Search results

A Legacy Community is a living and learning community supported by broader institutional departments (e.g., student affairs, academic affairs, foundation, and alumni affairs) that dedicate resources, opportunities, and supports intended to: (a) undo legacies of educational disparities that Black/African American males have historically witnessed and (b) build capacity for students engaged in these communities (i.e., Black/African American males) to create and leave positive legacies on their terms. In this qualitative study of Black and African American undergraduate male living and learning community (LLC) participants at a primarily white institution (Legacy House), we investigate the LLC program elements that impact participants' educational and social experiences, and foster pathways for student legacy building. Legacy house participants describe brotherhood, sense of belonging, and leaving a legacy as elements that enable positive student academic and social outcomes, campus involvement, and career readiness.

School counselors are committed to serving students' social-emotional, postsecondary, and academic needs while they navigate primary and secondary school (American School Counselor Association, 2019). Much has been said about the ways in which school counselors can impact postsecondary outcomes and social emotional health. It is important that we also address the ways school counselors can impact positive academic outcomes as it is intertwined in postsecondary options and success. For Black males, academic success has traditionally been met with systemic barriers (i.e., school-to-prison pipeline, lower graduation rates, lower incomes, higher unemployment rates, and lower college going rates (National Center for Edcuation Statisitics, 2019a, 2019b, 2020a, 2020b) and low expectations. School counselors are charged to be leaders and change agents for social justice and equity in our schools by the American School Counselor Association (ASCA, 2019) and can impact systemic change. This chapter will explore ways in which school counselors can impact positive academic outcomes for Black males. School counselors as change agents and advocates are positioned to make a real impact for Black male academic success. The authors will also provide some recommendations and best practices for elementary, middle, and high school counselors as they work with students, teachers, and families from an anti-deficit model as outlined by Harper (2012).

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.

Penal institutions affect their inmates’ mental as well as physical health. Prisoners have higher rates of physical health conditions than the public. While it is known that psychosocial factors determine patients’ quality of life, little research has focused on factors related to prisoners’ psychophysical quality of life (PQoL). The purpose of this study is to analyze the determinants of prisoners’ PQoL.

The sample consisted of 390 prisoners recruited from correctional facilities administered by the Warsaw District Inspectorate of Prisons. This study hypothesized that social support, coherence and self-efficacy would be positive determinants of PQoL and that depression, anxiety and anger would be its negative determinants. The collected data were analyzed by means of structural equation modeling.

The positive determinants of PQoL in prisoners are coherence, self-efficacy and social support. The negative determinant of PQoL is trait depression.

This study has revealed a list of factors significant for improving prisoners’ PQoL. Factors have also indicated which of the predictors measured are the most significant. The identified set of significant factors should be taken into account in social rehabilitation programs for prisoners as contributing to the preservation of life and health.

Flood resilience is a critical concept in flood risk management (FRM). Meanwhile, flood resilience measurement has become vital for making the business case for investment in FRM. However, information is sparse on measuring the level of resilience of flood-prone communities in Nigeria. Therefore, this study aims to develop a fuzzy logic-based model for measuring the resilience of flood-prone communities towards achieving the United Nations Sustainable Development Goals (SDGs) 11 and 13.

This study describes the development of a fuzzy logic-based flood resilience measuring model, drawing on a synthesis of fuzzy logic literature and extant flood resilience. A generalisation of the flood system for a typical Nigerian community was made. It was followed by an identification and characterisation of the variables and parameters of the system based on SDGs 11 and 13. The generated data was transformed into a fuzzy inference system (FIS) using three input community flood resilience dimensions: natural, socio-technical and socio-economic factors (SEF). The model was then validated with primary data obtained from selected flood-prone communities in Ibadan, Southwest Nigeria. Expert opinions were used in rating the input dimensions for the selected communities.

In spite of various inputs from experts in the same study area (Apete, Ibadan, Nigeria), the resulting FIS generated consistent resilience indices for various natural, socio-technical and SEF. This approach can strengthen flood resilience measurement at the community level.

Although previous attempts have been made to measure flood resilience at the individual property level (Oladokun et al., 2017; Adebimpe et al., 2020), this research focuses on measuring flood resilience at the community level by adapting the fuzzy logic approach. The fuzzy logic-based model can be a tool for flood resilience measurement at the community level. It can also be developed further for regional and national level applications.

This paper aims to review the literature on the use of the notion of performativity and its related concepts in accounting research. The literature uses the term performativity in almost diametrically different ways, yet most papers assume that the meaning of the term is self-evident. We build on recent reviews of the notion of performativity and explicate the implicit tensions in the accounting literature, discovering a need to clarify how the accounting literature has explored the processes – how accounting becomes performative – and effects – what is performed – of accounting performativity. The paper develops suggestions for future theoretical and empirical research.

The authors have searched in six leading accounting journals (Accounting, Organizations and Society, Accounting, Auditing and Accountability Journal, Management Accounting Research, Critical Perspectives on Accounting and Qualitative Research in Accounting and Management) for the terms “performativity” and/or “performative” and/or “performable”. This yielded 289 results from which we distilled a core sample of 92 papers which substantially draw on the concept and explicate their use of the term.

The authors find that the accounting literature has paid almost equal attention to the conforming and amplifying effects of performativity but has mostly explored how conditions of performativity are built. Less attention has been paid to how accounting generates multiple worlds and how differences in these worlds are coordinated by accounting. Building institutions and searching for accounting incompleteness have been developed as the two main processes where accounting is made performative.

The paper develops avenues for future research, highlighting the potential for a deeper understanding of how the notion of performativity can be used. We do not advocate homogenizing the literature, instead exploring its fruitful tensions to discover a renewed interest in how accounting is constitutive of existing and/or new worlds. We illustrate this potential by reflecting on the debates about accounting incompleteness and the boundaries of accounting. The authors also suggest the potentials for concepts of performativity in studying emerging phenomena such as big data and sustainability and revisiting the ethics of using accounting as a social and organizational practice.

The literature review explicates differences in the use of the term performativity, which usually remain implicit in the literature. The study develops a framework that attends to both the processes – problematizing the conditions for performativity or not – and effects – conforming and amplifying – of performativity accounting studies have drawn upon, which clarifies how the accounting literature has mobilized the notion of performativity and the contributions the accounting literature has added. Further, the authors extend Vosselman’s (2022) review both in scope and nuance.

This paper aims to study the origin story of Harvard Business School’s involvement with the Indian Institute of Management Ahmedabad to study the reasons for the spread of American management education. It introduces both the explicit influence of Cold War politics and Indian development imaginaries to the export of American management thought in the early 1960s.

This paper relies on archival research for its primary source material, drawing upon rich archives of documents found at the Baker Library of Harvard Business School.

Harvard’s role in Ahmedabad was explicitly influenced by the Cold War anti-communist foreign policy of the USA, but did so opportunistically and contrary to the Ford Foundation’s (FF) original plans. Vikram Sarabhai, who was a key player in the Indian national imaginary of development, invited Harvard on his own initiative and forced the foundation to follow his interests rather than being a mere “subaltern.”

This paper could additionally add to the historical debate about the scope and periodization of the Cold War and the role of non-state actors.

This paper covers new ground in exploring the early connection between the Indian development imaginary and business education. It concludes that the export of hegemonic US management education was not successful during Cold War, and the FF was not as dominant as it was made out to be.

Bicycle sharing offers a novel way to create smart and sustainable mobility solutions for the future. The purpose of this study is to draw on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) framework for identifying the factors necessary to predict bike-sharing intention among users in India.

Data were collected through a questionnaire distributed across four major cities in India, and 515 responses were analyzed. A sequential approach was employed to analyze the data using Partial Least Square–Structural Equation Modeling (PLS-SEM) and Fuzzy-set Qualitative Comparative Analysis (fsQCA).

The findings from PLS analysis revealed that performance expectancy, effort expectancy, facilitating conditions, hedonic motivation and price value are the salient variables that affect users' intentions to participate in bike sharing. In addition, based on fsQCA, six configurations of causal conditions are presented as intermediate solutions that produce the same results. Although antecedent conditions, such as habit and social influence, had an insignificant effect on individuals' BSI, they create conditions sufficient to encourage users' participation in bike sharing in combination with other variables.

A few limitations of this research and the implications of the findings in terms of theory and policy implications are also discussed.

The reported study is one of the earliest to explain bike-sharing adoption in India using the UTAUT 2 model.

The case is designed to be used with the digital business model framework developed by Peter Weill and Stephanie Woerner of Massachusetts Institute of Technology (MIT) (Weill and Woerner, 2015) and is referred to as the W & W framework. This approach provides a useful structure for thinking through the strategic options facing environments ripe for digital transformation.

Research for this case was conducted through face-to-face interviews with the protagonist, as well as through a review of their business planning documents and other data and documentation provided by the founder. Some of the market and industry data were obtained using secondary research and industry reports. Interviews were digitally recorded and transcribed to ensure accuracy.

The case follows the story of Kurt Waltenbaugh, a Minnesota entrepreneur who shared the dream of using data analytics to reduce costs within the US health-care system. In early 2014, Waltenbaugh and a physician colleague founded Carrot Health to bring together their personal experience and expertise in both consumer data analytics and health care. From the beginning, they focused on how to use data analytics to help identify high-risk/high-cost patients who had not yet sought medical treatment. They believed that they could use these insights to encourage early medical interventions and, as a result, lower the long-term cost of care.

Carrot’s initial success found them in a consultative role, working on behalf of insurance companies. Through this work, they honed their capabilities by helping their clients combine existing claims data with external consumer behavioral data to identify new potential customers. These initial consulting contracts gave Carrot the opportunity to develop its analytic tools, business model and, importantly, to earn some much-needed cash flow during the start-up phase. However, they also learned that, while insurance companies were willing to purchase data insights for one-off market expansion projects, it was much more difficult to motivate them to use data proactively to eliminate costs on an ongoing basis. Waltenbaugh believed that Carrot’s greatest potential lay in their ability to develop predictive models of health outcomes, and this case explores Carrot’s journey through strategic decisions and company transformation.

This case is intended for either an undergraduate or graduate course on entrepreneurial strategy. It provides an effective introduction to the unique structure and constraints which apply to an innovative start-up within the health-care industry. The case also serves as a platform to explore the critical criteria to be considered when developing a digital transformation strategy and exposing students to the digital business model developed by Weill and Woerner (2015) at MIT (referred to in this instructor’s manual as the W&W framework). The case was written to be used in an advanced strategy Master of Business Administration (MBA) class, an undergraduate specialty health-care course or as part of a health-care concentration in a regular MBA, Master of Health Care Administration (MHA) or Master of Public Health (MPH). It may be taught toward the end of a course on business strategy when students are building on generic strategy frameworks and adapting their strategic thinking to the characteristics of specific industries or sectors. However, the case can also be taught as part of a course on health-care innovation in which case it also serves well as an introduction to the health-care payments and insurance system in the USA. Finally, the case can be used in a specialized course on digital transformation strategy in which case it serves as an introduction to the MIT W&W framework.

The case is particularly well-suited to students who are familiar with traditional frameworks for business strategy and business models. The analysis builds on this knowledge and introduces students interested in learning about the opportunities and challenges of digital strategy. Equally, the case works well for students with clinical backgrounds, who are interested in how business strategy can influence changes within the health-care sphere. Finally, an important aspect of the case design was to develop students’ analytical confidence by encouraging them to “get their hands dirty” and to carry out some basic exploratory data analytics themselves. As such, the case requires students to combine and correlate data and to experience the potentially powerful combination of clinical and consumer data. Instructors should find that the insights from these activities give students unique insights into the potential for of data analytics to move health care from a reactive/treatment ethos to a proactive/intervention ethos. This experience can be particularly revealing for students with clinical backgrounds who may initially be resistant to the use of clinical data by commercial organizations.