Problem Of Performance Measurement Research Articles

EVALUASI KINERJA RANTAI PASOK MENGGUNAKAN PENDEKATAN SUPPLY CHAIN OPERATION REFERENCE (SCOR) (STUDI KASUS PT ABC)

Performance measurement is a way to monitor organizational activities to ensure that the organization has achieved the goals to be achieved. Performance measurement problems can be solved using the SCOR approach because it lies in the focus of the measurement area, which is measuring the company's activities from upstream to downstream which includes reliability, responsiveness, flexibility, cost, and asset. The purpose of this study, namely to measure the level of performance in the supply chain, determine the performance attributes that need to be improved, and provide suggestions and solutions as consideration for managing measurement problems. The results of the performance calculation using the SCOR a pproach, are the metrics on the performance attributes of responsiveness, cost, and asset are 100% in accordance with the company's target, but on the reliabilityperformance attribute there are metrics that are not in accordance with the company's target, are perfect condition, inventory inaccuracy for finish products, inventory accuracy, % orders received defect free, incoming product quality, and customer complaint, while the flexibility performance attribute has a metrics that is not in accordance with the company's target, is current on hand inventory. Suggestions for improvements needed by the company, are improvements in finished product inspections and document checks, as well as additional space for raw material warehouse.

The Concept of Effective Organization for Quality Performance of Public Administration: For New Democracies

The article considers a possible public administration performance measurement regarding to political organization situation in Croatia. The first performance measurement problem comes from multilevel responsibility and co-production implementations. Second comes with emergence of multilevel products origin. Thirdly, state is very open and integrated in the EU and globalization influence. Therefore, it is crucially important to identify products and the evaluation indicators of the public administration, according with the public goals and social values. The article considers the performance measurement and management methodological at an organizational frame and it also considers the social values influence on a methodology and the role of the public administration in fulfilment of the public policy. Finally, effective organization possible could be built and improved by measuring effectiveness. The paper has tried to show the public service complexity work and the purpose, but first of all the importance public administration for achieving public goals.

Comparative study of standalone classifier and ensemble classifier

Ensemble learning is one of machine learning method that can solve performance measurement problem. Standalone classifiers often show a poor performance result, thus why combining them with ensemble methods can improve their performance scores. Ensemble learning has several methods, in this study, three methods of ensemble learning are compared with standalone classifiers of support vector machine, Naïve Bayes, and decision tree. bagging, AdaBoost, and voting are the ensemble methods that are combined then compared to standalone classifiers. From 1670 dataset of twitter mentions about tourist’s attraction, ensemble methods did not show a specific improvement in accuracy and precision measurement since it generated the same result as decision tree as standalone classifier. Bagging method showed a significant development in recall, f-measure, and area under curve (AUC) measurement. For overall performance, decision tree as standalone classifier and decision tree with AdaBoost method have the highest score for accuracy and precision measurements, meanwhile support vector machine with bagging method has the highest score for recall, f-measure, and AUC.

An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors

An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors

A novel DEA model for solving performance measurement problems with flexible measures: An application to Tehran Stock Exchange

In basic data envelopment analysis (DEA) models the status of input and output measures are exactly known and given. However, in certain cases, some factors could play either input or output roles that are referred to as flexible measures. The existing approaches to deal with flexible measures solve two models for each DMU to rank the DMUs, one to classify flexible measures, and another to estimate efficiency scores. Moreover, these approaches ignore the role of non-Archimedean epsilon in the performance evaluation process. In this paper, we develop a novel mixed binary linear DEA model to classify the flexible measures and find the best DMU. Moreover, we propose an approach to find a suitable epsilon value for our developed model and suggest a new algorithm to find and rank all efficient units. An interesting case study in Tehran Stock Exchange is provided to illustrate the potential application of our new approach.

A Comprehensive Approach to Problems of Performance Measurement

SummaryThe paper describes a comprehensive approach to problems of performance measurement that can be used to tackle a wide range of situations, including designing monthly board and leadership reports in enterprises, assessing research quality and monitoring the efficiency and effectiveness of government programmes. It provides a review of various methods for tackling these problems and outlines some current areas of research. Although technical statistical issues are buried somewhat below the surface, statistical thinking is very much part of the main line of argument, meaning that performance measurement should be an area attracting serious attention from statisticians.

An empirical assessment of the operational performance through internal benchmarking: a case of a global logistics firm

This article solves an operational performance measurement problem of a global logistics firm through an internal benchmarking tool. The intended impact is to enable logistics firms to form a deeper understanding of their own internal processes and metrics. The methodology of this in-depth action research involves a sequential approach with a series of interviews, questionnaire-based surveys, operations data collated through observations and process mapping yielding real-world data. A series of statistical tests are conducted to analyse the collated data. Strategic priorities of the firm are integrated with the firm’s operational performance to ascertain the effective performance by considering both the tangible and intangible measures. The outcomes inform both practitioners and academics how the firm could improve its freight forwarding business’s profitability by ensuring that its operations meet the prioritised criteria. The ‘best practice’ derived from internal benchmarking forms an intermediate step towards external benchmarking. The outcomes facilitate investigating the current business strategy, the standard operating procedures and the scope of improving those.

Dynamic Investment Models in Accounting Research

This monograph presents three variants of the neoclassical investment model and characterizes the firm's optimal investment policy, equity value, and the desirable properties of accrual accounting rules in each setting. Two main questions are considered: (1) What accounting rules result in the most informative financial statements from the perspective of investors seeking to value the firm's equity? and, (2) What accounting rules can be efficiently used by shareholders in evaluating the performance of better informed managers? One accounting treatment, referred to as replacement cost accounting, achieves efficiency along both dimensions. The notion of replacement cost studied in this monograph corresponds closely to that of fair value, as defined in IFRS 13, in that it is defined as either: (i) the current price of the capital goods in a perfectly competitive market, if such a market is available, or (ii) the hypothetical amount that would have to be incurred today to replace the current and future capacity of the capital goods in question. While the replacement cost rule is, in many settings, unique in providing the firm's shareholders with sufficient information for precise equity valuation, the problem of efficient performance measurement is generally less informationally demanding. For example, under certain plausible conditions, the owners can incentivize a better informed manager to make efficient investment decisions using the straight-line depreciation method.

EIC: A New Tool for Intellectual Capital Performance Measurement

The purpose of this paper is to emphasize the importance of intellectual capital (IC) undisclosed on the assets side on the balance sheet of knowledge enterprises. This capital is very relevant, and mana-gers need to have information about it in order to facilitate effective IC management process. The issue of IC performance measurement has been a matter of growing importance in both academic community and managerial practices for the past two decades. Based on the previous ideas put forward in the literature of knowledge management and IC management, this paper suggests a new methodological framework for overcoming the problem of IC performance measurement in knowledge enterprises. Efficiency of Intellectual Capital (EIC) methodological framework offers practical solutions for measuring the efficiency of total enterprises' IC, as well as the efficiency in the use of all IC components. The EIC framework connects financial accounting valuation and market valuation.

Robust efficiency measurement with common set of weights under varying degrees of conservatism and data uncertainty

The conventional paradigm in data envelopment analysis (DEA) is to develop an efficiency measurement model that assumes the input and output data are precise and equal to some nominal values. However, this paradigm does not take into consideration the inherent uncertainties in real-life performance measurement problems. As a result of these uncertainties, the input and output data may take non-nominal values and violate the basic assumptions in DEA. This phenomenon has motivated us to design a DEA model that is 'robust' and immune to uncertain data. We present a robust DEA model with a common set of weights (CSWs) under varying degrees of conservatism and data uncertainty. We use goal programming (GP) and compute the relative efficiencies of the decision making units (DMUs) by producing CSWs in one run. The proposed model uses a confidence criterion to produce a ranking of the DMUs and determine a set of efficient DMUs. We present a numerical example and a case study to exhibit the efficacy of the procedures and to demonstrate the applicability of the proposed method to a performance measurement problem in the banking industry. [Received 13 December 2014; Revised 13 August 2015; Accepted 19 January 2016]

Measurement Research of Motorized Spindle Dynamic Stiffness under High Speed Rotating

High speed motorized spindle has become a key functional unit of high speed machine tools and effectively promotes the development of machine tool technology. The development of higher speed and more power puts forward the stricter requirement for the performance of motorized spindle, especially the dynamic performance which affects the machining accuracy, reliability, and production efficiency. To overcome the problems of ineffective loading and dynamic performance measurement of motorized spindle, a noncontact electromagnetic loading device is developed. The cutting load can be simulated by using electromagnetic force. A new method of measuring force by force sensors is presented, and the steady and transient loading force could be measured exactly. After the high speed machine spindle is tested, the frequency response curves of the spindle relative to machine table are collected at 0~12000 rpm; then the relationships between stiffness and speeds as well as between damping ratio and speeds are obtained. The result shows that not only the static and dynamic stiffness but also the damping ratio declined with the increase of speed.

Analysis of process performance measurement models

In the literature, there are number of models that provide guidelines for the performance measurement system development and examine performance measurement problems from different perspectives. In this paper, some of the most important performance measurement models are considered. Furthermore, comparative analysis of these models, according to 11 criteria, was done. It was noticed that the majority of models takes into account the strategy or goals while determining performance but most of them don't specify performance indicators and only give an indication for their determination. Also, none of models link directly organizational goals and process performance indicators, which would allow model flexibility and adaptibility. On this basis, the need to develop a new model that would overcome these shortcomings was identified, and this represents a direction for further research.

Corporate Social Responsibility Index for Ukrainian Banks: The Essentials for Implementation

The aim of this paper is to solve the problem of CSR performance measurement for Ukrainian banking institutions by developing a CSR index. It is done by measuring a corporate social responsibility (CSR) through 25 different indicators for 40 Ukrainian banks, which represent 80% of total banking system assets. This paper is a first attempt in Ukrainian practice to put CSR indicators into a standard metrics and develop specific methodology that would allow comparing CSR for different banks. To check the adequacy of our preliminary findings we compare CSR results for Ukrainian banks with CSR results for Swedish banks, where the level of CSR is definitely higher, since it is a socially directed developed economy. After that the weights of CSR index for Swedish banks counted by our methodology was compared to different professionally made indexes.

Multitasking and Performance Measurement

In a principal-agent setting, we consider a combined problem of multitasking and performance measurement. The principal can choose to reward the agent both directly for providing effort into a specific activity, and based on the outcome delivered to the principal. Both the issue of multitasking and any private knowledge the agent might possess will lead the principal to use a performance measurement more. This applies even if the measurement is poorly correlated with the actual outcome to the principal.

Performance Measurement and Evaluation Practices and Problems in Amhara Region Public Sectors

The primary concern of this study is to observe the practices of commonly known change initiatives of BPR and BSC and the ensuing performance appraisal techniques Problems in Amhara Region’s Public Sectors based on the case study Observation results of Government Communications Affairs Office(ANRS GCAO) in particular. We are also interested in the relationships/links between the appraisal of individual co-worker performance and reward/promotion attached to it. With regard to the design, methods and procedures of the observation, three Core and three support Process Owners and six case team leaders respectively were participated. They were selected purposively due to their depth of knowledge about the change process. We employed non-probability sampling technique and a case study type of research methods. We adopt case study due to the fact that we mainly relied on to combine group interview with record analysis and observation. No measurement of individual co-workers is practiced in the organization as per the measurement criteria studied and promulgated by the regional government so far. Workers are not doing their jobs focusing on the mission and vision of the organization neither do they measure their daily activities based on time, quality, quantity and efficiency performance parameters. Finally, we proposed the Lewin's force field analysis as well as the ADKAR model and the five step communication strategies in our model are essentially fundamental to mitigate change resistant’s and enforce change in overall organization structures. In addition, we raised some success/failure factors contribute for implementation of the revised BPR and BSC as well as scientific tools to motivate workers objectively through overhauling performance and achieve organizational mission, vision and objectives.

Corporate social responsibility index for Ukrainian banks: The essentials for implementation

The aim of this paper is to solve the problem of CSR performance measurement for Ukrainian banking institutions by developing a CSR index. It is done by measuring a corporate social responsibility (CSR) through 25 different indicators for 40 Ukrainian banks, which represent 80% of total banking system assets. This paper is a first attempt in Ukrainian practice to put CSR indicators into a standard metrics and develop specific methodology that would allow comparing CSR for different banks. To check the adequacy of our preliminary findings we compare CSR results for Ukrainian banks with CSR results for Swedish banks, where the level of CSR is definitely higher, since it is a socially directed developed economy. After that the weights of CSR index for Swedish banks counted by our methodology was compared to different professionally made indexes.

Performance Measurement of the Fourth Party Logistics Providers

This paper presents a multicriterica decision making method (MCDM) to evaluate the performance of the fourth-party logistics providers. The four indexes of balanced scorecard (BSC) are used as the evaluation indexes. AHP (analytical hierarchy process) is used for rating the weights of criteria and alternatives. MCDM method of SAW (Simple Additive Weighting) is used for ranking the companies. Results show that the approach is applicable for the performance measurement problem.

Interpretive schemes in performance management - measurement problems generating managerial action in Finnish local government

This paper examines the ‘doing’ question of public sector performance by studying public organisations and managers as carriers of interpretive schemes on performance improvements and the effects of such schemes on actual managerial practices of the public sector. This paper poses two research questions: 1) how do interpretive schemes of public managers help to solve performance measurement problems in public organisations; 2) what are the related heuristic strategies of public managers to cope with decision making ambiguity in local government? The research questions are examined by utilising empirical data on Finnish local government regarding interpretive schemes and their implications for managerial decisions. The empirical dataset includes documentary material and interview data from Finnish local government. This paper argues that it is important to analyse performance measurement as a solution to organisational problems. Moreover, it is necessary to address situations in which performance measurement is a problem as such calling for managerial solutions. Those solutions and heuristics generate new unanticipated organisational action. They also have important effects and implications on public sector performance. Understanding this dynamics is most relevant for performance management research and practice.

Advances in benchmarking to improve water utility operations: a review of six IWA books

Six recent publications by the International Water Association underscore the growing importance of quantitative studies of water utilities for identifying (1) performance patterns, (2) trends in key indicators and (3) best practice. Since each author takes a different approach to the problem of performance measurement and incentives for improvement, the books provide different perspectives on the decision-relevance of empirical analysis and cases for managers and policymakers. Key lessons from the volumes include the use of benchmarking as a tool for establishing better internal incentives, the importance of data collection and auditing and the role of transparency in helping stakeholders become more informed about utility operations. Analysts need to help stakeholders understand sector complexities, where hydrology, topology, historical developments outside current management's control, population income levels and the amount of skilled labor differ widely across and even within nations. The six books taken together underscore the value of quantifying relative performance and improving our awareness of production processes and the institutional arrangements that support strong water sector performance.

Shop floor performance measurement – a case study in injection moulding industry

Shop floor is the key decision that determines the long-run efficiency of operations, especially in a manufacturing operation. Thus it is necessary to measure the performance of the shop floor in order to increase the competitiveness of a company. However, performance measurement is not an easy task because companies must decide what kind of measurement criteria they should take into consideration and to assess the performance according to these criteria. In this paper, an integrated methodology is proposed to measure the performance of the shop floor. This paper attempts to demonstrate the use of combination of simulation and analytic hierarchy process (AHP) to measure the performance of the shop floor in a moulding industry. In this case study, four performance measures included injection moulding machine utilisation, operator utilisation, earliness/lateness and throughput rate were chosen to be the measurement criteria. The methodology shows that the performance of the shop floor can be evaluated through the process. It shows the effect of the selected criteria in influencing the performance of the shop floor. This paper tries to reduce the gap between virtual performance and actual performance in the shop floor performance measurement problem.