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The purpose of this study is to explore growth models based on “industry-based capabilities”, “resources-based capabilities” and “institution-based capabilities” in the context of the determinants of micro, small and medium enterprises’ (MSMEs) actors’ intention to grow.

This study involved 188 owners/managers of MSMEs. The analysis was conducted using partial least squares structural equation modelling. Moreover, the importance-performance map analysis package is used to complement the study findings.

This study uses the framework of the resource-based view (entrepreneurial knowledge), industrial-based view (industrial linkage) and institutional-based view (government support and access to finance) as proxies of the tripod-based view framework. The findings show that entrepreneurial knowledge (skills, competencies and functional), government support, access to finance and industrial linkage (vertical and horizontal) significantly encourage MSMEs’ owner/manager growth intention.

Firstly, this study suggests that MSMEs actors focus on developing entrepreneurial knowledge to boost the skills, competencies and functionalities needed to improve their business capabilities, directly affecting their growth intention. Secondly, this study indicates that the growth intention of MSME players, besides increasing internal capacity, must also be supported by the external environment, such as financial institutions, government and industrial linkage.

This study offers a tripod-based view as a framework for MSMEs’ actors’ intention to grow, where the constructs in the model used so far have not been explored comprehensively in the context of MSMEs. So, the built model brings more relevant factors to explain this topic from various perspectives.

Different information sharing mechanisms and online platform information sharing to different charging models are compared and analyzed.

This paper uses the Stackelberg game model to study the demand information sharing and pricing decisions.

The results show that: (1) the retailer's pricing strategy is the highest when both of them obtain information, while the manufacturer's pricing strategy is affected by the related attributes of different products, such as the sensitivity of consumers to product prices; (2) in the online platform sales model, the demand information data sharing owned by the online platform can bring more expected profits to the whole supply chain and the members of the supply chain, and the higher the accuracy of the information, the higher the expected profit; (3) when the cost of obtaining demand information is zero, that is, the online platform shares the information data about market demand free of charge, the retailer and manufacturer tend to obtain information; (4) for the online platform, charging a certain fee can achieve higher expected profits than free sharing.

Based on the single platform online sales model, this paper uses the Stackelberg game model to study the demand information sharing and pricing decision of a manufacturer and a retailer selling products through the same online platform.

The aim of this review is to present together the studies on textile-based moisture sensors developed using innovative technologies in recent years.

The integration levels of the sensors studied with the textile materials are changing. Some research teams have used a combination of printing and textile technologies to produce sensors, while a group of researchers have used traditional technologies such as weaving and embroidery. Others have taken advantage of new technologies such as electro-spinning, polymerization and other techniques. In this way, they tried to combine the good working efficiency of the sensors and the flexibility of the textile. All these approaches are presented in this article.

The presentation of the latest technologies used to develop textile sensors together will give researchers an idea about new studies that can be done on highly sensitive and efficient textile-based moisture sensor systems.

In this paper humidity sensors have been explained in terms of measuring principle as capacitive and resistive. Then, studies conducted in the last 20 years on the textile-based humidity sensors have been presented in detail. This is a comprehensive review study that presents the latest developments together in this area for researchers.

Stainless-steel electromagnetic shielding (EMS) fabrics are widely applied as protective materials against electromagnetic interference (EMI). However, these fabrics primarily shield electromagnetic waves through reflection, which can lead to the formation of resonance effects that severely compromise their protective capabilities and potentially cause secondary electromagnetic pollution in the external environment.

In this paper, carbon nanotube fibers are added via spacing method to replace some stainless-steel fibers to impart absorbing properties to stainless-steel EMS fabric. The shielding effectiveness (SE) of the EMS fabrics across various polarization directions is analyzed. Additionally, a spacing arrangement for the carbon nanotube fibers is designed. The EMS fabric with carbon nanotube fibers is manufactured using a semi-automatic sample loom, and its SE is tested using a small window method test box in both vertical and horizontal polarization directions.

According to the experimental data and electromagnetic theory analysis, it is determined that when the spacing between the carbon nanotube fibers is less than a specific distance, the SE of the stainless-steel EMS fabric significantly improves. The fabric exhibits stable absorbing properties within the tested frequency range, effectively addressing the issue of secondary damage that arises from relying solely on reflective shielding. Conversely, as the spacing between the carbon nanotube fibers exceeds this distance, the SE diminishes. Notably, the SE in the vertical polarization direction is substantially higher than that in the horizontal polarization direction at the same frequency.

This study provides a new path for the development of high-performance EMS fabrics with good wave-absorption characteristics and SE.

This paper aims to assess the effects of external governance mechanisms on the performance of microfinance institutions (MFIs) in Togo.

Using annual time series data from a sample of 30 MFIs during the period 2011–2015, the authors apply panel data econometrics in their estimations.

The results indicate that the notation by a rating agency positively and significantly affects the financial return of MFIs. The quality and the regularity of the audits negatively and significantly influence the financial performance (measured by return on assets and operating self-sufficiency) but favorably and significantly influence social performance (increased number of active borrowers (NAB) and reduced size of loans). Furthermore, supervision increases the amount of individual loans but decreases the NAB, which means deterioration in social performance. Overall, this paper shows that external governance mechanisms significantly affect the performance of Togolese MFIs, but with varying effects depending on the mechanism considered.

The sample size of 30 MFIs is small, and the geographic coverage of the study is restricted to MFIs operating in the city of Lomé, Togo. The authors did not have access to the information regarding the portfolio at risk at 30 days, even though it is a measure of financial performance. Likewise, we did not have access to the appendices to the financial statements for the calculation of prudential ratios. This method, which consists of asking the institutions using a questionnaire if they comply with prudential standards, may be biased because this study cannot verify the authenticity of the responses given that the standards are quantitative.

The study findings advocate that improving the financial and social performance of MFIs requires improving the quality of external governance mechanisms. MFIs should then pay close attention to well-functioning external governance mechanisms.

As MFIs are key social actors in a society, all mechanisms that contribute to their efficiency benefit society.

This study contributes to the corporate governance literature by showing that external governance mechanisms influence performance. These external mechanisms are complementary disciplinary measures to internal governance mechanisms and other tools.

The scaling of social initiatives is of immense importance for public innovation. A key factor in the scaling process is the institutional environment, which plays a key role in supporting and coordinating the scaling process. This environment can be either homogeneous or heterogeneous, i.e. dominated by a few or a variety of public organizations, norms and practices. Both environments have advantages and challenges. However, the academic understanding of the influence of the institutional environment is limited, and a systematic empirical assessment of the relationship between the type of environment and scaling is lacking. The purpose of this paper is to explore the influence of homogeneous and heterogeneous environments on the scaling process of social initiatives.

A comparative qualitative study was conducted in the Dutch social sector, including 48 in-depth interviews with initiators and organizations operating in three different domains – a homogeneous, heterogeneous or mixed environment – in the public sector.

Homogeneous environments are less supportive of scaling social initiatives than heterogeneous environments, as sharing best practices and collaborating with less-familiar organizations is not common. Heterogeneous environments, however, do not provide coordination of the scaling process, with the risk that public funds are used less efficiently and effectively. Institutional environments with a balance of homogeneity and heterogeneity are best suited for scaling social initiatives.

By combining literature from different research areas and conducting extensive empirical research in different domains of the social sector, the authors' study provides a broad and nuanced picture and brings precision to the authors' understanding of the relationships between the institutional environment and scaling in the public sector.

The purpose of this study is to use liposome technology in the treatment of fabrics textiles because of its efficient energy saving, reducing time and temperature.

The newly prepared lecithin liposome was used to encapsulate dyes for the purpose of increasing dyeing affinity. Different ratios of commercially available lecithin liposomes (1%, 3%, 5% and 7%) were used simultaneously in the dyeing of cotton and wool fabrics. The treated fabrics (cotton and wool fabrics) were confirmed using different analytical procedures such as scanning electron microscope (SEM), Fourier-transition infrared spectroscopy, ultraviolet protection factor, colour strength (K|S) measurements and fastness measurements.

The results show that increasing liposome ratios in dyeing baths leads to increased dyeing affinity for cotton and wool fabrics compared with conventional dyeing without using liposomes. In addition to that, the colour strength values, infrared spectra, SEM and fastness properties of non-liposome-dyed fabrics and liposome-dyed fabrics were investigated.

The research paper provides broad spectrum of green encapsulation fabrics using liposome technology to perform the dye stability, dye strength and fastness.

Although scholars argue that artificial intelligence (AI) represents a tool to potentially smoothen the bullwhip effect in the supply chain, only little research has examined this phenomenon. In this article, the authors conceptualize a framework that allows for a more structured management approach to examine the bullwhip effect using AI. In addition, the authors conduct a systematic literature review of this current status of how management can use AI to reduce the bullwhip effect and locate opportunities for future research.

Guided by the systematic literature review approach from Durach et al. (2017), the authors review and analyze key attributes and characteristics of both AI and the bullwhip effect from a management perspective.

The authors' findings reveal that literature examining how management can use AI to smoothen the bullwhip effect is a rather under-researched area that provides an abundance of research avenues. Based on identified AI capabilities, the authors propose three key management pillars that form the basis of the authors' Bullwhip-Smoothing-Framework (BSF): (1) digital skills, (2) leadership and (3) collaboration. The authors also critically assess current research efforts and offer suggestions for future research.

By providing a structured management approach to examine the link between AI and the bullwhip phenomena, this study offers scholars and managers a foundation for the advancement of theorizing how to smoothen the bullwhip effect along the supply chain.

This aim of this study is to identify the ways of helping public authorities bring about change to environmentally sustainable household food practices.

The authors identified the practices involved in this concept from the consumer perspective and measured their diffusion among French households. The analyses were conducted following two successive data collection campaigns comprising 571 and 501 respondents in France. The methodology involved two complementary scaling techniques: factor analysis and item response theory.

The results show that consumers understand sustainable food through five food practices: buying and cooking products with sustainable attributes, anti-waste storage, self-production, plant protein consumption and anti-waste cooking.

The findings suggest that while at the individual level people appear to have incorporated anti-waste practices into their daily lives, at the household level, there is still work to be done for improving diets and stimulating the production of home-grown food. It is also worth noting that the emerging vision typically involves sustainable foods that are organic, locally grown, seasonal, based on fair trade and packaging-free.

The purpose of this paper is to propose a new service framework for managing nature and physical resources that balances the needs of people and planet.

The process used in this paper was a rapid literature review and content analysis of 202 articles in service journals and learned that there are limited papers on Sustainable Development Goal (SDG) #6 (clean water and sanitation) or SDG #7 (affordable and clean energy) and very few articles on SDG #12 (responsible production and consumption) that focused on environmental components of services. This highlighted the need to conceptualise a service framework for managing these resources sustainably.

The proposed regenerative service economy framework for managing natural and physical resources for all humans (without harming the planet) reflects insights from analysing the available service articles. The framework draws on the circular economy, an Indigenous wholistic framework and service thinking to conceptualise how service research can manage natural and physical resources in ways that serve both people and the planet.

This paper introduces the regenerative service economy framework to the service literature as an approach for guiding service researchers and managers in sustainably managing natural and physical resources in a sustainable way.