From risks to rewards: A comprehensive guide to sustainable investment decisions in renewable energy using a hybrid facial expression-based fuzzy decision-making …

G Kou, D Pamucar, H Dinçer, S Yüksel - Applied Soft Computing, 2023 - Elsevier
There are some risks in renewable energy investments, such as legal, technology and
financial issues. Hence, appropriate actions should be taken to minimize these risks …

[HTML][HTML] Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model

S Gupta, PS Kushwaha, U Badhera… - Sustainable Operations …, 2023 - Elsevier
The e-commerce industry has seen significant growth over the past decade as it focuses on
convenience and accessibility, leading to a surge in online shopping with more and more …

[HTML][HTML] Traversing the macroeconomic terrain: An exploration of South Korea's economic responsiveness to cross-border e-commerce production technology …

Y Li, Y He, R Wu - Sustainability, 2023 - mdpi.com
The principal aim of this study is to discern the implications of technology shocks in the
sphere of cross-border e-commerce on the macroeconomic indices of South Korea …

[HTML][HTML] A comprehensive MCDM assessment for economic data: success analysis of maximum normalization, CODAS, and fuzzy approaches

M Baydaş, M Yılmaz, Ž Jović, Ž Stević, SEG Özuyar… - Financial Innovation, 2024 - Springer
The approach of evaluating the final scores of multi-criteria decision-making (MCDM)
methods according to the strength of association with real-life rankings is interesting for …

[HTML][HTML] Time-varying market efficiency of safe-haven assets

UC Okoroafor, T Leirvik - Finance Research Letters, 2023 - Elsevier
This study investigates the hedge and safe-haven possibilities with bitcoin, gold and crude
oil in different equity markets in the presence of time-varying market inefficiency. Our results …

[HTML][HTML] Technology-based forecasting approach for recognizing trade-off between time-to-market reduction and devising a scheduling process in open innovation …

J An, A Mikhaylov - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
Due to rapid advances being made in computing technologies, open innovation methods
are being used for better managerial forecasting and min-max efficient time for delivering …

[HTML][HTML] Forecasting cryptocurrencies returns: Do macroeconomic and financial variables improve tail expectation predictions?

KK Lawuobahsumo, B Algieri, A Leccadito - Quality & Quantity, 2023 - Springer
This study aims to jointly predict conditional quantiles and tail expectations for the returns of
the most popular cryptocurrencies (Bitcoin, Ethereum, Ripple, Dogecoin and Litecoin) using …

[HTML][HTML] Problems of Generating Productive Employment in the Youth Labor Market as a Dominant Risk Reduction Factor for the NEET Youth Segment in Kazakhstan

Z Khussainova, M Gazizova, G Abauova, Z Zhartay… - Economies, 2023 - mdpi.com
NEET (not in employment, education, or training) unemployment is one of the newer, most
relevant, and least studied modern features of the youth labor market, making it an urgent …

[HTML][HTML] Perception and expression-based dual expert decision-making approach to information sciences with integrated quantum fuzzy modelling for renewable …

G Kou, D Pamucar, H Dinçer, M Deveci, S Yüksel… - Information …, 2024 - Elsevier
Choosing the right projects in renewable energy investments is very significant. Due to this
issue, necessary improvements to the performance indicators of these projects should be …

[HTML][HTML] Pattern recognition of financial innovation life cycle for renewable energy investments with integer code series and multiple technology S-curves based on Q …

G Kou, H Dinçer, S Yüksel - Financial Innovation, 2024 - Springer
The current study evaluates the financial innovation life cycle for renewable energy
investments. A novel model is proposed that has two stages. First, the financial innovation …