Why Do Nonprofit Performing Arts Organizations Offer Free Public Access?

A number of studies have shown that arts and cultural programs offer multifarious benefits to individuals and communities. However, there has been little discussion in the public management literature regarding access to cultural programs for people with limited disposable income. Although the arts industry is increasingly emphasizing the importance of expanding cultural access for all, we know little about what drives individual nonprofit organizations’ strategies. This article draws on benefits theory and resource dependence theory to explore the relationships between different types of revenue and the extent to which performing arts nonprofits offer free access. The authors use a unique data set compiled by DataArts to test how various types of revenue influence accessibility to the arts and find that performing arts nonprofits receiving grants from local governments, foundations, and corporations offer more free access. The article concludes with a discussion of study implications and an application of benefits theory to other types of nonprofits.     

Reflections on innovation,assessment, and social change: a SPARC case study

This article challenges the terms on which donor agencies evaluate development success, drawing on a particular case to make its point. It describes the resettlement of 60,000 people squatting along the railway tracks in Mumbai, a process planned and carried out by a federation of the railway dwellers themselves, with support from the NGO SPARC (the Society for the Promotion of Area Resource Centres). The article argues that this effort, which met donor criteria for a successful project, was the tip of an iceberg. Without an appreciation of the years of learning and innovation that preceded it, and the underpinning of principles and relationships built up over many years, this achievement cannot be adequately assessed or understood – and certainly not replicated. Yet in the world of formal assessment and evaluation, there tends to be a lack of interest in the deeper learning about social change that makes such success stories possible.     

Reimagining race and gender in public administration and public policy: Insights from an interdisciplinary systematic review

Public administration scholarship on race and gender is motivated by normative concerns about social equity, and dominated by work on bureaucracy and its representativeness. Despite decades of research on race and gender in public administration, there has been limited engagement with racializing and gendering processes. Relatedly, scant attention is paid to other disciplines that center on race and gender in theorizing. The purpose of this review is to explore public administration scholarship on race and gender in the context of allied social science disciplines, reveal limits of current approaches in public administration, and articulate strategies for enhancing understanding of race and gender in public administration scholarship. We use bibliometric and content analysis methods to map the intellectual structure of social science scholarship on race and gender, highlight public administration's place in this structure, and compare public administration scholarship on race and gender with other social science disciplines.     

Measuring Innovativeness of Public Organizations: Using Natural Language Processing Techniques in Computer-Aided Textual Analysis

We propose a new method for measuring innovativeness in the public sector using natural language processing techniques. Our approach extends traditional content analysis techniques by combining insights from linguistic theory and recent developments in computational techniques. We develop and employ phrase-level data dictionaries (using both noun phrases and verb phrases) from organizational documents. We use letters to the board of education from a sample of New Jersey school districts to develop measures of innovativeness—one measure is based on expert assessments and the other is inductively derived. We perform rigorous tests of content validity, external validity, and predictive validity on these measures. We conclude with a discussion of implications of this new measurement approach and its potential applications to other public management contexts.     

Donors’ Responses to Profit Incentives in the Social Sector: The Entrepreneurial Orientation Reward and the Profit Penalty

This study uses an online survey experiment to test whether the pairing of profit-seeking with mission-related programs in the social sector attracts or deters donations from individual donors. We test individuals’ response to three types of profit incentives allowed under current U.S. public policy: (1) non-distributed profit to an organization, which is allowed for nonprofit entities; (2) profit to the organization's equity investors and owners, which is allowed under for-profit social enterprise governance charters; and (3) profit to lending investors, which is introduced by social impact bonds, a pay-for-success policy tool. We test trust theory, under which profit incentives deter donors against entrepreneurial orientation (EO) theory, which suggests that donors are attracted to organizations that use innovative, market-driven programs. Findings indicate support for both theories, but the support depends on how the specific profit incentive is structured. Donors support organizations that use profit-generating social enterprise programs—but only when the profits are non-distributable; donors’ support is significantly lower for social enterprises in which owners and equity investors may profit. Importantly however, this negative effect is not found for pay-for-success policy tools where lending investors, rather than equity investors and owners, receive profits.     

Understanding Motivations of Mega-Gift Donors to Higher Education: A Qualitative Study

Patterns of giving to higher education by individual donors have changed in recent years, with large gifts accounting for an increasing percentage of the total. In light of this shift, understanding the motivations of donors who make very large gifts, commonly known as “mega-gifts,” has become important. Efforts to explore these motivations run into access barriers. This article uses an innovative methodological approach to overcome this challenge. Drawing on the media coverage of mega-gifts, the authors create donor biographies and carry out qualitative analysis of these donor biographies to examine donor motivations and evolution in motivations. The article draws on the existing literature to synthesize a typology of donor motivations and uses this typology to categorize the motivations of mega-gift donors. The identification of additional subcategories under the broad category of impact is a significant contribution of this study and adds nuance to our understanding of mega-gift donors to higher education institutions.     

Content-Based Image Retrieval： Near Tolerance Rough Set Approach

The problem considered in this paper is how to detect the degree of similarity in the content of digital images useful in image retrieval, i.e., to what extent is the content of a query image similar to content of other images. The solution to this problem results from the detection of subsets that are rough sets contained in covers of digital images determined by perceptual tolerance relations （PTRs）. Such relations are defined within the context of perceptual representative spaces that hearken back to work by J.I-I. Poincar6 on representative spaces as models of physical continua. Classes determined by a PTR provide content useful in content-based image retrieval （CBIR）. In addition, tolerance classes provide a means of determining when subsets of image covers are tolerance rough sets （TRSs）. It is the nearness of TRSs present in image tolerance spaces that provide a promising approach to CBIR, especially in cases such as satellite images or aircraft identification where there are subtle differences between pairs of digital images, making it difficult to quantify the similarities between such images. The contribution of this article is the introduction of the nearness of tolerance rough sets as an effective means of measuring digital image similarities and, as a significant consequence, successfully carrying out CBIR.     

Is There a Nonprofit Advantage? Examining the Impact of Institutional Context on Individual–Organizational Value Congruence

This article addresses an important question: do nonprofit organizations have an advantage over public organizations in fostering individual–organizational value congruence? The authors argue that nonprofit organizations do have an advantage. This is because institutional differences between the two sectors become manifest through nonprofit status and the extent of external control, which influences the organization and the individual. External control and sector status (nonprofit versus public) determine the extent of centralization, organizational goal ambiguity, and work autonomy. In turn, these three organizational characteristics shape individual–organizational value congruence. Although the results provide support for the nonprofit advantage thesis, it is worth noting that organizational effects on individual–organizational value congruence are more powerful. Indeed, the results suggest that managerial and organizational actions, compared with sector status, are more likely to influence individual–organizational value congruence.