Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society最新文献
A collaborative filtering algorithm is designed and improved in this paper, which can optimize and improve the sparsity and extention of data in systems. We can Use the user's implicit information in the web log to cluster analysis on user set and by using the dual K-means algorithm, and we can use the K-means algorithm in each clustering set to further improve the effectiveness of the recommendation of the target users. By contrasting the experimental results, this method compared to the performance of other collaborative filtering algorithms have better performance in those sites browsed by large amount of users.
{"title":"Study on dual K-means algorithm in collaborative filtering system based on web log","authors":"Dongmeng Guo, Yun Liu, Jian Li, Xiong Fei, Yixiang Zhu","doi":"10.1145/2925995.2926046","DOIUrl":"https://doi.org/10.1145/2925995.2926046","url":null,"abstract":"A collaborative filtering algorithm is designed and improved in this paper, which can optimize and improve the sparsity and extention of data in systems. We can Use the user's implicit information in the web log to cluster analysis on user set and by using the dual K-means algorithm, and we can use the K-means algorithm in each clustering set to further improve the effectiveness of the recommendation of the target users. By contrasting the experimental results, this method compared to the performance of other collaborative filtering algorithms have better performance in those sites browsed by large amount of users.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019361","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}
In this study the researcher is focusing on the performance of the project. During the life cycle of projects managers are striving to forecast the future performance of the project according to the historical patterns of performance. Irregular performance and randomness are representing chaotic performance periods in project's life. The study proposes five propositions. The first proposition is that Manager have different conscious perceptions about accepted levels of order and chaos in their project performance. The second proposition is that Knowledge Creation Process has different characteristics in chaotic perceived projects and order perceived projects. The third proposition is that managers have different prioritization of knowledge assets from which they create new knowledge for chaotic performance projects. The fourth proposition is that Sources of knowledge creation differ according to the context of project performance. The fifth proposition is that Assets used for knowledge creation during chaotic performance periods differ according to managers' tendency to innovate. This study is a qualitative analysis of secondary data that comes from literature review and primary data that comes from interviews with experts and project managers. The researcher investigated four styles of knowledge creation during chaotic performance periods; experiential knowledge creation style, innovative knowledge creation style, precautions and risk minimization knowledge creation style, and specialty based knowledge creation style. Conclusions and recommendations are provided to project managers on which knowledge assets are leading to innovative knowledge creation.
{"title":"Exploring Chaotic Performance in Projects and its Relationship with Knowledge Creation Process","authors":"R. A. Samra, K. Shaalan","doi":"10.1145/2925995.2926021","DOIUrl":"https://doi.org/10.1145/2925995.2926021","url":null,"abstract":"In this study the researcher is focusing on the performance of the project. During the life cycle of projects managers are striving to forecast the future performance of the project according to the historical patterns of performance. Irregular performance and randomness are representing chaotic performance periods in project's life. The study proposes five propositions. The first proposition is that Manager have different conscious perceptions about accepted levels of order and chaos in their project performance. The second proposition is that Knowledge Creation Process has different characteristics in chaotic perceived projects and order perceived projects. The third proposition is that managers have different prioritization of knowledge assets from which they create new knowledge for chaotic performance projects. The fourth proposition is that Sources of knowledge creation differ according to the context of project performance. The fifth proposition is that Assets used for knowledge creation during chaotic performance periods differ according to managers' tendency to innovate. This study is a qualitative analysis of secondary data that comes from literature review and primary data that comes from interviews with experts and project managers. The researcher investigated four styles of knowledge creation during chaotic performance periods; experiential knowledge creation style, innovative knowledge creation style, precautions and risk minimization knowledge creation style, and specialty based knowledge creation style. Conclusions and recommendations are provided to project managers on which knowledge assets are leading to innovative knowledge creation.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"420 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116708737","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}
CSR in UAE still acknowledged as a new topic, the relationship between corporate social responsibility (CSR) and the firm's financial performance (FP) is important topic for researchers. The primary aim of the research is to develop a new conceptual framework that will address the underlying relationships between CSR and FP in the publicly listed companies in the UAE. The interaction effects between the CSR practices and FPof the UAE's firm will be studied by responding to the main research question by way of a triangulation of research data within a mixed-method research paradigm that integrates both quantitative and qualitative methodology. The result of analysis should confirm the association between CSR practices and firms FP in UAE. The results will also highlight whether a "Knowledge Gap" exists between the academic (theoretical) and the practical (applied) domains.
{"title":"The Impact of Corporate Social Responsibility on the Firm's Financial Performance: the case of Publicly Listed Companies in the United Arab Emirates","authors":"Sahar Mansour, Ali Mahdi Owayid, M. Ramadan","doi":"10.1145/2925995.2926045","DOIUrl":"https://doi.org/10.1145/2925995.2926045","url":null,"abstract":"CSR in UAE still acknowledged as a new topic, the relationship between corporate social responsibility (CSR) and the firm's financial performance (FP) is important topic for researchers. The primary aim of the research is to develop a new conceptual framework that will address the underlying relationships between CSR and FP in the publicly listed companies in the UAE. The interaction effects between the CSR practices and FPof the UAE's firm will be studied by responding to the main research question by way of a triangulation of research data within a mixed-method research paradigm that integrates both quantitative and qualitative methodology. The result of analysis should confirm the association between CSR practices and firms FP in UAE. The results will also highlight whether a \"Knowledge Gap\" exists between the academic (theoretical) and the practical (applied) domains.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130868305","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}
Incentives to encourage knowledge sharing have received considerable attention from the research community. However, consensus on the influence of incentives on sharing levels and what are the critical success factors is yet to emerge. This causes challenges for both knowledge management researchers and practitioners, as the effects of incentive systems cannot be predicted consistently. Hence, this article aims to discuss the critical factors for creating incentive systems to encourage sharing. To improve the prediction accuracy for such systems, a new framework is proposed. The proposed framework is a combination of sociological and economical approaches, which covers both the influence incentives and the relational factors that govern the behaviour of individuals in any given relationship. Analysis of a case study base on the proposed framework is then compared to two alternative frameworks approaches to incentive design. The comparison between the predictions made by the three theories shows that the prediction power and that the critical factors for designing incentives varies significantly. Therefore, when managers design new incentive structures to encourage knowledge sharing, they need to consider which theory captures their hidden assumptions and the presented situation's foundations most accurately. Finally future research directions are suggested based on the predictions made with the framework are proposed.
{"title":"Creating incentives for knowledge sharing: combining context and signaling","authors":"Jouni A. Laitinen, D. Senoo","doi":"10.1145/2925995.2926014","DOIUrl":"https://doi.org/10.1145/2925995.2926014","url":null,"abstract":"Incentives to encourage knowledge sharing have received considerable attention from the research community. However, consensus on the influence of incentives on sharing levels and what are the critical success factors is yet to emerge. This causes challenges for both knowledge management researchers and practitioners, as the effects of incentive systems cannot be predicted consistently. Hence, this article aims to discuss the critical factors for creating incentive systems to encourage sharing. To improve the prediction accuracy for such systems, a new framework is proposed. The proposed framework is a combination of sociological and economical approaches, which covers both the influence incentives and the relational factors that govern the behaviour of individuals in any given relationship. Analysis of a case study base on the proposed framework is then compared to two alternative frameworks approaches to incentive design. The comparison between the predictions made by the three theories shows that the prediction power and that the critical factors for designing incentives varies significantly. Therefore, when managers design new incentive structures to encourage knowledge sharing, they need to consider which theory captures their hidden assumptions and the presented situation's foundations most accurately. Finally future research directions are suggested based on the predictions made with the framework are proposed.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"49 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128943803","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}
Ever since its inception in the 1980s, Enterprise Resource Planning (ERP) has been readily making inroads into enterprise computing, became the focus of innovation, replacing traditional functional Management Information Systems, and finally established itself as the main stream of enterprise computing [1]. Nowadays every enterprises run ERP systems of some sort. ERP systems are also the backbone of Business Intelligence as well as Supply Chain Management (SCM) and Customer Relationship Management (CRM) systems. In this workshop, we shall focus on learning 2 key concepts of ERP: (1) Business Processes Integration that integrates Business Functions across Business Units (2) Managing supply to meet demand. How to make these two key concepts come alive for participants learning ERP is critical especially if they do not have business background. We design a learning activity system that is inspired by SECI [2] and Cascading Modes of Communication (CMC) knowledge creation theory [3, 4 & 5]. An ERP business simulation game1 is deployed as Socialization space to engender experiential knowledge about ERP among its participants. These experiences became the basis on which, the participants Externalize what they learnt about key ERP concepts, which is shared among team members and the entire group of participants with the objective to engender Combination of knowledge into a structured game plan. Finally, the game plan is to be Internalized through another round of the game play, that in turn, fosters a new round of knowledge creation cycle.
{"title":"Learning Enterprise Resource Planning (ERP) through Business Simulation Game","authors":"Paul Wu Horng-Jyh","doi":"10.1145/2925995.2926054","DOIUrl":"https://doi.org/10.1145/2925995.2926054","url":null,"abstract":"Ever since its inception in the 1980s, Enterprise Resource Planning (ERP) has been readily making inroads into enterprise computing, became the focus of innovation, replacing traditional functional Management Information Systems, and finally established itself as the main stream of enterprise computing [1]. Nowadays every enterprises run ERP systems of some sort. ERP systems are also the backbone of Business Intelligence as well as Supply Chain Management (SCM) and Customer Relationship Management (CRM) systems. In this workshop, we shall focus on learning 2 key concepts of ERP: (1) Business Processes Integration that integrates Business Functions across Business Units (2) Managing supply to meet demand. How to make these two key concepts come alive for participants learning ERP is critical especially if they do not have business background. We design a learning activity system that is inspired by SECI [2] and Cascading Modes of Communication (CMC) knowledge creation theory [3, 4 & 5]. An ERP business simulation game1 is deployed as Socialization space to engender experiential knowledge about ERP among its participants. These experiences became the basis on which, the participants Externalize what they learnt about key ERP concepts, which is shared among team members and the entire group of participants with the objective to engender Combination of knowledge into a structured game plan. Finally, the game plan is to be Internalized through another round of the game play, that in turn, fosters a new round of knowledge creation cycle.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125435731","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}
This paper presents the design and development of an energy system for residences, destined for the consumer to do knowledge management through supervision and control electrical household and contribute to the rational use of energy, using protocols of OSI model (Open System Interconnection)[1] such as: Power Line Communication (PLC) [2], Ethernet, TCP-UDP/IP (Transport Control Protocol -- User Datagram Protocol/Internet protocol) and high level protocol HTTP (Hipertext Protocol) [3]. The system, from the hardware's perspective, is based on the use of ARM Cortex M4 of Freescale® microcontroller referenced as MK10 [4] and a system for voltage, current, power factor and energy measurement through Analog Device's® [5] ADE7763® device. A web application will be installed on the microcontroller so it can be used from any tablet or smartphone through Wi-Fi protocol, which allows to develop measurement and storage tasks on a data base, in the same way as turning on and off devices to be controlled, allowing the consumer to do knowledge management and perform energy saving in the residence.
{"title":"Knowledge management applied to Supervision and Control System of Demand Electric for Domestic Use","authors":"Jonnathan Acosta, Michael Gregory, Adriana Marcela Vega Escobar, Álvaro Espinel Ortega","doi":"10.1145/2925995.2926048","DOIUrl":"https://doi.org/10.1145/2925995.2926048","url":null,"abstract":"This paper presents the design and development of an energy system for residences, destined for the consumer to do knowledge management through supervision and control electrical household and contribute to the rational use of energy, using protocols of OSI model (Open System Interconnection)[1] such as: Power Line Communication (PLC) [2], Ethernet, TCP-UDP/IP (Transport Control Protocol -- User Datagram Protocol/Internet protocol) and high level protocol HTTP (Hipertext Protocol) [3]. The system, from the hardware's perspective, is based on the use of ARM Cortex M4 of Freescale® microcontroller referenced as MK10 [4] and a system for voltage, current, power factor and energy measurement through Analog Device's® [5] ADE7763® device. A web application will be installed on the microcontroller so it can be used from any tablet or smartphone through Wi-Fi protocol, which allows to develop measurement and storage tasks on a data base, in the same way as turning on and off devices to be controlled, allowing the consumer to do knowledge management and perform energy saving in the residence.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117197136","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}
Privacy Preserving Data Mining (PPDM) is a data mining research area that aims to protect individual's personal information from unsolicited or unauthorized disclosure. Privacy relates to personal information that a person would not wish others to know without authorization, and to a person's right to be free from the attention of others (UN Declaration of Human Rights, 1948). Advances in computer technology, social networking sites, communications and improvement in hardware technologies have made it possible to collect and store huge amounts of data in digital form. This results in the increasing ability to collect large amounts of personal information. However the collection and sharing of data have also raised a number of ethical issues. Such issues include privacy, data security, and intellectual property rights. These Privacy Issues violates a person's right and brings dignitary harm to the research participant. In addition, it would also bring social mortification, shame, disgrace, and damage to social and economic status. In recent years, numerous data mining algorithms combining privacy preserving techniques have been developed that hide sensitive item sets or patterns. An important issue here is to decide which privacy preserving technique gives better protection for sensitive information. It is also important to access the quality of the result as well as the performance of the algorithm, after applying the privacy preserving techniques. In this paper, we propose IMR (I - Buckets based Map Reducing) based Anonymization and present a brief introduction of different kinds of PPDM techniques with their merits and demerits. Our work highlights some considerations about future work and promising directions in the perspective of privacy preservation in data mining.
隐私保护数据挖掘(PPDM)是一个数据挖掘研究领域，旨在保护个人信息免受未经请求或未经授权的披露。隐私指的是一个人在未经授权的情况下不希望别人知道的个人信息，以及一个人不受他人注意的权利(联合国人权宣言，1948年)。计算机技术、社交网站、通信和硬件技术的进步使得以数字形式收集和存储大量数据成为可能。这导致收集大量个人信息的能力不断增强。然而，数据的收集和共享也引发了一些伦理问题。这些问题包括隐私、数据安全和知识产权。这些隐私问题侵犯了个人权利，给研究参与者带来尊严损害。此外，它还会给社会带来屈辱、耻辱、耻辱，损害社会经济地位。近年来，许多结合隐私保护技术的数据挖掘算法被开发出来，以隐藏敏感的项目集或模式。这里的一个重要问题是确定哪种隐私保护技术可以更好地保护敏感信息。在应用隐私保护技术之后，访问结果的质量以及算法的性能也很重要。在本文中，我们提出了基于IMR (I - Buckets - based Map reduction)的匿名化，并简要介绍了各种PPDM技术的优缺点。我们的工作强调了对数据挖掘中隐私保护的未来工作和有希望的方向的一些考虑。
{"title":"IMR based Anonymization for Privacy Preservation in Data Mining","authors":"G. Arumugam, V. J. V. Sulekha","doi":"10.1145/2925995.2926005","DOIUrl":"https://doi.org/10.1145/2925995.2926005","url":null,"abstract":"Privacy Preserving Data Mining (PPDM) is a data mining research area that aims to protect individual's personal information from unsolicited or unauthorized disclosure. Privacy relates to personal information that a person would not wish others to know without authorization, and to a person's right to be free from the attention of others (UN Declaration of Human Rights, 1948). Advances in computer technology, social networking sites, communications and improvement in hardware technologies have made it possible to collect and store huge amounts of data in digital form. This results in the increasing ability to collect large amounts of personal information. However the collection and sharing of data have also raised a number of ethical issues. Such issues include privacy, data security, and intellectual property rights. These Privacy Issues violates a person's right and brings dignitary harm to the research participant. In addition, it would also bring social mortification, shame, disgrace, and damage to social and economic status. In recent years, numerous data mining algorithms combining privacy preserving techniques have been developed that hide sensitive item sets or patterns. An important issue here is to decide which privacy preserving technique gives better protection for sensitive information. It is also important to access the quality of the result as well as the performance of the algorithm, after applying the privacy preserving techniques. In this paper, we propose IMR (I - Buckets based Map Reducing) based Anonymization and present a brief introduction of different kinds of PPDM techniques with their merits and demerits. Our work highlights some considerations about future work and promising directions in the perspective of privacy preservation in data mining.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"193 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427491","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}
Y. R. Mukund, V. Naresh, Sourabh Patil, K. Chandrasekaran, V. Kumar, R. K. Gnanamurthy
The Phenomenon of stock markets is a complex one and is something which, has attracted researchers and statisticians for a long time. Complex statistics have long dominated this field where the prediction models are usually stochastic. The advent of machine learning gave us a new way of looking at the problem. Much work has been done in analyzing the stock market to predict the stock index of a particular organization. However, most of the work done is based on the previous stock data and other statistical parameters. Our work, uses data such as the online news articles about a particular company and aims to help a trader conclude the market sentiment towards that company through sentiment analysis. The online raw data is obtained through crawling and is indexed, weighted and subject to sentiment analysis to output the final sentiment of the market. It is found that the Naive-Bayesian Classifier is the more suitable option among the Decision Tree and Random Forests for the task of sentiment analysis. The Final Sentiment Factor arrived at, is found to reflect the real time market sentiment quite accurately. It is also shown that the sentiment factor can be used as an input to a more complex analysis model. This new model, performs better than the existing models.
{"title":"Influence of News on Individual Confidence Bias in Stock Markets","authors":"Y. R. Mukund, V. Naresh, Sourabh Patil, K. Chandrasekaran, V. Kumar, R. K. Gnanamurthy","doi":"10.1145/2925995.2926001","DOIUrl":"https://doi.org/10.1145/2925995.2926001","url":null,"abstract":"The Phenomenon of stock markets is a complex one and is something which, has attracted researchers and statisticians for a long time. Complex statistics have long dominated this field where the prediction models are usually stochastic. The advent of machine learning gave us a new way of looking at the problem. Much work has been done in analyzing the stock market to predict the stock index of a particular organization. However, most of the work done is based on the previous stock data and other statistical parameters. Our work, uses data such as the online news articles about a particular company and aims to help a trader conclude the market sentiment towards that company through sentiment analysis. The online raw data is obtained through crawling and is indexed, weighted and subject to sentiment analysis to output the final sentiment of the market. It is found that the Naive-Bayesian Classifier is the more suitable option among the Decision Tree and Random Forests for the task of sentiment analysis. The Final Sentiment Factor arrived at, is found to reflect the real time market sentiment quite accurately. It is also shown that the sentiment factor can be used as an input to a more complex analysis model. This new model, performs better than the existing models.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133505361","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}
M. Thangaraj, P. P. Ponmalar, G. Sujatha, S. Anuradha
Internet of Things (IoT) is to connect objects of different application fields, functionality and technology. These objects are entirely addressable and use standard communication protocol. Intelligent agents are used to integrate Internet of Things with heterogeneous low-power embedded resource-constrained networked devices. This paper discusses with the implemented real world scenario of smart autonomous patient management with the assistance of semantic technology in IoT. It uses the Smart Semantic framework using domain ontologies to encapsulate the processed information from sensor networks. This embedded Agent based Semantic Internet of Things in healthcare (ASIOTH) system is having semantic logic and semantic value based Information to make the system as smart and intelligent. This paper aims at explaining in detail the technology drivers behind the IoT and health care with the information on data modeling, data mapping of existing IoT data into different other associated system data, workflow or the process flow behind the technical operations of the remote device coordination, the architecture of network, middleware, databases, application services. The challenges and the associated solution in this field are discussed with the use case.
{"title":"Agent based Semantic Internet of Things (IoT) in Smart Health care","authors":"M. Thangaraj, P. P. Ponmalar, G. Sujatha, S. Anuradha","doi":"10.1145/2925995.2926023","DOIUrl":"https://doi.org/10.1145/2925995.2926023","url":null,"abstract":"Internet of Things (IoT) is to connect objects of different application fields, functionality and technology. These objects are entirely addressable and use standard communication protocol. Intelligent agents are used to integrate Internet of Things with heterogeneous low-power embedded resource-constrained networked devices. This paper discusses with the implemented real world scenario of smart autonomous patient management with the assistance of semantic technology in IoT. It uses the Smart Semantic framework using domain ontologies to encapsulate the processed information from sensor networks. This embedded Agent based Semantic Internet of Things in healthcare (ASIOTH) system is having semantic logic and semantic value based Information to make the system as smart and intelligent. This paper aims at explaining in detail the technology drivers behind the IoT and health care with the information on data modeling, data mapping of existing IoT data into different other associated system data, workflow or the process flow behind the technical operations of the remote device coordination, the architecture of network, middleware, databases, application services. The challenges and the associated solution in this field are discussed with the use case.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114665237","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}
This study aimed to get empirical evidence about knowledge management (KM) practices that play a role in creating an excellence service through the support of the leader, employee training or learning opportunities and the sharing of knowledge, so as to improve the performance of employees in providing services to consumers. The focus of this research is the application of knowledge management and service excellence in the services provided organization. Subjects of this study consisted of three different informants and informants will be required each their perceptions regarding the implementation of knowledge management and the service excellence. Data collection technique used purposive sampling to choose the informants. Based on the results of the study showed that the application of knowledge management will have an impact on the creation of service excellence. It is important for businesses to be able to apply KM well to cultivate knowledge management system and excellence service this by making a standard operational procedure (SOP), so that every member of the organization have clear guidelines for implementation.
{"title":"Knowledge Management Role on Creating Service Excellence: Case Study on Building Materials Supermarket In the city of Sampit - Indonesia","authors":"Didi Sundiman, Soni Santiago Putra","doi":"10.1145/2925995.2926044","DOIUrl":"https://doi.org/10.1145/2925995.2926044","url":null,"abstract":"This study aimed to get empirical evidence about knowledge management (KM) practices that play a role in creating an excellence service through the support of the leader, employee training or learning opportunities and the sharing of knowledge, so as to improve the performance of employees in providing services to consumers. The focus of this research is the application of knowledge management and service excellence in the services provided organization. Subjects of this study consisted of three different informants and informants will be required each their perceptions regarding the implementation of knowledge management and the service excellence. Data collection technique used purposive sampling to choose the informants. Based on the results of the study showed that the application of knowledge management will have an impact on the creation of service excellence. It is important for businesses to be able to apply KM well to cultivate knowledge management system and excellence service this by making a standard operational procedure (SOP), so that every member of the organization have clear guidelines for implementation.","PeriodicalId":159180,"journal":{"name":"Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125072991","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}
Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society
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