The Mediating Role Of Performance Measurement Systems In The Relationship Between Contingent Variables And Organizational Performance In Jordanian Financial Companies :, A Contingency Perspective

2017 ◽  
pp. 517
Author(s):  
Seif Obeid Alshbiel
Keyword(s):  
Performance Measurement ◽  
Organizational Performance ◽  
Measurement Systems ◽  
Mediating Role ◽  
Contingency Perspective ◽  
Performance Measurement Systems ◽  
The Relationship

The Roles of Organizational Politics and Fairness in the Relationship between Performance Management Systems and Trust

2015 ◽  
Vol 27 (1) ◽  
pp. 25-53 ◽  
Author(s):  
Chong M. Lau ◽  
Glennda Scully
Keyword(s):  
Performance Management ◽  
Performance Measures ◽  
Organizational Politics ◽  
Measurement Systems ◽  
Fairness Perceptions ◽  
Mediating Role ◽  
Perceptions Of Fairness ◽  
Performance Measurement Systems ◽  
Financial Performance Measures ◽  
The Relationship

ABSTRACT Organizational politics is ubiquitous in organizations. Yet to date, no prior research has investigated, in a systematic empirical manner, the mediating role of organizational politics in performance measurement systems. The primary purpose of this research is to investigate if perceptions of organizational politics mediate the relationships between performance measures and employees' trust in their superiors. As organizational politics may also affect employees' perceptions of fairness, a model is used to investigate (1) if performance measures affect organizational politics; (2) if organizational politics, in turn, affects procedural and interpersonal fairness; and (3) if fairness perceptions subsequently affect trust in superiors. Based on a sample of 104 responses, the partial least squares results indicate that organizational politics and fairness perceptions significantly mediate the nonfinancial performance measures and trust relationship. In contrast, the results indicate that the mediating effects of organizational politics and fairness on the relationship between financial performance measures and trust are generally insignificant.

scholarly journals Factors affecting the organizational performance of manufacturing firms

2017 ◽  
Vol 9 ◽  
pp. 184797901771262 ◽  
Author(s):  
Ahmad Adnan Al-Tit
Keyword(s):  
Organizational Performance ◽  
Measurement Instrument ◽  
Manufacturing Firms ◽  
Factors Affecting ◽  
Mediating Role ◽  
Values And Beliefs ◽  
The Individual ◽  
The Impact ◽  
The Relationship

Numerous studies have been conducted to explore the individual effects of organizational culture (OC) and supply chain management (SCM) practices on organizational performance (OP) in different settings. The aim of this study is to investigate the impact of OC and SCM on OP. The sample of the study consisted of 93 manufacturing firms in Jordan. Data were collected from employees and managers from different divisions using a reliable and valid measurement instrument. The findings confirm that both OC and SCM practices significantly predict OP. The current study is significant in reliably testing the relationship between SCM practices and OP; however, it is necessary to consider cultural assumptions, values and beliefs as the impact of OC on OP is greater than the impact of SCM practices. Based on the results, future studies should consider the moderating and mediating role of OC on the relationship between SCM practices and OP.

Executing strategy through comprehensive performance measurement systems

2017 ◽  
Vol 37 (4) ◽  
pp. 423-443 ◽  
Author(s):  
Pietro Micheli ◽  
Matteo Mura
Keyword(s):  
Performance Measurement ◽  
Performance Indicators ◽  
Company Performance ◽  
Content Type ◽  
Cost Leadership ◽  
Measurement Systems ◽  
Comprehensive Performance ◽  
Different Types ◽  
Performance Measurement Systems

Purpose The purpose of this paper is to investigate the mediating role of comprehensive performance measurement systems (PMS) – i.e. measurement systems that comprise financial and non-financial indicators, and which also consist of indicators related to different aspects of an organisation’s operations – in the relationship between strategy and company performance. Design/methodology/approach Survey data of top managers of large European companies were collected and analysed by means of exploratory factor analyses and hierarchical regressions in order to validate the proposed hypotheses. Findings This research shows that different strategies lead to the use of different types of performance indicators. Also, it finds that the utilisation of a comprehensive PMS enables the implementation of both differentiation and cost-leadership strategies. Specifically, a comprehensive PMS positively mediates the effect of differentiation strategy on organisational and innovative performance, and of cost-leadership strategy on organisational performance. Research limitations/implications Further research could be undertaken in other contexts and consider additional factors, such as the structure, maturity and different uses of PMS, and the cost of measuring performance. Qualitative studies could examine the role of PMS in dynamic environments, as well as the evolution of PMS during strategic transitions. Practical implications Greater consideration should be given to the utilisation of different types of performance indicators when implementing and re-formulating strategy. Originality/value This study clarifies the links between strategy and performance measurement, and it is the first to identify the mediating effect of comprehensive PMS between strategy and company performance.

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.

The mediating role of fairness on the effectiveness of strategic performance measurement systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kevin Baird ◽  
Sophia Xia Su ◽  
Nuraddeen Nuhu
Keyword(s):  
Performance Appraisal ◽  
Human Resource ◽  
Performance Measures ◽  
Content Type ◽  
Strategic Performance ◽  
Measurement Systems ◽  
Mediating Role ◽  
Performance Measurement Systems ◽  
Insight Into

PurposeThis study examines the mediating role of the fairness of performance appraisal on the association between the extent of use of strategic performance measurement systems (SPMSs) with SPMS effectiveness.Design/methodology/approachData were collected using an online survey distributed to 656 Australian middle and lower level managers.FindingsThe findings reveal that informational fairness mediates the association between SPMSs (link to value drivers and the use of multidimensional performance measures) with performance-related outcomes; procedural fairness mediates the association between SPMSs (link to strategy and the use of multidimensional performance measures) with staff-related outcomes and distributive fairness mediates the association between the use of SPMSs (all three types) with both performance and staff-related outcomes.Originality/valueThe study provides a unique insight into the importance of fairness (the distributive, informational and procedural fairness of the performance appraisal system) in mediating the associations between the extent of use of SPMSs and SPMS effectiveness. The findings contribute to the human resource management (HRM) “black box” literature by providing an insight into the behavioural mechanism through which a specific human resource management practice (i.e. the SPMS) influences organisational performance.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

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