Evaluating the triple bottom line in the implementation of photovoltaic systems in UK social housing

The Intergovernmental Panel on Climate Change warnings regarding the detrimental effects of carbon dioxide emissions and global warming have gained acceptance amongst many governments (IPCC 2001). The UK government has agreed to reduce emissions, implement a package of enabling measures (UKCCP 2000) and issued an Energy White Paper (HMSO 2003) calling for a diversification of energy supply policies which will include renewable sources.

Housing accounts for approximately 25% of UK CO2 emissions and as providers of social housing, Registered Social Landlords (RSLs) and their tenants are major contributors. RSLs are deliverers of national policy in several areas and contribute to the attainment of governmental environmental, social and economic targets and impact upon the wider demands of housing policy, healthcare, education and law & order (DETR 1999, Cole and Shayer 1998).

Photovoltaic (PV) electricity generation could deliver “free” electricity to the low income households historically housed by RSLs. PV helps address such issues as fuel poverty and could be used as a stimulus for creating interest in areas of low demand for social housing.

RSLs provide housing solutions which cross traditional economic, social and environmental divides and this lends their modus operandi to the concept of the triple bottom line. The triple bottom line enables social and environmental aspects to be considered alongside economic considerations within decision-making frameworks (Elkington 1999, Andreason 1995).

Using a qualitative research methodology, this paper assesses current commercial viability of PV installations on RSL developments and identifies key barriers to implementation. The paper also investigates whether the application of the triple bottom line can liberate RSLs from viewing PV as a non-viable option by enabling a greater emphasis to be placed on the social & environmental aspects of PV. The paper considers whether a framework for RSLs to improve their decision-making processes by embracing social & environmental factors is feasible.

Study of the dimensions that relate to the effectiveness of training systems : a systems approach

The purpose of this thesis is to explore dimensions that relate to the training systems effectiveness in a number of industry categories. The training system is taken as part of the reproducer boundary subsystem within the organisation (Miller 1978). The research has been developed on the assumption that no single criterion is appropriate as a measure of effectiveness of a training system (Campbell et al 1970). An index of criteria based on the different organisational variables that interact within an organisation is employed in the development of the study. In this research the structural variables (independent variables) including industry category, size and formalisation factors of the sample organisations will be related to the effectiveness of training systems in their organisations. This research attempts to formulate hypotheses in the field of training system research to contribute to a theory of training system impact studies. The popular areas of research in the field of training have mainly tended to focus separately on the effectiveness of training programmes, the economics of training, the social impact of training and the dynamics of training. To my knowledge there is no research work that tests the relationship between structure and the effectiveness of training systems.

Critical success factors for the requirements engineering process, with reference to quality management of information systems development

Preliminary research into the critical factors associated with software development/implementation identified three dimensions for successful implementation based on alignment of the requirements engineering process with business needs, change management process and quality of the implementation process. Research results demonstrate the link between the conceptual model for process quality and the process management attributes determined during the research.

The use of control systems in new product development innovation : advancing the 'help or hinder' debate

New Product Development (NPD) innovation is a critical activity in the current economic environment. In order to manage their NPD innovation projects, firms use Management Controls Systems (MCS). However, the effect that these systems have on NPD innovation is not clear. One stream of research suggests that MCS help NPD innovation while another stream suggests MCS hinder NPD innovation. Past research has shown that the role and style of MCS used may offer explanations on why MCS can both help and hinder NPD innovation. This paper adds another explanation by examining the relationship between three models (divisional, activity/decision and conversion/response) of a commonly used MCS, known as the Stage-Gate Process1 in the NPD innovation literature, and three types of NPD innovation projects (incremental, semi-radical and radical). The insights from an ethnomethodology informed field study are used to understand how and why the firms may use a different MCS (Stage-Gate Process models) for different NPD innovation project types.

Identification of nonlinear systems using hybrid functions

Most real systems have nonlinear behavior and thus model linearization may not produce an accurate representation of them. This paper presents a method based on hybrid functions to identify the parameters of nonlinear real systems. A hybrid function is a combination of two groups of orthogonal functions: piecewise orthogonal functions (e.g. Block-Pulse) and continuous orthogonal functions (e.g. Legendre polynomials). These functions are completed with an operational matrix of integration and a product matrix. Therefore, it is possible to convert nonlinear differential and integration equations into algebraic equations. After mathematical manipulation, the unknown linear and nonlinear parameters are identified. As an example, a mechanical system with single degree of freedom is simulated using the proposed method and the results are compared against those of an existing approach.

Factors influencing the implementation of information systems security strategies in organisations

Many organizations still rely on deterrence to control insider threats and on purely preventive strategies to control outsider threats. Such a simple approach to organizational information security is no longer viable given the increasing operational sophistication of current security threat agents and the complexity of information technology infrastructure. Effective implementation of security requires organizations to select a combination of strategies that work in tandem and best suits their security situation. This paper addresses the identification and classification of factors that influence implementation of security strategies in organizations. In this paper, we develop a preliminary architecture that aims to assist organizations in deciding how strategies can be designed to complement each other to improve the cost-effectiveness of security.

Beyond Simon’s means-ends analysis : natural creativity and the unanswered ‘why’ in the design of intelligent systems for problem-solving

Goal-directed problem solving as originally advocated by Herbert Simon’s means-ends analysis model has primarily shaped the course of design research on artificially intelligent systems for problem-solving. We contend that there is a definite disregard of a key phase within the overall design process that in fact logically precedes the actual problem solving phase. While systems designers have traditionally been obsessed with goal-directed problem solving, the basic determinants of the ultimate desired goal state still remain to be fully understood or categorically defined. We propose a rational framework built on a set of logically interconnected conjectures to specifically recognize this neglected phase in the overall design process of intelligent systems for practical problem-solving applications.

Leader-follower consensus control of a class of nonholonomic systems

In this paper, we propose a systematic solution to the leader-follower consensus of a class of nonholonomic chained form systems. The control design, which is reminiscent of terminal sliding mode and multi-surface sliding mode control methods, is presented to guarantee the convergence of multiple sliding surfaces, which also implies the convergence of the proposed consensus error function. On these sliding surfaces, the desired leader-follower consensus can be reached for multi-agent network formed by the nonholonomic chained form systems.