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Moral consideration is significantly important as social responsibility of economic actions. This article aims to analyze the moral embeddedness of labor market using the typology of moral behavior in market exchange by Beckert (2005).

This study contributes to methodological novelty through a digital research design using Gephi and NVIVO software. Textual Network Analysis (TNA) is used to analyze the moral embeddedness of labor market transaction of Chinese migrant workers.

Overall, the results show that the presence of Chinese migrant workers in Indonesia is a form of Trojan altruism and harmful to local labor market. This study also provides a theoretical debate that morals are always embedded in markets.

The data and focus of this study are the Indonesian side, particularly the local labor market. In addition, access to interviews with the Chinese government and companies is very challenging and cannot be done because they cannot carelessly provide information to journalists and researchers.

In contrast to previous studies on Chinese migrant workers that tend to use the economic perspective, this study applies the moral perspective that is more sociological and discusses social responsibility of market actions.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0737

This practice-oriented article aims to describe the origins of the Learning Labs PD model and theory behind it, explains what it involves in social studies and illustrates this model by sharing examples from one PD session focused on facilitating inquiries into justice via Hammurabi's Code and Black Founders with seventh and eighth graders.

As the authors developed Learning Labs for Social Studies (LLSS), they used a Design-Based Research approach to study and iterate such that the model is supportive of teachers' and students' learning (e.g. Jennings et al., 2022). In this practice-oriented article, the authors offer a conceptual orientation to the model and some of the take-aways relevant to the demands of offering professional development in polarizing times by sharing examples from one PD day.

LLSS PD in combination with curriculum that structures critical inquiry has supported the authors and their teacher-partners by fostering a community of practitioners who work as a collective to reframe content, support one another while teaching in new ways and learn from students. Specifically, the authors have observed teachers (1) approach social studies topics with greater criticality and center Black identity and history as more than oppression, (2) develop instructional practices that create space for students to make sense of the past in the context of their lives in the present and (3) listen to and center students' thinking and knowledge.

This article presents and illustrates Learning Labs for Social Studies for the first time, offering a professional learning model that supports teachers in polarizing times as they work collaboratively to translate theory into practice and to problem-solve challenges that emerge within their school and classroom contexts.

This study aims to examine the influence of the talent management (TM) process on employee ambidexterity (EA) and the moderating role of learning organizations in Indian IT and ITes organizations.

The study is descriptive and based on empirical data from 390 IT and ITES employees from India. Data were collected using three valid and reliable questionnaires. Data were analysed using partial least squares structural equation modelling.

The findings show that the TM process significantly impacted EA. The moderating effects of the four dimensions of learning organization (LO) on the relationship between the TM process and EA were also noteworthy, even though no direct association was found to be significant. Regarding demographic variables, male and female employees do not vary considerably in their perception of TM process and EA in LO.

The study’s novelty lies in creating and discussing a synthesis of exploration and exploitation stemming from EA in learning organization.

This study aims to establish a comprehensive understanding of the intricacies of how individuals engage with deepfakes, focusing on limiting adverse effects and capitalizing on their benefits.

This study conducted a meta-synthesis of qualitative studies on deepfakes, incorporating study-specific analysis followed by a cross-study synthesis.

Based on the meta-synthesis, the study developed an integrated conceptual framework based on the perspectives from the social shaping of technology theory embedding deepfake-related assertions, motivations, the subtleties of digital platforms, and deepfake-related repercussions.

The study offers crucial insights into the evolving nature of deepfakes as a socio-technical phenomenon and the significance of platform dynamics in deepfake production. It enables researchers to comprehend the cascading effects of deepfakes and positions them to evaluate deepfake-related risks and associated mitigation mechanisms.

The framework that emerges from the study illustrates the influence of platforms on the evolution of deepfakes and assists platform stakeholders in introducing effective platform governance structures to combat the relentless proliferation of deepfakes and their consequences, as well as providing guidance for governments and policymakers to collaborate with platform leaders to set guardrails for deepfake engagement.

Deepfakes have been extensively contested for both their beneficial and negative applications and have been accused of heralding an imminent epistemic threat that has been downplayed by some quarters. This diversity of viewpoints necessitates a comprehensive understanding of the phenomenon. In responding to this call, this is one of the first to establish a comprehensive, theoretically informed perspective on how individuals produce, process, and engage with deepfakes through a meta-synthesis of qualitative literature on deepfakes.

This study aims to review all frameworks of strategic international human resource management (SIHRM) published between 1990 and 2022 to ascertain their relevance in the current context with a focus on methodologies and theories in the post-pandemic era.

In this study a pool of 69 papers published in 16 journals was considered for full-text evaluation using a set of relevant keywords and pre-defined inclusion/exclusion criteria.

The number of qualitative research papers is the highest (90%) and theoretical perspectives are dominated by research-based (17%), institutional (17%) and SIHRM (14%) theories that emphasize competitive advantage, resource dependence and multiple SIHRM frameworks.

This research incorporates dominant theoretical perspectives and methodologies within an integrated SIHRM framework which accommodates the post-pandemic era.

The integrated SIHRM framework reinforces the alignment of multiple contexts, dimensions, models and proportions to enable effective decisions for mitigating the current crisis and future research.

This research integrated a hybrid model of SIHRM by aligning the relevant existing SIHRM frameworks, which management can choose from to leverage the benefits that distributed remote work in an international context and decide what is most suitable for their businesses as they prepare for the future.