Collective-Intelligence and Decision-Making

Trigo, Paulo; Coelho, Hélder

doi:10.1007/978-94-007-0093-2_4

Cited by 5 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this context, the individual consumer does matter concerning such collective elements. The extant research appears to be in line with that of Bonabeau (2009) and Trigo and Coelho (2011), who contended that the collective intelligence is the paradigm that allows actors or influencers to solve specific problems and it emerges from the collaboration of individuals.…”

Section: Frequency and Duration Of Social Media Usesupporting

confidence: 60%

“…Prior studies (e.g. : Trigo and Coelho, 2011;Heylighen, 1999) have also shown how every single item (such as opinion leader's views, influences, shared context, sentiments) that make up the nuances of collective intelligence do affect and support the decision-making of an individual. In this context, the individual consumer does matter concerning such collective elements.…”

Section: Frequency and Duration Of Social Media Usementioning

confidence: 99%

See 1 more Smart Citation

Leadership, Contribution, Language and Shared Content as Metrics in Malaysian Millennials’ Decision Making

Amy

Carter

Shuo

2019

JBFEM

View full text Add to dashboard Cite

Millennials have purchasing power second only to ‘baby boomers’. This generation grew up in a time of immense and fast-paced technological change. The study aims to investigate how this particular group of consumers made the decision based on their influencers, share content and common language in a virtually connected environment. A positivist paradigm to amass data from different business undergraduates who are familiar with the various social media and online purchases were used. Results revealed positive correlations between the constructs in and also indicated that ‘factors in communicating’, ‘Influencers recommendations’, ‘opinion leaders advice’, and ‘agreements with reference partner’ were statistically significant, making a unique contribution of prediction to the decision-making process. The limitations apply to a country-specific context, small sample size and a specific type of respondent. Studies in other contexts and with different respondents may yield different results. Whilst the study has confirmed and reinforced the importance of social media as a potent force in communication to and within Millennial groups, the study has highlighted that ‘collective intelligence’ in the purchase decision-making process has emerged as a result of the coalescing of social media with other complex individual factors like methods of advice and agreement with opinion leaders.

show abstract

Section: Frequency and Duration Of Social Media Usesupporting

confidence: 60%

Section: Frequency and Duration Of Social Media Usementioning

confidence: 99%

Leadership, Contribution, Language and Shared Content as Metrics in Malaysian Millennials’ Decision Making

Amy

Carter

Shuo

2019

JBFEM

View full text Add to dashboard Cite

show abstract

“…Kim and Park argued that e-WOM in the community affects a consumer's impression of a business brand [14]. Trigo and Coelho indicated that collective intelligence derived from the information exchange behavior in consumer decision making informs purchase decisions [37].…”

Section: Consequences Of Social Shopping 241 Purchase Intention Andmentioning

confidence: 99%

Effects of Social Shopping Behavior from the Perspective of Collective Intelligence and Dissonance

Chiang

Liang

Yang

2021

IJECS

View full text Add to dashboard Cite

People increasingly depend on the consumer experiences of a virtual community when making purchasing decisions. Potential consumers search for different types of electronic word of mouth when choosing a product to purchase. Social shopping has numerous advantages, including community-based interaction and the sharing of consumer experiences; however, few studies have focused on measuring the effects of social shopping. This study established a conceptual framework for measuring the effects of social shopping activities, comprising the key elements of (1) the perceptions of social shopping activities, (2) collective intelligence and dissonance, and (3) the consequences of social shopping. This study collected 836 valid Internet user responses to an online survey. Partial least squares regression was used to analyze the relationship between the elements and to measure the effects in different social shopping stimuli. The purpose of this study is to build a model of social shopping activities and verified by PLS to establish a theoretical framework. The study found that only cognitive diversity in each path has no significant impact on collective intelligence, management mechanisms on imbalance, and imbalance on community loyalty. Moreover, most of the user perceptions summarized in this research can produce subsequent benefits and behaviors.

show abstract

“…Furthermore, computational complexity and privacy concerns often prohibit incentive-compatible mechanisms from being implemented even when they do exist in theory [22,28,9]. In HARE, necessary prior knowledge required to implement such mechanisms (e.g., the robots' state and action spaces) [12,27], is often not immediately available, and it is often not possible to obtain this information through auctions or similar revealed-preference mechanisms in a timely fashion [25,36,4]. Therefore, the regulator must experiment in real time to identify interventions that produce desirable societal outcomes.…”

Section: Relation To Mechanism Designmentioning

confidence: 99%

Regulating Highly Automated Robot Ecologies

Shen

Khemeiri²,

Almehrzi³

et al. 2017

Proceedings of the 5th International Conference on Human Agent Interaction

View full text Add to dashboard Cite

Highly automated robot ecologies (HARE), or societies of independent autonomous robots or agents, are rapidly becoming an important part of much of the world's critical infrastructure. As with human societies, regulation, wherein a governing body designs rules and processes for the society, plays an important role in ensuring that HARE meet societal objectives. However, to date, a careful study of interactions between a regulator and HARE is lacking. In this paper, we report on three user studies which give insights into how to design systems that allow people, acting as the regulatory authority, to effectively interact with HARE. As in the study of political systems in which governments regulate human societies, our studies analyze how interactions between HARE and regulators are impacted by regulatory power and individual (robot or agent) autonomy. Our results show that regulator power, decision support, and adaptive autonomy can each diminish the social welfare of HARE, and hint at how these seemingly desirable mechanisms can be designed so that they become part of successful HARE.

show abstract

Collective-Intelligence and Decision-Making

Cited by 5 publications

References 21 publications

Leadership, Contribution, Language and Shared Content as Metrics in Malaysian Millennials’ Decision Making

Leadership, Contribution, Language and Shared Content as Metrics in Malaysian Millennials’ Decision Making

Effects of Social Shopping Behavior from the Perspective of Collective Intelligence and Dissonance

Regulating Highly Automated Robot Ecologies

Contact Info

Product

Resources

About