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Increasingly complex societal challenges call for new, innovative solutions that social hybrid business models can provide. Social supermarkets (SSMs) are one example offering access to affordable food to people living in poverty while reducing food waste of nearby retailers. Finding the “right” location is an essential part of this retail marketing strategy. However, limited research has attempted to investigate the specific conditions of locational planning for hybrid and nonprofit retail organizations. This paper illustrates the case of Austria where SSMs are well established.

A GIS-based white space analysis was carried out to identify potential neighborhoods or rural areas for new social supermarkets with sufficient nearby demand, supply and no existing SSMs. The empirical parameters for this spatial analysis can be transferred to European countries with similar ecosystems. The authors collected a unique data set of 79 (2014) and 88 SSMs (2019) and 4,665 (2014) and 4,211 (2019) food retailers as (potential) suppliers to SSMs. To determine demand, the authors relied on small-scale integrated wage and income tax data and unemployment rates (2011) from Statistics Austria.

Overall, Austria has very good spatial access to grocery stores, including to SSMs. SSM access increased especially in the capital of Vienna between 2014 and 2019. The GIS-based white space analysis identified several other regions where residents have a high demand for affordable food with sufficient potential suppliers of surplus food but no SSM yet. Neighborhood-level findings are released as part of a publicly accessible spatial decision support system.

The methodology allowed a specific definition of the key areas of relevance by matching the demand for SSMs, calculated as the number of people with low incomes in the respective regions in Austria, with the supply of SSMs, calculated as the amount of potential food loss prevention by nearby retail stores. These parameters have proven to help in identifying the white spaces and therefore can be used in Austria and other European countries with similar ecosystems.

The disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of the inherent characteristics of the disabled populations, so that working plans and policies, which can effectively help the disabled populations, can be made accordingly.

In this paper, the authors proposed a big data management and analytic approach for disability datasets.

By using a set of data mining algorithms, the proposed approach can provide the following services. The data management scheme in the approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. The data mining scheme in the approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments based on real-world dataset are conducted at the end to prove the effectiveness of the approach.

The proposed approach can enable data-driven decision-making for professionals who work with disabled populations.

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.

Objectives – Purchasing has been promoted as a key policy instrument to improve health system performance. Despite its widespread adoption, there is little empirical evidence on how it works, the challenges surrounding its implementation, its impact, and the preconditions for it to function effectively, particularly in low- and middle-income settings. The objective of this chapter is to analyze critically the extent to which purchasing could be, and has been used strategically in China and to identify modifications that are needed for purchasing to be effective in assuring that the government's new funding for health care will result in efficient and effective health services.

Methods – We present a conceptual framework for purchasing, which identifies three critical principal–agent relationships in purchasing. We draw on evidence from secondary data, results of other research studies, interviews, and the impact evaluation of a social experiment in rural China that explicitly used purchasing to improve quality and efficiency. This information is used to examine purchasing relationships in urban social health insurance (SHI), the rural medical insurance scheme, and purchasing of public health services.

Findings – To date, use of strategic purchasing is limited in China. Both the urban and the rural health insurance schemes act as passive third-party payers, failing to take advantage of the opportunities to strengthen incentives to improve quality and efficiency. This may be because as government agencies, the extent to which the Ministries of Health and Labor and Social Security can act independently from provider interests, or act in the best interest of the population, is unclear. Other important challenges include ensuring adequate representation of the population's views and preferences and making better use of the leverage provided by purchasing to create appropriate provider incentives, through better integration of financing and improved coordination among purchasers.

Implications for policy – In designing purchasing arrangements, attention needs to be paid to all three principal–agent relationships. Successful purchasing appears to require mechanisms to mobilize and represent community preferences and more strategic contracting with providers. More research is needed to strengthen the evidence on which purchasing arrangements work, which do not work, and under what conditions different purchasing configurations can work most effectively.

This study aims to investigate whether frugality increases customer complaints via the mediating role of the zone of tolerance (ZOT) of quality for Shanzhai products. Additionally, the study seeks to explore how customer empathy as a boundary condition affects the relationship between the ZOT of quality and customer complaints.

Based on the purchasing data of 241 low-income customers from business-to-consumer (B2C) e-commerce and social platforms in China, hierarchical analysis was conducted in the study. Moreover, “PROCESS SPSS Macro” was used to test the mediation effect of the ZOT of quality and the moderated mediation effect with customer empathy as a moderator.

The results indicate a positive impact of frugality on customer complaints, which is mediated by the ZOT of quality. Moreover, with an increase in customer empathy, the negative effect of the ZOT of quality on customer complaints increases, and the positive influence of frugality on customer complaints, through the mediation of the ZOT of quality, also becomes stronger.

Drawing upon the principle of cognitive consistency, this study not only extends the stream of research on frugality by exploring how frugality influences customer complaints via the mediation of the ZOT of quality but also sheds new light on the research on customer empathy by exploring its moderating role in the relationship between the ZOT of quality and customer complaints.

Job training, as traditionally conceptualized, is intended to improve the employment and earnings of disadvantaged individuals. Both theory and practice have approached the problem by segmenting the roles and responsibilities of the key stakeholders: the individual, the employer, and civil society. Such segmentation is problematic because it removes stakeholders from their contexts, and ignores the holistic and complex nature of the underlying problems and their remedies. Reframed as a form of business and community development, job training can focus on capacity building, stakeholder involvement, and expanded notions of skill achievement and geographic scope, thereby addressing stakeholder interests in context. The three cases presented in this chapter describe such reframing: from increasing human capital to building human capacity; from a partnership or individual business focus to a multi-stakeholder approach; and from job and employer-specific skill development to that which is multi-phased and geographically dispersed. Complexity theory will be used to explain these developments.