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Disaster research is often geared towards logocentrism and has relatively few outputs that explore alternative forms of representation, particularly those using an artistic medium. This paper explores how the creative use of audio representation can enhance understanding of flooding experiences, challenging the predominant text-based approach within qualitative study.

During a series of visits to people who had been flooded in 2019 in the UK, interviews and ambient sounds were recorded, analysed and then intertwined with musical elements composed by the lead author. The result is a phonographic representation of the synthesised data. The process explores a tripartite, creative, sonic approach that comingles thematic spoken excerpts with local sounds and musical compositions.

This article presents three sonic vignettes that illustrate the use of audio as a medium for academic research outputs. It contributes to the current consensus that the interpretation, representation and dissemination of research findings should be broadened beyond the dominance of the written word to align with the ethos of the Disaster Studies Manifesto.

The research contributes to disaster scholarship by developing a transdisciplinary approach to explore people’s experiences. By retaining the participants’ voices at its core, it makes use of in-depth, rich data to illustrate individuality, rather than aiming to generalise.

Very little disaster research has focussed on pushing the boundaries of investigation by using the arts as a lens for both the researcher and their audience. Such work may connect with a wider range of people compared to a text-based “traditional” academic output. It can offer new opportunities for practical uses within Disaster Risk Reduction, for example as a communicative and educational tool.

This paper contributes to understanding the impact of developing audio representation as a medium for conveying people’s experiences of flooded homes.

The Register of Current Research in the field of Physical Distribution Management has been compiled from the response to a request for such information made to Universities in 23 countries throughout the world. The last register was published in 1972 in this journal.

Computer systems firms in Silicon Valley are responding to rising costs of product development, shorter product cycles and rapid technological change by focusing and building partnerships with suppliers, both within and outside of the region. Well-known firms like Hewlett-Packard and Apple Computers and lesser known ones like Silicon Graphics and Pyramid Technology are organized to combine the components and sub-systems made by specialist suppliers into new computer systems. As these firms collaborate to both define and manufacture new systems, they are institutionalizing their capacity to learn from one another. Three cases - a contract manufacturer, a silicon foundry, and the joint development of a microprocessor - illustrate how inter-firm networks help account for the sustained technological dynamism of the regional economy.

Seeking to build an objective scientific approach to psychiatry, American psychiatrists, physiologists, and psychologists began to turn to the conditional reflex method of Ivan Pavlov from the late 1920s. The generation of “neurotic” animals in the laboratory was critical to the emergence of a new experimental psychiatry in the United States. To understand the development of this field of research, the chapter will draw first on Mary Morgan’s identification of the mediatory and intermediary role of models and their ability to surprise and generate new questions, and second, upon her recent work on narratives in science. It will argue that it was through discursive and descriptive techniques that traced over time the tangled and interconnected lives of experimental subjects, that such elements of unpredictability in the animal laboratory were transformed into tools of research and put to disciplinary uses, promoting the clinical relevance of this new objective approach to psychiatric medicine.

This chapter addresses how small businesses resist city regulations by using material things, by making craft knowledge claims about material things, and by letting material things organize their political activity. Chefs successfully resisted a foie gras ban in Chicago, where political resistance shaped the production and use of material things. Bakers successfully resisted a trans fat ban in Philadelphia, where material properties of things structured political resistance. We bring together analytic tools from the sociology of culture and science and technology studies to demonstrate how materiality can be both an instigator and an instrument of legal and political resistance.

We extend theories of the firm to the entrepreneurial finance setting and argue that R&D-focused start-up firms will have a greater likelihood of financing themselves with equity rather than debt. We argue that mechanisms which reduce information asymmetry, including owner work experience and financier reputation, will increase the probability of funding with more debt. We also argue that start-ups that correctly align their financing mix to their R&D focus will perform better than firms that are misaligned. We study these ideas using a large nationally representative dataset on start-up firms in the United States.

This paper aims to explore the allocation of the exit value of a start-up company in market equilibrium between an angel investor and an entrepreneur in the very early-stage financing market.

The theoretical model is established based on the two-sided random search theory and the model’s ability to match the empirical data is evaluated via simulation.

The model indicates that the allocation of the final investment outcome is not proportional to the initial investments by the angel investor and the entrepreneur. The simulation results show that the continued investment by the entrepreneur and the private benefit acquired by the angel investor have a more profoundly negative influence on the angel investor’s share of the exit value of the start-up company. Moreover, the market search structure represented by the matching probability of an angel investor to an entrepreneur has a more significant impact on the angel investor’s share than the other model parameters.

The importance of market search friction in the very early-stage financing market is emphasized. The concepts of continued investments and private benefits are introduced and quantified for the first time under the framework of angel investment. The impacts of such model parameters as the matching probability of an angel investor to an entrepreneur, the success rate of a start-up company, the bargaining power of an angel investor and the discount rate on the allocation of the exit value of the start-up company are investigated as well.