Evaluation of the Product with Cognitive Mapping Method, One of the Elements of Internet Marketing Mix

Haşıloğlu, Selçuk Burak

doi:10.3923/jas.2009.2606.2612

Cited by 2 publications

(4 citation statements)

References 20 publications

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“…A Cognitive Map (CM), which is an image of cognitive processes (Ulengin and Topc¸u, 1997), is generated from relationships between the ideas and events that are both measurable and immeasurable (Hasıloglu, 2009).…”

Section: Fuzzy Cognitive Mapping (Fcm)mentioning

confidence: 99%

“…The origin of FCM Method is cognitive mapping method (Bueno and Salmeron, 2009;Salmeron, 2009), an illustrative causative representation of complex systems and enabling to model the dynamic behaviour of systems (Papakostas et al, 2008). A Cognitive Map (CM), which is an image of cognitive processes (Ulengin and Topc¸u, 1997), is generated from relationships between the ideas and events that are both measurable and immeasurable (Hasıloglu, 2009). FCM is generated by Kosko in 1986 as a combination of fuzzy logic and neural networks (Kandasamy and Smarandache, 2003;Tsadiras, 2008) from the classical cognitive mapping method (Papakostas et al, 2008) based on the Graph Theory (C¸oban and Sec¸me, 2002) in order to create models as collections of concepts and the various causal relations that exist between these concepts (Tsadiras, 2008).…”

Section: Fuzzy Cognitive Mapping (Fcm)mentioning

confidence: 99%

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

Kutlu

Kadaifçi

2014

Journal of Enterprise Information Management

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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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Section: Fuzzy Cognitive Mapping (Fcm)mentioning

confidence: 99%

Section: Fuzzy Cognitive Mapping (Fcm)mentioning

confidence: 99%

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

Kutlu

Kadaifçi

2014

Journal of Enterprise Information Management

View full text Add to dashboard Cite

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“…On the other hand, the hierarchy index (h) implies the democracy within the variables. If h = 0, then the map is fully democratic and if h = 1, then the map is fully hierarchical [34,35].…”

Section: Fuzzy Cognitive Mapsmentioning

confidence: 98%

“…If the relationship is negative, then the ith row and jth column of the matrix is -1 and lastly if there is no relationship, the i th row and j th column of the matrix is 0. Finally, it is assumed that any variable does not affect itself, therefore the diagonal of the pairwise comparison matrix is 0 [35].…”

Section: Fuzzy Cognitive Mapsmentioning

confidence: 99%

Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks

Altay

Kayakutlu

2011

Procedia Computer Science

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Factor or criteria prioritization is essential for decision making and planning. In most areas in decision making, integrating the related literature yields an exuberance of criteria which leads a robust decision. Yet, an excess number of criteria may handicap decision making or evaluations in terms of computational time and complexity. In these circumstances, decreasing the number of factors in exchange for a negligible amount of knowledge can emancipate the decision maker yet does not affect the quality of the decision. This elimination can be conducted through qualitative methods such as interviews or quantitative methods. However, quantitative methods are more trustworthy since qualitative methods can be deceptive due to the perceptions of the interviewee. Furthermore, working with larger groups is more prone to neutrality in terms of group thinking. On the subject of innovative power and risks, the literature offers 48 criteria depending on the industry, size or demographics of related companies. Prioritizing and working with these criteria for their decision making applications becomes computationally expensive, especially when embedded in more complex algorithms. In this study, 48 criteria will be reduced using Fuzzy Cognitive Maps and it is believed to provide a sufficient number of criteria with a negligible loss of information and comparisons will be conducted.

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Evaluation of the Product with Cognitive Mapping Method, One of the Elements of Internet Marketing Mix

Cited by 2 publications

References 20 publications

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

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

Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks

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