Výsledky vyhľadávania - "HB71-74"

The impact of customer boredom on the efficacy of a rewards program

Autori: Axel Stock Minoo Talebi Ashoori

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 299-313 (2025)

Predmety: Economics as a science, Game Theory, Electronic computers. Computer science, Competitive Analysis, Social Sciences, QA75.5-76.95, Customer Boredom, HB71-74, Rewards Programs

Prístupová URL adresa: https://doaj.org/article/6fe2e11e27c546d5bc7dc44eaa30a9c2

Strategies to achieving deep decarbonisation in power generation: A review

Autori: Abdullah Alotaiq

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 22-33 (2025)

Predmety: Economics as a science, Electronic computers. Computer science, Social Sciences, Review, QA75.5-76.95, Decarbonisation, HB71-74, Energy transition, Power generation

Prístupová URL adresa: https://doaj.org/article/81b3cc6952c549b18102e29b43f9ea75

The role of parental circumstances and luck in shaping socioeconomic success: A simulation-based analysis of talent

Autori: Hana Hebishima Shin-ichi Inage

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 223-236 (2025)

Predmety: Agent-based model, Talent, Economics as a science, Success, Electronic computers. Computer science, Social Sciences, QA75.5-76.95, Parent lottery, Luck, HB71-74

Prístupová URL adresa: https://doaj.org/article/fa9133941f904a61836293d30f1f37dc

Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT

Autori: Fahim Sufi

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 264-281 (2025)

Predmety: Economics as a science, Electronic computers. Computer science, GPT, Computational methods, Social Sciences, News report intelligence, Anomaly detection, QA75.5-76.95, Event prediction, HB71-74, CNN

Prístupová URL adresa: https://doaj.org/article/b017c3aa56164fcf9b3e5e862370cd6a

Research on the low-carbon transformation of energy consumption under population aging in China

Autori: Rumei Liu Lu Tang Qingrui Liu a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 151-165 (2025)

Predmety: Energy consumption, Economics as a science, Low-carbon transformation, Electronic computers. Computer science, Social Sciences, QA75.5-76.95, Technological innovation, Policy regulation, HB71-74, Population aging

Prístupová URL adresa: https://doaj.org/article/e5ac39756490466d8dea6d1cb3a83229

UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation

Autori: Chunyu Yuan Dongfang Zhao Sos S. Agaian

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 251-263 (2025)

Predmety: Light-weight model, Economics as a science, Electronic computers. Computer science, Social Sciences, Mobile health, QA75.5-76.95, Medical image segmentation, HB71-74

Prístupová URL adresa: https://doaj.org/article/dbd39b5a0a6146008939087e896400f4

Quantitative modeling of M&A success probability: Integrating macroeconomic volatility and temporal factors through survival analysis

Autori: Dan Xu

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 202-222 (2025)

Predmety: Economics as a science, Mergers and Acquisitions (M&A), Macroeconomic Volatility, Cox proportional hazard model, Electronic computers. Computer science, Social Sciences, QA75.5-76.95, Survival Analysis, HB71-74, KaplanMeier estimator

Prístupová URL adresa: https://doaj.org/article/a5926f6813d146a59ad3d0cface6b934

Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research

Autori: Karthik Meduri Geeta Sandeep Nadella Akhila Reddy Yadulla a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 177-189 (2025)

Predmety: Economics as a science, Privacy-preserving, Electronic computers. Computer science, Social Sciences, Random-Forest, QA75.5-76.95, Decision-Tree-Classifiers, Federated Learning, HB71-74, Electronic Health Records (EHR), Support-Vectors-Classifiers

Prístupová URL adresa: https://doaj.org/article/bdcb43037d374c7b8aa46717b3e14ca6

ChatGPT and CLT: Investigating differences in multimodal processing

Autori: Cahalane, Michael Kirshner, Samuel N

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 10-21 (2025)

Predmety: 5202 Biological Psychology, Social Sciences, QA75.5-76.95, anzsrc-for: 52 Psychology, ChatGPT, Economics as a science, Clinical Research, 52 Psychology, Electronic computers. Computer science, anzsrc-for: 5202 Biological Psychology, AI cognition, Construal level theory, HB71-74

Prístupová URL adresa: https://doaj.org/article/fc00fb723bdf4df9a2624d06fd72513b

Event driven technology intelligence

Autori: Song-Kyoo Kim

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 143-150 (2025)

Predmety: Economics as a science, Technology roadmap, Technology management, Emerging technology, Electronic computers. Computer science, Event driven technology intelligence, Social Sciences, QA75.5-76.95, HB71-74, EDTI

Prístupová URL adresa: https://doaj.org/article/4aa2663a33a44939a1e56987c13c8c5f

Techno-economic and emissions comparison of waste-to-fuel via hydrothermal liquefaction, transesterification, and incineration

Autori: Muhammad Usman

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 237-250 (2025)

Predmety: Waste-to-fuel technologies, Transesterification, Techno-Economic, Economics as a science, Hydrothermal liquefaction (HTL), Electronic computers. Computer science, Social Sciences, Incineration, QA75.5-76.95, Sewage sludge, HB71-74

Prístupová URL adresa: https://doaj.org/article/5bc792b48a5543858909a1075dd51329

Business confidence in the shift to renewable energy: A country-specific assessment in major Asian economies

Autori: Irsan Hardi Ghalieb Mutig Idroes Yoshihiro Hamaguchi a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 44-68 (2025)

Predmety: China, Business Confidence, Economics as a science, Japan, Indonesia, South Korea, Electronic computers. Computer science, Social Sciences, Renewable Energy, QA75.5-76.95, HB71-74

Prístupová URL adresa: https://doaj.org/article/1508ce712dd74c20b8f38ebfb59dc90f

Enhancing energy resilience in manufacturing enterprises: A systematic mapping of challenges to strategies

Autori: P. Lebepe T.N.D. Mathaba

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 82-94 (2025)

Predmety: Economics as a science, Electronic computers. Computer science, Fleiss Kappa, Social Sciences, QA75.5-76.95, CRITIC method, Energy Resilience, HB71-74, Manufacturing Enterprises

Prístupová URL adresa: https://doaj.org/article/0c5ae16aa7a84f53bb9883a46a7d98bc

User activity to enhance customer lifetime value modeling in contractual streaming industry

Autori: Eudes Adiba Maurice Comlan Eugéne C. Ezin a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 69-81 (2025)

Predmety: Contractual setting, Economics as a science, Electronic computers. Computer science, Customer lifetime value, Social Sciences, QA75.5-76.95, Streaming, HB71-74

Prístupová URL adresa: https://doaj.org/article/0102ce3c13cd4f0d8bc41e3f2807ab4a

Global adoption of generative AI: What matters most?

Autori: Hassnian Ali Atta ul Mustafa Ahmet Faruk Aysan

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 166-176 (2025)

Predmety: Economics as a science, Generative AI, Electronic computers. Computer science, Global Adoption, Social Sciences, QA75.5-76.95, Future, HB71-74, Emerging Technologies

Prístupová URL adresa: https://doaj.org/article/94ba81d679b64caa9000e6f018716261

Blockchains effects on responsiveness to recalls in the food and beverage industry

Autori: Abbas Keramati Bethany Siau Tyler Bellitto a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 283-298 (2025)

Predmety: Blockchain, Economics as a science, Electronic computers. Computer science, Recall duration, Social Sciences, QA75.5-76.95, Food and beverages industry, Analysis of variance, HB71-74

Prístupová URL adresa: https://doaj.org/article/0747149e6820413fb0e0d8324659ebc5

Federated learning and information sharing between competitors with different training effectiveness

Autori: Jiajun Meng Jing Chen Dongfang Zhao

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 1-9 (2025)

Predmety: Product Quality, Economics as a science, Artificial Intelligence, Electronic computers. Computer science, Information Sharing, Social Sciences, QA75.5-76.95, Federated Learning, Price Competition, HB71-74

Prístupová URL adresa: https://doaj.org/article/869eda02387d462d885613dac833f927

Digital Sustainable Growth Model (DSGM): Achieving synergy between economy and technology to mitigate AGI risks and address global debt challenges

Autori: Ahmed Shalaby

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 314-332 (2025)

Predmety: Artificial Humanity (AH), BankRabbna, Economics as a science, Digital Sustainable Growth Model (DSGM), Electronic computers. Computer science, Social Sciences, QA75.5-76.95, Ethical AI Development, Sustainable economic growth, HB71-74, Global debt

Prístupová URL adresa: https://doaj.org/article/e84cc4e2741c41f8a97e677d1ddeea57

Remanufacturing facility installation decisions under product sourcing cost uncertainties: A real options approach

Autori: Mohammad Ahnaf Sadat K. Jo Min

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 123-142 (2025)

Predmety: Quasi-Analytical, Economics as a science, Remanufacturing Facility Installation, Electronic computers. Computer science, Two Uncertainties, Social Sciences, Multiple Uncertainties, QA75.5-76.95, Geometric Brownian Motion, HB71-74, Real Options

Prístupová URL adresa: https://doaj.org/article/50b54d65fe98422fbc892b0c094fadb8

From innovation capability to green innovation capability: Evidence from Chinese big tech firms

Autori: Martín Hernani-Merino Jorge Tello-Gamarra David Mayorga a ďalší

Zdroj: Journal of Economy and Technology, Vol 3, Iss, Pp 95-108 (2025)

Predmety: China, Economics as a science, Green innovation capability, Big Tech Companies, Innovation capability, Electronic computers. Computer science, Social Sciences, QA75.5-76.95, Innovation, HB71-74

Prístupová URL adresa: https://doaj.org/article/28640f5ba46f44d999e291fec112ea5e