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1.
This paper examines how movie producers recruit directors in the preproduction phase as mutual choices in a two-sided matching model. It conceptualizes that movie attributes and filmmaker characteristics determine the matching outcomes (“who directed which movie”) and in turn indirectly affect movie box office. We exploit a dataset of 4,807 feature films from 1990 to 2010 to examine empirically the complementarities between the movie/producer side and the director side in terms of movie budget, filmmaker track records and social relations. A series of simulations suggest that social relations facilitate positive assortative matching. Further simulation analyses are conducted to quantify the financial implications of movie–director mismatches, as well as the indirect effects of production budget and producer characteristics. The simulation results show that: a) the financial implications of having a mismatched director can be substantial; and b) the indirect effect of production budget and producer characteristics affect movie box office in an interactive manner. These findings can help filmmakers to better understand the financial impacts of movie–director choices and make more informed decisions at the early phase of preproduction.  相似文献   
2.
This article examines peer influences from network relationships within a social network game (i.e., embeddedness) and across such games (i.e., multiplexity). Drawing on social influence theory, we develop a bivariate Poisson model of users’ repeated visits and latent attrition that accommodates peer interaction after controlling for homophily. We estimate the model using data from two social network games with considerable overlap among network members. We find that friends who are only multiplex across games exert greater peer influence on users’ game visits than members who are embedded within a single game. We also determined that ignoring network multiplexity across games may lead firms to mistarget users due to biased peer influences of embedded friends. This result provides an unresearched explanation—strength of peer influence—for the mixed findings in previous literature on network embeddedness. We utilized our results to conduct several scenario analyses to demonstrate how firms can effectively manage users’ engagement and target users in multiple social network games.  相似文献   
3.
We show that banks with shared social connections partner more often in the global syndicated loan market and that central banks in the network play dominant roles in various interbank transactions, indicating that social connections facilitate business connections. However, more centralized banks in the network also contribute significantly to the global systemic risk. Moreover, we find the soft information generated by social networks is particularly valuable when potential partners operate under different accounting and regulatory standards. Finally, we show that the recent banking crisis significantly limited the positive soft information effects of social networks in the global banking system.  相似文献   
4.
已有文献探讨了包容型领导对个体创造力的作用机制,然而包容型领导对团队创造力的影响机理尚未明晰。整合社会网络与交互记忆系统理论,以团队内部网络连带强度与交互记忆系统为连续中介,探究包容型领导对团队创造力的影响机理。基于78个团队样本的实证分析结果表明,包容型领导正向影响团队创造力,通过团队内部网络连带强度和交互记忆系统的中介作用对团队创造力产生正向影响;团队内部网络连带强度、交互记忆系统在包容型领导与团队创造力的关系中发挥链式中介作用。  相似文献   
5.
We construct the complete network of tail risk spillovers among major cryptocurrencies using the Least Absolute Shrinkage and Selection Operator (LASSO) quantile regression. We capture important features of the network, including major risk-driving and major risk-receiving currencies, and the evolution of the tail dependence among the currencies over time. Importantly, we reveal a striking finding that the right tail dependence among the cryptocurrencies is significantly stronger than the left tail counterpart. This unique characteristic may have contributed to the rise in popularity of cryptocurrencies over the last few years. Our portfolio analysis reveals that diversification in cryptocurrency investment can be accomplished simply by employing the naïve equal-weighted scheme even when transaction costs are taken into account.  相似文献   
6.
金融作为经济增长核心助推器,对其空间集聚与扩散的经济效应准确识别,是沿海地区发展蓝色经济的关键所在。本文以山东省为例,通过建立金融发展空间关联网络识别区域的金融空间关联关系,基于此设计金融关联空间权重矩阵,对金融空间关联的经济效应进行检验。结果表明:山东省城市间金融发展具有稳健的空间关联性;区域金融发展水平同区域经济发展之间存在显著正向促进效应,金融发展能有效拉动本区域经济状况,对周边区域经济正向拉动效应相对微弱。建议从加快推进区域一体化进程,加强城际间金融交流合作,鼓励金融创新发展等方面充分发挥金融发展正向溢出效应,拉动沿海地区蓝色经济向好发展。  相似文献   
7.
韩炜  彭靖 《南方经济》2021,40(10):85-102
创业网络对具有新进入缺陷的新创企业以及创业者而言有着至关重要的作用,不仅表现为"知识源"作用,也表现为"印记源"作用。印记理论指出个体或组织在其容易受到影响的时期,外部环境的显著特征将对其产生重大影响,个体和组织将打上环境特征的烙印,并且这种烙印将持续影响个体和组织的行为。基于此,本研究基于印记理论,利用对一家创业企业的归纳式纵向单案例分析探讨创业网络不同的结构属性经由何种印记过程,继而影响创业者学习方式的选择。结果表明:当创业网络表现为封闭、半开放以及开放的不同网络结构时,经由不同结构属性导致的结构印记和认知印记过程差异,影响着创业者实验式学习、观察式学习以及协同式学习的不同选择。  相似文献   
8.
Many models have been studied for forecasting the peak electric load, but studies focusing on forecasting peak electric load days for a billing period are scarce. This focus is highly relevant to consumers, as their electricity costs are determined based not only on total consumption, but also on the peak load required during a period. Forecasting these peak days accurately allows demand response actions to be planned and executed efficiently in order to mitigate these peaks and their associated costs. We propose a hybrid model based on ARIMA, logistic regression and artificial neural networks models. This hybrid model evaluates the individual results of these statistical and machine learning models in order to forecast whether a given day will be a peak load day for the billing period. The proposed model predicted 70% (40/57) of actual peak load days accurately and revealed potential savings of approximately USD $80,000 for an American university during a one-year testing period.  相似文献   
9.
揭示创客资本的内涵与特征,有助于深层次挖掘创客与经济社会发展之间的关系。运用关键词共现、社会网络分析和扎根理论方法,对148篇文献、21位由创客与众创空间负责人等构成研究对象的访谈资料和网络文本资料展开分析。社会网络分析发现互联网、数字经济、分享经济等是创客发展的重要驱动力,创客可借助众创空间社会网络跳出时空局限,运用网络资源参与大众创新活动,并与社会网络形成价值共创关系,推动协同创新和平台生态系统构建;扎根理论分析结果表明,创意制造、开放协同、网络共生、边际非稀缺是创客资本的4个核心特征,并印证了社会网络分析结果。基于上述分析结果,进一步基于社会网络理论界定了创客资本的内涵,提出未来需要深度挖掘创客资本与网络场景之间的交互机制及其结果效应。  相似文献   
10.
风险在孵化网络中的传播影响孵化网络健康水平,并会导致在孵企业高失败率与低成长率。为实现有效的网络治理,以两家国家级孵化器形成的实际网络为例,运用复杂网络理论中的SIR模型和仿真方法,模拟特定情境下风险在不同网络结构中的传播机理及其对孵化网络最终健康水平的影响。研究发现:孵化网络结构、风险传播与网络健康间具有显著相关性;在低初始健康分布情景下,无标度网络具有更快的恢复速度;在不同网络结构下,可视化水平均有助于提升孵化网络风险化解能力。  相似文献   
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