A Privacy-Aware Conceptual Framework for Coordination

被引:0
|
作者
Elahi, Haroon [1 ]
Wang, Guojun [1 ]
Zhang, Wei [1 ]
机构
[1] Guangzhou Univ, Sch Comp Sci & Educ Software, Guangzhou 510006, Guangdong, Peoples R China
来源
2017 15TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS AND 2017 16TH IEEE INTERNATIONAL CONFERENCE ON UBIQUITOUS COMPUTING AND COMMUNICATIONS (ISPA/IUCC 2017) | 2017年
基金
中国国家自然科学基金;
关键词
Coordination; Computer Supported Cooperative Work; Information System Design; Privacy; Distributed Environments; ORGANIZATION; COMMUNITIES; PERFORMANCE; GOVERNANCE; FUTURE; MODEL;
D O I
10.1109/ISPA/IUCC.2017.00036
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Enterprise architects and information system designers need to understand and manage workflows, data flows, and social interactions to design tools and systems for well-coordinated organizational operations. However, the organizational-nature has drastically transformed over the recent years due to wide-scale use of new computing technologies. Disintegrated structures, large quantities of frequently-generated data, and dubious system and interaction boundaries are some of the obvious identifiers of a modern enterprise, where poorly designed coordination can lead to serious privacy risks. Old coordination modeling frameworks do not set well for the new organizational settings, and a need for alternative models and frameworks has been felt. In this paper, we propose a privacy-aware conceptual framework for understanding coordination by identifying and mapping work, data, and interaction patterns in organizational environments. These propositions intend to help practitioners in developing an updated understanding of the coordination that serves privacy needs, as well.
引用
收藏
页码:190 / 197
页数:8
相关论文
共 50 条
  • [31] Privacy-Aware Guessing Efficiency
    Asoodeh, Shahab
    Diaz, Mario
    Alajaji, Fady
    Linder, Tams
    2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, : 754 - 758
  • [32] Privacy-Aware Network Monitoring
    Dorfinger, Peter
    Schmoll, Carsten
    Strohmeier, Felix
    ERCIM NEWS, 2009, (77): : 28 - 29
  • [33] Privacy-aware electronic society
    Maryline Laurent
    Sara Foresti
    Heng Xu
    annals of telecommunications - annales des télécommunications, 2014, 69 : 1 - 2
  • [34] Privacy-Aware Trust Negotiation
    Rios, Ruben
    Fernandez-Gago, Carmen
    Lopez, Javier
    SECURITY AND TRUST MANAGEMENT, STM 2016, 2016, 9871 : 98 - 105
  • [35] Towards privacy-aware eLearning
    Borcea, Katrin
    Donker, Hilko
    Franz, Elke
    Pfitzmann, Andreas
    Wahrig, Hagen
    PRIVACY ENHANCING TECHNOLOGIES, 2006, 3856 : 167 - 178
  • [36] Privacy-aware loyalty programs
    Blanco-Justicia, Alberto
    Domingo-Ferrer, Josep
    COMPUTER COMMUNICATIONS, 2016, 82 : 83 - 94
  • [37] Privacy-Aware Rejection Sampling
    Awan, Jordan
    Rao, Vinayak
    JOURNAL OF MACHINE LEARNING RESEARCH, 2023, 24 : 1 - 32
  • [38] Privacy-aware Linked Widgets
    Fernandez, Javier D.
    Ekaputra, Fajar J.
    Aryan, Peb Ruswono
    Kiesling, Elmar
    Azzam, Amr
    COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ), 2019, : 508 - 514
  • [39] Privacy-Aware MMSE Estimation
    Asoodeh, Shahab
    Alajaji, Fady
    Linder, Tamas
    2016 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2016, : 1989 - 1993
  • [40] Optimal Privacy-Aware Estimation
    Nekouei, Ehsan
    Sandberg, Henrik
    Skoglund, Mikael
    Johansson, Karl Henrik
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 67 (05) : 2253 - 2266