How much are new donors worth? Making donor recruitment investment decisions based on lifetime value analysis

Donor lifetime value analysis can be an extremely powerful tool in not‐for‐profit marketing. Many organisations are yet to use this tool to its full value because of practical difficulties with definition and implementation. This paper outlines how Sight Savers International has defined lifetime value and the limitations and problems that needed to be overcome to use the technique effectively as a means of informing decisions about new donor recruitment. The paper introduces the concept of time‐based lifetime value and how it can be developed to measure return on investment of each type of donor recruitment activity. The results of the analysis as applied to Sight Savers are shown; these reveal that some current assumptions, such as that which says cold direct mail produces the best donor lifetime value, may need revising. Copyright © 2000 Henry Stewart Publications     

Exploring the impact of innovation strategy on R&D employees’ job satisfaction: A mathematical model and empirical research

This study develops a mathematical model to examine the effect of innovation strategy on R&D employee’s job satisfaction and to identify the optimal guidelines of innovation strategy, with conflict and organization performance being treated as the intermediary variables. The study further conducts an empirical survey to illustrate the contributions of this mathematical model. The results indicate that the product innovation has a greater influence on organizational performance, while the process innovation has a greater influence on conflict resolution among R&D employees. The mathematical and empirical results have provided an optimal guideline for determining the allocation of resources, which suggests that firms must focus on product innovation to gain the optimal R&D employee’s job satisfaction. In addition, the types of innovation policies along with rivals’ attitudes influence the advantages to be taken from a firm innovation strategy.     

How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?—An empirical research based on the fsQCA method

Urban agglomeration impacts the electricity efficiency of resource-based cities. Under the background, the paths that lead to high level electricity efficiency are not clear. Therefore, it is difficult to guide the socio-economic planning. This paper assumes that the influence of urban agglomeration includes agglomeration and diffusion effect. Then, this paper uses fuzzy-set qualitative comparative analysis (fsQCA) to explore the paths lead to high-level electricity efficiency. The process includes the measurement of electricity efficiency, the selection and quantification of action conditions, and path analysis. Four main conclusions are obtained. First, the positive impact of urban agglomeration on the electricity efficiency of resource-based cities is achieved through the optimal allocation of regional resources. Second, compared with the paths under diffusion effect, the paths under agglomeration effect are more diversified. Third, the effects of two kinds of paths are obvious: the agglomeration of non-resource-based industries to central cities and the diffusion of green production from central cities. Fourth, the diffusion of green production depends on the sustainability of resource-based cities. The research conclusion can improve the energy and sustainability policies of urban agglomerations and resource-based cities, and the improved policies will improve the efficiency of regional resource allocation and will promote the electricity efficiency and sustainability of resource-based cities.     

How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level

Although significant progress has been made in China's basic research in recent years, there remains a wide gap between research in China and that from developed countries. How to optimize the allocative efficiency of research resources is of great importance for increasing research output. In this paper, using the fixed effect stochastic frontier model based on the translog production function, we estimate output and substitution elasticities of research and development (R&D) inputs at universities in China's provincial level during 2009–2016. We find that the R&D technical efficiency of China's universities, after a rapid growth, has tended to become relatively stable. Improvements of internationalization degree and exogenous R&D capabilities are conducive to promoting R&D technical efficiency, whereas expenditures from government grants inhibit the promotion of R&D technical efficiency; the effects of R&D capital deepening and internet penetration are not evident. The output elasticity of R&D capital is much higher than that of R&D personnel, suggesting that R&D capital is the main driving force of research output. The substitution elasticity between R&D capital and personnel has experienced a change from substitution to complementary since 2014. To realize sustained growth of research output, we should increase R&D input with positive output elasticity or reduce R&D input with negative output elasticity, making the necessary trade-offs according to the substitution relationship between the two R&D inputs.     

How do performance feedback characteristics influence recipients’ reactions? A state-of-the-art review on feedback source,timing, and valence effects

One of the most important measures to stimulate individual performance is feedback, whose effectiveness highly depends on underlying feedback characteristics. Although an extensive body of research has stressed its importance, a conclusive overall picture on feedback characteristics effects is missing. However, synthesized knowledge is important when one is willing to implement feedback systems to effectively influence recipients’ reactions. To address this issue, we organize and summarize the findings regarding the main effects of feedback source, feedback timing, and feedback valence as well as regarding their interactions with the source, message, task, and recipients’ individual characteristics from different disciplines. Based on an analysis of 64 empirical articles, we show that main effects have been considered very context-specific and are often inconsistent, while the occurrence of certain source, message, task, and individual characteristics even inverts the generally assumed main relationships. Based on an extract of our findings, we provide specific research propositions and offer avenues for future research, which will be of value for researchers and feedback-providing practitioners.     

How does public participation affect perceptions of public–private partnerships? A citizens’ view on push,pull, and network approaches in PPPs

ABSTRACT

In this study, we analysed US-based public opinion data to determine the influence of particular modes of participation on citizen perceptions of public–private partnerships (PPP). Our summary finding is that information dissemination can improve community support of PPPs, but interactive engagement is more important, and likely required, for assuring citizens that projects reflect their interests – an issue vital to the long-term sustainability of PPPs. Counter to expectations, respondents indicated a preference for meetings with private partner representatives over those with their public sector counterparts; implying the value of citizen-direct relationships in holding third-party providers to account.