2,164 research outputs found
School performance in Australia: is there a role for quasi-markets?
Recent changes to the organisation of Australia's education system have raised the possibility of implementing wide-ranging market reforms. In this article we discuss the scope for introducing reforms similar to the United Kingdom's 'quasi-market' model. We discuss the role of school league tables in providing signals and incentives in a quasi-market. Specifically, we compare a range of unadjusted and model-based league tables of primary school performance in Queensland's public education system. These comparisons indicate that model-based tables which account for socio-economic status and student intake quality vary significantly from the unadjusted tables
Analyzing Product Efficiency – A Customer-Oriented Approach
The purpose of this study is to provide a broader, economic perspective on customer value management. By developing an efficiency-based concept of customer value we aim at contributing to the presently underrepresented research field of marketing economics. The customer value concept is utilized to assess product performance and eventually to determine the competitive market structure and the product-market boundaries. Our analytical approach to product-market structuring based on customer value is developed within a microeconomic framework. We measure customer value as the product efficiency viewed from the customer’s perspective, i.e., as a ratio of outputs (e.g., resale value, reliability, safety, comfort) that customers obtain from a product relative to inputs (price, running costs) that customers have to deliver in exchange. The efficiency value derived can be understood as the return on the customer’s investment. Products offering a maximum customer value relative to all other alternatives in the market are characterized as efficient. Different efficient products may create value in different ways using different strategies (output-input- combinations). Each efficient product can be viewed as a benchmark for a distinct sub-market. Jointly, these products form the efficient frontier, which serves as a reference function for the inefficient products. Thus, we define customer value of alternative products as a relative concept. Market partitioning is achieved endogenously by clustering products in one segment that are benchmarked by the same efficient peer(s). This ensures that only products with a similar output-input structure are partitioned into the same sub-market. As a result, a sub-market consists of highly substitutable products. In addition, value-creating strategies (i.e., indications of how to vary inputs and outputs) to improve product performance in order to offer maximum customer value are provided. The impact of each performance parameter on customer value is determined, identifying the value drivers among them. This methodological framework is applied to data of the 1996 German Automobile Club (ADAC) survey.Customer Value, Data Envelopment Analysis (DEA), Efficiency Analysis, Market Partitioning, Product-Market Structuring
Analyzing Product Efficiency – A Customer-Oriented Approach
The purpose of this study is to provide a broader, economic perspective on customer value management. By developing an efficiency-based concept of customer value we aim at contributing to the presently underrepresented research field of marketing economics. The customer value concept is utilized to assess product performance and eventually to determine the competitive market structure and the product-market boundaries. Our analytical approach to product-market structuring based on customer value is developed within a microeconomic framework. We measure customer value as the product efficiency viewed from the customer’s perspective, i.e., as a ratio of outputs (e.g., resale value, reliability, safety, comfort) that customers obtain from a product relative to inputs (price, running costs) that customers have to deliver in exchange. The efficiency value derived can be understood as the return on the customer’s investment. Products offering a maximum customer value relative to all other alternatives in the market are characterized as efficient. Different efficient products may create value in different ways using different strategies (output-input- combinations). Each efficient product can be viewed as a benchmark for a distinct sub-market. Jointly, these products form the efficient frontier, which serves as a reference function for the inefficient products. Thus, we define customer value of alternative products as a relative concept. Market partitioning is achieved endogenously by clustering products in one segment that are benchmarked by the same efficient peer(s). This ensures that only products with a similar output-input structure are partitioned into the same sub-market. As a result, a sub-market consists of highly substitutable products. In addition, value-creating strategies (i.e., indications of how to vary inputs and outputs) to improve product performance in order to offer maximum customer value are provided. The impact of each performance parameter on customer value is determined, identifying the value drivers among them. This methodological framework is applied to data of the 1996 German Automobile Club (ADAC) survey.Customer Value, Data Envelopment Analysis (DEA), Efficiency Analysis, Market Partitioning, Product-Market Structuring
The equity theory: A quantitative perspective using data envelopment analysis
Equity theory (ET) is an organizational theory investigating how fairly people feel they have been treated. The literature on ET does not address two essential questions: what is the magnitude of the equity that one may perceive compared to other members in an organization?, and how much should be the resources (outcomes) of an underpaid member reduced (increased) to feel equal? The group members may respond to these questions emotionally, and their answers could be biased based on their personalities. This paper proposes a novel method using data envelopment analysis (DEA) to quantify the ET and answer these questions more logically. DEA is a mathematical model that is conceptually similar to ET. We will show how DEA can estimate the degree of equity perceived by members of a group with different personalities, including optimistic, pessimistic, benevolent, and entitled characters
Performance Management and Performance Measurement in the Education Sector
The paper examines several outstanding issues on the interface between the measurement of performance in primary and secondary education and the management of improved performance in this nationally important sector. These issues relate to the clarification of the objectives of the education system, the impact of performance reward systems, such as Performance Related Pay, t he role of resources in influencing educational outcomes, the reliability of existing methods of assessing educational performance, such as Data Envelopment Analysis and multivariate regression, and the need for an improved national comparative database if progress is to be made in several of these directions.Performance management; performance measurement; education; data envelopment analysis; quality control; knowledge management.
Performance evaluation of petrochemical firms accepted in Tehran stock exchange using DEA (window analysis)
In the past two decades, organizational performance management has become one of the most attractive topics of study. Each organization is needed to evaluate its system to determine the appropriateness and quality of your work in dynamic environments. Data envelopment analysis provides a theoretical framework for performance analysis and performance measurement. The data envelopment analysis (DEA) is a linear programming technique, whose main purpose is to compare and evaluate a number of similar decision making units which have different amounts of used inputs and produced outputs. Dynamic method of data envelopment analysis (window analysis), is a method that enables the calculation of performance over time and can result in improved outcomes.We use the model described in this paper, the performance of listed companies in the petrochemical industry review. The evaluation results are indicated with different companies. The results showed that the six companies are 80% more efficient
Performance evaluation of petrochemical firms accepted in Tehran stock exchange using DEA (window analysis)
In the past two decades, organizational performance management has become one of the most attractive topics of study. Each organization is needed to evaluate its system to determine the appropriateness and quality of your work in dynamic environments. Data envelopment analysis provides a theoretical framework for performance analysis and performance measurement. The data envelopment analysis (DEA) is a linear programming technique, whose main purpose is to compare and evaluate a number of similar decision making units which have different amounts of used inputs and produced outputs. Dynamic method of data envelopment analysis (window analysis), is a method that enables the calculation of performance over time and can result in improved outcomes.We use the model described in this paper, the performance of listed companies in the petrochemical industry review. The evaluation results are indicated with different companies. The results showed that the six companies are 80% more efficient
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A New Approach for Evaluating the Order Fulfillment Process Options of B2C Horizontal Portals Using DEA (Data Envelopment Analysis)
By using the traditional statistical or operations research methods for deciding the product-delivery logistics, the portal companies are not using their competitive advantages on being more e-enabled, informed and computationally able than their traditional counterparts. In this paper, we show some typical characteristics of the portals like their handling of a huge range of goods in terms of transactional values or volumes. Subsequently, we have identified three types of generic product-delivery logistics of the portals with various intermediate entities or trading partners. Then, a completely different approach using an extreme point method rather than the traditional central-tendency-based statistical methods has been suggested
Performance evaluation of petrochemical firms accepted in Tehran stock exchange using DEA (window analysis)
In the past two decades, organizational performance management has become one of the most attractive topics of study. Each organization is needed to evaluate its system to determine the appropriateness and quality of your work in dynamic environments. Data envelopment analysis provides a theoretical framework for performance analysis and performance measurement. The data envelopment analysis (DEA) is a linear programming technique, whose main purpose is to compare and evaluate a number of similar decision making units which have different amounts of used inputs and produced outputs. Dynamic method of data envelopment analysis (window analysis), is a method that enables the calculation of performance over time and can result in improved outcomes.We use the model described in this paper, the performance of listed companies in the petrochemical industry review. The evaluation results are indicated with different companies. The results showed that the six companies are 80% more efficient
An Integrated Fuzzy Multi-Criteria Decision Making Method For Supplier Evaluation
This research investigates the risk exposure arising from the supplier evaluation criteria of cost, quality, delivery, and flexibility of the supplier. Penyelidikan ini bertujuan untuk mengkaji risiko yang timbul daripada kos, kualiti, penghantaran dan fleksibiliti bagi penilaian pembekal
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