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This paper presents an historical reconstruction of the radicalisation of Alan Fox, the industrial sociologist and a detailed analysis of his early historical and sociological writing in the classical pluralist phase.

An intellectual history, including detailed discussion of key Fox texts, supported by interviews with Fox and other Biographical sources.

Fox’s radicalisation was incomplete, as he carried over from his industrial relations (IR) pluralist mentors, Allan Flanders and Hugh Clegg, a suspicion of political Marxism, a sense of historical contingency and an awareness of the fragmented nature of industrial conflict.

Recent academic attention has centred on Fox’s later radical pluralism with its “structural” approach to the employment relationship. This paper revisits his early, neglected classical pluralist writing. It also illuminates his transition from institutional IR to a broader sociology of work, influenced by AH Halsey, John Goldthorpe and others and the complex nature of his radicalisation.

Bringing together our analysis from the previous chapters allows us to lay out the various contradictions and issues surrounding ownership models that have arisen for fans of football clubs. Exactly when are most English football clubs supposed to have conformed to the normative model? Our analysis reveals that the context in which football clubs operate is that of global business and has developed in line with the practices of other businesses that exist outside the sporting arena. There is always going to be an uneasy tension between a fan ideal and something that has to operate within global contexts. However, in the modern game ideal and practice find themselves not merely in tension, but often completely in opposition to one another. Football finds itself in a position where something has to give, be it ownership models or the affective ties of the fans themselves. Fans can either continue to wrestle with the contradictions that arise from what they think their club is or fandom itself changes to embrace the context of the ownership. Given the moral injunction that is almost invariably built into the idealised image that fans have of their club, there is one question that we must always ask in the contemporary climate: How far is too far before all of this means nothing?

The link between SME performance, growth and development is well established; however, the characteristics of SMEs that allow firms to be successful in the long run in an underdeveloped country context, i.e. Pakistan, are still unclear. This paper aims to bridge this gap by identifying the SMEs’ characteristics that set them apart from their rivals and become successful.

This study uses Storey’s development framework to identify the SMEs’ characteristics. Data is gathered using the case study method from SMEs with a metropolitan context in Pakistan. A narrative methodological framework was used during the data gathering and analysing stages.

Findings of this study indicate that the prosperity of SMEs in Pakistan is dependent on a combination of characteristics, including entrepreneurial characteristics of owner–managers, knowledge of business operating models, social networks and relationship building and innovation in business style. Additionally, other factors such as governance structure, strategic planning of market diversification and export characteristics also influence the prosperity of an SME. These findings may have several important implications for key stakeholders, including entrepreneurs, SMEs and policymakers in the government.

This research provides evidence about factors that can help an SME to become successful in uncertain situations surrounding a business environment. Theoretically, the contribution of this research is that it demonstrates that entrepreneurial characteristics and the effective leadership style of owner–managers can help SMEs achieve prosperity in external unforeseeable situations.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.

The contemporary focus on extracurricular activities, here the educational incubator environment, accentuates a need to understand what we offer students in terms of the curricular and extracurricular learning environments when situated in the same higher education institution (HEI). Current research points towards breaking down the invisible barriers and silo thinking. In this conceptual study, we apply the Didaktik triangle as a theoretical and conceptual framing to make comparisons of structurally based conditions for curricular and extracurricular entrepreneurship education (EE). We present a framework that helps bridge the ‘what’, ‘why’, and ‘how’ questions in the two different learning spaces and, thereby, conjoin educators and consultants in possible pedagogical discussions on how they work with the students. The suggested bridge frames a wider ‘why’ and adds a more holistic and cohesive view of the two different types of settings. Our study contributes to the literature on how to bridge the blurred lines between curricular and extracurricular activities and break down the silos. The framework can act as an inspiration for entrepreneurship educators and practitioners who wish to provide more suitable and sustainable structures and develop a holistic learning environment.

This study aims to explore the self-efficacy of social studies teacher education working with lesbian, gay, bisexual, transgender and queer (LGBTQ) preservice teachers, teaching LGBTQ content in their methods courses, and helping the preservice teachers they teach in those classes reduce their bias and prejudice against LGBTQ individuals.

This study, framed by self-efficacy theory, employs a mixed methods approach, qualitative semistructured interviews (n = 6) and quantitative (Likert-scale) survey questions (n = 174).

Participants reported high self-efficacy in working with LGBTQ students but showed decreased efficacy in teaching about LGBTQ content and helping reduce preservice teacher LGBTQ bias. Participants suggested that time in the curriculum, lack of knowledge about LGBTQ topics/issues, and the lack of institutional support are some of the leading barriers to LGBTQ inclusion in the social studies teacher preparation curriculum.

This is the only work conducted at this scale to examine social studies teacher educators' self-efficacy in LGBTQ-inclusion in methods courses. It has implications for increasing this self-efficacy to help make P-16 social studies education LGBTQ-inclusive.

Although situational crisis communication theory (SCCT) is centered on rationality and cognitive information processing, it ignores that people are also driven by irrationality and non-cognitive information processing. The purpose of this study aims to fill this gap by examining how gender stereotypes, based on perceived spokesperson sex influence the public’s perceptions of crisis response messages.

A 2 (industry type: automotive vs daycare industry) × 2 (spokesperson’s sex: male vs female) × 2 (crisis response appeal: rational vs emotional) between-subject online experiment was conducted to examine the effect of gender stereotype in crisis communication.

Results showed that either matching spokesperson sex with sex differed industry or matching sex differed industry with appropriate crisis response appeal can generate a more positive evaluation of the spokesperson and the organization. The results also revealed under which circumstances, the attractiveness of different sex of the spokesperson can either promote or mitigate people’s perceptions of the organization. Furthermore, when people are aware of a spokesperson’s sex, in a female-associated industry, a mismatching effect of a positive violation of a male-related stereotype overrides a matching effect of a female-related stereotype in crisis communication.

This study is among the first to identify how the gender of a spokesperson and industry type affect publics’ crisis response.

The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and classify cryptocurrency downsides using grounded theory and in-depth interviews. The study also analysed investors’ reluctance to invest in cryptocurrency. This pioneering qualitative study illuminates a deep and multifaceted criminal aspect of cryptocurrency.

The study conducted in-depth interviews with respondents who have experience and knowledge of cryptocurrency investments. The interviews were recorded and transcribed. The analysis was performed using the NVivo 14 software in the study.

The study specified two major types of cryptocurrency’s negative aspects: barriers and illegal usage. Barriers to cryptocurrency investment include technological, security, trust, market-related and regulatory reasons. Terrorist funding, money laundering, fraud and ransom payments are all examples of illegal usage. The results of the word cloud analysis are consistent with the overall findings of the survey, which highlighted illegal usage as a prominent negative element of cryptocurrencies. It is a key reason why cryptocurrency is not included in investing portfolios by investors.

The study’s findings provide useful insights for policymakers to develop better methods for successfully mitigating risks and ensuring responsible and sustainable usage of cryptocurrencies. In addition, the study could serve as a stepping stone for more cryptocurrency-related studies, contributing to the development of a more complete and nuanced comprehension of this emergent technology and its societal effects.

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”