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ORCIDJournal of Organizational and End User Computing, Volume 37
Volume 37, Number 1, 2025
- Xiaohe Xie, Ya Qin, Xuan Zhang
, Hongming Li, Abby Yurong Zhang:
The Supply Chain Transportation and Route Planning Under Deep Reinforcement Learning. 1-27 - Sida Guo, Ziqi Zhong:
Artificial Intelligence-Driven Optimization of Carbon Neutrality Strategies in Population Studies: Employing Enhanced Neural Network Models With Attention Mechanisms. 1-24 - Wen-Lung Shiau, Chia-Hsing Shih, Chien-Liang Lin, Shan-Ze Jiang, Yogesh K. Dwivedi, Wen-Pin Yu, Kuanchin Chen:
Exploring Core Knowledge in Mobile Payment Research. 1-38 - Beibei Chen, Xu Yao, Yunping Cao, Min Chen, Xue Yu:
Application of Deep Neural Network-Based Social Media Data Analysis in Brand Management. 1-34 - Shang Fengkuo, Zhou Yijia, Ubaldo Comite, Alina Badulescu, Daniel Badulescu:
Artificial Intelligence-Supported Leadership: A Catalyst for Team Excellence in China's Fast-Moving Consumer Goods Industry. 1-29 - Chengjin Xu, Zhe Zhang, Yanyan Shen:
Research on the Relationship Between the Credibility of Consumer Online Reviews and Purchase Decisions Under International Law: An Empirical Analysis Based on E-Commerce Platform Data. 1-44 - Li Jing, Matac Liviu Marian, Wang Junqi, Fahad Alturise, Salem Alkhalaf:
Exploring the Association Between Cultural Intelligence and Project Performance With the Mediation of Artificial Intelligence Abilities. 1-28 - Te Li, Mengze Zheng, Yan Zhou:
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting: Deep Learning for Renewable Energy Demand Prediction. 1-29 - Taiyu Xiu, Yin Sun, Xuan Zhang, Yunting Gao, Jieting Wu, Abby Yurong Zhang, Hongming Li:
The Analysis of Emotion-Aware Personalized Recommendations via Multimodal Data Fusion in the Field of Art. 1-29 - Hui Ge, Zihan Zhuang, Abby Yurong Zhang:
An Empirical Study on Anomaly Detection and Optimization in ICH Information Management Systems. 1-38 - Guoyu Diao, Chengcheng Li, Qian Liu, Zegang Liu:
Empirical Study on the Application of Deep Learning in User Behavior Prediction and Personalized Recommendation in E-Commerce. 1-36 - Ziru Yao, Fuzheng Zhao:
The Optimization of Media Information Retrieval and Adaptive Information Management Based on Deep Reinforcement Learning. 1-45 - Zhanming Sun, Bin Hu:
A Method for Multimodal Remote Sensing Image Classification. 1-18 - Hsin-Te Wu:
Developing a Smart Learning System for Large Enterprises Based on Intelligent Augmented Reality. 1-14 - Chen Rong, Muhammad Safdar Sial, Fateh Saci, Sajjad M. Jasimuddin, Justin Z. Zhang:
AI Adoption in the Finance Sector of a Developing Economy: The Mediating Role of Perceived Trust. 1-29 - Hyungjun Seo, Hyoungsuk Lee, Fu-Sheng Tsai:
Impact of Perception of Intelligent Information Technology (IIT) on IIT-Based Policy Decision-Making in the Public Sector: Moderating Effect of Social Capital. 1-38 - Silong Huang, Zichen Liu:
The Impact of Personalized Recommendation Systems on Consumer Purchase Decisions Under Data Law Frameworks: An Empirical Study Based on E-Commerce User Behavior Data. 1-28 - Shan Lu, Chia-Huei Wu, Beibei Chen, Datian Bi, Xiaomin Du:
Computing the Pathway to Embed the Entrepreneurial Ecosystem: Symbiosis, Legitimacy, and Connectivity. 1-28 - Juan Yang, Yu Bai, Jie Gong, Menghui Han:
The Financial Institution Text Data Mining and Value Analysis Model Based on Big Data and Natural Language Processing. 1-40
Volume 37, Number 1, 2024
- Qiulai Su, Fei Zhou, Youhai Lin, Jian Mou:
Understanding the Influence of Users' Fear of Missing Out on Charitable Crowdfunding. 1-22
Volume 37, Number 1, 2025
- Xiaodong Marcus Li, Zhenghao Michael Xia, Daniel Qi Chen, Kang Xie, Bo Zou, Jinghua Xiao:
User Potential Creativity: Concept, Measurement, and Organizational Adaptive Change. 1-27 - Lan Zhang, Yucen Guo, Bingze Li, Meifang Yao, Murong Maio, Chia-Huei Wu:
Research on the Relationship Between Digital Marketing and Corporate Performance: The Mediating Role of Information Dynamic Capability. 1-23 - Changlin Wang, Zhonghua Lu, Zhoue He:
The Optimization of Advertising Content and Prediction of Consumer Response Rate Based on Generative Adversarial Networks. 1-30 - Xiaozhi Su, Bilal Alatas, Osama Sohaib:
An Express Management System With Graph Recurrent Neural Network for Estimated Time of Arrival. 1-26 - Huaxu Li, Xiao Tang, Qianyu Liu, Bo Liu, Shuchen Zhao:
Enhancing Intelligent Recruitment With Generative Pretrained Transformer and Hierarchical Graph Neural Networks: Optimizing Resume-Job Matching With Deep Learning and Graph-Based Modeling. 1-24 - Xinhua Zhang, Xuefeng Shao, Chengming Hu, Rebecca Kechen Dong, Chia-Huei Wu:
Teachers' Technological Innovation Intention and Performance in the E-Learning Context. 1-20 - Jin Qiu, Lan Shu, Yinshun Zhang:
The Deep Learning-Based Security Assessment and Optimization Model for Enterprise Information Systems Under Digital Economy. 1-52
Volume 37, Number 1, 2024
- Huizhen Long, Meng Li, Zhen Dong, Yuan Meng, Fengrui Zhang:
Deep Learning-Based Risk Analysis and Prediction During the Implementation of Carbon Neutrality Goals. 1-23
Volume 37, Number 1, 2025
- Yingxia Li, Qiaoling Lin, Xi Luo, Boning Liu:
Investigating the Impact of Virtual Streamers on the Engagement of Generation Z Consumers: The Moderating Effect of Congruence. 1-23 - Yue Wang, Jianzheng Shi, Terence T. Ow, Jia Yun, Yuanyu Yang:
The Impact of Technological Innovations on Consumer Behavior in E-Commerce: A Systematic Review. 1-27 - Guoquan Ma, Xuanyu Ye:
A User Purchase Trend Analysis Model Based on Self-Supervised Learning and CNN-LSTM Architecture: A Case Study of the Art Journals on the WOS Search Platform. 1-30 - Hanmeng Xia, Huiru Yang, Xiaoqian Liu, Xin Zhang:
The Impact of In-Feed Recommendation on Consumers' Impulse Buying Behavior on Short Video Platforms. 1-30 - (Withdrawn) RETRACTED: Sentiment Analysis and Consumer Purchase Intention Prediction Based on BERT and DBLSTM. 1-22
- Tingting Li, Yingli Wu, Yuqing Liu, Jingqi Li:
Deep Learning-Based Analysis of E-Commerce Enterprises: User Behavior and Consumption Prediction. 1-36
Volume 37, Number 1, 2024
- Alicia Martín-Navarro, María Paula Lechuga Sancho, Marek Szelagowski, José Aurelio Medina-Garrido:
Is User Perception the Key to Unlocking the Full Potential of Business Process Management Systems (BPMS)?: Enhancing BPMS Efficacy Through User Perception. 1-27
Volume 37, Number 1, 2025
- Jingbo Song, Yingli Wu, Duo Zhao, Jingqi Li, Liqi Ding:
Intelligent Monitoring of Industrial Equipment: A Study on Fault Prediction Based on Deep Learning. 1-23 - Zhehuan Wei, Liang Yan, Chunxi Zhang:
Optimization Strategies in Consumer Choice Behavior for Personalized Recommendation Systems Based on Deep Reinforcement Learning. 1-35 - Ziqiang Hu, Justin Z. Zhang:
From Expertise to Audience: Exploring the Dynamics of Social Status and Perceptions in Online and Offline Contexts. 1-32 - Qi Zhang, Qiang Shi, Bilal Alatas, Yu-His Yuan:
Optimization of Dynamic Pricing Models for Consumer Segmentation Markets and Analysis of Big Data-Driven Marketing Strategies. 1-33
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