Further Developments on Application of Dynamic Fuzzy Cognitive Map Concept for Digital Business Models

Xie, Weimin; Makki, Behrooz

doi:10.1007/s40815-020-00955-1

Cited by 2 publications

(1 citation statement)

References 28 publications

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“…Furthermore, Xie and Makki (2020) applied FCM concepts to study the digital marketing transformation of firms' business models, where big data, web analytics, and DCM play a crucial role (Dairo & Szűcs, 2021). Such fuzzy analytics tend to exploit digital and consumer marketing to enhance firms' performance (Dairo & Szűcs, 2021).…”

Section: Related Research and Fuzzy Cognitive Methodsmentioning

confidence: 99%

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Sakas,

Giannakopoulos,

Panagiotou

et al. 2023

JCCE

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Throughout crises and financial prosperity, the role and influence of small and medium supply chain enterprises (SMEs) have been solid and key factors for the economic growth of global markets. Hence, a great need arises for digital promotion to keep up with recent technological advancements. Such an aim could be achieved by SMEs in the supply chain by optimizing the results of their websites in search engines and utilizing the digital content (DC) of their web pages. This research is focused on the optimization of supply chain SMEs' search engine results from the efficient management of their DC. The authors collected big data from the DC of five supply chain SMEs' websites and performed statistical analysis (correlation and linear regression analysis), followed by six fuzzy cognitive mapping simulation scenarios. Supply chain SMEs' customers enter their website and are found capable of producing DC metrics, originating from their interaction with the webpage, which is valuable for supply chain SMEs since they impact the performance of their search engine results. The outcomes of this study indicate that specific DC metrics, related to website customers' activity, can accurately simulate and predict the course of supply chain SMEs' digital marketing performance KPIs (global rank, organic, and paid traffic). It has been discerned that supply chain SMEs could enhance their search engine results, by increasing traffic originating from social sources, organic keywords, and the costs required for paid advertising campaigns. Accordingly, the increased number of pages opened by website visitors also indicates enhanced search engine results.

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Section: Related Research and Fuzzy Cognitive Methodsmentioning

confidence: 99%

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Sakas,

Giannakopoulos,

Panagiotou

et al. 2023

JCCE

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Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures

Karatzinis,

Apostolikas,

Boutalis

et al. 2023

Int. J. Fuzzy Syst.

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Fuzzy cognitive networks (FCNs) arose from traditional fuzzy cognitive maps (FCMs) to have the advantage of guaranteed convergence to equilibrium points, thus being more suitable than conventional FCMs for a variety of pattern recognition and system identification tasks. Moreover, recent developments led to FCNs with functional weights (FCNs-FW), as a significant FCNs enhancement in terms of storage requirements, efficiency and less human intervention requirements. In this paper we proceed further by introducing hybrid deep learning structures, interweaving FCNs-FW with well established deep neural network (DNN) representative structures and apply the new schemes on a variety of pattern recognition and time series prediction tasks. More specifically, after discussing general issues related to the construction of deep learning structures using FCNs-FW we present three hybrid models, which combine the FCN-FW with convolutional neural networks (CNNs), echo state networks (ESNs) and AutoEncoder (AE) schemes, respectively. The hybrid schemes are tested on diverse benchmark data sets and prove that FCN-FW based hybrid schemes perform equally well or better than state-of-the-art DNN-based schemes, paving thus the way for using cognitive networks to deep learning representative structures.

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Further Developments on Application of Dynamic Fuzzy Cognitive Map Concept for Digital Business Models

Cited by 2 publications

References 28 publications

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Search Engine Results Optimization for Supply Chain SMEs Through Digital Content Management and Fuzzy Cognitive Models

Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures

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