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Some fairy tale characters have transcended their original fairy tale genre and their influence can be perceived in other fictional genres. One illustration of this is the character of Blue Beard. This story, written by Charles Perrault, was first published in 1697 (Hermansson, 2010, p. 2). It moved through several themes or topics from anxiety to money to the right of the husband and wives (Warner, 2014, p. 82). In Perrault's story, Blue Beard is conceived as a serial killer and a jealous husband. ‘Whatever the medium, whatever the date: in opera, cartoon, X-rated film or graphic novel, he is an archetypal serial murderer, terrifying and yet alluring’ (2015, p. 76).

The influence of this character and examples that carry, at the very least, remnants of Blue Beard can be clearly identified in several contemporary narratives. In the BBC television series The Fall (Cubitt, 2013), Jamie Dornan portrays a serial killer named Paul Spector. Alternatively known as the Belfast Strangler, Spector, like Blue Beard, has a wife and children who are unaware of his murderous spree. Another example of the attempted enforcement of extreme patriarchy can be seen in Cult, the seventh season of Ryan Murphy's American Horror Story anthology series. The season is dedicated to the 2016 US election between Donald Trump and Hillary Clinton (Raddish, 2017). In this fictional narrative Kai Anderson (Evan Peters) symbolises toxic masculinity and models patriarchal archetypes to create a cult and become a senator.

Through a contextual post-structuralist analysis of the aforementioned characters, this chapter intends to examine the representation and evolution of male character under the umbrella of the fairy tale ‘man’.

This paper aims to investigate the actual impact, mechanism and internal and external environmental adjustment effect of ESG performance on the persistence of green innovation using data from China’s A-share manufacturing listed companies from 2009 to 2021.

Panel data regression models are used to explore the effect of ESG performance of manufacturing enterprises on the persistence of green innovation. To examine the mechanism of ESG performance affecting the persistence of green innovation of manufacturing enterprises, this paper refers to the research of Wen and Ye (2014) and constructs an analysis framework of intermediary effect.

This research was funded by Shandong Provincial Natural Science Foundation, grant number ZR2023MG075 & ZR2024QE171.

There are a few more limitations to this study that might be discussed from the following angles: first, due to data availability, this paper examines the persistence of green innovation from the output perspective. The authors can expand the data sources in the future and investigate the input-output combinations in green innovation as a means of understanding its sustainability. Second, the mechanism studied in this paper includes management costs, entry of green investors and risk-taking ability. In fact, it is possible that ESG performance influences green innovation persistence in other ways as well; these can be investigated more in the future.

First, it concentrates on the persistence of green innovation in manufacturing enterprises, surpassing the quantitative aspect and thereby broadening the research scope. Second, by including the “management expense ratio,” “green investor entry” and “risk-taking” as mediating factors, the study delves deeper into the mechanisms through which ESG performance impacts the persistence of green innovation in manufacturing enterprises, further broadening the research scope. Third, this research incorporates the internal and external environments encountered by manufacturing enterprises into the analytical framework to investigate their adjustment effects in the process of ESG performance influencing persistent green innovation, thus widening the research perspective. Fourth, this study introduces the subdimensions of ESG performance, specifically environmental responsibility, social responsibility and corporate governance, and assesses their impacts on the persistence of green innovation in manufacturing enterprises, thus enriching the research narrative.

Digital technologies over time are becoming increasingly pervasive and relatively affordable, finding a large diffusion in Small and Medium Enterprises (SMEs) also for internationalization purposes. However, less is known about the specific mechanisms by which this can be achieved. Specifically, we focus on how SMEs can face the international environment, leveraging digital technologies and thanks to their intellectual capital (IC).

We analyze the relationship between digital technologies and the internationalization of SMEs, exploring the mediating role of IC in its three dimensions: human, relational and innovation capital, and assessing the possible moderating effects posed by international institutional conditions, specifically the Sino-US trade frictions. The relationships are tested using a sample of companies listed on China’s A-share Growth Enterprise Market (GEM) from 2010 to 2021.

Digital technologies help to internationalize SMEs. However, this positive relationship is affected (mediated) by the presence of an already consolidated IC. In addition, the institutional conditions of the international market, such as the Sino-US trade friction, moderate the components of IC differently. Specifically, the overall mediating effect of human and relational capital is boosted, while this does not happen for innovation capital.

First, this study contributes to the literature on organizational resilience, especially digital resilience, confirming its validity in the context of internationalization and, in particular, those processes adopted by SMEs. Second, we clarify the mechanisms through which digital technologies exert their impact on the process of internationalization and in particular the prominent necessity of having IC. Third, our conclusions enrich the understanding of how IC components react to turbulence in international markets.

This paper aims to discuss the scholarship over the past 30 years on what used to be called Melanesian warfare or “tribal fighting” and is termed in this paper “intergroup conflict” in the Highlands of Papua New Guinea. The paper categorises the drivers of intergroup conflict that make up the landscape for conflict in the Highlands. It starts with cultural factors and the understandings about conflict that have long been used to explain such violence, then adds newer factors. It argues that while the individual existence of each driver is important, far more important is the way in which they interact with each other in reinforcing feedback loops that propel the actors involved towards violence.

The paper is based on a thorough review of the scholarly and grey literature on the topic, drawing from the fields of anthropology, criminology, political science, law, justice and peacebuilding.

The overall finding of the paper is that the nature of intergroup conflict, its scale and dynamics, has changed considerably over the past 30 years, most prominently in the entanglement of the state with local-level conflicts. This has significantly affected the nature of intergroup conflict today, deepening the attractors towards violence and conflict, while weakening the ability of existing state and non-state systems to prevent it. The picture that emerges is one in which the interconnectivity of factors promoting violence has intensified, the rate of change is accelerating and levels of violence are amplified.

This paper is an original work.

This case study was developed using publicly available published sources like the company’s website, articles, blogs, videos, filings, etc. Multiple sources were used to put together the chronology, quotes and details. This case is not disguised. All the key figures in the case study are identified by their real names.

Black Girls Code (BGC) was founded by Kimberly Bryant (Bryant, she) as a nonprofit organization in 2011. BGC conducted workshops and programs to teach young girls of color technology, science, engineering and math and train them in Web design, developing apps and robotics. It aimed to address the lack of diversity in science and technology. The organization has received support from tech giants like Google, Facebook and IBM. In one decade, the organization trained more than 30,000 girls and aimed to teach one million girls by 2040.

In 2021, the BGC board ousted Bryant, citing allegations of workplace impropriety. She was put on paid administrative leave by the board. This ousting was done in the aftermath of complaints by several employees who raised concerns about Bryant’s conduct. The former and current employees said that high turnover in the organization was due to Bryant’s leadership, which was rooted in fear, and that she would publicly insult managers. The board formed a special committee to evaluate the concerns and sent Bryant on administrative leave.

Cristina Jones, who succeeded Bryant as CEO, brought about several changes in the organization and expanded the scope of science, technology, engineering and math to include arts. She expanded the courses to include design, gaming and others. She was looking forward to launching one million black girls in tech by 2040. But before she could go on, she needed to ensure that the ouster of the founder did not hinder the activities at BGC in any manner and also needed to address the concerns of employees, students and funders.

This case can be used to learn about nonprofits, the role of nonprofits in building an equitable society and nonprofit entrepreneurs. The objective is to understand how passionate entrepreneurs can create organizations that can make a high impact with limited resources but with ambition and vision for radical change.

This case also helps in learning the challenges encountered due to the rapid growth of startups and the role of the leader in handling such growth.

This case can be integrated into any of the existing courses or taken as a special case study to illustrate the gender and racial disparities that exist even in highly developed countries like the USA.

The Fourth Industrial Revolution is a prominent area of interest in the field of manufacturing that is bringing about revolutionary changes. In this study, the authors sought to determine whether professionals in academia or industry could have predicted the composition of advanced technologies associated with Industry 4.0 before Germany's Industrie 4.0 policy announcement. The purpose of this paper is to use the process for identifying technologies that can be included in industrial policy to improve national competitiveness in manufacturing.

Relevant documented research from 2000 to 2012 was identified and captured using a systematic literature review. The significant technological advancements during this period were analyzed to determine how technological innovations may have affected predictions about the future of manufacturing. The identified predictions were analyzed using an open-source natural language processing code that clustered relevant topics in the predictions that indicated common themes. The results were then compared to the ideas within “Industry 5.0”.

The results of this study showed that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution and could have been used to inform industrial policy that could accelerate technology adoption. Also, contrary to popular belief, the popular Industry 5.0 is a sematic exemplification of a concept already embedded within the origins of the Fourth Industrial Revolution.

By examining the provenance of the Fourth Industrial Revolution, lessons are learned that bring light to Industry 4.0 and the measures that can be taken to enable the advancements that it brings. The results of this study show that is would be wise for government policymakers to enact programs that monitor the manufacturing predictions coming out of academia and to analyze them aggregately using natural language processing as a means to identify the next evolutions and revolutions and to mobilize policymakers to enhance outcomes of enacting policy.

Despite high hopes for the realization of Industry 4.0, there has been little discussion about the technological innovations and events that occurred to enable it. To the best of the authors’ knowledge, this is the first study that has determined that an aggregate analysis of manufacturing predictions would have preemptively revealed the Fourth Industrial Revolution. The success of the methodology used in this study has theoretical implications in support of natural language processing (NLP) being used to inform national policy.

The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins, demanding urgent action. Existing returns management systems are often complex, time-consuming and costly, failing to address this issue effectively. In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. Therefore, the study proposes a framework that combines the theory of planned behaviour and Octalysis to identify intentions to reduce product return rates in the e-commerce business.

A qualitative exploratory research design using a multiple case study-based approach with in-depth interviews conducted with 96 varied stakeholders was used to provide insights into the behavioural aspects for reducing return rates in e-commerce.

The results reveal three facets of effective returns management in e-commerce. Customers and delivery partners prioritize return processes, policies and rewards, emphasizing efficiency. Meanwhile, mid- and strategic-level employees are optimistic about return process enhancements. Interdepartmental integration and cross-functional communication are found to be vital, suggesting the need for a gamified framework in returns management.

This research enriches the returns management literature on gamification solutions and responds to the need for theoretical anchoring by applying the theory of planned behaviour at the organizational level to improve efficiency and customer centricity in the return process.

This article demonstrates the reach of Tuhiwai Smith’s ideas across Pacific research. It discusses the theoretical and practical influence of her seminal work Decolonizing Methodologies: Research and Indigenous Peoples through “holographic epistemology”, an indigenous way of viewing knowledge.

The authors present a talanoa (Pacific-style relational conversation) to explore Tuhiwai Smith’s legacy for Pacific Islander researchers and research. The talanoa between two academics at different career stages draws upon personal and professional research experiences and peer-reviewed published sources to explore the expansive and enduring legacy of Tuhiwai Smith’s life and ideas.

Decolonizing Methodologies has helped Pacific Islander researchers flourish, and Pacific Island research approaches gain legitimacy in higher education. Its epistemological influence can be seen in research which utilises knowledge of body, mind and spirit – holographic epistemology – and in indigenous innovations to qualitative research.

This article has value for those seeking to understand the epistemological underpinnings of indigenous approaches to research. It has originality in its presentation as a talanoa between two researchers who have found affirmation and academic freedom with Tuhiwai Smith’s ideas. It is also original in offering a Pacific perspective from a Hawaiian and a Samoan academic about the immense koha (gift) they have received from a Maori tuahine (sister).

Fresh fruits and vegetables (FV) are crucial global food resources, but the presence of heat loads during harvest adversely impacts their shelf life. While freezing technology provides an effective means of removing heat loads, it is an energy-intensive process and may consequently prove too costly for practical business viability. The growing interest in utilizing magnetic field (MF) technology during the freezing of fresh FV enhances the freezing rate and rapidly removes the heat loads of products.

In the present study, pulsed magnetic field (PMF) pretreatment employing specific field strengths (9 T, 14 T and 20 T) was examined as a preliminary step before freezing mango and tomato and compared to the conventional freezing method (untreated) at − 18 °C.

PMF pretreatment prior to freezing demonstrated a noteworthy enhancement in freezing rate by around 10 and 12% when compared with the conventional (untreated) freezing, which exhibited freezing rates of −0.08 °C/min and −1.10 °C/min for mango and tomato, respectively. The PMF pretreatment (at 20 T) provided a higher freezing rate (at p = 0.05) than the conventional freezing method reduced heat loads amounting to 1.1 × 107 J/kg oC and 2.9 × 106 J/kg oC, significantly (at p = 0.05) from mango and tomato, respectively. These reductions in heat loads were approximately more than 5% of the calculated heat loads removed during conventional freezing.

Mango and tomato samples were only tested; the results may lack generalizability. Therefore, researchers are encouraged to test for other products for further studies.

The paper includes implications for the development of a rapid freezing technique, the development of “pulsed magnetic field” and for eliminating the problem associated with conventional (slow) freezing.

The study holds significance for the production of postharvest freezing technology, providing insightful information on the PMF-assisted freezing of cellular foods.

Under the “dual carbon” framework, the article explores the equilibrium points among the government, agricultural enterprises and village committees, and uses sensitivity analysis to reveal the dynamic factors affecting these stakeholders, thereby proposing methods to enhance agricultural disaster resilience.

The article uses MATLAB to construct a game model for the three parties with interests: agribusiness, government and village council. It examines the stability of strategies among these entities. Through graphical simulation, the paper analyzes the sensitivity of agricultural enterprises carbon emissions and village committees’ rent-seeking behaviors in the decision-making process, focusing on significant factors such as government carbon tax and regulatory policies.

A single government reward and punishment mechanism is insufficient to influence the strategic choices of enterprises and village committees. The cost of rent-seeking does not affect the strategic choices of enterprises and village committees. A key factor influencing whether the village committee engages in rent-seeking is the level of labor income of the village committee as an “intermediary”.

This paper focuses on the dynamic game between three stakeholders (the government, agricultural enterprises and village committees), seeking dynamic equilibrium and conducting sensitivity analysis through visualization to provide the government with optimal policy recommendations.