Expert Delphi Survey as a Cloud-Based Decision Support Service

被引:7
|
作者
Skulimowski, Andrzej M. J. [1 ,2 ]
机构
[1] AGH Univ Sci & Technol, Dept Automat Control & Biomed Engn, Decis Sci Lab, Krakow, Poland
[2] Progress & Business Fdn, Int Ctr Decis Sci & Forecasting, Krakow, Poland
关键词
online Delphi survey; corporate foresight; multi-round decision Delphi; statistical analysis; group decision support; strategic decision making; technological scenarios; REAL-TIME; TOOL;
D O I
10.1109/SOCA.2017.33
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The essence of the online Delphi method is multiple round interviews of an expert group who answer questions in a structured e-survey and verify hypotheses called Delphi statements or questions. These can be defined by the client contracting the study or the core experts employed by the Delphi supplier, usually a consulting or research institution. The questions can have various forms: binary ("yes/no"), qualitative - Likert-scale-valued, or quantitative. A flexible survey system should offer a variety of question and/or statement types, as well as a user-friendly interface to reply or verify them. Additionally, the replies should be analyzed by strict statistical and uncertainty handling methods to yield consistent recommendations to the survey stakeholders. The 'decision Delphi' is a survey variant that corresponds most strictly to the needs of organizations that look for expert knowledge concerning specific technological, market or other business problems. This type of survey also fits the needs of medical research on future therapy, epidemics, health care issues, etc. Its characteristic feature is the participation of the client's staff or the decision makers themselves. The cloud-based application Forgnosis (TM) is a modern implementation of a decision Delphi endowed with sophisticated analytic features. We will present its capabilities based on a recent survey and analysis case carried out for the EU Horizon 2020 flagship project MOVING. This system is offered in SaaS mode, with some PaaS functionalities. The latter include a variety of programming tools for designing the organization's customized survey.
引用
收藏
页码:190 / 197
页数:8
相关论文
共 50 条
  • [21] A Cloud-based Kanban Decision Support System for Resource Scheduling & Management
    Krishnaiyer, Krishnan
    Chen, F. Frank
    27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 : 1489 - 1494
  • [22] Cloud-based decision support systems and availability context: the probability of successful decision outcomes
    Stephen Russell
    Victoria Yoon
    Guisseppi Forgionne
    Information Systems and e-Business Management, 2010, 8 : 189 - 205
  • [23] DDOS Mitigation Cloud-Based Service
    Guenane, Fouad
    Nogueira, Michele
    Serhrouchni, Ahmed
    2015 IEEE TRUSTCOM/BIGDATASE/ISPA, VOL 1, 2015, : 1363 - 1368
  • [24] Cloud-based Service-management
    不详
    CHEMIE INGENIEUR TECHNIK, 2021, 93 (11) : 1672 - 1672
  • [25] Cloud-Based Manufacturing and Service Systems
    Chen, Tin-Chih Toly
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2017, 32 (04)
  • [27] A cloud-based fuzzy approach for spatial site selection in decision support system
    Fu Xiao-xi
    You, Byeong-Seob
    Xia Ying
    Kim, Gyung-Bae
    Bae, Hae-Young
    ASGIS 2007: 5TH ASIAN SYMPOSIUM ON GEOGRAPHIC INFORMATION SYSTEMS, 2007, : 328 - 334
  • [28] Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion
    Aftab, Shabib
    Alanazi, Saad
    Ahmad, Munir
    Khan, Muhammad Adnan
    Fatima, Areej
    Elmitwally, Nouh Sabri
    CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 68 (01): : 1341 - 1357
  • [29] An Extensible Software Platform for Cloud-based Decision Support and Automation in Precision Agriculture
    Tan, Li
    Hou, Hongfei
    Zhang, Qin
    PROCEEDINGS OF 2016 IEEE 17TH INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IEEE IRI), 2016, : 218 - 225
  • [30] Cloud-Based Mobile Testing as a Service
    Tao, Chuanqi
    Gao, Jerry
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2016, 26 (01) : 147 - 152