In recent decades scholars have acknowledged that transactions in the informal economy have not vanished with modernization and industrialization as expected but rather remain an important contemporary aspect of overall production and consumption across the world, in both developing and developed countries. Yet little is known about the profile of the consumers in this realm or what drives them to purchase from the informal economy. A systematic review of the literature investigating consumption in the informal economy reveals a severely underdeveloped area of consumer studies with significant gaps in terms of its theoretical approaches, methods and regional coverage. The findings of the existing literature is that multiple motives are used by consumers for justifying their purchases in the informal economy beyond the dominant simplistic view that they do simply for financial gain or for a lower price (namely, it identifies social ends and failures in formal market provision in terms of availability, speed of provision and quality). The outcome is a recognition that responsibility to reducing this phenomenon with negative effects on governments, businesses, workers and consumers lies not just with public authorities but also practitioners who need to correct the failures in formal market provision. The significant gaps identified in the literature are then used to highlight a comprehensive future research agenda, which includes the need for the development of an institutionalist theoretical perspective when explaining consumers' participation in the informal economy and social marketing interventions.
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http://dx.doi.org/10.3389/fpsyg.2022.940076 | DOI Listing |
Stat Med
February 2025
U.S. Food and Drug Administration, Silver Spring, Maryland.
The recent U.S. Food and Drug Administration guidance on complex innovative trial designs acknowledges the use of Bayesian strategies to incorporate historical information based on clinical expertise and data similarity.
View Article and Find Full Text PDFNutrients
January 2025
School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia.
Background/objectives: For low- and middle- income country (LMIC) settings, a global nutrition transition is rapidly emerging as diets shift, resulting in a dual burden of malnutrition. High quality dietary intake data for these populations is essential to understand dietary patterns contributing to these nutrition issues. New technology is emerging to address dietary assessment challenges; however, it is unknown how researchers conducting studies with LMIC populations or under-served groups in high-income countries adopt technology-assisted methods.
View Article and Find Full Text PDFNutrients
January 2025
Epidemiology Unit, Istituto Dermopatico dell'Immacolata (IDI-IRCCS-FLMM), 00167 Rome, Italy.
Unlabelled: Single nucleotide polymorphisms (SNPs) found to be associated with Androgenetic Alopecia (AGA) to date, are characterized by an apparent reduced penetrance into the phenotype suggesting a role of other factors in the etiology of AGA.
Objective: We conducted a study to investigate the role of specific allelic variants in AGA controlling for nutritional and lifestyle factors.
Methods: Individual patterns of SNPs present in the baldness susceptibility locus at 20p11 (rs1160312 and rs6113491) or close to the androgen receptor (AR) gene in chromosome X (rs1041668) were investigated in 212 male subjects.
Pathogens
January 2025
Department of Microbiology and Immunology, Faculty of Pharmacy, "Ovidius" University of Constanta, Str. Căpitan Aviator Al. Șerbănescu, nr.6, Campus Corp C, 900470 Constanta, Romania.
Cystic echinococcosis (CE) is a neglected tropical parasitic disease linked with significant social and economic burdens worldwide. The scientific community has minimal information on echinococcosis in Romanian people, and hospital medical records are the only sources that may be used to investigate its status. A 7-year retrospective clinical study on pediatric patients with CE from Southeast Romania was performed, and 39 children and adolescents were included, aged 2-15 years old.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China.
With the proliferation of mobile terminals and the rapid growth of network applications, fine-grained traffic identification has become increasingly challenging. Methods based on machine learning and deep learning have achieved remarkable results, but they heavily rely on the distribution of training data, which makes them ineffective in handling unseen samples. In this paper, we propose AG-ZSL, a zero-shot learning framework based on traffic behavior and attribute representations for general encrypted traffic classification.
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