Modeling and Analysis of Critical Success Factors in the Implementation of Second Life in Virtual Classrooms for Teaching in Education Using Fuzzy Cognitive Maps

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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Modeling and Analysis of Critical Success Factors for Implementing the IT-Based Supply-Chain Performance System

Lecture Notes on Multidisciplinary Industrial Engineering - Operations Management and Systems Engineering ◽

10.1007/978-981-13-6476-1_4 ◽

2019 ◽

pp. 51-67

Author(s):

Mohit Tyagi ◽

Dilbagh Panchal ◽

Ravi Pratap Singh ◽

Anish Sachdeva

Keyword(s):

Supply Chain ◽

Critical Success Factors ◽

Success Factors ◽

Supply Chain Performance ◽

Modeling And Analysis ◽

Critical Success ◽

Performance System

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Critical success factors of adapting heritage buildings: an exploratory study

Built Environment Project and Asset Management ◽

10.1108/bepam-01-2015-0002 ◽

2016 ◽

Vol 6 (1) ◽

pp. 44-57 ◽

Cited By ~ 24

Author(s):

Kristy Dyson ◽

Jane Matthews ◽

Peter E.D. Love

Keyword(s):

Second Life ◽

Critical Success Factors ◽

Success Factors ◽

Project Teams ◽

Structured Interviews ◽

Content Type ◽

Critical Success ◽

Key Stakeholders ◽

Exploratory Approach ◽

Heritage Buildings

Purpose – The loss of heritage buildings should be avoided as they provide a tangible example of a period of life that is now gone. Adaptive re-use enables buildings to be given a second life, enabling them to live on when they may have been previously underutilized. Changing the capacity, function or performance of underutilized buildings for a different purpose, or to suit new conditions, or making use of pre-existing structural elements has become necessary to preserve heritage buildings. The purpose of this paper is to identify the critical success factors (CSF) for the adaptive re-use of heritage buildings. Design/methodology/approach – Identification of CSF for adaptive re-use can provide asset owners, developers and key stakeholders with the knowledge needed to ensure a project is delivered successfully. Due to a lack of research in the area of CSF for heritage buildings, an exploratory approach was undertaken. Semi-structured interviews were undertaken with stakeholders to solicit their views as to CSFs that lead to the successful adaption of all heritage buildings that had been subjected to re-use program in Perth, Western Australia, were examined. Findings – Four CSFs were identified: research; matching function; function; and design and minimal change. It is proffered that by addressing the CSFs issues associated with latent conditions, building layout and commercial risk and uncertainty can be addressed. Yet, the Building Code of Australia will continue to be the most significant issue for owners/developers and project teams who embrace an adaptive re-use project. Originality/value – To date there has been limited research undertaken with regard to determining the CSF for heritage buildings that have been subjected to adaptive re-use. The work presented in this paper identifies the key CSFs that emerged from the stock of heritage building’s in Perth, WA. Further research is required to determine the validity of the CSFs, however, those identified provide a benchmark for further studies in this fertile area.

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Modeling and Analysis of the Critical Success Factors in Fresh Food Processing Supply Chain

International Journal of Logistics Systems and Management ◽

10.1504/ijlsm.2020.10035385 ◽

2020 ◽

Vol 1 (1) ◽

pp. 1

Author(s):

Shaik Riyaz ◽

Vijay Prakash Sharma ◽

Lalit Kumar Sharma ◽

Gunjan Soni ◽

Surya Prakash

Keyword(s):

Supply Chain ◽

Food Processing ◽

Critical Success Factors ◽

Success Factors ◽

Modeling And Analysis ◽

Critical Success ◽

Fresh Food

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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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