17837 research outputs found
Sort by
More than meets the eye:hidden messages in the attribution of human-like values to product categories
Purpose - This paper draws on values theory, associative network theory, and schemacongruity theory to examine how consumers attribute human-like values to productcategories and products, and how these attributions affect product evaluations.Design/methodology/approach - Study one randomly assigned 925 respondents to one ofthree product categories (cars, mobile phones, and vacations). They were asked about theirvalues, and to attribute values to an assigned product category. Study two randomly assigned919 respondents to one of four value-expressive car conditions. They were asked to attributevalues to the car, and then about their attitudes and purchase intentions.Findings – Respondents attributed human-like values to product categories and products thatwere distinct and reflected the motivational compatibilities and conflicts inherent in thecircular structure of human values. Moreover, multifaceted value congruity effects werefound to positively influence attitudes and intentions to purchase a car, including congruitywith (a) product category values-schema, (b) consumers’ personal values-schema, and (c) thestructure of human values.Originality – We demonstrate how a cognitive memory-based view can be used to betterunderstand the complexities of the attribution of human-like values to products and productcategories. Moving beyond the attribution of brand personality, this study demonstrates theimportance of not only understanding attributions of values to a product, but also consideringhow these attributions interact with the more abstract product category values, to influenceevaluations
Investigating the behavior of sedimentary mercury (Hg) during burial-related thermal maturation
Legislators' accountability for issue stances:evidence from Australia's Marriage Law Postal Survey
For legislators to be held accountable for their stances voters need to sanction unpopular positions. However, because of strong party discipline it is difficult to identify the effects of individual MPs’ stances rather than the stance of their party, because MPs almost always have the same stance as their party. Researchers must therefore study issues which cut across parties or where parties allowed representatives to follow their conscience. Same-sex marriage is one such issue. We use data from the 2017 marriage law survey and subsequent 2019 federal election results to test whether MPs whose referendum positions were out-of-step with their district faced electoral sanction. We find that a standard deviation increase in congruence at the level of the polling place catchment area yields a statistically and substantively insignificant change in vote share of -0.1 percentage points. The results question the degree to which electors control their representatives beyond voting for a party label
Developing the foundations for an inclusive IS education:a case method approach for promoting female digital leaders
Racially Minoritised Young People’s Experiences of Navigating COVID-19 Challenges:A Community Cultural Wealth Perspective
This article explores the impact of the coronavirus disease 2019 (COVID-19) pandemic on racially minoritised children and young people. It draws on a study that investigated the factors that impacted the well-being and resilience of Black and Asian children and young people in the UK during the pandemic. The study employed a qualitative approach using semi-structured interviews and focus groups with Black and Asian children aged twelve to nineteen years, to explore their perspectives of the contributing factors that impacted the health, well-being and the coping strategies and support they were able to draw upon to navigate challenges. The thematic analysis highlighted themes of: (1) Support and well-being and (2) coping strategies and resilience to understand the layered elements of multiple intersecting identities and inequities. The findings revealed insights into the intersection of multiple disadvantages, namely economic stressors, food poverty, digital inequality, disruptededucation and disproportionate losses that impacted family functioning, peer-to-peer support, friendships and social connection. Through the lens of community cultural wealth, this article seeks to examine key factors that need to be foregrounded when lived experiences are rooted in the cumulative effects of multiple intersecting inequalities. The findings provide insights into the challenges exacerbated by structural inequalities and racial disparities that disproportionately impacted youth experiences
CoBrS:Cough Breath Segmentation for the reduction of class-confounding characteristics in dataset curation
Cough segmentation using Machine Learning is known to be sensitive to the effects of class-confounding char-acteristics in the training data, significantly skewing predictions with the introduction of bias. Mechanisms by which bias may permeate a dataset include small sample sizes and noise in the samples. In this paper, we propose a novel audio segmentation algorithm as a means to solve these issues through automatic isolation and extraction of biological audio events. Our algorithm, CoBrS, is based on heuristics derived from physiological assumptions and is designed to accurately isolate all cough types, including the complex peal cough, and provides segmentation support for breaths, a previously undocumented modality in segmentation literature. CoBrS was validated on three public cough datasets with varying segmentation complexity (Coswara, COUGHVID, Virufy) against two state-of-the-art algorithms (COUGHVID and Virufy), achieving mean signal quality increases of 169.3%, 274.2%, and 39.8%, and sample size increases of 250% and 280 % respectively. Our findings were also manually verified by two human raters who reported a 94% peal cough segmentation rate and that 88 % of coughs in the moderate noise test subset are of high quality. Our algorithm is capable of effectively isolating cough and breath events of all types from samples with low to moderate noise, whilst improving signal quality and retaining high-frequency information that is often lost in the process
The Decolonial Turn in Kurdish Studies:An Introduction
This special‐issue introduction highlights the burgeoning movement toward decolonizing Kurdish studies, outlining its challenges and opportunities within the academic landscape. Central to the authors’ discussion is the concept of the coloniality of power, which offers a framework for understanding the enduring oppression faced by Kurds within the context of ongoing colonial domination in the Middle East. The introduction delves into themes of historical erasure and academic marginalization, shedding light on the struggle for recognition within not only national and regional variants of area studies such as Turkish, Arab, Iranian, and Middle East studies but also the Euro‐American academy more broadly. Furthermore, the introduction underlines the potential of decolonial methodologies in reshaping the study of Kurds and Kurdistan, emphasizing the significance of amplifying voices from the ground, including those of Kurdish intellectuals, activists, and politicians. Through critical reflexivity and engagement with diverse perspectives, the editors of this special issue call for a reimagining of Kurdish studies that prioritizes epistemic decolonization, centering the experiences and agency of Kurdish communities