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Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

This study examines the impact of financial services employees’ engagement on the attitude toward artificial intelligence (AI) in Sri Lanka. The model developed in this study comprises three constructs to demonstrate employee engagement (EE), namely, psychological state engagement (PSE), trait engagement (TE), and cognitive engagement (CE). Further, the model tests the moderating effect of age and gender on the relationship between EE and attitude toward AI. The authors conducted this research through a survey of 200 employees at Sri Lankan financial service firms. The findings indicate that EE substantially impacts attitudes regarding AI. Additionally, PSE, CE, and attribute engagement substantially affect how people feel about AI. Further, age has a moderating effect on the association between EE and attitude toward AI among financial services personnel. Based on the findings and discussion, the researcher recommends AI’s most significant importance in promoting a high level of engagement. The results would be helpful for both academic researchers and practitioners, especially HR managers, to understand the status of AI in Sri Lanka and formulate strategies to expedite EE.

The changing environment and competitive market forces have brought many changes in the business sector that have put organisations under immense pressure. The use of psychometric assessments and behavioural profiling help organisations to determine individuals' abilities, aptitudes, personality traits, values and factors which intrinsically motivate them and assist in bringing the right people on board who fit well within the organisational culture and can contribute towards the performance goals. Although behavioural profiling and psychometric assessments are accepted worldwide, however, developing countries particularly the public sector still relies on conventional recruitment methods and the adaptation of contemporary behavioural profiling and psychometric assessments is a challenge. Therefore, this chapter evaluates how the adaptation of behavioural profiling and psychometric assessments in the civil service exams in developing countries can improve the selection process and ultimately can help to improve the quality of public services, capacity building and achieving sustainability goals.

Fluorocarbon (FC) gas, which contributes to the ozone depletion and global warming, is commonly used especially in the refrigeration and air conditioning (RAC) equipment. In Malaysia, lifecycle management of FC gas is still lacking at all stages, especially at the downstream level (maintenance, service, recycle, recovery, and destruction). Thus, the aim of this study is to assess the level of awareness of local stakeholders and consumers regarding FC gas management. Furthermore, the level of awareness among the consumers has been identified based on their educational background. Two sets of questionnaires were developed based on the dichotomous question types (yes/no) and were distributed to local stakeholders and consumers by using convenience sampling in two different programmes. The data were statistically analysed using IBM SPSS software. Findings demonstrate that, in contrast to consumers, local stakeholders have high level of awareness in every section. Remarkably, all non-engineering respondents have a low level of awareness about FC gas management. As a result, capacity building for consumers and service maintenance personnel who are heavily involved in middle steam and downstream lifecycle FC gas management is needed.

To look at the role of local decision-making and control in the face of a trend towards unified national and transnational disaster protocols. To look at the implications of a shifting rhetoric – from sustainability to resilience – for this issue.

This chapter draws upon the author’s case studies of the 2009 H1N1 pandemic in New York City and Hurricane Sandy (2013) in New York City, as well as studies of Hurricane Katrina (2006) in New Orleans, to discuss governance issues.

Empirical studies confirm the importance of locally based decision-making and control. There are tensions between national disaster protocols and local decision-making; urban governance matters given differences in political culture, leadership, and community participation.

We need a resilient social infrastructure as well as a resilient physical environment. Strong social institutions are an essential part of this process but communities must be given material, not only symbolic benefits.

The conclusion that the threat of natural disasters requires more rather than less autonomy in decision-making for the locality.

Furthermore, that the shift in objectives, from sustainability to resilience (mandating redundancy and sophisticated data retrieval) requires what we might call a more empowered city.

The rise of the digital economy has led to a focus on how to manage big data and business intelligence for entrepreneurial purposes. The aim of this chapter is to discuss how to plan for open innovative ecosystems that harness the potential of new data analytics techniques in order to progress society. This means concentrating on the increasingly complex world of data analytics in order to derive information about potential entrepreneurial opportunities. The role of knowledge management in influencing an open innovation ecosystem predicated on big data and computing acumen is stated. This helps to understand how the future of the global economy relies on an open data policy that encourages the sharing and dissemination of information. Implications for managers are also suggested that emphasize the role of innovation ecosystems, data and government.

This research attempts to understand how individuals prevent themselves from exposure to COVID-19 when dining out at a restaurant and what situational factors shaping their COVID-19 preventive behavior (CPB) are. It collects 303 questionnaires responded by restaurant patrons in the United Arab Emirates. The resultant data reveals the ranks of the relative importance among the five CPBs proposed by this study that wearing a mask is considered the most critical CPB. In contrast, wearing gloves is the least desirable CPB. Concerning five health-risk factors under investigation, there is no difference in CPB between the vaccinated and non-vaccinated. People suffering from issues with their immune system show a significant inclination to stress social distancing compared to those without any immune issues. Those having an inflected family member are apt to wear gloves. Further, individuals bearing risk factors concerning chronic illness, an immune problem, and an infected family member are inclined to wash their hands and wear gloves. Lastly, this research finds six situational factors affecting an individual's CPB.

Nation-states, researchers, and organizations realized the pivotal role of social entrepreneurship in economic development in the recent two decades. The body of knowledge in this domain witnessed consistent research growth but it still lacks a critical review to guide future researchers. This chapter contributes to the body of knowledge by presenting the first bibliometric analysis (using software such as HistCite, VOSviewer, and Biblioshiny). The relevant articles were searched in the Web of Science (WOS) database to ensure the inclusion of high-quality research. Among 910 initially retrieved publications 86 most relevant publications were included in the final dataset. The analysis included various bibliometrics and visualization maps such as the publication trends, most influential articles and journals, most productive countries and organizations, co-citation analysis, and thematic clustering of the research. The findings showed an overall consistent growth in research publications during the last 16 years (2005–2020) with Social entrepreneurship and enterprise: international and innovation perspectives' as the most influential article, Entrepreneurship and Regional Development as the most influential journal, and the United States and the United Kingdom as the most productive countries. The keyword co-occurrence analysis exposed five thematic clusters within the selected dataset indicating a relatively less focus on economic development aspects. Thus, future research should explore how social entrepreneurship, while solving social, cultural, environmental, and community issues, contributes to economic development. The research implications and limitations are discussed in the end.

The age of artificial intelligence (AI) is already upon us. The rapid development of AI tools is facilitating sustainable development and its corollary social good. For AI dedicated to social good to be impactful, it has to be human-centred, striving to achieve inclusiveness, sustainable livelihoods and community well-being. In short, it offers major opportunities to holistically enhance peoples' lives in diverse areas: education, health care, food security, disaster reduction, smart cities, etc. However, ethical, unbiased and ‘secure-by-design’ algorithms that power AI are crucial to building trust in this technology. Civil society's engagement can hopefully drive the features and values that should be embedded in AI.

This chapter focuses on the societal benefits that AI can deliver. Our initiatives and decisions of today will fashion the ‘Social Good’ AI applications of tomorrow. Sustainable Development Goals (SDGs) being addressed are 2–4 and 10–11.