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This paper aims to develop a heuristic ethical stance as a provocation for responsible leadership scholarship and practice within entangled human–environment systems. Through consideration of the failures of ethics – in particular Uyghur mass atrocities and their residues in global supply chains – the stance offers a reflexive pathway between the inner value orientation of leaders and the scope of interconnected interests affected by leader action and inaction.

Through an autoethnographic narrative, the applied ethic brings together work by the contemporary Holocaust philosopher John Roth with a motto spread by Anglican educational philosopher and social entrepreneur Charlotte Mason (1842–1923). The failures of ethics centre material, sensorial, religious and relational tensions that are explored through three conversational vignettes relating to the current mass atrocities of Uyghur Turkic Muslims in the Xinjiang region of China.

The resulting ethical stance relates individual personhood to meso and macro levels through Mason’s motto –I am, I can, I ought, I will –and is developed to contain self-reflexivity and identity, conscience informed by testimony, consciousness of the power to protest and resist and intention to pivot. The failures of ethics highlight the apparent centrality of religious ethical traditions to considerations of responsible leadership.

The lack of serious and sustained attention to the ethics in responsible leadership, in particular ethical failures and religious ethics, limits its relevance within entangled systems The paper brings to responsible leadership novel philosophical perspectives to link reflexivity between individual and governance level responses and enliven the imagination of conscience through the ubiquity of complicity.

The interest in sustainable human resource management has grown in the last decades. However, comprehensive, and systematic research concentrating on the evolution of this field, is still needed. The purpose of this study is to provide an overview and synthesis of the existing body of knowledge on human resource management (HRM) related to sustainability through a bibliometric study of articles published until 2022, identifying the most relevant research in this field. In the literature review, special attention is given to articles that link sustainable HRM to employees’ attitudes, identifying gaps and future research opportunities.

A bibliometric analysis and literature review was conducted over 105 documents obtained from the WoS database, using VOSviewer software program, from which 27 were selected for full-text reading. The applied database filters were: document type (article and early access); index (SSCI and SCI-expanded) and year (2019–2022).

The results show that: sustainable HRM literature is growing, especially after 2019; “Sustainability” is the journal with more publications; and England is the leading country. The network of co-occurrence of keywords analysis unveiled that performance, job satisfaction and behaviors are the most frequently studied topics in HRM.

For successful adoption of sustainable HRM practices, organizations should engage all staff comprehensively, focusing not only on consistent implementation but also on fostering a supportive organizational climate. This is vital for establishing a sustainable workplace where employees who strongly identify with the organization are less willing to leave it.

Through the Systematic Literature Review carried out on the articles published from 2019 to 2022, it was possible to identify opportunities for future research. These topics include employees' perceptions of the implementation of sustainable HRM practices in companies, as well as the impact of these practices on their attitudes and behaviors, taking into account the various HRM practices.

User-generated content was explored to understand the public discourse surrounding the Vessel, a star architecture in New York. Through text analytics, the study aims to uncover topics, sentiments and themes in public opinion regarding this controversial building from social media data.

This study utilized a big data and text analytics approach, employing topic modeling with the BERTopic technique, sentiment analysis with roBERTa and thematic analysis on 10,259 Reddit comments pertaining to the Vessel.

The comments were grouped into 20 topics and seven themes, shedding light on discussions regarding the Vessel’s philosophy of existence, critiques of the architect’s approach, evaluations of project success or failure and considerations of the project’s future. Negative sentiments dominate the discourse, reflecting widespread criticism and skepticism towards the project.

The manual data collection method, due to API restrictions, precluded tracking evolving trends over time. Nevertheless, the study provides insights for architects, urban planners, policymakers and stakeholders involved in public space design and management, highlighting the importance of considering user feedback from social media platforms.

This study enriches our comprehension of how users perceive star architecture in the age of social media, focusing on hidden layers of discourse surrounding a controversial iconic building. By combining topic modeling and sentiment analysis, the study offers a novel approach to analyzing architectural public debates on social media platforms like Reddit.