Pub Date : 2023-02-08DOI: 10.1142/s0219649223500065
Muhammad Ashraf Fauzi
This study aims to provide a scientific mapping based on a bibliographic database of knowledge sharing in the health community of practice (CoP) and online health communities (OHCs). These online platforms have provided an efficient means for members to share best practices, expertise, and information on health-related matters and acquire knowledge in the fast-moving health and medical field. Applying a bibliometric method, this study contributes to the body of knowledge concerning health CoP function, capacity, and contribution. This study tends to uncover past themes (citation analysis), current themes (co-citation analysis), and predict trends (co-word analysis) on health CoP and OHCs perspectives. Findings indicate the imperative role of CoP in the field, mainly due to the rapid development of sophisticated tacit knowledge on complicated health issues and unpredictable diseases affecting public health. Implications on theory and managerial aspect to strengthen the function of CoP in providing optimum health service to the public is discussed.
{"title":"Knowledge Sharing in Health Community of Practice (CoP) and Online Health Communities (OHCs): A Bibliometric Analysis","authors":"Muhammad Ashraf Fauzi","doi":"10.1142/s0219649223500065","DOIUrl":"https://doi.org/10.1142/s0219649223500065","url":null,"abstract":"This study aims to provide a scientific mapping based on a bibliographic database of knowledge sharing in the health community of practice (CoP) and online health communities (OHCs). These online platforms have provided an efficient means for members to share best practices, expertise, and information on health-related matters and acquire knowledge in the fast-moving health and medical field. Applying a bibliometric method, this study contributes to the body of knowledge concerning health CoP function, capacity, and contribution. This study tends to uncover past themes (citation analysis), current themes (co-citation analysis), and predict trends (co-word analysis) on health CoP and OHCs perspectives. Findings indicate the imperative role of CoP in the field, mainly due to the rapid development of sophisticated tacit knowledge on complicated health issues and unpredictable diseases affecting public health. Implications on theory and managerial aspect to strengthen the function of CoP in providing optimum health service to the public is discussed.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-06DOI: 10.1142/s0219649223500090
C. Wang
This paper studies a deep-seated data mining method for the development trend of enterprise technology. Technical distance, technical personnel and R & D investment are selected as the enterprise’s technical characteristics mined by the deep data mining method. The deep mining of enterprise’s technical characteristics is realised by defining mining objectives, data sampling, data exploration, data preprocessing, pattern discovery and prediction modelling of restricted Boltzmann machine. The mining results are used to analyse the impact of enterprise’s technical characteristics on the development trend. Ten science and technology enterprises are selected as the empirical analysis object. The empirical research results show that the three enterprise’s technical characteristics of technical distance, technicians and R & D investment have a great impact on the enterprise development trend. The results show that the method in this paper has certain practical application significance, and also provides a theoretical basis for enterprises to use technological innovation to occupy the market.
{"title":"Deep Data Mining of the Characteristics of Enterprise's Technology Development Trend","authors":"C. Wang","doi":"10.1142/s0219649223500090","DOIUrl":"https://doi.org/10.1142/s0219649223500090","url":null,"abstract":"This paper studies a deep-seated data mining method for the development trend of enterprise technology. Technical distance, technical personnel and R & D investment are selected as the enterprise’s technical characteristics mined by the deep data mining method. The deep mining of enterprise’s technical characteristics is realised by defining mining objectives, data sampling, data exploration, data preprocessing, pattern discovery and prediction modelling of restricted Boltzmann machine. The mining results are used to analyse the impact of enterprise’s technical characteristics on the development trend. Ten science and technology enterprises are selected as the empirical analysis object. The empirical research results show that the three enterprise’s technical characteristics of technical distance, technicians and R & D investment have a great impact on the enterprise development trend. The results show that the method in this paper has certain practical application significance, and also provides a theoretical basis for enterprises to use technological innovation to occupy the market.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-30DOI: 10.1142/s0219649222500988
Rima Boughareb, H. Seridi-Bouchelaghem, S. Beldjoudi
Knowledge Graphs (KGs) have been shown to have great potential to provide rich and highly defined structured data about Recommender Systems (RSs) items. This paper introduces Explain- KGCN, an Explainable RS based on KGs and Graph Convolutional Networks (GCNs). The system emphasises the importance of semantic information characterisation and high-order connectivity of message passing to explore potential user preferences. Thus, based on a relation-specific neighbourhood aggregation function, it aims to generate for each given item a set of relation-specific embeddings that depend on each semantic relation in the KG. Specifically, the relation-specific aggregator discriminates neighbours based on their relationship with the target node, allowing the system to model the semantics of various relationships explicitly. Experiments conducted on two real-world datasets for the top-[Formula: see text] recommendation task demonstrate the state-of-the-art performance of the system proposed. Besides improving predictive performance in terms of precision and recall, Explain-KGCN fully exploits wealthy structured information provided by KGs to offer recommendation explanation.
{"title":"Explainable Recommendation Based on Weighted Knowledge Graphs and Graph Convolutional Networks","authors":"Rima Boughareb, H. Seridi-Bouchelaghem, S. Beldjoudi","doi":"10.1142/s0219649222500988","DOIUrl":"https://doi.org/10.1142/s0219649222500988","url":null,"abstract":"Knowledge Graphs (KGs) have been shown to have great potential to provide rich and highly defined structured data about Recommender Systems (RSs) items. This paper introduces Explain- KGCN, an Explainable RS based on KGs and Graph Convolutional Networks (GCNs). The system emphasises the importance of semantic information characterisation and high-order connectivity of message passing to explore potential user preferences. Thus, based on a relation-specific neighbourhood aggregation function, it aims to generate for each given item a set of relation-specific embeddings that depend on each semantic relation in the KG. Specifically, the relation-specific aggregator discriminates neighbours based on their relationship with the target node, allowing the system to model the semantics of various relationships explicitly. Experiments conducted on two real-world datasets for the top-[Formula: see text] recommendation task demonstrate the state-of-the-art performance of the system proposed. Besides improving predictive performance in terms of precision and recall, Explain-KGCN fully exploits wealthy structured information provided by KGs to offer recommendation explanation.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-15DOI: 10.1142/s0219649222500964
Danni Luo, Bojian Xiong, Y. Cao
Tourism-related messages can alter the images of tourism destinations. In the new media time, messages from individual perception of the destination can spread among the social networks. Here, based on three basic assumptions, we developed a model to investigate the spread dynamics of tourism-related messages. In the model, two variables of individual behaviour, representing the probabilities of sharing or forgetting the messages, respectively, and a variable to represent the message’s importance were integrated. Within the simulated small-world networks, we observed two distinct patterns in the spread dynamics. The patterns were determined by individuals’ willingness to share messages and the message’s importance. If a majority of people choose not to send a message that they have received, the informed population will eventually become negligible; whereas, while they are inclined to spread, the informed population will remain constant over time. These patterns were influenced by neither the density of network connections nor the message sources. The message sources only determine the speed and the scale of diffusion. In summary, our model revealed the patterns of the spread of tourism-related messages.
{"title":"Spread Dynamics of Tourism-Related Messages within Social Networks","authors":"Danni Luo, Bojian Xiong, Y. Cao","doi":"10.1142/s0219649222500964","DOIUrl":"https://doi.org/10.1142/s0219649222500964","url":null,"abstract":"Tourism-related messages can alter the images of tourism destinations. In the new media time, messages from individual perception of the destination can spread among the social networks. Here, based on three basic assumptions, we developed a model to investigate the spread dynamics of tourism-related messages. In the model, two variables of individual behaviour, representing the probabilities of sharing or forgetting the messages, respectively, and a variable to represent the message’s importance were integrated. Within the simulated small-world networks, we observed two distinct patterns in the spread dynamics. The patterns were determined by individuals’ willingness to share messages and the message’s importance. If a majority of people choose not to send a message that they have received, the informed population will eventually become negligible; whereas, while they are inclined to spread, the informed population will remain constant over time. These patterns were influenced by neither the density of network connections nor the message sources. The message sources only determine the speed and the scale of diffusion. In summary, our model revealed the patterns of the spread of tourism-related messages.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-28DOI: 10.1142/s0219649222500800
Danieli Pinto, Nelson N. Tenório, Flávio Bortolozzi, Cláudia Herrero Martins Menegassi
The software industry depends intensively on its actor’s knowledge to develop its products. This knowledge is crucial to leverage innovation and market sustainability within the software industry companies. Knowledge Management (KM) processes are accomplished in the small- and medium-sized software industry companies daily, however, sometimes not formally. This paper proposes a questionnaire aimed to diagnose KM in small- and medium-sized enterprises (SME) of the software industry, namely, KMD Quest-SW. The KMD Quest-SW was designed to fill up the gap of KM diagnosis in SME in the software industry. The KMD Quest-SW has 46 statements distributed in six dimensions: so-called creation process, registration process, knowledge sharing, knowledge use, innovation process, and knowledge in the software industry. From the software industry perspective, our proposal appears as a promising tool to diagnose and map the knowledge flow in SMEs. From a scientific perspective, the questionnaire breaks new grounds for KM theoretically and practitioners to be adapted for other SME companies interested in KM.
{"title":"KMD Quest-SW: A Diagnosis of Knowledge Management Addressed to Software Industry SMEs","authors":"Danieli Pinto, Nelson N. Tenório, Flávio Bortolozzi, Cláudia Herrero Martins Menegassi","doi":"10.1142/s0219649222500800","DOIUrl":"https://doi.org/10.1142/s0219649222500800","url":null,"abstract":"The software industry depends intensively on its actor’s knowledge to develop its products. This knowledge is crucial to leverage innovation and market sustainability within the software industry companies. Knowledge Management (KM) processes are accomplished in the small- and medium-sized software industry companies daily, however, sometimes not formally. This paper proposes a questionnaire aimed to diagnose KM in small- and medium-sized enterprises (SME) of the software industry, namely, KMD Quest-SW. The KMD Quest-SW was designed to fill up the gap of KM diagnosis in SME in the software industry. The KMD Quest-SW has 46 statements distributed in six dimensions: so-called creation process, registration process, knowledge sharing, knowledge use, innovation process, and knowledge in the software industry. From the software industry perspective, our proposal appears as a promising tool to diagnose and map the knowledge flow in SMEs. From a scientific perspective, the questionnaire breaks new grounds for KM theoretically and practitioners to be adapted for other SME companies interested in KM.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-24DOI: 10.1142/s0219649222500952
Hanan Alasmari, Oksana L. Zavalina
As the possibility of sharing inaccurate information on social media increases markedly during the health crisis, there is a need to develop an understanding of social media users’ motivations for online sharing of information related to major public health challenges such as COVID-19. This study utilised an online survey based on Theory of Planned Behaviour and Diffusion of Innovation Theory to examine how the behavioural intention to share COVID-19-related content on social media is impacted and to develop a model of health information sharing. Results indicate that opinion leadership, beliefs held towards the source of the information, and peers’ influence serve as determinants of the intention to share COVID-19-related information on social media, while the opinion-seeking attitude does not, which could be explained by opinion seekers’ inherent tendency to seek more sources to verify new information obtained. The study contributes to the Information Science field by addressing the previously under-researched area and proposing a new model that explains the impact of the factors on behavioural intention to share health-related information during the health crisis in the online network environment.
{"title":"Using Two Theories in Exploration of the Health Information Diffusion on Social Media During a Global Health Crisis","authors":"Hanan Alasmari, Oksana L. Zavalina","doi":"10.1142/s0219649222500952","DOIUrl":"https://doi.org/10.1142/s0219649222500952","url":null,"abstract":"As the possibility of sharing inaccurate information on social media increases markedly during the health crisis, there is a need to develop an understanding of social media users’ motivations for online sharing of information related to major public health challenges such as COVID-19. This study utilised an online survey based on Theory of Planned Behaviour and Diffusion of Innovation Theory to examine how the behavioural intention to share COVID-19-related content on social media is impacted and to develop a model of health information sharing. Results indicate that opinion leadership, beliefs held towards the source of the information, and peers’ influence serve as determinants of the intention to share COVID-19-related information on social media, while the opinion-seeking attitude does not, which could be explained by opinion seekers’ inherent tendency to seek more sources to verify new information obtained. The study contributes to the Information Science field by addressing the previously under-researched area and proposing a new model that explains the impact of the factors on behavioural intention to share health-related information during the health crisis in the online network environment.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128948330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-24DOI: 10.1142/s0219649222500915
Shuo Wu
The aim of this paper is to improve the innovation level and innovation performance of enterprise strategic property management technology. Also, this paper studies the implementation path of enterprise strategic property management from the perspective of technological innovation by analysing the opportunities and challenges faced by the enterprise’s intellectual property management, building an enterprise strategic property rights management system with the company’s intellectual property organisation management, intellectual property value management, and intellectual property strategic management as the core; establishing SC’s intellectual property management system by stages, adopt a phased approach to build SC’s intellectual property management system and by increasing corporate profitability through intellectual property transfer, licensing and other activities. Through intellectual property management, it provides a strong guarantee for enterprises to make profits. Interviews and investigations were conducted with KT company in the field of temperature control, QR company in the field of energy saving and environmental protection, and JZ company in the field of biomedicine. Only by basing itself on its own reality and market demand, gradually improving the level of technological innovation, and planning and implementing the strategy of independent intellectual property rights, can the performance of technological innovation be effectively improved.
{"title":"Research on the Implementation Path of Enterprise Strategic Property Management from the Perspective of Technological Innovation","authors":"Shuo Wu","doi":"10.1142/s0219649222500915","DOIUrl":"https://doi.org/10.1142/s0219649222500915","url":null,"abstract":"The aim of this paper is to improve the innovation level and innovation performance of enterprise strategic property management technology. Also, this paper studies the implementation path of enterprise strategic property management from the perspective of technological innovation by analysing the opportunities and challenges faced by the enterprise’s intellectual property management, building an enterprise strategic property rights management system with the company’s intellectual property organisation management, intellectual property value management, and intellectual property strategic management as the core; establishing SC’s intellectual property management system by stages, adopt a phased approach to build SC’s intellectual property management system and by increasing corporate profitability through intellectual property transfer, licensing and other activities. Through intellectual property management, it provides a strong guarantee for enterprises to make profits. Interviews and investigations were conducted with KT company in the field of temperature control, QR company in the field of energy saving and environmental protection, and JZ company in the field of biomedicine. Only by basing itself on its own reality and market demand, gradually improving the level of technological innovation, and planning and implementing the strategy of independent intellectual property rights, can the performance of technological innovation be effectively improved.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125161972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-19DOI: 10.1142/s021964922250085x
Quang Ngoc Le, Kulthida Tuamsuk
This study empirically investigates knowledge creation (KC) in the context of the not-for-profit environment and seeks an understanding of how the dynamic of KC occurs in non-profit organisations (NPOs) in developing countries. The study, qualitative in nature, was applied in international non-profit organisations (INPOs), which is based on the 31 interviews taken at various such organisations in Thailand. The research illustrates the context of interaction dynamic that figures out the exampled NPOs, that is the creation of four types of ba, which enhances the KC process and identifies the specific knowledge types that are managed in these organisations. The investigation offers a holistic approach of the processes of organisational knowledge-creating in the NPOs. Furthermore, it is intended that the evidence presented a critical attitude regarding knowledge management (KM)-NPOs domains, especially in the KC process in the academic community. For NPO practitioners, this paper allows us to discover the organisational practices on the process-creating to enhance KM activities in their organisation.
{"title":"Knowledge Creation in International Non-Profit Organisations","authors":"Quang Ngoc Le, Kulthida Tuamsuk","doi":"10.1142/s021964922250085x","DOIUrl":"https://doi.org/10.1142/s021964922250085x","url":null,"abstract":"This study empirically investigates knowledge creation (KC) in the context of the not-for-profit environment and seeks an understanding of how the dynamic of KC occurs in non-profit organisations (NPOs) in developing countries. The study, qualitative in nature, was applied in international non-profit organisations (INPOs), which is based on the 31 interviews taken at various such organisations in Thailand. The research illustrates the context of interaction dynamic that figures out the exampled NPOs, that is the creation of four types of ba, which enhances the KC process and identifies the specific knowledge types that are managed in these organisations. The investigation offers a holistic approach of the processes of organisational knowledge-creating in the NPOs. Furthermore, it is intended that the evidence presented a critical attitude regarding knowledge management (KM)-NPOs domains, especially in the KC process in the academic community. For NPO practitioners, this paper allows us to discover the organisational practices on the process-creating to enhance KM activities in their organisation.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125359307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-16DOI: 10.1142/s0219649222500812
Seema Sharma, D. Mehrotra, Narjès Bellamine Ben Saoud
In case-based reasoning structure, the quality and the complexity of the case data play a significant role in searching, retrieving, updating, and holding distinct case data at or from distinct databases for various purposes. However, managing the very complex and large case-data sets is not easy. Furthermore, the complex algorithm for maintaining case-based reasoning (CBR) structure makes it more critical and increases the time complexity considerably when the dataset is large and complex. Consequently, distinct available techniques related to the maintenance of the CBR system concentrate on deleting the less important and very complex case data to reduce the number of cases. At the same time, it reduces the efficiency and effectiveness of handling the CBR system. Hence, this research employs an integrated platform with the combination of the Hadoop parallel platform and an intelligent utility scoring mechanism. The smart indexing system and the parallel processing capacity of Hadoop reduce the time complexity for processing large and complex datasets. The distributed storage capability effectively manages the data repository and retrieval system for enormous case datasets without compromising case data. The intelligent utility scoring system employs supervised learning and a unique CBR system to quickly and efficiently retrieve the effective solution for each particular case. Furthermore, Hadoop offers a distributed structure that helps the user to access the case data and update the database through the network. This research uses distinct healthcare text-based datasets for testing the performances of the proposed integrated technique in different aspects. The experimental results show the superiorities in producing a higher percentage of accuracy with consuming less Retrieval time over other related techniques. It further shows its time efficiency by offering higher throughput and lower Cyclomatic Complexity with lower read and write Latency Times. Finally, the performances of the proposed technique in these various aspects have been compared with distinct existing techniques and the performances of various databases in managing large and complex medical data to establish its superiority over them.
{"title":"The Integration of Hadoop and a Smart Utility Scoring with a Case-Based Reasoning System for Managing Large and Complex Medical Case Base","authors":"Seema Sharma, D. Mehrotra, Narjès Bellamine Ben Saoud","doi":"10.1142/s0219649222500812","DOIUrl":"https://doi.org/10.1142/s0219649222500812","url":null,"abstract":"In case-based reasoning structure, the quality and the complexity of the case data play a significant role in searching, retrieving, updating, and holding distinct case data at or from distinct databases for various purposes. However, managing the very complex and large case-data sets is not easy. Furthermore, the complex algorithm for maintaining case-based reasoning (CBR) structure makes it more critical and increases the time complexity considerably when the dataset is large and complex. Consequently, distinct available techniques related to the maintenance of the CBR system concentrate on deleting the less important and very complex case data to reduce the number of cases. At the same time, it reduces the efficiency and effectiveness of handling the CBR system. Hence, this research employs an integrated platform with the combination of the Hadoop parallel platform and an intelligent utility scoring mechanism. The smart indexing system and the parallel processing capacity of Hadoop reduce the time complexity for processing large and complex datasets. The distributed storage capability effectively manages the data repository and retrieval system for enormous case datasets without compromising case data. The intelligent utility scoring system employs supervised learning and a unique CBR system to quickly and efficiently retrieve the effective solution for each particular case. Furthermore, Hadoop offers a distributed structure that helps the user to access the case data and update the database through the network. This research uses distinct healthcare text-based datasets for testing the performances of the proposed integrated technique in different aspects. The experimental results show the superiorities in producing a higher percentage of accuracy with consuming less Retrieval time over other related techniques. It further shows its time efficiency by offering higher throughput and lower Cyclomatic Complexity with lower read and write Latency Times. Finally, the performances of the proposed technique in these various aspects have been compared with distinct existing techniques and the performances of various databases in managing large and complex medical data to establish its superiority over them.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121786852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-11DOI: 10.1142/s0219649222500873
Junaid Rehman, I. Hawryszkiewycz, O. Sohaib, F. Namisango, A. Dahri
The ever-increasing market turbulence has turned today’s corporate landscape more competitive and complex. Particularly during the last two decades, the increased utilization of Information & Communication Technologies (ICTs) globally transformed the services sector in terms of ease of business processes and improved client service delivery. However, in the current knowledge-based era, these tools & technologies would only be meaningful if these are appropriately utilized by a knowledgeable workforce. In other words, this knowledge age has changed the success mantra of business competitiveness by re-shifting the focus from ICT-based transformations to knowledge-based transformations, though the availability of ICT systems has further augmented the organizational capabilities. Moreover, truly capitalizing on these warrants a knowledge-enabled work culture and recognizing as such the strategic significance of in-house Intellectual Capital (IC) that serves as a prime mover of achieving a sustainable competitive advantage. However, the maximum potential of IC for deriving multi-stakeholder value has not been fully achieved. Therefore, by administering 12 face-to-face semi-structured interviews at Australian Professional Service Firms (PSFs), this research offers a novel perspective on IC valuation by presenting the concept of ‘Triple Value Bottomline’ coupled with ‘IC Best Practices for PSFs’. These collectively offer IC evaluation, measurement and management mechanisms. Overall, the findings reveal immense potential of IC for achieving diverse value outcomes for multi-stakeholders in PSFs.
{"title":"How Professional Service Firms Derive Triple Value Bottomline: An IC Perspective","authors":"Junaid Rehman, I. Hawryszkiewycz, O. Sohaib, F. Namisango, A. Dahri","doi":"10.1142/s0219649222500873","DOIUrl":"https://doi.org/10.1142/s0219649222500873","url":null,"abstract":"The ever-increasing market turbulence has turned today’s corporate landscape more competitive and complex. Particularly during the last two decades, the increased utilization of Information & Communication Technologies (ICTs) globally transformed the services sector in terms of ease of business processes and improved client service delivery. However, in the current knowledge-based era, these tools & technologies would only be meaningful if these are appropriately utilized by a knowledgeable workforce. In other words, this knowledge age has changed the success mantra of business competitiveness by re-shifting the focus from ICT-based transformations to knowledge-based transformations, though the availability of ICT systems has further augmented the organizational capabilities. Moreover, truly capitalizing on these warrants a knowledge-enabled work culture and recognizing as such the strategic significance of in-house Intellectual Capital (IC) that serves as a prime mover of achieving a sustainable competitive advantage. However, the maximum potential of IC for deriving multi-stakeholder value has not been fully achieved. Therefore, by administering 12 face-to-face semi-structured interviews at Australian Professional Service Firms (PSFs), this research offers a novel perspective on IC valuation by presenting the concept of ‘Triple Value Bottomline’ coupled with ‘IC Best Practices for PSFs’. These collectively offer IC evaluation, measurement and management mechanisms. Overall, the findings reveal immense potential of IC for achieving diverse value outcomes for multi-stakeholders in PSFs.","PeriodicalId":127309,"journal":{"name":"J. Inf. Knowl. Manag.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129217025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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