Going Online for Groceries: Drivers of Category-Level Share of Wallet Expansion
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ABSTRACT:
SUBMITTER: Campo K
PROVIDER: S-EPMC7357978 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
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Project description:DivulgaMicro is a Brazilian science communication and outreach project run by three young female scientists. In 2020, due to the COVID-19 pandemic, we promoted the first virtual edition of the DivulgaMicro Workshop. Here, we describe adaptations implemented to deliver the virtual edition and its assessment by the participants. We offered a 3-day workshop addressing manuscript writing and publishing, poster design and oral presentations, and strategies for effectively communicating with the lay public on Days 1, 2, and 3, respectively. Each daily session was divided into short lectures and active learning through interactive and cooperative activities. We applied pre- and postsession surveys daily to assess participants' learning, with an opinion questionnaire at the end of the workshop. We selected 50 of 221 applicants, but only 38 of those selected participated in the workshop. Correct answers were significantly higher (p < 0.01) in the postsession surveys each day. Most of the 34 participants who answered the opinion questionnaire (97%) would recommend the workshop to their colleagues. Participants stated that the workshop content was transmitted in a clear and straightforward manner, and they considered the online format suitable for knowledge acquisition. Participants were satisfied with the organization, dynamics, and interactivity. Topics addressed on Day 3 (61.8%) and Day 1 (23.5%) were most liked and were considered most useful in the participants' careers. We believe that the overall success of the workshop is due to the combination of short lectures with active-learning activities, the use of virtual platforms that enabled effective communication between participants and instructors, and the support of our collaborators.
| S-EPMC8060140 | biostudies-literature
Project description:ObjectiveTo estimate the effect of the first full year of the ACA Medicaid expansion on hospital provision of uncompensated care, with special attention paid to hospitals that treat a disproportionate share of low-income patients.Data sourcesData from a balanced panel of short-term, general, nonfederal, Medicare-certified hospitals were obtained from Medicare cost reports from 2011 to 2014.Study design/study settingA series of difference-in-differences analyses were performed using hospitals in nonexpansion states as the control group. The dependent variable is hospital provision of uncompensated care.Data collection/extraction methodsThe data were downloaded from the National Bureau of Economic Research website.Principal findingsThe Medicaid expansion significantly reduced hospital provision of uncompensated care in 2014. In particular, within expansion states, DSH hospitals saw reductions beyond those experienced by non-DSH hospitals.ConclusionsEvidence from this study indicates that the Medicaid expansion served to widen an already broad gap in provision of uncompensated care between hospitals in expansion and nonexpansion states. In addition, within expansion states, variation in uncompensated care between hospitals that treat a disproportionate share of low-income patients and those that do not was reduced, with the former experiencing significantly larger reductions. Lawmakers considering expanding Medicaid and those deciding appropriate levels of DSH payments should consider these findings.
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Project description:The emergence of e-commerce platforms, especially online grocery shopping, is heightened by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict quarantine implementations in the country. This study intended to predict and evaluate factors influencing the intention and usage behavior towards online groceries incorporating the integrated Protection Motivation Theory and an extended Unified Theory of Acceptance and Use of Technology applying machine learning ensemble. A total of 373 Filipino consumers of online groceries responded to the survey and evaluated factors under the integrated framework. Artificial Neural Network that is 96.63 % accurate with aligned with the result of the Random Forest Classifier (96 % accuracy with 0.00 standard deviation) having Perceived Benefits as the most significant factor followed by Perceived Vulnerability, Behavioral Intention, Performance Expectancy, and Perceived. These factors will lead to very high usage of online grocery applications. It was established that machine learning algorithms can be used in predicting consumer behavior. These findings may be applied and extended to serve as a framework for government agencies and grocers to market convenient and safe grocery shopping globally.
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Project description:Wildlife populations are under intense anthropogenic pressures, with the geographic range of many species shrinking, dramatic reductions in population numbers and undisturbed habitats, and biodiversity loss. It is postulated that we are in the midst of a sixth (Anthropocene) mass extinction event, the first to be induced by human activity. Further, threatening vulnerable species is the increased rate of emerging diseases, another consequence of anthropogenic activities. Innovative approaches are required to help maintain healthy populations until the chronic underlying causes of these issues can be addressed. Fibropapillomatosis in sea turtles is one such wildlife disease. Here, we applied precision-medicine-based approaches to profile fibropapillomatosis tumors to better understand their biology, identify novel therapeutics, and gain insights into viral and environmental triggers for fibropapillomatosis. We show that fibropapillomatosis tumors share genetic vulnerabilities with human cancer types, revealing that they are amenable to treatment with human anti-cancer therapeutics.
| S-EPMC6123702 | biostudies-literature
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| S-EPMC11695711 | biostudies-literature
Project description:BackgroundTargeted coupons strongly influence purchasing behavior and may represent an innovative approach for improving dietary behaviors.MethodsThe retail analytics firm, Dunnhumby, provided secondary retail data containing grocery transactions, targeted coupon exposures, and coupon use for 2500 households over 2-years. The USDA Quarterly At-Home Food Purchasing Database was used to categorize individual foods into 52 categories and combined into 12 food groups. Mixed effects linear models estimated the difference-in-difference effects of coupon exposure on category-level purchase rate/wk. pre- and post-campaign; models also tested effect modification by food category.ResultsCategory-level food purchases significantly increased post-campaign. Mean (SD) food purchases/wk. Among exposed households (17.34 (13.08) units/wk) vs. unexposed households (3.75 (4.59) units/wk) were higher (p < 0.001). Difference-in-difference effects of coupon exposure showed a higher increase in purchase rate among exposed vs. unexposed households (5.73 vs. 0.67, p < 0.001). Food category significantly modified the association between coupon exposure and coupon campaign. Category-level purchase rate among exposed vs. unexposed households was relatively higher in less healthful (e.g. convenience foods) vs. more healthful categories (e.g. nuts) with a 1.17 unit/wk. increase in convenience foods purchase (p < 0.001) vs. a 0.03 unit/wk. increase in nuts (p < 0.001). Exploratory analyses suggested that price elasticity of food categories for targeted coupons (1.02-2.81) was higher than previous estimates for untargeted coupons.ConclusionAcross food categories, coupon exposure increased category-level purchase rate, with a relatively larger effect size for less healthful than more healthful categories. Promising results from this preliminary study suggest that experimental research is warranted to determine whether targeting with the explicit purpose of improving dietary quality can more effectively influence diet, and whether it can do so more cost effectively.
| S-EPMC6238299 | biostudies-literature
Project description:BackgroundDue to the ease of access to the internet in modern society users have become more prone to experiencing addictive behaviors online. The present study aimed to develop and investigate the psychometric properties of the Bangla Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), Gaming Disorder Test (GDT), and Bergen Social Media Addiction Scale (BSMAS) due to a lack of existing sound psychometric tools in Bangladesh.MethodsA cross-sectional paper-and-pencil survey was carried out among 428 school-aged adolescents who were active gamers (90.89% males; Meanage: 16.13±1.85 years; age range: 10-19 years). Participants were recruited using convenience sampling across four selected schools in Dhaka City, Bangladesh. Data collected included sociodemographic information, frequency of internet use and gaming behaviors, psychological states (i.e., Patient Health Questionnaire [PHQ-9], Generalized Anxiety Disorder [GAD-7]), disordered gaming and social media use (i.e., IGDS9-SF, GDT, and BSMAS). Psychometric testing was conducted to examine the validity and reliability levels of the Bangla IGDS9-SF, GDT, and BSMAS.ResultsThe newly adapted Bangla IGDS9-SF, GDT, and BSMAS exhibited adequate levels of internal consistency. All total scores were significantly correlated with depression, anxiety, frequencies of internet use/online activities and gaming, supporting criterion and convergent validity. CFA indicated excellent construct validity as all instruments had a good fit to the data.ConclusionsThe findings suggest that the Bangla IGDS9-SF, GDT, and BSMAS are sound psychometric instruments due to their satisfactory psychometric properties including internal consistency, criterion validity, convergent validity, and construct validity.
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Project description:Many inland waters exhibit complete or partial desiccation, or have vanished due to global change, exposing sediments to the atmosphere. Yet, data on carbon dioxide (CO2) emissions from these sediments are too scarce to upscale emissions for global estimates or to understand their fundamental drivers. Here, we present the results of a global survey covering 196 dry inland waters across diverse ecosystem types and climate zones. We show that their CO2 emissions share fundamental drivers and constitute a substantial fraction of the carbon cycled by inland waters. CO2 emissions were consistent across ecosystem types and climate zones, with local characteristics explaining much of the variability. Accounting for such emissions increases global estimates of carbon emissions from inland waters by 6% (~0.12 Pg C y-1). Our results indicate that emissions from dry inland waters represent a significant and likely increasing component of the inland waters carbon cycle.
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Project description:BackgroundWorldwide, finfish fisheries are receiving increasing assessment and regulation, slowly leading to more sustainable exploitation and rebuilding. In their wake, invertebrate fisheries are rapidly expanding with little scientific scrutiny despite increasing socio-economic importance.Methods and findingsWe provide the first global evaluation of the trends, drivers, and population and ecosystem consequences of invertebrate fisheries based on a global catch database in combination with taxa-specific reviews. We also develop new methodologies to quantify temporal and spatial trends in resource status and fishery development. Since 1950, global invertebrate catches have increased 6-fold with 1.5 times more countries fishing and double the taxa reported. By 2004, 34% of invertebrate fisheries were over-exploited, collapsed, or closed. New fisheries have developed increasingly rapidly, with a decrease of 6 years (3 years) in time to peak from the 1950s to 1990s. Moreover, some fisheries have expanded further and further away from their driving market, encompassing a global fishery by the 1990s. 71% of taxa (53% of catches) are harvested with habitat-destructive gear, and many provide important ecosystem functions including habitat, filtration, and grazing.ConclusionsOur findings suggest that invertebrate species, which form an important component of the basis of marine food webs, are increasingly exploited with limited stock and ecosystem-impact assessments, and enhanced management attention is needed to avoid negative consequences for ocean ecosystems and human well-being.
| S-EPMC3050978 | biostudies-literature
Project description:E-wallet is an application that enable users to download payment cards using a mobile device. It is a new trend for consumers to use an e-wallet application to replace the traditional payment method. With E-wallet, a user does not need to bring cash or a credit card along with them. It enables users to make purchases in a more convenient way. Hence, this research analyses the factors that affect university students' intention to use e-wallet. The Technology Acceptance Model (TAM) serves as the theory underpinning this research A total of 140 respondents from a Malaysian private institution participated in this study. Convenience sampling was used to select samples, and respondents completed the questionnaire using a Google form and a paper and pencil approach. The questionnaire was created using a nominal scale and a five-point Likert scale. Descriptive analysis, reliability analysis, and multiple regression analyses were utilised to analyse the data in this study. Students, supervisors, academics, researchers, learning institutions, commercial organisations, and the government will all benefit immensely from the data and information gathered from this study as we will be able to examine and understand the factors that influence students' decision to use an e-Wallet for their daily financial operations. This study, however, has certain limitations as it does not reflect the complete student population in Malaysian tertiary education and only examines four variables: perceived usefulness, perceived ease of use, perceived risk, and trust. Future studies could focus on other impacting elements such as risk, complexity, pervasive technology use and tech-savvy future generations.
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