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Herding can impact a group outcome in different ways and can lead to functional or dysfunctional teams resulting in optimal, sub-optimal outcomes, or no outcome. The authors study herding in context of teams with a measurable outcome and discuss how they ...

Blockchain technology has brought opportunities and challenges to many fields, including operations and supply chain management. Due to the innovative characteristics of decentralization, transparency, immutability, and anonymity, blockchain ...

• Herding exists in blockchain technologies; the blockchain application's operation and user identity shape herding behaviors.
• Technical assurance and decentralized management efforts reduce users' herding tendencies.
• The higher the ...

Websites that allow consumers to post online reviews often allow others to signal the value of the reviews by voting for them as being helpful (i.e., an upvote) or unhelpful (i.e., a downvote). Although a review's content should drive ...

• Previous upvotes/downvotes of a review influence how future consumers vote.
• ...

Herding is a deterministic algorithm used to generate data points regarded as random samples satisfying input moment conditions. This algorithm is based on a high-dimensional dynamical system and rooted in the maximum entropy principle of ...

In recent years, more and more wealth management platforms have adopted Internet wealth management (IWM) services to attract users. Due to the intensive competition and low switching costs, it is essential for platforms to enhance users’ ...

This paper investigated the role of information related, social and customer characteristics in public information adoption tendencies of online customers to result in herding in e-commerce. E-commerce platforms contains numerous online reviews ...

The peer economy, such as crowdfunding, democratizes access to tasks available only to professionals. Although the peer economy has gained great popularity in practice, how crowds infer information from their peers, especially from experts, is ...

This paper explores the differential impact of multi-agent system heterogeneity in the context of an idealised herding task. In simulation, a team of simple herders must move a flock towards a target location in a continuous 2d space. Flock ...

The purpose of this paper is to build an agent-based model which is adapted to study the information cascades in financial markets. Thus, we design and implement a model with asynchronous continuous-time management, populated by heterogeneous ...

Big data technology enables us to access tremendous amounts of information; however, individuals cannot process all available information due to the bounded attention. The impact of this tension upon information seeking and processing behaviors ...

• VR evacuation experiment with three crowd flow patterns was done in three cities.

This study aimed to examine the influence of crowd flow on human evacuation behavior during building fire emergencies, when evacuees perceive high uncertainty in the environment and experience mental stress. Evacuation experiments were ...

Herded Gibbs (HG) and discretized herded Gibbs (DHG), which are Gibbs samplings combined with herding, are deterministic sampling algorithms for Markov random fields with discrete random variables. In this paper, we introduce the notion of “weight ...

We take the model of Alfarano et al. (J Econ Dyn Control 32:101---136, 2008) as a prototype agent-based model that allows reproducing the main stylized facts of financial returns. The model does so by combining fundamental news driven by Brownian motion ...

One explanation for large stock market fluctuations is its tendency to herd behavior. We put forward an agent-based model where instabilities are the result of liquidity imbalances amplified by local interactions through imitation, and calibrate the ...

The rise of social media has facilitated consumer social interactions. Many product-focused online social platforms have included design features that can convey more information about product quality as well as the credibility of the members of the ...

We study lender behavior in the peer-to-peer (P2P) lending market, where individuals bid on unsecured microloans requested by other individual borrowers. Online P2P exchanges are growing, but lenders in this market are not professional investors. In ...

Developing a herd localization system capable to operate unattended in communication-challenged areas arises from the necessity of improving current systems in terms of cost, autonomy or any other facilities that a certain target group (or overall users)...

Financial markets are complex adaptive systems, in which investors' behaviors and the dynamic diversity have much impacts on the quality of market, and investors adapt to the environment by improving their strategies. Based on the research achievements ...