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Published: Dec 8, 2023
DOI: 10.4018/JOEUC.334701
Volume 36
Ke Zheng, Zhou Li
With the rapid development of artificial intelligence and deep learning, image-text matching has gradually become an important research topic in cross-modal fields. Achieving correct image-text... Show More
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MLA

Zheng, Ke, and Zhou Li. "An Image-Text Matching Method for Multi-Modal Robots." JOEUC vol.36, no.1 2024: pp.1-21. http://doi.org/10.4018/JOEUC.334701

APA

Zheng, K. & Li, Z. (2024). An Image-Text Matching Method for Multi-Modal Robots. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-21. http://doi.org/10.4018/JOEUC.334701

Chicago

Zheng, Ke, and Zhou Li. "An Image-Text Matching Method for Multi-Modal Robots," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-21. http://doi.org/10.4018/JOEUC.334701

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Mendeley
Published: Dec 15, 2023
DOI: 10.4018/JOEUC.334707
Volume 36
Weihui Han, Tianshuo Zhang, Jamal Khan, Lujian Wang, Chao Tu
This study investigates the effect of digital finance on Chinese OFDI using Probit and Logit models on A-share-listed Chinese enterprises and representative OFDI data from 2011 to 2020. It shows... Show More
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MLA

Han, Weihui, et al. "Going Global in the Digital Era: How Digital Finance Affects Chinese OFDI." JOEUC vol.36, no.1 2024: pp.1-22. http://doi.org/10.4018/JOEUC.334707

APA

Han, W., Zhang, T., Khan, J., Wang, L., & Tu, C. (2024). Going Global in the Digital Era: How Digital Finance Affects Chinese OFDI. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-22. http://doi.org/10.4018/JOEUC.334707

Chicago

Han, Weihui, et al. "Going Global in the Digital Era: How Digital Finance Affects Chinese OFDI," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-22. http://doi.org/10.4018/JOEUC.334707

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Mendeley
Published: Dec 18, 2023
DOI: 10.4018/JOEUC.335081
Volume 36
Chen Quan, Baoli Lu
Innovation management involves planning, organizing, and controlling innovation within an organization, while venture capital evaluation assesses investment opportunities in startups and early-stage... Show More
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MLA

Quan, Chen, and Baoli Lu. "Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques." JOEUC vol.36, no.1 2024: pp.1-22. http://doi.org/10.4018/JOEUC.335081

APA

Quan, C. & Lu, B. (2024). Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-22. http://doi.org/10.4018/JOEUC.335081

Chicago

Quan, Chen, and Baoli Lu. "Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-22. http://doi.org/10.4018/JOEUC.335081

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Mendeley
Published: Dec 22, 2023
DOI: 10.4018/JOEUC.335082
Volume 36
Peijin Li, Xinyi Peng, Chonghui Zhang, Tomas Baležentis
When compared to traditional indicators, text information can capture market sentiment, investor confidence, and public opinion more effectively. Meanwhile, the mixed-frequency dynamic factor model... Show More
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MLA

Li, Peijin, et al. "Financial Cycle With Text Information Embedding Based on LDA Measurement and Nowcasting." JOEUC vol.36, no.1 2024: pp.1-25. http://doi.org/10.4018/JOEUC.335082

APA

Li, P., Peng, X., Zhang, C., & Baležentis, T. (2024). Financial Cycle With Text Information Embedding Based on LDA Measurement and Nowcasting. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-25. http://doi.org/10.4018/JOEUC.335082

Chicago

Li, Peijin, et al. "Financial Cycle With Text Information Embedding Based on LDA Measurement and Nowcasting," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-25. http://doi.org/10.4018/JOEUC.335082

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Mendeley
Published: Jan 7, 2024
DOI: 10.4018/JOEUC.335083
Volume 36
Lei Zhao, Bowen Deng, Liang Wu, Chang Liu, Min Guo, Youjia Guo
In this study, the authors explore how financial institutions make decisions about stock trading strategies in a rapidly changing and complex environment. These decisions are made with limited... Show More
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MLA

Zhao, Lei, et al. "Deep Reinforcement Learning for Adaptive Stock Trading: Tackling Inconsistent Information and Dynamic Decision Environments." JOEUC vol.36, no.1 2024: pp.1-27. http://doi.org/10.4018/JOEUC.335083

APA

Zhao, L., Deng, B., Wu, L., Liu, C., Guo, M., & Guo, Y. (2024). Deep Reinforcement Learning for Adaptive Stock Trading: Tackling Inconsistent Information and Dynamic Decision Environments. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-27. http://doi.org/10.4018/JOEUC.335083

Chicago

Zhao, Lei, et al. "Deep Reinforcement Learning for Adaptive Stock Trading: Tackling Inconsistent Information and Dynamic Decision Environments," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-27. http://doi.org/10.4018/JOEUC.335083

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Mendeley
Published: Dec 29, 2023
DOI: 10.4018/JOEUC.335122
Volume 36
Xiaoye Ma, Yanyan Li, Muhammad Asif
This study proposes a deep learning-based analytical model to conduct an in-depth study of the relationship between consumer trust, perceived benefits, and purchase intention. This model combines... Show More
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MLA

Ma, Xiaoye, et al. "E-Commerce Review Sentiment Analysis and Purchase Intention Prediction Based on Deep Learning Technology." JOEUC vol.36, no.1 2024: pp.1-29. http://doi.org/10.4018/JOEUC.335122

APA

Ma, X., Li, Y., & Asif, M. (2024). E-Commerce Review Sentiment Analysis and Purchase Intention Prediction Based on Deep Learning Technology. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-29. http://doi.org/10.4018/JOEUC.335122

Chicago

Ma, Xiaoye, Yanyan Li, and Muhammad Asif. "E-Commerce Review Sentiment Analysis and Purchase Intention Prediction Based on Deep Learning Technology," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-29. http://doi.org/10.4018/JOEUC.335122

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Mendeley
Published: Dec 29, 2023
DOI: 10.4018/JOEUC.335455
Volume 36
Hao Wu, Zhiyi Zhang, Zhilin Zhu
A trademark is an essential symbol of a company, consisting of a semantically rich image under ordinary circumstances. The popularity of a company can be measured by the frequency of its trademark... Show More
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MLA

Wu, Hao, et al. "Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection." JOEUC vol.36, no.1 2024: pp.1-12. http://doi.org/10.4018/JOEUC.335455

APA

Wu, H., Zhang, Z., & Zhu, Z. (2024). Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-12. http://doi.org/10.4018/JOEUC.335455

Chicago

Wu, Hao, Zhiyi Zhang, and Zhilin Zhu. "Cross-Checking-Based Trademark Image Retrieval for Hot Company Detection," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-12. http://doi.org/10.4018/JOEUC.335455

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Mendeley
Published: Jan 10, 2024
DOI: 10.4018/JOEUC.335498
Volume 36
Wanwan Li, Ying Cai, Mohd Hizam Hanafiah, Zhenwei Liao
Thanks to the rapid growth of cross-border e-commerce platforms, numerous cross-border items are now available to customers. Several serious issues with cross-border e-commerce platforms related to... Show More
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MLA

Li, Wanwan, et al. "An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis." JOEUC vol.36, no.1 2024: pp.1-16. http://doi.org/10.4018/JOEUC.335498

APA

Li, W., Cai, Y., Hanafiah, M. H., & Liao, Z. (2024). An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-16. http://doi.org/10.4018/JOEUC.335498

Chicago

Li, Wanwan, et al. "An Empirical Study on Personalized Product Recommendation Based on Cross-Border E-Commerce Customer Data Analysis," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-16. http://doi.org/10.4018/JOEUC.335498

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Mendeley
Published: Jan 7, 2024
DOI: 10.4018/JOEUC.335591
Volume 36
Rong Liu, Vinay Vakharia
This project addresses demand forecasting and inventory optimization in supply chain management. Traditional methods have limitations with complex demand patterns and large-scale data. Deep learning... Show More
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MLA

Liu, Rong, and Vinay Vakharia. "Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management." JOEUC vol.36, no.1 2024: pp.1-25. http://doi.org/10.4018/JOEUC.335591

APA

Liu, R. & Vakharia, V. (2024). Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-25. http://doi.org/10.4018/JOEUC.335591

Chicago

Liu, Rong, and Vinay Vakharia. "Optimizing Supply Chain Management Through BO-CNN-LSTM for Demand Forecasting and Inventory Management," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-25. http://doi.org/10.4018/JOEUC.335591

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Mendeley
Published: Jan 17, 2024
DOI: 10.4018/JOEUC.336275
Volume 36
Jiwei Ran, Ganchang Zou, Ying Niu
With the growing urgency of global climate change, carbon neutrality, as a strategy to reduce greenhouse gas emissions into the atmosphere, is increasingly seen as a critical solution. However... Show More
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MLA

Ran, Jiwei, et al. "Deep Learning in Carbon Neutrality Forecasting: A Study on the SSA-Attention-BIGRU Network." JOEUC vol.36, no.1 2024: pp.1-23. http://doi.org/10.4018/JOEUC.336275

APA

Ran, J., Zou, G., & Niu, Y. (2024). Deep Learning in Carbon Neutrality Forecasting: A Study on the SSA-Attention-BIGRU Network. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-23. http://doi.org/10.4018/JOEUC.336275

Chicago

Ran, Jiwei, Ganchang Zou, and Ying Niu. "Deep Learning in Carbon Neutrality Forecasting: A Study on the SSA-Attention-BIGRU Network," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-23. http://doi.org/10.4018/JOEUC.336275

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Mendeley
Published: Jan 12, 2024
DOI: 10.4018/JOEUC.336276
Volume 36
Chunlai Song
VQA (visual question and answer) is the task of enabling a computer to generate accurate textual answers based on given images and related questions. It integrates computer vision and natural... Show More
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MLA

Song, Chunlai. "Enhancing Multimodal Understanding With LIUS: A Novel Framework for Visual Question Answering in Digital Marketing." JOEUC vol.36, no.1 2024: pp.1-17. http://doi.org/10.4018/JOEUC.336276

APA

Song, C. (2024). Enhancing Multimodal Understanding With LIUS: A Novel Framework for Visual Question Answering in Digital Marketing. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-17. http://doi.org/10.4018/JOEUC.336276

Chicago

Song, Chunlai. "Enhancing Multimodal Understanding With LIUS: A Novel Framework for Visual Question Answering in Digital Marketing," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-17. http://doi.org/10.4018/JOEUC.336276

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Mendeley
Published: Jan 10, 2024
DOI: 10.4018/JOEUC.336277
Volume 36
Zhilin Luo, Xuefeng Shao, Xiaochun Ma
The fairness of vocational contest scoring is key to generating reliable competency assessments. This study examined the performance impact of the motivation of English-as-a-foreign-language... Show More
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MLA

Luo, Zhilin, et al. "Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm: The Roles of Artificial Intelligence and Blockchain in Scoring and Data Integrity." JOEUC vol.36, no.1 2024: pp.1-21. http://doi.org/10.4018/JOEUC.336277

APA

Luo, Z., Shao, X., & Ma, X. (2024). Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm: The Roles of Artificial Intelligence and Blockchain in Scoring and Data Integrity. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-21. http://doi.org/10.4018/JOEUC.336277

Chicago

Luo, Zhilin, Xuefeng Shao, and Xiaochun Ma. "Enhancing Learners' Performance in Contest Through Knowledge Mapping Algorithm: The Roles of Artificial Intelligence and Blockchain in Scoring and Data Integrity," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-21. http://doi.org/10.4018/JOEUC.336277

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Mendeley
Published: Jan 10, 2024
DOI: 10.4018/JOEUC.336284
Volume 36
Bojing Liu, Mengxiang Li, Zihui Ji, Hongming Li, Ji Luo
With the penetration of deep learning technology into forecasting and decision support systems, enterprises have an increasingly urgent need for accurate forecasting of time series data. Especially... Show More
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MLA

Liu, Bojing, et al. "Intelligent Productivity Transformation: Corporate Market Demand Forecasting With the Aid of an AI Virtual Assistant." JOEUC vol.36, no.1 2024: pp.1-27. http://doi.org/10.4018/JOEUC.336284

APA

Liu, B., Li, M., Ji, Z., Li, H., & Luo, J. (2024). Intelligent Productivity Transformation: Corporate Market Demand Forecasting With the Aid of an AI Virtual Assistant. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-27. http://doi.org/10.4018/JOEUC.336284

Chicago

Liu, Bojing, et al. "Intelligent Productivity Transformation: Corporate Market Demand Forecasting With the Aid of an AI Virtual Assistant," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-27. http://doi.org/10.4018/JOEUC.336284

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Mendeley
Published: Jan 17, 2024
DOI: 10.4018/JOEUC.336481
Volume 36
Li Xiong, Yuanyuan Chen, Yi Peng, Yazeed Yasin Ghadi
This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine... Show More
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MLA

Xiong, Li, et al. "Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision." JOEUC vol.36, no.1 2024: pp.1-32. http://doi.org/10.4018/JOEUC.336481

APA

Xiong, L., Chen, Y., Peng, Y., & Ghadi, Y. Y. (2024). Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-32. http://doi.org/10.4018/JOEUC.336481

Chicago

Xiong, Li, et al. "Improving Robot-Assisted Virtual Teaching Using Transformers, GANs, and Computer Vision," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-32. http://doi.org/10.4018/JOEUC.336481

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Mendeley
Published: Jan 17, 2024
DOI: 10.4018/JOEUC.336482
Volume 36
Xiangqian Wang, Haifeng Hu, Yuyao Wang, Zhaoyu Wang
Conventional automobile manufacturing plants involve intricate assembly, testing, and debugging processes heavily reliant on manual operations. This study aims to explore the application of... Show More
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MLA

Wang, Xiangqian, et al. "IoT Real-Time Production Monitoring and Automated Process Transformation in Smart Manufacturing." JOEUC vol.36, no.1 2024: pp.1-25. http://doi.org/10.4018/JOEUC.336482

APA

Wang, X., Hu, H., Wang, Y., & Wang, Z. (2024). IoT Real-Time Production Monitoring and Automated Process Transformation in Smart Manufacturing. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-25. http://doi.org/10.4018/JOEUC.336482

Chicago

Wang, Xiangqian, et al. "IoT Real-Time Production Monitoring and Automated Process Transformation in Smart Manufacturing," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-25. http://doi.org/10.4018/JOEUC.336482

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Mendeley
Published: Jan 24, 2024
DOI: 10.4018/JOEUC.336547
Volume 36
Anfeng Xu, Yue Li, Praveen Kumar Donta
This article presents a study using ResNet-50, GRU, and transfer learning to construct a marketing decision-making model and predict consumer behavior. Deep learning algorithms address the scale and... Show More
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MLA

Xu, Anfeng, et al. "Marketing Decision Model and Consumer Behavior Prediction With Deep Learning." JOEUC vol.36, no.1 2024: pp.1-25. http://doi.org/10.4018/JOEUC.336547

APA

Xu, A., Li, Y., & Donta, P. K. (2024). Marketing Decision Model and Consumer Behavior Prediction With Deep Learning. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-25. http://doi.org/10.4018/JOEUC.336547

Chicago

Xu, Anfeng, Yue Li, and Praveen Kumar Donta. "Marketing Decision Model and Consumer Behavior Prediction With Deep Learning," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-25. http://doi.org/10.4018/JOEUC.336547

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Mendeley
Published: Jan 31, 2024
DOI: 10.4018/JOEUC.336848
Volume 36
Wei-Dong Liu, Xi-Shui She
In today's digital age, the e-commerce industry continues to grow and flourish. The widespread application of computer vision technology has brought revolutionary changes to e-commerce platforms.... Show More
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MLA

Liu, Wei-Dong, and Xi-Shui She. "Application of Computer Vision on E-Commerce Platforms and Its Impact on Sales Forecasting." JOEUC vol.36, no.1 2024: pp.1-20. http://doi.org/10.4018/JOEUC.336848

APA

Liu, W. & She, X. (2024). Application of Computer Vision on E-Commerce Platforms and Its Impact on Sales Forecasting. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-20. http://doi.org/10.4018/JOEUC.336848

Chicago

Liu, Wei-Dong, and Xi-Shui She. "Application of Computer Vision on E-Commerce Platforms and Its Impact on Sales Forecasting," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-20. http://doi.org/10.4018/JOEUC.336848

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.336923
Volume 36
Zhong Wu, Qiping She, Chuan Zhou
To elevate the intelligence of customer service dialogue systems, this article proposes an intelligent customer service system comprising chat dialogue subsystems, task-oriented multi-turn dialogue... Show More
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MLA

Wu, Zhong, et al. "Intelligent Customer Service System Optimization Based on Artificial Intelligence." JOEUC vol.36, no.1 2024: pp.1-27. http://doi.org/10.4018/JOEUC.336923

APA

Wu, Z., She, Q., & Zhou, C. (2024). Intelligent Customer Service System Optimization Based on Artificial Intelligence. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-27. http://doi.org/10.4018/JOEUC.336923

Chicago

Wu, Zhong, Qiping She, and Chuan Zhou. "Intelligent Customer Service System Optimization Based on Artificial Intelligence," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-27. http://doi.org/10.4018/JOEUC.336923

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.337606
Volume 36
Yanyu Chen, Qian Li, JunYi Liu
In today's global society, carbon neutrality has become a focal point of concern. Greenhouse gas emissions and rising atmospheric temperatures are triggering various extreme weather events, sea... Show More
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MLA

Chen, Yanyu, et al. "Innovating Sustainability: VQA-Based AI for Carbon Neutrality Challenges." JOEUC vol.36, no.1 2024: pp.1-22. http://doi.org/10.4018/JOEUC.337606

APA

Chen, Y., Li, Q., & Liu, J. (2024). Innovating Sustainability: VQA-Based AI for Carbon Neutrality Challenges. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-22. http://doi.org/10.4018/JOEUC.337606

Chicago

Chen, Yanyu, Qian Li, and JunYi Liu. "Innovating Sustainability: VQA-Based AI for Carbon Neutrality Challenges," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-22. http://doi.org/10.4018/JOEUC.337606

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.337607
Volume 36
Yunan Song, Huaqing Du, Tianyu Piao, Hongyu Shi
As global financial markets continue to evolve and change, financial risk monitoring and early warning have become increasingly important. However, the complexity and diversity of financial markets... Show More
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MLA

Song, Yunan, et al. "Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning." JOEUC vol.36, no.1 2024: pp.1-24. http://doi.org/10.4018/JOEUC.337607

APA

Song, Y., Du, H., Piao, T., & Shi, H. (2024). Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-24. http://doi.org/10.4018/JOEUC.337607

Chicago

Song, Yunan, et al. "Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-24. http://doi.org/10.4018/JOEUC.337607

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.337796
Volume 36
Pei-Hsuan Lin, Shih-Yeh Chen, Ying-Hsun Lai, Hsin-Te Wu
This research delves into the integration of the CDIO framework and gamified learning into a web crawling system, aiming to elevate the innovation and practical skills of corporate trainees. The... Show More
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MLA

Lin, Pei-Hsuan, et al. "Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education." JOEUC vol.36, no.1 2024: pp.1-18. http://doi.org/10.4018/JOEUC.337796

APA

Lin, P., Chen, S., Lai, Y., & Wu, H. (2024). Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-18. http://doi.org/10.4018/JOEUC.337796

Chicago

Lin, Pei-Hsuan, et al. "Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-18. http://doi.org/10.4018/JOEUC.337796

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Mendeley
Published: Feb 14, 2024
DOI: 10.4018/JOEUC.337970
Volume 36
De-shui Xia, Chen-Lu Kong
This article aims to study the role of digital finance in rural revitalization by utilizing the data for 30 provinces in China Mainland from 2012 to 2019, via the fixed effect model and differential... Show More
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MLA

Xia, De-shui, and Chen-Lu Kong. "The Impact of Digital Inclusive Finance on Rural Revitalization: Evidence From China." JOEUC vol.36, no.1 2024: pp.1-18. http://doi.org/10.4018/JOEUC.337970

APA

Xia, D. & Kong, C. (2024). The Impact of Digital Inclusive Finance on Rural Revitalization: Evidence From China. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-18. http://doi.org/10.4018/JOEUC.337970

Chicago

Xia, De-shui, and Chen-Lu Kong. "The Impact of Digital Inclusive Finance on Rural Revitalization: Evidence From China," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-18. http://doi.org/10.4018/JOEUC.337970

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.338214
Volume 36
Hewen Gao, Yu Sun, Weilin Shi
In the context of current smart city development, the efficiency of urban management has become crucial. Target detection technology plays a vital role in addressing the complexity of urban... Show More
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MLA

Gao, Hewen, et al. "The Internet of Things Drives Smart City Management: Enhancing Urban Infrastructure Efficiency and Sustainability." JOEUC vol.36, no.1 2024: pp.1-17. http://doi.org/10.4018/JOEUC.338214

APA

Gao, H., Sun, Y., & Shi, W. (2024). The Internet of Things Drives Smart City Management: Enhancing Urban Infrastructure Efficiency and Sustainability. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-17. http://doi.org/10.4018/JOEUC.338214

Chicago

Gao, Hewen, Yu Sun, and Weilin Shi. "The Internet of Things Drives Smart City Management: Enhancing Urban Infrastructure Efficiency and Sustainability," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-17. http://doi.org/10.4018/JOEUC.338214

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Mendeley
Published: Feb 7, 2024
DOI: 10.4018/JOEUC.338215
Volume 36
Bingqi Fu, Asma Salman, Susana Álvarez-Otero, Jialiang Sui, Muthanna G. Abdul Razzaq
The results indicate a dynamic pattern of interconnectedness throughout history. Based on the findings, the transmission of volatility exhibited a higher magnitude during the period of COVID-19. The... Show More
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Fu, Bingqi, et al. "The Dynamic Connectedness Between Environmental Attention and Green Cryptocurrency: Evidence From the COVID-19 Pandemic." JOEUC vol.36, no.1 2024: pp.1-18. http://doi.org/10.4018/JOEUC.338215

APA

Fu, B., Salman, A., Álvarez-Otero, S., Sui, J., & Razzaq, M. G. (2024). The Dynamic Connectedness Between Environmental Attention and Green Cryptocurrency: Evidence From the COVID-19 Pandemic. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-18. http://doi.org/10.4018/JOEUC.338215

Chicago

Fu, Bingqi, et al. "The Dynamic Connectedness Between Environmental Attention and Green Cryptocurrency: Evidence From the COVID-19 Pandemic," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-18. http://doi.org/10.4018/JOEUC.338215

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Published: Feb 20, 2024
DOI: 10.4018/JOEUC.338388
Volume 36
Yiping Zhang, Kolja Wilker
Effectively fusing information between the visual and language modalities remains a significant challenge. To achieve deep integration of natural language and visual information, this research... Show More
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Zhang, Yiping, and Kolja Wilker. "Visual-and-Language Multimodal Fusion for Sweeping Robot Navigation Based on CNN and GRU." JOEUC vol.36, no.1 2024: pp.1-21. http://doi.org/10.4018/JOEUC.338388

APA

Zhang, Y. & Wilker, K. (2024). Visual-and-Language Multimodal Fusion for Sweeping Robot Navigation Based on CNN and GRU. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-21. http://doi.org/10.4018/JOEUC.338388

Chicago

Zhang, Yiping, and Kolja Wilker. "Visual-and-Language Multimodal Fusion for Sweeping Robot Navigation Based on CNN and GRU," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-21. http://doi.org/10.4018/JOEUC.338388

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Published: Mar 12, 2024
DOI: 10.4018/JOEUC.340037
Volume 36
Daiheng Li, Mingyue Liu, Yun Zhao, Yuzhu Li, Tao Zhang, Wenjia Zhang, Dongrui Xia, Bo Lv
With the rapid development of artificial intelligence technology, algorithmic management is increasingly prevalent in enterprises. Despite the considerable scholarly attention given to the impact of... Show More
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Li, Daiheng, et al. "Why Does Algorithmic Management Undermine Employee Creativity?: A Perspective Focused on AMO Theory." JOEUC vol.36, no.1 2024: pp.1-16. http://doi.org/10.4018/JOEUC.340037

APA

Li, D., Liu, M., Zhao, Y., Li, Y., Zhang, T., Zhang, W., Xia, D., & Lv, B. (2024). Why Does Algorithmic Management Undermine Employee Creativity?: A Perspective Focused on AMO Theory. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-16. http://doi.org/10.4018/JOEUC.340037

Chicago

Li, Daiheng, et al. "Why Does Algorithmic Management Undermine Employee Creativity?: A Perspective Focused on AMO Theory," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-16. http://doi.org/10.4018/JOEUC.340037

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Published: Mar 12, 2024
DOI: 10.4018/JOEUC.340038
Volume 36
Yishu Liu, Jia Hou, Wei Zhao
Driven by the wave of digitalization, the booming development of the e-commerce industry urgently requires in-depth analysis of user shopping behavior to improve service experience. In view of the... Show More
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Liu, Yishu, et al. "Deep Learning and User Consumption Trends Classification and Analysis Based on Shopping Behavior." JOEUC vol.36, no.1 2024: pp.1-23. http://doi.org/10.4018/JOEUC.340038

APA

Liu, Y., Hou, J., & Zhao, W. (2024). Deep Learning and User Consumption Trends Classification and Analysis Based on Shopping Behavior. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-23. http://doi.org/10.4018/JOEUC.340038

Chicago

Liu, Yishu, Jia Hou, and Wei Zhao. "Deep Learning and User Consumption Trends Classification and Analysis Based on Shopping Behavior," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-23. http://doi.org/10.4018/JOEUC.340038

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Published: Mar 19, 2024
DOI: 10.4018/JOEUC.340383
Volume 36
Yijing Huang, Vinay Vakharia
This study explores the potential application of deep learning techniques in stock market prediction and investment decision-making. The authors used multi-temporary stock data (MTS) for effective... Show More
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Huang, Yijing, and Vinay Vakharia. "Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management." JOEUC vol.36, no.1 2024: pp.1-22. http://doi.org/10.4018/JOEUC.340383

APA

Huang, Y. & Vakharia, V. (2024). Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-22. http://doi.org/10.4018/JOEUC.340383

Chicago

Huang, Yijing, and Vinay Vakharia. "Deep Learning-Based Stock Market Prediction and Investment Model for Financial Management," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-22. http://doi.org/10.4018/JOEUC.340383

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Published: Mar 19, 2024
DOI: 10.4018/JOEUC.340385
Volume 36
Yi Wang, Tianyu Wang, Wanyu Wang, Yiru Hou
In the face of intensifying global climate change, carbon neutrality has emerged as a pivotal strategy to curb greenhouse gas emissions and confront the complexities associated with climate... Show More
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Wang, Yi, et al. "Collaborative Application of Deep Learning Models for Enhanced Accuracy and Prediction in Carbon Neutrality Anomaly Detection." JOEUC vol.36, no.1 2024: pp.1-25. http://doi.org/10.4018/JOEUC.340385

APA

Wang, Y., Wang, T., Wang, W., & Hou, Y. (2024). Collaborative Application of Deep Learning Models for Enhanced Accuracy and Prediction in Carbon Neutrality Anomaly Detection. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-25. http://doi.org/10.4018/JOEUC.340385

Chicago

Wang, Yi, et al. "Collaborative Application of Deep Learning Models for Enhanced Accuracy and Prediction in Carbon Neutrality Anomaly Detection," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-25. http://doi.org/10.4018/JOEUC.340385

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Published: Mar 13, 2024
DOI: 10.4018/JOEUC.340386
Volume 36
Yingli Wu, Qiuyan Liu
Visual search technology, because of its convenience and high efficiency, is widely used by major tourism e-commerce platforms in product search functions. This study introduces an innovative visual... Show More
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Wu, Yingli, and Qiuyan Liu. "A Novel Deep Learning-Based Visual Search Engine in Digital Marketing for Tourism E-Commerce Platforms." JOEUC vol.36, no.1 2024: pp.1-27. http://doi.org/10.4018/JOEUC.340386

APA

Wu, Y. & Liu, Q. (2024). A Novel Deep Learning-Based Visual Search Engine in Digital Marketing for Tourism E-Commerce Platforms. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-27. http://doi.org/10.4018/JOEUC.340386

Chicago

Wu, Yingli, and Qiuyan Liu. "A Novel Deep Learning-Based Visual Search Engine in Digital Marketing for Tourism E-Commerce Platforms," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-27. http://doi.org/10.4018/JOEUC.340386

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Published: Mar 20, 2024
DOI: 10.4018/JOEUC.340721
Volume 36
Lingyu Hu, Xianglu Hua, Lianqing Zhang, Jie Zhou, Yubo Tu
Disruption events highlight the importance of supply chain resilience (SCR) and leave managers wondering what characteristics can help firms survive and recover. This study employs the... Show More
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Hu, Lingyu, et al. "How Does Knowledge Management Matter for Supply Chain Resilience?: Mediator of Collaborative Innovation Capability and Moderator of Social Media Use." JOEUC vol.36, no.1 2024: pp.1-23. http://doi.org/10.4018/JOEUC.340721

APA

Hu, L., Hua, X., Zhang, L., Zhou, J., & Tu, Y. (2024). How Does Knowledge Management Matter for Supply Chain Resilience?: Mediator of Collaborative Innovation Capability and Moderator of Social Media Use. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-23. http://doi.org/10.4018/JOEUC.340721

Chicago

Hu, Lingyu, et al. "How Does Knowledge Management Matter for Supply Chain Resilience?: Mediator of Collaborative Innovation Capability and Moderator of Social Media Use," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-23. http://doi.org/10.4018/JOEUC.340721

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Published: Mar 26, 2024
DOI: 10.4018/JOEUC.340931
Volume 36
Qun Gao
With the rapid advancement of financial technology, an increasing number of related advertisements have received widespread attention. User engagement detection during the advertisement viewing... Show More
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Gao, Qun. "User Engagement Detection-Based Financial Technology Advertising Video Effectiveness Evaluation." JOEUC vol.36, no.1 2024: pp.1-11. http://doi.org/10.4018/JOEUC.340931

APA

Gao, Q. (2024). User Engagement Detection-Based Financial Technology Advertising Video Effectiveness Evaluation. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-11. http://doi.org/10.4018/JOEUC.340931

Chicago

Gao, Qun. "User Engagement Detection-Based Financial Technology Advertising Video Effectiveness Evaluation," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-11. http://doi.org/10.4018/JOEUC.340931

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Published: Mar 26, 2024
DOI: 10.4018/JOEUC.340932
Volume 36
Hang Zhang, Wenzheng Qu, Huizhen Long, Min Chen
With the continuous evolution of digital marketing, the generation of advertising images has become crucial in capturing user interest and enhancing advertising effectiveness. However, existing... Show More
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MLA

Zhang, Hang, et al. "The Intelligent Advertising Image Generation Using Generative Adversarial Networks and Vision Transformer: A Novel Approach in Digital Marketing." JOEUC vol.36, no.1 2024: pp.1-26. http://doi.org/10.4018/JOEUC.340932

APA

Zhang, H., Qu, W., Long, H., & Chen, M. (2024). The Intelligent Advertising Image Generation Using Generative Adversarial Networks and Vision Transformer: A Novel Approach in Digital Marketing. Journal of Organizational and End User Computing (JOEUC), 36(1), 1-26. http://doi.org/10.4018/JOEUC.340932

Chicago

Zhang, Hang, et al. "The Intelligent Advertising Image Generation Using Generative Adversarial Networks and Vision Transformer: A Novel Approach in Digital Marketing," Journal of Organizational and End User Computing (JOEUC) 36, no.1: 1-26. http://doi.org/10.4018/JOEUC.340932

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