Strategizing sustainability in the banking industry using fuzzy cognitive maps and system dynamics

Paiva, Bernardo Manuel Rosalino e; Ferreira, Fernando; Carayannis, Elias G.; Zopounidis, Constantin; Ferreira, João; Pereira, Leandro; Dias, Paulo Jorge Varela Lopes

doi:10.1080/13504509.2020.1782284

Cited by 19 publications

(5 citation statements)

References 84 publications

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“…B. M. Paiva et al [24] expressed a constructivist approach using a combination of Fuzzy cognitive mapping (FCM) and the system dynamics approach (FCM-SDA) to explore sustainability strategies in the banking business.…”

Section: Literature Workmentioning

confidence: 99%

Analysis on Risk Awareness Model and Economic Growth of Finance Industry

Wang¹,

Wang²,

Mohammed³

2023

Journal of Internet Technology

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<p>The economy was slump mainly due to the credit market disruptions and losses generated by systemic credit institutions. The trust in the banking system to satisfy payment commitments collapsed, and financial, economic, and political risks were increased, and during that era, their significant volatility. Such dangers have skewed economic development and laid the foundations for creating an economy of dread. The financial risks occur due to investments made to firms that fail to meet their financial responsibilities. The trouble is due to the probability of financial expense. Therefore, a culture of risk consciousness must be created to increase risk sensitivity in a company. Risk awareness and agility in responding to incidents are essential, and then reaction times might be impeded, mainly when an organization has grown too fast. Creating that culture, awareness of risk management benefits, safety improvements, lower claims, and lower risk costs, and better financial outcomes improved and shown. This article examines the influence on the economic growth of financial development using time series data. This research has been conducted using three popular financial development indicators: wide cash, deposit/GDP, and private sector domestic credit. The risk awareness model (RAM) estimate has a favourable and substantial influence on economic development for all financial development indices. Therefore, this article demonstrates that all financial product economic growth indexes utilize a binding test in a profitable and long-term way. Consequently, it is suggested to push ahead with financial reforms to enhance financial sector development, increasing its contribution to economic expansion. The proposed method allows achieving better throughput by performance ratios, accuracy ratios, low error rate, precision ratio, poverty rates, and risk management levels, financial volatility rate.</p> <p> </p>

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Section: Literature Workmentioning

confidence: 99%

Analysis on Risk Awareness Model and Economic Growth of Finance Industry

Wang¹,

Wang²,

Mohammed³

2023

Journal of Internet Technology

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“…Strategic management as an academic field was originated in the early 1960s, slowly maturing over the last 50 years. Nonetheless, strategic management is one of those areas in which the consensus between researchers is still extremely fragile (Hambrick, 1990;Spender, 2001;Rodrigues et al, 2020;Paiva et al, 2021). Over the last five decades, many theories and approaches have been developed to address different topics in order to explain why companies have sustainable competitive advantages and how they achieve these.…”

Section: Research Backgroundmentioning

confidence: 99%

Strategic visualization: the (real) usefulness of cognitive mapping in smart city conceptualization

Vaz

Ferreira

Pereira

et al. 2021

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PurposeThe concept of smart city has recently become more topical in academic and policy discussions. This idea is considered a complex, non-consensual subject since its definition has not yet been agreed upon by most authors in the relevant fields. The need to identify and measure smart city indicators has also given rise to many different evaluation procedures. However, the available frameworks have yet to overcome challenges in structuring and measuring all the evaluation parameters of the cities in question. Thus, methods still need to be developed and applied that can structure criteria used to assess smart city success.Design/methodology/approachThis study sought to show cognitive mapping's tangible usefulness as an expedient tool for strategic analysis, using smart cities as a complex object of study. To this end, various cognitive maps were constructed and compared using the Strategic Options Development and Analysis (SODA) approach.FindingsCognitive mapping's advantages and limitations in the strategic visualization research context are analyzed and discussed.Originality/valueThe authors know of no prior work reporting comparative analysis of this methodological approach in the same research context.

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“…Today, FCMs are widely applied in natural resource management to explore different policy options for the management of ecological systems, often through the integration of local and scientific knowledge about a given domain (Gray et al, 2015;Hobbs et al, 2002;Hoffman et al, 2014;Kok, 2009;Papageorgiou & Kontogianni, 2012;Vanermen et al, 2020). Other applications include the study of agricultural development (Roberts et al, 2021), banking regulation (Paiva et al, 2020), and international security (Sharif & Irani, 2006).…”

Section: Jordan Mansell Et Almentioning

confidence: 99%

Measuring attitudes as a complex system

Mansell¹,

Mock

Rhea

et al. 2021

Polit. life sci.

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We test a method for applying a network-based approach to the study of political attitudes. We use cognitive-affective mapping, an approach that visually represents attitudes as networks of concepts that an individual associates with a given issue. Using a software tool called Valence, we asked a sample of Canadians (n = 111) to draw a cognitive-affective map (CAM) of their views on the carbon tax. We treat these networks as a series of undirected graphs and examine the extent to which support for the tax can be predicted based on each graph’s emotional and structural properties. We find evidence that the emotional but not the structural properties significantly predict individuals’ attitudes toward the carbon tax. We also find associations between CAMs’ structural properties (density and centrality) and several measures of political interest. Our results provide preliminary evidence for the efficacy of CAMs as a tool for studying political attitudes. The study data are available at https://osf.io/qwpvd/?view_only=6834a1c442224e72bf45e7641880a17f

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Strategizing sustainability in the banking industry using fuzzy cognitive maps and system dynamics

Cited by 19 publications

References 84 publications

Analysis on Risk Awareness Model and Economic Growth of Finance Industry

Analysis on Risk Awareness Model and Economic Growth of Finance Industry

Strategic visualization: the (real) usefulness of cognitive mapping in smart city conceptualization

Measuring attitudes as a complex system

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