Literature-related discovery (LRD): Potential treatments for Raynaud's Phenomenon

Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, plausible, and intelligible knowledge (i.e., potential discovery). The open discovery systems (ODS) component of LRD starts with a problem to be solved, and generates solutions to that problem through potential discovery. We have been using ODS LRD to identify potential treatments or preventative actions for challenging medical problems, among myriad other applications.Raynaud's Phenomenon (RP) is a condition in which small arteries, most commonly in fingers and toes, contract and cause the skin to turn pale or a patchy red to blue. We selected the subject of RP for analysis by LRD because of RP's global prevalence, and its apparent intractability to all treatments except for palliative remediation mainly through drugs or surgery. Our main goal was to identify non-drug non-surgical treatments that would 1) prevent the occurrence, or 2) reduce the progression rate, or 3) stop the progression, or 4) maybe even reverse the progression, of RP. Our secondary goal was to compare our ODS LRD approach to the RP problem with other investigators who have addressed the RP problem since Swanson's pioneering 1986 ODS LRD paper on potential RP treatments [D.R. Swanson, Fish oil, Raynauds syndrome, and undiscovered public knowledge, Perspectives in Biology and Medicine 30 (1) (1986) 7-18].We used Medline from 1965-1985 to identify potential discovery for RP. We differ from all the other authors who have addressed this problem in two major respects: we make no numerically-based filtering assumptions, and we generate substantial potential discovery (∼ 130 potential discoveries). Further, we believe our reported results are the tip of the iceberg. Much more potential discovery is possible with an adequately resourced study using the lessons learned from this demonstration study and the other demonstration studies that follow in this Special Issue.     

In defence of generalized Darwinism

Darwin himself suggested the idea of generalizing the core Darwinian principles to cover the evolution of social entities. Also in the nineteenth century, influential social scientists proposed their extension to political society and economic institutions. Nevertheless, misunderstanding and misrepresentation have hindered the realization of the powerful potential in this longstanding idea. Some critics confuse generalization with analogy. Others mistakenly presume that generalizing Darwinism necessarily involves biological reductionism. This essay outlines the types of phenomena to which a generalized Darwinism applies, and upholds that there is no reason to exclude social or economic entities.

New insights into online consumption communities and netnography

This study provides new insights to online consumption communities by questioning the currently dominant view of communities being structured by subcultural capital and meanings pertinent to a specific field of consumption, such as one brand or consumption interest. This study argues for more sensitivity in recognizing increasing delocalization, which manifests itself in significant overlap between communities and consequently freer movement of participants between them. This study draws from a longitudinal and introspective netnographic research project in what was originally an electronic music community to discuss the consequences of this development. The study finds that delocalization manifests itself through situated individualism and delocalized performances within online consumption communities, and offers implications for future netnographic inquiry.     

Uniform confidence bands for functions estimated nonparametrically with instrumental variables

This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally distributed. The asymptotic normality result holds in both mildly and severely ill-posed cases. We present methods to obtain a uniform confidence band and show that the bootstrap can be used to obtain the required critical values. Monte Carlo experiments illustrate the finite-sample performance of the uniform confidence band.     

Factors affecting investors’ intention to purchase gold and silver bullion: evidence from Malaysia

Gold and silver prices have surged since the 1980s, and they have been used as a store of value for fear of a financial meltdown. However, gold and silver in the form of bullion are still not so popular compared with other gold and silver products (jewellery) and other financial instruments in Malaysia. Limited study has actually verified the factors that affect the investors’ intention to purchase bullion. Thus, this study explores factors affecting investors’ behaviour and their intention to purchase bullion based on the Theory of Planned Behaviour. This study also examines the moderating effect of scepticism between investors’ behaviour and their intention to purchase bullion. A total of 208 sets of data collected in a self-administered online structured survey was analysed using PLS-SEM. This study finds that investors’ behavioural belief and control belief significantly and positively affect their respective attitude towards behaviour and perceived behavioural control and, thus, intention to purchase bullion. Results are found insignificant for normative belief, normative attitude and intention to purchase bullion and the moderating effect of scepticism in affecting investors’ intention to purchase bullion. The findings of this study hope to provide insight and deeper understanding to bullion traders and financial advisors in improving their marketing strategies in growing interest in the bullion market.

     

Going green in Thailand: Upgrading in global organic value chains

Under what conditions are some small-scale agricultural producers able to overcome challenges associated with shifting to organic production, whereas most are not? The answers are vital for the global effort to encourage more sustainable, pro-poor forms of agriculture—more organic farming, more sustainable production; more smallholders engaged in green production, more income and better livelihoods. Yet, answering this question is challenging in part because previous analyses of global production networks, such as those associated with organic agriculture, focus more on broad governance patterns than the specific factors and actors that help smallholders shift to organic production and link to far-flung markets. To fill in these gaps, we conducted fieldwork in Isan, Thailand, a major rice-producing area in which many groups of smallholders have attempted to shift into organic production. Doing so allows us to identify the critical challenges associated with upgrading into organic production and analyse how specific actors enabled some groups to overcome these challenges. Our findings provide a generalizable theoretical approach to understanding how to link small-scale farmers to global value chains in ways that can potentially enhance smallholders' livelihoods, spark rural development and encourage more sustainable practices in agriculture.     

A dynamic segmentation of U.S. women during the COVID-19 pandemic

The coronavirus disease 2019 (COVID-19) pandemic has had a vast, but uneven, influence on consumers. Diversity in consumer reactions, and the extent to which those reactions lead to lasting preference and lifestyle changes, present challenges for implementing effective marketing strategies during a period of societal crisis. To address this, we conducted a dynamic segmentation analysis involving over 14,000 U.S. women by assessing relevant psychological, experiential, and other personal factors at multiple time points during the pandemic. This analysis identified seven unique consumer segments who varied in their current and future degree of change, and who indicated responsiveness to specific forms of brand and advertising content. This seven-segment clustering was highly stable over time, suggesting that certain segmentation approaches hold continuing value for marketers even as widespread events like pandemics evolve.