these monadic algebras completely inherit those for corresponding algebras. Subsequently, using the equivalence between monadic fuzzy predicate logic $\mathbf {mMTL\forall }$ and S5-like fuzzy modal logic $\mathbf {S5(MTL)}$, we prove that the variety of monadic MTL-algebras is actually the equivalent algebraic semantics of the logic $\mathbf {mMTL\forall }$, giving an algebraic proof of the completeness theorem for this logic via functional monadic MTL-algebras. Finally, we further obtain the completeness theorem of some axiomatic extensions for the logic $\mathbf {mMTL\forall }$, and thus give a major application, namely, proving the strong completeness theorem for monadic fuzzy predicate logic based on involutive monoidal t-norm logic $\mathbf {mIMTL\forall }$ via functional representation of finitely subdirectly irreducible monadic IMTL-algebras. (shrink)

While the proliferation of social media technologies in China has empowered the public with new opportunities for public expression and political engagement in a ‘virtual public sphere’, Chinese Internet censorship has meant that users have to develop creative ways to engage in political criticism. In a context where both mechanical and human censors are employed, Chinese users have become adept at utilizing the affordances of technology, Chinese language and cultural resources to express their opinions through social media. Drawing upon data (...) from the Chinese microblogging website, Weibo, surrounding the major chemical explosions in 2015 in Tianjin, the study explores three discursive techniques of indirection by Chinese social media users to express political criticism in the context of censorship. The study highlights that through the creative use of quotation, allusion and irony, users challenged the authority’s official narratives of the event. The study not only demonstrates the pluralization and dynamics of Chinese online expression, but also points to a better understanding of Chinese censoring as a continuingly evolving interplay between technology and cultural forms and between layers of government and users. (shrink)

In numerous peripheral sense organs, external stimuli are detected by primary sensory neurons compartmentalized within specialized structures composed of cuticular or epithelial tissue. Beyond reflecting developmental constraints, such compartmentalization also provides opportunities for grouped neurons to functionally interact. Here, the authors review and illustrate the prevalence of these structural units, describe characteristics of compartmentalized neurons, and consider possible interactions between these cells. This article discusses instances of neuronal crosstalk, examples of which are observed in the vertebrate tastebuds and multiple types (...) of arthropod chemosensory hairs. Particular attention is paid to insect olfaction, which presents especially well‐characterized mechanisms of functional, cross‐neuronal interactions. These examples highlight the potential impact of peripheral processing, which likely contributes more to signal integration than previously considered. In surveying a wide variety of structural units, it is hoped that this article will stimulate future research that determines whether grouped neurons in other sensory systems can also communicate to impact information processing. (shrink)

Balanced time perspective is associated with optimal social functioning and facilitates adaptation to pressure and changes in the environment. Previous studies have found that mindfulness is positively associated with and might promote balanced time perspective. However, the mechanism through which mindfulness affects balanced time perspective remains unexplored. The purpose of the present study was to investigate the mediating role of self-compassion and subjective well-being in the relationship between mindfulness and balanced time perspective. A total of 754 Chinese college students, aged (...) 17–27 years, completed the Chinese versions of the Five-Facet Mindfulness Questionnaire, Self-Compassion Scale, Subjective Well-Being Scale, and Zimbardo Time Perspective Inventory. There were significant positive correlations between mindfulness, self-compassion, subjective well-being, and balanced time perspective. Structural equation modeling indicated that in addition to the direct influence of mindfulness on balanced time perspective, self-compassion and subjective well-being played a partial mediating role. On the basis of these findings, we conclude that mindfulness has an important positive influence on balanced time perspective, and highlight the crucial role of the self-compassion in cultivating an individual's balanced time perspective. Limitations of the present study are also discussed. (shrink)

Objective: Tangent Space Mapping using the geometric structure of the covariance matrices is an effective method to recognize multiclass motor imagery. Compared with the traditional CSP method, the Riemann geometric method based on TSM takes into account the nonlinear information contained in the covariance matrix, and can extract more abundant and effective features. Moreover, the method is an unsupervised operation, which can reduce the time of feature extraction. However, EEG features induced by MI mental activities of different subjects are not (...) the same, so selection of subject-specific discriminative EEG frequency components play a vital role in the recognition of multiclass MI. In order to solve the problem, a discriminative and multi-scale filter bank tangent space mapping algorithm is proposed in this article to design the subject-specific Filter Bank so as to effectively recognize multiclass MI tasks. Methods: On the 4-class BCI competition IV-2a dataset, first, a non-parametric method of multivariate analysis of variance based on the sum of squared distances is used to select discriminative frequency bands for a subject; next, a multi-scale FB is generated according to the range of these frequency bands, and then decompose multi-channel EEG of the subject into multiple sub-bands combined with several time windows. Then TSM algorithm is used to estimate Riemannian tangent space features in each sub-band and finally a liner Support Vector Machines is used for classification. Main Results: The analysis results show that the proposed discriminative FB enhances the multi-scale TSM algorithm, improves the classification accuracy and reduces the execution time during training and testing. On the 4-class BCI competition IV-2a dataset, the average session to session classification accuracy of nine subjects reached 77.33 ± 12.3%. When the training time and the test time are similar, the average classification accuracy is 2.56% higher than the latest TSM method based on multi-scale filter bank analysis technology. When the classification accuracy is similar, the training speed is increased by more than three times, and the test speed is increased two times more. Compared with Supervised Fisher Geodesic Minimum Distance to the Mean, another new variant based on Riemann geometry classifier, the average accuracy is 3.36% higher, we also compared with the latest Deep Learning method, and the average accuracy of 10-fold cross validation improved by 2.58%. Conclusion: Research shows that the proposed DMFBTSM algorithm can improve the classification accuracy of MI tasks. Significance: Compared with the MFBTSM algorithm, the algorithm proposed in this article is expected to select frequency bands with good separability for specific subject to improve the classification accuracy of multiclass MI tasks and reduce the feature dimension to reduce training time and testing time. (shrink)

Competitive advantage and sustainability emerge as important factors for the success of an organization’s overall differentiation. This research aims to identify the relationship between internet banking and bank investment decision, as well as gaging the mediating effects of sustainability and competitive advantage as attributes of investment decisions. To achieve that, a questionnaire was administrated to banks’ employees and customers. To carry out the hypothesis testing, we have employed structural equation modeling through SPSS and SmartPLS. The findings suggest that internet banking, (...) sustainability, and competitive advantage constructs are significant antecedents of banks because they highlight valuable attributes for banks to attain future benefits. This paper contributes to bank managers and scholars by providing a framework and supporting theories that help to identify relevant constructs and strategic resource characteristics. From the findings, we recommend conducting future studies in other countries or fields to generalize our results. (shrink)

A new smooth method for solving the support vector machine classification (SVC) is presented. Since the objective function of the unconstrained SVC is non-smooth, we apply the smooth technique and replace the SVC function with Bézier function and get a class of Bézier smooth support vector machines (BSSVM). The fast Newton-Armijo algorithm is used to solve the BSSVM. Theoretical analysis and numerical results illustrate that this smooth SVM model improves in efficiency and accuracy compared with other smooth methods.

本书以通俗的事例和语言系统阐述了哲学原理,并用哲学思维方法分析了大量社会经济现象,阐明了许多经济生活中的哲理。.

本书以通俗的事例和语言系统阐述了哲学原理,并用哲学思维方法分析了大量社会经济现象,阐明了许多经济生活中的哲理。.

Safeguarding GenAI models against threats and aligning them with security requirements is imperative yet challenging. This chapter provides an overview of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like finance, healthcare, and content creation. The narrative then shifts to exploring mitigation strategies and innovative security paradigms. Differential privacy, blockchain-based provenance, quantum-resistant algorithms, (...) and human-guided reinforcement learning are analyzed as potential techniques to harden generative models. Broader ethical concerns surrounding transparency, accountability, deepfakes, and model interpretability are also addressed. The chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vulnerabilities, implications, and solutions is intended to further discourse on securing society’s growing reliance on generative models. Frontier model security is discussed using Anthropic proposed approach. (shrink)

This paper analyzes perceptions of responsible leadership in eight Asia-based firms during the first year of the COVID-19 pandemic. The focal firms were a mixture of multinational corporations (MNCs), large-sized enterprises, and small and medium enterprises (SMEs). In all eight focal firms, we found that the responsible decision-making of leaders during the pandemic was perceived to be guided by five main moral principles. These comprised equity-based justice for employees, meeting employees’ basic needs, ethics of care for employees, concern for non-employee (...) stakeholders, and interactional justice for employees. We developed a conceptual map of how these principles related to aspects of four ethics-oriented leadership theories. Our analysis also identified four types of responsible leadership policies and practices. These comprised prioritizing the health and safety of stakeholders, flexible work arrangements, meeting employees’ and customers’ special needs, and financial and psychological support for employees. (shrink)