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The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS.
PLoS One
January 2025
Department of Artificial Intelligence and Data Science, Sejong University, South Korea.
The adoption of Financial Technology (FinTech), along with the enhancement of Human Resource (HR) competencies, service innovation, and firm growth, plays a crucial role in the development of the banking sector. Despite their importance, obtaining reliable results is often challenging due to the complex, high-dimensional correlations among various features that affect the industry. To address this issue, this research introduces a hybrid Multi-Criteria Decision-Making (MCDM) model that integrates the Entropy-Weighted Method (EWM) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
View Article and Find Full Text PDFResearch on the ordering strategy problem in supply chain with profit allocation under two-level price-fluctuation sales.
PLoS One
January 2025
School of Business Management, Zhejiang Financial College, Hangzhou, Zhejiang, China.
This paper investigates optimal ordering strategies in supply chains under two-level price fluctuations and initial profit allocation. By utilizing Copula functions to model the complex relationship between fluctuating prices and uncertain demand, the study develops both continuous and discrete decision models for practical applications. A discrete algorithm is proposed to approximate the optimal solution, with its convergence rigorously proven.
View Article and Find Full Text PDFIntegrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories.
PLoS One
January 2025
Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.
View Article and Find Full Text PDFMath-anxious people suffer more in math-related events: The perspective of reward processing on motivated behavior.
Ann N Y Acad Sci
January 2025
School of Psychology, Shenzhen University, Shenzhen, China.
Individuals with high math anxiety (HMA) demonstrate a tendency to avoid math-related tasks, a behavior that perpetuates a detrimental cycle of limited practice, poor performance, increased anxiety, and further avoidance. This study delves into the cognitive and neural bases of math avoidance behavior in HMA through the lens of reward processing. In Experiment 1, participants reported their satisfaction level in response to the reward provided after solving an arithmetic problem.
View Article and Find Full Text PDFFood for Thoughts for Prospective Biomanufacturing.
Microb Biotechnol
January 2025
Institute of Biochemical Engineering/Institut für Bioverfahrenstechnik, University of Stuttgart, Stuttgart, Germany.
While rising greenhouse gases cause climate change, global economies ask for resilient solutions for the business of the future. Biomanufacturing may well serve as a pillar of a circular economy with minimised environmental impact. Therefore, innovations of the lab need to successfully bridge the imminent 'death-valley of innovation' for making commercial production happen.
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