Augmented fuzzy cognitive maps for modelling LMS critical success factors

This paper reports on a comparative quasi-experiment of how perceptions of entrepreneurial growth strategies differ between students, managers and technology entrepreneurs. The differences in perceptions as to what critical factors drive three strategies: no growth, market share growth and annual profit growth across to stages: start-up and take-off are measured. The ranks of the critical success factors are the dependent measures and the strategies and the phases the independent variables. Results show that experience impacts the ability to distinguish between strategies. Results also show that the perceptions of the critical success factors significantly differ between the groups. Hence even experience will yield quite different cognitive maps.

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Analyzing critical success factors of total quality management by using fuzzy cognitive mapping

Journal of Enterprise Information Management ◽

10.1108/jeim-06-2012-0032 ◽

2014 ◽

Vol 27 (5) ◽

pp. 561-575 ◽

Cited By ~ 10

Author(s):

Ahmet Can Kutlu ◽

Cigdem Kadaifci

Keyword(s):

Quality Management ◽

Total Quality Management ◽

Critical Success Factors ◽

Success Factors ◽

Empirical Studies ◽

Dynamic Modelling ◽

Fuzzy Cognitive Maps ◽

Total Quality ◽

Content Type ◽

Critical Success

Purpose – Total quality management (TQM) is a process and philosophy to achieve customer satisfaction in long term by improving the products, processes and services effectively and efficiently. TQM implementation is turning into a complex practice due to the increasing number of effective factors and key elements labelled as critical success factors (CSFs). The purpose of this paper is to analyse the relations between CSFs of TQM and to provide decision makers has a clear picture of relations by determining the most affecting – both the number of CSFs which this factor affects and the its effect degree on relevant CSFs are higher comparing to other factors – of this factors affected factors – both the number of CSFs and their effect degree on these factors are higher – that influences a successful TQM implementation. Design/methodology/approach – The paper refers to fuzzy cognitive maps (FCMs) that allow dynamic modelling of a system in consideration of a complex network structure and the effects of factors to each other. The method demonstrates causal representations between CSFs under uncertainty to represent the relations and interaction between them and performs qualitative simulations to analyse the factors that have the highest impact on continuous improvement of quality management process. The evaluations are performed by five academicians whose professions are on both the areas of TQM and FCM. Findings – FCM analysis shows how the most affecting and affected factors influence the other CSF in order to manage a successful TQM implementation. Originality/value – The critical factors of TQM implementation are in the focus of most of the empirical studies in the literature. However, none of them considers the dynamic interactions between the factors. This study employs FCM to explore the CSFs that influence the TQM implementation process considering the relations among them to observe the most affecting and affected factors based on the changes of determined CSFs.

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Critical Success Factors for Twinning Measure

PsycTESTS Dataset ◽

10.1037/t73901-000 ◽

2018 ◽

Author(s):

Franka Cadée ◽

Marianne J. Nieuwenhuijze ◽

Antoine L. M. Lagro-Janssen ◽

Raymond de Vries

Keyword(s):

Critical Success Factors ◽

Success Factors ◽

Critical Success

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Investigating the Critical Success Factors for Small Contractors to Implement Sustainable Construction

ICCREM 2020 ◽

10.1061/9780784483237.031 ◽

2020 ◽

Author(s):

Wenque Liu ◽

Ming Shan ◽

Bongang Hwang ◽

Junming Lye

Keyword(s):

Critical Success Factors ◽

Success Factors ◽

Sustainable Construction ◽

Critical Success

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Critical Success Factors in Russian R&D Projects in the Real Economy

Voprosy Ekonomiki ◽

10.32609/0042-8736-2010-11-41-61 ◽

2010 ◽

pp. 41-61

Author(s):

V. Andreev

Keyword(s):

Empirical Research ◽

Critical Success Factors ◽

Success Factors ◽

Innovation Process ◽

Real Economy ◽

Key Factors ◽

Industrial Products ◽

Successful Development ◽

The Real ◽

Critical Success

The article discusses the concept of "success" in relation to innovative business and its performance. The quantity of innovative projects that can consistently overcome the stages of the innovation process to achieve the desired result is defined. The author presents the results of empirical research of successful and unsuccessful projects of leading Russian innovative companies in various industries, identifies key factors of successful development of new industrial products.

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