Risk perception and intelligent decision in complex social information network

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Desheng Wu ◽  
Jingxiu Song ◽  
Yuan Bian ◽  
Xiaolong Zheng ◽  
Zhu Zhang

PurposeThe increase of turbulence sources and risk points under the complex social information network has brought severe challenges. This paper discusses risk perception and intelligent decision-making under the complex social information network to maintain social security and financial security.Design/methodology/approachCross-modal semantic fusion and social risk perception, temporal knowledge graph and analysis, complex social network intelligent decision-making methods have been studied. A big data computing platform of software and hardware integration for security combat is constructed based on the technical support.FindingsThe software and hardware integration platform driven by big data can realize joint identification of significant risks, intelligent analysis and large-scale group decision-making.Practical implicationsThe integrated platform can monitor the abnormal operation and potential associated risks of Listed Companies in real-time, reduce information asymmetry and accounting costs and improve the capital market's ability to serve the real economy. It can also provide critical technical support and decision support in necessary public opinion monitoring and control business.Originality/valueIn this paper, the theory of knowledge-enhanced multi-modal multi-granularity dynamic risk analysis and intelligent group decision-making and the idea of an inference think tank (I-aid-S) is proposed. New technologies and methods, such as association analysis, time series evolution and super large-scale group decision-making, have been established. It's also applied in behavior and situation deduction, public opinion and finance and provides real-time, dynamic, fast and high-quality think tank services.

2016 ◽  
Vol 48 (6) ◽  
pp. 284-293 ◽  
Author(s):  
Charis A. Marentakis ◽  
Panagiotis Panagos ◽  
Afroditi Riga

Purpose – The purpose of this paper is to present a systematic methodology (NaviGaTor) combining a structured method for the evolutionary design of training programs with Nominal Group Technique (NGT) setting supporting the involvement of a diverse set of participants and experts. Design/methodology/approach – The paper describes the necessity and efficiency of group decision making in the design of training programs, focussing on how participants can convey experience and knowledge and how NGT can enhance idea generation and support convergence of opinions. The methodology evolved from a paper-based format to a web-based format, thus supporting remote participation. Findings – The application of the methodology in a large-scale multi-national training design program confirms practical implications on the usability, efficiency and effectiveness of the proposed structured group decision-making methodology. Research limitations/implications – The systematic training design methodology presented herein not only enhances previous findings from the literature but also sets the foundations for future research on the importance of diversity of ideas and experiences from many experts in the design of training programs. Practical implications – After a series of successful applications for the design of training programs in several mid-scale intra-company projects, the methodology was applied successfully in a multi-national large-scale project focussing on the design of corporate training programs on stress management with very promising results. Originality/value – The proposed methodology was the first one to be applied through a systematic and structured process and constitutes a practical tool for the efficient design of training programs through an evolutionary and structured process based on idea generation from experts.


2016 ◽  
Vol 54 (7) ◽  
pp. 1649-1668 ◽  
Author(s):  
Petru Lucian Curseu ◽  
Sandra G. L. Schruijer ◽  
Oana Catalina Fodor

Purpose – The purpose of this paper is to test the influence of collaborative and consultative decision rules on groups’ sensitivity to framing effect (FE) and escalation of commitment (EOC). Design/methodology/approach – In an experimental study (using a sample of 233 professionals with project management experience), the authors test the effects of collaborative and consultative decision rules on groups’ sensitivity to EOC and FE. The authors use four group decision-making tasks to evaluate decision consistency across gain/loss framed decision situations and six decision tasks to evaluate EOC for money as well as time as resources previously invested in the initial decisions. Findings – The results show that the collaborative decision rule increases sensitivity to EOC when financial resources are involved and decreases sensitivity to EOC when time is of essence. Moreover, the authors show that the collaborative decision rule decreases sensitivity to FE in group decision making. Research limitations/implications – The results have important implications for group rationality as an emergent group level competence by extending the insights concerning the impact of decision rules on emergent group level cognitive competencies. Due to the experimental nature of the design, the authors can probe the causal relations between the investigated variables, yet the authors cannot generalize the results to other settings. Practical implications – Managers can use the insights of this study in order to optimize the functioning of decision-making groups and to reduce their sensitivity to FEs and EOC. Originality/value – The study extends the research on group rationality and it is one of the few experimental attempts used to understand the role of decision rules on emergent group level rationality.


Author(s):  
Rajali Maharjan ◽  
Shinya Hanaoka

Purpose The purpose of this paper is to reveal the importance of the order of establishment of temporary logistics hubs (TLHs) when resources (mobile storage units used as TLHs) are limited and to present the development and implementation of a methodology that determines the order of establishment of TLHs to support post-disaster decision making. Design/methodology/approach It employed a decision support system that considers multiple decision makers and subjective attributes, while also addressing the impreciseness inherent in post-disaster decision making for ordering the establishment of TLHs. To do so, an optimization model was combined with a fuzzy multi-attribute group decision making approach. A numerical illustration was performed using data from the April 2015 Nepal Earthquake. Findings The results showed the location and order of establishment of TLHs, and demonstrated the impact of decision makers’ opinions on the overall ordering. Research limitations/implications The study does not discuss the uncertain nature of the location problem and the potential need for relocation of TLHs. Practical implications This methodology offers managerial insights for post-disaster decision making when resources are limited and their effective utilization is vital. The results highlight the importance of considering the opinions of multiple actors/decision makers to enable coordination and avoid complication between the growing numbers of humanitarian responders during disaster response. Originality/value This study introduces the concept of the order of establishment of TLHs and demonstrates its importance when resources are limited. It develops and implements a methodology determining the order of establishment of TLHs to support post-disaster decision making.


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