The Effectiveness of Performance Measurement System for the Principal's Decision Making in a Context of Foreign Subsidiary Management

2015 ◽  
Author(s):  
Takahito Kondo ◽  
Takeshi Nishii
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Measurement System ◽  
Performance Measurement System ◽  
Foreign Subsidiary ◽  
Subsidiary Management

Key Success Factors the Implementation of Performance Measurement System for Lecturer: Evidence from Indonesia

2019 ◽  
Vol 10 (8) ◽  
pp. 717-733
Author(s):  
Ietje Nazaruddin ◽  
◽  
Hafiez Sofyani ◽  
Erni Suryandari Fatmaningrum ◽  
Caesar Marga Putri
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Measurement System ◽  
Ethical Leadership ◽  
Organizational Support ◽  
Success Factors ◽  
Positive Influence ◽  
Partial Least Square ◽  
Least Square ◽  
Performance Measurement System

The phenomenon of low performance of university lecturers in Indonesia has led to the emergence of an initiative by universities to develop a performance measurement system for lecturers (PMSL). Any factor that becomes the key success to the policy for implementing the PMSL is still an interesting research gap to be studied further. For that reason, this study aimed to examine ethical leadership, organizational support, and participative decision-making policies as PMSL implementation determinants. The latter variable was also analyzed as an intervening variable. Using 203 data from a questionnaire completed by lecturers at Indonesian top private universities (accredited A and in possession of the internationalization program), we tested the hypothesis using Partial Least Square (PLS) approach. The results of this study indicated that there was a positive influence of ethical leadership, organizational support, and participative decision-making for the successful PMSL implementation. Moreover, participative decision-making also played a prominent role in making PMSL implementation a success, namely as an intervening variable. Further discussion is presented in this paper.

Development of a FAHP Algorithm Based Performance Measurement System for Lean Manufacturing Company

2016 ◽  
Vol 1 ◽  
Author(s):  
Anita Susilawati
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Measurement System ◽  
Lean Manufacturing ◽  
Software Tool ◽  
Performance Measurement System ◽  
Company Performance ◽  
Manufacturing Companies ◽  
Weight Calculation

<p>For companies that implement Lean Manufacturing, it is essential to measure the<strong> </strong>extent of success in terms of the achievements of optimum performances. This paper describes the development of a Fuzzy Analytical Hierarchy Process (FAHP) algorithm based Performance Measurement System (PMS) application software for lean companies. The PMS software, which was developed using the C++ language, was designed as a decision making system to aid lean manufacturing companies. The software allows decision making analysis based FAHP facilitating data input, pairwise comparisons, weight calculation and lean company scores. A case study of a lean manufacturing is presented to illustrate the theoretical and practical aspects of the PMS software. The case study demonstrated the software tool can assent to a lean company to implement PMS in a much easier manner yielding more accurate and consistent results that include a list of recommended actions to address issues identified. Therefore, it can improve the company performance.</p>

scholarly journals Development of a FAHP Algorithm Based Performance Measurement System for Lean Manufacturing Company

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Anita Susilawati
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Measurement System ◽  
Lean Manufacturing ◽  
Software Tool ◽  
Performance Measurement System ◽  
Company Performance ◽  
Manufacturing Companies ◽  
Weight Calculation

<p>For companies that implement Lean Manufacturing, it is essential to measure the<strong> </strong>extent of success in terms of the achievements of optimum performances. This paper describes the development of a Fuzzy Analytical Hierarchy Process (FAHP) algorithm based Performance Measurement System (PMS) application software for lean companies. The PMS software, which was developed using the C++ language, was designed as a decision making system to aid lean manufacturing companies. The software allows decision making analysis based FAHP facilitating data input, pairwise comparisons, weight calculation and lean company scores. A case study of a lean manufacturing is presented to illustrate the theoretical and practical aspects of the PMS software. The case study demonstrated the software tool can assent to a lean company to implement PMS in a much easier manner yielding more accurate and consistent results that include a list of recommended actions to address issues identified. Therefore, it can improve the company performance.</p>

Managerial Influence in Performance Measurement System Design: A Recipe for Failure?

2014 ◽  
Vol 26 (2) ◽  
pp. 1-34 ◽  
Author(s):  
Anne-Marie Kruis ◽  
Sally K. Widener
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Information Asymmetry ◽  
System Design ◽  
Empirical Evidence ◽  
Survey Data ◽  
Measurement System ◽  
Performance Measurement System ◽  
Business Unit ◽  
Extant Literature

ABSTRACT: Extant literature holds that business unit (BU) managers' influence in the design of their performance measurement system (PMS) is beneficial; however, empirical evidence is mixed. Using survey data from 293 BU managers, we study their perception that the PMS fails to support their decision-making. The findings indicate that, on average, managerial influence in PMS design decreases the perception of PMS failure and hence indeed seems to be beneficial. However, importantly, the effect differs depending on the situation. For instance, when there are higher levels of information asymmetry between managers and superiors, lower levels of interdependencies, or lower levels of information asymmetry between employees and managers, managerial influence in PMS design decreases failure. To the contrary, when there are lower levels of information asymmetry between managers and superiors, higher levels of interdependencies, or higher levels of information asymmetry between employees and managers, influence in PMS design increases PMS failure.

scholarly journals APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY

2014 ◽  
Vol 17 (4) ◽  
pp. 69-82
Author(s):  
Thanh Van Vo ◽  
Trung Quoc Pham
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Supply Chain ◽  
Performance Measurement ◽  
Measurement System ◽  
Textile Industry ◽  
Ho Chi Minh City ◽  
Performance Measurement System ◽  
Supply Chain Performance ◽  
Textile Supply Chain

The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.

scholarly journals An integrated logistics performance measurement system for logistics management

2017 ◽  
Author(s):  
◽  
Liqian Wu
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Performance Measures ◽  
Measurement System ◽  
Performance Measurement System ◽  
Multi Criteria Decision Making ◽  
Measurement Systems ◽  
Measurement Framework ◽  
Performance Measurement Systems ◽  
Integrated Logistics

In the 1980's there was a revolution that changed the nature of traditional performance measurement systems. Since then there has been an explosion in the number of scholars and practitioners seeking new and better ways of measuring organizational performance. Performance measurement systems (PMS) specialized for logistics management caught attention much later when more enterprises began to focus on logistics to reduce operational cost and increase profits. Meanwhile, there are more demands on logistics performance measurement systems (LPMSs). The role of an LPMS is beyond monitoring logistics performance, but also to provide logistics improvement suggestions, resolve trade-offs between different logistics activities and so on. To design an LPMS, this thesis addresses the following four objectives: 1) review the evolution of performance measurement systems (PMS) for logistics since 2000; 2) determine the requirements for the design an ILPMS; 3) propose an ILPMS that satisfies these requirements; and 4) apply the ILPMS to a case study. The ILPMS consists of three components: 1) a hybrid performance measurement framework, combining a hierarchical and process-based structure, to facilitate developing logistics performance measures and metrics; 2) different strategies for developing logistics performance measures and logistics activity metrics; 3) a hybrid multi-criteria decision making methodology, analytic network process (ANP) and decision-making trial and evaluation laboratory (DEMATEL), to prioritize performance measures and metrics for managerial purposes. The ILPMS developed illustrates the procedures to establish a logistics performance measurement system for a manufacturing company. The results from the ILPMS provide effective feedback for performance management process and suggestions about performance improvement for managers. Keywords: integrated logistics performance measurement framework (ILPMS), performance measures/metrics, multi-criteria decision making methodology (MCDM)

scholarly journals Fuzzy Performance Measurement System for the Maintenance Function

2018 ◽  
Vol 200 ◽  
pp. 00012 ◽  
Author(s):  
Mehdi Amine Naji ◽  
Ahmed Mousrij
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Performance Evaluation ◽  
Performance Measurement ◽  
Measurement System ◽  
Multiple Criteria Decision Making ◽  
Performance Measurement System ◽  
Reliable Performance ◽  
Multi Level ◽  
Maintenance Performance

Maintenance aims to sustain the manufacturing process by ensuring that the production tools are well managed. However, modern production means are more automated and therefore more complex, so they require a performing maintenance for which planning and implementation are increasingly difficult. This paper, therefore, emphasizes the elaboration of a maintenance performance measurement system. Therefore, for an appropriate and reliable performance evaluation, we adopt a multi-level multi-criteria approach where every criterion influencing the maintenance performance either indirectly or directly are specified. Thereafter, indicators for the specified criteria would be measured using fuzzy logic to overcome limitations due to lack of available resources and data. For a global maintenance measurement, the elementary measurements will be aggregated into a total measurement through a multiple-criteria decision-making method such as MACBETH.

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