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

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.

2007 ◽  
Vol 30 (3) ◽  
pp. 187-202 ◽  
Author(s):  
Vittorio Chiesa ◽  
Federico Frattini ◽  
Valentina Lazzarotti ◽  
Raffaella Manzini

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Anita Primastiwi

The aim of this study is to give empirical evidence about the influence of external pressure on the using of performance measurement system for operational purposes and the impact on the performance of public sector organizations. The samples were the SKPD’s and BUMD’s chairmen or chairwomen who lead the governmental services in Klaten Regency, and they must be in their term of office for at least one year. This study analyzed their perceptions about the statements in the questionaire. The data was analized by partial least square (PLS) with Smart PLS Version 3.0. The findings showed an empirical evidence that accountability demands from supervisors and specific (external) stakeholder groups do have positive and significant effect on the using of performance measurement system for operational purposes, but that general public or political attention does not affect to the using of performance measurement system for operational purposes. The finding also showed that using the system for operational purposes has no impact on performance.


2019 ◽  
Vol 10 (8) ◽  
pp. 717-733
Author(s):  
Ietje Nazaruddin ◽  
◽  
Hafiez Sofyani ◽  
Erni Suryandari Fatmaningrum ◽  
Caesar Marga Putri

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.


2016 ◽  
Vol 1 ◽  
Author(s):  
Anita Susilawati

<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>


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