Collective Intelligence for Decision-Making in Complex Environments: Literature Review

Rincón, Daniela; Valdes, Jhonatan; Bohórquez, Luz Esperanza

doi:10.1007/978-3-319-92007-8_40

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Ingeniería Solidaria Intelligence" and through secondary sources such as [18] and [25] , it was possible to find the necessary references to locate the sources of early models or applications of CI in human social systems (HSS) and words related to the topic such as "Crowdsourcing" or "Collective Intelligence and Crowdsourcing". This gave rise to some examples of the use of CI in specific areas such as: medical cases, the web or the Internet (reCAPTCHA, Wikipedia, Google, linux), specialized digital platforms (DuoLingo, m-learning , eHealth, iPixel, Galen and DDtrac), applications (mashup) and some ways of using CI to solve social, environmental or educational problems.…”

Section: Source: Own Workmentioning

confidence: 99%

Design of the organizational structure and coordination of an observatory based on collective intelligence

2020

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Introduction: This article is the product of research developed within the framework of the Emple-ap Project, throughout 2019 at the School of Industrial Engineering, Universidad Distrital Francisco Jose de Caldas. Problem: Limitations in the use of traditional hierarchical structures for the management of organizations based on control hierarchies, due to their difficulty in operating efficiently in human social systems (HSS). Objective: To generate a general proposal to understand the structure and organizational management for the observatory of employability of the Pacific Alliance (PA) supported by collective intelligence (CI) and high reliability organization (HRO). Methodology: The methodology for the development of the proposal is supported on grounded theory, in which the design emerges from the statements made in previous research. Results: Based on the results of the review, it presents a proposal for organizational structure for the observatory, emphasizing the alternatives to divide and coordinate the work and the important characteristics of the structure to facilitate the exploitation of available resources. Conclusion: The CI and reliable organizations, are a different and decentralized way of management in organizations that allow you to create more flexible and robust systems. This study creates a general outline of the characteristics and main preconditions that must have a system based on CI. Originality: The main contribution of this research lies in the design of an organizational structure, different from the traditional hierarchical structure, supported by CI for the management of an entire organization. Limitations: Currently, there are no great advances with respect to organizational structures or alternatives to the traditional hierarchies of control, despite limitations in information processing and the impact that has on performance.

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Section: Source: Own Workmentioning

confidence: 99%

Design of the organizational structure and coordination of an observatory based on collective intelligence

2020

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“…Meanwhile, in the teams characterized by the use of CI inducers, the existence of a central controller is not considered and the decisions can be taken by all the members of the team. The CI structure would take advantage of resources and possibly having a better response to unexpected events and changing circumstances, although it could also have a cost due to the absence or ambiguity in the roles and affectation in the performance of the team [17] [18] [31] [37] [42].…”

Section: Introductionmentioning

confidence: 99%

Impact of structure on team performance

González

Lopez²,

Arévalo³

2021

ing. Solidar

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Introduction: This article is product of research on business self-organization developed at the Universidad Distrital Francisco Jose de Caldas on 2019-2020 starting from that collective intelligence (CI) has been viewed as an approach that enables from the use of the interactions among the agents and between these and the environment to increase the intelligence of the system; understood as the ability to take full advantage of distributed resources and to adapt nimbly to the changing conditions of the environment Methodology: in the first part, the conditions that may facilitate CI are explored through a review of the literature. In the second part an experiment is designed in a micro-world environment in which incorporate some of the conditions identified to facilitate the CI in the structure of a team and its performance is compared with a team that has a hierarchical structure. Results: the teams that have a structure with facilitates CI, present on average greater performance, coordination effectiveness and adaptability, as well as better interaction dynamics among the members. These teams present higher levels of interaction, information flows and activity among the participants, reflected in the number of interventions and in the use of the resources offered in the game. Conclusions: the increase in complexity that the application of IC inducers gives the team could be a predictor of better performances in environments of increasing complexity; in contrast to teams that have structures that reduce their complexity as the hierarchical structure. Originality: This article provides evidence regarding the incidence of roles in the performance of the company. Limitations: one of the main constraints is the virtual interaction between the participants and between them with the research team. Face-to-face interaction would allow more intensive use of affiliate links between participants. Keywords: collective intelligence, micro-world, hierarchical structure, organizational structure

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Social Manufacturing: What are its key fundamentals?

Guo

Yang

et al. 2020

IFAC-PapersOnLine

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Collective Intelligence for Decision-Making in Complex Environments: Literature Review

Cited by 4 publications

References 25 publications

Design of the organizational structure and coordination of an observatory based on collective intelligence

Design of the organizational structure and coordination of an observatory based on collective intelligence

Impact of structure on team performance

Social Manufacturing: What are its key fundamentals?

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