政府数据分析、创新、吸收和公民需求感知能力:模糊集分析

Q3 Business, Management and Accounting International Journal of Services Operations and Informatics Pub Date : 2020-11-06 DOI:10.1504/ijsoi.2020.10027172
Yousef Riyad Al Saraireh, M. Akkaya, Arif Sari
{"title":"政府数据分析、创新、吸收和公民需求感知能力:模糊集分析","authors":"Yousef Riyad Al Saraireh, M. Akkaya, Arif Sari","doi":"10.1504/ijsoi.2020.10027172","DOIUrl":null,"url":null,"abstract":"Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction.","PeriodicalId":35046,"journal":{"name":"International Journal of Services Operations and Informatics","volume":"10 1","pages":"288"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Government data analytics, innovative, absorptive and citizens-demand sensing capability:A fuzzy set analysis\",\"authors\":\"Yousef Riyad Al Saraireh, M. Akkaya, Arif Sari\",\"doi\":\"10.1504/ijsoi.2020.10027172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction.\",\"PeriodicalId\":35046,\"journal\":{\"name\":\"International Journal of Services Operations and Informatics\",\"volume\":\"10 1\",\"pages\":\"288\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Services Operations and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijsoi.2020.10027172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Services Operations and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijsoi.2020.10027172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 1

摘要

大数据已经广泛地与商业企业联系在一起。最近的理论和实践证据表明,政府使用大数据可以提高服务质量、问责制和决策。本文利用基于知识的理论(KBT)来展示政府数据分析(GDA)实践如何促进公共部门的创新、吸收和公民需求感知能力。调查数据是从约旦内政部的员工中随机获得的,并使用模糊集(fsQCA)技术对数据进行分析。根据fsQCA的研究结果:GDA实践和组织任期是创新能力的必要配方,公民需要感知能力和吸收能力。然而,员工的年龄、收入和教育程度并不是重要的因素。对理论和实践的启示以及局限性和未来的研究方向进行了讨论。
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
Government data analytics, innovative, absorptive and citizens-demand sensing capability:A fuzzy set analysis
Big data has been widely associated with business enterprises. Recent theoretical and practical evidence denote that the use of Big data by government can boost service quality, accountability and decision-making. This paper draws on knowledge-based theory (KBT) to demonstrate how government data analytics (GDA) practices fosters innovation, absorptive and citizens-demand sensing capability in the public sector. Survey data were obtained randomly from employees working in the Jordanian Interior ministry and a fuzzy sets (fsQCA) technique was used to analyse the data. According to the findings from fsQCA: GDA practices and organisational tenure are the necessary recipes for innovative capability, citizens-demand sensing capability and absorptive capability. However, employees age, income and education were not important recipes. Implications for theory and practices are discussed alongside the limitations and future research direction.
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
International Journal of Services Operations and Informatics
International Journal of Services Operations and Informatics Business, Management and Accounting-Management Information Systems
CiteScore
1.60
自引率
0.00%
发文量
9
期刊介绍: The advances in distributed computing and networks make it possible to link people, heterogeneous service providers and physically isolated services efficiently and cost-effectively. As the economic dynamics and the complexity of service operations continue to increase, it becomes a critical challenge to leverage information technology in achieving world-class quality and productivity in the production and delivery of physical goods and services. The IJSOI, a fully refereed journal, provides the primary forum for both academic and industry researchers and practitioners to propose and foster discussion on state-of-the-art research and development in the areas of service operations and the role of informatics towards improving their efficiency and competitiveness.
期刊最新文献
Modeling Customer Experience in Digital Services Extending and demonstrating an engineering communication framework utilising the digital twin concept in a context of factory layouts Interactive eWOM, consumer engagement, loyalty, eWOM sharing, and purchase behavior nexus: An integrated framework for tourism and hospitality industry Neuromarketing and e-commerce: analysis of Over the Top platform homepages News Classification using Text Data Generators and Convolutional Neural Network (CNN)
×
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