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Article
Publication date: 1 March 1988

Peter F. Atrill

The purpose of the article is to provide information concerning the attitude of finance directors, investment analysts and technical partners of professional accountancy firms…

70

Abstract

The purpose of the article is to provide information concerning the attitude of finance directors, investment analysts and technical partners of professional accountancy firms towards the major issues in interim reports which should in turn contribute towards the development of successful accounting policies.

Details

Management Research News, vol. 11 no. 3
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 1 January 1987

P.F. Atrill, T. Mangles and E.J. McLaney

The relative accuracy of profit forecasts was analysed for six firms of brokers. ANOVA was used to look first at performance across industrial sectors, then between industries…

135

Abstract

The relative accuracy of profit forecasts was analysed for six firms of brokers. ANOVA was used to look first at performance across industrial sectors, then between industries. Individual broker's forecasts were significantly different in accuracy on the first measure and in general levels of accuracy between industries in the second. When a consensus forecast was calculated this always performed worse than the best individual.

Details

Management Research News, vol. 10 no. 1
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 1 April 1970

May THU.7. Aslib Northern Branch Annual General Meeting. Bisra, Sheffield. 2 p.m.

19

Abstract

May THU.7. Aslib Northern Branch Annual General Meeting. Bisra, Sheffield. 2 p.m.

Details

Aslib Proceedings, vol. 22 no. 4
Type: Research Article
ISSN: 0001-253X

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Article
Publication date: 28 December 2023

Anthony Bagherian, Mark Gershon and Sunil Kumar

Numerous attempts at installing six sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and…

126

Abstract

Purpose

Numerous attempts at installing six sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. In this study the research has aimed to highlight that a considerable number of corporate SS initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.

Design/methodology/approach

To validate the influence of critical success factors (CSFs) on SS accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. A Likert-scale questionnaire was utilized, and a simple random sampling method was employed to gather data. Out of the 2,325 potential participants approached, 573 responses were received, primarily from Germany, the United Kingdom and Sweden. The analysis focused on 260 completed questionnaires and statistical methods including structural equation modeling (SEM), exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized for data analysis.

Findings

The study acknowledged four essential components of CSFs that are imperative for sustaining the success of SS: (1) Competence of belt System employees; (2) Project management skills; (3) Organizational economic capability and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of SS’s success.

Practical implications

The practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their SS practices.

Originality/value

The investigation's originality lies in its contribution to assessing CSFs in SS deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.

Details

The TQM Journal, vol. 37 no. 2
Type: Research Article
ISSN: 1754-2731

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