April D. Schantz, Stefany Coxe and Valentina Bruk-Lee
The purpose of this research is to explore the structure and impact of police officers' social support network on health and well-being. Social integration promotes opportunities…
Abstract
Purpose
The purpose of this research is to explore the structure and impact of police officers' social support network on health and well-being. Social integration promotes opportunities for regular positive experiences and a set of stable, socially rewarded roles within one's work and life domains. Identifying the structure and impact areas of police officers' social support network provide guidance for initiatives in improving psychological health for the department and individual officers.
Design/methodology/approach
Survey of 162 police officers' sources of support provided a holistic representation of their social network across seven sources. Principle component analyses were conducted to explore the structure of one's social network. Multiple regression analyses were conducted to examine overall impact of one's social support network and relative contributions of support sources in terms of increased well-being and reduced strain.
Findings
A three-component structure of social support was partially supported. Overall models of the impact of one's social support network related to increased well-being and reduced strain was supported. Relative contributions of support sources show different patterns based on outcome of interest.
Practical implications
Provides guidance for addressing the psychological well-being needs for officers holistically. In other words, treating officers as whole beings, whose system of support and psychological health is integrated, not piecemeal.
Originality/value
Examination of principle effects of support provides a parsimonious approach to considering the holistic value of one's support system, apart from specific stressors or conditions.
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Abstract

Purpose
Additive manufacturing (AM) or solid freeform fabrication (SFF) technique is extensively used to produce intrinsic 3D structures with high accuracy. Its significant contributions in the field of tissue engineering (TE) have significantly increased in the recent years. TE is used to regenerate or repair impaired tissues which are caused by trauma, disease and injury in human body. There are a number of novel materials such as polymers, ceramics and composites, which possess immense potential for production of scaffolds. However, the major challenge is in developing those bioactive and patient-specific scaffolds, which have a required controlled design like pore architecture with good interconnectivity, optimized porosity and microstructure. Such design not only supports cell proliferation but also promotes good adhesion and differentiation. However, the traditional techniques fail to fulfill all the required specific properties in tissue scaffold. The purpose of this study is to report the review on AM techniques for the fabrication of TE scaffolds.
Design/methodology/approach
The present review paper provides a detailed analysis of the widely used AM techniques to construct tissue scaffolds using stereolithography (SLA), selective laser sintering (SLS), fused deposition modeling (FDM), binder jetting (BJ) and advanced or hybrid additive manufacturing methods.
Findings
Subsequently, this study also focuses on understanding the concepts of TE scaffolds and their characteristics, working principle of scaffolds fabrication process. Besides this, mechanical properties, characteristics of microstructure, in vitro and in vivo analysis of the fabricated scaffolds have also been discussed in detail.
Originality/value
The review paper highlights the way forward in the area of additive manufacturing applications in TE field by following a systematic review methodology.
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Joseph Nockels, Paul Gooding and Melissa Terras
This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI)…
Abstract
Purpose
This paper focuses on image-to-text manuscript processing through Handwritten Text Recognition (HTR), a Machine Learning (ML) approach enabled by Artificial Intelligence (AI). With HTR now achieving high levels of accuracy, we consider its potential impact on our near-future information environment and knowledge of the past.
Design/methodology/approach
In undertaking a more constructivist analysis, we identified gaps in the current literature through a Grounded Theory Method (GTM). This guided an iterative process of concept mapping through writing sprints in workshop settings. We identified, explored and confirmed themes through group discussion and a further interrogation of relevant literature, until reaching saturation.
Findings
Catalogued as part of our GTM, 120 published texts underpin this paper. We found that HTR facilitates accurate transcription and dataset cleaning, while facilitating access to a variety of historical material. HTR contributes to a virtuous cycle of dataset production and can inform the development of online cataloguing. However, current limitations include dependency on digitisation pipelines, potential archival history omission and entrenchment of bias. We also cite near-future HTR considerations. These include encouraging open access, integrating advanced AI processes and metadata extraction; legal and moral issues surrounding copyright and data ethics; crediting individuals’ transcription contributions and HTR’s environmental costs.
Originality/value
Our research produces a set of best practice recommendations for researchers, data providers and memory institutions, surrounding HTR use. This forms an initial, though not comprehensive, blueprint for directing future HTR research. In pursuing this, the narrative that HTR’s speed and efficiency will simply transform scholarship in archives is deconstructed.
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Why isn't the four letter word beginning with f— used in the title of this conference.
This special “Anbar Abstracts” issue of the Leadership & Organization Development Journal is split into four sections covering abstracts under the following headings: Culture…
Abstract
This special “Anbar Abstracts” issue of the Leadership & Organization Development Journal is split into four sections covering abstracts under the following headings: Culture, Change and Intervention; Management Styles and Techniques; Leadership and Decision; Communications.
John James Cater III and Brent Beal
– The purpose of this paper is to examine the experiences of family business owners in an externally induced crisis from a resource-based perspective.
Abstract
Purpose
The purpose of this paper is to examine the experiences of family business owners in an externally induced crisis from a resource-based perspective.
Design/methodology/approach
The paper employs a qualitative case study approach involving 22 firms.
Findings
In the aftermath of the BP oil spill, a series of ripple effects impacted family firms both negatively and positively. The paper outlines five ways that family firms may improve company performance in crisis situations.
Research limitations/implications
Although our study is rich in qualitative detail, it is important to recognize that the BP oil spill represents a unique crisis context and caution should be exercised in generalizing the study's findings.
Practical implications
While ripple effects may be powerful at the industry and industry sub-group level, the paper provides evidence that family firms may overcome these external effects using one or more of five strategic initiatives: strong networking relationships, idiosyncratic local knowledge, flexibility, rapid response, and exercising trust with caution.
Originality/value
The study validates the potential utility of a ripple effect model in the study of family businesses and externally induced crises. It has the potential to contribute to improving management response.
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Homa Bahmani, Yibin Ao, Dujuan Yang, Dongpo Wang, Mingyang Li, Yi Long and Panyu Peng
This study aims to enhance evacuation safety and efficiency measures in primary school corridors by considering the impact of adult guidance and evacuation graphical signs on…
Abstract
Purpose
This study aims to enhance evacuation safety and efficiency measures in primary school corridors by considering the impact of adult guidance and evacuation graphical signs on evacuation speed and density by considering different visibility conditions and corridor design.
Design/methodology/approach
The experiment setup involved ten carefully designed drills exploring the evacuation behavior of 6–7-year-old students in a primary school, varying factors such as adult guidance, smoke conditions and graphical evacuation signs. Kinovea software was employed for data extraction to transform video footage into frames, facilitating meticulous manual tallies of children’s movements in designated sub-areas during the drills. The research utilized statistical tests, a generalized linear model and curve-fitting techniques to analyze the extracted data.
Findings
The findings highlight the vital role of adult guidance in expediting evacuations, emphasizing the importance of trained personnel during emergencies. Additionally, graphical evacuation signs were identified as powerful tools for enhancing evacuation speed during low visibility, as they provide clear visual cues to guide evacuees effectively. Signage and adult guidance are beneficial when the classrooms’ gates opening to the passage are far from each other. In contrast, in areas with close and multiple exits, guidance strategies, especially those involving adults, are more effective in reducing population density during evacuations.
Originality/value
These findings have practical implications for improving emergency preparedness, guiding the design of primary school corridors and informing evacuation protocols. School administrators, architects and emergency planners can utilize these findings to inform the development of safety protocols, enhance evacuation guidance strategies and improve the design of primary school corridors. Further research can expand on these findings by exploring their applicability in diverse educational settings and evaluating the real-world implementation of evacuation measures.
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Diane Edmondson, Tim Graeff, Lucy Matthews, Don Roy, Raj Srivastava and Cheryl Ward
This study aims to examine consumers’ patriotism, attitudes toward veterans and attitudes and behaviors toward businesses that honor veterans. The goal is to determine if…
Abstract
Purpose
This study aims to examine consumers’ patriotism, attitudes toward veterans and attitudes and behaviors toward businesses that honor veterans. The goal is to determine if consumers are more or less likely to support businesses that offer veterans preferential treatment.
Design/methodology/approach
The conceptual model proposed is tested using an online survey with a nationwide sample. Data are analyzed using partial least squares structural equations modeling.
Findings
Results indicate that consumer attitudes toward businesses that honor veterans fully mediate the impact of consumer attitudes toward veterans on behavioral intentions. This suggests that veterans’ discounts or preferential treatments are viewed as a viable means by which consumers can show their support for veterans. Further, results reveal that patriotism has a direct effect on consumers’ behavioral intentions toward businesses that honor veterans.
Practical implications
Businesses routinely offer discounts targeted to specific consumers, such as the elderly and children. These results show that providing discounts to veterans can offer multiple benefits to businesses as well. Positive attitudes toward businesses that honor veterans can lead to positive behavioral intentions from consumers who seek to support veterans.
Originality/value
Despite the existence of businesses honoring veterans by providing discounts or preferential treatment, to the best of the authors’ knowledge, little to no research has investigated the impact that these discounts provide to businesses.