Nonprofit Management Tools and Trends 2014

The heightened importance of strong nonprofit management calls attention to a wide range of management practices that we call tools. Despite their importance, to date there has been no systematic attempt to understand what tools are being used or how effective they are. This report aims to fill that knowledge gap. It creates a "consumer report" for nonprofit leaders seeking to apply one or more of 25 popular tools to the challenges at hand. These tools can help organizations live up to their missions and meet funders' expectations for results. Many of the tools on our list, such as scenario planning and benchmarking, migrated from the business world. Others, such as funding models and constituent engagement, evolved specifically with nonprofit needs in mind.To understand how many tools a typical nonprofit uses, for what purposes, and how they perform, The Bridgespan Group developed a survey of the top nonprofit tools and trends in the social sector, nominated by a panel of more than two dozen practitioners, funders, and intermediaries. Overall findings confirm nonprofits' widespread use of management tools and their interest in using more in the future. The survey also provides insights into how well those tools help leaders respond to trends in the sector. It is our intent that this report will be repeated at intervals and should serve to stimulate questions, test practices, spark experiments, and ultimately help managers to get better results

Fatores que afetam a adoção de análises de Big Data em empresas

With the total quantity of data doubling every two years, the low price of computing and data storage, make Big Data analytics (BDA) adoption desirable for companies, as a tool to get competitive advantage. Given the availability of free software, why have some companies failed to adopt these techniques? To answer this question, we extend the unified theory of technology adoption and use of technology model (UTAUT) adapted for the BDA context, adding two variables: resistance to use and perceived risk. We used the level of implementation of these techniques to divide companies into users and non-users of BDA. The structural models were evaluated by partial least squares (PLS). The results show the importance of good infrastructure exceeds the difficulties companies face in implementing it. While companies planning to use Big Data expect strong results, current users are more skeptical about its performance.Con la cantidad total de datos duplicándose cada dos años, el bajo precio de la informática y del almacenamiento de datos, la adopción del análisis Big Data (BDA) es altamente deseable para las empresas, como un instrumento para conseguir una ventaja competitiva. Dada la disponibilidad de software libre, ¿por qué algunas empresas no han adoptado estas técnicas? Para responder a esta pregunta, ampliamos la teoría unificada de la adopción y uso de tecnología (UTAUT) adaptado para el contexto BDA, agregando dos variables: resistencia al uso y riesgo percibido. Utilizamos el grado de implantación de estas técnicas para dividir las empresas entre: usuarias y no usuarias de BDA. Los modelos estructurales fueron evaluados con partial least squres (PLS). Los resultados muestran que la importancia de una buena infraestructura excede las dificultades que enfrentan las empresas para implementarla. Mientras que las compañías que planean usar BDA esperan muy buenos resultados, las usuarias actuales son más escépticos sobre su rendimiento.Com a quantidade total de dados duplicando a cada dois anos, o baixo preço da computação e do armazenamento de dados tornam a adoção de análises de Big Data (BDA) desejável para as empresas, como aquelas que obterão uma vantagem competitiva. Dada a disponibilidade de software livre, por que algumas empresas não adotaram essas técnicas? Para responder a essa pergunta, estendemos a teoria unificada de adoção e uso de tecnologia (UTAUT) adaptado para o contexto do BDA, adicionando duas variáveis: resistência ao uso e risco percebido. Usamos a nível da implementação da tecnologia para dividir as empresas em usuários e não usuários de técnicas de BDA. Os modelos estruturais foram avaliados por partial least squares (PLS). Os resultados mostram que a importância de uma boa infraestrutura excede as dificuldades que as empresas enfrentam para implementá-la. Enquanto as empresas que planejam usar Big Data esperam resultados fortes, os usuários atuais são mais céticos em relação ao seu desempenho

Next Generation Evaluation: Embracing Complexity, Connectivity, and Change

This Learning Brief draws from literature and research, as well as more than a dozen interviews with foundation leaders, evaluation practitioners, and social sector thought leaders, with the intention of starting the conversation in the field around Next Generation Evaluation characteristics and approaches

Reinventing Municipal Governance: From the New Generation of Big-City Mayors

The decade of the 1990s brought to power in many American cities a new breed of mayors who have sought to reinvent municipal governance through a variety of innovations that, like the mayors themselves, defy easy partisan or ideological classification. These innovations are widely viewed as having helped to turn around such cities as Philadelphia, Cleveland, New York, and Chicago. The purpose of this paper is to explain the most notable of these innovations for possible consideration by Atlanta's incoming mayor

A third generation personality test

The development of personality testing in the workplace has undergone three phases. The first generation of tests, such as Cattell’s 16 PF and the British test OPQ, was characterized by complex systems for the description of the personality. These systems were simplified in part by the following generation of the test, which was based on the five factor model but that model was simple only at the horizontal level. Beneath the five main factors were a large number of ancillary factors, usually 30-40 in number. No tests of the first and second generation could effectively handle the problem of impression management, nor did they take into account the effects of mood on the test responses. These and a number of other problems were solved to a great extent in the UPP test, which therefore is proposed to represent the third generation of personality tests. The test features focusing on “narrow” and work-relevant traits, inclusion of a few aggregated variables with the same focus, including two variables especially fitted to the requirement of any given application, an effective and validated method for correction for impression management, extensive treatment of quality of data from each tested person to yield a “warning signal” when results should not be trusted, measurement of current mood at the time of testing which can give another “warning signal”, measurement of attitude towards the test (“face validity”), two types of narrative reports both to the person taking the test and the recruiter/psychologist – one based on normative comparisons and the other on ipsative (within-person) comparisons, measures of work related attitudes which are of value in themselves but can also be used as proxy criteria, greatly facilitating validation work.personality test; impression management; mood; face vaility; data quality

Observation of interstellar lithium in the low-metallicity Small Magellanic Cloud

The primordial abundances of light elements produced in the standard theory of Big Bang nucleosynthesis (BBN) depend only on the cosmic ratio of baryons to photons, a quantity inferred from observations of the microwave background. The predicted primordial 7Li abundance is four times that measured in the atmospheres of Galactic halo stars. This discrepancy could be caused by modification of surface lithium abundances during the stars' lifetimes or by physics beyond the Standard Model that affects early nucleosynthesis. The lithium abundance of low-metallicity gas provides an alternative constraint on the primordial abundance and cosmic evolution of lithium that is not susceptible to the in situ modifications that may affect stellar atmospheres. Here we report observations of interstellar 7Li in the low-metallicity gas of the Small Magellanic Cloud, a nearby galaxy with a quarter the Sun's metallicity. The present-day 7Li abundance of the Small Magellanic Cloud is nearly equal to the BBN predictions, severely constraining the amount of possible subsequent enrichment of the gas by stellar and cosmic-ray nucleosynthesis. Our measurements can be reconciled with standard BBN with an extremely fine-tuned depletion of stellar Li with metallicity. They are also consistent with non-standard BBN.Comment: Published in Nature. Includes main text and Supplementary Information. Replaced with final title and abstrac

Situating the Next Generation of Impact Measurement and Evaluation for Impact Investing

In taking stock of the landscape, this paper promotes a convergence of methods, building from both the impact investment and evaluation fields.The commitment of impact investors to strengthen the process of generating evidence for their social returns alongside the evidence for financial returns is a veritable game changer. But social change is a complex business and good intentions do not necessarily translate into verifiable impact.As the public sector, bilaterals, and multilaterals increasingly partner with impact investors in achieving collective impact goals, the need for strong evidence about impact becomes even more compelling. The time has come to develop new mindsets and approaches that can be widely shared and employed in ways that will advance the frontier for impact measurement and evaluation of impact investing. Each of the menu options presented in this paper can contribute to building evidence about impact. The next generation of measurement will be stronger if the full range of options comes into play and the more evaluative approaches become commonplace as means for developing evidence and testing assumptions about the processes of change from a stakeholder perspective– with a view toward context and systems.Creating and sharing evidence about impact is a key lever for contributing to greater impact, demonstrating additionality, and for building confidence among potential investors, partners and observers in this emergent industry on its path to maturation. Further, the range of measurement options offers opportunities to choose appropriate approaches that will allow data to contribute to impact management– to improve on the business model of ventures and to improve services and systems that improve conditions for people and households living in poverty.

Trusting in Change

Describes the background to a series of changes that led the foundation, beginning in 2000, to implement a new grantmaking approach

Application of Natural Language Processing to Determine User Satisfaction in Public Services

Research on customer satisfaction has increased substantially in recent years. However, the relative importance and relationships between different determinants of satisfaction remains uncertain. Moreover, quantitative studies to date tend to test for significance of pre-determined factors thought to have an influence with no scalable means to identify other causes of user satisfaction. The gaps in knowledge make it difficult to use available knowledge on user preference for public service improvement. Meanwhile, digital technology development has enabled new methods to collect user feedback, for example through online forums where users can comment freely on their experience. New tools are needed to analyze large volumes of such feedback. Use of topic models is proposed as a feasible solution to aggregate open-ended user opinions that can be easily deployed in the public sector. Generated insights can contribute to a more inclusive decision-making process in public service provision. This novel methodological approach is applied to a case of service reviews of publicly-funded primary care practices in England. Findings from the analysis of 145,000 reviews covering almost 7,700 primary care centers indicate that the quality of interactions with staff and bureaucratic exigencies are the key issues driving user satisfaction across England