Online Knowledge Research Articles

“It's Hard to Give Hope Sometimes”: Climate Change, Mental Health, and the Challenges for Mental Health Professionals

Mental health professionals (MHPs) are on the frontlines of assisting clients with mental health impacts of climate change (CC), yet challenges to their practice and required resources have not been adequately explored. A cross-sectional online knowledge, attitudes and practice (KAP) survey was conducted with active, licensed MHPs across the State of Minnesota (n = 517). Fifty-four questions were divided into sections on socio-demographics, knowledge and attitudes, familiarity with emerging terminology, practice behaviors and experiences, and needs for professional resources and training. Most MHPs agreed that CC is an important problem impacting mental health (81.6%), with many (61.0%) already observing these impacts. More than half (51.8%) report that clients would consider discussing CC as part of their treatment. Yet fewer (32.9%) feel well-prepared to have this discussion. A small proportion of MHPs are familiar with resources to assist with assessment (15.0%) and treatment (18.3%), but only 10.2% have made use of these tools with their clients. Results from this comprehensive survey underscore the need for interdisciplinary research and practice communities to design and implement assessment, intervention, and evaluation tools that address the broad impacts of CC on help-seeking clients.

Online knowledge sharing and creativity in the context of working from home during the COVID-19 pandemic

PurposeThe COVID-19 lockdown has forced many organizations and employees to work from home. In such uncertain and unprecedented context, it is crucial for organizations to stimulate their employees’ creativity to adapt to new working environment and thus to sustain and improve organizational performance. This paper aims to examine how to stimulate employees’ creativity by focusing on their online knowledge sharing (OKS) behaviors, their use of online platforms and their organizations’ innovation climate in a working from home (WFH) context because of the lockdown. For empirical analysis, this research uses data from Vietnam – a developing country in the Southeast Asia.Design/methodology/approachData are collected from employees working in Ho Chi Minh City but WFH during the COVID-19 lockdown. Structural equation models are used for analyzing the data.FindingsOnline platform use and organizational innovation climate are positively associated with creativity directly and indirectly via the mediating roles of internal and external OKS.Research limitations/implicationsThis research provides policymakers, organizational leaders and managers with an important evidence on how to stimulate creativity by emphasizing the roles of knowledge sharing, online platforms and innovation climate. Accordingly, relevant practical implications are also drawn to sustain or improve organizational performance in the context of WFH context because of COVID-19 lockdown. This research also contributes to knowledge management literature by providing an evidence on the relationships between online platform use, organizational innovation climate, OKS and creativity.Originality/valueThis research is among the early attempts that explore the associations between employees’ use of online platforms, their organizations’ innovation climate, their internal and external OKS behaviors and their creativity in the context of WFH because of a lockdown.

What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service

What factors influence grassroots knowledge supplier performance in online knowledge platforms? Evidence from a paid Q&A service

Online knowledge distillation network for single image dehazing

Single image dehazing, as a key prerequisite of high-level computer vision tasks, catches more and more attentions. Traditional model-based methods recover haze-free images via atmospheric scattering model, which achieve favorable dehazing effect but endure artifacts, halos, and color distortion. By contrast, recent learning-based methods dehaze images by a model-free way, which achieve better color fidelity but tend to acquire under-dehazed results due to lacking of knowledge guiding. To combine these merits, we propose a novel online knowledge distillation network for single image dehazing named OKDNet. Specifically, the proposed OKDNet firstly preprocesses hazy images and acquires abundant shared features by a multiscale network constructed with attention guided residual dense blocks. After that, these features are sent to different branches to generate two preliminary dehazed images via supervision training: one branch acquires dehazed images via the atmospheric scattering model; another branch directly establishes the mapping relationship between hazy images and clear images, which dehazes images by a model-free way. To effectively fuse useful information from these two branches and acquire a better dehazed results, we propose an efficient feature aggregation block consisted of multiple parallel convolutions with different receptive. Moreover, we adopt a one-stage knowledge distillation strategy named online knowledge distillation to joint optimization of our OKDNet. The proposed OKDNet achieves superior performance compared with state-of-the-art methods on both synthetic and real-world images with fewer model parameters. Project website: https://github.com/lanyunwei/OKDNet.

Information Adoption Patterns and Online Knowledge Payment Behavior: The Moderating Role of Product Type

The development of online knowledge payment platforms in recent years has increased their respective market value by nurturing content resources and improving content ecology. Yet, the underlying factors of knowledge seekers’ payment behaviors and their information adoption mechanisms are poorly understood. Based on the information adoption model, this study develops a research model to examine the relationship between information adoption patterns and knowledge seekers’ payment behavior, and explore the moderating effect of product type on this relationship. To test the research model and hypotheses, we used a multi-analytic approach combining text and regression analysis on a sample of 4366 social Q&A data collected from Quora+ between August 2021 and August 2022. We further classified the product types into utilitarian and hedonic, and compared the differences in influence paths between product types. The results show that the completeness, vividness, and relevance of the product description have a significant positive impact on knowledge payment behavior. The reputation, experience, and integrity of the knowledge provider have a positive impact on knowledge payment behavior. Compared to utilitarian knowledge products, the payment behavior for hedonic products is more related to the reputation and experience of the knowledge provider. This study provides insights into the factors that influence online knowledge payment behavior and practical guidance for the development of online knowledge payment services and platforms.

Large‐scale knowledge distillation with elastic heterogeneous computing resources

AbstractAlthough more layers and more parameters generally improve the accuracy of the models, such big models generally have high computational complexity and require big memory, which exceed the capacity of small devices for inference and incurs long training time. In addition, it is difficult to afford long training time and inference time of big models even in high performance servers, as well. As an efficient approach to compress a large deep model (a teacher model) to a compact model (a student model), knowledge distillation emerges as a promising approach to deal with the big models. Existing knowledge distillation methods cannot exploit the elastic available computing resources and correspond to low efficiency. In this paper, we propose an Elastic Deep Learning framework for knowledge Distillation, that is, EDL‐Dist. The advantages of EDL‐Dist are threefold. First, the inference and the training process is separated. Second, elastic available computing resources can be utilized to improve the efficiency. Third, fault‐tolerance of the training and inference processes is supported. We take extensive experimentation to show that the throughput of EDL‐Dist is up to 3.125 times faster than the baseline method (online knowledge distillation) while the accuracy is similar or higher.

Digital Peer Interactions and Knowledge Transfers: Evidence from Online Business Education

Online learning and knowledge exchange have grown tremendously over the past decade and popularity has accelerated further during the recent COVID-19 pandemic. However, most platforms face common challenges of low user engagement and online education suffers from low course completion in addition. As it remains an open puzzle how these frictions can be overcome, we ask if and which social interactions can contribute to efficient knowledge exchange online. Using a unique dataset of 21,000 working professionals enrolled in business skills training courses of an elite U.S. business school over five years, we show a significantly positive relationship between social interactions and learning outcomes. To examine mechanisms, we develop a novel comment classification matrix of individuals’ comments using cutting-edge NLP methods. Our results suggest that there is considerable heterogeneity in the way that learners communicate with one another and, in particular, disagreement as well as receiving ‘likes’ on one’s content, can spark follow-on interactions. Our results have direct implications for fostering improved engagement and performance in online courses. Hence, designers of digital (learning) platforms may want to harvest the power of social interactions better to facilitate knowledge flows and peer-to-peer learning among users.

Capitalizing online knowledge networks: from individual knowledge acquisition towards organizational achievements

PurposeThis paper aims to explore the relationships among several key constructs which link the individual’s motivation for knowledge acquisition to his affiliation with online knowledge networks, to further access the intellectual capital of the network as a prerequisite for organizational achievement.Design/methodology/approachAn online survey with 227 members of higher education and research centers from 30 countries was carried out between July and September 2021. The data were analyzed by means of partial least squares structural equation modeling technique, using the statistics software package SmartPLS 3.0.FindingsIndividual motivation to acquire knowledge has a significant influence on the affiliation with online academic networks approached as online knowledge networks. Further, active engagement with the network’s intangible resources leads to a significant harnessing of the three-component intellectual capital, that is, human, structural and relational capital. Human and relational capital is proven to exert a significant effect on organizational achievements, whereas structural capital falls short of reporting a meaningful influence on the dependent variable.Research limitations/implicationsThis research adds new knowledge to the capitalization of online knowledge networks and its influence on organizational achievements via intellectual capital.Originality/valueA novel perspective is advanced in which online knowledge networks are acknowledged as a pivotal bond and nonlinear integrator between the individual level of knowledge fields and organizational knowledge leveraged into organizational achievements.

Exploring the Impact of Social Media in Education and Employment in Youth

During the previous several years, the use of social media has exploded. It is not only utilised by working people, but it is also becoming increasingly popular among students, or in the education society. During the previous several years, the use of social media has exploded. It is not only utilised by working people, but it is also becoming increasingly popular among students, or in the education society. This study is an attempt to investigate the applicability and utility of social media in transferring resources and interacting with academicians in higher education institutions and employment, an area of research that has remained largely unexplored. This empirical study is based on a survey of some students from a Maharashtra College in India, with the goal of understanding students' perceptions of social media and mobile devices through collaborative learning, interactivity with peers, and teachers, as well as their impact on academic performance. According to the findings, using online social media for collaborative learning had a substantial impact on peer interaction, teacher interaction, and online knowledge sharing behaviour.

Green Recruitment Practices and Employees’ Green Behaviour in the eThekwini Municipality of South Africa

Discussions on green recruitment practices are sparsely interrogated in the canon of green human resource management literature (GHRM). Existing studies have focused on other areas of GHRM, especially in South Africa. This study addresses this gap through the examination of green recruitment best practices for employees’ green behaviour, and unearths the collection of challenges plaguing green recruitment practices. The study purposively recruited 12 units’ managers and employees from the corporate and human resource cluster of the eThekwini municipality. The semi-structure interview was employed to collect data and the NVivo (v.12) qualitative software was employed to identify themes and sub-themes from the transcript. The content qualitative analytical tool was employed to make sense of the themes and sub-themes respectively. Findings show a collection of green recruitment practices including the use of automated application process replacing the paper based application, the application of green interview process through Skype and Zoom and the advertisement of jobs on LinkedIn and other e-career portals. Other practices include the use of psychometric test in evaluating applicants’ green behaviour value system and the setting up of a computer laboratory as job application hubs. The challenge of green recruitment practices include political interference, limited access to online facilities for job applicants, lack of online knowledge and skills and resistance to change. The study concludes on the need for a more strategic and innovative green recruitment practices and measures to address these challenges in the eThekwini municipality.

Patterns and conversational structure of knowledge sharing on Ebola virus disease among healthcare practitioners: Observations from a pilot study

This pilot study was designed to determine the conversational structure on Ebola Virus Disease (EVD), pattern of knowledge sharing and knowledge sharing behaviour of healthcare practitioners (HCP) on Medscape online network. The study was guided by Conversation Theory, and deployed a retrospective document/content analysis research design. Ninety-two comments from healthcare practitioners including 16 EVD newsposts out of 37 EVD news were randomly extracted from the network between 2014 and 2018. Extracted data were analysed using NVivo and Microsoft Excel applications. An EVD knowledge taxonomy was developed from the content mapping of EVD topics posted on the network. Results from the pilot study revealed that news on EVD were mostly on EVD outbreak management at the peak period of EVD outbreak in 2014. Also, the HCPs mostly engaged in knowledge sharing on issues relating to EVD risk. Findings revealed that the entire (37) newsposts were of interest to HCPs and they responded to 16 newsposts. There were three active and influential HCPs on the network. The novelty of this study stems from its focus on conversation patterns of HCP on online knowledge sharing using the variables of Conversation theory to examine their knowledge sharing behaviours. The outcome of the study could serve as a model for other studies on other trending viral diseases such as Coronavirus, Lassa Fever, Monkey pox, etc. This study thus recommends replicate analysis in the main study with a larger data set with further findings using network analysis and other statistical tools to examine the conversational structure on EVD and pattern of knowledge sharing among the HCPs.

Higher Education to Support Sustainable Development: The Influence of Information Literacy and Online Learning Process on Chinese Postgraduates’ Innovation Performance

Digitalization provides opportunities for sustainable development. Cultivating postgraduates’ digital skills is an important task of higher education to support sustainable development (HESD). As a crucial way of cultivating digital skills, high-quality online learning processes are of great significance to achieve “Quality Education”, in line with the 2030 sustainable development agenda. Based on Biggs’s 3P (Presage-Process-Product) learning model, this study focused on the whole learning process and explored the relationship among postgraduates’ information literacy, online platforms, online knowledge-sharing processes and their innovation performance. The analysis of a questionnaire survey of 501 Chinese postgraduates showed that (1) information literacy has a positively predictive effect on postgraduates’ innovation performance; (2) different online learning processes lead to different learning results. Compared to the quantity-oriented online knowledge sharing process (Qty-KSP), the quality-oriented online knowledge sharing process (Qlty-KSP) is related to better innovation performance, which opens onto this study’s third finding: (3) Qty-KSP and Qlty-KSP play a parallel mediating effect between postgraduates’ information literacy and their innovation performance. Compared to Qty-KSP, Qlty-KSP is a more powerful intermediary variable, which leads to this study’s fourth finding; (4) an efficient online learning environment can contribute to higher-quality online learning process, thus improving postgraduates’ innovative performance. This study suggests that policy makers should develop postgraduates’ digital skills for sustainable development in the digital age. This can be achieved by (1) cultivating postgraduates’ information literacy; (2) encouraging them to practice high-quality online learning processes; and (3) providing an efficient sharing platform for sustainability, resilience, and digitalization in higher education.

RETRACTED: Online Surveys

This experimental study investigated factors that influence cheating in health literacy surveys. The objective was to predict who is most likely to cheat using Google in online knowledge surveys. The experiment randomly assigned 265 participants into three research conditions. The first group completed a pen-and-paper version of the health literacy questionnaire. The second group and the third group completed an online version of the same questionnaire, while the participants of the latter group were explicitly asked to be honest. The number of correct answers was higher in the online groups, indicating that respondents to online surveys were more likely to ‘cheat' by using search engines to answer questions. A positive correlation was found between the ability to seek health information on the web, and the probability that a participant would cheat without the request to avoid using the internet. In the online group with a request to be honest, no correlation was found. The conclusion is that people who have high ability to seek information online are most likely to cheat.

Online Knowledge Translation Program Involving Video Games and University Student-Led Tutorials About Cannabis and Psychosis for Black Youth: Mixed Method Feasibility Study.

BackgroundWe have piloted a new online knowledge translation (KT) program created to educate youth about cannabis effects, which uniquely focuses on mental health risks for Black youth. Youth are generally unaware of the research linking underage usage and the risk of psychosis. Youth from some Black racialized communities in Ontario may be disproportionately affected and in need of this knowledge.ObjectiveBecause very little is known about the acceptability and feasibility of programs educating Black youth about cannabis and psychosis risk, we evaluated this KT program, which consists of tutorials facilitated by university students and video games.MethodsThis mixed methods pilot study evaluates the transfer of knowledge about cannabis and psychosis risk before and after the online KT program and, at the same time, explores participant satisfaction with the program and views about underage use. Eligible participants were youth 16-19 years of age of Black African or Caribbean descent. Trained undergraduate students from McMaster University administered a quiz (psychosis and cannabis test; PCT) to evaluate knowledge before and after the KT program. After playing the psychoeducational video games, participants attended two tutorial group sessions led by undergraduate students. The undergraduate students facilitated the online tutorials about cannabis and psychosis. The tutorials augmented the educational content embedded within the gameplay: participants discussed what they learned from the video games and their understanding of psychosis and the effects of cannabis. In addition, undergraduate students qualitatively analyzed the tutorial discussions for themes, and the prequiz and postquiz scores were analyzed for significant differences in scores.ResultsA total of 9 Black youth were recruited and completed this pilot study. The mean PCT scores were 5.67 (SD 1.7) and 7.78 (SD 1.8) before and after the KT program, respectively. There was a significant improvement in scores (P<.05) post-KT program. Thematic analysis of the facilitated tutorials revealed three major themes: video game satisfaction, marijuana and psychosis literacy, and help-seeking awareness. Overall, participants showed an increased awareness and understanding of the subject matter after the gameplay and tutorial intervention.ConclusionsWhen supplemented with tutorial sessions, the Back to Reality Series shows promise for addressing the gap in knowledge about cannabis and psychosis, and the results provide preliminary evidence that the games appeal to Black youth.

Evaluating the Impact of Community Experience on Purchase Intention in Online Knowledge Community.

Community experience has an important influence on the brand building of an online knowledge community. By enhancing the community experience of members, it can promote the building of an online knowledge community and increase users' purchase intention. Although existing research has explored the influence model of community experience, there is a dearth of research regarding the influence of community experience on purchase intention. To this end, this study uses the online knowledge community experience as a theoretical basis to construct a mediating model to examine the behavioral patterns of consumers using the online knowledge communities and to explore in detail the mechanisms of the different dimensions of the community experience on purchase intention. It was found that not only the three dimensions of community experience (i.e., information experience, entertainment experience, and interactive experience) had a significant effect on brand identity, but also brand identity had a significant effect on purchase intention. The study also confirmed that brand identity mediates the relationship between community experience and purchase intention. This study reveals the mediating mechanism of community experience on purchase intention and helps to effectively guide the innovative management practices of the online knowledge community.

The mediating effect of knowledge sharing in the relationship between factors affecting knowledge sharing and reflective thinking: the case of English literature students during the COVID-19 crisis

The COVID-19 pandemic has had serious implications on educational systems worldwide and, hence, online courses have been organized. It is expected that the use of online learning in higher education promote knowledge sharing among students and the sharing of knowledge result in the improvement of reflective thinking among them. As such, we examined the knowledge sharing behavior among the undergraduate students in online learning English literature courses, the student’ perceptions towards reflective thinking, the relationship between the students’ knowledge sharing and reflective thinking, and finally, we tested a structural model of factors affecting knowledge sharing components, knowledge sharing, and reflective thinking. The data were collected through two surveys of 104 Iranian English literature students. A Pearson’s correlation coefficient and path analysis were used to analyze the data and to generate a model. The results showed that the students’ online knowledge sharing behavior and their perceptions towards reflective thinking are at unacceptable levels. Furthermore, a significant relationship was found between factors affecting knowledge sharing with the students’ knowledge sharing behavior, and between knowledge sharing and reflective thinking. The results also confirmed the mediator role of knowledge sharing and supported the hypothesized model of the relationships among the variables. Pedagogical implications of the study are finally discussed.

Enriching Knowledge Representation of Terminology

Whereas a number of studies have been conducted towards representing knowledge linked with terms, terminological knowledge still demands further exploration due to its diversity and intricacy. Although much recent cognitive terminological research has examined either frames or event structures based on specialized contexts and hence has helped improve the clarification of relevant knowledge representation, other types of knowledge structures tied to terms like metaphoric and metonymic structures as well as conceptual blending processes of terms have not yet been adequately investigated. In view of this gap, we put forward a cognitive integrated model (CIM), attempting to integrate cognitive structures and construction of terms in a holistic manner. In this study, we mainly center on integration of the decontextualized part: the adapted (ECM1), conceptual metaphor (CM1), conceptual metonymy (CM2), and conceptual blending (CB1) in light of terminological definitions without context, acting as offline knowledge of terms. Integration of the contextualized part is briefly discussed, merely about the adjusted ECM within context (ECM2) as online knowledge. The tentative incorporation of both offline and online knowledge of terms derives at least five particular variants of the CIM: ECM1+ECM2, ECM1+CB1+ECM2, ECM1+CM1+CB1+ECM2, ECM1+CM2+CB1+ECM2, ECM1+CM1+CM2+CB1+ECM2. Accordingly, both definition-based and usage-based methods are exploited, respectively backed up by dictionaries or professional works and corpora, etc. We subsequently apply the five variants to representing Event-Domain Cognitive Model knowledge of international trade terms previously seldom explored in terminology. It turns out that the cognitive integrated perspective contributes to enriching knowledge representation of the terms by exposing diverse knowledge structures and conceptual construction.

Increased use of cadaver specimens as a method for improving medical student satisfaction with clinical ear anatomy teaching at St George's, University of London: a pilot study.

Delivering sufficient otology education for undergraduates is known to be difficult, with limited teaching time being a contributing factor. Increasing student access to dissections of the ear could serve to increase satisfaction with teaching at St George's, University of London, UK. To evaluate student satisfaction with clinical ear anatomy teaching and investigate whether it can be improved using dissected specimens. Participants completed an online survey and knowledge examinations, both before and after attending a new tutorial, with answers from before and after the session being compared. Pre-teaching satisfaction scores concerning teaching were low, at an average of 2.45 (out of 7), with a mean examination result of 6.53 (out of 10). Post-teaching average satisfaction increased by 3.20 points to 5.65 (out of 7) (p < 0.01) and examination scores increased by 1.53 points to 8.07 (out of 10) (p < 0.01). Students are supportive of increased access to cadaver dissections of the ear, and facilitating this can improve satisfaction with otology teaching.

COVID-19 Routes of Transmission, Protection Aids, and Immunity Enhancement: Community-Based Online Knowledge Survey Among Palestinians.

Coronavirus disease in 2019 has been defined as a pandemic by the World Health Organization. This study aimed to assess the level of knowledge toward the coronavirus disease 2019 among the Palestinian population. A cross-sectional online survey among 554 Palestinians was designed. A structured self-administered online questionnaire was distributed among 190 participants from West Bank and 364 from Gaza Strip during the outbreak through social media. The survey was conducted between 10th and 24th of October, 2020. Of the total enrolled participants, 401 were males and 153 were females; the mean age was 28.4 years with a standard deviation of 10.97. Results showed that the means of knowledge about coronavirus disease 2019 were: 76.7% (standard deviation = 12.8), 72.2 (standard deviation = 10.3), 77.7% (standard deviation = 11.0) for general knowledge, the transmission of coronavirus disease 2019, and immunity and protection aids, respectively. Univariate regression revealed significant associations among the level of knowledge and gender, governorates, education levels, and employment status. However, only gender remained a significant explanatory variable in multivariable analysis, as females were nearly four times more knowledgeable than males (OR = 3.94; 95% CI =1.71, 9.07; p = .001). In general, Palestinians had good knowledge about coronavirus disease 2019, modes of transmission, and immunity knowledge. Knowledge was less among males than females. This may need more effort by using different tools of communication to reach more to the male gender.

Dynamics of the social construction of knowledge: an empirical study of Zhihu in China

This study examined how the knowledge market promotes knowledge construction on question-and-answer (Q&A) websites. Data were collected from Zhihu, one of the largest Q&A sites in China. Hierarchical linear modeling was employed to estimate the dynamics of information accumulation, that is, the provision of informative content as factual construction. By employing information accumulation as the objective measure of knowledge construction, we determined that online knowledge construction was facilitated by a competitive marketplace of ideas. In addition, participation, temporal, and discourse features affected the dynamics of information accumulation. In specific, active users contributed significantly less to information accumulation than did ordinary users. Information accumulation shows a naturally decaying process represented as a function of answer order. The time interval between answers at the two preceding time points reduced the informativeness of answers at the subsequent time point. Answers with a higher readability score reduced the informativeness of subsequent answers. The results indicate that knowledge construction on Q&A sites unfolds as a process of mass collaboration among users.