bluuebunny/crossref_metadata_2025_split huggingface dataset:
Educational innovation practices in primary and secondary schools during the COVID-19 pandemic
Authors: Bouranta Nancy , Psomas Evangelos 
Published: January 2024

PurposeDue to the coronavirus 2019 (COVID-19) pandemic, primary and secondary schools worldwide are deploying online teaching/learning practices, fostering and thus innovation practices. The purpose of this study is to determine the degree to which practices reflecting educational innovation are implemented in the Greek public primary and secondary schools operating under conditions characterized by the COVID-19 pandemic. Determining the relationship among these educational innovation practices is also an aim of the present study.Design/methodology/approachA research study was conducted in the Greek public primary and secondary schools. 522 teachers fully completed a structured questionnaire. Descriptive statistics, exploratory factor analysis and structural equation modeling were applied to analyze the data.FindingsThe findings reveal that administration-related innovation practices, teaching-related innovation practices and online teaching/learning practices are implemented to some extent in primary and secondary schools in Greece, but there is still scope for continued development. The online teaching/learning practices set the foundations for further developing a culture of fully adopting other educational innovation practices in these schools to improve education.Originality/valueLimited research concerning educational innovation practices has focused on primary and secondary schools. The need for more studies on teaching and learning innovations that have resulted from the COVID-19 crisis is highlighted by the literature. The results of this study support the fact that online teaching/learning implemented in primary and secondary schools is positively associated with administration-related and teaching-related innovation practices, concluding that this forced change in the educational process can act as a catalyst for more changes and innovative actions.
An empirical study of students' perceptive on e-learning systems success
Authors: Banu Ruksana , Shrivastava Preeti , Salman Mohamed 
Published: January 2024

PurposeThe effect of e-learning success relies on the learning management system and its effectiveness provided to the learners. As a result, higher education institutions (HEIs) are expanding using various e-learning platforms and focusing on system and information quality. This study adopts the ISS (information system success) model to assess students' perception of e-learning system success (e-LSS).Design/methodology/approachA quantitative research approach was used to analyse 151 students' perceptions collected from HEIs in Oman. The survey instrument was built on prior research related to DeLone and McLean’s ISS model, and expert opinion was involved for validation. The snowball sampling method was used to collect the data, and participants' anonymity and confidentiality were maintained as part of the ethical process. The reliability of data was tested using Cronbach's alpha analysis. A statistical tool like correlation was used to examine the relationship between the study variables (system quality, information quality, user satisfaction and e-LSS).FindingsThis study’s results revealed that students positively perceived system usage, and users' satisfaction with e-learning systems (e-LSs) was high. Moreover, the correlation results indicated that the system and information quality aspects of e-learning significantly influence e-LSS.Practical implicationsThe study results on students' perspective towards e-learning information systems can be advantageous to HEIs and various stakeholders like policymakers, and e-learning platforms. It may support and assist the HEIs and corporate firms in deciding on e-learning platforms for students and learners, respectively. Moreover, the consolidated findings will contribute to the existing literature on e-learning success factors from students’ perspectives.Originality/valueThis study examines the students' perception of e-LSS in Oman HEIs and advocates prospects for further in-depth study and analysis.
Consumer religiosity, cosmopolitanism and ethnocentrism in Indonesia
Authors: Jin Byoungho Ellie , Shin Daeun Chloe , Yang Heesoon , Jeong So Won , Chung Jae-Eun 
Published: January 2024

PurposeLittle is known about Indonesian consumers' acceptance of global brands despite their huge retail market potential. Drawing from Festinger’s (1957) cognitive dissonance theory and Schwartz’s (1992) value system, this study aims to examine the effect of Indonesian consumers' religiosity, cosmopolitanism and ethnocentrism on their preference for and purchase intention towards global brands.Design/methodology/approachData were collected from 316 female consumers aged 20 years or older living in Indonesia via a professional online survey firm. The firm sent prospective participants an email invitation with a survey URL. Confirmatory factor analysis and structural equation modelling were conducted using AMOS 24.0 to test hypotheses.FindingsThe analyses revealed that Indonesian consumers' religiosity increased their ethnocentrism but not cosmopolitanism. Further, ethnocentrism decreased global brand preference without affecting purchase intention towards Korean cosmetics, whereas cosmopolitanism increased both global brand preference and purchase intention towards Korean cosmetics.Originality/valueThe findings show that cosmopolitanism has a stronger influence on global brand preference than ethnocentrism, suggesting ethnocentrism’s diminishing relevance in predicting purchase intention for foreign products. Additionally, religiosity’s effect on ethnocentrism was confirmed.
Intercultural transfer over the Atlantic in early 20th century – How the European cooperative banking system travelled to Quebec: the case of Desjardins Group
Authors: Barmeyer Christoph , Rodrigue Tobi 
Published: January 2024

Purpose
This paper aims to study historical intercultural transfer by examining the case of the Mouvement Desjardins, a Quebec, Canada-based cooperative bank founded in 1900 by Alphonse Desjardins. The aim of the cooperative was to support the hitherto marginalized French–Canadian population and to initiate their economic and entrepreneurial activities.

Design/methodology/approach
The authors focus on a historical single-case analysis. This conducts them to analyse primary data from letters exchanged between Alphonse Desjardins and European actors, as well as company documents of the Groupe Desjardins.

Findings
The intercultural transfer of the cooperative bank model and its implementation in North America as a successful, self-sustaining model is owing to recontextualization and strategic decisions of the social entrepreneur Alphonse Desjardins based on intensive written correspondence with European bank directors who promoted the cooperative system.

Research limitations/implications
This research instigates an impulse to extend our knowledge of intercultural transfer by looking into other historical cases to provide validation or add subtleties to our understanding of intercultural transfer dynamics.

Originality/value
This paper expands the current understanding of intercultural transfer and its powerful influence, namely, how an implemented cooperative bank system can contribute through successful recontextualization to institutional change and societal improvements. It also provides new insights into the creation and growth of social enterprises based on shared values within communities and coordinated strategic intentions across communities.
How does technological complexity affect manufacturers' innovation? Based on the perspective of vertical separation structure
Authors: Zhao Mingming , Wu Fuxiang , Xu Xia 
Published: January 2024

PurposeComplex technology not only provides potential economic benefits but also increases the difficulty of application. Whether and how upstream technological complexity affects downstream manufacturers' innovation through vertical separation structure is worth discussing, but it has not been effectively discussed.Design/methodology/approachThrough theoretical analysis and empirical testing, this article discusses the cost effect and market competition effect caused by upstream technological complexity on downstream manufacturers and further elucidates the impact of upstream technological complexity on downstream manufacturers' innovation.FindingsResearch has found that the impact of upstream technological complexity on the downstream manufacturers' innovation depends on the cost effect and market competition effect. The cost effect caused by the complexity of upstream technology inhibits the innovation of downstream manufacturers. In contrast, the market competition effect promotes the innovation of downstream manufacturers. There are differences in the cost effect and market competition effect of upstream technological complexity on different types of downstream manufacturers, so there is also significant heterogeneity in the impact of upstream technological complexity on innovation of different types of downstream manufacturers.Originality/valueThe conclusions of this article improve the understanding of the relationship between upstream technological complexity and downstream innovation and provide helpful implications for industrial chain innovation.
An interactive possibilistic programming approach for sustainable supplier selection and inventory management problem in the physical internet
Authors: Zhao Pengyun , Ji Shoufeng , Ji Yuanyuan 
Published: January 2024

PurposeThis paper aims to introduce a novel structure for the physical internet (PI)–enabled sustainable supplier selection and inventory management problem under uncertain environments.Design/methodology/approachTo address hybrid uncertainty both in the objective function and constraints, a novel interactive hybrid multi-objective optimization solution approach combining Me-based fuzzy possibilistic programming and interval programming approaches is tailored.FindingsVarious numerical experiments are introduced to validate the feasibility of the established model and the proposed solution method.Originality/valueDue to its interconnectedness, the PI has the opportunity to support firms in addressing sustainability challenges and reducing initial impact. The sustainable supplier selection and inventory management have become critical operational challenges in PI-enabled supply chain problems. This is the first attempt on this issue, which uses the presented novel interactive possibilistic programming method.
Incorporating sustainability in organizational strategy: a framework for enhancing sustainable knowledge management and green innovation
Authors: Rasheed Mohsin , Liu Jianhua , Ali Ehtisham 
Published: January 2024

PurposeThis study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.Design/methodology/approachThis study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.FindingsThis research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.Practical implicationsThe study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.Originality/valueThis study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.
How to make a collaborative videography using Phygital affordances to study sensitive topics
Authors: Cavusoglu Lena , Belk Russell W. 
Published: January 2024

Purpose
The physical filmmaking landscape has been transformed by the emergence of digital platforms that foster interaction and dialogue. The accessibility and affordability of mobile production tools have empowered anyone with a mobile phone to become a media content creator. Accordingly, this paper aims to present a multi-method approach for creating phygital projects that involve people as active participants rather than mere subjects who collaborate with the researchers to tell their stories.

Design/methodology/approach
Research participants can embrace diverse roles, serving as co-researchers, content creators, curators and collaborators. The authors use various engagement strategies with the research participants, who are often marginalized or underrepresented, to encourage their participation and give them agency and creative control. Thus, we also use a participatory action research approach to help advocate for the participants’ facial equality concerns.

Findings
Collaborative videography embraces the mosaic of voices expressing intricate social issues. In this project, research participants with “facial differences” explain their experiences in facing society.

Originality/value
By experimenting with participatory frameworks and combining physical interactions (such as in-person meetings) with digital platforms like Zoom and social media, the authors suggest a multi-method approach that honors the authentic stories of the research participants, effectively engages the audience and explains how phygital research methodologies can be used in interpretive consumer research, particularly in co-creating films that capture strong visuals.
Food relief providers as care infrastructures: Sydney during the pandemic
Authors: Williams Miriam J. , Pilkington Alinta , Parker Chloe 
Published: January 2024

AbstractAustralia has a hidden but growing problem with household food insecurity, revealing the failure of conventional food infrastructures to support human flourishing. Disruptions to employment and livelihoods due to pandemic lockdowns have exacerbated household food insecurity, evincing the uneven geography of food access in countries globally, including Australia. Increasing demand for food relief had been observed prior to the COVID‐19 pandemic and has been met by food relief providers, which we consider as infrastructures of care addressing growing levels of hunger. This paper reveals COVID‐19’s many impacts on the food relief sector across Metropolitan Sydney, New South Wales. It analyses both a questionnaire of food relief providers in 2022 and media articles, social media posts, reports, and websites. It provides much‐needed insights into the impacts of pandemic lockdowns on the demand for food, interruptions to food provisioning, changes to food supply, and alterations made to suppliers’ ways of operating. Those insights show how infrastructures of care are place‐based, responsive, dynamic, and constrained by caring capacities. Such insights are increasingly important for understanding infrastructural failures, documenting the real extent of household food insecurity, and challenging dominant discourses of Australia as a food‐secure nation.
NOAA's National Water Model: Advancing operational hydrology through continental‐scale modeling
Authors: Cosgrove Brian , Gochis David , Flowers Trey , Dugger Aubrey , Ogden Fred , Graziano Tom , Clark Ed , Cabell Ryan , Casiday Nick , Cui Zhengtao , Eicher Kelley , Fall Greg , Feng Xia , Fitzgerald Katelyn , Frazier Nels , George Camaron , Gibbs Rich , Hernandez Liliana , Johnson Donald , Jones Ryan , Karsten Logan , Kefelegn Henok , Kitzmiller David , Lee Haksu , Liu Yuqiong , Mashriqui Hassan , Mattern David , McCluskey Alyssa , McCreight James L. , McDaniel Rachel , Midekisa Alemayehu , Newman Andy , Pan Linlin , Pham Cham , RafieeiNasab Arezoo , Rasmussen Roy , Read Laura , Rezaeianzadeh Mehdi , Salas Fernando , Sang Dina , Sampson Kevin , Schneider Tim , Shi Qi , Sood Gautam , Wood Andy , Wu Wanru , Yates David , Yu Wei , Zhang Yongxin 
Published: January 2024

AbstractThe National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS National Centers for Environmental Prediction (NCEP) implemented version 2.1 of the National Water Model (NWM) into operations in April of 2021. As with the initial version implemented in 2016, NWM v2.1 is an hourly cycling analysis and forecast system that provides streamflow guidance for millions of river reaches and other hydrologic information on high‐resolution grids. The NWM provides complementary hydrologic guidance at current NWS river forecast locations and significantly expands guidance coverage and water budget information in underserved locations. It produces a full range of hydrologic fields, which can be leveraged by a broad cross section of stakeholders ranging from the emergency responder and water resource communities, to transportation, energy, recreation and agriculture interests, to other water‐oriented applications in the government, academic and private sectors. Version 2.1 of the NWM represents the fifth major version upgrade and more than doubles simulation skill with respect to hourly streamflow correlation, Nash Sutcliffe Efficiency, and bias reduction, over its original inception in 2016. This paper will discuss the driving factors underpinning the creation of the NWM, provide a brief overview of the model configuration and performance, and discuss future efforts to improve NWM components and services.
Case study of continental‐scale hydrologic modeling's ability to predict daily streamflow percentiles for regulatory application
Authors: Gutenson Joseph L. , Sparrow Kent H. , Brown Stephen W. , Wahl Mark D. , Gordon Kyle B. 
Published: January 2024

AbstractRegulatory practitioners use hydroclimatic data to provide context to observations typically collected through field site visits and aerial imagery analysis. In the absence of site‐specific data, regulatory practitioners must use proxy hydroclimatic data and models to assess a stream's hydroclimatology. One intent of current‐generation continental‐scale hydrologic models is to provide such hydrologic context to ungaged watersheds. In this study, the ability of two state‐of‐the‐art, operational, continental‐scale hydrologic modeling frameworks, the National Water Model and the Group on Earth Observation Global Water Sustainability (GEOGloWS) European Centre for Medium‐Range Weather Forecasts (ECMWF) Streamflow Model, to produce daily streamflow percentiles and categorical estimates of the streamflow normalcy was examined. The modeled streamflow percentiles were compared to observed daily streamflow percentiles at four United States Geological Survey stream gages. The model's performance was then compared to a baseline assessment methodology, the Antecedent Precipitation Tool. Results indicated that, when compared to baseline assessment techniques, the accuracy of the National Water Model (NWM) or GEOGloWS ECMWF Streamflow Model was greater than the accuracy of the baseline assessment methodology at four stream gage locations. The NWM performed best at three of the four gages. This work highlighted a novel application of current‐generation continental‐scale hydrologic models.
Sex hormones and the total testosterone:estradiol ratio as predictors of severe acute respiratory syndrome coronavirus 2 infection in hospitalized men
Authors: Ruiz‐Ochoa David , Guerra‐Ruiz Armando‐Raúl , García‐Unzueta María‐Teresa , Muñoz‐Cacho Pedro , Rodriguez‐Montalvan Bryan , Amado‐Diago Carlos Antonio , Lavín‐Gómez Bernardo‐Alio , Cano‐García María‐Eliecer , Pablo‐Marcos Daniel , Vázquez Luis Alberto 
Published: January 2024

AbstractBackgroundThe predictive ability of the early determination of sex steroids and the total testosterone:estradiol ratio for the risk of severe coronavirus disease 2019 or the potential existence of a biological gradient in this relationship has not been evaluated.ObjectivesTo assess the relationship of sex steroid levels and the total testosterone:estradiol ratio with the risk of severe acute respiratory syndrome coronavirus 2 infection in men, defined as the need for intensive care unit admission or death, and the predictive ability of each biomarker.Materials and methodsThis was a prospective observational study. We included all consecutive adult men with severe acute respiratory syndrome coronavirus 2 infections in a single center admitted to a general hospital ward or to the intensive care unit. Sex steroids were evaluated at the centralized laboratory of our hospital.ResultsWe recruited 98 patients, 54 (55.1%) of whom developed severe coronavirus disease in 2019. Compared to patients with nonsevere coronavirus disease 2019, patients with severe coronavirus disease 2019 had significantly lower serum levels of total testosterone (111 ± 89 vs. 191 ± 143 ng/dL; p < 0.001), dehydroepiandrosterone (1.69 ± 1.26 vs. 2.96 ± 2.64 ng/mL; p < 0.001), and dehydroepiandrosterone sulfate (91.72 ± 76.20 vs. 134.28 ± 98.261 μg/dL; p = 0.009), significantly higher levels of estradiol (64.61 ± 59.35 vs. 33.78 ± 13.78 pg/mL; p = 0.001), and significantly lower total testosterone:estradiol ratio (0.28 ± 0.31 vs. 0.70 ± 0.75; p < 0.001). The lower the serum level of androgen and the lower the total testosterone:estradiol ratio values, the higher the likelihood of developing severe coronavirus disease 2019, with the linear trend in the adjusted analyses being statistically significant for all parameters except for androstenedione (p = 0.064). In the receiver operating characteristic analysis, better predictive performance was shown by the total testosterone:estradiol ratio, with an area under the curve of 0.77 (95% confidence interval 0.68–0.87; p < 0.001).Discussion and conclusionOur results suggest that men with severe acute respiratory syndrome coronavirus 2 infection, decreased androgen levels and increased estradiol levels have a higher likelihood of developing an unfavorable outcome. The total testosterone:estradiol ratio showed the best predictive ability.