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1 – 10 of 49The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based…
Abstract
Purpose
The purpose of this conceptual article is to examine the role of villainification and heroification in social studies through critically analyzing the author’s place-based encounters with three civil war narratives.
Design/methodology/approach
The article describes the author’s critical reflections on three narratives involving confederate figures and examines theoretical and pedagogical implications.
Findings
The article introduces a spectrum of ethical judgments which plots villainification and heroification on opposing ends. The author advocates for more nuanced ethical judgments that contextualize decisions as understandable or defensible based on evidence. The term understandable reflects a concept of being able to explain (i.e. demonstrate understanding) why a curricular figure made certain choices without agreeing with or supporting those choices. The term defensible denotes the existence of evidence that provides a rationale for a choice such that the person making the ethical judgment would feel comfortable making (i.e. defending) the same choice.
Originality/value
The article introduces a theory of nuanced ethical judgments in social studies that maps onto existing literature on heroification, villainification and place-based education. Pedagogical implications for social studies education are also identified.
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Casey Floyd and Gregory B. Fairchild
This case is used in Darden's required first-year course, “Strategic Thinking and Action.”In 2015, Steve and Heidi Crandall, the founders of Devils Backbone Brewing, LLC (DBB)…
Abstract
This case is used in Darden's required first-year course, “Strategic Thinking and Action.”
In 2015, Steve and Heidi Crandall, the founders of Devils Backbone Brewing, LLC (DBB), were looking back on eight years of unanticipated success and significant growth. DBB had created a destination, a brand, and beer that drew people from all over, and it was the largest craft brewery in its region. The entire community, not just loyal beer drinkers, had supported DBB. In addition to funding and zoning accommodations, so many local residents had built their own economic lives around what had been their “little brewery that could.”
But the success had brought challenges, specifically in terms of growth. DBB was consistently not meeting demand in its existing markets and was receiving complaints about out-of-stocks. The Crandalls and their team had to figure out how to grow with, or preferably ahead of, demand for DBB's product. Should DBB build further capacity despite an already exhausted line of credit? Should it employ a contract brewer despite the local authenticity concerns such a move might stir up? Or should it just keep trying to manage business within its existing footprint, comfortably serving its loyal customer base?
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Cynthia Lum, Christopher S. Koper, Michael Goodier, William Johnson and James Krause
We present the results of one of the only in-depth studies of a police agency’s internal and external response to the coronavirus pandemic of 2020 (COVID-19). This study…
Abstract
Purpose
We present the results of one of the only in-depth studies of a police agency’s internal and external response to the coronavirus pandemic of 2020 (COVID-19). This study emphasizes the importance of law enforcement agencies conducting comprehensive case studies and after-action assessments to prepare, prevent and respond to prolonged public health crises and showcases the profound (and lingering) effects of COVID-19 on police organizations.
Design/methodology/approach
This multi-method case study combines document analysis, a workforce survey, a community survey, interviews and analysis of administrative data to detail and assess the agency’s internal and operational responses to the pandemic and the reactions of employees and community members to those responses.
Findings
Despite agency strategies to mitigate the pandemic’s effects, employees cited very high stress levels one year after the pandemic and a third of sworn officers considered leaving the policing profession altogether during the first two years of the COVID-19 pandemic. Several policies intended by the agency to protect employee health and maintain staffing needs kept workforce levels steady but may have increased feelings of organizational injustice in both sworn and non-sworn individuals, with variation across racial and gender groups. A jurisdiction-wide community survey indicated general support for the police department’s responses but a preference for in-person rather than telephone-based responses to service calls. Officers, however, preferred continuing remote responses even after the pandemic subsided.
Originality/value
To the best of our knowledge, this is one of the only in-depth case studies that examine a police agency’s internal and external responses to COVID-19 and the sworn, non-sworn and community reactions to those responses.
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Jan Svanberg, Tohid Ardeshiri, Isak Samsten, Peter Öhman, Presha E. Neidermeyer, Tarek Rana, Frank Maisano and Mats Danielson
The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted…
Abstract
Purpose
The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.
Design/methodology/approach
This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.
Findings
The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.
Practical implications
This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.
Social implications
The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.
Originality/value
To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.
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William Pelfrey and Steven Keener
This research study evaluates an innovative community-oriented policing program, designed to enhance officer accountability, thereby informing the scholarly community and agency…
Abstract
Purpose
This research study evaluates an innovative community-oriented policing program, designed to enhance officer accountability, thereby informing the scholarly community and agency decision-makers.
Design/methodology/approach
A multi-method approach was employed, leveraging pre- and post-implementation data collection phases. Data were collected via surveys of officers and focus groups with officers, as well as interviews with agency decision-makers.
Findings
While officers were originally resistant to the STOP Card program, postimplementation perceptions, evinced through both survey and focus group data, were supportive. Agency administrators were consistently supportive of the initiative.
Originality/value
This is a novel program, implemented by a university police agency set in an urban area. The utility of this and similar efforts may influence agency initiatives.
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Charitha Sasika Hettiarachchi, Nanfei Sun, Trang Minh Quynh Le and Naveed Saleem
The COVID-19 pandemic has posed many challenges in almost all sectors around the globe. Because of the pandemic, government entities responsible for managing health-care resources…
Abstract
Purpose
The COVID-19 pandemic has posed many challenges in almost all sectors around the globe. Because of the pandemic, government entities responsible for managing health-care resources face challenges in managing and distributing their limited and valuable health resources. In addition, severe outbreaks may occur in a small or large geographical area. Therefore, county-level preparation is crucial for officials and organizations who manage such disease outbreaks. However, most COVID-19-related research projects have focused on either state- or country-level. Only a few studies have considered county-level preparations, such as identifying high-risk counties of a particular state to fight against the COVID-19 pandemic. Therefore, the purpose of this research is to prioritize counties in a state based on their COVID-19-related risks to manage the COVID outbreak effectively.
Design/methodology/approach
In this research, the authors use a systematic hybrid approach that uses a clustering technique to group counties that share similar COVID conditions and use a multi-criteria decision-making approach – the analytic hierarchy process – to rank clusters with respect to the severity of the pandemic. The clustering was performed using two methods, k-means and fuzzy c-means, but only one of them was used at a time during the experiment.
Findings
The results of this study indicate that the proposed approach can effectively identify and rank the most vulnerable counties in a particular state. Hence, state health resources managing entities can identify counties in desperate need of more attention before they allocate their resources and better prepare those counties before another surge.
Originality/value
To the best of the authors’ knowledge, this study is the first to use both an unsupervised learning approach and the analytic hierarchy process to identify and rank state counties in accordance with the severity of COVID-19.
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Marissa Katerina Mackiewicz, Patricia Slattum and Leland Waters
This paper aims to describe the development, implementation and evolution of a multi-media educational tool to improve health profession students’ knowledge and awareness of…
Abstract
Purpose
This paper aims to describe the development, implementation and evolution of a multi-media educational tool to improve health profession students’ knowledge and awareness of stigma and ageism on the treatment of older adults with substance use disorder (SUD). In addition, this paper outlines the relationship between mental health and SUD and the impact of health provider stigmatization of older adults with behavioral health needs and the relationship between SUD and mental illness.
Design/methodology/approach
A literature review was conducted and initial project outlines was developed. Ten interviews were completed with content experts. The draft video was reviewed and minor revisions were incorporated. The facilitator guide accompanying the video was developed. A draft of the facilitator guide was shared with several interprofessional university faculty and the older adults with SUD. The video was presented to groups of health professions students, and following each video viewing, discussion content was used to provide additional edits.
Findings
The educational resources created for this project are appropriate for health professions curriculums related to older adults. Interprofessional health professions students are developing a basic foundation of knowledge on SUD through their standard coursework. More compassionate vocabulary is slowly being incorporated into health provider. Knowledge related to treatments and resources to treat SUD is lacking. In addition, health professions students need more education focused on assessment and interventions for individuals suspected of problematic substance use.
Originality/value
This paper fulfills an identified need to facilitate discussion and education around SUD for health professions students.
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