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Drawing on signalling and impression management theories, this study aims to examine a bidirectional association between managerial tone in earnings conference calls and financial performance.

The sample includes non-financial firms listed in the FTSE 350 index during the period 2010–2015. Managerial tone was measured using positive and negative keywords based on the Loughran-McDonald Sentiment Word Lists, while return on assets was used as a proxy for firms’ financial performance.

The findings indicate that current financial performance positively affects the managerial tone in earnings conference calls. Likewise, the results also show that there is a positive relationship between managerial tone in earnings conference calls and firms’ future financial performance.

The results have important implications for top management to use more virtual communication media (i.e. earnings conference calls) to continue managing their relationships with financial stakeholders and helping them better understand financial performance, especially in countries where holding such calls is not yet part of firms’ policy.

To the best of the authors’ knowledge, this is one of the first studies that explore the relationship between managerial tone in earnings conference calls and financial performance. Overall, this study contributes to managerial tone literature and holds significant theoretical and practical implications.

The purpose of this study is to investigate the effectiveness of university-driven knowledge transfer initiatives in enhancing the capabilities and performance of local suppliers in the garment industry. By focusing on the impact of UDIs in Myanmar, this research aims to provide empirical evidence on how these initiatives can foster supplier development and performance improvement through targeted capability enhancement strategies.

This study utilizes a combination of surveys and an experimental design to evaluate the impact of university-driven supplier development interventions (UDIs) based on Lean principles in Myanmar’s garment industry. Nine garment suppliers were assessed before and after the UDI program. The research employed partial least squares structural equation modeling (PLS-SEM) to analyze the direct, indirect and mediating effects of UDIs on supplier performance, focusing on the role of supplier capability enhancement as a mediating factor.

The study found that the UDI program significantly improved supplier capabilities, which in turn led to enhanced performance. The analysis revealed partial mediation, indicating that while UDIs directly impact supplier performance, their effect is significantly amplified through the enhancement of supplier capabilities. These findings highlight the critical role of targeted capability development in achieving substantial performance improvements among local suppliers.

This research contributes to the literature by providing empirical evidence on the effectiveness of university-driven supplier development initiatives in a developing country context. It validates the indirect role of UDIs in boosting supplier performance via capability enhancement, emphasizing the importance of industry-specific and capability-focused development strategies. The findings underscore the value of structured knowledge transfer programs in supporting local suppliers, offering practical insights for policymakers and educational institutions aiming to enhance industrial performance through strategic interventions.

India’s rapid economic growth has triggered a significant transformation in its logistics sector, fueled by comprehensive reforms and digital initiatives outlined in the National Logistics Policy. Smart warehouses, equipped with cutting-edge technologies such as IoT, AI and automation, have taken center stage in this evolution. They play a pivotal role in India’s digital journey, revolutionizing supply chains, reducing costs and boosting productivity. This AI-driven transformation, in alignment with the “Digital India” campaign, positions India as a global logistics leader poised for success in the industry 4.0 era. In this context, this study highlights the significance of smart warehouses and their enablers in the broader context of supply chain and logistics.

This paper utilized the ISM technique to suggest a multi-tiered model for smart warehouse ecosystem enablers in India. Enablers are also graphically categorized by their influence and dependence via MICMAC analysis.

The study not only identifies the 17 key enablers fostering a viable ecosystem for smart warehouses in India but also categorizes them as linkage, autonomous, dependent and independent enablers.

This research provides valuable insights for practitioners aiming to enhance technological infrastructure, reduce costs, minimize wastage and enhance productivity. Moreover, it addresses critical academic and research gaps contributing to the advancement of knowledge in this domain, thus paving the way forward for more research and learning in the field of smart warehouses.

The qualitative modeling is done by collecting experts' opinions using the ISM technique solicits substantial value to this research.

Under the current untrusted business environment, digital technologies, such as blockchain technology (BT), show the potential to digitally transform SC processes particularly the sourcing process (SP). Indeed, this process suffers from a lack of digitalization, a lack of trust and a high workload in the automotive supply chain (ASC). Therefore, BT coupled with smart contracts can deal with such issues by fostering trust, transparency, reliability and traceability as a digital solution.

This paper conducts multiple case studies in the automotive sector and interviews 11 managers from two firms. It follows the managers’ perspective to identify and analyze the main issues that occurred while conducting this process using the existing technology.

It proposes a new architecture for the smart sourcing process (SSP) that uses BT & smart contracts to mitigate the identified issues, enable traceability, improve resilience, eliminate intermediaries, automate tasks, and enhance trust and data management. Also, the paper provides a decision tree to help determine which blockchain platform is needed for adopting the SSP solution.

This study is useful for both academics and practitioners as it demonstrates the digitalization of one of the SC processes using BT and smart contracts, as well as develops a roadmap for digitalizing the SP of the ASC, and solves its vulnerabilities.

BT has been used by researchers to digitalize the sourcing process only in the public procurement area. Considering all the faced challenges by the private procurement area, this paper aims to present a new architecture for the digitalization of the SP using BT and smart contracts in the ASC as a private SC.

This conceptual paper aims to present a perspective on how to engineer sustainability through the prism of Industry 4.0 technologies and outline propositions to guide future research.

This study presents a literature review developing four research propositions, focusing on the nine leading technologies underpinning Industry 4.0 to engineer economic, environmental and social sustainability dimensions.

The authors derive benefits and challenges of Industry 4.0 technologies across all three business model elements: value creation, value delivery and value capture. The authors derive those for the economic, environmental and social dimensions of sustainability. Thereupon, we develop several propositions for future research.

The authors provide suggestions to practice how to better achieve value in all three sustainability dimensions through implementing a business model perspective, ecosystem thinking, societal demands and Data Governance and AI integration.

By linking societal aspects of Industry 4.0 technologies with environmental, and economic aspects, the authors provide several suggestions how to implement Industry 4.0. For instance, policymakers are recommended to support entire ecosystems than isolated solutions.

The paper contributes to extant literature by conceptualising how Industry 4.0 can leverage value in reaching sustainability in all three dimensions and produce broader ecosystems-wide impacts.