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Despite the burgeoning research on mass incarceration, women are rarely its focus. Racialised women, whose rates of incarceration have increased more rapidly than other groups, are at the best marginal within much of this literature. Within juvenile justice systems, racialised girls and young women are also disproportionately criminalised and remain markedly over-represented but are often overlooked. The absence of racialised women and girls from dominant accounts of punishment and incarceration is a matter of epistemological, ethical and political concern. Intersectionality offers one means to treat racialised women and girls as focal points for research and advocacy directed towards a reduction in criminalisation and incarceration. While intersectionality does not determine how the knowledge produced is deployed, recognising those who have been unrecognised is a necessary first step in striving to bring about positive change through praxis. Flawed mainstream accounts are unlikely to generate strategies that are well-aligned with the needs and interests of those who remain largely invisible.

Members in a supply chain account for corporate social responsibility (CSR) in different ways. This paper considers a socially responsible supply chain in which the manufacturer innovates in a sustainable product while the retailer exhibits CSR concerns. This paper aims to investigate how socially responsible behavior, namely, sustainable innovations or CSR concerns, affects the pure profit, environmental impact and social welfare, in such a socially responsible supply chain.

This paper first constructs an integrated case as a benchmark and then develops a Manufacturer-Stackelberg game in a decentralized scenario. The pure profit, environmental impact and social welfare are confirmed and analyzed in centralized and decentralized cases. Moreover, two unique coordinating contracts, i.e. wholesale price discount contract and revenue-sharing contract, are used in this socially responsible supply chain.

Analytical analysis shows that, under certain conditions, the optimal CSR strategies hold for maximizing pure channel profit, minimizing environmental impact and maximizing social welfare. Whether the performance in a centralized case outnumbers that in a decentralized case depends on the CSR concerns level and environment-friendly degree of the product. In addition, it is found that a wholesale price discount contract is better for the retailer whereas a revenue-sharing contract is better for the manufacturer in pure profit to improve coordinating efficiency.

These results can offer managerial implications to the socially responsible supply chain in terms of pricing decisions, CSR strategies and sustainability innovations. Specifically, under certain conditions, placing more CSR concerns level increases pure channel profit and the social welfare. A balance between the pure profit and the social welfare is hereby achieved for the two socially responsible individuals by designing a proper contract.

To the best of the authors’ knowledge, this paper is among the first studies so far to combine the CSR concerns strategy and sustainability innovation into a socially responsible supply chain.

Managerial decision making regarding using organizational forms methodology to develop technological innovations in the context of technological strategy has not been the subject of a prolific number of studies; nevertheless, it has proven to be an important matter. This is particularly notable in the Iberoamerican context, where a theoretical framework has not been developed yet. It is within such a context that this empirical research intends to determine the organizational forms used by companies of the machine‐tool sector of the Basque Country in their implementation of processes of technological innovation. This research is supported by the theoretical framework provided by transaction cost economics, evolutionary economics, and competitive strategy theories. It also uses the contrasting approach as a starting point for proposing some extensive ideas on this issue.

The purpose of this study is to use the method of lines to solve the two-dimensional nonlinear advection–diffusion–reaction equation with variable coefficients.

The strictly positive definite radial basis functions collocation method together with the decomposition of the interpolation matrix is used to turn the problem into a system of nonlinear first-order differential equations. Then a numerical solution of this system is computed by changing in the classical fourth-order Runge–Kutta method as well.

Several test problems are provided to confirm the validity and efficiently of the proposed method.

For the first time, some famous examples are solved by using the proposed high-order technique.

This paper aimed to examine the relationship between green logistics management (GLM) practices and export intensity of Thai SMEs in food and drinks manufacturing. The research involved carrying out in-depth interviews with ten experts to shed light on factors of GLM practices. The authors used a questionnaire to survey the data amongst 89 SME exporters through purposive sampling with valid 52 responses. The managerial issues related to export intensity, GLM practices, with regards to whether firms followed ISO 14001 and whether they had an employee(s) responsible for environmental management. The findings suggest that greater GLM practices being applied lead to higher export intensity in SME. The results indicate that most SMEs apply GLM practices in all dimensions to gain the benefits from the export market. It also emerged that those following ISO 14001 and/or having an employee(s) were associated with having higher export intensity than those who did not engage in these practices.

Purpose – This chapter illustrates how agent-based modeling (ABM) simulations may be incorporated into future emerging market research so as to build and strengthen existing and new theory. The area of strategy and organizations has used cellular automata, NK landscapes, and network simulations, but international business has rarely entertained their use. This is a loss for the area because emerging markets are rapidly growing and changing while research lags behind. Emerging markets are extremely complex environments best studied using simulations as complementary to existing research tools.

Design/methodology/approach – This chapter divides emerging market studies into three main areas including (1) foreign direct investment, (2) governance structures, and (3) international trade exporting. Through a discussion of the existing research in each of these areas, research opportunities applying ABM are identified. Illustrations allow explanation of the three agent-based simulation methods, as mentioned, based on previous ABM research in strategy and demonstrate how ABM may be applied to future emerging market studies.

Findings – A main insight is that ABM could lead to the rapid catch-up and improvement of emerging market research, especially when data for empirical work is limited, nonexistent, or prohibitively expensive to gather. ABM does not replace empirical work, but past research can be clarified and early theory developed so that if data becomes available, empirical work can be sharp and quickly realized having strong theoretical guidance.

Originality/value – This work, aimed at emerging market researchers, uniquely highlights why and how simulation tools are required and may be used in emerging market research.

The purpose of this study is to examine how individual dimensions of green supply chain management (GSCM) practices affect firms’ financial performance directly and through environmental performance. Furthermore, the authors investigate the contingent role of institutional pressures on the direct link between GSCM practices and environmental performance and GSCM practices and financial performance.

Using a convenience sampling technique, data were collected from 238 textile firms in the province of Punjab, Pakistan. Hayes’ PROCESS macro was used to analyze the hypotheses.

The findings demonstrate that GSCM practices (green manufacturing, green purchasing, eco-design, cooperation with customers and green information systems) have a significant direct impact on firms’ financial performance directly and through environmental performance. Additionally, institutional pressures significantly moderate the nexus of GSCM practices-environmental performance and environmental performance-financial performance.

Textile firms should implement GSCM practices not just because of the pressure from regulatory bodies but also to elevate their environmental and financial performance. Government should also play its role in influencing the organizations for the adoption of GSCM practices, as its role is a significant one in preserving the environment.

Because of less emission, energy usage and wastage, environmental performance will be increased, which affect the society positively.

Along with studying the GSCM practices in the textile industry of Pakistan, drawing upon the institutional theory, the contingent role of institutional pressures on two stages (first, between GSCM practices and environmental performance, and secondly, between GSCM practices and financial performance) is the novelty of this study.

This study aims to explore the impact of blockchain announcements on enterprises' stock market value.

Based on resource-based theory, this study constructs a complete framework of the impact mechanism of blockchain announcements on the stock price of the announcing firm using the data of 143 blockchain announcements. An event study methodology is used in this research, and the market model, market-adjusted model and Carhart four-factor model are used to estimate stock abnormal returns after the blockchain announcement; and the cross-sectional regression model is used to test the influencing factors.

Blockchain announcements elicit a significantly positive market reaction on the release day. Compared to announcements not pertaining to technical innovation, blockchain technical innovation announcements exhibit a more positive market reaction towards the announcing companies. Strategic-level announcements exhibit a more positive market reaction than operational-level announcements. Enterprise characteristics, such as enterprise-scale and enterprise innovation ability, do not affect stock market reactions to blockchain announcements.

The findings reveal the economic value of conducting blockchain activities in the Chinese stock market. Findings of this study can help managers understand the value of implementing blockchain activities in a different market environment and guide them on how to improve the market value of their enterprises through the active implementation of blockchain activities.

To the best of the authors’ knowledge, this is the first event study to focus solely on the value of pure blockchain announcements in an emerging market. This study considers multiple resource and capability factors that would influence blockchain technology adoption, improve the current understanding of how blockchain announcements affect corporate stock prices and provide directions for future comparative studies of market reactions to blockchain announcements in different stock markets.

This study aims to explore the impact of supply chain quality event (SCQE) announcements on enterprises’ stock market value.

This study adopts the event study approach and analyzes the changes in shareholder value of companies listed in China based on data from 118 SCQE announcements. In the event study, the market, market-adjusted and Carhart four-factor models are used to estimate abnormal stock market returns, and a cross-sectional regression model is performed to examine the effects of SCQE announcements on enterprises’ stock market value.

SCQE announcements have a negative impact on shareholder value. From the perspective of the supply chain network structure, the market reacts more negatively to SCQE announcements issued by the enterprises with higher supply chain concentration. From the perspective of companies’ characteristics, announcements that do not reflect the establishment of supply chain quality cooperation have a more negative effect on stock market value, which indicates that the supply chain network structure and firm-level characteristic can moderate the market reaction.

The findings demonstrate a quantitative evaluation of how SCQE announcements affect the stock market value of listed companies and provide guidance for managers to enhance the value of SCQE announcements.

This study fills the research gap on the impact of SCQE announcements on stock market value by using secondary data and first explores the relationship between SCQE announcements and stock market value from the perspective of supply chain network. Furthermore, this study contributes to the literature on SCQE using an empirical study in China.

The purpose of this study was to examine the impact of strategic leadership (SL) on business operational resilience (OR) in the hotel industry in Egypt, namely, during and after the pandemic. This investigation also aimed to explore the mediating function of crisis response strategies (CRSs) and organisational e-readiness (Oe-R) in this relationship.

The researchers conducted a cross-sectional study using a questionnaire as the primary data collection method. Using partial least squares structural equation simulation (PLS-SEM), the study used a comprehensive sample that targets the general managers of all five-star hotels in Egypt.

Results indicated that SL has a positive impact on CRSs and Oe-R. Furthermore, the results reveal a positive influence of Oe-R on both CRSs and hotel OR. On the other hand, CRSs do not influence hotel OR. The findings showed that CRSs fully mediate the link between SL and OR. However, CRSs do not serve as a mediator between Oe-R and OR. Furthermore, the findings showed that Oe-R partially mediates the link between SL and both OR and CRSs.

The study yields unique and valuable theoretical and practical insights to guide hotel leaders and managers towards adaptive recovery and resilience in turbulent and crisis-ridden environments by demonstrating that the combined mediating function of CRS and Oe-R is more effective in strengthening the relationship between SL and OR.

This study represents a pioneering investigation that establishes a correlation between SL and OR, either through direct or indirect means. The research examines the involvement of CRSs and Oe-R as collaborative mediators in this relationship. Previous studies undertaken in the hotel industry and service sector have not investigated this specific element.