We explored decision-making dynamics in social systems, referencing the 'herd
behavior' from prior studies where individuals follow preceding choices without
understanding the underlying reasons. While previous research highlighted a
preference for the optimal choice without external influences, our study
introduced principals or external guides, adding complexity to the
decision-making process. The reliability of these principals significantly
influenced decisions. Notably, even occasional trust in an unreliable principal
could alter decision outcomes. Furthermore, when a principal's advice was
purely random, heightened trust led to more decision errors. Our findings
emphasize the need for caution when placing trust in decision-making contexts.

我们研究了社会系统中的决策动力学，参考了以前的研究中的 “兽群行为”，即个体在不了解背后原因的情况下跟随前面的选择。虽然先前的研究强调了在没有外部影响下对最优选择的偏好，但我们的研究引入了校长或外部指导，增加了决策过程的复杂性。这些校长的可靠性显著影响决策。值得注意的是，即使偶尔对一个不可靠的校长产生信任也会改变决策结果。此外，当校长的建议纯粹是随机的时候，信任度的提高会导致更多的决策错误。我们的研究结果强调在决策背景中对放置信任时的谨慎性。

决策路线导航：校长对决策动态的影响

Navigating Decision Landscapes: The Impact of Principals on  Decision-Making Dynamics

The paper uses the SCOP theory of concepts to model the role of environmental
context on three levels of entrepreneurial opportunity: idea generation, idea
development, and entrepreneurial decision. The role of contextual-fit in the
generation and development of ideas is modeled as the collapse of their
superposition state into one of the potential states that composes this
superposition. The projection of this collapsed state on the socio-economic
basis results in interference of the developed idea with the perceptions of the
supporting community, undergoing an eventual collapse for an entrepreneurial
decision that reflects the shared vision of its stakeholders. The developed
idea may continue to evolve due to continuous or discontinuous changes in the
environment. The model offers unique insights into the effects of external
influences on entrepreneurial decisions.

使用 SCOP 概念理论建模环境背景对企业家机会的影响，认为社会经济基础对生成和发展的想法具有干涉作用，而共同愿景反映了团体利益，环境变化可能导致不同的决策结果。

探讨背景依赖对创业机会认知和实现的作用模型

Modeling the Role of Context Dependency in the Recognition and  Manifestation of Entrepreneurial Opportunity

Social networks play a fundamental role in the diffusion of information.
However, there are two different ways of how information reaches a person in a
network. Information reaches us through connections in our social networks, as
well as through the influence of external out-of-network sources, like the
mainstream media. While most present models of information adoption in networks
assume information only passes from a node to node via the edges of the
underlying network, the recent availability of massive online social media data
allows us to study this process in more detail. We present a model in which
information can reach a node via the links of the social network or through the
influence of external sources. We then develop an efficient model parameter
fitting technique and apply the model to the emergence of URL mentions in the
Twitter network. Using a complete one month trace of Twitter we study how
information reaches the nodes of the network. We quantify the external
influences over time and describe how these influences affect the information
adoption. We discover that the information tends to "jump" across the network,
which can only be explained as an effect of an unobservable external influence
on the network. We find that only about 71% of the information volume in
Twitter can be attributed to network diffusion, and the remaining 29% is due to
external events and factors outside the network.

通过 Twitter 网络一月的完整跟踪，研究了信息传播的两种方式以及外部事件和因素对信息传播的影响，发现只有约 71% 的信息量可以归因于网络弥散，其余 29% 是由网络外部的事件和因素引起的。