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Despite long-standing evidence that the use of exclusionary discipline practices is both ineffective and even potentially harmful, these policies continue to be used in educational settings across the country. In this chapter, we discuss the problems associated with exclusionary discipline, with an emphasis on zero tolerance approaches. We begin our discussion with a brief history of the origin of zero tolerance policies, a presentation of data that contradict the effectiveness of such policies, and examples of the continued and egregious application of this exclusionary approach. We discuss problems of disproportionality associated with the use of zero tolerance policies, including how this approach exacerbates learning problems for students with and at risk for disabilities, especially if that risk is related to emotional and behavioral disorders (EBD). We conclude by offering alternatives to a zero tolerance approach in the form of positive and preventative approaches for improving student behavior across various levels of intensity within a tiered system of support framework.

This paper aims to consider the relevance of asset impairments when evaluating stewardship by management.

This paper considers association of earnings (including and excluding asset impairments) with contemporaneous stock returns which are used as a measure of management performance and demonstration of stewardship.

Evidence is provided of earnings including asset impairments (an accounting measure of current measure firm performance) having a higher explanatory power for contemporaneous stock returns (an objective evaluation of current period firm performance) than earnings exclusive of asset impairments. Consistent with this, recognized asset impairments are significantly associated with contemporaneous stock returns. These results occur across firm years generally, as well as for firm years exhibiting indicators of impairment and firm years recognizing asset impairments.

This paper adds to the literature providing evidence of asset impairments not being recognised on a timely basis. Additionally, challenges are identified in evaluating the relevance of accounting information for so-called growth firms.

These findings support continued recognition of asset impairments in the Statement of Profit or Loss if stewardship is accepted as an objective for financial reporting. It also suggests issues with the recognition of asset impairments that might be addressed by enhanced disclosure.

This paper is distinctive in that it considers the relevance of accounting information for evaluating stewardship, as distinct from decision-making. It also considers alternate measure of performance (earnings including and excluding asset impairments) for all firms rather than only those disclosing an alternate measure (i.e. a fair horse race)

Across the USA, local municipalities and providers struggle to reliably supply water and electricity when faced with severe weather events induced by climate change. Previous research suggests those at higher risk for experiencing the detrimental effects of climate change have higher climate-related concerns. Additionally, research demonstrates variation in trust in institutions and perceptions of environmental justice along racial lines, which can influence concern for access to resources. Informed by this research, the authors ask two questions: how do Oklahomans’ trust in institutions, environmental justice perceptions and global climate change risk perceptions differ based on race, and how do these factors influence concern for water and electrical infrastructure? The purpose of this study is to better understand Oklahomans’ trust in information from institutions, environmental justice perceptions, global climate change risk perceptions and concern for water and electrical infrastructure.

This study uses a series of nested regression models to analyze the survey responses of 2,687 Oklahoman adults. The data were pulled from Wave 3 of the Oklahoma Meso-scale Integrated Socio-geographic Network survey, which is part of the National Science Foundation EPSCoR S3OK project.

The findings demonstrate the complex interplay of riskscapes – or risk landscapes – that encompass institutional trust, perceptions of environmental justice, climate change and infrastructure in Oklahoma. The authors find evidence that education and income are better predictors of institutional trust and environmental justice than race among our respondents. Political ideology emerges as a significant predictor across all hypotheses.

This study contributes to the understanding of complex dynamics involving race, perceptions of environmental justice, trust in information from institutions, risk perceptions of climate change and concerns for water and electrical infrastructure in Oklahoma.

I examine patterns of making or deferring strategic repatriations that firms can use to either meet analysts' forecasts or defer to maintain future reported earnings flexibility. First, I examine the extent to which firms repatriate earnings from high foreign tax subsidiaries to decrease US tax expense, resulting in increased net income and lower cash taxes. Using federal tax return information, I find evidence that firms strategically repatriate these earnings to meet or beat current analysts' forecasts. Next, I find evidence that firms that are able to obtain current year tax reductions defer these repatriations in an attempt to build cookie-jar reserves. Lastly, I find that firms do not disclose high foreign tax repatriations (HTRs), even when required by SEC rules. This study contributes to the earnings management, tax avoidance, and disclosure literature by examining a discretionary tax planning strategy.

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

A recent study reported Black women are frequently labeled unprofessional due to hair presentation, 1.5 times more likely to be sent home citing “unprofessional hair,” and 80% likely to alter their natural hair texture (Dove, 2019) through chemicals or heat to fit into organizational norms. Meanwhile, conversations about hair discrimination and bias remain whispers in The Ivory Tower. Despite this study, contemporary research regarding higher education and the politics of Black women, Black hair, and hair texture is sparse. The lack of representation in higher education organizations and lack of literature suggest that Black, higher education professional women are at risk of experiencing chilly work environments that could impact belonging, career trajectory, and earning potential. Some individuals outside the African Diaspora may consider the notion of a physical characteristic, like hair, to be insignificant, let alone a salient identity for Black women. However, my experience as a higher education practitioner and scholar states differently. I assert higher education institutions continue to perpetuate and reproduce oppressive dynamics that specifically target Black women and Black hair when hair discrimination and bias are left out of the conversation to address diversity and inclusion concerns. This chapter introduces a historical context of Black hair discrimination; explores my lived experiences navigating Black hair, hair texture, and professionalism in higher education; outlines challenges for higher education institutions and prioritizes Black women alongside diversity and inclusion efforts.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

The increased utilization of artificial intelligence-enabled applications (AI-ETs) across the customer journey has transformed customer experience (CX), introducing entirely new forms of the concept. This paper aims to explore existing academic research on the AI-enabled customer experience (AICX), identifying gaps in literature and opportunities for future research in this domain.

A systematic literature review (SLR) was conducted in March 2022. Using 16 different keyword combinations, literature search was carried across five databases, where 98 articles were included and analysed. Descriptive analysis that made use of the Theory, Characteristics, Context, Methods (TCCM) framework was followed by content analysis.

This study provides an overview of available literature on the AICX, develops a typology for classifying the identified AI-ETs, identifies gaps in literature and puts forward opportunities for future research under five key emerging themes: definition and dynamics; implementation; outcomes and measurement; consumer perspectives; and contextual lenses.

This study establishes a fresh perspective on the interplay between AI and CX, introducing the AICX as a novel form of the experience construct. It also presents the AI-ETs as an integrated and holistic unit capturing the full range of AI technologies. Remarkably, it represents a pioneering review exclusively concentrating on the customer-facing dimension of AI applications.

随着人工智能应用程序 (AI-ET)在旅途中的使用不断增加, 消费者体验 (CX)得以转变, 引入了全新的概念形式。 本文旨在探索有关人工智能客户体验（AICX）的现有学术研究, 从中找出文献中的空白以及该领域未来研究的机会。

本系统性文献综述（SLR）于2022 年 3 月开工。基于16 个不同的关键词组合, 本综述统共收录并分析了来自 5 个数据库98 篇文献, 采用理论-特征-背景-方法 (TCCM) 框架先后进行描述性分析和内容分析。

该研究概述了 AICX 的现有文献, 开发了对已识别的 AI-ET 进行分类的类型学, 确定了现有文献中的空白, 并在 5 个关键新兴主题下提出了未来研究的机会：1. 定义和动态, 2 . 实施, 3. 结果和衡量, 4. 消费者视角, 5. 情境视角。

本研究建立了全新的视角看待 AI 和 CX 之间的相互作用, 引入了 AICX 这种新颖的体验构造形式, 还将 AI-ET 展示为一个集成了全方位人工智能技术的整体单元。 值得一提的是, 本文代表了一项专门关注人工智能应用面向客户维度的开创性综述。

La creciente utilización de aplicaciones habilitadas por inteligencia artificial (AI-ET) a lo largo del recorrido del cliente han transformado la experiencia del cliente (CX), introduciendo formas totalmente nuevas del concepto. Este artículo pretende explorar la investigación académica existente sobre la experiencia del cliente a través de la IA (AICX), identificando las lagunas en la literatura y las oportunidades para futuras investigaciones en este ámbito.

En marzo de 2022 se llevó a cabo una revisión bibliográfica sistemática (SLR). Utilizando 16 combinaciones diferentes de palabras clave, se realizó una búsqueda bibliográfica en 5 bases de datos en las que se incluyeron y analizaron 98 artículos. El análisis descriptivo que hizo uso del marco Teoría, Características, Contexto, Métodos (TCCM) fue seguido del análisis de contenido.

El estudio ofrece una visión general de la bibliografía disponible sobre la AICX, desarrolla una tipología para clasificar las AICX detectadas, identifica lagunas en la literatura y plantea oportunidades para futuras investigaciones bajo cinco temas emergentes claves: 1. Definición y dinámica, 2. Implementación, 3. Resultados y medición, 4. Perspectivas del consumidor, 5. Lentes contextuales.

El estudio establece una nueva perspectiva sobre la interacción entre la IA y la CX, introduciendo la AICX como una forma novedosa del constructo experiencia. También presenta las AICX como una unidad integrada y holística que capta toda la gama de tecnologías de la IA. Notablemente, representa una revisión pionera que se concentra exclusivamente en la dimensión orientada al cliente de las aplicaciones de la IA.