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This paper aims to explore how psychological perceptions and family situations drive women into necessity- or opportunity-based female entrepreneurship (NBFE or OBFE) and the moderating role of gender equality.

This study adopts multilevel logistic regression analysis to examine relationships based on a sample of 6,843 women across eight developing countries drawn from the Global Entrepreneurship Monitor (GEM).

The findings suggest that capability and opportunity perceptions positively affect NBFE and OBFE. Family responsibility burden positively affects NBFE and has a U-shaped relationship with OBFE. Household income negatively affects NBFE but positively affects OBFE. Gender equality weakens the U-shaped relationship between family responsibility burden and OBFE but strengthens the positive relationship between capability perception and NBFE and between opportunity perception and NBFE.

The study highlights the need for targeted policies and support that consider the distinct antecedents and mechanisms of NBFE and OBFE, as well as the importance of promoting gender equality and entrepreneurial education to empower women in their entrepreneurial endeavors. A limitation of this study is the reliance on older data from the GEM, which may not fully capture the current dynamics of developing societies. While the study provides valuable insights, future research should incorporate more recent data to enhance the applicability of the results.

This study deepens the understanding of antecedents of NBFE and OBFE, breaking through the existing literature that neglects the heterogeneity of female entrepreneurship (FE).

The rise of digitalization brings new opportunities and challenges to female entrepreneurship (FE). This paper aims to systematically review the intellectual landscape of FE research, identifying gaps and proposing future directions.

A systematic literature review was conducted on 1,918 highly relevant articles on FE, which were retrieved from the Scopus and Web of Science up to 2023.

While cyberfeminism is a rising perspective, the impact of digitalization on FE remains underexplored. Antecedents of FE are predominantly examined at the individual, family, organizational and environmental levels, overlooking team-level factors. Studies predominantly focus on outcomes at a single level and within a country, neglecting FE’s cross-level and cross-national complexity and diversity. The static analysis of mediating mechanisms in existing research fails to capture the dynamic process of FE. Furthermore, contextualization research often isolates family, institutional, social and mixed embeddedness, neglecting the simultaneous multiple contexts in which female entrepreneurs operate.

To bridge gaps in existing literature, this paper introduces an integrated research framework for FE. It suggests future research directions encompassing the impact of digital intelligence, heterogeneity of different groups of female entrepreneurs, the multiple contextual embedded nature of FE, dynamic process mechanisms for FE and cross-cultural comparisons. The proposed framework aims to inspire new insights and contribute to the evolving field of FE research.

The purpose of this paper is to develop the micro-electro-mechanical systems (MEMS) technology has created the conditions for the study of microfluidic technology. Microfluidic technology has become a very large branch in the MEMS field over the past decade. For aerostatic thrust bearing, the micro-fluidic gas flow in a small-scale gas film between two parallel plates is the subject of many studies. Because of the thin gas in the film, velocity slip occurs at the interface, which causes the gas flow pattern to change in the lubricating film. So, it is important to clarify the mechanism and pressure characteristics in thin firm gas flow.

First, a new assumption and corresponding models for the flow regime were established by theoretical analysis. Second, computational simulations about pressure distribution and velocity were given by a large-scale atomic/molecular massively parallel simulator (LAMMPS). Third, comparison of the results of LAMMPS simulation and direct simulation Monte Carlo calculation were made to verify the reliability of above results.

The gas flow mechanism and corresponding regulations are significantly different from traditional pneumo dynamics, which can be described by Navier–Stokes equations accurately. Combining theatrical study and computational results, the stratification theory of the gas film was verified. The research shows that when the gas flow rate increased, the pressure of the gas film decreased, the thickness of the continuous flow layer increased, the thickness of the thin layer decreased and the layered pressure in the gas film disappeared. In this case, velocity slippage could be ignored.

First, this paper established an analytical model of the gas film support and proposed a film stratification theory. The gas film was divided into the near wall layer, the thin layer and the continuous layer, which was proved by the calculation of LAMMPS flow simulation. The velocity slip boundary conditions theory is feasible. Second, the gas film size of the flat plate is at the micron level, which cannot be observed in its flow regimen, only determined by calculation and simulation. This paper proposes a new model and a new tool to analyze gas flow in gas films.

This paper aims to investigate the differential moderating effects of two types (internal/external) of corporate social responsibility (CSR) on the relationship between distributive injustice and organization-directed revenge through the mediating role of negative emotions.

This paper conducts two studies. Study 1 was a vignette study based on a sample of 501 part-time master of business administration students in China aimed at testing the moderating effects of different levels of internal (external) CSR. Study 2 involved a laboratory experiment in which 108 postgraduate students were recruited to scrutinize the contrasting moderating effects of different types of CSR (internal vs external) and test the underlying mechanisms of negative emotions. The latest facial expression analysis technology (FaceReader 5.0 software) was used to detect participants’ emotional state.

Study 1 demonstrates that internal CSR buffers the relationship between distributive injustice and organizational revenge behavior through negative emotions. However, the moderating effect of external CSR is not significant. Study 2 reveals that compared with external CSR, distributive injustice induces fewer negative emotions in the presence of internal CSR and the mediating role of negative emotions detected by the facial expression analysis software is also verified.

The authors hope that the findings of this paper can provide theoretical references for enterprise managers to enhance their employee governance, develop more effective intervention policies and formulate corresponding coping mechanisms to prevent and mitigate workplace revenge behaviors.

First, this paper enriches the literature on the relationship between injustice and organization revenge by introducing CSR as an employee governance tool. Second, this paper reconciles prior inconsistent findings about employee response to CSR in the occurrence of negative events by distinguishing between external and internal CSR and examining the differential moderating effects of two types of CSR. Such distinction is derived from the heterogeneous justice perceptions arising from different CSR actions. In addition, the authors measure participants’ negative emotions through a multi-method approach integrating the latest technology for facial expression analysis and the PANAS scale, which represents a method advancement and provides implications for measuring emotions.

This bibliometric review aims to display visually the intellectual communities (i.e. the cooperation networks among various countries, institutions, journals and individuals), the intellectual structure (i.e. the status quo and development trajectory of the intellectual base) and emerging hot topics of the female entrepreneurship research in 1975-2018. Based on the comprehensive review of the state-of-the-science, this paper aims to identify significant research gaps in extant studies and develop potential future research agendas that may catalyse new streams of female entrepreneurship research.

Bibliometric analysis via science mapping provides in-depth analyzes, highlights the intellectual structure and identifies hot topics. Using CiteSpace, co-citation networks of contributing countries, institutions, cited journals and authors are mapped first. Second, co-citation network analysis helps to identify the key “nodes” in the intellectual structure. The landscape view identifies main clusters from an overall perspective, while a timeline view delineates the characteristics and evolution of focal clusters. Major clusters are interpreted in detail with the help of foam tree graph processed by Carrot. Finally, the co-occurrence network analysis is conducted by using VOSviewer to examine hot topics and research frontiers

The findings show that the publications of female entrepreneurship increase exponentially. The major driving force of female entrepreneurship research is from the USA and England. In terms of intellectual structure, key concepts behind different clusters represent the major milestones in relation to individual determinants of female entrepreneurship, the impact of cultural and contextual factors on female entrepreneurship and female entrepreneurship in non-OECD countries, as well as the impact of family, social and institutional factors on the survival and exit of male and female enterprises. Hot topics include financing sources, the embeddedness nature, the impact and environmental factors of female entrepreneurship.

This study presents important practical implications. The findings suggest that intellectual communities of the female entrepreneurship field are relatively loose. Close contact and cooperation among different countries, institutions and researchers are lacking. To promote the evolution of the field, researchers who belong to different institutions in different countries may need to strengthen contact and cooperation. Additionally, papers in journals from the business and management discipline are most cited in this field, preventing new knowledge from other disciplines flowing into the female entrepreneurship field. Accordingly, female entrepreneurship research journals may need to expand their focus and combine knowledge from various domains.

This bibliometric review provides a more comprehensive, systematic and objective review of the female entrepreneurship field. Previous qualitative reviews are typically based on personal judgement, while a few quantitative reviews only describe statistical data. This study is based on thousands of citation data rather than a small number of papers pre-selected by the researcher, thus, is more data-grounded and less biased than prior reviews. It expands previous reviews by transparently visualizing the underlying structure and evolution of the field. Moreover, it highlights significant gaps in extant studies and develops future research agendas to catalyse new streams of research.

The purpose of this paper is to develop a novel recommendation method using online reviews with emotional preferences for facilitating online purchase decisions. This leads to better use of information-rich online reviews for providing users with personalized recommendations.

A novel method is developed for producing personalized recommendations in online purchase decision-making. Such a method fuses the belief structure and the Shapley function together to effectively deal with the emotional preferences in online reviews and adequately tackle the interaction existent between product criteria with the use of a modified combination rule for making better online recommendations for making online purchase decisions.

An example is presented for demonstrating the applicability of the method for facilitating online purchase. The results show that the recommendation using the proposed method can effectively improve customer satisfaction with better purchase decisions.

The proposed method can better utilize online reviews for satisfying personalized needs of consumers. The use of such a method can optimize interface design, refine customer needs, reduce recommendation errors and provide personalized recommendations.

The proposed method adequately considers the characteristics of online reviews and the personalized needs of customers for providing customers with appropriate recommendations. It can help businesses better manage online reviews for improving customer satisfaction and create greater value for both businesses and customers.

U-commerce is an emerging paradigm transcending traditional e-commerce boundaries. The purpose of this paper is to highlight those issues that deserve attention in developing successful u-commerce models.

The interpretive structural model technique is adopted to construct a hierarchical structure, and the impact matrix cross-reference multiplication applied to a classification (MIC-MAC) approach is employed to analyze the effect and dependence among these factors.

The research shows that there exists a group of enablers having a high driving power and low dependence requiring maximum attention and of strategic importance, while another group consists of those variables that have high dependence and are the resultant actions.

Organizations that plans to develop a u-commerce model would be benefited from this study. They can understand the difference between the independent and dependent variables and their mutual relationships. This would help them to prioritize their budget and implement suitable strategies to cater to key variables so as to exploit the benefits of u-commerce.

Most of the GCC countries have very similar business environment. This research can easily be adapted to other GCC nations thereby saving the duplication of time, efforts and money.

This research was conducted in a developing economy in a GCC country which is very fast adopter of new technology. The findings of this study would serve as a guide to the businesses who are migrating to a u-commerce model in future.

This paper aims to develop flame-retardant (FR) polyamide 12 (PA12) nanocomposite from regenerated powder via selective laser sintering (SLS), an additive manufacturing technique.

First, the morphology, processibility, thermal and mechanical properties of PA12 regenerated powder, consisting of 50 wt% new and 50 wt% recycled powder, as well as corresponding printed specimens, were evaluated to characterize the effects of previous SLS processing. Second, flame-retardant PA12 was developed by incorporating both single and binary halogen-free flame retardants into the regenerated powder.

It was found that the printed specimens from regenerated powder had much higher tensile and impact properties compared to specimens made from new powder, which is attributed to better particulate fusion and coalescence realized in higher temperature SLS printing. The effect of FRs on thermal, mechanical and flame retardant properties of the PA12 composites/nanocomposites was investigated systematically. It was found that the nanoclay, as a synergist, improved both flame-retardant and mechanical properties of PA12. UL94 standard rating of V-0 was achieved for the printed nanocomposite by incorporating 1 wt% nanoclay into 15 wt% phosphinates FR. Moreover, on average, the tensile and impact strength of the nanocomposite were increased by 26.13% and 17.09%, respectively, in XY, YZ and Z printing orientations as compared to the equivalent flame retardant composite with 20 wt% of the phosphinates FR.

This paper fulfills the need to develop flame retardant parts via SLS technology with waste feedstock. It also addresses the challenge of developing flame retardant materials without obviously compromising the mechanical properties by making use of the synergistic effect of nanoclay and organic phosphinates.

The purpose of this paper is to introduce the new class ratio dispersion, the new smooth degree sequence and the comparison criterion of the new smooth degree and to propose the new prior check of grey modeling in order to meet the modeling demand of the optimized grey models which have the white exponential law of coincidence.

This paper introduces the corresponding new concepts and new comparison criterion which can reflect the approach degree of the raw data and the normal geometric progression by analogy with the traditional class ratio dispersion, smooth degree sequence and comparison criterion.

To the optimized grey models, the new concepts and the new comparison criterion can be regarded as the prior check of grey modeling.

First, the new concepts and the new comparison criterion can reflect the approach degree of the raw data and the normal geometric progression, and this paper proposes the prior check of grey modeling to the optimized grey models. Second, this paper proposes the quantificational valuation criterion – the concept of the smooth degree which can reflect the approach degree of a single sequence and the normal geometric progression, and ends the status quo that there is only the comparison criterion of the smooth degree between two sequences but not the quantificational valuation criterion of a single sequence.

The purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets (PFSs) in the Web of Science (WoS) from 2013 to 2020, to provide a conclusive and comprehensive analysis for researchers in this field, and to provide a study on preliminary understanding of PFSs.

The research topic of Pythagorean fuzzy fields, through keyword extraction and describing the changes in characteristic themes over the past eight years, are firstly examined. Main path analysis, including local and global main paths and key route paths, is then used to reveal the most influential relationships between papers and to explore the trajectory and structure of knowledge transmission.

The application of Pythagorean fuzzy theory to the field of decision-making has been popular, and combinations of the traditional Pythagorean fuzzy decision-making method with other fuzzy sets have attracted widespread attention in recent years. In addition, over the past eight years, research interest has shifted to different types of PFSs, such as interval-valued PFSs.

This paper implicates to investigate the growth in certain trends in the literature and to explore the main paths of knowledge dissemination in the domain of PFSs in recent years.

This paper aims to identify the topics in which researchers are currently interested, to help scholars to keep abreast of the latest research on PFSs.