Search results

The purpose of this paper is to overview the academic literature on benchmarking of best practices tracking the most important articles and understanding the similarity between studies.

The most relevant articles were identified using techniques such as the PageRank algorithm and co-citation maps. An analysis of the most relevant articles presents the main concepts, methods and updated discussions on this research field.

The analysis of academic output substantiates the increase in the production of articles on this research topic. There were identified two main clusters of co-cited articles, one related to data envelopment analysis (DEA) and other that presents a wide variation of methods for benchmarking. There are important critiques towards the past research on benchmarking of best practices, yet, new DEA approaches seem to address most of the criticized issues.

From time to time, a review of the literature of a certain field of knowledge is useful for other researchers to identify and organize its main theories, new trends, most relevant works, influent authors and important publications.

This paper delivers two important values: the updated discussion on benchmarking of best practices, clearing both DEA and non-DEA studies; and the methods adopted to systematically review the literature, which is original on this field of research.

The purpose of this paper is to develop a method to compare supply chains (SCs) of an industry in the scope of supplier's supplier to customer's customer.

The proposed method is based on five processes provided in SCOR model version 9.0 (plan, source, make, deliver and return) and main business stages of the industry. It uses Data Envelopment Analysis (DEA) and PROMETHEE II, a multiple criteria decision‐making technique, as tools to compare SCs in the process level, business stage level and SC level. Therefore, the method is basically a new combination of existing models and methods including SCOR model, DEA and PROMETHEE II. To show the applicability and strength of the method in comparing SCs, it has been implemented in the seven SCs of the Iran broiler industry as a case study.

Comparing SCs of an industry via the proposed method results in process benchmarking, business stage benchmarking and SCs ranking in the scope of supplier's supplier to customer's customer.

The suggested method provides realistic and attainable information for SCs' owner/managers to find out the strengths and weaknesses of their SCs and improve their performance by process benchmarking and business stage benchmarking. Also they could identify their competitive position in the industry by SCs ranking.

The purpose of this paper is to develop an effective approach to decide design details using benchmarking to capture the existing practice in sustainable design.

This paper reports a systematic method for sustainable product design. The method uses benchmarks as references searching for design details to achieve sustainable solutions. Quality function deployment is used to guide the search process for competitive products using benchmarking to meet quantitative targets of product and to increase knowledge for sustainable design.

The proposed method can meet both functional and sustainable requirements of product design. 18.55 percent reduction in carbon equivalent emissions is achieved compared to benchmarks in wheelchair design. The research reveals that when weight, material and number of components used in product decrease, environmental footprints and cost of the product improve.

The research improves the existing method of sustainable product design. Both sustainable requirements and functional demands of product are identified from qualitative criteria to quantitative metrics using benchmarking and the life cycle assessment.

A product or service usually has multiple measurable characteristics, and its performance on different measures may vary and may change over time. Multi-criterion and multi-period performance benchmarking presents a challenge for management to determine performance gaps among comparable products or services. The purpose of this paper is to propose a new performance benchmarking method to address this challenge.

The author develop this method by formulating two benchmarking functions: a differentiation function based on Shewhart average and standard deviation charts to distinguish the performance of products or services on a single measure, and a categorization function to classify each product’s or service’s overall performance across all measures. By systematically removing the lowest-performing products or services from comparison, the author use these functions iteratively to detect performance gaps.

Using this method, the author find performance gaps in each of three benchmarking applications of airports, hotels, and minivans, although a number of performance gaps are not obvious from the raw data.

This benchmarking study focuses on the quantifiable outcome performance of products and services.

This benchmarking method is generic and applicable to most products and services. It is robust not only for discovering performance gaps, but also for providing useful insights for managers to prioritize improvement efforts on individual performance measures.

The novelty of this benchmarking method lies in that it can not only find the “best overall” products or services for all performance measures, but can also pinpoint the “best-in-class” products or services as well as performance gaps for each performance measure. In addition, this paper presents several original ideas for performance benchmarking, including: using the control limits of Shewhart control charts to categorize performance gaps, systematically removing the lowest-performing products or services from comparison for the purpose of detecting hidden performance gaps, and using symbolic expressions to integrate benchmarking results from all measures and to show all performance gaps intuitively.

When an enterprise wants to design its distribution chain, it needs first to assess all possible distributors, then select the eligible ones to form the design model. This assessing process can be finished by distributor benchmarking. In this paper, a new approach is developed to benchmark distributors. The benchmarking process is done by the following three steps. First, all factors needed for benchmarking a distributor are identified by a systematic analysis. Second, an internet‐based information acquisition module is developed to get all needed information from possible distributors. Third, an inference module based on the combination of fuzzy logic and array‐based logic is developed to benchmark a distributor. As the information acquisition module is implemented via Internet, and the inference process for benchmarking a distributor is executed by computer applications, it is possible to realize online distributor benchmarking by the approach provided in this paper.

Building upon the results of a critical review of previous studies, the purpose of this paper is to present a framework to enhance the reliability of the theoretical model for international benchmarking of labour productivity (TMIBLP) method for construction project activities. The next part of the paper presents the results of implementing the proposed framework for construction activities in the Iranian construction industry.

This paper draws upon a critical review of the literature to highlight the drawbacks of the previous studies concerning implementing TMIBLP within the construction industry. Identifying these shortcomings, the authors propose a framework for construction projects, which presents the procedure for deploying TMIBLP for construction activities in a reliable manner. The final section of the paper demonstrates the empirical implementation of the proposed framework within the Iranian construction industry.

The primary contributions of the paper include: identifying the drawbacks of previous studies within the construction context, the framework that would lead construction managers towards more reliable implementation of benchmarking for construction projects, and determining the baseline of erecting steel structures in a developing country.

A practical implementation of the TMIBLP method was presented to address the lack of research in Iran and to show the feasibility of using the framework developed. The authors investigated the daily labour productivity for the activity of structural steel erection for six projects in Tehran in order to determine the values of the baseline productivity for each project. Accordingly, the disruption index, performance ratio and project management index as the project benchmarks were calculated for all six projects.

Underlining the necessity of implementing methods such as TMIBLP, this study outlines the outcomes of the first study on the benchmarking of construction activities deploying the proposed framework and using the data on erecting steel structures from six construction projects in Iran. The discussions provide guidelines for construction project managers regarding benchmarking labour productivity. The paper concludes with suggestions for future research opportunities.

Through listening to the voice of the customer, quality function deployment (QFD) is a systematic methodology for quality improvement and product development. The quality of a product or service is ultimately judged in terms of customer satisfaction. Customer satisfaction benchmarking can help decision makers identify areas for improvement, make strategic decisions, and set targets on desired satisfaction performance. The main purpose of this paper is to study procedures and methods for successful benchmarking in QFD for quality improvement. It discussed the customer satisfaction benchmarking process in QFD and proposed the use of hierarchical benchmarks for strategic competitor selection and decision making. A case study was presented to illustrate the use of this method. This paper may provide a road map to achieve world‐class performance through benchmarking in QFD, especially for small to medium‐sized enterprises or companies in developing countries.

The purpose of this paper is to investigate the influence of environmental and cultural factors on the benchmarking implementation process and management control within organizations in the United Arab Emirates (UAE). By exploring the complex interplay of these factors, the study aims to uncover how environmental considerations and cultural dynamics shape the effectiveness and outcomes of benchmarking initiatives in the UAE's unique business environment. The research seeks to provide valuable insights for organizations in the UAE to optimize their benchmarking practices and enhance their overall performance and competitiveness.

The study adopts a mixed-methods approach, combining qualitative and quantitative methods to comprehensively explore the influence of environmental and cultural factors on benchmarking implementation and management control in the UAE. This study draws on the integration of two main theoretical perspectives: institutional theory and contingency theory. This is the first attempt to integrate these different frameworks in a single study. The study presents a case study of Emirates Industrial City (EIC), which has been recognized by global industries for boosting efficiency, cost control, quality and overall operations. The quality method known as benchmarking maximizes the potential for organizations to achieve optimal levels of production efficiency.

This paper provides compelling evidence that the benchmarking implementation process and management control in the UAE are significantly influenced by the complex interplay of environmental and cultural factors. By recognizing the importance of environmental sustainability and cultural values in guiding benchmarking practices, UAE organizations can optimize their performance and competitiveness. The findings contribute valuable insights to the existing literature, offering practical implications for UAE organizations seeking to leverage benchmarking as a strategic tool for growth and continuous improvement. The findings reveal that UAE organizations incorporating environmental considerations into benchmarking practices demonstrate a proactive approach to sustainability, aligning their goals with eco-friendly practices. Cultural influences, including a culture of collaboration and openness to external learning, contribute to successful benchmarking adoption and knowledge sharing. Moreover, the study highlights that the integration of benchmarking outcomes into the management control process positively correlates with organizational performance. UAE organizations that leverage benchmarking data for decision-making and performance evaluation exhibit higher levels of competitiveness and efficiency.

This paper has important implications for organizations in the UAE seeking to optimize their benchmarking practices and management control. The study's findings can guide organizations in aligning their benchmarking efforts with environmental sustainability goals and cultural values to enhance performance and competitiveness. Understanding the influence of environmental and cultural factors on benchmarking adoption and implementation allows organizations to foster a benchmarking culture that embraces knowledge sharing and learning. Managers can tailor their approaches to accommodate cultural nuances and enhance the effectiveness of benchmarking initiatives.

This paper contributes to the existing body of knowledge in several ways. Integrated approach: By examining the complex interplay of environmental and cultural factors, this study takes an integrated approach of institutional and contingency theories to understanding their influence on benchmarking implementation and management control. It offers a comprehensive view of how these factors interact to shape organizational practices and outcomes. UAE context: The study focuses specifically on the UAE, providing insights into benchmarking practices within the unique environmental and cultural context of the nation. This research addresses a gap in the literature by examining the influence of these factors in a distinct business environment.

Building energy benchmarking is required for adopting an energy certification scheme, promoting energy efficiency and reducing energy consumption. It demonstrates the current level of energy consumption, the value of potential energy improvement and the prospects for additional savings. This paper aims to create a new data envelopment analysis (DEA) model that overcomes the limitations of existing models for building energy benchmarking.

Data preparation: the findings of the literature search and subject matter experts’ inputs are used to construct the DEA model. Particularly, it is ensured that the included variables would not violate the fundamental assumption of DEA modeling, DEA convexity axiom. New DEA formulation: controllable and non-controllable variables, e.g. weather conditions, are differentiated in the new formulation. A new approach is used to identify outliers to avoid skewing the efficiency scores for the rest of the buildings under consideration. Efficiency analysis: three distinct efficiencies are computed and analyzed in benchmarking building energy: overall, pure technical, and scale efficiency.

The proposed DEA approach is successfully applied to a data set provided by a utility management and energy services company that is active in the multifamily housing industry. Building characteristics and energy consumption of 124 multifamily properties in 15 different states in the USA are found in the data set. Buildings in this data set are benchmarked using the new DEA energy benchmarking formulation. Building energy benchmarking is also conducted in a time series manner showing how a particular building performs across the period of 12 months compared with its peers.

The proposed research contributes to the body of knowledge in building energy benchmarking through developing a new outlier detection method to mitigate the impact of super-efficient and super-inefficient buildings on skewing the efficiency scores of the other buildings; avoiding ratio variables in the DEA formulation to adhere to the convexity assumption that existing DEA methods do not follow; and distinguishing between controllable and non-controllable variables in the DEA formulation. This research contributes to the state of practice through providing a new energy benchmarking tool for facility managers and building owners that strive to relatively rank the energy-efficiency of their properties and identify low-performing properties as investment targets to enhance energy efficiency.

Rapid urbanization and development of pilgrimage cities cause significant problems for the environment and society, leading to long-term challenges. Despite several discussions on city sustainability, the literature does not address some of the specific problems of pilgrimage cities. Hence, this study attempts at developing a method to examine the growth pattern and sustainability of pilgrimage cities in southern part of India.

The benchmarking method and the social, economic and environmental dimensions of sustainability are considered to construct the Pilgrimage City Sustainability Index (PCSI). Appropriate variables and categories are identified through a literature review and expert opinion survey. The benchmark values of the variables are derived by contemplating the pilgrimage cities of Tamil Nadu, one of the states with the largest tourist arrivals in India. Subsequently, three prominent pilgrimage cities from Tamil Nadu were chosen for the case study and the method was tested.

The result reveals that the cities investigated are performing above average in the sustainability index, with slight variations in their dimension scores. While the category scores of cities assist in identifying macro-level issues, the variable scores provide an insight into micro-level issues. Furthermore, the gap analysis between the benchmark and the present value of each variable discloses the immediate area of attention in each city. Thus, the cities could set more specific targets, frame strategies and/or collaborate with matching cities to bridge these gaps.

This index assessment provides a comparison of the pros and cons of these pilgrimage cities and helps identify their demand and supply. Policymakers can find appropriate tools and approaches that aid in sustainable urban development and tourism management.

To the best of our knowledge, this is the first study in emphasizing the application of the benchmarking method to assess the sustainability of Indian pilgrimage sites. With appropriate modifications, this method can be used in varied contexts across the globe.