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Aims to provide a new wireless design for utility management and billing systems using GSM networks that can be used by large utility sites.

Traditional energy and water meters are replaced or enhanced to produce digital readings. A hardware interface is designed and then connected via the GSM network to a server at the utility headquarters. The new system is compared with traditional utility systems.

A prototype for the proposed systems was implemented. It was tested using a real GSM network in the United Arab Emirates. The performance of the systems was acceptable, with high accuracy results when compared with the existing systems.

Applying the system in large buildings with multiple subscribers is not a straightforward task; the system may need some modifications.

This is a very useful system for utility companies which are interested in better management and billing systems. The system can be implemented easily at low cost.

This work utilizes a mobile network to provide a practical system for utility companies. It is an integrated system with complete hardware, software, and database implementation.

In a multi-stakeholder recommender system (MSRS), stakeholders are the multiple entities (consumer, producer, system, etc.) benefited by the generated recommendations. Traditionally, the exclusive focus on only a single stakeholders' (for example, only consumer or end-user) preferences obscured the welfare of the others. Two major challenges are encountered while incorporating the multiple stakeholders' perspectives in MSRS: designing a dedicated utility function for each stakeholder and optimizing their utility without hurting others. This paper proposes multiple utility functions for different stakeholders and optimizes these functions for generating balanced, personalized recommendations for each stakeholder.

The proposed methodology considers four valid stakeholders user, producer, cast and recommender system from the multi-stakeholder recommender setting and builds dedicated utility functions. The utility function for users incorporates enhanced side-information-based similarity computation for utility count. Similarly, to improve the utility gain, the authors design new utility functions for producer, star-cast and system to incorporate long-tail and diverse items in the recommendation list. Next, to balance the utility gain and generate the trade-off recommendation solution, the authors perform the evolutionary optimization of the conflicting utility functions using NSGA-II. Experimental evaluation and comparison are conducted over three benchmark data sets.

The authors observed 19.70% of average enhancement in utility gain with improved mean precision, diversity and novelty. Exposure, hit, reach and target reach metrics are substantially improved.

A new approach considers four stakeholders simultaneously with their respective utility functions and establishes the trade-off recommendation solution between conflicting utilities of the stakeholders.

To rigorously examine success and failure in the use of small scale technologies for rural electrification.

Semi‐structured primary field interviews plus secondary sources.

Business model differences and influence of institutions important are important for understanding success and failure in rural electrification and the contribution rural electrification can play in rural development.

Data on the entire universe of distributed electrification efforts are unavailable. This highlights the need for better documentation of energy activities in rural areas.

The development of new policies to guide rural electrification towards more sustainable and development enhancing outcomes.

Prior studies have taken an ad hoc approach to study previous projects and suffer from case selection bias since their scope is limited in geography (one country, region or even village), technology (only PV or only wind or only renewables), or end‐use (household electrification and productive uses). This study proposes a clear set of independent and dependent (as well as control) variables and looks across a range of cases to draw conclusions.

Purpose — The overall quality of an information retrieval system depends on many different aspects of the system and its users' information seeking behaviour, such as the speed of the system, the user interface, the query language and the features provided by the engine. One of the most important aspects is the effectiveness of the retrieval system, i.e. its ability to retrieve items that are relevant to the information need of an end user. This chapter focuses on methods for measuring effectiveness, in particular focusing on recent work that more directly models the utility of an engine to its users.

Methodology/approach — We discuss traditional approaches to effectiveness evaluation based on test collections, then transition to approaches based on test collections along with explicit models of user interaction with search results. We contrast this with approaches for which the user is ‘in the loop’, such as user studies and online evaluations.

Research limitations/implications — If it were possible to model users perfectly, we could directly estimate the utility of a search engine to its users; this would undoubtedly have a transformative effect on information retrieval and web search research. In practice, this goal will never be achievable because users exhibit far too much variability in how they approach the search engine, and furthermore provide valuable feedback that models and simulations cannot provide. Nevertheless, better models of user interaction will help develop better web search engines for a wider variety of tasks more rapidly.

Originality/value of paper — This is the first work that surveys recent work on user model-based evaluation and places it in a context with traditional evaluation based on the Cranfield paradigm.

The purpose of this paper is to: explore major and potential challenges facing healthcare facilities operation specifically those related to utility supplies; and quantify the impact of utility supplies interruption on the operation of healthcare facilities through the development of an estimation model.

A pluralistic qualitative and quantitative research approach benefiting from an online computer program that applies the discriminant function analysis approach. Information was collected from 66 hospitals following three major earthquakes that struck northeast Japan in 2003.

Analysis demonstrated that healthcare utilities face three major challenges: vulnerability of infrastructure to natural hazards; low performance of alternative sources; and lack of consideration of healthcare utility supplies in resilience codes and legislations. The study also proposed a method to estimate the impact of utility interruption of healthcare facilities. A model has been developed for the case study hospitals in Northern Japan following three major earthquakes in 2003.

The findings are expected to raise the awareness of the critical role utilities play for the operation of healthcare facilities which will potentially lead to upgrading resilience codes and legislations. The findings are also expected to pool the literature with more information about the resilience of healthcare utility publications.

The topic and issues discussed in this research are original based on authors’ investigations following three major earthquakes that took place in northeast Japan. The study followed a statistical approach in addressing the inter-relationship between the utility systems post disasters to develop an innovative unique index to predict the impact of utility shortage on healthcare.

Evaluating information systems has proven to be a most difficult task. Methodologies of analytical frameworks for evaluating information systems can be placed into four categories:

The purpose of this paper is to demonstrate how a systems approach can be used to facilitate the development of an organizational performance measurement system.

Based on a review of the literature, the paper introduces the implications for applying a systems approach to organizational performance measurement. To demonstrate the transition from theory to practice, a case study is provided to show how a sustainable development performance measurement system was developed at a Canadian electric utility. The case study involved extensive consultation with over 25 experts.

The paper finds that a systems approach is useful in developing the process and that a set of formal systems criteria is useful in developing the structure and content of a performance measurement system. These concepts are highlighted throughout the case study example.

The case study section was based on findings from a single organization. Further work is required to validate the findings within other organizations.

The paper shows how a robust sustainable development performance measurement system may be developed at an electric utility. The overarching emphasis on integration of the system with the case utility's mainstream initiatives demonstrates that a performance measurement system must build on what the organization already has in place. The systems‐based approach and formal systems criteria used in the paper may be transferable to other organizations.

The paper shows that a systems approach provides both the structure and flexibility needed to guide the design, implementation, and evolution of a sustainable development performance measurement system within existing organizational infrastructure.

This paper aims to study the corresponding optimal service strategies and pricing in the styled non-preemptive M/M/1 service systems from different objectives, which consider both heterogeneous waiting costs of customers and service values in customer segmentation.

In this paper, the authors consider two service situations where customers cannot leave the service system (i.e. monopoly service system) and customers can leave the service system freely (i.e. non-monopoly service system), respectively. The authors study the following four different perspectives that are revenue, social welfare, social cost and utility of customers. The authors first build up a new model, then propose the related objective functions. Further, the authors optimize the corresponding functions and achieve the optimal results. Later, the authors propose the corresponding optimal strategies. Finally, the authors use a practical numerical case to verify the proposed results.

The results of this paper indicates that the service provider should adopt classification services to gain the maximum revenue, the maximum social welfare and the minimum social costs by charging a priority fee in above two service systems. However, the service provider should cancel customer classification and keep regular customer only to obtain maximum utility. In the monopoly service system, both the optimal proportion priority customers and the revenue decrease with the increasing of the service rate, while in a non-monopoly service system, both of them are increasing with the service rate improving.

This paper first considers both heterogeneity of service values and waiting costs in queuing system, then the author set up a new model based on this assumption. Moreover, the authors draw the corresponding management insights based on the optimal results, which were unavailable before.

Suppose that an isolated colonist has just reaped his grain crop. The yield is five full sacks. He destines each sack for a specific purpose: the first sackful of grain must serve him to survive, the second one to keep him in full strength, the third will serve as fodder for his poultry, enabling him to enrich his diet with meat. He plans to use the fourth for distilling corn brandy, a luxury to him. For lack of better he destines the fifth sackful of grain for feeding his parrots: their antics amuse him. So, unmistakably, the five uses are of diminishing importance to him.

States that a major problem in dealing with information‐systems reliability is the design of a metric that combines the customer’s needs and preferences with the technical specifications and modular reliability of information systems. Develops one such metric, combining the customer’s requirements and utility with the technical structure of the system. The result is a single metric that can be used for tracking the performance of an information system and as an early signal of the system’s persistent malfunction and low quality of service. This metric can also contribute to the continuous improvement of system reliability by identifying the components whose improved reliability could make the most significant contribution to the overall reliability of the system.