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Article
Publication date: 13 March 2019

Kim Liddiard, Sara Louise Morgan, Charlotte Hill and Andrew Simmonds

The purpose of this paper is to explore whether the current forensic mental health inpatient population within a medium secure unit is more or less complex (i.e. clinical and risk…

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Abstract

Purpose

The purpose of this paper is to explore whether the current forensic mental health inpatient population within a medium secure unit is more or less complex (i.e. clinical and risk presentations) than former years using the Health of the Nation Outcome Scale (HoNOS) secure. Additionally, the use of the HoNOS secure as a service-wide measure is discussed in terms of its usefulness. Clinical implications and recommendations are offered for the continued use of the HoNOS secure in services more widely.

Design/methodology/approach

A retrospective case review of completed HoNOS secure assessments for 130 patients over three time intervals 2012, 2015 and 2018 was used. A multivariate analysis was performed on the data using SPSS version 25.

Findings

The findings revealed that contrary to clinical opinion, inpatients’ clinical and risk presentations had not changed significantly overtime.

Research limitations/implications

The study shows the benefits of using the HoNOS secure at a service-wide level to explore and understand similarities and differences in inpatient admissions over time. It also highlights the usefulness of the HoNOS secure for considering different ward characteristics and the needs of patients residing in these environments.

Originality/value

Although much research exists surrounding the individual use of the HoNOS secure in relation to outcomes, there is limited research focusing on use of the HoNOS secure at the service level. The paper therefore provides evidence of the utility and value of the HoNOS secure as a service-level outcome measure.

Details

Journal of Forensic Practice, vol. 21 no. 1
Type: Research Article
ISSN: 2050-8794

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Book part
Publication date: 27 September 2021

Jonathan Freeze

For many decades, destination marketing organizations have evolved in their structure and in their programming, especially as targeted toward leisure travel and tourism markets…

Abstract

For many decades, destination marketing organizations have evolved in their structure and in their programming, especially as targeted toward leisure travel and tourism markets. They changed their focus to internet communication, then to brand strategy and destination management, and most recently to address disruptions from the tourism online gig economy consisting of myriad microentrepreneurs, some sharing local experiences directly with tourists. This chapter relates how Raleigh, USA, and its tourism office have begun to embrace tourism microentrepreneurship through strategic planning efforts and specific programs of the last five years. It concludes with implications for how small and medium destinations can structure new programs, policies, and interactions to support marketplaces of tourism microentrepreneurs as part of holistic tourism-related economic development.

Details

Tourism Microentrepreneurship
Type: Book
ISBN: 978-1-83867-463-2

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Book part
Publication date: 15 April 2020

Timothy Dombrowski, R. Kelley Pace and Rajesh P. Narayanan

Portfolios of mortgage loans played an important role in the Great Recession and continue to compose a material part of bank assets. This chapter investigates how cross-sectional…

Abstract

Portfolios of mortgage loans played an important role in the Great Recession and continue to compose a material part of bank assets. This chapter investigates how cross-sectional dependence in the underlying properties flows through to the loan returns, and thus, the risk of the portfolio. At one extreme, a portfolio of foreclosed mortgage loans becomes a portfolio of real estate whose returns exhibit substantial cross-sectional and spatial dependence. Near the other extreme, almost all loans perform and yield constant returns, which do not correlate with other performing loan returns. This suggests that loan performance effectively censors the random returns of the underlying properties. Following the statistical properties of the correlations among censored variables, the authors build off this foundation and show how the loan return correlations will rise as economic conditions deteriorate and the defaulting loans reveal the underlying housing correlations. In this chapter, the authors (1) adapt tools from spatial statistics to document substantial cross-sectional dependence across house price returns and examine the spatial structure of this dependence, (2) investigate the nonlinear nature of correlations among loan returns as a function of the default rate and the underlying house price correlations, and (3) conduct a simulation exercise using parameters from the empirical data to show the implications for holding a portfolio of mortgages.

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Article
Publication date: 10 September 2018

Russell D. Kashian, Ran Tao and Robert Drago

The purpose of this paper is to identify bank deserts in the USA in 2009 and 2015, separately for inner city, suburban, and rural areas. It also identifies correlations between…

416

Abstract

Purpose

The purpose of this paper is to identify bank deserts in the USA in 2009 and 2015, separately for inner city, suburban, and rural areas. It also identifies correlations between bank deserts, population characteristics, market competition, and payday lending restrictions, both cross-sectionally and over time.

Design/methodology/approach

FDIC data on bank office locations are used to identify bank deserts, defined as the 5 percent of census tracts with the greatest distance from the centroid to the nearest office. Those data are matched to both American Community Survey data to identify population characteristics, to a list of states with payday lending prohibitions, and to levels of market competition. An alternative measure of bank deserts corrects for population density. Geography is analyzed, mean characteristics compared, and random effects regressions capture static and dynamic correlates.

Findings

Population density explains approximately half of bank distance variance. Bank deserts appear more often in southern and western states, and expanded significantly in inner cities while contracting in rural areas. Regression results suggest that African Americans were overall and increasingly likely to live in bank deserts and Native Americans were overall more likely to live in rural bank deserts. Rural poverty is linked to bank deserts, and the effects of competition are complex.

Practical implications

The space for policy intervention exists in African American inner cities and Native American rural communities.

Originality/value

The relative measure of bank deserts is novel, as are dynamic estimates and random effects analysis of correlates.

Details

Journal of Economic Studies, vol. 45 no. 4
Type: Research Article
ISSN: 0144-3585

Keywords

Available. Open Access. Open Access
Article
Publication date: 24 May 2024

Rangan Gupta and Damien Moodley

Recent evidence from a linear econometric framework infers that housing search activity, captured from Google Trends data, can predict housing returns for the USA at a national…

290

Abstract

Purpose

Recent evidence from a linear econometric framework infers that housing search activity, captured from Google Trends data, can predict housing returns for the USA at a national and regional (metropolitan statistical area [MSA]) level. Based on search theory, the authors, however, postulate that search activity can also predict housing returns volatility. This study aims to explore the possibility of using online search activity to predict both housing returns and volatility.

Design/methodology/approach

Using a k-th order non-parametric causality-in-quantiles test allows us to test for predictability in a robust manner over the entire conditional distribution of both housing price returns and its volatility (i.e. squared returns) by controlling for nonlinearity and structural breaks that exist in the data.

Findings

The analysis over the monthly period of 2004:01 to 2021:01 produces results indicating that while housing search activity continues to predict aggregate US house price returns, barring the extreme ends of the conditional distribution, volatility is relatively strongly predicted over the entire quantile range considered. The results carry over to an alternative (the generalized autoregressive conditional heteroskedasticity-based) metric of volatility, higher (weekly)-frequency data (over January 2018–March 2021) and to over 84% of the 77 MSAs considered.

Originality/value

To the best of the authors’ knowledge, this is the first study regarding predictability of overall and regional US housing price returns and volatility using search activity, based on a non-parametric higher-order causality-in-quantiles framework, which is insightful to investors, policymakers and academics.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 15 August 2016

Charles D. Bodkin, Cara Peters and Jane Thomas

Company stores market to their internal employees via the distribution of branded promotional products. The purpose of this study is to investigate factors that may influence when…

1388

Abstract

Purpose

Company stores market to their internal employees via the distribution of branded promotional products. The purpose of this study is to investigate factors that may influence when an employee is more likely to purchase from a company store.

Design/methodology/approach

A survey was administered to the members of a chamber of commerce located in the southeastern USA. Data were analyzed using regression, and post hoc analyses were conducted using an analysis of covariance.

Findings

Organizational identification and job satisfaction significantly impacted employees’ intentions to purchase from a company store. Gender, education, marital status and years of work experience were personal factors that moderated that relationship. Firm size and employee rank were company factors that moderated the relationship between employee work perceptions and employee purchase intentions at a company store.

Originality/value

No research to date exists on company stores. This study is unique in that it proposes internal branding as a theoretical foundation for understanding company stores and examines factors that impact employees’ intentions to purchase from a company store.

Details

Journal of Product & Brand Management, vol. 25 no. 5
Type: Research Article
ISSN: 1061-0421

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Article
Publication date: 5 May 2021

Deborah E. Swain and Patrick Roughen

This paper aims to describe how knowledge management (KM) in planning can support the sustainability of innovation in a hybrid, joint-use facility. The case study research studies…

941

Abstract

Purpose

This paper aims to describe how knowledge management (KM) in planning can support the sustainability of innovation in a hybrid, joint-use facility. The case study research studies ImaginOn, a 15 year-old children’s library and theater for young people in Charlotte, NC.

Design/methodology/approach

This research used KM model analysis of qualitative data about tacit-explicit knowledge, intellectual capital (IC) and cognitive modes of collaboration. Both historic documents and primary data (from field study observations, interviews and a questionnaire) were analyzed for informal KM practices. Semi-structured and unstructured interview questions about innovation were used.

Findings

This study found evidence of tacit knowledge sharing, the growth of IC and the operationalization of collaboration to promote innovation. Although traditional KM terms were not used by staff, an integrated model framework demonstrates how KM practices promote innovation in planning joint-use facilities.

Practical implications

Although a study of a diverse cultural collaboration rather than two libraries, the KM practices that supported innovation and collaboration in this hybrid, joint-use facility might be applied to libraries. Future KM model research on joint-use organizations could investigate merged businesses, government programs and non-profits.

Social implications

The library and theater institutions in ImaginOn impact the lives of children and parents in meaningful ways that support community understanding, art, diversity and social interaction.

Originality/value

Research on joint-use libraries began in the 1960s. This case study provides unique model analysis of KM practices in a hybrid, joint-use facility (a library and theater). The innovative success and sustainability of ImaginOn illustrates the application of KM for strategic planning and aligning IC and business assets.

Details

Journal of Knowledge Management, vol. 25 no. 10
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 15 March 2022

Christian Ritzel and Stefan Mann

While it is incontestable that eating in restaurants leads to a higher energy intake than eating at home, this paper explores the even more environmentally relevant connection…

169

Abstract

Purpose

While it is incontestable that eating in restaurants leads to a higher energy intake than eating at home, this paper explores the even more environmentally relevant connection between meat intake and the location of eating.

Design/methodology/approach

Based on secondary data from the US National Health and Nutrition Examination Survey (NHANES), the authors apply a latent class model (LCM), combining latent profile analysis (LPA) and regression analysis. Different (latent) consumer classes are modeled based (1) on share of meat consumption and (2) share of eating out by means of LPA, while class-specific socio-demographic characteristics are estimated by means of ordered logistic regression.

Findings

Results of the LPA reveal four (latent) consumer classes with regard to the share of meat consumption and the share of eating out. One class consists mostly of male meat lovers with a high share of eating out, which, however, only represents 7% of the sample. A much larger class represents an affluent social group that consumes the majority of food outside of the home but does not consume significantly more meat than the large group of moderates who mostly eat at home. The fourth class mostly consists of children with a very low intake of meat.

Originality/value

By applying a LCM, the authors shed some light on the relation between meat consumption and eating out. The authors demonstrated that commonly assumed relations, such as men eating more meat than women, do not necessarily apply. Similar findings apply to factors potentially influencing meat consumption, such as education, marital status and income.

Details

British Food Journal, vol. 125 no. 1
Type: Research Article
ISSN: 0007-070X

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Book part
Publication date: 11 July 2017

Valerie Hill-Jackson

Bringing renewed attention to the anemic representation of Black women within the teaching profession, this chapter begins by chronicling the history of Black women in teacher…

Abstract

Bringing renewed attention to the anemic representation of Black women within the teaching profession, this chapter begins by chronicling the history of Black women in teacher education – from the Reconstruction Era to the 21st century – in an effort to highlight the causes of their conspicuous demographic decline. Next, it is argued that increasing the number of Black women in the teaching profession is a worthwhile endeavor although the rationales for such targeted efforts may not be obvious or appreciated by the casual observer. It is, therefore, important to illuminate the multiple justifications as to why it is essential to improve the underrepresentation of Black women in America’s classrooms. Lastly, it is asserted that serious attention is required to reverse the dramatic exodus of Black women from the teaching profession. In conveying this issue, the author shares special emphasis recruiting tactics, for the national, programmatic, and local school district levels, as promising proposals to enlist and retain more Black women in the teaching profession.

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Article
Publication date: 10 June 2020

Can Dogan and John Can Topuz

This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level.

777

Abstract

Purpose

This paper aims to investigate the relationship between residential real estate prices and unemployment rates at the Metropolitan Statistical Area (MSA) level.

Design/methodology/approach

This paper uses a long time-series of MSA-level quarterly data from 1990 to 2018. It uses an instrumental variable approach to estimate the effects of residential real estate prices on unemployment rates using the geography-based land constraints measure of Saiz (2010) as the instrument.

Findings

The results show that changes in residential real estate prices do not have a causal effect on unemployment rates in the same quarter. However, it takes 9-12 months for an increase (decrease) in real estate prices to decrease (increase) unemployment rates. This effect is significant during both pre- and post-financial crisis periods and robust to control for the economic characteristics of MSAs.

Research limitations/implications

This paper contributes to the emerging literature that studies the real effects of real estate. Particularly, the methodology and the findings can be used to investigate causal relationships between housing prices and small business development or economic growth. The findings are also of interest to policymakers and practitioners as they illustrate how and when real estate price shocks propagate to the real economy through unemployment rates.

Practical implications

This study’s findings have important implications for academics, policymakers and investors as they provide evidence of a snowball effect associated with shocks to real estate prices: increasing (decreasing) unemployment rates following a decrease (increase) in real estate prices exacerbates the real estate price movements and their economic consequences.

Originality/value

This paper analyzes a significantly longer period, from 1990 to 2018, than the existing literature. Additionally, it uses the MSA-level land unavailability measure of Saiz (2010) as an instrument to explore the effects of residential real estate prices on unemployment rates and when those effects are observed in the real economy.

Details

Studies in Economics and Finance, vol. 37 no. 4
Type: Research Article
ISSN: 1086-7376

Keywords

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