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The development of green manufacturing has become essential to achieve sustainable development and modernize the nation’s manufacturing and production capacity without increasing nonrenewable resource consumption and pollution. This study investigates the effect of green industrial practices on technical efficiency for Thai manufacturers.

The study uses stochastic frontier analysis (SFA) to estimate the stochastic frontier production function (SFPF) and inefficiency effects model, as pioneered by Battese and Coelli (1995).

This study shows that, on average, Thai manufacturing firms have experienced declining returns-to-scale production and relatively low technical efficiency. However, it is estimated that Thai manufacturing firms with a green commitment obtained the highest technical efficiency, followed by those with green activity, green systems and green culture levels, compared to those without any commitment to green manufacturing practices. Finally, internationalization and skill development can significantly improve technical efficiency.

Green industry policy mixes will be vital for driving structural reforms toward a more environmentally friendly and sustainable economic system. Furthermore, circular economy processes can promote firms' production efficiency and resource use.

To the best of the authors' knowledge, this study is the first to investigate the effect of green industry practices on the technical efficiency of Thai manufacturing enterprises. This study also encompasses analyses of the roles of internationalization, innovation and skill development.

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.

This study aims to analyse the importance of intellectual capital (IC) in networks formed by start-ups, with a view to obtaining resources that individually they would be unable to acquire.

To achieve this aim, a qualitative approach was adopted, and within this, the case study method was used. The data-collecting instrument was the semi-structured interview, held with the business-people/managers of five start-ups present in an incubator (Startup Rém) based in Portugal, and with the person in charge of this incubator, together with observation and documentary analysis.

From content analysis, the results suggest that the business people recognise the presence of IC at the moment of creating their business and that this is a means to attain sustainability and, consequently, business survival. The results also show that in the absence of network formation, the relation between the incubator and the incubated firms can be affected and limited, interfering directly with firms’ use of IC.

This research aimed to highlight the importance of IC as an essential resource for business survival and sustainability and to encourage start-ups to regard networks as a way to share and convey knowledge. This study also intends to help firms understand the role of cooperation and mutual assistance in seeking sustainability and economic growth.

This study is innovative because it has filled the gaps identified in the literature, particularly the absence of studies on the importance of IC in networks formed by start-ups, and the study of the impact of IC on firms focussing on cooperation networks.

Cultural criminologists have long been interested in the politics of crime and deviance, whether that be in relation to youth subculture resistance or the social reaction to transgression evident in the media construction of folk devils and moral panics. While contemporary ‘new’ cultural criminology continues to be focused on the situated experience of deviant ‘edgeworkers’, this chapter argues cultural criminology’s concern with the crime-media nexus provides particularly fertile ground for exploring insights provided by activists, academics, professional journalists and citizen journalists around informal interventions on formal criminal justice processes using social media and digital technologies. Drawing on examples from a burgeoning body of crime-media research, the chapter makes a case for ‘cultural criminology activism’, which, like activist criminology, is consciously disengaged from mainstream criminology’s alignment with the neoliberal-carceral state and its reformist agenda.

Relying on social influence and sociomateriality theories, this research provides new insights about the social and material drivers relating to the sexualisation of online behaviour of social media influencers.

Using a netnographic approach, observation data were gathered from the Instagram accounts of 20 influencers dedicated to beauty and fashion. In addition, 15 in-depth interviews were conducted with women adopting sexualisation practices online. The data were analysed using an abductive strategy; all materials were coded according to thematic analysis principles.

The authors observe that sexualisation is a result of a complex system of social interactions encouraged and reinforced by multiple factors and actors. In particular, the authors outline the major influence of technology that has become a non-human authority defining implicit norms and shaping the beliefs and behaviours of women influencers.

In contrast to existing literature which mainly focuses on the negative consequences of sexualisation, this work sheds some light on social constructs in social media. The authors contribute to the growing literature on social media influencers. Although many works focus on their persuasiveness, this work helps to better understand the social setting, motivations and pressures that are contained in social and technological contexts.

Construction workers’ safety compliance is attracting considerable critical attention as it plays a decisive role in improving safety on construction sites. This study applied the concept of differentiating safety compliance into deep compliance (DC) and surface compliance (SC) and relied on trait activation theory to investigate the effects of situational awareness (SA) and emotional intelligence (EI) on safety compliance.

Cross-sectional survey data were collected from 239 construction workers in Australia, and these responses were statistically analyzed using the partial least squares structural equation modeling (PLS-SEM) to validate the proposed model.

Results revealed that both EI and SA positively impacted DC and negatively impacted SC. Moreover, SA partially mediated the link between EI and two types of safety compliance (DC and SC). The outcomes showed that construction workers’ ability in regulating their emotions could influence their perception of environmental cues and the effectiveness of safety compliance behavior.

This study sheds light on investigating the antecedents of DC and SC from the perspective of trait activation theory. The findings also have practical implications, stating that construction site managers or safety professionals should consider providing training on construction workers’ EI and SA to enhance their willingness to expend conscious efforts in complying with safety rules and procedures, which can lead to improved safety outcomes.

This chapter focuses on the middle level of organizations. It is a critical synthesis level for culture. The authors explain how this level is influenced by the higher and lower levels of the organizational culture. The authors discuss how factors from the higher and lower levels may affect this level. It is at this level that culture has the greatest effect on an organization’s business capabilities, and therefore its operations and performance.

Blockchain is an innovative and emerging technology that allows the structuring of open data in a secure and decentralized manner. This technology, coupled with artificial intelligence (AI), is a driver of digital transformation that permeates all sectors of the economy. In this context, it becomes relevant to understand the applicability of AI and blockchain in education, more specifically their use in higher education. Thus, the following problem arises: how can blockchain technology and AI be applied to higher education? To answer this problem, the following objective was set: to map by means of a scoping review how AI and blockchain can be applied in education as a technology for higher education. To this end, a bibliometric search was conducted in the Web of Science (WoS) and Scopus databases, adopting the PRiSM methodology for scoping review. The results showed that blockchain and AI can be used in higher education through a smart contract that serves to motivate teamwork and student involvement in activities performed in the school context and also to increase machine reliability by establishing a chain of information. It is also concluded that these technologies will help form a generation ready to work in a more collaborative way, adopting attitudes of sustainability in its local and global context for solving complex problems of everyday life in the 21st century.

The purpose of this paper is to analyze the multiple mediation role of both market orientation (MO) and marketing capabilities (MC) in the relationship between entrepreneurial orientation (EO) and performance (OP), given that the results of previous studies are not conclusive. Consequently, this relationship can be more complex than a direct relationship.

Using structural equation models, the proposed conceptual model is tested with data from 154 small and medium-sized enterprises (SMEs) in the low-tech manufacturing sector of an emerging Latin American country. Data analysis was performed using structural equations.

The results confirm that the relationship between EO and OP is not significant. Likewise, the roles of individual and sequential mediation of MO and MC in the relationship between EO and OP are confirmed.

The cross-sectional nature of the study. A longitudinal study could provide additional insights regarding the relationships among these variables and their effect on performance.

Guidelines help businesses in emerging markets to consider the importance of developing entrepreneurs’ MC and MO to optimize the impact of EO on OP.

Guidelines help public policymakers in emerging markets to consider the importance of developing entrepreneurs’ MC and MO to optimize the impact of EO on OP.

This paper contributes to understanding the complex relationship between EO and OP, which remains relatively underexplored in SMEs in developing countries (Buli, 2017), by analyzing the key role of OM and MC in a multiple mediation model not considered in previous empirical evidence.