Search results

The purpose of this article is to shed light on opportunities for social capital during the conceptualization and initial implementation of innovative social enterprises dedicated to violence prevention and youth empowerment in Brazil.

Based on a two-tiered interview process over a nine-month period with 27 social entrepreneurs in Rio de Janeiro, Brazil, attention is given to with whom, where and in what ways these innovators accessed and utilized the skills and knowledge necessary to develop and administer social entrepreneurial programs.

The findings reveal more than any other social actor the target population featured most frequently in interviews with social entrepreneurs.

Because of the small scale of the study and the specific focus of the social entrepreneurs, the implications of the study are not generalizable to social entrepreneurs across fields.

The findings are valuable because they can inform future social entrepreneurs dedicated to violence prevention and youth empowerment about social relations they may wish to cultivate to access relevant social resources during the initial stages of social entrepreneurship.

Among other benefits, investing in social relations with the target population could help minimize top-down models, which have been a common criticism among third-sector social enterprises.

The value of this study is that it adds insight into how the social entrepreneurs built trust among this critical group of actors as well as an analysis of the outcome of the social capital embedded in relations with the target population during the initial stages of social entrepreneurship.

‘Black Africans’ in England are disproportionately and highly affected by the heterosexually contracted HIV epidemic. Policy and practice frameworks have advocated ethnic matching in HIV prevention. We explore how self‐identifying ‘black African’ workers in London were co‐producers of ‘black African’ identities to target in preventative HIV interventions. Drawing on a focused literature review and 12 in‐depth interviews with workers, the paper identifies themes associated with co‐production of an African identify by workers. The historical inclusion of the category ‘black African’ in the 1991 census coincided with the emergence of Africans as at higher HIV ‘risk’. In co‐producing an African public, the workers projected their heterosexual and Christian affiliations on to the targeted population, perceiving themselves as ‘insiders’ knowledgeable about rumours that had historically co‐produced African identities. Fear of those in authority galvanised the formation of African‐led agencies, offering entry points for HIV prevention to Africans. By projecting aspects of their complex ‘selves’ on to the ‘other’, encounters in public spaces were deemed ‘opportunities’ for outreach interventions. The ethics of ‘cold calling’, confidentiality and informed consent were taken as ‘given’ in these socially produced ‘private’ spaces located in ‘public’ venues. In following HIV prevention frameworks as advocated by Pulle et al (2004), the workers endorsed yet problematised the notion of ethnic matching.

This study examines the implementation of a community-level Sustainable Broadband Adoption Program (SBA) under the Broadband Technology Opportunities Program (BTOP), a national public policy program meant to expand broadband deployment and adoption under the American Recovery Act of 2009, and administered by the National Telecommunications and Information Administration (NTIA) at the U.S. Department of Commerce. The California Connects Program (CC) was administered by the Foundation for California Community Colleges (FCCC).

This chapter focuses on one part of CC’s efforts to expand broadband adoption among the most underserved Californians through collaboration with the Great Valley Center (GVC). CC-GVC provided basic computer and Internet classes to disconnected populations with low-literacy levels, and primarily in Spanish, through community-based organizations, public schools, public libraries, small businesses, and others in the Central Valley, an 18 county rural region with a high concentration of digital destitute populations. The program worked with under-resourced local community institutions with a range of poor technology resources and that operated under variable set of social, economic, political, and institutional conditions. Through inductive, process-oriented, and explanatory case study research, the structure, strategy, and training approach of CC was examined. Content and theme analysis of primary and secondary qualitative and quantitative data involving the program’s leadership, direct service providers, partners, participants, and nonparticipants was conducted. This involved a sample of 600 in-depth and short, structured and unstructured interviews and focus groups, archival and participant observation notes.

It was found that CC-GVC was able to meet uncertainty and operated with low institutional resources and paucity of linguistically appropriate teaching resources for new entrants through a flexible leadership approach that adapted to the social situation and was open to innovation. Community technology trainers were also able to engage those without or little direct experience with computers and with low-literacy levels with a linguistically appropriate and culturally sensitive step-by-step teaching approach that empowered and met people where they are. The author expands non-adoption models to include structural barriers in the analysis of the disconnected. It is argued that non-adoption is a result of evolving inequality processes fueled by poverty and under-resourced community development institutions and that teaching and learning is a social and institutional process that takes trust and time.

CC shows that even the most disadvantaged can be empowered to learn-to-learn to use computers and can begin to function online and gain benefit under the most extreme institutional and economic conditions, but it takes more time and resources than providers expected and the Recovery Act provided.

The purpose of this paper is to investigate to what extent urban regeneration programmes were targeted at the most deprived geographical areas and populations within the boundaries of nine local authorities (LAs) in the North West of England.

For each of the nine LAs, area‐level and individual survey data were used in estimating the proportions of the more deprived neighbourhoods and individuals included in (or excluded from) regeneration target populations after 1995.

The area‐level approach found that, in general, the more deprived neighbourhoods within local authority districts had been included in a main regeneration programme target area. However there was evidence of inconsistent coverage between LA areas, as well as some cases of very deprived local areas having no involvement at all in major regeneration programmes since 1995. Additional analysis of available survey data found that substantial numbers of residents with one or more individual indicators of deprivation (not in full‐time employment, not owning home, in difficult financial situation) had not been included in a regeneration target population.

The basic nature of the measures of regeneration and deprivation used in the study reflect its status as the first stage of a wider project investigating the association between regeneration activity, social exclusion and health.

The findings of the study highlight the requirement for evaluators of a regeneration programme to consider how successful the intervention has been in targeting those residents for whom it was initially designed. This should precede any measurement of the programme outputs and their impact upon the “well‐being” of the targeted community.

The study is original in its use of both aggregated and individual level data in its consideration of how regeneration targets “need”.

The overall objective of this research was to elucidate the ecosystem of women’s health social enterprises (WHSEs) based in the United States. The Aim I was to conduct a secondary data analysis of a random national sample of non-profit WHSEs based in the United States regarding their characteristics and areas of intervention. Aim II was to conduct a qualitative assessment of a sample of WHSEs based in the United States regarding their perspectives on the ecosystem of WHSEs. Aim I utilized the GuideStar database and assessed enterprise size, geographic location, financial distress, health intervention area, and health activity category using descriptive statistics, statistical tests, and multivariable regression analysis via SPSS. Aim II utilized in-depth interviewing and grounded theory analysis via MAXQDA 2018 to identify novel themes and core categories while using an established framework for mapping social enterprise ecosystems as a scaffold.

Aim I findings suggest that WHSE activity is more predominant in the south region of the United States but not geographically concentrated around cities previously identified as social enterprise hubs. WHSEs take a comprehensive approach to women’s health, often simultaneously focusing on multiple areas of health interventions. Although most WHSEs demonstrate a risk for financial distress, very few exhibited severe risk. Risk for financial distress was not significantly associated with any of the measured enterprise characteristics. Aim II generated four core categories of findings that describe the ecosystem of WHSE: (1) comprehensive, community-based, and culturally adaptive care; (2) interdependent innovation in systems, finances, and communication; (3) interdisciplinary, cross-enterprise collaboration; and (4) women’s health as the foundation for family and population health. These findings are consistent with the three-failures theory for non-profit organizations, particularly that WHSEs address government failure by focusing on the unmet women’s health needs of the underserved populations (in contrast to the supply of services supported by the median voter) and address the market failure of over exclusion through strategies such as cross-subsidization and price discrimination. While WHSEs operate with levels of financial risk and are subject to the voluntary sector failure of philanthropic insufficiency, the data also show that they act to remediate other threats of voluntary failure.

Aim I findings highlight the importance of understanding financial performance of WHSEs. Also, lack of significant associations between our assessed enterprise characteristics and their financial risk suggests need for additional research to identify factors that influence financial performance of WHSE. Aim II findings show that WHSEs are currently engaged in complex care coordination and comprehensive biopsychosocial care for women and their families, suggesting that these enterprises may serve as a model for improving women’s health and health care. The community-oriented and interdisciplinary nature of WHSE as highlighted by our study may also serve as a unique approach for research and education purposes. Additional research on the ecosystem of WHSE is needed in order to better inform generalizability of our findings and to elucidate how WHSE interventions may be integrated into policies and practices to improve women’s health.

There is growing evidence that health behaviour change interventions are associated with mental health and wellbeing improvements. This paper aims to examine the effect of healthy lifestyle interventions on mental wellbeing.

Six databases (Medline, Evidence Based Medicine Cochrane Registered Controlled Trials, Evidence Based Medicine Full Text Reviews, British Nursing Index, Embase, PsycINFO) were searched from database commencement up to April 2013. A broad focus on lifestyle interventions and mental health and wellbeing outcomes was chosen. Papers were systematically extracted by title then abstract according to predefined inclusion and exclusion criteria. Inclusion criteria: any individual population (non-couple/family); any health behaviour change interventions; mental health and wellbeing outcomes; and a one-two level of evidence. Interventions aimed at workers were excluded, as were articles assessing cognitive functioning rather than mental health or wellbeing, or those using medications in interventions.

Two authors reviewed 95 full papers. In total, 29 papers met inclusion criteria, representing a range of interventions spanning physical activity, diet, alcohol intake, drug use and smoking. A range of measures were used. The majority (n=25) of studies demonstrated improvements on at least one indicator of mental health and wellbeing. Limitations include the broad range of outcome measures used, varied follow-up times and the lack of detail in reporting interventions.

Health behaviour change interventions targeting physical outcomes appear to have benefits to mental health and wellbeing spanning healthy populations and those with physical or mental health problems. Evidence is strongest for interventions targeting exercise and diet, particularly in combination and the actual lifestyle changes made and adherence appear to be important. However, it is not clear from this review which specific components are necessary or essential for improvements in mental health and wellbeing.

The purpose of this paper is to provide a comprehensive review of the respondents’ fraud phenomenon in online panel surveys, delineate data quality issues from surveys of broad and narrow populations, alert fellow researchers about higher incidence of respondents’ fraud in online panel surveys of narrow populations, such as logistics professionals and recommend ways to protect the quality of data received from such surveys.

This general review paper has two parts, namely, descriptive and instructional. The current state of online survey and panel data use in supply chain research is examined first through a survey method literature review. Then, a more focused understanding of the phenomenon of fraud in surveys is provided through an analysis of online panel industry literature and psychological academic literature. Common survey design and data cleaning recommendations are critically assessed for their applicability to narrow populations. A survey of warehouse professionals is used to illustrate fraud detection techniques and glean additional, supply chain specific data protection recommendations.

Surveys of narrow populations, such as those typically targeted by supply chain researchers, are much more prone to respondents’ fraud. To protect and clean survey data, supply chain researchers need to use many measures that are different from those commonly recommended in methodological survey literature.

For the first time, the need to distinguish between narrow and broad population surveys has been stated when it comes to data quality issues. The confusion and previously reported “mixed results” from literature reviews on the subject have been explained and a clear direction for future research is suggested: the two categories should be considered separately.

Specific fraud protection advice is provided to supply chain researchers on the strategic choices and specific aspects for all phases of surveying narrow populations, namely, survey preparation, administration and data cleaning.

This paper can greatly benefit researchers in several ways. It provides a comprehensive review and analysis of respondents’ fraud in online surveys, an issue poorly understood and rarely addressed in academic research. Drawing from literature from several fields, this paper, for the first time in literature, offers a systematic set of recommendations for narrow population surveys by clearly contrasting them with general population surveys.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

We examine sample characteristics and elicited survey measures of two studies, the Health and Retirement Study (HRS), where interviews are done either in person or by phone, and the Understanding America Study (UAS), where surveys are completed online and a replica of the HRS core questionnaire is administered. By considering variables in various domains, our investigation provides a comprehensive assessment of how Internet data collection compares to more traditional interview modes. We document clear demographic differences between the UAS and HRS samples in terms of age and education. Yet, sample weights correct for these discrepancies and allow one to satisfactorily match population benchmarks as far as key socio- demographic variables are concerned. Comparison of a variety of survey outcomes with population targets shows a strikingly good fit for both the HRS and the UAS. Outcome distributions in the HRS are only marginally closer to population targets than outcome distributions in the UAS. These patterns arise regardless of which variables are used to construct post-stratification weights in the UAS, confirming the robustness of these results. We find little evidence of mode effects when comparing the subjective measures of self-reported health and life satisfaction across interview modes. Specifically, we do not observe very clear primacy or recency effects for either health or life satisfaction. We do observe a significant social desirability effect, driven by the presence of an interviewer, as far as life satisfaction is concerned. By and large, our results suggest that Internet surveys can match high-quality traditional surveys.

The purpose of this paper is to identify common issues among commercial body size charts, and to propose a sizing improvement methodology without changing the number of sizes in the range. One goal is to equalize the number of people accommodated by each size within the range, and to propose a way to evaluate the effectiveness of the improvement.

The proposed method consists of three phases: (Phase I) identify target population; (Phase II) analysis of existing size charts; and (Phase III) improvement of the initial size chart. Phase III is the key process, which includes repeated manipulation of intersize intervals of the three primary measurements (chest, waist and hip) for improved consistency of overall and interior accommodate rates among the three measurement categories. A program was developed in RStudio® to generate trials and side-by-side bar plots for visualization of the differences in accommodate rates.

The main issue in commercial body size charts observed is the inconsistency of the interior accommodation rates among measurement categories. Some other issues include: lack of important measurements, failure to provide ranges and gaps between measurement ranges of adjacent sizes.

This paper proposed a complete work flow to improve body size charts to fix the common issues. The method integrates historic size information and new anthropometric information extracted from a national-scale sizing database (e.g. SizeUSA). The study also brought association of the secondary body measurements with primary measurements without using linear regression. Hence, information from body size charts can be more efficiently used in acquiring other size information.