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The water-lubricated hydrodynamic herringbone groove journal bearing (HGJB) is capable of running at high speed. However, when running at a low speed, it suffers from a low load-carrying capacity due to the weak hydrodynamic effect. To overcome this problem, this study proposes a hybrid water-lubricated HGJB and aims to investigate its dynamic characteristics.

A hybrid lubrication model applicable to the hybrid water-lubricated HGJB is established based on the boundary fitted coordinate system, which considers the turbulent, thermal and tilting effects, and the finite difference method is used to calculate the dynamic characteristics of the hybrid water-lubricated HGJB.

The result shows that the hybrid HGJB has larger dynamic coefficients and better system stability compared with the hydrodynamic HGJB when running at low speed. Furthermore, the stiffness of hybrid HGJB are mainly governed by the hydrodynamic effect rather than the hydrostatic effect when running at high speed.

The proposed hybrid water-lubricated HGJB shows excellent dynamic characteristics at either low speed or high speed; and the hybrid water-lubricated HGJB has a large load-carrying capacity when running at low speed and has a good dynamic stability when running at high speed.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0233/

The complexity of contemporary societal challenges in emerging countries reanimates the necessity of collective action to resolve them. What is required is system change, namely, transformations in policy, practice, power relationships, market dynamics and social customs that underlie social and environmental issues. Technological innovations, paired with intentional social changes, might play a transformative role in this effort. This paper aims to investigate the relationship between the adoption of technologies in social enterprises (SEs) and their contribution to achieving system change. It also addresses the effects of their hybrid nature on this relationship.

The analysis relied on data collected through a survey of the global population of Ashoka fellows, which is largely based in emerging economies. Three models were developed concerning different pathways to achieve system change identified in the theoretical framework. These were tested using Probit regressions.

The investigation confirms that technology can support SEs in navigating complex pathways to achieve system change rather than merely enabling linear scaling operational strategies. The pursuit of economic value creation, in conjunction with a social mission, decreases the ability of SEs to achieve system change. This is because the scaling paths which hardly create revenues are neglected.

The study conceptualises a multifaceted model of system change. It tests the framework empirically to show that SEs can adopt technologies to unleash complex system change processes to generate societal impact, on top of merely demonstrating linear approaches to scaling or replication. The paper questions the capacity of SEs to facilitate system change without appropriate financial support and the inherent tensions between hybridity and the depth of system change dynamics.

This paper aims to control the clay’s dispersion within the PA6 matrix. Cloisite Na+, a naturally occurring sodium montmorillonite (NaMMT), and Cloisite 30B and 93A, two organophilic MMT (OMMT), were used for this purpose.

By using a twin-screw extruder for melt mixing, Polyamide 6 (PA6)/NaMMT nanocomposites with 1, 3, 5 and 10 Wt.% Cloisite Na+ and PA with 5 and 10 Wt.% Cloisite 30B and 93A were created. PA6/OMMT nanocomposite to investigate how organoclay disperses within the PA6.

The link among PA6 and the silicate layer was evaluated via (FTIR), confirming presence of a compact contact between the nanosilicate layer and PA6 segments. Thermal behavior of obtained nanocomposites was evaluated through a thermogravimetric analyzer. The data confirmed that the thermal behavior of PA6 was moderately improved once addition 5 Wt.% filler, in the order: Cloisite Na+>Cloisit 93A>Cloisit 30B.Electrical properties have been studied through measuring dielectric constant, dielectric loss and conductivity measurment that procced at frequencies from 10^–1 to 107 Hz and temperatures from 40°C to 120°C, dielectric constant (έ) and dielectric loss (έ) of the nanocomposite were sharply increased with increasing the two parameters temperature and frequency.

The hybrid nanomaterials of PA6/ Cloisite Na+, Cloisite 93A or Cloisite 30B can be credited as electronic nanodevices and microwave semiconductors materials with a small amount of nanoclay filler as illustrated in the conclusion.

This study presents the development of a supply chain (SC) observatory, which is a benchmarking solution to support companies within the same industry in understanding their positioning in terms of SC performance.

A case study is used to demonstrate the set-up of the observatory. Twelve experts on automatic equipment for the wrapping and packaging industry were asked to select a set of performance criteria taken from the literature and evaluate their importance for the chosen industry using multi-criteria decision-making (MCDM) techniques. To handle the high number of criteria without requiring a high amount of time-consuming effort from decision-makers (DMs), five subjective, parsimonious methods for criteria weighting are applied and compared.

A benchmarking methodology is presented and discussed, aimed at DMs in the considered industry. Ten companies were ranked with regard to SC performance. The ranking solution of the companies was on average robust since the general structure of the ranking was very similar for all five weighting methodologies, though simplified-analytic hierarchy process (AHP) was the method with the greatest ability to discriminate between the criteria of importance and was considered faster to carry out and more quickly understood by the decision-makers.

Developing an SC observatory usually requires managing a large number of alternatives and criteria. The developed methodology uses parsimonious weighting methods, providing DMs with an easy-to-use and time-saving tool. A future research step will be to complete the methodology by defining the minimum variation required for one or more criteria to reach a specific position in the ranking through the implementation of a post-fact analysis.

This study aims to provide insights into the experiences of working from home (WFH) in a global context from the perspective of perceived productivity.

This paper uses a multivariate analysis benefiting from an extensive data set of almost 137,500 respondents from 88 countries.

This paper find that most respondents are satisfied with their productivity when WFH: 70% agree or strongly agree with “My home environment enables me to work productively”. The results further show that socio-demographic factors, as well as the social and physical settings at home, are associated with the perceptions of productivity. Being younger, dissatisfied with the physical setting and the presence of others at home seem to decrease the probability of being satisfied with productivity, whereas being female seems to increase it. However, some differences between countries exist when controlling for socio-demographic factors, presence of others and physical setting at home.

The results enhance understanding of perceived productivity in different countries while WFH and provide valuable insights for employers, employees and policymakers on how to support WFH effectively.

The value of this paper lies in its investigation of socio-demographic factors, as well as the social and physical home environment, in relation to perceptions of productivity within a truly global context, while also comparing differences between countries.

Several disciplines and thousands of studies have used, developed and supported technology adoption theories to guide industry and support innovation. However, within the past decade, a paradigm shift referred to as the fourth industrial revolution (4IR) has resulted in new considerations affecting how models are used to guide emerging technology integration into business strategy. The purpose of this study is to determine which technology adoption model, or models are primarily used when assessing smart technologies in the 4IR construct. It is not to investigate the rigour of existing models or their theoretical underpinnings, as this has been proven.

To achieve this, a systematic literature review based on the preferred reporting items for systematic reviews and meta-analysis methodology is used. From 3,007 publications, 125 papers between 2015 and 2021 were deemed relevant for thematic analysis.

From the literature, five perspectives were extracted. As with other information and communication technology studies, the analysis confirms that the technology acceptance model remains the predominantly used model. However, 105 of the 125 models extended their theoretical underpinnings, indicating a lack of maturity. Furthermore, the countries of study and authors’ expertise are predominantly clustered in the European and Asian regions, despite the study noting expansion into 16 different subject areas, far beyond the smaller manufacturing scope of Industry 4.0.

This study contributes theoretically by providing a baseline to develop a generalisable 4IR model grounded on existing acceptance trends identified. Practically, these insights demonstrate the current trends for strategists and policymakers to understand technology adoption within the 4IR to direct efforts that support innovation development, an increasingly crucial factor for survival in the digital age. Future research can investigate the additional constructs that were impactful while considering the level of research they were applied to.

Although the impact of carbon emissions regulations is evident to upstream automakers, their influence on downstream B2C car-sharing platforms remains unclear. This article reveals the influence of carbon emission regulations on the performance of supply chain members. In particular, we focused on the decision of B2C car-sharing platforms.

We develop a three-stage dynamic game model consisting of an automaker, a B2C car-sharing platform and consumers.

The carbon emission cap has a critical threshold. Above this threshold, the regulation is ineffective for the platform’s operating model. Below it, the regulation affects the platform, moderated by customers' green awareness. The threshold initially decreases (weakly) and then increases in awareness. Effective caps reduce profits for the manufacturer, B2C car-sharing platform and supply chain, while ineffective caps see higher profits with increased awareness.

Firstly, this paper explores the impact of carbon emission caps on the operational strategies of B2C car-sharing platforms within the sharing economy, complementing existing research. Secondly, it identifies conditions where stricter caps prompt B2C car-sharing platforms to adjust their operational models and offers fresh insights for managers and departments responsible for carbon emission policy formulation. Thirdly, the study uncovers how carbon emission caps affect the performance of supply chain members, providing crucial managerial insights for sustainable operations.

Open access (OA) resources are free to access and help in research and teaching/learning, allowing libraries to manage resources more sustainably and effectively. Hence, this study aims to examine use of OA resources for economic sustainability among librarians in selected university libraries in Kwara State, Nigeria.

This study adopts descriptive survey research design. Using total enumeration sampling technique, a sample of 46 professional librarians were drawn from the selected universities. Questionnaire was used for data collection, and descriptive statistics was used for data analysis.

The findings show that most of the librarians had high level of awareness about OA resources. Results demonstrate that majority of the librarians used PubMed Central bi-weekly. Findings show that the librarians used OA resources to support academic research, enhance library’s collection without additional cost and facilitate information access for users with limited financial resources. Results indicate that most of the librarians perceived that OA resources impact library’s operational cost and goal of economic sustainability.

This study highlights the need for targeted training and resource development to enhance the effective use of OA resources. Meanwhile, the consistent usage of OA resources suggests the importance of the resources to librarians, aligning with previous studies on frequent use of established OA repositories.

This study provides evidence on the relevance and impact of OA resources use on economic sustainability, demonstrating the importance of OA resources in knowledge dissemination and fostering innovation.

The stormwater industry grapples with numerous environmental challenges resulting from producing and using storm materials. Green building materials (GBMs) offer a more ecologically friendly alternative to conventional construction materials. However, establishing criteria for selecting GBMs and assessing their sustainability has proven to be a complex endeavor. Therefore, this paper aims to assess the suitability of GBMs in stormwater management projects.

This study investigates and identifies the green storm drainage materials criteria based on previous literature and an extensive survey involving 140 stakeholders from the Egyptian industry, including facilities managers, asset managers, engineers and policymakers. A comprehensive model employing partial least squares structural equation modeling and artificial neural network is developed to assess the suitability of GBMs in stormwater management projects.

The study’s findings emphasize the pivotal role of social factors in the practical implementation of green material selection criteria. Understanding the intricate interplay among economic, environmental and social dimensions becomes crucial as stakeholders in the stormwater industry navigate the transition toward sustainable storm materials.

This research highlights the importance of integrating social factors into decision-making, contributing to more holistic and effective strategies for sustainable stormwater management. The study’s originality lies in its innovative approach to assessing the suitability of GBMs in stormwater management projects and its novel insights into the complex dynamics of sustainable materials selection, addressing a significant research gap in the field.

Despite the fact that entrepreneurs often tackle environmental, political and social causes, in the entrepreneurial literature the focus is most often on entrepreneurial self-efficacy. However, the role of other task-specific skillsets in entrepreneurial intention and the relationship of these skillsets with entrepreneurs’ social identity have been largely ignored in the literature. As entrepreneurial success requires strong interpersonal skills and the dominant aim of some entrepreneurs is to tackle social causes, we theoretically and empirically investigate for whom and why social self-efficacy can be an important predictor of entrepreneurial intention.

We examined the mediating role of entrepreneurial and social self-efficacies in the relationship between entrepreneurial social identity and entrepreneurial intention. The empirical analyses of this study are based on a sample of 1,006 Hungarian individuals. An online questionnaire was used to gather the data. PROCESS macro v4.1 (bootstrap samples 5,000) for Statistical Package for the Social Sciences (SPSS) was applied with models 4 and 6 to test whether social and entrepreneurial self-efficacies mediate the relationship between entrepreneurial social identity and entrepreneurial intention.

The findings indicate that the effect of Darwinian social identity on entrepreneurial intention is fully mediated by entrepreneurial self-efficacy. Both social and entrepreneurial self-efficacies fully explain the association between Communitarian social identity and entrepreneurial intention. However, future Missionaries anticipate the need for other task-specific skills beyond social and entrepreneurial skills to become an entrepreneur and achieve entrepreneurial success.

The study extends the entrepreneurship literature by showing that individuals’ entrepreneurial social identity and task-specific self-efficacies are intertwined in influencing the intention to create different values through entrepreneurial activities. The results also indicate that following the proliferation of the roles entrepreneurs undertake, next to entrepreneurial self-efficacy, other task-specific self-efficacies should be considered when studying the antecedents of entrepreneurial intention.