Knowledge-sharing Platform Research Articles

Potentials and Pitfalls of Mapping Nature-Based Solutions with the Online Citizen Science Platform ClimateScan

Online knowledge-sharing platforms could potentially contribute to an accelerated climate adaptation by promoting more green and blue spaces in urban areas. The implementation of small-scale nature-based solutions (NBS) such as bio(swales), green roofs, and green walls requires the involvement and enthusiasm of multiple stakeholders. This paper discusses how online citizen science platforms can stimulate stakeholder engagement and promote NBS, which is illustrated with the case of ClimateScan. Three main concerns related to online platforms are addressed: the period of relevance of the platform, the lack of knowledge about the inclusiveness and characteristics of the contributors, and the ability of sustaining a well-functioning community with limited resources. ClimateScan has adopted a “bottom–up” approach in which users have much freedom to create and update content. Within six years, this has resulted in an illustrated map with over 5000 NBS projects around the globe and an average of more than 100 visitors a day. However, points of concern are identified regarding the data quality and the aspect of community-building. Although the numbers of users are rising, only a few users have remained involved. Learning from these remaining top users and their motivations, we draw general lessons and make suggestions for stimulating long-term engagement on online knowledge-sharing platforms.

Towards a "Net" generation of Pathologists: the pathCast online remote learning platform.

SummaryIn recent years, digital and communication technology has been changing the way to spread knowledge in Medicine. In the field of Pathology, several remote learning resources have been made available through multiple social media platforms (Facebook, Twitter and others), YouTube channels and dedicated Websites, with a growing number of freely available lectures or tutorials, broadcasted live and/or archived for on-demand viewing. All these internet-based resources enable the pursuit of a flexible, independent, self-motivated and self-directed way of learning that fits perfectly with the increasing limitations of time, space and speed of modern day learners.These resources have played a significant role in filling the void of conventional education during the ongoing Covid-19 pandemic. Moreover, with their widespread diffusion throughout communities of Pathologists from all over the world they help to reduce the educational gap between resource-rich and resource-poor countries, having the potential to become standardized knowledge-sharing platforms and to be incorporated into curricula at any level.pathCast is one of the most robust and reliable open-access online remote learning platforms for pathologists, which live-streams lectures across the world. In the present paper we describe its structure, its acceptance by the global community of pathologists, what innovation elements has introduced regarding methodologies for education and its powerful and positive impact for residency training and continuing life-long education of practicing pathologists. A comprehensive list of the pathCast lectures with the respective links is also provided along with a brief discussion on other freely accessible online educational resources for pathologists.

Evaluating community question-answering websites using interval-valued intuitionistic fuzzy DANP and TODIM methods

As important knowledge-sharing platforms, community question-answering (CQA) websites have attracted the attention of many users. An evaluation of the quality of CQA websites can assist users in selecting high-quality CQA websites and can help the operators of CQA websites achieve the most beneficial improvements. An approach to the evaluation of CQA websites is proposed in this study. First, a CQA service quality model is constructed to evaluate the quality of CQA websites based on the E-SERVQUAL model. A novel multicriteria decision-making (MCDM) model is proposed to address the ratings. In the model, uncertainty and consistency are combined in an interval-valued intuitionistic fuzzy (IVIF) environment to determine two kinds of expert weights. The DANP method, along with experts’ weights, is extended to the IVIF environment to derive the criteria weights. The IVIF TODIM method, along with experts’ weights, is used to rank the CQA websites in terms of quality. Finally, the proposed approach is applied to evaluate the quality of five CQA websites. The experimental results of the application, along with sensitivity analysis and comparative analysis, demonstrate the feasibility and practicality of the proposed approach.

Influence of intrinsic motivations on the continuity of scientific knowledge contribution to online knowledge-sharing platforms

Scientific knowledge contribution to online knowledge-sharing platforms has long been regarded as instrumental behavior based on utilitarian considerations. Employing cognitive evaluation theory, this study examines scientific expert users' behavioral metrics to understand the factors responsible for users continuing to contribute their scientific knowledge for an extended period or a very short span. We found that expert users' intrinsic motivations, which has received little attention in recent studies, constitute an important indicator of sustained online scientific knowledge contribution. Furthermore, although social rewards fail to predict the continuity of scientific knowledge contribution, they prolong the duration of knowledge contribution by enhancing the intrinsic motivations of expert users. In conclusion, a self-reinforcement mechanism underlies the relationship of intrinsic motivation with social rewards, which governs continuous online scientific knowledge contribution behavior.

Rapid, multimodal, critical care knowledge-sharing platform for COVID-19 pandemics.

In many areas of the world, critical care providers caring for COVID-19 patients lacked specific knowledge and were exposed to the abundance of new and unfiltered information. With support from the World Health Organization, we created a multimodal tele-education intervention to rapidly share critical care knowledge related to COVID-19 targeting providers in a region of Southeastern Europe. We delivered 60-minute weekly interactive tele-education sessions over YouTube™ between March and May 2020, supplemented by a dedicated webpage. The intervention was reinforced using a secure social media platform (Viber™) providing continuous rapid knowledge exchange among faculty and learners. A high level of engagement was observed with over 2,000 clinicians participating and actively interacting over a six-week period. Surveyed participants were highly satisfied with the intervention. Tele-education interventions using social media platforms are feasible, low-cost, and effective methods to share knowledge during the COVID-19 pandemic.

A hover view over Australia's Hydrogen Industry in recent history: The necessity for a Hydrogen Industry Knowledge-Sharing Platform

The hydrogen industry in Australia has gained tremendous momentum in 2018 and after the publishing of the National Hydrogen Roadmap. In this study, a comprehensive review of the recent history of hydrogen-related activities and publications, as well as hydrogen funding programs and the funded projects, was conducted. Most of these activities were tabulated and discussed from the perspective of sorting, documentation, and contrast. The broad picture indicates the need and necessity of a unified national database for the hydrogen industry landscape. An innovative modular online (web-based) crowdsourced database platform is introduced in this paper as the “Australia Hydrogen Industry Knowledge-Sharing Platform” to include all hydrogen-related activities in Australia. This web-based platform will be presented in the form of a business to generate revenue to offset operation and maintenance costs and ensure the system updating. This study will not only guide the Australian governments and/or stakeholders to develop a hydrogen economy for the future but also other countries to promote their hydrogen industry.

Do you have confidence in how your rolling stock has been maintained? A blockchain-led knowledge-sharing platform for building trust between stakeholders

This study explores the potential of blockchain technology in enhancing trust among the stakeholders responsible for the maintenance of rolling stock. Although the technology has been widely successful in the financial sector, it is still novel in the maintenance field. Given the customized nature of maintenance processes, it is unclear if a suitable consensus protocol can be identified that can enhance trust among stakeholders. This problem is investigated through the lens of the Design Science Research Methodology. First, the theoretical background of blockchain technology and its role in enhancing trust are explained, followed by the analysis of a current case at a Railway company to test the proof of concept. A business network archive is developed for the maintenance management of the sliding step of the train door system. The archive encompasses the business logic and transactional data required to enhance trust among stakeholders in the quality of performed maintenance. The developed archive is deployed on Hyperledger Fabric and the effectiveness of the solution is evaluated through a survey. The results show that the developed business network, deployed on a customized Hyperledger Fabric consensus protocol, enhanced trust among the stakeholders involved.

Transformation of educational roles of library-supported mobile learning: a literature review from 2009 to 2018

PurposeThis study aims to explore the transformation of the roles of libraries, application trends and potential research issues of library-supported mobile learning.Design/methodology/approachThe publications in the Scopus database from 2009 to 2018 are reviewed and analyzed from various aspects, such as the roles of libraries in mobile learning, types of libraries, research foci and sensing or location-based technologies.FindingsThe role of libraries as learning material providers is examined the most in library-supported mobile learning studies, followed by the role as inquiry context providers and as knowledge-sharing platforms. In terms of the role as learning material providers, academic libraries were investigated the most and radio frequency identification (RFID) was mainly adopted. In terms of the role as inquiry context providers, special libraries were explored the most; adopted sensing technologies were more diverse (e.g. QR code, augmented reality, RFID and Global Positioning System). Only special libraries played a role as knowledge-sharing platforms, adopting augmented reality. Most research on library-supported mobile learning mainly focused on investigating the affective domain during mobile learning.Practical implicationsFive potential applications of educational roles in library-supported mobile learning are suggested based on the findings of the present study.Originality/valueThe current study provides insights relevant to the educational roles of library-supported mobile learning. The findings and suggestions can serve as references for researchers and school teachers conducting library-supported mobile learning.

Farmer-to-farmer digital network as a strategy to strengthen agricultural performance in Kenya: A research note on ‘Wefarm’ platform

The potential to utitilize mobile phone innovations in providing customized agricultural information and services to improve smallholder farmers’ performance in sub-Saharan Africa (SSA) remains largely untapped. This is at the backdrop of the increasing emergence and adoption of ICT services as a means of relaying agricultural information to small-scale farmers and extension workers. One such technology is ‘Wefarm’ in Kenya, an SMS-based knowledge-sharing platform that enables farmers to connect with their peers and exchange knowledge about their production systems. Even though targeted to improve farmers’ access to information related to agricultural production, marketing and financial services, the extent to which these goals are achieved has not been evaluated. A pathway to improve technology adoption is by proving that the technology can enable farmers to attain their livelihood objectives. This short research note, therefore, identifies critical knowledge gaps for which evidence is required to inform policy and practice to enable stakeholders to harness the potential of ICT based innovations offered for agricultural development in SSA.

Knowledge Sharing Platforms: An Empirical Study of the Factors Affecting Continued Use Intention

Under the background of the constant development of sharing economy and constant upgrade of Internet technologies, various knowledge sharing platforms have emerged in recent years. As a new form for sharing economy, knowledge sharing platforms have made great strides, thus, providing new channels of knowledge acquisition, knowledge sharing and individual knowledge storage for users. Nevertheless, knowledge sharing platforms are still faced with problems, such as uneven product quality (Content quality) and poor user experience. Therefore, how to maintain consumers’ continued use intention without impairing consumer satisfaction has obviously become an issue of great concern on the development path of knowledge sharing platforms. Based on the expectation confirmation theory (ECT) and information system (IS) success model, and integrating major characteristics of knowledge sharing platforms, the conceptual models and hypotheses influencing consumers’ continued use intention of knowledge sharing platforms are built to study primary factors affecting consumers’ continued use intention. Through online and offline questionnaires, 428 copies were collected online, and 150 copies were collected offline, with a total of 578 copies recovered. We deleted some questionnaires with untrue and contradictory answers, because these interviewees might not have carefully read. A questionnaire is conducted with 512 valid copies collected from respondents. At the same time, the structural equation model (SEM) is used to verify and analyze hypotheses. Results show that various variables have a direct or indirect influence on consumers’ continued our intention. Meanwhile, it is observed that perceived usefulness and satisfaction degree have a significant influence on continued use intention of knowledge sharing platforms. The higher the satisfaction degree is, the more likely the consumers will continue using knowledge sharing platforms. The expectation confirmation degree exerts an indirect influence on consumers’ continued use intention of knowledge sharing platforms via perceived usefulness. The IS success model can also significantly influence consumers’ satisfaction degree of knowledge sharing platforms. Additionally, perceived usefulness is observed to have the strongest influence on consumers’ continued use intention of knowledge sharing platforms. According to the above research findings, knowledge sharing platforms should strengthen their content quality control, ensure the consistency between service quality and payment, and improve the platform quality. To sum up, this research can provide theoretical bases for sustainable development and follow-up research of the knowledge sharing platform industry.

Communicating Science in the New Media Environment: The Advancement of Science Literacy

Science is the social foundation that encompasses all facets of life, from educating individuals, to allowing them to make informed decisions in their daily lives. Science is ultimately our way of learning about life; thus, the field of science education must acknowledge the significance of, and pressing need for scientific literacy in creating conscious, well-informed citizens in today’s world. The debate on the credibility of science content and information offered by media experts is especially pertinent to science communication. New media is the new sphere that allocates knowledge and its processing to various audiences. New media technologies have revolutionized the realm of interactivity, allowing for knowledge-sharing platforms to be among the novel digital forms of communications. This exploratory study discusses the fluctuating familiarity with the term “scientific literacy”, that extends beyond the use of skills. The purpose of this study is to examine the Egyptian public’s utilization and consumption of new media tools, with a focus on scientific information and popular science topics. Moreover, this study aims to examine the Egyptian public’s perception of the concept of “scientific literacy”, and delves deeper by investigating the different levels of science literacy that make an individual “scientifically-literate.” This study used an online questionnaire to assess motivation factors for new media preeminence in science communication in comparison to traditional media. The study also provided examination of success factors for the advancement of scientific literacy in Egypt, as well as factors prohibiting that advancement of scientific literacy.

Knowledge Sharing and Learning Among Smallholders in Developing Economies: Implications, Incentives, and Reward Mechanisms

Recently, agricultural knowledge-sharing platforms emerged to facilitate knowledge exchange among smallholders so as to enhance farmers' productivity. Despite the active interactions among farmers ...

Caring in the age of COVID-19: lessons from science and society.

This paper focuses on our research and intervention in health promotion with patients and communities affected by various infectious diseases, in the project Knowledge-Sharing Platform. This project is developed at the National Institute of Infectious Diseases Evandro Chagas in the Oswaldo Cruz Foundation, Rio de Janeiro, Brazil, and promotes the continuing involvement of health researchers and professionals in the collaborative production of knowledge on health with patients and community groups and in their training as community health promoters. The new epidemic scenario created the demand for a space of dialogue and knowledge-sharing on the prevention of COVID-19 transmission. Due to the interruption of regular activities in the Knowledge-Sharing Platform, a strategy was launched to serve as a link between science and society and help overcome the social isolation imposed by the COVID-19 pandemic. The WhatsApp group allowed project members to participate by addressing questions (audio) on COVID-19 through mediation by community group leaders. The main questions by participants related to risk factors, transmission, immunity to the novel coronavirus, care related to prevention, symptoms, and treatment; and COVID-19 and influenza vaccine. The educational material Caring in the Age of COVID-19 was produced and shared with community leaders and distributed to the respective groups and was eventually shared in their communities as a response to a demand for knowledge that responds to the concerns of people already exposed to structural vulnerability.

Implementing professional learning community in rural Malaysian primary schools: exploring teacher feedback

This study investigates whether teachers in rural primary schools are satisfied with the implementation of professional learning community (PLC) and with its practicality and suitability in the rural settings. Using a pragmatic mixed-method, we obtained the viewpoints of 338 rural primary teachers on the effectiveness of PLC implementation within their schools. Furthermore, eight rural primary teachers were interviewed to explore the benefits and challenges of PLC in the sampled schools. The findings reveal that rural primary teachers feel contented with the PLC implementation within their schools. They note the benefits of the program as part of their effective professional development. Other benefits, such as the establishment of teachers' teamwork culture and the ability of the program to support teachers' learning process, were also addressed. PLC was also described as an effective knowledge-sharing platform. The findings also disclose some challenges such as lack of time, negative attitudes of teachers and financial constraints that impeded the effective execution of PLC at rural primary schools. The findings suggest improvements to the practices of rural primary schools.

Does the knowledge-sharing platform specialist matter in knowledge sharing for secured KMS?

BACKGROUND: Knowledge remains a competitive, intangible resource in today’s contemporary organizations. Most knowledge management initiatives aimed at leveraging knowledge for sustainable corporate performance. Knowledge sharing is fundamental to growing intellectual capital. Security on knowledge resources is a prerequisite to quality knowledge content. To increase trust in both knowledge content and security, a knowledge-sharing platform specialist (KsPS) plays a significant role in the overall management and authentication of corporate intellectual capital. OBJECTIVE: This paper analyzes the contributive role of the KsPS and investigates whether or not KsPS matters in strengthening knowledge quality and security in organizations. METHODS: We conducted a broader review of relevant literature on issues relating to knowledge management, knowledge security, KsPS, and sharing platforms to have a better understanding of roles played by the KsPS. Besides, 18 KsPS from 15 organizations were interviewed through telephone or Skype regarding their role expectations in knowledge sharing, quality, and security in the knowledge management system (KMS). Thematic analysis was done to obtain the relevant themes for the study. RESULTS: The study established that the KsPS provides quality facilitative roles in knowledge-sharing processes for secured KMS. Thus, the KsPS significantly contributes to knowledge codification and internalization. CONCLUSIONS: With very little recognition of the KsPS in the existing KMS literature, this study draws attention to the management of organizations about the need to invest in a KsPS for quality knowledge support services and increased knowledge security.

Implementing professional learning community in rural Malaysian primary schools: exploring teacher feedback

This study investigates whether teachers in rural primary schools are satisfied with the implementation of professional learning community (PLC) and with its practicality and suitability in the rural settings. Using a pragmatic mixed-method, we obtained the viewpoints of 338 rural primary teachers on the effectiveness of PLC implementation within their schools. Furthermore, eight rural primary teachers were interviewed to explore the benefits and challenges of PLC in the sampled schools. The findings reveal that rural primary teachers feel contented with the PLC implementation within their schools. They note the benefits of the program as part of their effective professional development. Other benefits, such as the establishment of teachers' teamwork culture and the ability of the program to support teachers' learning process, were also addressed. PLC was also described as an effective knowledge-sharing platform. The findings also disclose some challenges such as lack of time, negative attitudes of teachers and financial constraints that impeded the effective execution of PLC at rural primary schools. The findings suggest improvements to the practices of rural primary schools.

Perceived Community Support, Users' Interactions, and Value Co-Creation in Online Health Community: The Moderating Effect of Social Exclusion.

Online health communities (OHCs) face the same problem as other social media platforms in terms of decreasing activity and user attrition. Drawing upon organizational support theory, this study explores how perceived community support affects user interactions and value co-creation which in turn influence their continuous participation. OHCs act as both health knowledge-sharing platforms and important social media for patients, and thus, interpersonal interactions in OHCs are categorized into health-related and general topic interactions. Considering the identity of patients, this study also examines the moderating effect of user-perceived social exclusion on the relationship between community support and user interaction. A total of 292 valid samples from a diabetic patient community in China were used to examine the proposed hypotheses through structural equation modeling. The results show that: (1) Community support has a positive effect on health topic and general topic interactions; (2) both types of interactions have significant positive effects on users’ perceived functional and social values, while general topic interaction is also related positively to users’ perceived affective value; (3) perceived functional value can result directly in continuous participation, while perceived social value contributes indirectly to continuous participation intention through perceived affective value; and (4) users perceived higher social exclusion are more influenced by community support to participate in health topic interactions than those who perceived lower social exclusion, while no significant difference in general topic interactions between two groups. The results of this study can provide implications for both researchers and practitioners.

Identification of Duplication in Questions Posed on Knowledge Sharing Platform Quora using Machine Learning Techniques

Quora, an online question-answering platform has a lot of duplicate questions i.e. questions that convey the same meaning. Since it is open to all users, anyone can pose a question any number of times this increases the count of duplicate questions. This paper uses a dataset comprising of question pairs (taken from the Quora website) in different columns with an indication of whether the pair of questions are duplicates or not. Traditional comparison methods like Sequence matcher perform a letter by letter comparison without understanding the contextual information, hence they give lower accuracy. Machine learning methods predict the similarity using features extracted from the context. Both the traditional methods as well as the machine learning methods were compared in this study. The features for the machine learning methods are extracted using the Bag of Words models- Count-Vectorizer and TFIDF-Vectorizer. Among the traditional comparison methods, Sequence matcher gave the highest accuracy of 65.29%. Among the machine learning methods XGBoost gave the highest accuracy, 80.89% when Count-Vectorizer is used and 80.12% when TFIDF-Vectorizer is used.

User Acceptance Evaluation of a Gamified Knowledge Sharing Platform for Use in Industrial Environments

This study evaluates user acceptance of a gamification-enabled collaboration and knowledge sharing platform that has been developed for use by personnel in industrial work environments, aiming at increasing motivation for knowledge exchange. The platform has been evaluated at two manufacturing industries by two groups of users, workers and supervisors, with regard to five criteria: usability, knowledge integration, working experience, user acceptance and overall impact. Results showed that even though the ratings from both industries were positive on all criteria, there is room for improvement on user acceptance and knowledge integration. Driven by this fact, a rule-based adaptive gamification approach which exploits information about workers is proposed in order to further increase motivation and engagement. Based on feedback received from the evaluation, guidelines related to functionalities and design of a gamified collaboration platform are provided. These guidelines can be followed when implementing collaboration tools with gamification support for industrial environments.

The development of an online implant manufacturer application: a knowledge-sharing platform for the Swedish Hip Arthroplasty Register

The development of an online implant manufacturer application: a knowledge-sharing platform for the Swedish Hip Arthroplasty Register