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The purpose of this paper is to propose a method for performance assessment of organizations based on integrated approach of knowledge management and safety management using data envelopment analysis, and the proposed model is then applied in the car industry in Isfahan province to be checked. Therefore, deficiencies can be highlighted and possible strategies can be evolved to improve the performance.

As data envelopment analysis is a robust mathematical tool, it has been used to evaluate organizational performance. For discovering the organizational performance of knowledge management and safety management by data envelopment analysis (DEA), the first step is to specify proper criteria. To this end, in this method, the indices in both approaches of knowledge management and safety management were identified. Then, inputs and outputs were specified. Knowledge management and safety management were determined as input indices, and customer satisfaction and accident indicators were the output indices. It is noteworthy that each output index was used one time. In the next stage, performance of organizations was assessed based on both determined approaches and via data envelopment analysis. Finally, the organizations were ranked.

The suggested method was implemented in the car industry in the Isfahan province. The obtained results disclosed that among 12 decision-making units, 4 units are efficient when customer satisfaction is the output and 5 units are efficient when accidents indices are the output. In ranking with customer satisfaction as the output, Sepahan Atlas Pump Company was ranked first via super efficiency method, data envelopment analysis and similarity to ideal solution. In ranking with accidents as the output, Sepahan Atlas Pump Company ranked first via strong efficiency method and Sanatgar Company ranked first via data envelopment analysis and similarity to ideal solution.

Knowledge has been recognized as one of the valuable resources, and knowledge management would greatly effect improvement of job quality. Knowledge level increase is led by better performance and less errors. Consequently, it can enhance the organizational health and safety. There are some studies which have been conducted on safety management or knowledge management performance analysis. The organizational performance evaluation based on integrated approach of knowledge management and safety management is an important issue which is less considered in theory and practice. Thus, the authors have proposed a method which is able to evaluate the organization based on this integrated approach with functional indices, which resulted in accurate results, and finally, ranking can show the organization status to determine proper strategies.

This paper seeks to examine a hierarchical measurement model for occupational health and safety (OHS) performance developed for use in the Australian construction industry and tested over the life of one case study construction project. The model was intended to provide a more sensitive and informative measure of project OHS performance than traditional injury frequency rates.

Two measurement tools were tested. The tools, a monthly weighted safety index and a quarterly safety climate survey, were used to measure OHS performance and performance data are presented.

The data suggest convergent validity, indicated by consistent results between the two measures. Results also indicated that a combination of measurement techniques provides more comprehensive data pertaining to project OHS performance and enables the diagnosis of OHS issues that would be undetected with reliance exclusively on traditional measures, such as lost time injury frequency rates.

The implications for future research lie in the demonstrated need to carefully evaluate the validity of the safety index and safety climate survey in future construction projects, and in the broader construction context. The results were limited to an evaluation of the measurement model in a single case study construction project and future testing is needed to determine the generalisability of the model.

The implications for practice are that multiple measures of OHS performance, including leading indicators and surveys of workers' attitudes and perceptions of project OHS, provide a more useful basis for the development of targeted OHS improvement strategies.

The paper develops a theoretical framework for the measurement of OHS using positive performance indicators and safety climate surveys. The evidence for convergent validity suggests that, in combination with traditional lost time injury rates, these measures provide a more robust method for the early detection and rectification of OHS issues in construction projects.

The purpose of this paper is to develop a framework for the safety performance measurement of belt conveyor systems.

A structural methodology of graph theory and matrix approach is used for developing a framework for safety performance measurement of belt conveyor systems.

The development of a framework for safety performance measurement of belt conveyor systems is essential for ensuring plant safety. For this, safety performance factors, including design and operating contextual factors of belt conveyor systems, are identified. The factors along with their interrelations are modeled using digraph. An equivalent matrix of the digraph provided safety performance function (SPF) of belt conveyor systems, leading to the development of a safety performance index (SPI).

The developed framework will enable the designers for evaluating and comparing alternative designs of conveyor systems from the safety viewpoint. The plant operators can make inferences from the SPI to identify the weak contextual factors in the plant and develop action plans for its mitigation.

The paper is novel and employs graph theory and matrix approach for safety performance measurement. The methodology helps in the quantitative evaluation of the safety performance of belt conveyor systems.

The purpose of this paper is to develop a quantitative comprehensive model for construction project success evaluation, from the viewpoint of a contractor company.

In this paper, the authors used a comprehensive definition of project success consisting of two components: Product success, which deals with the effect of the project's final product; and Project Management success, which focuses upon the project process. The research methodology includes five steps: identification of the critical performance indices for the two above mentioned components; quantification of the performance indices; normalization of the indices; integration of the various performance indices to develop an overall project performance function; and applying the model on a real project in Iran and analyzing the results.

This paper introduces a novel model to evaluate and measure the construction project success from the viewpoint of a contractor company. The results show that this model can be used as a reliable tool to measure the project performance of contractors and their points of strength and weakness can be determined precisely.

Analyzing the results of the case study shows that the evaluation model is absolutely applicable. All necessary elements to quantify the critical performance indices and overall project success can be recorded precisely and easily. Thus, this model can be used in every contractor company concerned about its projects’ performance.

The evaluation model proposed in this paper is a unique and comprehensive quantified model which considers difference between project success and project management success and all critical indices which can affect them.

This work affords a practical checklist that specifies the civil engineering trades-related hazards and offers a safety indicator to identify the safety level of a construction project concerning the hazards of the civil engineering trades.

The methodology depends on reviewing the archival works, visiting the construction sites, utilizing the direct observation and preliminary hazard analysis methods and conducting semistructured interviews to pinpoint and validate the checklist of the civil engineering trades-related hazards. Additionally, a questionnaire-based survey with the rank sum weight technique has been employed to assemble and analyze the data required to build the safety indicator.

Relying upon the used methodology, 70 hazards under the trades of general environment, earth, demolition, excavation, concrete, dewatering, waterproofing insulation and scaffolding have been pinpointed and validated. This is in addition to the safety level indicator of the civil engineering trades-related hazards (SLICETH), which indicates high viability during its validation in five national and international projects.

The value of this work lies in its ability to tackle the gap existing in the safety management knowledge regarding the notion of the hazards of the civil engineering trades and their influences on the safety performance of the construction projects. As a result, it offers a complete knowledge to the academics and the practitioners for confronting the negative impacts of the civil engineering trades-related hazards. Consequently, it helps in enhancing the safety performance level in the sites of the construction projects.

Concern for health, safety and environment (HSE) is increasing in many developing countries, especially in energy industries. Improving power plants efficiencies in terms of HSE issues requires considering these issues in performance assessment of power generation units. This study aims to discuss the use of data envelopment analysis methodology for the performance assessment of electrical power plants in Iran by considering HSE and conventional indicators.

Installed capacity, fuel consumption, labor cost, internal power, forced outage hours, operating hours and total power generation along with HSE indices are taken into consideration for determining the efficiency of 20 electric power plants or decision-making units (DMUs). Moreover, DMUs are ranked based on their relative efficiency scores.

Results show that HSE factors are significant in performance assessment of the power plants studied in this research, and among HSE factors, health has the most powerful impact on the efficiency of the power plants.

The approach of this study could be used for continuous improvement of combined HSE and conventional factors. It would also help managers to have better comprehension of key shaping factors in terms of HSE.

The purpose of this paper is to critically review the literature of performance measurement both in general and in the construction industry in particular. By doing so, it seeks to provide valuable insights into how to construct a comprehensive performance measurement model for the construction industry.

Based on a comprehensive literature review on performance measurement, the paper presents a critical review of the development of performance measurement, with a special focus on the construction sector. The strengths and weaknesses of most previous measurement frameworks and techniques are investigated. Performance information that each can generate is analyzed in the context of the construction industry.

The research findings showed that performance measurement studies in construction can be divided into three levels: project, organizational, and stakeholder levels. In addition, the major frameworks of performance measurement in construction were found to be: European Foundation for Quality Management excellence model, balanced scorecard model, and key performance indicators model. The most frequently applied research techniques of performance measurement in construction included: gap analysis, integrated performance index, statistical methods, and data envelopment analysis method. The performance information generated from the measurement encompasses frameworks and hierarchical indicators, and functions and score.

The research focuses on the performance measurement of construction. Further research work should be conducted to cover other industries.

The paper provides an innovative and useful approach to defining the process of performance measurement in construction, which can be of great use to both the research community and industrial practitioners.

The paper summarizes the recent performance measurement research studies in construction, integrates the whole process of the performance measurement, and offers useful insights into future areas of research in this field.

Given the cruciality of construction workers' safe behaviors, the possible influential factors on workers' behaviors should be studied, and one of these factors is characteristics. The authors identified emotional intelligence (EI), motivation and job burnout as characteristics that might affect a worker's safety behavior, and the aim of this study is to investigate these possible relationships.

Workers' EI, motivation and job burnout status were assessed by a structured interview. Furthermore, workers' safety behaviors were assessed by a checklist derived from national codes, regulations and other research studies. Then, the researcher's observations took place, and the data were acquired.

EI and motivation of workers were able to predict safety behaviors, and the effect of job burnout on safety behaviors was not significant. In addition, motivation's influence on job burnout was not significant. Therefore, in order to promote safety behaviors, the EI and motivation of workers need to be taken into consideration.

The results indicate why construction managers should consider the workers' EI and motivation competencies and how this consideration could lead to safer and better performance in construction projects.

The possible effects of EI, motivation and job burnout on the safety behaviors of construction workers haven't been paid enough attention. Moreover, the authors couldn't find a study similar to the present one that was conducted in Iran. Also, an original model was presented, and safety behaviors were studied through fieldwork rather than using questionnaires.

The purpose of this paper is to study the performance of transportation infrastructure of Thailand. A set of performance indicators of Thailand’s transportation infrastructure is proposed and gathered. The relationship between existing transportation infrastructure performance and Thailand’s economy is investigated.

The framework for determining Transportation Infrastructure Performance Index (TPI), proposed by the US Chamber of Commerce, is adapted for assessing the efficiency of Thailand’s transportation infrastructure. The analytical hierarchy process is employed in the process of constructing Thailand TPI. The relationship between TPI and Thailand’s economic growth is examined using multiple regression analysis.

The performance of Thailand’s transportation infrastructure had been continuously increased from 19.69 in 2005 to 61.52 in 2010. Great emphasis on improvement of the transportation infrastructure system should be placed as an increase in one unit of TPI results in the improvement by Baht449.420 of Thailand’s GDP per capita.

The most critical issue arisen in the data collection process is the unavailability of data for some indicators in the TPI framework. Consequently, some indicators that contain insufficient data were excluded.

The proposed set of indicators is practical and instrumental in assessing the transportation infrastructure performance of Thailand, and investigating its relationship with the economy.

This research proposes a framework for quantifying the performance of transportation infrastructure, and develops the first national composite index to account for the overall performance.