The Relationship of Environmental Hostility, Use of Performance Measurement Systems, Empowerment, and Business Performance

2018 ◽  
Vol 18 (2) ◽  
pp. 225-248
Author(s):  
Dasom Lee
Keyword(s):  
Performance Measurement ◽  
Business Performance ◽  
Measurement Systems ◽  
Performance Measurement Systems ◽  
Relationship Of ◽  
The Relationship ◽  
Environmental Hostility

Knowledge assets, capabilities and performance measurement systems: a resource orchestration theory approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kaveh Asiaei ◽  
Zabihollah Rezaee ◽  
Nick Bontis ◽  
Omid Barani ◽  
Noor Sharoja Sapiei
Keyword(s):  
Performance Measurement ◽  
Corporate Performance ◽  
Equation Modeling ◽  
Knowledge Assets ◽  
Content Type ◽  
Knowledge Resources ◽  
Measurement Systems ◽  
Resource Orchestration ◽  
Performance Measurement Systems ◽  
The Relationship

Purpose The pivotal role of knowledge management (KM) and its extensive implications have been debated in the academic literature with insufficient focus on its link to particular organizational control mechanisms such as performance measurement systems (PMS). To bridge this gap and building on resource orchestration theory, this paper aims to investigate the relationships between KM factors, PMS and corporate performance. Design/methodology/approach Based on a survey data set of 92 listed companies in Iran, the framework and hypotheses were tested using structural equation modeling (SEM) based on partial least squares (PLS). Findings The SEM-PLS results indicate that knowledge assets are significantly associated with both PMS and corporate performance while knowledge process capabilities (KPC) are not significantly associated with PMS and corporate performance. This study also shows that PMS mediates the relationship between knowledge assets and corporate performance. Practical implications The results suggest that the use of appropriate management control systems plays an effective role in synchronizing, aligning and orchestrating a company’s various knowledge resources, which, in turn, can lead to superior overall performance. Originality/value Building on a unique synthesis of resource orchestration theory and the knowledge-based view of the firm, the results of this study provide the first empirical evidence on how PMS intervenes in the relationship between knowledge resources (knowledge assets and KPC) and corporate performance.

Strategy, Choice of Performance Measures, and Performance

2006 ◽  
Vol 18 (1) ◽  
pp. 185-205 ◽  
Author(s):  
Wim A. Van der Stede ◽  
Chee W. Chow ◽  
Thomas W. Lin
Keyword(s):  
Performance Measurement ◽  
Performance Measures ◽  
Manufacturing Strategy ◽  
Measurement Systems ◽  
Nonfinancial Measures ◽  
Performance Measurement Systems ◽  
And Performance ◽  
The Relationship ◽  
Positive Effect ◽  
Extensive Performance

We examine the relationship between quality-based manufacturing strategy and the use of different types of performance measures, as well as their separate and joint effects on performance. A key part of our investigation is the distinction between financial and both objective and subjective nonfinancial measures. Our results support the view that performance measurement diversity benefits performance as we find that, regardless of strategy, firms with more extensive performance measurement systems—especially those that include objective and subjective nonfinancial measures—have higher performance. But our findings also partly support the view that the strategy-measurement “fit” affects performance. We find that firms that emphasize quality in manufacturing use more of both objective and subjective nonfinancial measures. However, there is only a positive effect on performance from pairing a qualitybased manufacturing strategy with extensive use of subjective measures, but not with objective nonfinancial measures.

scholarly journals A life cycle approach to business performance measurement systems

2018 ◽  
Vol 25 ◽  
pp. 126-133
Author(s):  
Anna Landström ◽  
Peter Almström ◽  
Mats Winroth ◽  
Carin Andersson ◽  
Anna Ericson Öberg ◽  
...  
Keyword(s):  
Life Cycle ◽  
Performance Measurement ◽  
Business Performance ◽  
Life Cycle Approach ◽  
Measurement Systems ◽  
Performance Measurement Systems

Business Performance Analytics: level of adoption and support provided to Performance Measurement Systems

2012 ◽  
pp. 117-142
Author(s):  
Riccardo Silvi ◽  
Monica Bartolini ◽  
Anna Raffoni ◽  
Franco Visani
Keyword(s):  
Decision Making ◽  
Performance Measurement ◽  
Business Performance ◽  
Decision Making Process ◽  
Measurement Systems ◽  
Use Of Data ◽  
Global Companies ◽  
Performance Measurement Systems ◽  
And Performance ◽  
And Control

Despite several studies on the importance of Performance Measurement Systems (PMS), often their implementation is considered insufficient or unsatisfactory. This situation is motivating research on several issues: PMS design and focus, cultural and technological aspects, and the specific contexts of implementation. This paper introduces Business Performance Analytics (BPA) as an important framework for successful PMS design and adoption. Specifically, it defines BPA as the use of data and analytical methods to understand and control business dynamics and performance. Based on an exploratory survey on a group of global companies, the paper highlights the importance of measurement not fully delivered by current PMS, together with a first examination of the implementation of BPA in practice. The analysis shows a low level of adoption of BPA both for strategic and operational decisions. At the same time, companies adopting BPA have a higher perception of relevance of statistical and mathematical tools for supporting the decision-making process. The results also show the presence of the two clusters with very different approaches to performance measurement. The "advanced" one is characterized by the implementation of Business Intelligence tools, together with advanced management accounting and PMS approaches. Compared with the "basic" one, the "advanced" cluster shows a higher perception of BPA effectiveness in supporting the decision-making process and also a higher satisfaction for the contribution provided by the information system to the management action.

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