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Representations of female perpetrators of political violence contribute to society's thinking about women, gender, violence and agency. Analysis of this discourse is vital to understand its influence on society's knowledge of women and violence. The study investigates how gendered narratives are used to frame female ex-combatants in Nationalist and Unionist newspapers in the post-conflict society of Northern Ireland. The media is a central agent in the construction of knowledge; and this is significant for women who have perpetrated crimes or (political) violence. The existing research found that violent women are narrated and interpreted through gendered discursive frameworks to dismiss or make sense of their violence. However, in the Northern Irish case, although the women are constructed within gendered frames, this does not deny their agency in past political violence.

This chapter defines a learning culture and discusses the relationship between knowledge and learning. The authors explain why learning is essential to bringing knowledge to life and incentivizing knowledge flows and use. The chapter addresses the interplay between knowledge and learning cultures. A key point in the chapter is the value of mistakes as learning opportunities. The authors explain how mistakes are viewed in the industrial economy and how this perspective impedes critical organizational learning. Specifically, we define mistakes, explain the double cognitive bias of mistakes, explain the tendency and impact of hiding mistakes, the side effects of double mistake bias, learn to learn from mistakes, and take on the challenge of reconciling mistake acceptance and avoidance. Finally, the chapter addresses the importance of cultivating a learning climate to realize your learning culture.

Reading the political and the familial in The Americans illuminates central features of the New Right. In particular, The Americans provides an opportunity to reconsider the significance of the ‘pro-family’ label to New Right organising, the importance of mothering to the ‘pro-family’ narrative offered by the New Right, and the relationship between this account of mothering and democratic citizenship more broadly. This paper argues: first, the ‘pro-family’ label served to weaponise American families against equality and egalitarian public institutions; second, that this weaponisation of the family was accomplished through a rhetorical and real elevation of the moralised work of mothers in the home; and third, this account of mothering is incompatible with democratic citizenship not only because it reproduces inequality but also because it presents families, particularly mothers, as surrounded by enemies. Surrounded by enemies, their children appear endangered or dangerous should they become products of enemy forces. The pro-family rhetoric of the New Right – with its emphasis on the labour of women, particularly mothers – concealed an insurgent factional bid for power just as the Jennings family concealed an insurgent operation inside the United States. The displacement of law in The Americans mirrors the displacement of law in American conservative politics in the 1980s and law’s replacement by the ideal of sanctified families that the guard republic. The Americans both recognises this reversal in American conservative politics and parodies the reversal of the idea that law protects the family.

Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context.

The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed.

The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention.

The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption.

As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.

As B2B firms face increasing scrutiny due to increased stakeholder awareness of environmental and social concerns, doing business with a conscience has become an important imperative. Despite a growing focus on conscientious corporate branding (CCB), the construct has never been clearly defined, and many of the exemplars used to depict CCB have focused on a B2C context. The purpose of this research paper is to define CCB, to develop a framework that leaders can apply to build and manage a conscientious corporate brand and to demonstrate application of the components of the framework in the B2B context.

This study uses an exploratory approach and focuses on extant literature relating to operating with a conscience, including organizational purpose, ethical leadership, ethicalization of the organization, stakeholder co-creation, sustainability and corporate social responsibility.

This study shows how companies in a B2B context can use a framework that includes dimensions of purpose, ethics, stakeholder co-creation, sustainability and CSR to build a CCB through reconciling and integrating leadership and stakeholder perspectives to create and communicate sustainable and responsible behavior.

This study opens the door for further research into the actions required to build CCBs. There is a need to validate the CCB framework in future studies.

This study identifies how to build a conscientious corporate brand and applies it in the B2B context.

This study expands our understanding of CCBs by providing a definition and framework to guide scholars and practitioners. Given the paucity of focus on CCB in the B2B context, the authors exemplify the framework using B2B examples.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.