水会计数据利益相关者的识别与链接

Ryan Prater, Barbara Eisenbart
{"title":"水会计数据利益相关者的识别与链接","authors":"Ryan Prater, Barbara Eisenbart","doi":"10.29007/mjn2","DOIUrl":null,"url":null,"abstract":"Purpose – Multiple water accounting techniques exist and suffer from data gaps and mis- aligned stakeholders which creates standardization and consolidation problems in the data of the industry. This study identifies domain-based stakeholders and defines stakeholder data relationships to improve inter-stakeholder data efficiency.Design/methodology/approach – The research design follows an inductive data col- lection of qualitative cross-sectional data through semi-structured expert interviews. The recorded interviews were transcribed, thematically coded, and the findings summarized.Findings – The result is an improved specificity of water accounting data stakeholders which have different data input and output requirements. Our research found that these stakeholders can be chained together based on their data relationships which enables iden- tifying inter-stakeholder relationships and improved data efficiency.Social Implications – Water is a vital resource for humans and the United Nations Sustainable Development Goals. More precise description of stakeholders and data factors enable more efficient data flow which can improve the efficacy of terminal impact.Originality/value – The awareness of problem is refined by increasing stakeholder speci- ficity and identifying data input/output requirements. This enables chaining of stake- holders and data to clarify stakeholder data requirements and improve data efficiency for purposes such as collaboration and policy guidance.","PeriodicalId":93549,"journal":{"name":"EPiC series in computing","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification and Chaining of Water Accounting Data Stakeholders\",\"authors\":\"Ryan Prater, Barbara Eisenbart\",\"doi\":\"10.29007/mjn2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose – Multiple water accounting techniques exist and suffer from data gaps and mis- aligned stakeholders which creates standardization and consolidation problems in the data of the industry. This study identifies domain-based stakeholders and defines stakeholder data relationships to improve inter-stakeholder data efficiency.Design/methodology/approach – The research design follows an inductive data col- lection of qualitative cross-sectional data through semi-structured expert interviews. The recorded interviews were transcribed, thematically coded, and the findings summarized.Findings – The result is an improved specificity of water accounting data stakeholders which have different data input and output requirements. Our research found that these stakeholders can be chained together based on their data relationships which enables iden- tifying inter-stakeholder relationships and improved data efficiency.Social Implications – Water is a vital resource for humans and the United Nations Sustainable Development Goals. More precise description of stakeholders and data factors enable more efficient data flow which can improve the efficacy of terminal impact.Originality/value – The awareness of problem is refined by increasing stakeholder speci- ficity and identifying data input/output requirements. This enables chaining of stake- holders and data to clarify stakeholder data requirements and improve data efficiency for purposes such as collaboration and policy guidance.\",\"PeriodicalId\":93549,\"journal\":{\"name\":\"EPiC series in computing\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EPiC series in computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29007/mjn2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPiC series in computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29007/mjn2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的-存在多种水会计技术,并遭受数据差距和不一致的利益相关者,这造成了行业数据的标准化和整合问题。本研究识别基于领域的利益相关者,并定义利益相关者的数据关系,以提高利益相关者之间的数据效率。设计/方法论/方法-研究设计遵循通过半结构化专家访谈的定性横截面数据的归纳数据收集。对记录的访谈进行转录、主题编码,并对调查结果进行总结。结果是提高了具有不同数据输入和输出要求的水会计数据利益相关者的特异性。我们的研究发现,这些利益相关者可以根据他们的数据关系链接在一起,从而可以识别利益相关者之间的关系,提高数据效率。社会影响-水是人类和联合国可持续发展目标的重要资源。更精确地描述利益相关者和数据因素,使数据流更有效,从而提高终端影响的有效性。独创性/价值——通过增加利益相关者的特殊性和识别数据输入/输出要求来改进对问题的认识。这使得利益相关者和数据链能够澄清利益相关者的数据需求,并提高数据效率,用于协作和政策指导等目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identification and Chaining of Water Accounting Data Stakeholders
Purpose – Multiple water accounting techniques exist and suffer from data gaps and mis- aligned stakeholders which creates standardization and consolidation problems in the data of the industry. This study identifies domain-based stakeholders and defines stakeholder data relationships to improve inter-stakeholder data efficiency.Design/methodology/approach – The research design follows an inductive data col- lection of qualitative cross-sectional data through semi-structured expert interviews. The recorded interviews were transcribed, thematically coded, and the findings summarized.Findings – The result is an improved specificity of water accounting data stakeholders which have different data input and output requirements. Our research found that these stakeholders can be chained together based on their data relationships which enables iden- tifying inter-stakeholder relationships and improved data efficiency.Social Implications – Water is a vital resource for humans and the United Nations Sustainable Development Goals. More precise description of stakeholders and data factors enable more efficient data flow which can improve the efficacy of terminal impact.Originality/value – The awareness of problem is refined by increasing stakeholder speci- ficity and identifying data input/output requirements. This enables chaining of stake- holders and data to clarify stakeholder data requirements and improve data efficiency for purposes such as collaboration and policy guidance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.60
自引率
0.00%
发文量
0
期刊最新文献
ARCH-COMP23 Category Report: Hybrid Systems Theorem Proving ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics ARCH-COMP23 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics ARCH-COMP23 Repeatability Evaluation Report ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1