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Indian Ocean region (IOR) is a coveted maritime space in the international arena because of its unique positioning and importance. The third largest water body on the planet Earth holds great economic significance and sustains the livelihood of its people. While the blue economy (BE) approach gains momentum worldwide, following this for the responsible consumption of ocean resources, India too pursues and has developed a draft policy on the BE. Maritime and coastal tourism is one of the prime areas contributing to this framework of BE. This study will explore the advances in BE prospects of Indian Tourism and highlight the elements of branding a BE Destination in the region. India being a key player and an emerging economy, situated at a transitional maritime position is strategic in nature. India as a country is a strong contestant for the title of tourism hotspot but with its highly regarded destinations, it surprisingly attracts fewer tourists. The paper examines secondary sources of data and attempts to review the untapped potential of the brand India in this vast maritime space. There is enough literature available on destination branding but this paper stands out with its unique and innovative approach that combines economic aspects with maritime sustainability and surely add value to this field of knowledge. This chapter presents the recommendations for BE-led repositioning of India tourism in the IOR. To achieve higher productivity and sustainability, a socioeconomic transformational shift is required in the segments of the tourism sector.

Traditional purchasing best practices primarily follow a commercial logic and may not necessarily be applicable for social enterprises (SEs) supplier selection. This study examines how SEs focused on poverty alleviation select suppliers amidst competing institutional logics to achieve both social impact and economic performance.

A grounded theory methodology is applied to guide semi-structured interviews with 18 fair trade verified SEs. Constant comparison methods aided in determining the point of data saturation was reached.

The results of this study indicate that SEs select marginalized suppliers based on implicit criteria that is initially based on social-welfare logic and then through a blend of commercial and social-welfare logic based on company structure.

This study is the first to reveal that SEs addressing social issues do not follow the traditional criteria for supplier selection but have their own unique selection criteria when selecting suppliers.

The personalities of leaders have been shown to impact the culture of their organizations and are also expected to have a more distal impact on the firm’s financial performance. However, the authors also expect that leader gender is an important intervening variable such that exhibiting various personality dimensions may result in unique cultural and performance-based outcomes for women and men leaders. Thus, the authors seek to examine first the impact of leader personality on organizational performance, as driven through organizational culture as a mediating mechanism. In doing so, the authors propose the expected impact of specific personality dimensions on certain types of organizational cultures, and those cultures’ subsequent impact on the organization’s performance. The authors then extend to consider the moderating effects of leader gender on the relationship between leader personality and organization. To support their propositions, the authors draw from upper echelons and implicit leadership theories. The authors encourage researchers to consider the proposition within a sample of the largest publicly traded US companies (i.e., Fortune 500) at an important era in history such that for the first time, 10% of these companies are led by women. In doing so, the authors hope to understand the leadership dynamics at the highest echelons of corporate governance and provide actionable insights for companies aiming to optimize their leadership composition and drive sustainable performance.

High levels of child obesity alongside rising stunting and the absence of a coherent food policy have deemed UK’s food system to be broken. The National Food Strategy (NFS) was debated intensely in media, with discussions on how and who should fix the food system.

Using a mixed methods approach, the authors conduct framing analysis on traditional media and sentiment analysis of twitter reactions to the NFS to identify frames used to shape food system policy interventions.

The study finds evidence that the media coverage of the NFS often utilised the tropes of “culture wars” shaping the debate of who is responsible to fix the food system – the government, the public or the industry. NFS recommendations were portrayed as issues of free choice to shift the debate away from government action correcting for market failure. In contrast, the industry was showcased as equipped to intervene on its own accord. Dietary recommendations made by the NFS were depicted as hurting the poor, painting a picture of helplessness and loss of control, while their voices were omitted and not represented in traditional media.

British media’s alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system. Media firms should move beyond tropes of culture wars to discuss interventions that reform the structural causes of the UK’s broken food systems.

As traditional media coverage struggles to capture the diversity of public perception; the authors supplement framing analysis with sentiment analysis of Twitter data. To the best of our knowledge, no such media (and social media) analysis of the NFS has been conducted. The paper is also original as it extends our understanding of how media alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system.

This chapter focuses on how alternative data can change the nature of financial forecasting through improved short-term forecasting techniques and decreased informativeness from longer term sources. Increased use of social media data leads the charge in transforming this transition. Alternative data are data not from standard financial statements or formal reports. This chapter looks at alternative data from new sources (e.g., social media, Internet of Things [IoT], and digital footprints) and alternative data from new collection methods like web scraping for textual analysis, image analysis, and vocal analysis). It first discusses standard data in financial forecasting. Next, this chapter examines alternative data in financial forecasting. Finally, it discusses alternative data used in studying finance more broadly.

This study aims to work toward understanding the entrepreneurship ecosystem of agricultural social enterprises in the Philippines by exploring the interactions between policy, culture, supports and human capital domains.

The authors considered using an exploratory single-embedded case study approach, involving methodological triangulation of document analysis, semistructured interviews and participant observation. The authors analyzed the data using a narrative approach to map the ecosystem.

Through the research, the authors discovered that while each domain functions effectively individually, disconnects exist when interacting collectively as an ecosystem. The authors come to know that there is no policy consensus on social enterprise definitions, which limits specialized policy support. Although support services like incubators are available, the authors observed that awareness and accessibility vary based on location and business maturity. The authors also noted that human capital helps translate concepts into frameworks, but research tailored to agriculture and social entrepreneurship is limited. The authors come to the conclusion that collaboration and openness across domains are needed to strengthen connections and synergies.

The study was geographically limited to Luzon Island, and the authors did not include the finance and markets domains of the ecosystem model in the analysis.

Based on the findings, the authors identify strategies to reinforce connections, such as increasing awareness of support services, developing tailored policies for social enterprises, conducting specialized research and promoting collaboration across domains. The authors are convinced that implementing these strategies can further develop the agricultural social entrepreneurship ecosystem.

The study provides unique empirical insights into the agricultural social entrepreneurship ecosystem in the Philippines. The authors captured the narratives and experiences of key ecosystem stakeholders along the process. The authors have confidence that what the authors found can strategically guide policymakers and support organizations, educational institutions and social entrepreneurs to accelerate ecosystem development for greater social impact.