58622 research outputs found
Sort by
“I want to be honest...but how much can I share?”:Sustainable Influencing and Experiences of Moral Residue
Full text linkTransparency is the cornerstone of social media influencing. Research has explored how influencers disclose commercial interests, yet little is known about influencers’ self-disclosure of private consumption. Building on the transparency management and moral hypocrisy literatures, this paper explores how sustainable influencers navigate moral dilemmas as they communicate about sustainability. Through interviews and analysis of media articles, we find that sustainable fashion influencers experience persistent emotional baggage, which we frame as moral residue as well as moral hypocrisy, in navigating three moral dilemmas: (anti)consumption; (non)promotion; and (non)commercialization. To reconcile this, sustainable fashion influencers engage in transparency management, choosing between strategies of confessing, concealing, and/or conning. These strategies may inadvertently lock sustainable influencers in perpetual cycles of moral residue and moral hypocrisy. In explicating the process and potential outcomes of managing transparency around moral dilemmas, we provide an intrapersonal view of moral hypocrisy and offer implications for theory and practice
Convergence theory for two-level hybrid Schwarz preconditioners for high-frequency Helmholtz problems
Full text linkWe give a novel convergence theory for two-level hybrid Schwarz domain-decomposition (DD) methods for finite element discretizations of the high-frequency Helmholtz equation. This theory gives sufficient conditions for the preconditioned matrix to be close to the identity and covers DD subdomains of arbitrary size, arbitrary absorbing layers/boundary conditions on both the global and local Helmholtz problems, and coarse spaces not necessarily related to the subdomains. The assumptions on the coarse space are satisfied by the approximation spaces using problem-adapted basis functions that have been recently analyzed as coarse spaces for the Helmholtz equation, as well as all spaces in which the Galerkin solutions are known to be quasi-optimal via a Schatz-type argument. As an example, we apply this theory when the coarse space consists of piecewise polynomials; these are then the first rigorous convergence results about a two-level Schwarz preconditioner applied to the high-frequency Helmholtz equation with a coarse space that does not consist of problem-adapted basis functions.</p
Exploring the relationship between Language Learning Mindsets, Academic Success, and Language Proficiency in English Medium Medical Education
Full text linkLanguage Learning Mindsets (LLMs) encompass learners’ beliefs concerning language learning and how these beliefs can influence their motivation to embrace challenges to learn better. This study investigates the relationship between LLMs and academic success in a fourth-year medical program at a public university utilizing English-medium instruction (EMI). Using the Language Mindsets Inventory (LMI), the study evaluates the growth and fixed mindsets of 133 students towards language learning. Academic success is measured through grades obtained in courses delivered in English, as well as preparatory English courses, specifically English for General Purposes (EGP) and English for Specific Purposes (ESP). Utilizing simple linear regression analysis, the study examined the relationship between the dependent variables, namely growth and fixed Language Learning Mindsets (LLMs), and the predictor variable, academic success in English Medium Instruction (EMI) courses. The findings indicate that both growth and fixed LLMs emerged as statistically significant predictors of EMI academic success. This suggests that students with a growth mindset exhibited enhanced academic achievement in EMI contexts. Conversely, a fixed mindset was inversely related to academic success, and notable gender differences emerged in fixed LLMs. The results underscore the importance that educators should receive training on how to address different language learning mindsets among students. This training can help educators encourage the development of growth mindsets in all learners and support students with fixed mindsets. Policymakers should consider the implications of language learning mindsets when developing educational policies. This may include allocating resources for research on effective mindset interventions and incorporating mindset-oriented approaches into educational policies
Exploring the relationship between Language Learning Mindsets, Academic Success, and Language Proficiency in English Medium Medical Education
Full text linkLanguage Learning Mindsets (LLMs) encompass learners’ beliefs concerning language learning and how these beliefs can influence their motivation to embrace challenges to learn better. This study investigates the relationship between LLMs and academic success in a fourth-year medical program at a public university utilizing English-medium instruction (EMI). Using the Language Mindsets Inventory (LMI), the study evaluates the growth and fixed mindsets of 133 students towards language learning. Academic success is measured through grades obtained in courses delivered in English, as well as preparatory English courses, specifically English for General Purposes (EGP) and English for Specific Purposes (ESP). Utilizing simple linear regression analysis, the study examined the relationship between the dependent variables, namely growth and fixed Language Learning Mindsets (LLMs), and the predictor variable, academic success in English Medium Instruction (EMI) courses. The findings indicate that both growth and fixed LLMs emerged as statistically significant predictors of EMI academic success. This suggests that students with a growth mindset exhibited enhanced academic achievement in EMI contexts. Conversely, a fixed mindset was inversely related to academic success, and notable gender differences emerged in fixed LLMs. The results underscore the importance that educators should receive training on how to address different language learning mindsets among students. This training can help educators encourage the development of growth mindsets in all learners and support students with fixed mindsets. Policymakers should consider the implications of language learning mindsets when developing educational policies. This may include allocating resources for research on effective mindset interventions and incorporating mindset-oriented approaches into educational policies
Getting the most from your data:Using Statistical Process Controls for Data Quality Assurance in Sport Science Data
Full text linkAll levels of sport have seen a surge in data availability, which has allowed for the prospective and retrospective monitoring and tracking of player performance metrics, physical outputs (e.g., distance run, number of accelerations), and injuries. Players, coaches, support staff, governing bodies, and researchers are trying to leverage data to support long-term player welfare and real-time decisions, and this is made possible with advances in data capture, processing, and analysis. Statistical process control (SPC) is a method of quality control designed for understanding, monitoring, and improving process performance over time, historically associated with manufacturing. Visualization of SPC, referred to as a run chart, is accompanied by a mean centerline to show how the underlying process is changing relative to a benchmark. The run chart is visualized with control limits, which are used to determine whether the process is, or is not, operating within statistical control. Deviation of process data outside of the control limits is deemed to be a cause for special variation, highlighting areas that may require investigation. The aims of this methodological report are (a) to provide an example of how SPC can be used in sport and athlete monitoring and (b) provide practical applications for the sports science practitioner. This tutorial provides specific examples from the author's experience in using SPC in the sport field and adjoining simulated data and code to reproduce these results, and more importantly, use as a template for the practitioner's own sport data
Firm Positionality and Strategic Communication:Analyzing the Value of Informativeness for Managers
Full text linkThis study explored the moderating effects of price informativeness on the relationship between brand value and firm positionality. We argued that major effects for price informativeness are not confined to its direct effects on a firm’s market position or value, but in its moderating effects on brand-firm relationship. At the same time, the analysis confirmed that price informativeness can negatively moderate brand value’s influence on firm positionality. This study has significant implications for firms to strategically position and implement their communication strategies in a better way as to rapidly respond to fluctuations in the firm’s positionality
Does preferred technique influence how kinematics change during a run to exhaustion?—A cluster based approach
Full text linkFatigue-related changes in running technique may depend on a runner’s preferred style. Understanding these changes can inform targeted training to enhance performance. In previous work, we identified two technique-based clusters of runners: the “neutral pelvis” and the “tilted pelvis” clusters. This follow-up study examined whether fatigue induces cluster-specific technique adaptations. Sixty runners (neutral pelvis, n = 32; tilted pelvis, n = 28) completed a treadmill run to exhaustion at 5% above their individual lactate threshold speed. Stride frequency, duty factor, trunk and lower limb kinematics were compared between clusters at the start, middle, and end of the run using a 2-way repeated measures analysis of variance (ANOVA). All runners reached exhaustion in ∼20 minutes, covering ∼5 km. Runners from the tilted pelvis cluster consistently showed greater trunk-to-pelvis extension, more pelvic anterior tilt and greater hip flexion, and a smaller duty factor compared with the neutral pelvis cluster throughout the run. Fatigue-related adaptations were similar across clusters: reduced stride frequency, increased duty factor, greater trunk flexion during stance, increased plantar flexion, and higher coordination variability (trunk-to-pelvis–hip, hip–knee, knee–ankle) during swing. Although fatigue affected both groups similarly, the underlying technique differences suggest these adaptations may have distinct mechanical or performance consequences. Understanding such cluster-specific responses can help coaches tailor training and fatigue management strategies to individual running styles
ESG Risk, Political Ideology, and the Syndicated Lending Relationship
Full text linkPurpose – This study examines how Environmental, Social and Governance (ESG) scores affect both the matching process between borrowers and lenders and the terms of syndicated loans. Design/methodology/approach – The analysis concentrates on a comprehensive sample of syndicated loans to US firms. We estimate a set of linear models relating the borrower's ESG ratings to the bank's ESG ratings and to the loan conditions. Findings – We find that firms with higher ESG scores are more likely to secure loans from banks that also have strong ESG ratings, especially in politically liberal states. Such firms also benefit from more favorable loan terms, including lower interest rates and a reduced number covenants. Originality/value – This study highlights the dual role of ESG in influencing both borrower–lender matching and loan contracting outcomes. It also demonstrates that local political ideology amplifies the alignment between borrowers and lenders in terms of ESG, as well as the pricing of ESG ratings in loan contracting.</p
Supporting Complex Educational Transformation in the Fourth Industrial Revolution: A Digital Literacy PBL Case Study
Full text linkThis research investigated educators undergoing simultaneous changes to their disciplinary and pedagogical knowledge to explore supports for teachers undergoing complex transformations to education. This topic is relevant within the context of increasingly rapid educational change. The research fills a gap in the literature in providing detailed accounts of the transformation process, particularly within the context of mainland China. The primary objective was to investigate a job-embedded teacher training in which teachers used action research for the design, implementation and evaluation of a project-based digital literacy programme. The participating teachers did not have previous training in digital literacy and did not typically teach using a project-based approach. The research used a case study methodology. Data sources included researcher field notes, artefact analysis and post-programme semi-structured interviews. Analysis indicated that the teachers’ use of a modified action-research protocol with job-embedded training provided effective support in applying new pedagogical and content knowledge as well as team management and collaborative processes. Implementation of the target programme for students still faced constraints from systemic pressures, such as conflicting assessment and leadership priorities. The research findings offer insight into practical considerations when helping teachers transition from traditional pedagogy to Project-Based Learning (PBL) or from teaching traditional literacy to digital literacy. The research also generated theoretical implications such as the need for educational leaders to plan tailored support for complex teaching and technological innovations. For this purpose, the Training Support for Educational Transformation (TSET) action-research model is proposed
Access Repository Dashboard
Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇