Estimation for change point of discretely observed ergodic diffusion processes

We treat the change point problem in ergodic diffusion processes from discrete observations. Tonaki et al. (2021a) proposed adaptive tests for detecting changes in the diffusion and drift parameters in ergodic diffusion process models. When any change in the diffusion or drift parameter is detected by this or any other method, the next question to consider is where the change point is located. Therefore, we propose the method to estimate the change point of the parameter for two cases: the case where there is a change in the diffusion parameter, and the case where there is no change in the diffusion parameter but a change in the drift parameter. Furthermore, we present rates of convergence and distributional results of the change point estimators. Some examples and simulation results are also given.     

Organizations and the structure of culture

Recent work emphasizes how organizations and organizing are suffused by culture. Ignored, however, is the question of how organizations and organizing shape cultural understandings. In this paper, we draw attention to how organizations impact the creation, maintenance, and matching of cultural associations: The “structure of culture.” Cultural associations are distributed understandings of “what goes with what,” diffused via their co-adoption by individual and corporate actors. We argue that the process of associative diffusion is heavily influenced by organizational forms, routines, and operations. While organizations shape culture production, they likewise shape resulting associations between cultural items, actively modifying the structure of culture. We conclude that the role of organizations in shaping the structure and dynamics of culture should be a central topic of study moving forward.     

社会化媒体环境下的品牌传播及品牌形象差异——基于华为与海尔的比较研究

社会化媒体已成为企业品牌形象塑造的重要方式。本文以华为与海尔为研究对象，采用数据挖掘和社会网络分析方法对选取的26,503,570和3,277,717个微博用户数据进行品牌传播的过程研究，并选取两个典型事件分析信息扩散过程，然后通过高频词云图比较社会化媒体呈现的品牌形象与企业欲塑造的品牌形象之间的差异。结果显示：参与华为相关话题讨论的用户数量明显高于海尔，其传播声量亦较高；典型事件分析中，华为的“易烊千玺为nova全球代言人”得到了更多的用户关注，尤其是拥有大量粉丝账号的转发，迅速扩大了传播网络规模，而海尔的“搞笑抽奖活动”则更多的是用户直接转发、参与相关活动，拥有大量粉丝的账号参与较少；在品牌形象呈现方面，海尔的高频词云图中智慧、智能、生活直观展示出其欲塑造的品牌形象，而华为用户参与讨论的内容更为多样，但用户生成内容未能直观展示其欲塑造的品牌形象。     

Moving from ‘what we know works’ to ‘what we do in practice’: An evidence overview of implementation and diffusion of innovation in transition to adulthood for care experienced young people

Global research has shown that most young people who are care experienced are not prepared to transition to independent living at 18 years of age and require support into early adulthood. We used rigorous systematic methods to identify English-based peer reviewed and grey literature describing innovations relevant to care experienced young people as they transition into adulthood, with a focus upon lessons for their implementation and diffusion. We synthesised the evidence narratively and organise data linked to seven key areas important to the transition to adulthood: (1) Health and well-being; (2) relationships; (3) education and training; (4) employment; (5) participation in society; (6) accommodation; (7) other. Twenty-five papers met our inclusion criteria. This review has found that, whilst there are a broad spectrum of innovations taking place within the social care environment for care experienced young people to support their transition into adulthood, there exists limited insight into how best to support implementation and diffusion of evidence-based innovation. We drew upon the ‘Consolidated Framework for Implementation Research’, developed in the setting of clinical service delivery, to highlight challenges in implementing and diffusing evidence-based innovation for care experienced young people transitioning into adulthood.     

Diffusion of innovations through social networks: Determinants and implications

Social scientists have long been interested in the diffusion of innovations—the process by which new ideas, behavior, and practices spread between persons, organizations, and even countries. While innovations can enter a community through various channels, ongoing spread of innovations through a community occurs through the medium of social networks—collections of interpersonal or digital relationships connecting actors to each other. Social networks are important for diffusion because relationships foster communication, trust, and flow of information. Diffusion outcomes are also shaped by the structural properties of social networks such as density, centrality, and strength of ties, as well as properties of the innovation and the actors involved in the process. The purpose of the article is twofold: (1) to take stock of the field and review ongoing debates on the role of social networks in the diffusion of innovations and (2) to summarize the sociological implications of the diffusion of innovations through social networks.