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Article
Publication date: 30 August 2011

Madjid Tavana, Amir Karbassi Yazdi, Mehran Shiri and Jack Rappaport

This paper aims to propose a new benchmarking framework that uses a series of existing intuitive and analytical methods to systematically capture both objective data and…

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Abstract

Purpose

This paper aims to propose a new benchmarking framework that uses a series of existing intuitive and analytical methods to systematically capture both objective data and subjective beliefs and preferences from a group of decision makers (DMs).

Design/methodology/approach

The proposed framework combines the excellence model developed by the European Foundation for Quality Management with the Rembrandt method, the entropy concept, the weighted‐sum approach, and the theory of the displaced ideal. Hard data and personal judgments are synthesized to evaluate a set of business units (BUs) with two overall performance scores plotted in a four quadrant model.

Findings

The two performance scores are used to benchmark the performance of the BUs in accordance with their Euclidean distance from the “ideal” BU. Quadrants are used to classify the BUs as efficacious, productive ineffectual, proficient unproductive, and inefficacious. The efficacious BUs, referred to as “excellent”, fall in the competency zone and have the shortest Euclidean distance from the ideal BU relative to their peers.

Originality/value

The benchmarking framework presented in this study has some obvious attractive features. First, the generic nature of the framework allows for the subjective and objective evaluation of a finite number of BUs by a group of DMs. Second, the information requirements of the framework are stratified hierarchically allowing DMs to focus on a small area of the large problem. Third, the framework does not dispel subjectivity; it calibrates the subjective weights with the objective weights determined through the entropy concept.

Article
Publication date: 24 September 2019

Somayeh Tajik, Kevan Jacobson, Sam Talaei, Hamed Kord-Varkaneh, Zeinab Noormohammadi, Ammar Salehi-Sahlabadi, Mehran Pezeshki, Jamal Rahmani and Azita Hekmatdoost

The results of human studies evaluating the efficacy of plant Phytosterols on liver function were inconsistent. Therefore, the purpose of this paper is to eliminate these…

Abstract

Purpose

The results of human studies evaluating the efficacy of plant Phytosterols on liver function were inconsistent. Therefore, the purpose of this paper is to eliminate these controversies about the Phytosterols consumption on liver serum biochemistry in adult subjects.

Design/methodology/approach

The literatures systematically searched throughout PubMed and Scopus databases up to June 2018; it was conducted by using related keywords. Estimates of effect sizes were expressed based on weighted mean difference (WMD) and 95% CI from the random-effects model (erSimonian and Laird method). Heterogeneity across studies was assessed by using I2 index. Eighteen studies reported the effects of Phytosterols (PS) supplementation on liver serum biochemistry.

Findings

The current meta-analysis did not show a significant effect on ALT (MD: 0.165 U/L, 95% CI: −1.25, 1.58, p = 0.820), AST (MD: −0.375 IU/Liter, 95% CI: −1.362, 0.612, p = 0.457), ALP (MD: 0.804 cm, 95% CI: −1.757, 3.366, p = 0.538), GGT (MD: 0.431 U/L, 95% CI: −1.803, 2.665, p = 0.706) and LDH (MD: 0.619 U/L, 95% CI: −4.040, 5.277, p = 0.795) following PS consumption.

Originality/value

The authors found that no protective or toxic effects occur after the consumption of Phytosterols on liver enzymes including ALT, AST, ALP, LDH and GGT.

Article
Publication date: 9 January 2024

Meltem Altin

The purpose of this study is to investigate the impact of audit committee characteristics on firm performance. In particular, the authors employ the random-effects variant of the…

Abstract

Purpose

The purpose of this study is to investigate the impact of audit committee characteristics on firm performance. In particular, the authors employ the random-effects variant of the Hunter–Schmidt meta-analyze procedure to analyze the effects of key audit committee attributes, namely audit committee independence, audit committee expertise, audit committee size, audit committee meeting along with big four impact on firm performance. The authors hope to gain a better understanding of the function of audit committees in enhancing firm performance and to uncover potential discrepancies in prior findings due to varying economic levels or performance metrics.

Design/methodology/approach

This study uses the Hunter–Schmidt method to conduct a meta-analysis of 39 previous studies published between 2012 and 2022 to investigate the relationship between audit committee characteristics and firm performance.

Findings

The results indicate that audit committee independence, expertise, size and affiliation with the big four have a significant and positive effect on firm performance, while audit committee meetings have a non-significant effect. Furthermore, findings suggest that companies should carefully consider the contextual factors that may impact the effectiveness of their corporate governance structures, such as economic level, when designing and implementing governance mechanisms.

Originality/value

This study is significant as it is the first to combine and analyze previous research on this topic and highlights the importance of certain audit committee characteristics in enhancing financial reporting quality and corporate governance.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

Keywords

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