To what extent do currently accepted for-profit new project development success factors apply in the small nonprofit context in the UK?

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Nonprofit leaders and for-profit entrepreneurs:similar people with different motivation

Today's market conditions require nonprofit leaders to act in an increasingly business-like fashion. This study asks whether NPO leaders have a similar disposition to act entrepreneurially as for-profit entrepreneurs, but hold different underlying motives. For this purpose, the study contrasts a sample of 72 leaders of nonprofit organizations with 117 entrepreneurs on their personality traits and explicit motives using standard personality tests and interviews. Both groups exhibit similar general and entrepreneurship-specific personality traits but differ significantly regarding their motivation. While nonprofit leaders' motivation stems primarily from the meaningfulness of their work; entrepreneurs are mainly motivated by the independence as well as by the income and profit provided by their work. This paper helps us understand who leaders of nonprofit organizations are.

Optimising market share and profit margin:SMDP-based tariff pricing under the smart grid paradigm

Smart grid technologies have given rise to a liberalised and decentralised electricity market, enabling energy providers and retailers to have a better understanding of the demand side and its response to pricing signals. This paper puts forward a reinforcement-learning-powered tool aiding an electricity retailer to define the tariff prices it offers, in a bid to optimise its retail strategy. In a competitive market, an energy retailer aims to simultaneously increase the number of contracted customers and its profit margin. We have abstracted the problem of deciding on a tariff price as faced by a retailer, as a semi-Markov decision problem (SMDP). A hierarchical reinforcement learning approach, MaxQ value function decomposition, is applied to solve the SMDP through interactions with the market. To evaluate our trading strategy, we developed a retailer agent (termed AstonTAC) that uses the proposed SMDP framework to act in an open multi-agent simulation environment, the Power Trading Agent Competition (Power TAC). An evaluation and analysis of the 2013 Power TAC finals show that AstonTAC successfully selects sell prices that attract as many customers as necessary to maximise the profit margin. Moreover, during the competition, AstonTAC was the only retailer agent performing well across all retail market settings.

Profit, productivity and price performance changes in the water and sewerage industry:an empirical application for England and Wales

This paper aims to analyse the impact of regulation in the financial performance of the Water and Sewerage companies (WaSCs) in England and Wales over the period 1991–2008. In doing so, a panel index approach is applied across WaSCs over time to decompose unit-specific index number-based profitability growth as a function of the profitability, productivity and price performance growth achieved by benchmark firms, and the catch up to the benchmark firm achieved by less productive firms. The results indicated that after 2000 there is a steady decline in average price performance, while productivity improves resulting in a relatively stable economic profitability. It is suggested that the English and Welsh water regulator is now more focused on passing productivity benefits to consumers, and maintaining stable profitability than it was in earlier regulatory periods. This technique is of great interest for regulators to evaluate the effectiveness of regulation and companies to identify the determinants of profit change and improve future performance, even if sample sizes are limited.