Search results

1 – 10 of over 84000
To view the access options for this content please click here
Book part
Publication date: 23 December 2010

Md. Habib-Uz-Zaman Khan, Rafiuddin Ahmed and Abdel Karim Halabi

Aim – This empirical study explores the association between competition, business strategy, and the uses of a multiple performance measurement system in Bangladesh…

Abstract

Aim – This empirical study explores the association between competition, business strategy, and the uses of a multiple performance measurement system in Bangladesh manufacturing firms.

Design/methodology – The study uses a questionnaire survey of 50 manufacturing companies. Data were analyzed using multiple regression analysis and other descriptive statistics.

Findings – The results suggest that greater emphasis on multiple measures for performance evaluation is associated with businesses that are facing high competition. The practices of multiple performance measures are also significantly related to the types of business strategy being followed. Specifically, firms pursuing a prospector strategy have relied more on multiple performance measures to rate business performance than the firms pursuing a defender strategy.

Practical implications – The article notes that the designers of performance measurement systems need to consider contingent factors that affect an organizations’ control system.

Originality/value – Substantiating the connection between contingent variables and the use of multiple performance measures in manufacturing firms facilitate a better acceptance of firms’ tendency toward new measurement tools. The study contributes to the performance measurement and contingency literature since it presents empirical evidence of the state of multiple performance measures with organizational contingent variables using a developing country's manufacturing sector data.

Details

Research in Accounting in Emerging Economies
Type: Book
ISBN: 978-0-85724-452-9

Keywords

To view the access options for this content please click here
Article
Publication date: 18 January 2008

Ruzita Jusoh, Daing Nasir Ibrahim and Yuserrie Zainuddin

The purpose of this paper is to contribute to the body of knowledge in the area of performance measurement systems, particularly the BSC framework, by investigating…

Abstract

Purpose

The purpose of this paper is to contribute to the body of knowledge in the area of performance measurement systems, particularly the BSC framework, by investigating empirically the extent of multiple performance measures usage and their effects on the performance of Malaysian manufacturers.

Design/methodology/approach

The paper used a mail‐survey of companies listed in the Directory of the Federation of Malaysian Manufacturers (FMM), year 2003. The FMM Directory provides a database of over 2,000 manufacturing firms of various sizes producing a broad range of products. The FMM Directory was utilized because it specifically covers manufacturers and manufacturing‐related services. A simple random sample of 975 companies located in West Malaysia was drawn. Companies with at least 25 employees and annual sales turnover of at least RM10 million were selected. A total of 120 usable responses were gathered and used in the data analysis.

Findings

The findings suggest that the use of non‐financial measures, particularly, internal business process and innovation and learning measures, appears to be important as it enhances firm performance. More interesting, the findings reveal that the use of multiple performance measures via overall BSC measures contributes to a more positive outcome.

Research limitations/implications

The paper shows that the FMM Directory is not an exhaustive list, and may not represent the whole population of Malaysian manufacturers. The sample size is not overwhelming and confined to the manufacturing sector only. Furthermore, the use of cross‐sectional data could not find consistent association between non‐financial measures and future performance.

Originality/value

The paper shows that one important practical implication is for the designers of control and performance measurement systems to emphasize the use of multiple performance measures that are fundamental to the success of organizations.

Details

International Journal of Productivity and Performance Management, vol. 57 no. 2
Type: Research Article
ISSN: 1741-0401

Keywords

To view the access options for this content please click here
Article
Publication date: 1 August 1990

Marilyn S. Jones and Roberta S. Russell

While it is well known that managers make scheduling decisionsbased on multiple objectives, the majority of sequencing research isdirected towards single criterion…

Abstract

While it is well known that managers make scheduling decisions based on multiple objectives, the majority of sequencing research is directed towards single criterion assessments of scheduling performance. A preference value decision model approach for the selection of job shop sequencing rules using multiple performance criteria is presented. The model is general in nature and may be applied to any of a number of sequencing rules and performance measures. A case example is provided to illustrate the procedure.

Details

International Journal of Operations & Production Management, vol. 10 no. 8
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 1 June 2010

Mahfud Sholihin, Richard Pike and Musa Mangena

The performance measurement literature suggests that companies should consider increasing the diversity of their performance measures to embrace both financial and…

Abstract

Purpose

The performance measurement literature suggests that companies should consider increasing the diversity of their performance measures to embrace both financial and non‐financial measures. The purpose of this paper is to examine whether the use of multiple performance measures which includes both financial and non‐financial measures in evaluating subordinates' performance (reliance on multiple performance measures (RMPM)) affects their performance, or whether the effect is contingent on the specificity and difficulty of the goals contained in the measures.

Design/methodology/approach

A questionnaire survey to various functional managers within a single organization supported by interviews.

Findings

The effect of RMPM on subordinate managers' performance is contingent on goal specificity. However, the paper does not find the same results for goal difficulty. These findings are discussed within the context of the organization studied.

Research limitations/implications

The samples are from a single organization. Further work would be needed to examine whether the results are generalizable into other organizations and/or settings.

Practical implications

The paper provides insight on how performance measures used to evaluate managers should be designed.

Originality/value

This paper contributes to the literature on supervisory evaluative style, performance measure diversity and goal‐setting theory.

Details

Journal of Applied Accounting Research, vol. 11 no. 1
Type: Research Article
ISSN: 0967-5426

Keywords

To view the access options for this content please click here
Book part
Publication date: 3 May 2012

Bruce R. Neumann, Eric Cauvin and Michael L. Roberts

In the growing debate about designing new management control systems (MCS) to include stakeholder values, there has been little discussion about information overload…

Abstract

In the growing debate about designing new management control systems (MCS) to include stakeholder values, there has been little discussion about information overload. Stakeholder advocates call for including more environmental and related social disclosures but do not consider how information overload might impair the use and interpretation of corporate performance measures. As we know, shareholders and boards of directors are most concerned with market data such as earnings per share, dividend rates, and market value growth. In this chapter, we assert that management control system designers must consider information overload before expanding the MCS to include social and nonfinancial disclosures.

The paradox in expanding MCS is that demand for sustainability performance measures will likely result in overload for both information preparers and information users. Corporate Social Responsibility (CSR) and similar sustainability disclosures are likely to overload MCS and overwhelm the readers and users by performance reports that include multiple dimensions.

CSR affects the design of companies' annual reports because stakeholders are increasingly concerned with how organizations address their social responsibilities and how they disclose their societal responses. Management accountants are accustomed to providing performance measures within an organization and MCS usually have an internal focus. CFOs are often not accustomed to balancing the needs of stakeholders with those of managers and owners. We suggest that companies and CFOs will face an information overload dilemma in making these determinations, and that users will be overloaded in sifting through the multiple dimensions of information that are increasingly being provided. We suggest that the bias toward financial performance measures will distort both the provision of relevant information and the use of sustainability performance measures. We modified the Epstein and Roy sustainability model (2001) to illustrate some of these potential impacts.

We note that the balanced scorecard (BSC) was developed as one such tool to reflect and communicate multiple measures. We summarize a previous study showing how managers ignored multiple performance measures in a performance scorecard study. We then relate our results to some of the information overload literature to support our suggestion that stakeholders will face many of the same information overload issues and constraints when using and processing social disclosures.

Our summary of the information overload literature results in a call for more interdisciplinary information overload research involving real-world contexts and tasks. We note that most of the extant information overload literature is restricted to discipline-based silo-oriented studies and to simplistic evaluations, brand identification, or forecasting tasks. Our study went into some depth to describe the business, its strategies and objectives, and a comparison of actual results to specific goals. As management control systems evolve or are designed to report sustainability data, the issues surrounding increasing complexity and information overload will become exponentially problematic. We suggest that future research also include consideration of information overload conditions facing preparers and disclosers of sustainability measures.

To view the access options for this content please click here
Article
Publication date: 4 April 2020

Thomas L. Powers, Karen Norman Kennedy and Seongwon Choi

This paper aims to contribute industrial marketing literature by examining the relationship between market orientation and performance based on multiple perspectives and…

Abstract

Purpose

This paper aims to contribute industrial marketing literature by examining the relationship between market orientation and performance based on multiple perspectives and measures. Although the relationship between market orientation and firm performance has been examined in prior research a gap in the literature exists, as this relationship has not been examined from separate perspectives of managers, salespersons and customers. In addition to this gap in the literature, a further gap exists as these multiple assessments of market orientation have not been examined relative to both subjective and objectives measures of industrial firm performance.

Design/methodology/approach

The research is based on data obtained from 111 sales branches of a Fortune 500 industrial supplier.

Findings

The results indicate that managers, salespersons and customers all indicate a positive relationship between market orientation and perceived performance. Market orientation and actual branch performance were not related when assessed by any of the three respondent groups. Only salespersons were able to significantly relate perceived firm performance to actual performance.

Research limitations/implications

These findings add a new dimensions to the existing stream of literature on the industrial marketing orientation and performance relationship.

Originality/value

These findings add new dimensions to the existing stream of literature on the industrial marketing orientation and performance relationship.

Details

Journal of Business & Industrial Marketing, vol. 35 no. 11
Type: Research Article
ISSN: 0885-8624

Keywords

To view the access options for this content please click here
Article
Publication date: 3 July 2009

Manoochehr Najmi, Rahim Ehsani, Ahmad Sharbatoghlie and Mohammad Saidi‐Mehrabad

The purpose of this paper is to develop an integrated dynamic model, based on empirical findings, which can be used in research centers for evaluating the performance of…

Abstract

Purpose

The purpose of this paper is to develop an integrated dynamic model, based on empirical findings, which can be used in research centers for evaluating the performance of research projects by using multiple attribute utility theory.

Design/methodology/approach

In developing the model, the measures by which the performance of research projects could be evaluated are identified by Delphi method and group decision making. These measures are categorized into three general success factors of time, cost and quality. Then a multi‐attribute utility function is applied to integrate these dimensions to determine the utility resulting from the performance of the project.

Findings

Through literature review it is evident that some evaluation techniques such as checklists, scoring models, analytical hierarchy process and engineering economic techniques have been developed for evaluating performance of projects. The present model complements and improves upon the existing models.

Research limitations/implications

The parameters of model are determined based on research center's policy but they may be changed for other research centers. So the model depends on the expert's view. The model is not considered advantageous in situations where project gets ahead of program.

Practical implications

The model is tested in an engineering research institute and the comparison is made with the results of the existing models.

Originality/value

The advantage of proposed model is its flexibility, dynamism and the capability to revise the model based on any changes in the objectives and policies of the research center.

Details

Journal of Modelling in Management, vol. 4 no. 2
Type: Research Article
ISSN: 1746-5664

Keywords

To view the access options for this content please click here
Article
Publication date: 8 January 2018

Raid Al-Aomar and Sohail Chaudhry

The purpose of this paper is to develop a simulation-based value function (VF) that combines multiple key performance indicators (KPIs) into a unified Sigma rating (SR…

Abstract

Purpose

The purpose of this paper is to develop a simulation-based value function (VF) that combines multiple key performance indicators (KPIs) into a unified Sigma rating (SR) for system-level performance assessment and improvement.

Design/methodology/approach

Simulation is used as a platform for assessing the multiple KPIs at the system level. A simple additive VF is formed to combine the KPIs into a unified SR using the analytical hierarchy process and the entropy method. Value mapping is utilized to resolve the conflict among KPIs and generate a unified value. These methods are integrated into the standard Six Sigma define-measure-analyze-improve-control (DMAIC) process.

Findings

Simulation results provided the Six Sigma DMAIC process with system-level performance measurement and analysis based on multiple KPIs. The developed VF successfully generated unified SRs that were used to assess various performance improvement plans.

Research limitations/implications

The accuracy and credibility of the results obtained from using the proposed VF are highly dependent on the availability of pertinent data and the accuracy of the developed simulation model.

Practical implications

The proposed approach provides Six Sigma practitioners and performance mangers with a mechanism to assess and improve the performance of production and service system based on multiple KPIs when conducting Six Sigma studies.

Originality/value

This paper contributes to the previous research by handling multiple KPIs in Six Sigma studies conducted at the system level using simulation and VF. The research also provides guidelines for using the different methods of weights assessment to form the VF within the DMAIC process.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

To view the access options for this content please click here
Book part
Publication date: 8 June 2007

Robert H. Ashton

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality…

Abstract

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

Details

Advances in Management Accounting
Type: Book
ISBN: 978-0-7623-1387-7

To view the access options for this content please click here
Article
Publication date: 5 February 2018

Henry H. Bi

The Program for International Student Assessment (PISA) measured 15-year-olds’ performance in mathematics, reading, and science. The purpose of this paper is to use the…

Abstract

Purpose

The Program for International Student Assessment (PISA) measured 15-year-olds’ performance in mathematics, reading, and science. The purpose of this paper is to use the assessment results of PISA 2006, 2009, and 2012 to benchmark the compulsory education performance of 65 countries and economies with emphasis on two benchmarking steps: identifying benchmarks and determining performance gaps.

Design/methodology/approach

The authors use a multi-criterion and multi-period performance categorization method to identify a group of best performers as benchmarks. Then, the authors use two-sample t-tests to detect against benchmarks whether each country or economy has significant performance gaps on individual performance measures.

Findings

Based on the mean scores of three assessment subjects in PISA 2006, 2009, and 2012, six best performers (Top-6) are identified from 65 participating countries and economies. In comparison with Top-6’s weighted averages, performance gaps are found for most countries and economies on the mean score of each subject, the percentage of top-performing students in all three subjects, and the percentage of lowest-performing students in each subject.

Originality/value

For compulsory education systems around the world, this paper provides an original categorization of performance based on the results of three PISA cycles, and provides new insights for countries and economies to prioritize improvement efforts to increase average performance, pursue excellence, and tackle low performance. For benchmarking applications involving multi-criterion and multi-period data, this paper presents a novel method of using statistical control charts to identify benchmarks and then using two-sample t-tests to determine performance gaps on individual performance measures.

Details

Benchmarking: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of over 84000