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As stated in the United Nations Global Assessment Report 2022 Concept Note, decision-makers everywhere need data and statistics that are accurate, timely, sufficiently disaggregated, relevant, accessible and easy to use. The purpose of this paper is to demonstrate scalable and replicable methods to advance and integrate the use of earth observation (EO), specifically ongoing efforts within the Group on Earth Observations (GEO) Work Programme and the Committee on Earth Observation Satellites (CEOS) Work Plan, to support risk-informed decision-making, based on documented national and subnational needs and requirements.

Promotion of open data sharing and geospatial technology solutions at national and subnational scales encourages the accelerated implementation of successful EO applications. These solutions may also be linked to specific Sendai Framework for Disaster Risk Reduction (DRR) 2015–2030 Global Targets that provide trusted answers to risk-oriented decision frameworks, as well as critical synergies between the Sendai Framework and the 2030 Agenda for Sustainable Development. This paper provides examples of these efforts in the form of platforms and knowledge hubs that leverage latest developments in analysis ready data and support evidence-based DRR measures.

The climate crisis is forcing countries to face unprecedented frequency and severity of disasters. At the same time, there are growing demands to respond to policy at the national and international level. EOs offer insights and intelligence for evidence-based policy development and decision-making to support key aspects of the Sendai Framework. The GEO DRR Working Group and CEOS Working Group Disasters are ideally placed to help national government agencies, particularly national Sendai focal points to learn more about EOs and understand their role in supporting DRR.

The unique perspective of EOs provide unrealized value to decision-makers addressing DRR. This paper highlights tangible methods and practices that leverage free and open source EO insights that can benefit all DRR practitioners.

The novel coronavirus (nCoV) pandemic, and the challenges of social distancing, proffer a unique opportunity to re-explore the role of social network support in entrepreneurship. Applying social support theory and gender schema theory, this study aims to examine the gender-based differences in prospective entrepreneurs' reliance on their social networks in their entrepreneurial journey amid social turmoil.

The authors collected two-stage primary survey data of prospective entrepreneurs within the pandemic's timeframe from Science and Technology Parks in Iran, one of the first countries to deal with the first, second and third waves of the 2019-nCoV virus.

The findings demonstrate that female entrepreneurs rely more strongly on their social network support for guidance and encouragement, which positively affects their opportunity intention. While this effect is also seen in men, the effect size is smaller. Also, prospective female entrepreneurs were generally more dissuaded from opportunity intention by the severe perceived environmental uncertainty of the crisis than were men.

Prior research on the interaction between social network support and opportunity intentions has been examined in the context of socio-economic normalcy. The authors test whether, how and why these interactions hold in times of crisis, with especial attention to the mechanisms of experienced stress, perceived environmental uncertainty and idea innovativeness.

The coffee industry has experienced two major trends: the development of connoisseur consumption of specialty coffee and the importance of sustainability. Despite the increasing concomitant relevance of both trends, literature on how sustainability has been interlacing with connoisseur consumption is rather limited. Therefore, this paper aims to analyse how connoisseur consumers (CC) integrate sustainability into their coffee consumption practices.

The paper adopts a qualitative netnographic approach through an interpretive cultural analysis of specialty coffee bloggers narratives, conceived as a specific sub-group of CC that tend to be particularly active on social media.

Through the lens of social practice theories, the study reveals that CC are likely to implement and perceive sustainability very differently from the dominant mass market as subject to the influence of their shared rituals, values, norms and symbolic meanings. Such findings are relevant under a managerial perspective as they also generate insights on how to foster environmentally friendly practices in coffee consumers as well as on how to create more sustainable marketing strategies.

The study contributes to the literature on coffee consumption behaviour and sustainability. First, by analysing actual behaviours rather than intended, the study offers an alternative approach to the dominant paradigm of linear decisions models in the study of sustainable consumption. Second, because CC possess a unique consumption style, different from the mainstream market, the analysis has led towards the identification of alternative sustainable consumption patterns and enablers.

Classification techniques have been applied to many applications in various fields of sciences. There are several ways of evaluating classification algorithms. The analysis of such metrics and its significance must be interpreted correctly for evaluating different learning algorithms. Most of these measures are scalar metrics and some of them are graphical methods. This paper introduces a detailed overview of the classification assessment measures with the aim of providing the basics of these measures and to show how it works to serve as a comprehensive source for researchers who are interested in this field. This overview starts by highlighting the definition of the confusion matrix in binary and multi-class classification problems. Many classification measures are also explained in details, and the influence of balanced and imbalanced data on each metric is presented. An illustrative example is introduced to show (1) how to calculate these measures in binary and multi-class classification problems, and (2) the robustness of some measures against balanced and imbalanced data. Moreover, some graphical measures such as Receiver operating characteristics (ROC), Precision-Recall, and Detection error trade-off (DET) curves are presented with details. Additionally, in a step-by-step approach, different numerical examples are demonstrated to explain the preprocessing steps of plotting ROC, PR, and DET curves.

Family businesses feature prominently in economies, including the South African wine industry, using websites to convey their family identity. This research paper aims to explore the family identity elements that family wineries use on their websites, their alignment and how these are communicated online.

Based on Gioia’s methodology, a two-pronged approach was used to analyze 113 wineries’ websites’ text using Atlas. ti from an interpretivist perspective.

South African wineries use corporate identity, corporate personality and corporate expression to illustrate their familiness on their websites. It is portrayed through their family name and heritage, supported by their direction, purpose and aspirations, which emerge from the family identity and personality. These are dynamic and expressed through verbal and visual elements. Wineries described their behaviour, relevant competencies and passion as personality traits. Sustainability was considered an integral part of their brand promise, closely related to their family identity and personality, reflecting their family-oriented philosophy. These findings highlight the integration that exists among these components.

Theoretically, this study proposes a family business brand identity framework emphasising the centrality of familiness to its identity, personality and expression. Using websites to illustrate this familiness is emphasised with the recommendation that family businesses leverage this unique attribute in their identity to communicate their authenticity.

This study contributes to understanding what family wineries communicate on their websites, specifically by examining the elements necessary to create a family business brand based on the interrelationship between family identity, personality and expression with familiness at its core, resulting in a proposed family business brand identity framework.