The key factors for success in corporate fundraising

From the author's basic model on how charities should approach companies, ‘The Company as a Resource’, this paper offers a further and more detailed framework to encompass the major factors that must be identified, considered and developed to ensure success towards the year 2000 in the field of corporate fundraising. By breaking down the general environment and relating key success factors to different elements he offers practical advice and guidance for developing this area.     

The success and future of gender-specific fundraising propositions

Men and women use language very differently in conversation. They also use different types of information, presented in different ways, to make decisions. And yet in a targeted appeal for support, which is essentially a proposition providing information and seeking a positive decision, no account is taken by charities of the gender of the recipient. This paper argues that all appeals will, in the matter of a few years, be written in gender-specific style, and cites focus-group research and a recent direct mail test (producing an 85 per cent uplift in response), as well as extensive literature on the use of language by the sexes, to support this argument.     

Using data in legacy fundraising: a practical approach

• Legacies provide a major source of income to charities, and their importance is only likely to increase with the passing on of the baby-boomer generation. Legacy fundraising is a long-term process, based on developing relationships with donors over time. Data have a key role to play in the development of these relationships, allowing legacy fundraisers to measure and track their donors, and to contribute to the development of effective fundraising strategies. This paper discusses the effective collection and use of data in legacy fundraising, from consolidating data, to analysing the results and building legacy targeting models. The authors discuss how these principles have been applied in UK-based charity, Help the Aged, in conjunction with their Data Agency, Tangible Data (formerly Talking Numbers) and to give practical advice on how they may be implemented in other organisations.

Copyright © 2009 John Wiley & Sons, Ltd.     

Description, modelling and forecasting of data with optimal wavelets

Cascade processes have been used to model many different self-similar systems, as they are able to accurately describe most of their global statistical properties. The so-called optimal wavelet basis allows to achieve a geometrical representation of the cascade process-named microcanonical cascade- that describes the behavior of local quantities and thus it helps to reveal the underlying dynamics of the system. In this context, we study the benefits of using the optimal wavelet in contrast to other wavelets when used to define cascade variables, and we provide an optimality degree estimator that is appropriate to determine the closest-to-optimal wavelet in real data. Particularizing the analysis to stock market series, we show that they can be represented by microcanonical cascades in both the logarithm of the price and the volatility. Also, as a promising application in forecasting, we derive the distribution of the value of next point of the series conditioned to the knowledge of past points and the cascade structure, i.e., the stochastic kernel of the cascade process.     

Working with and recruiting volunteers as part of a fundraising strategy

This paper was first written for the Henry Stewart Conference ‘Maximising and Developing Regional and Local Fundraising’ on 16th April, 1991. The paper provides an overview of two key areas: recruitment of volunteers, and a more general element often forgotten in the volunteer process, yet absolutely critical, motivation and retention through recognition. This is illustrated through the case study of RNIB regional fundraising.     

Non‐Gaussian dynamic Bayesian modelling for panel data

A first order autoregressive non‐Gaussian model for analysing panel data is proposed. The main feature is that the model is able to accommodate fat tails and also skewness, thus allowing for outliers and asymmetries. The modelling approach is designed to gain sufficient flexibility, without sacrificing interpretability and computational ease. The model incorporates individual effects and covariates and we pay specific attention to the elicitation of the prior. As the prior structure chosen is not proper, we derive conditions for the existence of the posterior. By considering a model with individual dynamic parameters we are also able to formally test whether the dynamic behaviour is common to all units in the panel. The methodology is illustrated with two applications involving earnings data and one on growth of countries. Copyright © 2009 John Wiley & Sons, Ltd.     

Studying co-movements in large multivariate data prior to multivariate modelling

For non-stationary vector autoregressive models (VAR hereafter, or VAR with moving average, VARMA hereafter), we show that the presence of common cyclical features or cointegration leads to a reduction of the order of the implied univariate autoregressive-integrated-moving average (ARIMA hereafter) models. This finding can explain why we identify parsimonious univariate ARIMA models in applied research although VAR models of typical order and dimension used in macroeconometrics imply non-parsimonious univariate ARIMA representations.     

Repeat tourism in Uruguay: modelling truncated distributions of count data

This paper studies the determinants of repeat visiting in Uruguay, where loyal visitors are a relevant part of the total. From a statistical point of view, the number of times a visitor has been to a place constitutes count data. In this regard available information on Uruguay presents relevant limitations. Count data is in fact reported only for those who visited the country up to five times, whereas records about the most frequent visitors are collapsed into one residual category. This implies that the classic models for count data such as Poisson or negative binomial cannot be put into consideration. The paper suggests instead modelling the available part of the empirical distribution through quantile count data regression. It is a model based on measures of location rather than mean values, which allows estimating tourists’ behaviour as the number of visits increases. A set of explanatory variables related to budgetary constraints, socioeconomic, trip-related and psychographic characteristics are taken as regressors to the considered count data.     

Celebrity altruism: the good,the bad and the ugly in relationships with fundraising charities

• Enlisting or retaining the support of celebrity volunteers is a crucial element in the fundraising and communications strategies for many third sector organisations. But whilst there is a plethora of literature on volunteer motivations, there has been little exploration of the relationships between celebrity volunteers and the charities that they support. Furthermore, the limited theory that exists appears to be based on the experiences of fundraisers and other media specialists with little primary research on attitudes of celebrities themselves. This paper therefore considers celebrity/charity relationships on the basis of existing volunteer motivation theory and attitudinal data from a sample of 208 celebrity volunteers associated with a major fundraising charity in the UK. The findings indicate that the motivation of celebrity volunteers may be much closer to those of other charity volunteers than might be expected from other literature on celebrities. In addition, the study found that amongst other factors, celebrity volunteers typically prefer their engagements to be simplistic and expedient in nature, but that where possible, the engagement activity should be fun and rewarding. It also reveals that individual motives for supporting charities are varied in nature and range from purely altruistic tendencies at one end of the continuum to egoistic motives at the other. In addition, the study indicates that factors such as security and trust in the endorsed organisation are a key motivating factor for many.

Copyright © 2014 John Wiley & Sons, Ltd.     

Continuous-time modelling of irregularly spaced panel data using a cubic spline model

Continuous-time modelling remains a somewhat 'idealized' representation tool. Even though conceptualizing a dynamic process as a continuous process has clear appeal from a theoretical standpoint, practical tools that allow researchers to effectively map an idealized continuous model onto a set of discrete-time observed data are still lacking observed data. Irregularly spaced longitudinal data frequently arise in empirical settings because of the prevalence of longitudinal studies with partially randomized measurement intervals and other related designs. We present a practical approach that capitalizes on a nonparametric spline interpolation approach to impute the gaps in irregularly spaced panel data. Simulated and empirical examples are provided to demonstrate the applicability of the proposed approach to studies of group-based dynamics using panel data.     

Econometric modelling with non-normal disturbances

This paper analyzes a general class of non-normal density functions (dubbed Sargan densities) in the context of the ordinary regression model and the simple one-market disequilibrium model. Use of the normal density in disequilibrium models is unwieldy, especially for multimarket models, since the application of maximum likelihood methods requires numerical evaluation of multiple integrals. These difficulties are avoided with the Sargan densities, and based on both asymptotic results and limited sampling experiments, these densities appear to offer a promising alternative to the normal in disequilibrium models.     

Developing a children's rights approach to fundraising with children in primary schools and the ethics of cultivating philanthropic citizenship

Fundraising literature predominantly focuses on adult donors, with limited literature addressing younger donors, particularly children, and virtually no discussion on the normative ethics which inform fundraising with children. Addressing this gap, this article examines the ethical dilemmas posed by the mainstreaming of charity fundraising in primary schools. Regardless of high levels of participation, research with primary school pupils shows that children's engagement in fundraising activities is often passive, with little decision making afforded to children. First, we question the ethics of passively engaging children in the fundraising relationship. Second, we question the role of fundraising more broadly in helping to cultivate children's philanthropic citizenship, suggesting that current fundraising mechanisms in schools are counter-intuitive to fostering long-term philanthropic engagement. We argue that by critically engaging children in the process of giving, children develop a deeper understanding of the cause areas that matter to them, which cultivates a longer-term commitment to philanthropy. This is potentially a different goal than that of many organisations involving schools in fundraising, where the focus is on incentivising transactional fundraising efforts aiming to raise as much money as possible and thus raises particular ethical challenges which must be considered. In this paper we draw on previous research and established frameworks for understanding philanthropic behaviour to explore the ethical challenges of fundraising with children in schools and present a pathway towards a more child-led, children's rights approach to fundraising in primary schools.     

Break through to success with training and teamwork

This is a case study on the effect of training and teamwork in two different divisions within the same company. One division consisted of a nonunion manufacturing plant; the second was a unionized distribution operation. In both operations, serious problems existed--poor customer service levels, inadequate inventory turns, and insufficient profitability. These are the kinds of problems that, left untreated, can cause the death of any manufacturing or distribution operation. However, by implementing training and teamwork at both operations, impressive benefits were achieved, including customer service levels exceeding 90 percent, dramatic improvements in the inventory turnover rate, and profitability that exceeded corporate goals.     

Is fundraising with a tailor-made information system effective?: The Insead experience with CAFE — the major gifts tracking system

The purpose of this article is to describe INSEAD'S major gift-tracking system, the rationale for the Dean's decision for a tailor-made system, and the outcome of this choice.     

建设泉城特色 促进济南发展

文章分析了泉城特色的含义、属性、主要内容。按照经营城市的观点,对建设泉城特色与促进济南社会经济发展的关系进行阐述。     

Contest success function with the possibility of a draw: Axiomatization

In imperfectly discriminating contests the contestants contribute effort to win a prize but the highest contributed effort does not necessarily secure a win. The contest success function (CSF) is the technology that translates an individual's effort into his or her probability of winning. This paper provides an axiomatization of CSF when there is the possibility of a draw (the sum of winning probabilities across all contestants does not add up to one).