Search results

The purpose of this chapter is to develop the indicators that are necessary for monitoring and controlling the efficiency of the process of implementation of information economy’s optimization model. For this, the authors used general scientific research methods – systemic, problem, structural, and functional analysis to determine the key components of balancing, along with a specific method of economics – the balance method – for determining the method of balancing of indicators.

On the basis of the complex analysis performed with the application of the above methods, the authors determined the main indicators of efficiency of the process of implementation of information economy’s optimization model essential for its successful monitoring and control. These indicators are systematized in connection to the noosphere levels and are presented in this work. The offered indicators of efficiency of the process of implementation of the information economy’s optimization model are recommended for systemic national and international monitoring and control during model implementation. The indicators for the current year, in comparison with the dynamics of previous years, could be used. The balance coefficients pose the largest value and provide the highest level of information as they reflect the results of analysis of intermediary indicators and offer information in the form that is ready for regulators. The offered indicators have to supplement the indicators used for evaluating the efficiency of economy’s formation according to the its old model.

The indicators offered in this chapter focus on the balance model of information economy, however to compile a complete picture on the progress of its formation requires consideration of the values of the indicators used within the old model.

The main aim of this paper is to establish a reasonable and scientific evaluation index system to assess the high quality and full employment (HQaFE).

This paper uses a novel Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria framework to evaluate the quality and quantity of employment, wherein the integrated weights of attributes are determined by the combined the Criteria Importance Through Inter-criteria Correlation (CRITIC) and entropy approaches.

Firstly, the gap in the Yangtze River Delta in employment quality is narrowing year by year; secondly, employment skills as well as employment supply and demand are the primary indicators that determine the HQaFE; finally, the evaluation scores are clearly hierarchical, in the order of Shanghai, Jiangsu, Zhejiang and Anhui.

A scientific and reasonable evaluation index system is constructed. A novel CRITIC-entropy-TOPSIS evaluation is proposed to make the results more objective. Some policy recommendations that can promote the achievement of HQaFE are proposed.

This paper aims to propose an integrated use of balanced scorecard (BSC), data envelopment analysis (DEA) and game theory approach as an enhanced performance measurement technique to determine and rank the importance of manufacturing indicators of a steel company as a real case study.

An efficiency change ratio is defined to examine the characteristic function of each coalition which is super-additive. Then, the Shapley value index is used as the solution of the cooperative game to determine the importance of the BSC indicators of the company and rank order them.

The results reveal that “profitability rate” is the most important BSC indicator, whereas “customer satisfaction” is the least significant one. The ranking order of the importance of all BSC indicators makes it possible for the senior managers of the organization to realize the importance of each index separately and to improve the profitability and the number of customers by presenting programs according to the budget and time constraints.

The main contribution of this paper lies in the adoption of a game theory approach to performance measurement in the industrial sector that determines and ranks the importance of manufacturing indicators.

The purpose of this paper is to assess the appropriateness of equal weights estimation (sumscores) and the application of the composite equivalence index (CEI) vis-à-vis differentiated indicator weights produced by partial least squares structural equation modeling (PLS-SEM).

The authors rely on prior literature as well as empirical illustrations and a simulation study to assess the efficacy of equal weights estimation and the CEI.

The results show that the CEI lacks discriminatory power, and its use can lead to major differences in structural model estimates, conceals measurement model issues and almost always leads to inferior out-of-sample predictive accuracy compared to differentiated weights produced by PLS-SEM.

In light of its manifold conceptual and empirical limitations, the authors advise against the use of the CEI. Its adoption and the routine use of equal weights estimation could adversely affect the validity of measurement and structural model results and understate structural model predictive accuracy. Although this study shows that the CEI is an unsuitable metric to decide between equal weights and differentiated weights, it does not propose another means for such a comparison.

The results suggest that researchers and practitioners should prefer differentiated indicator weights such as those produced by PLS-SEM over equal weights.

To the best of the authors’ knowledge, this study is the first to provide a comprehensive assessment of the CEI’s usefulness. The results provide guidance for researchers considering using equal indicator weights instead of PLS-SEM-based weighted indicators.

Cyclical fluctuations in the level and rate of growth of economic activity have long been a feature of the British economy. The ability to forecast “turning points” (peaks and troughs) in business activity is of crucial importance for changes in companies' stockholding policy, hiring policy, capital budgeting, and many other aspects of corporate appraisal.

One way to think about the future challenges is to make benchmarking analysis, where other micro or macro level organisations are compared in relation to own activities and systems. This article includes benchmarking of all the EU‐15 countries. Authors report top 15 lists of various indicators. As a general benchmarking framework, the motivation, access and skills indicators system is used. In the study the authors perform correlation analyses of competitiveness and MAS‐indicators. A special contribution of the article is that it combines competitiveness analysis to macro level MAS framework’s social indicators analysis.

The purpose of this paper is to present and analyze a case study on the design of a system of sustainable development indicators for an electric utility.

The case study is based on collaboration with an electric utility and consultation with external experts. A six‐step process was used to create the indicators: conduct a needs assessment; conduct process planning; develop a draft set of indicators; test and adjust the indicators; implement the indicators; and review and improve the indicators.

The case study demonstrates how existing projects impact the process of developing indicators. It highlights that any system of indicators must be linked to the business planning process. It shows how this may be accomplished through a design based on a hierarchical approach that also illustrates linkages between the indicators and incorporates existing measures.

The first three steps of the indicator design process have been completed. Research on the remaining three steps is ongoing.

Applying the principles of sustainable development has become an essential part of doing business. This paper illustrates how sustainable development indicators may be developed and integrated with existing business infrastructure at an electric utility.

Even in companies with strong corporate responsibility programs, a key challenge is to construct meaningful indicators that are integrated with mainstream business systems. Although it is recognized that each situation is unique, this paper provides insight into the development of indicators within existing corporate infrastructures.

The purpose of this paper is to assess to what extent the Smoking and Alcohol Drinking Behavior Survey (SADBeS), the national alcohol survey, could be used in monitoring goals and cost-effective measures suggested by the National Alcohol Strategy (NAS) issued by public health authorities in 2010.

The NAS was reviewed. Strategies, measures, and corresponding indicators were extracted. Questionnaire items used in the 2014 SADBeS were assessed in comparison with those indicators.

Four primary indicators indicate overall success of the NAS. In all, 6 out of 15 measures were in accordance with best-buy or good-buy policies – cost-effective policies suggested by the World Health Organization. After excluding indicators unlikely to be obtained from population-based surveys, the SADBeS could be used in monitoring 5 out of 14 indicators corresponding to best-buy or good-buy measures. Of 103 questionnaire items, 26.2 percent of items could be used to monitor primary indicators of the NAS; 34.0 percent could be used to estimate indicators corresponding to best-buy or good-buy measures. Overall, only 35.0 percent of questionnaire items provided useful information for monitoring primary indicators and cost-effective measures suggested in the NAS.

The SADBeS questionnaire items should be added or replaced to cover feasibly obtained indicators corresponding to best-buy or good-buy policies in the next wave of the survey.

This is the first study addressing the compatibility between the national strategy and the national alcohol survey. It also includes the overview of Thailand’s alcohol strategy, which is, to the author’s knowledge, never presented in any English articles.

Clinical governance should be based on cultural elements that value lifelong learning, skill development and research. The purpose of this paper is to introduce a set of indicators to improve educational governance in hospitals.

Key indicators were identified from the international and national literatures. Later, the indicators were rated and prioritized by a multidisciplinary panel of medical professionals using two rounds of Delphi technique. Subsequently at two consensus meetings, the panel evaluated the indicators.

A set of 51 draft indicators were identified. The expert panel members rated 28 indicators as high priority indicators for measuring educational performance of the hospitals.

This set of indicators can be used to measure the educational performance of the hospitals in identifying the gaps and take steps to resolve them.

Education and training is the basic component of clinical governance. Hospital staff education and training is a fundamental step towards organizational and individual development. To improve the educational performance at hospital level it is necessary to reliably measure such performance. This can be done through developing and using relevant indicators. There are limited systematic studies, especially in middle and low income countries, to introduce appropriate indicators. This study has investigated developing a set of indicators to measure and improve the educational performance in hospitals.

Value driven maintenance (VDM) is a fairly new maintenance management methodology based on four maintenance value drivers and the formula of net present value (NPV) to calculate the value of different maintenance strategies. However, the dependability of the engineering assets needs to be assessed in order to make an estimation of the NPV. Therefore, the purpose of this paper is to critically analyse standardised indicators to find the most essential indicators for the four value drivers and for estimation of the NPV. Terminology containing performance drivers and killers are common in the field of asset management, but not many publications can be found for their detailed descriptions. One section in this paper is therefore dedicated to review these terms. A comprehensive description and classification of performance killers and drivers, and of indicators for VDM are presented in this paper.

Review of literature for technical terminology and review of standards for identification of indicators for maintenance performance measurement and NPV of maintenance.

Common description of technical terminology, as used by researchers, and identification of the most important indicators for maintenance performance measurement and the NPV of maintenance. Indicators classified under economic, technical, organizational and health, safety and environment (HSE) perspectives from EN 15341 standards are discussed and identified.

Description of emerging terminology in maintenance performance measurement adds to the consistency in communication of researchers and business stakeholders. Also, the identified maintenance performance indicators can facilitate performance measurement of organisations new to the process of measuring and analysing their performance.