{"title":"用于企业知识共享的区块链代币","authors":"K. Zheng, J. Zhang, Taowen Le","doi":"10.4018/joeuc.329235","DOIUrl":null,"url":null,"abstract":"Virtual knowledge communities have become essential platforms for enterprises to facilitate knowledge sharing. However, due to the lack of effective incentive mechanisms, the traditional virtual knowledge community is generally inefficient in attracting high-quality content and maintaining enthusiasm for users' long-term participation. To address these problems, we theoretically explore the characteristics and economic ecology of enterprise knowledge sharing based on blockchain tokens to promote its sustained development. Specifically, we examine the application scenarios of token-economy activities through system-dynamics simulation and discuss the development status and path of the economic ecology. In addition, we studied the blockchain token-based incentive and penalty mechanisms for virtual knowledge communities to better stimulate knowledge sharing. Finally, the research method is applied to the GienTech supply chain finance community website to validate the proposed model and analysis. The findings contribute to the existing literature and point enterprises in a new direction in designing more effective incentive mechanisms to improve knowledge-sharing in virtual knowledge communities.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blockchain Tokens for Enterprise Knowledge Sharing\",\"authors\":\"K. Zheng, J. Zhang, Taowen Le\",\"doi\":\"10.4018/joeuc.329235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Virtual knowledge communities have become essential platforms for enterprises to facilitate knowledge sharing. However, due to the lack of effective incentive mechanisms, the traditional virtual knowledge community is generally inefficient in attracting high-quality content and maintaining enthusiasm for users' long-term participation. To address these problems, we theoretically explore the characteristics and economic ecology of enterprise knowledge sharing based on blockchain tokens to promote its sustained development. Specifically, we examine the application scenarios of token-economy activities through system-dynamics simulation and discuss the development status and path of the economic ecology. In addition, we studied the blockchain token-based incentive and penalty mechanisms for virtual knowledge communities to better stimulate knowledge sharing. Finally, the research method is applied to the GienTech supply chain finance community website to validate the proposed model and analysis. The findings contribute to the existing literature and point enterprises in a new direction in designing more effective incentive mechanisms to improve knowledge-sharing in virtual knowledge communities.\",\"PeriodicalId\":49029,\"journal\":{\"name\":\"Journal of Organizational and End User Computing\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2023-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Organizational and End User Computing\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.4018/joeuc.329235\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational and End User Computing","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.4018/joeuc.329235","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Blockchain Tokens for Enterprise Knowledge Sharing
Virtual knowledge communities have become essential platforms for enterprises to facilitate knowledge sharing. However, due to the lack of effective incentive mechanisms, the traditional virtual knowledge community is generally inefficient in attracting high-quality content and maintaining enthusiasm for users' long-term participation. To address these problems, we theoretically explore the characteristics and economic ecology of enterprise knowledge sharing based on blockchain tokens to promote its sustained development. Specifically, we examine the application scenarios of token-economy activities through system-dynamics simulation and discuss the development status and path of the economic ecology. In addition, we studied the blockchain token-based incentive and penalty mechanisms for virtual knowledge communities to better stimulate knowledge sharing. Finally, the research method is applied to the GienTech supply chain finance community website to validate the proposed model and analysis. The findings contribute to the existing literature and point enterprises in a new direction in designing more effective incentive mechanisms to improve knowledge-sharing in virtual knowledge communities.
期刊介绍:
The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.