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In the years following the publication of A Theory of Consumption (1923), Hazel Kyrk’s book became the flagship of the field that would later be known as the economics of consumption. It stimulated theoretical and empirical work on consumption. Some of the existing literature on Kyrk (e.g., Kiss & Beller, 2000; Le Tollec, 2020; Tadajewski, 2013) depicted her theory as the starting point of the economics of consumption. Nevertheless, how and why it emerged the way it did remain largely unexplored. This chapter examines Kyrk’s intellectual background, which, we argue, can be traced back to two main movements in the United States: the home economics and the institutionalist. Both movements conveyed specific endeavors as responses to the US material and social transformations that occurred at the turn of the 20th century, notably the perceived changing role of consumption and that of women in US society. On the one hand, Kyrk pursued first-generation home economists’ efforts to make sense of and put into action the shifting of women’s role from domestic producer to consumer. On the other hand, she reinterpreted Veblen’s (1899) account of consumption in order to reveal its operational value for a normative agenda focused on “wise” and “rational” consumption. This chapter studies how Kyrk carried on first-generation home economists’ progressive agenda and how she adapted Veblen’s fin-de-siècle critical account of consumption to the context of the household goods developed in 1900–1920. Our account of Kyrk’s intellectual roots offers a novel narrative to better understand the role of gender and epistemological questions in her theory.

The interpretation of any emerging form or period in art history was never a trivial task. However, in the case of digital art, technology, becoming an integral part, multiplied the complexity of describing, systematizing and evaluating it. This article investigates the most common metadata standards for the documentation of art as a broad category and suggests possible next steps toward an extended metadata standard for digital art.

Describing several techno-cultural phenomena formed in the last decade, manifesting the extendibility of digital art (its ability to be easily extended across multiple modalities), the article, at first, points to the long overdue need to re-evaluate the standards around it. Then it suggests a deeper analysis through a comparative study. In the scope of the study three artworks, The Arnolfini Portrait (Jan van Eyck), an iconic example of the early Renaissance, The World's First Collaborative Sentence (Douglas Davis), a classic example of early Internet art and Fake It Till You Make It (Maya Man), a prominent example of the blockchain art, are examined following the structure of the VRA Core 4.0 standard.

The comparative study demonstrates that digital art is more multi-semantic than traditional physical art, and requires new taxonomies as well as approaches for data acquisition.

Acknowledging that digital art simply has not yet evolved to the stage of being systematically collected by cultural institutions for documentation, curation and preservation, but otherwise, in the past few years, it has been at the front-center of social, economic and technological trends, the article suggests looking for hints on the future-proof extended metadata standard in some of those trends.

This chapter discusses conceptual links among Hazel Kyrk’s A Theory of Consumption (1923), the overall work of Thorstein Veblen, and Wesley C. Mitchell’s essays on spending and money. The three authors are concerned with transformations in production, related changes in the organization of consumption, and the effects on people. The approach is based on reading of Kyrk’s book in light of an integrated view of Veblen’s overall work. This chapter explains how Mitchell’s essays on money and spending built on Veblen’s work and discusses their relevance for understanding Kyrk’s book as conceptually linked to institutional economics. This chapter delineates the following commonalities: conception of living humans and money as an institution; distinction between business and industrial concerns; connection between distribution, waste, and consumption; and Veblen’s “machine process” of standardization in production and its relation to consumption. This chapter brings more detail in the conceptual and theoretical discussion of Veblen’s influence on Kyrk’s book.

Websites, search engines, recommender systems, artificial intelligence and digital libraries have the potential to support serendipity for unexpected interaction with information and ideas which would lead to favored information discoveries. This paper aims to explore the current state of research into serendipity particularly related to information encountering.

This study provides bibliometric review of 166 studies on serendipity extracted from the Web of Science. Two bibliometric analysis tools HisCite and RStudio (Biblioshiny) are used on 30 years of data. Citation counts and bibliographic records of the papers are assessed using HisCite. Moreover, visualization of prominent sources, countries, keywords and the collaborative networks of authors and institutions are assessed using RStudio (Biblioshiny) software. A total of 166 papers on serendipity were found from the period 1989 to 2022, and the most influential authors, articles, journals, institutions and countries among these were determined.

The highest numbers of 11 papers were published in the year 2019. Makri and Erdelez are the most influential authors for contributing studies on serendipity. “Journal of Documentation” is the top-ranking journal. University College London is the prominent affiliation contributing highest number of studies on serendipity. The UK and the USA are the prominent nations contributing highest number of research. Authorship pattern for research on serendipity reveals involvement of single author in majority of the studies. OA Green model is the most preferred model for archiving of research articles by the authors who worked on serendipity. In addition, majority of the research outputs have received a citation ranging from 0 to 50.

To the best of the authors’ knowledge, this paper may be the first bibliometric analysis on serendipity research using bibliometric tools in library and information science studies. The paper would definitely open new avenues for other serendipity researchers.

The interview traces the early discussions in the context of disasters as developmental failures.

The transcript and video was developed in the context of a United Nations Office for Disaster Risk Reduction (UNDRR) project on the history of DRR.

The interview traces the development of disaster risk reduction discussions in different contexts such as “LA RED” network in Latin America.

The interview clearly highlights the need to not forget the early thoughts on vulnerability and disaster risk.

Our paper studies a central issue with a long history in economics: the relationship between population and economic growth. We analyze the joint dynamics of economic and demographic growth in 111 countries during the period 1960–2019.

Using the concept of economic regime, the paper introduces the notion of distance between the dynamical paths of different countries. Then, a minimal spanning tree (MST) and a hierarchical tree (HT) are constructed to detect groups of countries sharing similar dynamic performance.

The methodology confirms the existence of three country clubs, each of which exhibits a different dynamic behavior pattern. The analysis also shows that the clusters clearly differ with respect to the evolution of other fundamental variables not previously considered [gross domestic product (GDP) per capita, human capital and life expectancy, among others].

Our results indirectly suggest the existence of dynamic interdependence in the trajectories of economic growth and population change between countries. It also provides evidence against single-model approaches to explain the interdependence between demographic change and economic growth.

We introduce a methodology that allows for a model-free topological and hierarchical description of the interplay between economic growth and population.