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This chapter will provide an analysis of current educational conditions of Black males within our K-12 school system and the ongoing instructional implications for school leaders working to address literacy leadership and practice. It will provide insight and motivation for school leaders as they navigate political, social, and policy systems that surround the current educational climate and instructional expectations. Readers will engage in a reflective, collaborative, and constructive learning process related to how successful school leaders enhance teaching and learning on their school campuses for Black males and what behaviors are critical to supporting teachers and students through the process. Specifically at the elementary level where foundational decoding, fluency, and comprehension skills are developed and cultivated for early learners we must be intentional with all aspects of the learning process and our instructional pedagogy. This chapter will work to expand the body of knowledge surrounding Black males as we commit to deconstructing existing and reconstructing inclusive, equitable, and just learning environments. Implications for research, policy and practice, including recommendations to support ongoing formal and informal professional learning opportunities for educators to openly discuss their understanding of Black males, challenges they face, and strategies that they have found to be successful will be disclosed.

Machine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.

This review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.

The authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.

Several systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.

Engaging with stakeholders in “a personal, intimate way” (Men and Tsai, 2016, p. 932) or “includ[ing] the ‘personal touch’” (Kent and Taylor, 1998, p. 323) is often seen as desirable in internal communication management. While the importance of personal communication is undisputed from the perspectives of internal communication, its communicators, and from internal stakeholders, this is not true when it comes to the dimensions and characteristics that constitute an experience of communication as feeling personal. The present study aims to explore what makes communication personal from the employees' perspective.

The study used the Q methodology and Q method, thus focusing on an individual's subjective perspective. The Q methodology was implemented in the form of a Q-sort survey exploring the perceptions of 32 German employees (selected from a representative cross-section of 400 employees in Germany, using a balanced-block design to maximize heterogeneity).

The results show that while direct and dyadic communication is often perceived as personal, many other dimensions and characteristics are also considered “personal” in both the literature and based on stakeholder perceptions. The Q-sort survey revealed four perception types whose perceptions of communication as “personal” vary widely, with all these types rejecting non-human communicators.

This study contributes to the limited understanding of employees' perceptions of internal communication as “personal.” It shows how the Q methodology and Q method—a rarely used perspective—can complement existing theoretical and empirical research on internal communication. For internal communication management, the findings show that a “one-size-fits-all” approach must be questioned and that a communication team's involvement in personal communication can have negative consequences.

The changing environment of today’s organizations creates an atmosphere ripe for emotions. This ebb and flow of emotions need to be managed to facilitate positive outcomes such as job satisfaction. This paper aims to provide evidence that emotional intelligence directly impacts one’s satisfaction at work. This paper attempts to go beyond these higher-order findings to examine the dimensional aspects of emotional intelligence and the impact each one has on job satisfaction.

Using a quantitative survey conducted among 427 US-based workers, this paper tests a disaggregated emotional intelligence model and its hypothesized relationships with job satisfaction through structural equation modeling (SEM). Additional analysis includes confirmatory factor analysis (CFA) and a two-stage common method variance assessment.

The results confirmed the positive impact of the dimensions of emotional intelligence on job satisfaction. However, with interactive effects in place, the results also found signs of reciprocal suppression and could not confirm that all four emotional intelligence dimensions significantly and positively related to job satisfaction.

These findings are significant in that they are among the first to elaborate on the dimensions of emotional intelligence and their role in the improvement of one’s satisfaction at work. Further, these findings legitimize the use of the theoretical higher-order model of emotional intelligence in lieu of investigating its dimensional aspects.

The study aims to address a critical gap in existing healthcare payment schemes and care service pricing by recognizing the influential role of patients' decisions on self-management efforts. These decisions not only impact health outcomes but also shape the demand for care, subsequently influencing care costs. Despite the significance of this interplay, current payment schemes often overlook these dynamics. The research focuses on investigating the implications of a novel behavior-based payment scheme, designed to align incentives and establish a direct connection between patients' decisions and care costs. The primary objective is to comprehensively understand whether and how this innovative payment scheme structure influences key stakeholders, including patients, care providers, insurers and overall social welfare.

In this paper, we propose a game-theoretical model to incorporate the performance of self-management with the demand for healthcare service, compare the patient's effort decision for self-management and provider's price decision for healthcare service under a behavior-based scheme with that under two implemented widely payment schemes, that is, co-payment scheme and co-insurance scheme.

Our findings confirm that the behavior-based scheme incentives patient self-management more than current schemes while reducing their possibility of seeking healthcare service, which indirectly induces the provider to lower the price of the service. The stakeholders' utility under various payment schemes is sensitive to the cost of treatment and the perceived health utility of patients. Especially, patient health awareness is not always benefited provider profit, as it motivates patient self-management while diminishing the demand for care.

We provide a novel framework for characterizing behavior-based payment schemes. Our results confirm the need for modification of the current payment scheme to incentivize patient self-management.

In this article, the authors, a university elementary social studies methods faculty member and a district social studies supervisor, discuss the creation of sustained professional development (PD) for elementary teachers on integrated social studies instruction.

The authors detail the development of a PD sequence that included two 45-minute whole-group PD sessions and two days of individual and small-group school-day coaching for each school in the district. The ultimate goal of this PD was to provide the classroom teachers with the pedagogical content knowledge to meaningfully integrate social studies and English language arts (ELA) in their classrooms.

The collaboration between the university faculty member and the district administrator allowed for the development of meaningful, sustained PD for the classroom teachers.

This work has implications related to the development of PD to integrate social studies and ELA for university faculty working with teachers in school-based settings and for school administrators seeking to provide more PD for their teachers.

Workplace deviant behaviors (WDBs) have a significant negative impact on firms. Present study explores the role of employees’ perception of firms’ internal corporate social responsibility (internal CSR) in reducing their intention to engage in WDB. Social exchange theory (SET) and job demand-resource (JD-R) model form the conceptual underpinning of the study.

Hypotheses were developed based on a comprehensive literature review and tested on employees working in various public and private sector organizations in India. AMOS and SPSS PROCESS macro were used to test the conceptual model.

Employees’ perception of firms’ internal CSR reduced their intention to engage in WDB. Occupational strain was confirmed as a mediator in the above mentioned relationship. Further, the study also establishes internal CSR as an antecedent to increased perceptions of procedural justice.

Managers may leverage internal CSR communication as a tool to minimize WDB at the workplace. Moreover, it may also be used to reduce occupational strain and strengthen the perceptions of fairness among employees.

Very limited research is available on internal CSR and WDB. Through this study authors contribute to the nascent literature by affirming the negative relationship between internal CSR and WDB using the SET and JD-R model.

As evacuation is one of the most used response actions to such disasters, it is essential to understand correctly what a resilient evacuation would mean. One critical factor in evacuation resilience is the resilience level of evacuation infrastructures. Also, UN sustainable development has a goal to build resilient infrastructures. This study aims to investigate the characteristics of resilient evacuation infrastructures.

A systematic methodology for reviewing articles has been implemented to understand how vulnerable cities can be more prepared, especially for pedestrian evacuation.

This study has developed an evacuation scoring system framework for pedestrians to investigate evacuation infrastructure in terms of different resilience features, such as redundancy, safe-to-fail, readiness and capacity. The most practical evacuation system will be estimated. The output of this study can provide insight into a final output to provide the features of a successful pedestrian evacuation system for future policy drafting for infrastructure strategy decision-makers.

Climate change has made the risks of natural hazards such as tsunamis more intense for humans. Many people in the world live in hazardous environments and are susceptible to disasters. A community must be prepared to mitigate the destructive event and quickly respond to be called resilient.

This is an original work. The researcher has gone through a deep literature review and developed a cluster showing the features a resilient evacuation infrastructure should have.