International Journal of Crowd Science最新文献

{"title":"On the Determinants of Platform Boundary: A Study from the Perspective of Transaction Cost Theory","authors":"Hang Liu;Xuan Liu;Baowen Sun;Jiayu Wang","doi":"10.26599/IJCS.2025.9100005","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100005","url":null,"abstract":"In the digital economy era, the rapid expansion of internet platforms has resulted in highly concentrated market structures in online markets, thereby eliciting intensified scrutiny from regulatory authorities. In this paper, we aim to explore the key factors that shape the boundaries of platform firms by extending the transaction cost theory. We first define the boundaries of platform enterprises and provide specific measurement methods for their boundaries. By analyzing the distinctions between platform enterprises and manufacturing firms, we adapt the classical transaction cost theory to identify the key determinants of platform enterprise boundaries across three dimensions: data assets and digital technology, network effects, and organizational models. Finally, we offer policy recommendations to foster the healthy development of the platform economy based on our theoretical analysis. Our study highlights the critical role of platform boundary decisions within the framework of crowd science, as they fundamentally shape how diverse smart entities are coordinated on the platform to impact resource allocation efficiency and market stability.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"175-180"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142636","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts","authors":"Jin Sun;Leiju Qiu","doi":"10.26599/IJCS.2025.9100004","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100004","url":null,"abstract":"Human-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives socio-economic evolution. This paper redefines HMC through the lens of co-evolution of human and machine capabilities and distributed decision-making, systematically analyzing its development history, collaboration models, and transformative impact on productivity, innovation, and labor markets. This paper believes that human-machine collaboration is the collaborative participation of people and machines in solving problems. It introduces various models of human-machine collaboration from the perspective of automation and autonomy, and discusses the criteria for selecting appropriate models. In terms of economic and social impact, this article first summarizes the existing quantitative measurement methods at the national, regional, and enterprise levels, and discusses the economic impact and impact path of human-machine collaboration from the micro, market, and macro levels of individuals and enterprises. Finally, this paper proposes future research directions, including the improvement of quantitative data of human-machine collaboration, the clarification of the issue of legal responsibility, the formulation of management-level strategies, and indepth research in the fields of medical care, aviation, banking, etc. This paper aims to deepen the understanding of human-machine collaboration and provide reference for future research.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"149-163"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142638","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intermediary Effect of Digital Economy on Impact of the Fiscal Revenue and Expenditure Structure on Dual-Circulation Development Paradigm","authors":"Yan Zhao;Xiaoya Kong;Jing Yang;Piotr Felisiak","doi":"10.26599/IJCS.2024.9100011","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100011","url":null,"abstract":"In the context of dual-circulation development paradigm and high-quality economic growth in full swing, it is crucial to adjust the structure of fiscal revenue and expenditure to drive the crowd intelligence-driven digital economy's development. From the perspectives of fiscal revenue and expenditure structure and market, this study examines the impact of fiscal and taxation policies on the digital economy in China based on the data from 2007 to 2020 (excluding 2021 and 2022 due to COVID-19). The results show that the digital economy's development is positively correlated with several factors, including the proportion of science and technology, financial supervision, energy conservation, environmental protection expenditure, and income tax revenue. Conversely, general public service expenditure, turnover tax, resource tax, and administrative fees have an unfavorable impact on the digital economy. Furthermore, mainly via their impact on the digital economy, general public services, financial regulatory expenditure, and turnover tax revenues indirectly affect the dual-circulation development paradigm. Among the different markets, the consumer market has the most significant impact. Our research provides policy implications for the government in China. In summary, the Chinese government should reduce the scale of general public service expenditure and turnover tax, increase financial supervision, environmental protection and energy conservation, as well as science and technology expenditure. Additionally, regional differences in fiscal revenue and expenditure structure should be considered, and the inter-regional policy intensity should be adjusted based on general macro measures.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"199-209"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142637","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Advanced Information Technology in Tax Enforcement on Financial Reporting Quality: Evidence from a Quasi-Natural Experiment in China","authors":"Sihan Zhang;Zuoti Shi;Xiaoran Ni","doi":"10.26599/IJCS.2024.9100030","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100030","url":null,"abstract":"The application of information technology in tax enforcement represents a paradigmatic case of crowd science within government administration, facilitating the adoption of sound governance principles and the achievement of policy objectives through the enhanced deployment of information technologies. This study empirically examines the impact of advanced information technology in tax enforcement, a critical component of government modernization, on the quality of financial reporting. To establish causality, we leverage the staggered implementation of Stage Three of the Golden Tax Project (GTP-3) as a quasi-natural experiment, which integrates modern information technologies into tax enforcement processes. The difference-in-differences estimation results indicate that GTP-3 significantly curtails corporate earnings manipulation. This effect is particularly pronounced in firms taxed by local taxation bureaus, state-owned enterprises, and those with stronger political connections. Moreover, GTP-3 effectively mitigates the crash risk of stock prices for firms subject to its provisions. Overall, our study contributes to the understanding of how crowd science, such as those deployed in tax enforcement, can improve the information quality of the capital market and intersect with broader societal dynamics.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"164-174"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142649","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Formation Path of Unfair Competition of Platform Enterprises Based on the Perspective of Configuration","authors":"Wenjun Jing;Linlin Wang;Jun Hu","doi":"10.26599/IJCS.2024.9100010","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100010","url":null,"abstract":"Competition among platform enterprises is a contest of value creation behaviors by multiple groups and is one of the important manifestations of the crowd science in the field of platform economy. However,the frequent unfair competition among platform enterprises has hindered the healthy and rapid development of the platform economy. Clarifying the source of unfair competition is an important prerequisite to regulate this behavior, and the unfair competition behavior between platform enterprises has a complex generation path. In order to clarify this path, this paper explores the source of unfair competition in the platform economy from the perspective of configuration by qualitative comparative analysis. The results of this paper show that unfair competition among platform enterprises is the result of five factors, such as business difference, enterprise scale difference, innovation ability difference, profitability difference, and regulatory environment. These factors combine with each other to form four configuration paths of unfair competition among platform enterprises. Finally, from the perspective of reducing unfair competition in the industry, this paper puts forward specific ideas to standardize the development of platform economy, including respecting the law of platform development, reducing excessive market intervention, and trying to construct the proactive regulatory model with expected nature.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"181-189"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142635","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric Analysis on Digital Talent Cultivation in China","authors":"Gang Liu;Siyuan Zhao;Muhammad Saleem Sumbal","doi":"10.26599/IJCS.2025.9100003","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100003","url":null,"abstract":"With the vigorous development of the digital economy and the deepening of enterprise digital transformation in China, cultivating digital talent has become a focus of academic research. This study examines the literature related to digital talent from 2015 to 2025 in the China National Knowledge Infrastructure (CNKI) journal database and employs a bibliometric analysis approach to investigate the research focus and trends in digital talent development. The analysis covers authors, institutions, keywords, research hotspots, and trend evolution. The findings reveal the following: First, with the advancement of digital transformation policies by governments and enterprises, the number of publications related to digital talent has significantly increased in recent years. Second, a stable core group of authors has yet to emerge domestically, and collaborations between research institutions are mostly confined to specific regions with limited collaboration. Third, digital talent research mainly focuses on the digital economy and digitalization, enterprise digitalization and digital transformation, and the cultivation of digital talent. Finally, on the basis of the analysis results of the knowledge graph and the national situation, implementation strategies for digital talent cultivation are proposed. These strategies inherently align with crowd science principles, where human-machine-object intelligence interactions drive collective evolution, collaborative innovation, and decentralized decision-making to enhance socio-economic efficacy.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"190-198"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142641","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Special Issue on Digital Economy and Platform Governance","authors":"Hang Liu","doi":"10.26599/IJCS.2025.9100006","DOIUrl":"https://doi.org/10.26599/IJCS.2025.9100006","url":null,"abstract":"The digital economy has become a transformative force, fundamentally reshaping global economic structures, business models, and governance frameworks. At its core lies crowd science and engineering (CSE), which leverages the interconnectedness of diverse smart entities—composed of individuals, enterprises, and governmental agencies—to enhance the stability of the economic system and the efficiency of resource allocation^[1]. This synergy fosters smarter, more adaptive systems, enabling innovation and resilience across industries while optimizing processes for sustainable growth.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 3","pages":"147-148"},"PeriodicalIF":0.0,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11142648","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144904691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Survey on AI-Assisted Power Transmission Line Fault Detection","authors":"Yue Zhang;Yonghui Xu;Lizhen Cui","doi":"10.26599/IJCS.2024.9100016","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100016","url":null,"abstract":"As the main channel for energy transmission, the stable operation of transmission lines is crucial for energy supply and economic development. However, various faults such as short circuits, overloads, and poor grounding contacts inevitably occur during the operation of transmission lines. These faults not only affect the power quality but also cause equipment damage, and even lead to fires and safety accidents. Therefore, the research on transmission line fault detection technology is of great significance. This paper analyzes the advantages and disadvantages of existing artificial intelligence-assisted transmission line fault detection technologies, aiming to provide valuable references for the comprehensive realization of intelligent transmission line fault detection and promote further development in this field.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 2","pages":"139-146"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lightweight Human Behavior Recognition Method for Visual Communication AGV Based on CNN-LSTM","authors":"Shuhua Zhao;Jianxin Zhu;Jiang Lu;Zhibo Ju;Dong Wu","doi":"10.26599/IJCS.2024.9100014","DOIUrl":"https://doi.org/10.26599/IJCS.2024.9100014","url":null,"abstract":"Behavior recognition uses deep learning network model to automatically extract the deep features of data, but traditional machine learning algorithms have some problems such as manual feature extraction and poor generalization ability of models. The S-MobileNet is proposed for human behavior recognition. Firstly, the 3D convolution to extract features is used to build a time series model to learn the long-term dependence of human behavior characteristics on time series. Secondly, Long Short-Term Memory (LSTM) is used as the input of multi-layer recurrent neural network time series model, so as to obtain individual dynamic features, and then individual features are aggregated by attention pooling mechanism to obtain corresponding group behavior features. At last, the recognition of individual behavior and group behavior is completed by relying on the characteristics of individual and group behavior. The experiments show that the network in this paper achieves high recognition accuracy on UCF101 and HMDB51 datasets, and the overall recognition rate of proposed model for 13 kinds of human behaviors is 95.3%.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 2","pages":"133-138"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11003456","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote Monitoring System of Patient Status in Social IoT Environments Using Amazon Web Services Technologies and Smart Health Care","authors":"Amer Tahseen Abu-Jassar;Hani Attar;Ayman Amer;Vyacheslav Lyashenko;Vladyslave Yevsieiev;Ahmed Solyman","doi":"10.26599/IJCS.2023.9100019","DOIUrl":"https://doi.org/10.26599/IJCS.2023.9100019","url":null,"abstract":"This study investigates the problematic characteristics of contemporary methods for remote and portable patient monitoring. The consideration is based on recent breakthroughs in information technology and progressive strategies for processing and storing biomedical data. The proposed system represents the Medicine 4.0 concept's next technological leap. Existing methods for remote and portable monitoring of a patient's status have several vital disadvantages in system flexibility and the convenience of processing and evaluating biomedical data, according to an analysis of these systems. The authors have created a new concept for a Remote Patient Monitoring System (RPMS) that allows for undetectable wear during the patient's daily activities. Small modules comprising a microcontroller and a collection of medical sensors transfer data in real-time via wireless Internet of Things (IoT) technologies to a cloud service for the attending physician's processing and visualization convenience. Based on the proposed concept, the authors created a structural diagram of the experimental RPMS and its built prototype. Amazon Web Services (AWS) is used for the real-time processing of biomedical patient data and its subsequent analysis using a graph-based information visualization system. The performed experimental procedure confirmed that the developed experimental RPMS has minimal latency in transmitting data to AWS; it can alert both the patient and the physician about the need for emergency intervention or treatment adjustments, even if critical indicators are detected. Additionally, the proposed system can incorporate components of expert systems and Artificial Intelligence (AI) systems. The authors advocate using the accomplished system for functional diagnostics specialists, paramedics, and cardiologists in medical facilities and the military medical system for rapid diagnosis and direct monitoring of troops' health state on the battlefield.","PeriodicalId":32381,"journal":{"name":"International Journal of Crowd Science","volume":"9 2","pages":"110-125"},"PeriodicalIF":0.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11003454","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}