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This study aims to explore how bundling knowledge resources (i.e. knowledge integration mechanisms [KIMs]) and digital resources (i.e. big data-powered artificial intelligence [BDAI]) can enhance supply chain visibility (SCV) capabilities for implementing just-in-case (JIC) practices.

Analysis of survey data from Chinese manufacturers was conducted to test the proposed hypotheses.

The results reveal a significant positive effect of KIMs on BDAI, as well as positive effects of both BDAI and KIMs on SCV. Furthermore, the results suggest that SCV partially mediates the KIMs–JIC relationship and fully mediates the BDAI–JIC relationship.

This study advances the digital SC and inventory management literature by proposing and empirically testing a digital JIC model that explores how to bundle knowledge and digital resources into SC capabilities for managing JIC inventory in uncertain and digital times.

This study aims to address a significant and previously unanswered question for both academics and practitioners: how do organizations learn to apply Blockchain technology to support modern slavery (MS) supply chain capabilities? Specifically, this study examines whether employees’ digital dexterity (EDD) and strategic investment in Blockchain technology (SIBT) can support three MS supply chain capabilities: internal MS capability (IMSC), MS capability with customers (MSCC) and MS capability with suppliers (MSCS).

This study uses resource accumulation and deployment perspective to explain how EDD promotes SIBT, which then drives the development of MS supply chain capabilities. Survey data collected from the Chinese manufacturing industry were used to test the proposed theoretical framework and hypotheses through structural equation modelling and moderated regression analysis.

EDD has a positive relationship with SIBT. SIBT has a positive relationship with IMSC. IMSC fully mediates the relationships between SIBT and MS capability with customers and suppliers.

By conceptualizing MS supply chain capabilities as a multi-dimensional construct for the first time, this study discovers the significant mediating roles of IMSC. The empirical findings also clarify digital dexterity of employees that drives investment in Blockchain technology to foster MS supply chain capabilities as resource accumulation and deployment processes.

Many firms are now pursuing large-scale change initiatives to accelerate their digital transformation (DT) and sustainable development. However, the success rate of DT projects is still low, and the extent to which DT enables firms to improve environmental sustainability (ES) remains unclear. Recently, researchers have argued that DT is more about people transformation rather than technology. Based on the contingent resource-based view, this study investigates how DT influences ES and examines the moderating role of training provision (TP).

Survey data gathered from manufacturers in China were analysed to test the proposed theoretical framework.

The results indicate that DT has a positive impact on ES, and that this effect is positively moderated by TP.

The empirical findings provide insights for managers to understand the success of digital sustainability transformation requires necessary digital knowledge and skills derived from TP.

This study provides an initial examination of digital sustainability, which is a new stream of literature for the digital age, and further extends existing knowledge by demonstrating the importance of people (i.e. TP) in strengthening the effectiveness of DT on ES.

This phenomenological study, conducted within the discourse on the underrepresentation of women in academia, examined the factors influencing the advancement of women academics in science, technology, engineering, and mathematics (STEM).

The sample comprised twenty-one women academics from both public and private universities in Peru. Data were collected through in-depth interviews based on the women's experiences and subsequently processed using Moustakas’ (1994) stages for encoding, categorization, and analysis.

The study introduces a conceptual framework of nine factors – personal tastes and preferences, attitudes towards science as a vocation, care work, work–life balance, congruent gender roles, occupational segregation, lack of opportunities, low salaries, and lack of gender equality policies – that impact the career progression of women in STEM fields.

The results offer valuable insights for policymakers and academic authorities to address the barriers affecting women academics in STEM. The uniqueness of this paper lies in its investigation in Peru, a country with the highest female labor force participation in Latin America, where women constitute the majority of undergraduate program graduates.