290 research outputs found

    Why customers participate in social commerce activities? – A laddering analysis

    Get PDF
    A new phenomenon emerging within virtual communities is a blurring between social and commercial activities. This paper explores the motivations of customers who participate in social commerce, The chosen context is micro-businesses operated by members of a virtual community of Malay lifestyle bloggers. Observations were carried out and 21 participants were interviewed in order to build an understanding of the community. We used laddering techniques in order to answer the research questions, which is “what is the relationship between participation in virtual communities and their participation in social commerce?” We found that virtual community relationship was the main influential factor, and that virtual community relationship contributed to the sense of social support as well as customers’ trust in social commerce

    Revisiting hylomorphism: What can it contribute to our understanding of information systems?

    Get PDF
    Theorising about digital technology is core to the IS discipline. This paper presents an interpretation of technology using hylomorphism, the theory that material objects comprise both matter and form. A contemporary understanding of hylomorphism argues that the form of an object is dynamic structure, which may be actualised in the process of interacting with other objects. This paper arose out of a critical realist study on the use of technology in the classroom by senior secondary students in New Zealand. The role of theory in critical realism is outlined, and then the findings that stimulated this paper are presented. A brief history of hylomorphism is discussed before moving to the contemporary revival of Aristotelian theories. Some implications of this theory on IS research are presented, including an outline of emergence and methodological considerations

    Association Between Gabapentin Receipt for Any Indication and Alcohol Use Disorders Identification Test-Consumption Scores Among Clinical Subpopulations With and Without Alcohol Use Disorder.

    Get PDF
    BACKGROUND: Current medications for alcohol use disorder (AUD) have limited efficacy and utilization. Some clinical trials have shown efficacy for gabapentin among treatment-seeking individuals. The impact of gabapentin on alcohol consumption in a more general sample remains unknown. METHODS: We identified patients prescribed gabapentin for ≥180 consecutive days for any clinical indication other than substance use treatment between 2009 and 2015 in the Veterans Aging Cohort Study. We propensity-score matched each gabapentin-exposed patient with up to 5 unexposed patients. Multivariable difference-in-difference (DiD) linear regression models estimated the differential change in Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) scores during follow-up between exposed and unexposed patients, by baseline level of alcohol consumption and daily gabapentin dose. Analyses were stratified by AUD history. Clinically meaningful changes were a priori considered a DiD ≥1 point. RESULTS: Among patients with AUD, AUDIT-C scores decreased 0.39 points (95% confidence interval [CI] 0.05, 0.73) more among exposed than unexposed patients (p < 0.03). Potentially clinically meaningful differences were observed among those with AUD and exposed to ≥1,500 mg/d (DiD 0.77, 95% CI 0.15, 1.38, p < 0.02). No statistically significant effects were found among patients with AUD at doses lower than 1,500 mg/d or baseline AUDIT-C ≥4. Among patients without AUD, we found no overall difference in changes in AUDIT-C scores, nor in analyses stratified by baseline level of alcohol consumption. CONCLUSIONS: Patients exposed to doses of gabapentin consistent with those used in clinical trials, particularly those with AUD, experienced a greater decrease in AUDIT-C scores than matched unexposed patients

    A Map of the Inorganic Ternary Metal Nitrides

    Full text link
    Exploratory synthesis in novel chemical spaces is the essence of solid-state chemistry. However, uncharted chemical spaces can be difficult to navigate, especially when materials synthesis is challenging. Nitrides represent one such space, where stringent synthesis constraints have limited the exploration of this important class of functional materials. Here, we employ a suite of computational materials discovery and informatics tools to construct a large stability map of the inorganic ternary metal nitrides. Our map clusters the ternary nitrides into chemical families with distinct stability and metastability, and highlights hundreds of promising new ternary nitride spaces for experimental investigation--from which we experimentally realized 7 new Zn- and Mg-based ternary nitrides. By extracting the mixed metallicity, ionicity, and covalency of solid-state bonding from the DFT-computed electron density, we reveal the complex interplay between chemistry, composition, and electronic structure in governing large-scale stability trends in ternary nitride materials
    corecore