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Quantitative and spatial-explicit flood risk information is of great importance for strengthening climate change adaptation and flood resilience. Shanghai is a coastal megacity at large estuary delta with rising flood risks. This study aims to quantify the overall economic-societal risks of storm flooding and their spatial patterns in Shanghai.

Based on multiple storm flood scenarios at different return periods, as well as fine-scale data sets including gridded GDP, gridded population and vector land-use, a probabilistic risk model incorporating geographic information system is used to assess the economic-societal risks of flooding and their spatial distributions.

Our results show that, from 1/200 to 1/5,000-year floods, the exposed assets will increase from USD 85.4bn to USD 657.6bn, and the direct economic losses will increase from USD 3.06bn to USD 52bn. The expected annual damage (EAD) of assets is around USD 84.36m. Hotpots of EAD are mainly distributed in the city center, the depressions along the upper Huangpu River in the southwest, the north coast of Hangzhou Bay, and the confluence of the Huangpu River and Yangtze River in the northeast. From 1/200 to 1/5,000-year floods, the exposed population will rise from 280 thousand to 2,420 thousand, and the estimated casualties will rise from 299 to 1,045. The expected annual casualties (EAC) are around 2.28. Hotspots of casualties are generally consistent with those of EAD.

In contrast to previous studies that focus on a single flood scenario or a particular type of flood exposure/risk in Shanghai, the findings contribute to an understanding of overall flood risks and their spatial patterns, which have significant implications for cost-benefit analysis of flood resilience strategies.

Many experts consider that the technological convergence of previously separated sciences like nanotechnology, biotechnology, information and communication technologies and cognitive sciences, will – in the long term – impact deeply our society and economy. Key actors in society need to become aware of the challenges linked to converging applications (CA) and take some decision related to processes to develop these. It is hoped that analyzing CA‐related opportunities and risks at a very early stage will contribute to reduce possible adverse effects in the future. This paper seeks to address this issue.

The analysis is based upon a literature review, complemented with ten expert interviews carried out over the telephone. The interviewees were natural and social scientists familiar with the topic of converging technologies/applications.

Setting priorities for discussion on research and strategy within and between the various fields of CA benefits from the early involvement of key stakeholders from the very beginning. Formulating and structuring relevant open questions on opportunities and possible risks of CA helps to contribute to a balanced discussion on opportunities and risks and further work on this topic.

The opportunity and risk analysis is exemplified for four promising areas at the intersection of cognitive science and ICT, namely human brain interfaces; speech recognition technologies; artificial neural networks; and robotics.

Narratives about educational phenomena and identities that circulate in society have the power to frame and make sense of specific educational experiences as well as general educational ideas. Some of these narratives also underwrite assumptions for policymaking and thus produce meaning, structure and alignment in an otherwise uncertain and complex field of governing. Narrative control refers to the way a specific selection of narratives and narrative plots legitimise, necessitate and normalise a specific way to understand educational purposes, processes and identities. The analyses in this chapter illuminate processes of narrative control in core documents of the latest Norwegian educational reform. Through the narrative construction of a specific educational trajectory, pupil identity and categories of deviance representing positions at risk, the documents' narrative control generates a specific standard regulating what a ‘normal pupil’ is.

Every year, millions of consumers around the world become victims of credit card fraud. These individuals have to appeal to their credit card companies to reverse unauthorized charges. This study aims to profile the American consumers’ experience when complaints to their credit card companies about unauthorized charges fail to produce a resolution. Using a large database of consumer complaint filings with the Consumer Financial Protection Bureau (CFPB), the characteristics of these consumer complaints are identified, and the drivers of consumer financial hardship resulting from credit card fraud are determined.

A random sample of consumer complaints about their credit card companies’ perceived mishandling of cases, filed with the CFPB, is used to conduct content analysis. The resulting content analysis categories are used in a predictive model to determine the drivers of consumer hardship.

In nearly one-quarter of all complaint filings, the credit card company had blamed the complainant as the party responsible for the fraudulent charges or refused to open a fraud investigation altogether. Nearly 60% of complaint reports contain expressions of emotional distress and many mention financial hardship. Nearly half of all complainants consider the fraud department operations of their credit card company as lacking in service quality, many reporting inability to reach the department or to receive a returned call. Even after CFPB intermediation, only 15% of complainants receive some form of financial relief from their credit card company. The majority of the complainants report a lack of willingness by the credit card company to reverse unauathorized charges, leaving the complainant financially responsible for them.

This study focused on data collected from consumers. Future research can expand the scope of inquiry by surveying the staff and executives in the fraud investigation departments of credit card companies to determine the norms of fraud investigation used within the industry.

This study sheds light on the financial hardship and emotional pains that consumers victimized by credit card fraud experience in dealing with their credit card companies.

To the best of the authors’ knowledge, this is the first study to empirically examine American consumers’ complaints about the fraud investigation operations of their credit card companies. Using data captured through the complaint filing system of a federal bureau (CFPB), the findings have implications for policymakers, regulators and credit card companies.

The 2008/2009 World Financial Crisis underlined the importance of social responsibility for the sustainable functioning of economic markets. Heralding an age of novel heterodox economic thinking, the call for integrating social facets into mainstream economic models has reached unprecedented momentum. Financial Social Responsibility bridges the finance world with society in socially conscientious investments. Socially Responsible Investment (SRI) integrates corporate social responsibility in investment choices. In the aftermath of the 2008/2009 World Financial Crisis, SRI is an idea whose time has come. Socially conscientious asset allocation styles add to expected yield and volatility of securities social, environmental, and institutional considerations. In screenings, shareholder advocacy, community investing, social venture capital funding and political divestiture, socially conscientious investors hone their interest to align financial profit maximization strategies with social concerns. In a long history of classic finance theory having blacked out moral and ethical considerations of investment decision making, our knowledge of socio-economic motives for SRI is limited. Apart from economic profitability calculus and strategic leadership advantages, this paper sheds light on socio-psychological motives underlying SRI. Altruism, need for innovation and entrepreneurial zest alongside utility derived from social status enhancement prospects and transparency may steer investors’ social conscientiousness. Self-enhancement and social expression of future-oriented SRI options may supplement profit maximization goals. Theoretically introducing potential SRI motives serves as a first step toward an empirical validation of Financial Social Responsibility to improve the interplay of financial markets and the real economy. The pursuit of crisis-robust and sustainable financial markets through strengthened Financial Social Responsibility targets at creating lasting societal value for this generation and the following.

This study aims to examine the impact of perceived benefits-risk dynamics on financial inclusion, the factor driving fintech adoption, the mediating effects of financial inclusion on perceived benefit-risk dynamics and fintech adoption, and the societal sustainability effects of fintech adoption.

This study used a quantitative study with 258 respondents in Sarawak, Malaysia. PLS-SEM was used to investigate the associations.

This study suggests that only non-monetary benefits and regulatory risks significantly influence financial inclusion. In addition, financial inclusion acts as an intermediary for non-monetary benefits and regulatory risks. Besides, a direct relationship exists between financial inclusion and fintech adoption, as well as between fintech adoption and societal sustainability.

This model explores a few benefits and risks. Also, technological and legislative changes may alter research outcomes. Besides, this study only samples Sarawak, Malaysia. Therefore, country-specific factors, including technology infrastructure, financial services accessibility and cultural variations, may affect participant responses. This study offers a novel perspective on fintech by including Valence, Public Good and Sustainable Information Society theories.

Financial inclusion’s non-monetary benefits must be emphasised to remove barriers and meet user requirements. Fintech firms should also work with authorities to comply with regulations and help marginalised populations by prioritising sustainability.

Fintech growth requires innovation, consumer protection and fair competition. Fintech firms can enhance financial inclusion to address inequalities (SDG10). Governments and fintech solutions should incorporate financial and digital literacy into education (SGG4).

Financial inclusion, fintech adoption and societal sustainability are examined using emotional, sociological and societal sustainability aspects.

Entrepreneurial orientation (EO) has been viewed almost exclusively through the lens of profit-driven firms. However, individuals engage in entrepreneurship not only for economic reasons but also to enrich a community or to advance society. Drawing on upper echelons theory, the purpose of this paper is to address this issue by proposing that founders’ social identities shape the strategic choices of their ventures.

Drawing on the data from 318 founders in the early stages of their entrepreneurial activity, the study applies partial least squares structural equation modeling to empirically test whether founders’ social identities influence their ventures’ EO.

The findings of the current research show that founders whose dominant purpose is the creation of value for others are more likely to launch ventures oriented toward innovation. On the other hand, ventures of founders driven by economic self-interest accept more risk, which leads to higher performance outcomes on the enterprise, community and societal levels.

The study enhances the EO discussion by adding social identity theory as a way to explain different levels of EO in firms and answers the call for more diversity in EO–performance measurement by applying specific outcomes on the enterprise, community and societal levels to investigate whether a firm’s EO leads to the desired outcomes.