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The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based encounters with three civil war narratives.

The article describes the author’s critical reflections on three narratives involving confederate figures and examines theoretical and pedagogical implications.

The article introduces a spectrum of ethical judgments which plots villainification and heroification on opposing ends. The author advocates for more nuanced ethical judgments that contextualize decisions as understandable or defensible based on evidence. The term understandable reflects a concept of being able to explain (i.e. demonstrate understanding) why a curricular figure made certain choices without agreeing with or supporting those choices. The term defensible denotes the existence of evidence that provides a rationale for a choice such that the person making the ethical judgment would feel comfortable making (i.e. defending) the same choice.

The article introduces a theory of nuanced ethical judgments in social studies that maps onto existing literature on heroification, villainification and place-based education. Pedagogical implications for social studies education are also identified.

This chapter examines emerging theoretical approaches and thematic aspects of creative and cultural entrepreneurship and the significant societal and economic contributions of creative firms. It reviews the concepts and definitions essential to examining creative industry entrepreneurship. The authors then provide framing for this exceptional collection of chapters in Volume 1 (of 2) and discuss existing research approaches from surveys and small-scale qualitative studies. Then, the chapter’s overview showcases the range of international research included in three sections: conceptual reflections on creative and cultural entrepreneurship, resilience and adaptation of creative and cultural enterprises, and insights into creative subsectors. Finally, the chapter proposes a research agenda for developing the field further, addressing methodological gaps (longitudinal studies and cluster research), emerging thematics (rural creative industries and creative placemaking) and sector studies (game and film industries).

This empirical chapter explores the case of Baltic Creative Community Interest Company (BC CIC), a creative hub that enabled and demonstrated intrapersonal entrepreneurial capitals (Pret et al., 2016) to adapt quickly and develop novel offers for their tenants during an unprecedented period of crisis and change in the wider ecosystem. BCCIC is a community-owned property development company established to regenerate an underused post-industrial area in Liverpool and support the Creative and Digital community. Over the past decade, they have become a creative hub where small, unique micro-businesses thrive alongside more established enterprises.

Using an organisational ethnographic approach, the authors highlight the complexity in the conversion of entrepreneurial capitals and how this has demonstrated resilience and adaptability in the CIC during the global coronavirus pandemic in the 2020s. During the first coronavirus lockdown in 2020, The CIC responded swiftly to tenants by providing a wide variety of business support initiatives. Regular communications on sector-specific COVID-19 operational guidance and a support programme to help tenants apply for Liverpool City Council Small Business Support grants.

The establishment of this hub for creative entrepreneurs prior to the recent disruption proved invaluable. Although they were severely tested, emerging behaviours, such as agility, adaptability, and resilience during periods of crisis, were identified. This chapter offers key insights for scholars and those leading on creative hubs and cluster policy development and economic initiatives for creative sector support regionally, nationally, and internationally.

Urbanization is driving the growth of China’s carbon footprint. It’s important to investigate what factors, how and to what extent, affect carbon footprints embedded in various categories of rural and urban households’ consumption.

We employ an environmental extended input-output model to assess and compare the rural-urban household carbon footprints and perform a multivariant regression analysis to identify the varying relationships of the determinants on rural and urban household carbon footprints based on the panel data of Chinese households from 2012 to 2018.

The results show evidence of urbanity density effect on direct carbon footprints and countervailing effect on indirect carbon footprints. The old dependency ratio has no significant effect on rural family emissions but has a significantly negative effect on urban direct and indirect carbon footprints. A higher child dependency ratio is associated with less rural household carbon emissions while the opposite is true for urban households. Taking advantage of recycled fuel saves direct carbon emissions and this green lifestyle benefits urban households more by saving more carbon emissions. There is a positive relationship between consumption structure ratio and direct carbon footprints while a negative relationship with indirect carbon footprints and this impact is less significant for urban households. The higher the price level of water, electricity and fuel, the lower the rural household’s direct carbon footprints. Private car ownership consistently augments household carbon footprints across rural and urban areas.

This paper provides comprehensive findings to understand the relationships between an array of determinants and China’s rural-urban carbon emissions, empowering China’s contribution to the global effort on climate mitigation.

Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

Despite widespread recognition of the importance of place in entrepreneurship research, much less attention has been paid to the methodological challenges that inquiries into place presents. Understanding the relationship between place and entrepreneurship is becoming increasingly important as focus turns to sustainable entrepreneurship and as policy makers turn to ‘place-based’ approaches to regional sustainability challenges. This chapter provides insight one researcher’s experiences engaging stakeholders in discussions about the relationship between a place-based university programme for sustainability and local sustainability agendas. The chapter reveals the struggles experienced by both researcher and participants in articulating what places and the local region means to both individuals and to the programme. The findings provide an important insight into how researchers studying place need to be cognisant of the limitations and flexibility of language when engaging research participants in discussing the relationship between place, sustainability, and entrepreneurship.

Despite almost 50% of the Indian population being women, there is a significant gap between the genders in movie production. Although there might be several reasons attributed to the underrepresentation of women in the role of a movie entrepreneur, it is a fact that female movie entrepreneurs are few and far between. Most of the female movie producers in Indian movie industry tend to be spouses or children of leading male actors who have taken up the mantle to assist their husbands or fathers. This chapter, using interviews and life history analysis, examines reasons for low numbers of female entrepreneurs in the Indian movie industry, a domain that has largely been overlooked.

This paper aims to investigate the impact of political stability on corruption by drawing upon a sample encompassing both developed and developing European and Asian countries.

The dataset, sourced from the Refinitiv database, spans from July 2014 to May 2022. Panel data techniques, specifically pooled estimation and dynamic panel data [generalized method of moments (GMM)] are employed. The analysis encompasses both fixed and random effects models to capture country-specific cross-sectional effects. To validate our findings, we perform a robustness test by including in the investigation four control variables, namely poverty, type of governance, economic freedom and inflation. To test heterogeneity, the dataset is further divided into two distinct subsamples based on the countries’ locations.

Empirical findings substantiate that political stability (viewed as the risk of government destabilization) has a positive and significant impact on corruption in all analyzed samples of European and Asian countries, though some differences are observed in various subsamples. When we take into account the control variables, these analysis results are robust.

This research provided a panel data analysis with GMM, while other empirical methodologies could also be used, like the difference-in-difference approach. However, our results should be validated by extending the time and the sample to a worldwide sample and using alternative measures of corruption and political stability. Moreover, our focus was on a linear and unidirectional relationship between the considered variables, but it would be interesting to test in our further research a non-linear and bidirectional correlation between them. Furthermore, we have introduced in the robustness test only four economic variables, but to consolidate our findings, we plan to include socioeconomic and demographic variables in future studies.

These outcomes imply that authorities should be aware of the necessity of implementing anti-corruption policies designed to establish effective agencies and enforcement structures for combating systemic corruption, to improve the political environment and the quality of institutions and to apply coherent economic strategies to accelerate economic growth because higher political stability and sustainable development determine a decrease in levels of corruption.

At the microeconomic level, the survival of organizations may be in danger from new types of corruption and money laundering. Therefore, in order to prevent financial harm, the top businesses worldwide should respond to instances of corruption through strengthened supervisory procedures. This calls for the creation of a mechanism inside the code of conduct where correct reporting of suspected situations of corruption would have a prompt procedure to be notified of. To avoid corruption in operational procedures, national plans and policies should be developed by government officials, executives and legislators on a national level, as well as by senior management and the board of directors on an organizational level. This might lower organizations' extra corruption-related expenses, assure economic growth and improve global welfare.

A novel feature of our research resides in its broad examination of a sizable sample of European and Asian countries regarding the nexus between corruption and political stability. The paper also investigates a less explored topic in economic literature, namely the impact of political stability on corruption. Furthermore, the study depicts policy recommendations, outlining effective and reasonable measures aimed at improving the political landscape and combating corruption.

Inequality in the creative industries often serves as the starting point for public debates over culture in the UK. Academic literature has long recognised the precarious nature of the fashion industry. This chapter offers a critical review of the relationships of power existing in the support offered to ethnic minorities in disadvantaged communities in the fashion and creative sectors in the UK. In addressing these issues, a Foucauldian perspective is adopted. The chapter focuses on Black, Asian, and minority ethnic (BAME) fashion entrepreneurs’ challenges in promoting young designers from disadvantaged communities.

Our findings show that the BAME entrepreneurs are active agents who are essential in identifying and shaping new creative and talented young designers. The chapter contributes to the debate through a critical review of the relationships of power existing in the support offered to ethnic minorities in disadvantaged communities in the fashion and creative sectors in the UK.

This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.