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The purpose of this study is to provide a bibliometric analysis of knowledge management (KM) literature published in the field of library and information science. KM is a systematic process of acquisition, extraction, organization and dissemination of knowledge in any organization. This study will help identify trends, emerging concepts and innovations in this particular field.

The data set of the study consists of 6,088 published documents the authors obtained from the ISI Web of Science database during 1900 and 2017. The analysis of literature about the library and information science consisted of five categories including productive institutions, prolific authors, annual publications, citations and highly cited articles. The documents included in this study include research papers, conference papers, reviews, book reviews and editorials.

The study found that the USA leads the world regarding the number of research publications in the area of KM in the field of library and information science. Considering the publication period, 2007, 2012 and 2016-2017 are the most productive years regarding publications in this particular field; the number of citations has been increasing over the years. The study also found that Nanyang Polytechnic University is the most productive research institution and Blanca Martins from the Polytechnic University of Catalonia is the most prolific researcher in this specific field.

This study provides a detailed bibliometric analysis of KM literature published in the field of library and information science. This study is an excellent example for researchers who are interested in conducting bibliometric studies.

Knowledge management (KM) is widely adopted by organisations to improve their performance and make informed decisions. Prior research has confirmed that Information Systems (IS) play a critical role in effective KM. The purpose of this study is to examine the existing literature on the role of cloud-based KM systems (C-KMS) in small- and medium-sized enterprise (SMEs) by understanding its impact on the five KM processes: knowledge acquisition, creation, storage, sharing and usage.

This study conducted a systematic literature review by examining 133 journal articles and 24 conference papers from 2010 to 2021 on the role of cloud computing in KM for SMEs.

This study revealed that there are numerous empirical analyses on KM processes and tools in SMEs; however, only few studies demonstrate how the whole gamut of KM processes can adopt cloud computing in SMEs. Therefore, SMEs are ineffective at KM with limited IS intervention. This paper offers a proposition on how C-KMS can impact all five KM process, thereby increasing its effectiveness of KM in SMEs. This study analysed the benefits of C-KMS that brings to SMEs in terms of availability, scalability, reliability, security and cost.

This systematic review is restricted to certain databases (ScienceDirect, Sage journals, Scopus and Emerald Insight) and specific IS conference proceedings to source articles. The selection of search criteria and time frame is based on this study’s assessment and choice. This study adds value to our understanding of the role of KM in SMEs, and it reinforces the role of cloud computing in effectively managing knowledge in SMEs. The proposal of C-KMS for the enhancement of KM has significant implications for SMEs to effectively use knowledge for their survival and superior performance.

This study suggests three practical implications. First, adopting and using C-KMS provide a strong foundation to manage knowledge for SMEs in a cost-effective way. Second, C-KMS improves the effectiveness of KM by increasing availability of knowledge artifacts, which in turn aids SMEs’ growth. Third, C-KMS is useful to codify SME’s knowledge, and accordingly supports employees to acquire and use knowledge based on their requirements.

This study discussed C-KMS with contemporary social issues, such as the COVID-19 pandemic challenges for SMEs and demonstrated how C-KMS can support SMEs to handle such crises by managing knowledge effectively.

This research highlights the importance of the implementation of a C-KMS for the enhancement of KM in SMEs. The review provides empirical evidence on the challenges faced by SMEs regarding KM, as they often only have enough resources to focus on a single KM process, predominantly knowledge sharing. Consequently, a holistic approach to KM cannot be realised by SMEs. In this context, the findings of this study offer theoretical and practical insights into the role of cloud computing by addressing the challenges of KM in SMEs.

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

Knowledge management (KM) is an important consideration in e‐government portals to ensure that knowledge flows efficiently between governments, individuals and organisations. A crucial aspect of e‐government portals that has not been addressed adequately is the extent to which KM mechanisms have been implemented. Specifically, the authors argue that appropriate KM mechanisms are necessary to support the access, creation and transfer of knowledge between these portals and their users. The paper aims to propose an evaluation model for this purpose by first defining the main KM mechanisms and then burrowing deeper into their constituent dimensions.

An evaluation model known as knowledge access, creation and transfer (K‐ACT) is presented which identifies three KM mechanisms for portals: knowledge access, creation and transfer. Each mechanism is characterised by a set of dimensions and sub‐dimensions representing the tools and features for supporting that mechanism. The model was derived from an analysis of the literature and validated by two independent reviewers who were trained in information science, were familiar with the objectives of the project and understood the concepts underlying KM implementation in portals. Using this model, a checklist was developed and applied to 60 e‐government portals in the Asian and North American regions to investigate the extent to which these KM mechanisms have been implemented.

The findings indicate that, on average, e‐government portals featured only about 36 per cent of the KM mechanisms described in the model. Furthermore, no significant differences in the implementation of the KM mechanisms were found between the two regions' portals. The evaluation also offered potential areas for improvement based on the K‐ACT model.

The present work has developed an evaluation model known as K‐ACT which can be used to assess KM implementation gaps in e‐government portals. This model can also be generalised to other types of portals. The evaluation also provides insights into the state of KM processes in the portals of the Asian and North American regions.

Social tagging systems allow users to assign keywords (tags) to useful resources, facilitating their future access by the tag creator and possibly by other users. Social tagging has both proponents and critics, and this paper aims to investigate if tags are an effective means of resource discovery.

The paper adopts techniques from text categorisation in which webpages and their associated tags from del.icio.us and trained Support Vector Machine (SVM) classifiers are downloaded to determine if the documents could be assigned to their associated tags. Two text categorisation experiments were conducted. The first used only the terms from the documents as features while the second experiment included tags in addition to terms as part of its feature set. Performance metrics used were precision, recall, accuracy and F1 score. A content analysis was also conducted to uncover characteristics of effective and ineffective tags for resource discovery.

Results from the classifiers were mixed, and the inclusion of tags as part of the feature set did not result in a statistically significant improvement (or degradation) of the performance of the SVM classifiers. This suggests that not all tags can be used for resource discovery by public users, confirming earlier work that there are many dynamic reasons for tagging documents that may not be apparent to others.

The authors extend their understanding of social classification and its utility in sharing and accessing resources. Results of this work may be used to guide development in social tagging systems as well as social tagging practices.

The purpose of this study is to examine the predictors of high‐quality answers in a community‐driven question answering service (Yahoo! Answers).

The identified predictors were organised into two categories: social and content features. Social features refer to the community aspects of the users and are extracted from explicit user interaction and feedback. Content features refer to the intrinsic and extrinsic content quality of answers that could be used to select the high‐quality answers. In total the framework built in this study comprises 17 features from two categories. Based on a randomly selected dataset of 1,600 question‐answer pairs from Yahoo! Answers, high‐quality answer predictors were identified.

The results of the analysis showed the importance of content appraisal features over social and textual content features. The features identified as strongly associated with high‐quality answers include positive votes, completeness, presentation, reliability and accuracy. Features weakly associated with high‐quality answers were high frequency words, answer length, and best answers answered. Features related to the asker's user history were found not to be associated with high‐quality answers.

This work could help in the reuse of answers for new questions. The study identified features that most influence the selection of high‐quality answers. Hence they could be used to select high‐quality answers for answering similar questions posed by users in the future. When a new question is posed, similar questions are first identified, and the answers for these questions are extracted and routed to the proposed quality framework for identifying high‐quality answers. Based on the overall quality index computed, the high‐quality answer could be returned to the asker.

Previous studies in identifying high‐quality answers were conducted using either of two approaches. First using social and textual content features found in community‐driven question answering services and second using content appraisal features by thorough assessment of answer quality provided by experts. However no study had integrated both approaches. Hence this study addresses this gap by developing an integrated generalisable framework to identify features that influence high‐quality answers.

Examines the dynamics of knowledge sharing using the multi‐person game‐theoretic framework. Proposes that an individual’s knowledge sharing tendency is driven by a set of contextualised concerns and interests not unlike the notion of payoff in game theory. Furthermore, the decision to share or withhold knowledge depends on that which yields a higher payoff. With this premise, submits two objectives. One is to investigate if an individual’s perceived payoff of sharing knowledge is contingent on the knowledge sharing behaviour of others. The other is to analyse the perceived payoff of knowledge sharing and determine if it can be characterised by an archetypical game in the game‐theoretic model. An empirical study was conducted among nearly 100 students in a local institute of higher education. The scope was confined to the students’ willingness to post asynchronous entries to an electronic discussion forum. Finds that the individual student’s perceived payoff of sharing knowledge was contingent on the knowledge sharing behaviour of others. Furthermore, the perceived payoff of knowledge sharing among them could be characterised by a multi‐person assurance game. In conclusion, discusses three implications for managers who aim to sustain asynchronous knowledge sharing in their organisations.

The purpose of this paper is to explore how small and medium-sized enterprises (SMEs) in China leverage their strengths to engage stakeholders in knowledge co-creation processes and get mutual benefit via knowledge-based view (KBV).

Based on KBV, the authors conduct a multiple-case study of five SMEs in China to embrace the knowledge co-creation practice using semi-structured interview, organizational documents and onsite observation.

This study highlights how SMEs leverage their strengths to engage stakeholder to co-create knowledge and practice for the better capturing and utilization of external and internal knowledge. The authors identify three processes of knowledge co-creation for SMEs based on knowledge sharing, knowledge integration and knowledge application in the B2B context. This study finds that SMEs engage their stakeholders in knowledge sharing by building and maintaining trust. The knowledge integration process was driven by the owner’s openness. Mutual learning facilitates the knowledge application process of SMEs.

This study relies on a limited number of case studies and considers only firms’ perspective to analyze the SMEs co-create knowledge with their stakeholders. Further studies could examine the challenge of knowledge co-creation in multiple stakeholders’ relationships in B2B contexts, i.e. in relation to product and service innovation with complexity and uncertainly.

Managers need to make choices when designing knowledge co-creation process in collaborative product development activities. The use of online and offline approaches can help balance requirements in terms of joint problem-solving across firms, the efficiency of knowledge co-creation and effective of knowledge leakage.

The conceptualization of knowledge co-creation as knowledge sharing and knowledge integration and knowledge application extends existing perspective on knowledge co-creation as either a transfer of knowledge or as revealing the novel situation of pertinent knowledge with entirely assimilate it. The findings point to the complexity of knowledge co-creation as a process influenced by stakeholder engagement, perspectives on knowledge, trust of multiple stakeholders, openness of firm boundaries and mutual learning of SMEs with their stakeholders.

The purpose of this paper is to investigate the different factors that affect using Web 2.0 applications in Omani academic libraries (OALs).

In all, 29 interviews with directors and library staff of five OALs were conducted for the purpose of collecting data for the current research.

The results indicated that there are nine internal factors and four external factors that affect using Web 2.0 applications in OALs. Internal factors include the low motivation of directors and library staff regarding using of Web 2.0 applications, lack of training and constant changes in the management structure. Meanwhile, the external factors are related to lack of policy and regulations and weakness and low speed of the internet.

Most academic libraries in Oman have not yet adopted Web 2.0 applications to enhance their services. Therefore, this study intends to open insight into the state of Web 2.0 adoption in academic libraries and will help library managers to understand factors facing the use of Web 2.0 applications in their libraries, and this could signal a basis for policy shift in the internet infrastructure especially in the institutions of the higher education.

This research is the first study in the field of Web 2.0 applications in OALs that investigates the factors affecting the use of Web 2.0 applications in academic libraries in general and in OALs specifically.

This study discusses that the necessary criteria and the solution approach taken to resolve the main spatial infection problems with a burn center design should be evaluated holistically to achieve spatial infection control in a burn center. The burn center design plays an important role in protecting severely burned patients from infection because the microbial flora of the hospital can affect the infection risk. In hospitals, sterilization and disinfection are the basic components of infection prevention; however, the prevention and control of infection for burn patients also requires the design of burn centers that adhere to a specific set of criteria that considers spatial infection control in addition to appropriate burn treatment methods and treatments. In this study, a burn facility converted from a burn unit into a burn center is introduced and the necessary design inputs for the transformation are discussed because there is no holistic study in the literature that delas with all the spaces that should be in a burn center and relations between spaces. This study aims to define the functional relations between each of the units and the spaces that change according to different sterilization demands in the burn center for ensuring spatial infection control. Furthermore, it aims to propose a method for ensuring continuity in the control of spatial infections.

The burn care and health facilities guidelines are examined within the framework of spatial standards, together with a comprehensive literature review. The design method was based on the spread of microorganisms and the effect of human movement on space and spatial transitions in the burn center, according to all relevant literature reviews. To determine the extent to which the differences in treatment protocols of burn care guidelines were reflected in the space, interviews were conducted with burn facility officials. The plan–do–check–act (PDCA) method is also modeled to ensure the continuity of infection control in the burn center.

The burn center design findings are classified under three main headings, namely, location of the burn center in the hospital, spatial organization and physical features of the burn center and the air flowing system. The importance of the interactions among the criteria for spatial infection control has been revealed. Due to the physical space characteristics and air flow characteristics that change according to human movement and the way microorganisms spread, it has been seen that designing the air flow and architectural aspects together has an effective role in providing spatial infection control. Accordingly, a functional relation scheme for the center has been suggested. It is also proposed as a model to ensure the continuity of infection control in the burn center.

This research presents spatial measures for infection control in burn centers for practitioners in health-care settings such as designers, engineers, doctors and nurses. The PDCA method also leads to continuity of infection control for hospital management.

This is the first study, to the best of the authors’ knowledge, to focus on developing the criteria for spatial infection control in burn center. Moreover, the aim is to create a function chart that encompasses the relationships between the units within the burn center design so that infection control can be coordinated spatially.