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Prior to managing a company’s processes in the presence of a combination of paradigms, there is a need to understand their underlying interaction. This paper systematically reviews the existing literature that discusses the interaction between lean production (LP) and the fourth industrial revolution (i.e. Industry 4.0). The study aims to understand how the interaction unfolds and whether it is synergistic.

The research relies on a systematic literature review of peer-reviewed articles from Scopus and Web of Science that discuss the interaction between the two paradigms. The final set of articles pertaining to the topic was analysed.

The article presents that the interaction between the two paradigms occurs through a representation of the pillars of the House of Lean (HoL) interacting with the nine technological pillars of Industry 4.0. There is a consensus on the synergistic nexus among the pillars and their positive impact on operational performance. We also demonstrate the weights of the interactions between the two paradigms and the areas of operations management where this interaction takes place through Sankey charts. Our research indicates that the largest synergistic interaction occurs between just-in-time and industrial Internet of Things (IIoT) and that companies should invest in IoT and cyber-physical systems as they have the greatest weight of interactions with the pillars of the HoL.

This research facilitates a deeper insight into the interaction between LP and Industry 4.0 by organising and discussing existing research on the subject matter. It serves as a starting point for future researchers to formulate hypotheses about the interaction among the various pillars of LP and Industry 4.0, apply these interactions and test them through empirical research.

It could serve as a guide for managers to understand with which interactions they should start the digitalisation process.

With the rise in discussions on the interaction between the two paradigms, there is still an opportunity to understand the specificity of this interaction. Compared to the initial seminal works on the subject, such as Buer et al. (2018b), which investigated the direction of interaction between the two paradigms, this research contributes to further investigating this specificity and gaining a better understanding of the relationship governing the interaction between LP and Industry 4.0 by delineating the interaction state among the pillars of the two paradigms and its relevant importance.

Higher education (HE) institutions can play a fundamental role in achieving the Sustainable Development Goals. However, universities often face various obstacles to sustainability management, leading to a lack of strategies for implementing governance for sustainability (GFS). The purpose of this paper is to propose a model, based on work and organizational psychology (WOP), for the analysis, promotion and implementation of GFS in HE. The model includes five dimensions: culture, leadership, teamwork, communication and transition management.

Using a mixed methods approach, GFS was investigated in four Piedmontese (Northern Italy) universities and in their sustainability network, applying the model proposed in this paper.

The five dimensions of the model have proven to be fundamental to the development of GFS in HE. Each dimension was filled with experiences from specific contexts through data collection, highlighting specificities and barriers. Furthermore, the mixed methods approach and the WOP perspective proved to be effective in addressing sustainable transitions in HE.

A practical proposal for analyzing and improving HE sustainable transitions in a WOP perspective is still missing, as well as a model that identifies organizational dimensions that should be monitored. This study not only provides an example of this transition but also confirms the importance that the literature attributes to the specificities and barriers of dimensions such as culture, leadership, teamwork, communication and transition management in this context.

As of 2022, the scope of the engagement and interest of debt capital providers in ESG reporting is mainly untapped. However, a vast amount of literature has produced conflicting findings about the importance of debt capital (leverage) as a factor in sustainability reporting (SR). This is the first meta-analysis reconciling the mixed results of 85 single country studies containing 131 effect sizes across 24,482 firms conducted over past three decades (1999–2022) investigating the influence of leverage on SR. The study emphasizes the significance of contextualizing research by identifying the macro-environmental elements modifying debt's impact on SR, through the use of the institutional theory. Eleven country variables were tested on the collected dataset, spread across 36 countries.

Meta-analysis technique for aggregation of existing extant empirical work. Continuous and categorical variable-based moderator analysis to demystify the influence of country characteristics affecting the leverage–SR relationship.

Results show positive significant impact of debt capital providers on SR. Country's level of development, GDP, extent of capital constraints in a country, financial sector development within a nation, country governance factors and corruption levels, country's culture, number of sustainability reporting instruments operational in a country and geographical location proved to be significant moderators.

The study details relevant meaningful research gaps, worthy of uptake by researchers to produce targeted research.

Governments must increasingly go beyond their mandated disclosure role and acknowledge the important institutional factors that have contributed to the expansion of ESG reporting through the creation of nation-specific tools, incentive structures and disclosure-encouraging regulations. To secure a steady flow of funding and prevent negative effects on company value and cost of capital in the midst of prolonged global economic upheaval, businesses must address the information requirements of lenders. The limited total effect size emphasizes the necessity for debt providers to step up their ESG activism and exercise their maximum power and potential in stimulating extensive SR firm-level practices.

The present study is the first meta-analysis reconciling the mixed results of 85 single-country studies containing 131 effect sizes across 24,482 firms conducted over the past three decades (1999–2022) investigating the influence of leverage on SR and demystifying the macro-environmental factors affecting the leverage–SR association.

This study aims to offer an empirical analysis to identify the relation between the adoption of knowledge management practices and the improvement of social innovation capabilities as an outcome of the knowledge sharing. Specifically, social innovation capabilities are triggered by knowledge-sharing enablers, such as intrinsic and extrinsic socially driven motivations.

Based on a sample from 300 nonprofit organizations, the study explains causal relationships in terms of the multiplicity of triggers that act on a social innovation capability. The research applied the partial least squares structural equation modeling (PLS-SEM) method through SmartPLS 3.3 software. Data are collected from an online survey and highlight the employees’ and volunteers’ boost in nonprofit organizations to seek positive social change as a priority goal of their business model.

The results support the existence of a direct and positive relationship between knowledge-sharing enablers (i.e. intrinsic and extrinsic socially driven motivations), the mechanism of the formation of knowledge-sharing behaviors (an inside-out and outside-in process) and social innovation capabilities.

The study combines the open innovation framework with social innovation activities and investigates the role of knowledge sharing in the building of social innovation capabilities. To the best of the authors’ knowledge, the paper is the first attempt to describe a synergic framework, including open innovation literature, social innovation capability and knowledge-sharing processes.

This paper is a part of the research stream that focuses on the processes of distribution of knowledge flows along the boundaries of the organization. Thus, this study broadens the field of knowledge management and social innovation initiatives.

Drug cryptomarkets increase information available to market actors, which should reduce information asymmetry and increase market efficiency. This study aims to determine whether cryptomarket listings accurately represent the advertised substance, weight or number and purity, and whether there are differences in products purchased from the same listing multiple times.

Law enforcement drug purchases – predominantly cocaine, methamphetamine, MDMA and heroin – from Australian cryptomarket vendors (n = 38 in 2016/2017) were chemically analysed and matched with cryptomarket listings (n = 23). Descriptive and comparative analyses were conducted.

Almost all samples contained the advertised substance. In most of these cases, drugs were either supplied as-advertised-weight or number, or overweight or number. All listings that quantified purity overestimated the actual purity. There was no consistent relationship between advertised purity terms and actual purity. Across the six listings purchased from multiple times, repeat purchases from the same listing varied in purity, sometimes drastically, with wide variation detected on listings purchased from only one month apart.

In this data set, cryptomarket listings were mostly accurate, but the system was far from perfect, with purity overestimated. A newer, larger, globally representative sample should be obtained to test the applicability of these findings to currently operating cryptomarkets.

This paper reports on the largest data set of forensic analysis of drug samples obtained from cryptomarkets, where data about advertised drug strength/dose were obtained.

The purpose of this study is to demystify the authenticity dimensions of wine experience with the locally guided tour in the meal-sharing economy, drawing on travellers' online reviews at Withlocals for French locally guided wine tours.

The qualitative research approach was performed through the thematic analysis of 940 online reviews from Withlocals. The coding phase was completed based on a three-step coding process (i.e. open, axial and selective coding), as all reviews that were gathered were related to locally guided wine tours rather than only wine-sharing activities.

The findings of this study demonstrated four interrelated authenticity dimensions: the taste of terroir, local atmosphere, oenological knowledge and local insight. The results of this study also notably showed that all reviews were primarily positive; travellers expressed their satisfaction with wine tours at Withlocals and often mentioned their re-purchase intentions as well as advising wine tours in the meal-sharing economy.

Several worthy theoretical and practical implications were discussed for local tour guides to improve their tour quality more authentically. The results also demonstrate that locally guided wine tours in the meal-sharing economy were regarded as a multidimensional activity that provides a better discovery of a wine destination.

Despite the large volume of generic meal-sharing economy experience studies, the authenticity experience of the locally guided wine tours has been surprisingly omitted by scholars. Therefore, this study contributes to the sharing economy literature through wine experience by addressing the authenticity dimensions of the locally guided wine tours in the meal-sharing economy.

This scientific article aims to evaluate the efficacy of the drug Doxorubicin for treating hepatocellular carcinoma (HCC) in Egypt. The study analyzes data from patients referred to a multi-disciplinary consultation at the National Cancer Institute, Cairo University. The study includes 40 intermediate-stage HCC patients who underwent treatment with either Doxorubicin-Lipiodol or Doxorubicin-loaded drug-eluting beads-trans-arterial chemoembolization (DEB-TACE).

Patients referred to a multi-disciplinary consultation at the National Cancer Institute, Cairo University with a possible diagnosis of HCC in the intermediate stage were eligible for the study.

The study finds that the plasma peak concentration of Doxorubicin is significantly higher in patients treated with Lipiodol compared to those treated with DEB-TACE. The median plasma peak concentration of patients treated with Lipiodol was significantly higher 424 (202.5–731) than the peak level of patients treated with beads 84.95 (26.6–156.5) with p-value = 0.036. However, there is no significant difference in other pharmacokinetic parameters between the two treatment groups. The research article also investigates the genetic polymorphisms in HCC patients treated with Doxorubicin-Lipiodol and Doxorubicin-loaded DEB-TACE. It identifies a significant association between the ABCB1 gene (C3435T) and the concentration of Doxorubicin in plasma. Patients with the CCand computed tomography (CT) genotypes of ABCB1 have higher concentrations of Doxorubicin compared to those with the TT genotype. Furthermore, the study examines the progression-free survival rates and tumour response in the two treatment groups. It demonstrates that DEB-TACE patients have a higher progression-free survival rate compared to cTACE patients. DEB-TACE also leads to better tumour regression.

The current study helps to increase the understanding of the genetic factors that may contribute to HCC susceptibility in the Egyptian population. However, it is essential to consider that genetic polymorphism is just one aspect of HCC risk, and other factors such as environment, lifestyle and viral infections also play crucial roles. Further research is needed to elucidate the complex interactions between genetic and environmental factors in HCC development among Egyptians.

Perspiration and heat are produced by the body and must be eliminated to maintain a stable body temperature. Sweat, heat and air must pass through the fabric to be comfortable. The cloth absorbs sweat and then releases it, allowing the body to chill down. By capillary action, moisture is driven away from fabric pores or sucked out of yarns. Convectional air movement improves sweat drainage, which may aid in body temperature reduction. Clothing reduces the skin's ability to transport heat and moisture to the outside. Excessive moisture makes clothing stick to the skin, whereas excessive heat induces heat stress, making the user uncomfortable. Wet heat loss is significantly more difficult to understand than dry heat loss. The purpose of this study is to provided a good compilation of complete information on wet thermal comfort of textile and technological elements to be consider while constructing protective apparel.

This paper aims to critically review studies on the thermal comfort of textiles in wet conditions and assess the results to guide future research.

Several recent studies focused on wet textiles' impact on comfort. Moisture reduces the fabric's thermal insulation value while also altering its moisture characteristics. Moisture and heat conductivity were linked. Sweat and other factors impact fabric comfort. So, while evaluating a fabric's comfort, consider both external and inside moisture.

The systematic literature review in this research focuses on wet thermal comfort and technological elements to consider while constructing protective apparel.