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The purpose of this paper is to highlight the relevant role of the stereochemistry of two Ruthenium catalysts on the self-healing efficiency of aeronautical resins.

Here, a very detailed evaluation on the stereochemistry of two new ruthenium catalysts evidences the crucial role of the spatial orientation of phenyl groups in the N-heterocyclic carbene ligands in determining the temperature range within the curing cycles is feasible without deactivating the self-healing mechanisms (ring-opening metathesis polymerization reactions) inside the thermosetting resin. The exceptional activity and thermal stability of the HG2_MesPhSyn catalyst, with the syn orientation of phenyl groups, highlight the relevant potentiality and the future perspectives of this complex for the activation of the self-healing function in aeronautical resins.

The HG2_MesPhSyn complex, with the syn orientation of the phenyl groups, is able to activate metathesis reactions within the highly reactive environment of the epoxy thermosetting resins, cured up to 180°C, while the other stereoisomer, with the anti-orientation of the phenyl groups, does not preserve its catalytic activity in these conditions.

In this paper, a comparison between the self-healing functionality of two catalytic systems has been performed, using metathesis tests and FTIR spectroscopy. In the field of the design of catalytic systems for self-healing structural materials, a very relevant result has been found: a slight difference in the molecular stereochemistry plays a key role in the development of self-healing materials for aeronautical and aerospace applications.

Implementing the sustainable development goals (SDGs) has proven a significant challenge for companies. While multinational enterprises (MNEs) have shown a real intention to contribute to these goals, they face major barriers in implementing the SDGs in their core business strategies. Extant academic studies on this phenomenon have primarily explored why companies “should” address the SDG agenda but have not (yet) explored what “works,” what does not “work,” and why. Therefore, evidence of a sizable gap between intention and realization is growing. Besides, there is a limited explanation for the existence of this gap and no validated implementation models that could help overcome it. Additionally, management research remains relatively fragmented. The diversity of existing theoretical and empirical frameworks makes it difficult to consolidate scientific and practical insights on “how” to guide companies to accelerate the global goals through their core operations.

This study is one of the first attempts to draw lessons from extant research on effective SDGs’ implementation strategies. For that, we upgrade the “SDG Compass,” which has been recognized as a leading framework for SDGs implementation in companies’ core activities. A critical assessment of the literature on the SDGs implementation has been conducted through a systematic literature review (SLR) and bibliometric analysis. This has helped us identify gaps in the SDG implementation practice and accumulate relevant insights supporting a more integrated and upgraded implementation framework: the SDG Compass+. This framework can advance coordinated theoretical and practical research by identifying the antecedents and critical factors of impactful SDG implementation strategies.

The purpose of this paper is to study the evolution of financial contagion between Eurozone banks, observing the credit default swaps (CDSs) market during the period 2009–2017.

The authors use a dynamic spatial Durbin model that enables to explore the direct and indirect effects over the short and long run and the transmission channels of the contagion.

The results show how contagion emerges through physical and financial market links between banks. This finding implies that a bank can fail because people expect other related financial institutions to fail as well (self-fulfilling crisis). The study provides statistically significant evidence of the presence of credit risk spillovers in CDS markets. The findings show that equity market dynamics of “neighbouring” banks are important factors in risk transmission.

The research provides a new contribution to the analysis of EZ banking risk contagion, studying CDS spread determinants both under a temporal and spatial dimension. Considering the cross-dependence of credit spreads, the study allowed to verify the non-linearity between the probability of default of a debtor and the observed credit spreads (credit spread puzzle). The authors provide information on the transmission mechanism of contagion and, on the effects among the largest banks. In fact, through the study of short- and long-term impacts, direct and indirect, the paper classify banks of systemic importance according to their effect on the financial system.

The purpose of this paper is to provide evidence regarding the contributions of ambidextrous workforces as a source of value for dynamic companies and organizations facing emerging market turbulence.

Using structural equation modeling, the paper analyses the data collected via a semi-structured questionnaire administered to a sample of 1,227 employees from 37 Italian small- to medium-sized enterprises to investigate the effect on companies’ economic performance of ambidextrous workforce-related elements such as study background, previous work experience, work flexibility and soft capabilities.

The research shows that multidisciplinary human resources’ study background, previous human resources’ work experience and human resources’ soft capabilities are positively linked to companies’ return on sales, providing indirect evidence about the role of ambidextrous workforces in supporting companies facing emerging market turbulence.

The research demonstrates the relevant role of human resources in supporting companies to better align themselves to the emerging social and economic variety.

This paper aims to investigate the potential of knowledge management (KM) as a discipline in helping understand and manage social and economic complexity. The paper highlights some of the potential relationships between KM in organisations and their economic performance. Finally, the authors assess the role of human resources and technological infrastructures in the relationship between organisation’s approach to KM and their performance.

The hypotheses are tested via a survey on a sample of managerial-level employees of information technology organisations located in the city of Brno in Czech Republic. The data collected are analysed using structural equation modelling (SEM) to study the relationship between KM; the workforce’s willingness and ability to collaborate and co-create value; and the organisations’ economic performance.

The research found that there is a direct and positive relationship between an organisation’s approach to KM and its economic performance. This study also shows that the workforce’s behaviour and the technological infrastructure of the organisation have a direct effect on business performance. Finally, the authors proposed that a link between human resource management and technology orientation must be established and supported by a KM strategy.

This paper offers a new perspective to the approach to KM in organisations. Reflections and empirical results underline the need for organisations to invest in the implementation of KM strategies that involve both the human resources and technological infrastructure as a way to improve the impact of knowledge on the companies’ economic performances.

ISO 14001 standard is the environmental certification developed by the International Organization for Standardization to describe the requirements for a certifiable Environmental Management System (EMS). The standard is included in the ISO 14000 series, developed because of the need for improved environmental quality. The current version of the ISO 14001 is the ISO 14001:2015; the purpose of the revision was to structure all the ISO standard (e.g., ISO9001) similarly and facilitate management systems’ integration.

The literature highlights that many drivers encourage companies to obtain the certification (e.g., need for an improved image of the company, pressure from customers, and ethical reasons), but there are also some barriers to its implementation (e.g., risk of spreading confidential information, reduction in productivity, and cost of the certification). However, the certification is connected to better performances indicated by the increase in process productivity and control, the reduction in resources’ consumption and waste, and the improved quality of products/processes.

The gradual increase in geriatric issues and global imbalance of the ratio between patients and healthcare professionals have created a demand for intelligent systems with the least error-prone diagnosis results to be used by less medically trained persons and save clinical time. This paper aims at investigating the development of image-based colourimetric analysis. The purpose of recognising such tests is to support wider users to begin a colourimetric test to be used at homecare settings, telepathology and so on.

The concept of an automatic colourimetric assay detection is delivered by utilising two cases. Training deep learning (DL) models on thousands of images of these tests using transfer learning, this paper (1) classifies the type of the assay and (2) classifies the colourimetric results.

This paper demonstrated that the assay type can be recognised using DL techniques with 100% accuracy within a fraction of a second. Some of the advantages of the pre-trained model over the calibration-based approach are robustness, readiness and suitability to deploy for similar applications within a shorter period of time.

To the best of the authors’ knowledge, this is the first attempt to provide colourimetric assay type classification (CATC) using DL. Humans are capable to learn thousands of visual classifications in their life. Object recognition may be a trivial task for humans, due to photometric and geometric variabilities along with the high degree of intra-class variabilities, it can be a challenging task for machines. However, transforming visual knowledge into machines, as proposed, can support non-experts to better manage their health and reduce some of the burdens on experts.

The purpose of this paper is to ascertain the factors determining the choice of sources of finance for a tech startup over its lifecycle.

This study adopts simple random sampling technique to choose 93 sample tech startups in Bangalore. Further, this study employs the primary data collection from the sampled startups under study through a semi-structured questionnaire and in-depth interviews with the founders/CEOs of these startups. Furthermore, it carries out binary logistic regression analysis to primarily examine the likelihood of a tech startup to approach and access a particular source of finance over its lifecycle.

Our results indicate that a tech startup's choice for a financial source varies with its lifecycle stage and financial requirements. We find that while in its early stage, a tech startup's choice of a financial source is limited to business angels (BA), in the growth stage, it approaches the institutional sources, viz. Venture Capital (VC), Corporate Venture Capital (CVC), Banks and Private Equity (PE) firms alternatively. Out of the three major categories of financial requirements: Human Capital (HC), Research Capital (RC) and Social Capital (SC), the requirement for HC and SC is predominantly funded by VCs, while the acquisition of RC is facilitated by early stage investors (BAs) as well as growth stage investors (CVC and PEs).

The research implication of the study lies in bringing out the need to understand both the nature and the quantum of financial requirements of tech startups would influence the sources of finance it would approach and obtain finance for its operations and growth.

The major policy implication of the study refers to the need to promote the diverse sources of finance to meet the diverse needs of finance in different stages of a tech startup's lifecycle. Particularly in an emerging economy, where we do not see the emergence and growth of highly innovative tech startups, the need to promote adequate availability of RC is especially important.

This study makes a key contribution to the entrepreneurial finance literature by empirically investigating the factors determining a tech startup's propensity to approach and access a particular source of finance over its lifecycle.