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Organisations are confronted with the challenge of navigating various pressures arising from activities that shape environmental and social impacts, which stakeholders find significant. This research endeavours to ascertain a process facilitating the analysis and seamless integration of sustainability into corporate strategy. The goal is to establish an “integrated” ESG governance framework adept at effectively managing institutional pressures.

This research employs an action research approach, focusing on a leading company within the sugar industry. The investigation delves into the relationship dynamics associated with business issues through a process that engages, either directly or indirectly, board members, top managers, as well as industrial and commercial customers, along with final consumers.

The formulation of a sustainability strategy serves as a guiding framework for the Board of Directors in effectively navigating tensions arising from environmental, social and economic pressures.

The research contributes to bridging the realms of business governance and institutional theory (viewed under a paradoxical lens). On a managerial level, the study introduces a structured process aimed at seamlessly integrating sustainability objectives into governance, aligning with international ESG guidelines (OECD, 2023; WEF, 2020).

The originality of this research lies in crafting a sustainability strategy by the BoD that takes into account the impact of governance and responds to the demands of strategic stakeholders.

The study aims to investigate virtual relational capital (VRC) to evaluate to what extent virtual relations (VR), obtained by using new technologies, support the development of firms, also considering the increasing sustainability’s needs. The study addresses the literature gap on VRC dynamics through an empirical analysis.

The investigation focuses on a single case study in the lighting industry, deepening the case of a small Italian company. The case is analyzed through the lens of the CAOS framework model by Paoloni, nurtured through direct semi-structured interviews with the entrepreneur and some managers and consultants, and data collected via web scraping.

VRC, obtained by the use of new technological tools, contributes to developing and fostering the innovation ecosystem in which companies need to create new skills and synergic alliances with other stakeholders. Moreover, VR can improve commercial and sales performance, stakeholder engagement and sustainability, including alignment with the circular economy and waste management principles. VRC can support smaller companies with more limited resources to connect to a broader range of actors, raising their voices with policymakers and other relevant international institutions.

The study contributes to the theoretical understanding of VRC, especially in an era in which new technologies play a fundamental role for both businesses and people. It also provides practical insights into how companies, especially smaller ones, can maximize their sustainable impact by strategically adopting virtual interactions with meaningful stakeholders like customers, key executive partners, industrial associations and policymakers.

For additive manufacturing (AM) through laser-based powder bed fusion of polymers (PBF-LB/P), accurate characterization of powder flowability is vital for achieving high-quality parts. However, accurately characterizing feedstock flowability presents challenges because of a lack of consensus on which tests to perform and the diverse forces and mechanisms involved. This study aims to undertake a thorough investigation into the flowability of eight feedstock materials for PBF-LB/P at different temperatures using various techniques.

For ambient temperature assessments, established metrics such as avalanche angle and Hausner ratio, along with the approximated flow function coefficient (FFC_app), are used. The study then focuses on the influence of elevated temperatures representative of in-process conditions. FFC_app and differential scanning calorimetry (DSC) are performed and analyzed, followed by a correlation analysis as a holistic approach to identify key aspects for flowability. Furthermore, two feedstock materials are compared with a previous study to connect the present findings to PBF-LB/P processing.

The study revealed intrinsic material properties such as mechanical softening near the melting point to become significant. This partially explains why certain powders with poor ambient temperature flowability are consistently demonstrated to produce high-quality parts. FFC_app and thermal characterization through DSC are identified as critical metrics for optimizing feedstock material characteristics across temperature ranges.

Previous studies emphasized specific characterizations of feedstock material at ambient temperature, presented a limited materials selection or focused on metrics such as shape factors. In contrast, this study addresses a partially understood aspect by examining the critical role of temperature in governing feedstock material flowability. It advocates for the inclusion of temperature variables in flowability analyses to closely resemble the PBF-LB/P process, which can be applied to material design, selection and process optimization.

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.

This review provides an overview of recent advances in electrochemical sensors for analyte detection in saliva, highlighting their potential applications in diagnostics and health care. The purpose of this paper is to summarize the current state of the field, identify challenges and limitations and discuss future prospects for the development of saliva-based electrochemical sensors.

The paper reviews relevant literature and research articles to examine the latest developments in electrochemical sensing technologies for saliva analysis. It explores the use of various electrode materials, including carbon nanomaterial, metal nanoparticles and conducting polymers, as well as the integration of microfluidics, lab-on-a-chip (LOC) devices and wearable/implantable technologies. The design and fabrication methodologies used in these sensors are discussed, along with sample preparation techniques and biorecognition elements for enhancing sensor performance.

Electrochemical sensors for salivary analyte detection have demonstrated excellent potential for noninvasive, rapid and cost-effective diagnostics. Recent advancements have resulted in improved sensor selectivity, stability, sensitivity and compatibility with complex saliva samples. Integration with microfluidics and LOC technologies has shown promise in enhancing sensor efficiency and accuracy. In addition, wearable and implantable sensors enable continuous, real-time monitoring of salivary analytes, opening new avenues for personalized health care and disease management.

This review presents an up-to-date overview of electrochemical sensors for analyte detection in saliva, offering insights into their design, fabrication and performance. It highlights the originality and value of integrating electrochemical sensing with microfluidics, wearable/implantable technologies and point-of-care testing platforms. The review also identifies challenges and limitations, such as interference from other saliva components and the need for improved stability and reproducibility. Future prospects include the development of novel microfluidic devices, advanced materials and user-friendly diagnostic devices to unlock the full potential of saliva-based electrochemical sensing in clinical practice.