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We examine how the degree of regional financial integration in African stock markets has evolved over the last eleven years. Despite increasing regional economic cooperation, the process of stock market integration has been slow. To facilitate growth via developed financial markets but keep financial stability risk at a minimum, further regional integration should be promoted, and mild capital controls on non-African investors may be necessary. A Diebold-Yilmaz spillover analysis is applied to ten African stock markets for the period between August 2004 and January 2015. We examine spillovers among four regions and among individual countries. Regional integration, as measured by total spillovers in Africa, is increasing but remains very low. These spillovers were temporarily heightened during the global financial crisis. Cross-regional spillovers are high between Northern and Southern Africa. Asymmetric capital controls on African and non-African investors must be considered to foster further regional integration and to mitigate financial stability risk. This is one of the few studies to address the construction of the future architecture of regionally integrated stock markets in emerging countries.

In Virginia, former Gov. L. Douglas Wilder accused the state’s library agency of racism for “its slow pace in processing and publicly presenting records from his tenure as the nation’s first elected Black governor” (Associated Press, 2020). The State Librarian responded that this was just a lapse in protocols and framed it as a budget issue and staff turnover. However, “Library of Virginia has been processing papers from his gubernatorial successors before finishing work on his” (Associated Press, 2020). Recently, the Alabama State Department of Archives and History acknowledged their participation in systemic racism, epistemicide, and their history of privileging White voices over those of Alabama African-Americans.

Epistemicide is the killing, silencing, annihilation, or devaluing of a way of knowing (Patin, Sebastian, Yeon, & Bertolini, 2020). Conceptualization and analytic application of epistemicide has an established tradition in a number of social science fields, but information scientists have only recently acknowledged epistemicide (Oliphant, 2021; Patin et al., 2020; Patin, Sebastian, Yeon, Bertolini, & Grimm, 2021). Building from our recent identification of the existence of epistemicide within the IS field (Patin et al., 2020), this work challenges the information field to become an epistemologically just space working to correct the systemic silencing of certain ways of knowing.

This chapter examines the four types of epistemic injustices—testimonial, hermeneutical, participatory, and curricular—occurring within libraries and archives and argues for a path forward to address these injustices within our programs, services, and curricula. It looks to digital humanities and to reevaluations of professional standards and LIS education to stop epistemicide and its harms. This chapter demonstrates how to affirm the power and experience of Black lives and highlight their experiences through the careful acquisition, collection, documentation, and publishing of relevant historical materials. Addressing epistemicide is critical for information professionals because we task ourselves with handling knowledge from every field. There has to be a reckoning before the paradigm can truly shift; if there is no acknowledgment of injustice, there is no room for justice.

Purpose: To describe how an approach to instruction that intentionally considers elements of motivation and engagement, intensity of instruction, and cognitive challenge can accelerate the reading achievement of lower-performing readers by giving them access to and support to meet reading and knowledge building with success.

Design: The authors discuss a set of high-leverage practices squarely under the teacher’s control. Grounded in longstanding and rigorous research, the integrated set of practices have been shown time and time again to accelerate achievement beyond typical growth while also intentionally considering the experiences, cultures, and linguistic knowledge students bring to the classroom. The re-conceptualized approach forefronts student agency and engages students in meaningful interactions with text to build knowledge of the world they live in.

Findings: The authors illustrate the comprehensive approach through a composite vignette drawn from work with teachers and students in school and clinical contexts. The focus of the vignette is on the actions of the classroom teacher who is working to meet the needs of three struggling readers within the broader context of her 5th-grade classroom, while also establishing a coherent instructional approach with fellow teachers.

Practical Implications: By re-conceptualizing their approaches to working with struggling readers, teachers increase the likelihood that students will not only develop component skills related to reading but also integrate these components and develop the conceptual expertise that anchors future reading and learning.

Introduction: Many organisations nowadays use artificial intelligence (AI) in human resource (HR) activities like talent acquisition, onboarding of new employees, learning and development, succession planning, retention of employees, and automation of administrative tasks. When AI is integrated with HR practices, it helps HR personnel to focus more on the strategic aspects of the HR function and relieve them from routine HR activities.

Purpose: The readiness of employees to accept any change depends on organisational facilitation to change, employee willingness to accept the change, the requirement for change, situational factors, etc. This research studies the factors influencing employees’ change readiness towards acceptance of AI in HR practices. The researchers also strive to develop a conceptual technology adoption model for AI in HR practices by studying the earlier models. Finally, the research explores the acceptance of AI by various service sector employees and identifies whether there is any difference in their acceptance of AI based on demographic variables.

Methodology: A conceptual framework was derived using a combination of previous models, including the Technology Readiness Index (TRI), Change Readiness Scale, Technology Acceptance Model (TAM), Technology, Organization, and Environment (TOE) model, and change readiness scale. A structured questionnaire was designed and distributed to 228 respondents from the service sector based on the conceptual framework. An exploratory factor analysis (EFA) was used to determine the elements that influence employees’ level of change readiness.

Findings: The exploratory results on data collected from 228 respondents show that the model can be used for further research if a confirmatory factor analysis and validity and reliability test are performed. Employees are aware of AI and how it is used in HR practices, based on the study results. Moreover, while most respondents favour using AI in their company’s HR practices, they are wary of some aspects of AI.