Search results

This study is concerned with the dynamics of the internal communications at Netflix following the release of The Closer and the public debate that followed, testing Netflix's long-standing reputation for promoting diverse content and supporting a progressive organizational culture.

Using the circuit of culture (CoC) as a theoretical framework, this study applies a case study approach to analyze internal communication and strategic public relations in addressing this crisis.

This study's findings illustrate that by failing to interpret two of the five moments of the CoC, production and identity, Netflix negated the very values that constitute its brand. These findings have implications for how public relations' long-standing focus on two-way symmetrical communication is problematic, especially in the workplace.

The findings situate how the exertion of power within an organization, particularly in moments of identity and production, problematize the role of two-way symmetrical communication within an organization in crisis.

In this paper the co-authors, educators and organizers working together in a liberatory curriculum development organization (People's Education Movement Chicago), put forth a conceptualization of Critical Race Praxis (CRP) in education as it applies to K-12 curriculum and education writ large. They take Yamamoto's (1997) premise seriously in that they need to spend less time with abstract theorizing and more time in communities experiencing injustice.

The co-authors utilize critical race counterstory methodologies to analyze and (re)tell their experiences building and supporting justice-centered curriculum bound in CRP. In doing so, they share narratives that illuminate their individual and collective experiences navigating the gratuitous violence of white supremacy and other forms of structural oppression, and their work to center justice in and out of K-12 schools.

The findings provide examples of organizational praxes within the tenets of CRP (Conceptual, Material, Performative and Reflexive). For People’s Education Movement Chicago the conceptual conditions of their praxes begin with an intersectional analysis of schooling, education, and life. Within the CRP tenant of the material, the co-authors share experiences that detail their continuous political education and offer seven emergent ways of being and building to bound the material change they seek to create through their work. Next, the co-authors share their insights on the performative tenet, with a focus on curriculum, which creates learning experiences that support people to remember social movements and develop within them the curiosity and agency to act on their findings in ways that center justice and transformation. Finally, the findings related to reflexivity focus on the authors’ internal practices as a collective. The authors place process over product which, as they articulate, is a must if they are to produce a vital harvest for communities they work with and for.

The authors conclude the article with the following offerings useful to P-20 educators, researchers, school administrators and community members advancing more just educational futures: a commitment to the on the groundwork, situating social justice as an experiential phenomenon, the utilization of interdisciplinary approaches, collaborative work and capacity building, and a commitment to self and collective care.

As P-20 teachers, community workers, organizers, caregivers and education scholars of color building together in a K-12 curriculum development organization, the authors suggest that now is the moment to pivot away from the rhetoric of “we don't do CRT” and into work that constructs paths toward praxes bound in the tenets of CRP.

The purpose is twofold. First, this study aims to establish that black box tree-based machine learning (ML) models have better predictive performance than a standard linear regression (LR) hedonic model for rent prediction. Second, it shows the added value of analyzing tree-based ML models with interpretable machine learning (IML) techniques.

Data on Belgian residential rental properties were collected. Tree-based ML models, random forest regression and eXtreme gradient boosting regression were applied to derive rent prediction models to compare predictive performance with a LR model. Interpretations of the tree-based models regarding important factors in predicting rent were made using SHapley Additive exPlanations (SHAP) feature importance (FI) plots and SHAP summary plots.

Results indicate that tree-based models perform better than a LR model for Belgian residential rent prediction. The SHAP FI plots agree that asking price, cadastral income, surface livable, number of bedrooms, number of bathrooms and variables measuring the proximity to points of interest are dominant predictors. The direction of relationships between rent and its factors is determined with SHAP summary plots. In addition to linear relationships, it emerges that nonlinear relationships exist.

Rent prediction using ML is relatively less studied than house price prediction. In addition, studying prediction models using IML techniques is relatively new in real estate economics. Moreover, to the best of the authors’ knowledge, this study is the first to derive insights of driving determinants of predicted rents from SHAP FI and SHAP summary plots.

This study examines the impact of social media investor sentiment on the stock market performance through qualitative and quantitative proxies.

The authors use a sample of daily stock performance related to S&P 500 Index for the period from December 18, 2017, to December 18, 2018. The social media investor sentiment was assessed through qualitative and quantitative proxies. For qualitative proxies, the study relies on three social media resources”: Twitter, Trump Twitter account and StockTwits. The authors proposed 3 methods to reflect investor sentiment. For quantitative proxies, the number of daily messages published from Trump Twitter account and StockTwits is considered as a signal of investor sentiment. For regression model, the study adopts the autoregressive distributed lagged to determine the relationships between the nonstationary series.

Empirical findings provide evidence that quantitative measures of investor sentiment have significant effects on S&P’500 performances. The authors find that Trump's tweets should be interpreted with caution. The results also show that the number of Trump's tweets on t−1 day have a positive effect on performance on day t.

Social media sentiment contains information for predicting stock returns and transaction activity. Since, the arrival of new information in capital markets triggers investor sentiment on social media.

This study investigates the investors’ sentiment through social media and explores quantitative and qualitative measures. The amount of information on social media reflects more the investor sentiment than content analysis measures.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0818

Pierre Nelis joined a small group of artists working for a creative entrepreneur who had invented software to produce movies. He brought a great deal of marketing expertise to a team of technology creators, and it was this that ultimately allowed the firm to sell its software to movie industry leaders throughout the world. The firm – Softimage – was bought by Microsoft, which hired Pierre Nelis to oversee the integration process, and later to develop new communications products. Nelis has an outstanding ability to identify the elements needed by a firm to become more effective, and this led him to set up a one-of-a-kind external facilitation programme that went on to become a model for many business growth support organizations throughout the world, but especially in North America and Europe.

The transcript talks about early days of disaster risk reduction from a community based perspective all the way from the 70s.

The transcript and video was developed in the context of a UNDRR project on the History of DRR.

The transcript presents learnings from past experiences using citizenry-based development-oriented disaster management.

Citizenry-based development-oriented disaster management is not yet fully captured in the literature.