Looking for a Needle in a Haystack: How to Search for Bottom‐Up Social Innovations that Solve Complex Humanitarian Problems

The worldwide increase in societal challenges is putting pressure on humanitarian organizations to develop sophisticated approaches to leverage social innovations in the humanitarian sector. Since humanitarian problems are complex problems, with the relevant knowledge being hidden, organizational search theory advocates the application of bottom‐up and theory‐guided search processes to identify the social innovations that solve these. Unfortunately, there has been no theoretical attention to understanding which approaches apply in this context. Further, established theory‐guided bottom‐up search processes, such as the lead user method, are unsuitable to the humanitarian sector, and we lack practice examples of adequate search processes. To start addressing this gap in theory and practice, procedural action research was done with the International Federation of Red Cross and Red Crescent Societies to develop a theory‐guided bottom‐up innovation search process for the real‐life humanitarian problem of recurring floods in Indonesia. It revealed that an innovation search process for this context must differ significantly concerning its objectives and the steps to be taken from the lead user method, which was used as a starting point. Further, a comparison of the technical quality and the social impacts of the identified social innovations with social innovations identified through a non‐theory‐guided bottom‐up search process (i.e., an innovation contest) suggests the superiority of this theory‐guided search process. With this conclusion and the insights derived throughout the development of the search process, this study makes important contributions to theory development in the social and open innovation literatures and delivers important recommendations for social innovation practice in the humanitarian sector.     

Aquaculture: an emerging issue for public concern

The present paper reviews the literature on the risks and benefits of aquaculture. By bringing together sources from both natural sciences and social sciences, we provide a synthesis of perspectives on the relatively novel activity of modern aquaculture. This review consists of three parts: first, a background to aquaculture; second, an overview of the scientific risks and benefits; and third, an introduction to the related public perception issues. We establish five main risk‐related areas: human health, environment, organizational, fish welfare, and social issues and utilize these to highlight potential divergences in expert and lay perceptions. Drawing on findings from the risk perception literature, particularly those related to previous food‐related controversies, it is argued that aquaculture incorporates a range of issues, which have already been shown to be a catalyst for public concern. As such, we conclude that, in addition to natural science studies, aquaculture requires a social science approach in order to be able to anticipate and address future controversies in a timely and efficient manner. However, to date, only few articles address aquaculture from a social science perspective, and the present paper is offered as a step in this direction.     

Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors,Environmental Attitudes and Policy

Using survey data of around 10,000 households from 10 OECD countries, we identify the driving factors of household adoption of water-efficient equipment by estimating Probit models of a household’s probability to invest in such equipment. The results indicate that environmental attitudes and ownership status are strong predictors of adoption of water-efficient equipment. In terms of policy, we find that households that were both metered and charged for their water individually had a much higher probability to invest in water-efficient equipment compared to households that paid a flat fee.     

Real exchange rate persistence and the excess return puzzle: The case of Switzerland versus the US

The PPP puzzle refers to the wide swings of nominal exchange rates around their long‐run equilibrium values whereas the excess return puzzle represents the persistent deviation of the domestic‐foreign interest rate differential from the expected change in the nominal exchange rate. Using the I(2) cointegrated VAR model, much of the excess return puzzle disappears when an uncertainty premium in the foreign exchange market, proxied by the persistent PPP gap, is introduced. Self‐reinforcing feedback mechanisms seem to cause the persistence in the Swiss‐US parity conditions. These results support imperfect knowledge based expectations rather than so‐called “rational expectations”.     

The Interdependence of R&D Activity and Debt Financing of Young Firms

We investigate the interdependence of debt financing and R&D activities of young firms. Applying a bivariate Tobit model, we find that there is a positive interdependent relationship between the share of loan financing and R&D intensity. A higher share of loan financing allows for more R&D in young firms and, at the same time, a higher R&D intensity allows for a higher loan share. This result is mainly driven by start‐ups exhibiting high values of R&D intensity or leverage. Another remarkable result of our study is that the positive relationship between R&D and loan financing can only be detected if we consider that, first, the decisions on R&D and on loan financing are made simultaneously and, second, the decision on R&D impacts the decision on loan financing and vice versa.     

The Emergence of Proto-Institutions in the New Normal Business Landscape: Dialectic Institutional Work and the Dutch Drone Industry

In the current business landscape, in which technology-enabled entrepreneurship is part of the New Normal, regulatory institutional structures are in constant flux. Previous studies have framed the challenges facing entrepreneurs in mature organizational fields as avoiding the power of overbearing regulators long enough to establish the legitimacy of their ventures. In fields typified by New Normal conditions, however, regulatory frameworks for evaluating new technology-enabled ventures are often still lacking. Regulators may choose to actively reach out to entrepreneurs to arrive at a better understanding of the radical technological changes and high-frequency entrepreneurial behavioural adaptations that occur in these settings. To grasp how novel regulatory institutional structures come about in the New Normal business landscape, we conducted a processual study of the emergence of a new technology that is the Dutch remotely piloted aircraft systems (drone) industry between 2000 and 2018. Our findings show that regulatory proto-institutions result from dialectic institutional work in the form of structured interactions between entrepreneurs and regulators. Specifically, we present a process model that reveals how new regulatory structures evolve in contexts where high levels of technological and behavioural change induce systemic uncertainty, and enlarge the interdependence between entrepreneurs and regulators. We suggest that our process theory of proto-institutional emergence generalizes towards other organizational fields in which technology-enabled entrepreneurship has become the main driver of growth. Theoretically, our findings speak to the literatures on institutional work, proto-institutional emergence, and the New Normal business landscape.     

Rising wage inequality,the decline of collective bargaining,and the gender wage gap

This paper investigates the increase in wage inequality, the decline in collective bargaining, and the evolution of the gender wage gap in West Germany between 2001 and 2006. Based on detailed linked employer–employee data, we show that wage inequality is rising strongly — driven not only by real wage increases at the top of the wage distribution, but also by real wage losses below the median. Coverage by collective wage bargaining plummets by 16.5 (19.1) percentage points for male (female) employees. Despite these changes, the gender wage gap remains almost constant, with some small gains for women at the bottom and at the top of the wage distribution. A sequential decomposition analysis using quantile regression shows that all workplace related effects (firm effects and bargaining effects) and coefficients for personal characteristics contribute strongly to the rise in wage inequality. Among these, the firm coefficients effect dominates, which is almost exclusively driven by wage differences within and between different industries. Labor demand or firm wage policy related effects contribute to an increase in the gender wage gap. Personal characteristics tend to reduce wage inequality for both males and females, as well as the gender wage gap.