1241 Research on Enterprise Risk Information Extraction Method Based on Triple Dimensions Hot! Liang Na, Yao Changqing, Wang Zheng, Gao Yingfan, Li Yan DOI: 10.3772/j.issn.1000-0135.2019.12.001 In recent years, the length of the annual report of enterprises has been increasing. As the main body of the annual report, the content of the three financial statements has remained constant. However, the text content outside the financial statements has become increasingly descriptive. Various supplementary explanations have become a useful addition to understand the current situation of the company’s production and operation. Among them, risk information disclosure has gradually become the focus of scholars due to its forward-looking and decision-making relevance. As such, the question of how to extract valuable content from the large amount of risk information has become a problem worth studying. Therefore, this paper considers the risk information disclosed in the 2016 semi-annual report of all A-share listed companies as the background data. It then proposes a three-dimensional risk information extraction method and extracts the risk information from the risk description text so that the extracted risk phrases are rich. The information content is extracted as much as possible to restore the information to be expressed in the original risk text. 2019 Vol. 38 (12): 1241-1249 [Abstract] ( 263 ) HTML (96 KB)  PDF (963 KB)  ( 803 )

1250 Research on the Information Disclosure in Annual Reports of A-Share Listed Companies Hot! Cui Di, Zheng Ming, Li Yan, Liu Zhihui DOI: 10.3772/j.issn.1000-0135.2019.12.002 With the acceleration of the informatization process and the arrival of the era of big data, data and information have become important strategic resources for every country. Additionally, the quality of information has become an important factor affecting social and economic values. At present, the information quality of enterprises’ annual reports has been a matter of wide concern. Based on an analysis and application of competitive intelligence, this study considers domestic A-share listed companies’ annual reports as the research object and constructs a non-financial data classification system. Research is then conducted on the quality of information disclosure in these annual reports. The study found that the quality of information disclosure in domestic A-share listed companies’ annual reports is gradually improving with the repeated revision and improvement of the regulatory system. Improvements in information relating to “core competitiveness”, “risk awareness”, and “supply chain” were especially significant, while the quality of key information for enterprise competitiveness analysis differed considerably across industries. Information quality for the manufacturing, information transmission, software, and information technology services industries was the highest, while that in the non-real economy industries and low-tech value-added industries, such as real estate, finance, and education, was relatively low. In terms of disclosure issues, the main problems include concealed suppliers or customer names, irregular regional expressions, and unclear product expression. In the future, relevant regulations should be further strengthened and an attempt should be made to establish a classification model and targeted specifications to fundamentally improve the information quality in annual reports. This would serve to improve in-depth competitive intelligence analysis of industries and enterprises based on granular knowledge. 2019 Vol. 38 (12): 1250-1259 [Abstract] ( 195 ) HTML (75 KB)  PDF (3562 KB)  ( 595 )

1260 Analysis of Product Information Organization in Listed CompaniesAnnual Reports Hot! Pu Mo, Gao Yingfan, Su Na, Yao Changqing, Yuan Fang DOI: 10.3772/j.issn.1000-0135.2019.12.003 Utilizing the theory of information organization, this paper investigates the disclosure of product information in the annual report of listed companies in the United States, compares the differences in the disclosure content and disclosure forms of product information between China and the United States, and studies the organization of product information of listed companies. This paper then proposes suggestions to optimize the information organization of annual reports for listed companies in China. The results suggest that the CSRC should formulate a unified product classification standard and coding system to encompass product naming, classification and coding, and disclosure forms. Additionally, the CSRC should issue specific product information disclosure specifications and force listed companies to implement them. 2019 Vol. 38 (12): 1260-1267 [Abstract] ( 165 ) HTML (62 KB)  PDF (1168 KB)  ( 576 )

1268 A Method for Measuring the Relevance Between Patents and Enterprises Hot! Gao Yingfan, Wang Zheng, Hu Xiaorong, Yao Changqing, Liang Na DOI: 10.3772/j.issn.1000-0135.2019.12.004 With the number of patent applications in China growing each year, some of these applications are becoming increasingly chaotic, as evident from the actions of certain enterprises in declaring or purchasing patents indiscriminately in order to win policy awards under the state’s support and encouragement policies for patent applications. This can result in patents that have no positive impact on corporate development or profit improvement, and that are not related to the company's main products. In this context, patent and enterprise relevance measurement research has become a valuable research topic. In considering the subjective evaluation methods of experts in the field of patent and enterprise relevance judgment, this study proposes a more valuable, innovative application method and provides an alternative to the traditional subjective evaluation methods. Information theory and deep learning methods are used to identify the index of patents. Additionally, the degree to which patent index words are mapped in corporate texts is measured in order to achieve an automatic quantification of patent and enterprise relevance. This study conducts an overall evaluation of the relevance of patents and enterprises in the environmental protection industry. Among the 4325 patents in the environmental protection field, there are 4065 consistent results and 260 inconsistent results, or an accuracy rate of 94%. The feasibility of the method is thus verified. 2019 Vol. 38 (12): 1268-1274 [Abstract] ( 217 ) HTML (83 KB)  PDF (813 KB)  ( 539 )

1275 Research on the Construction of Multi-Dimensional Maps of Weibo’s Lyrics from the Perspective of Panoramic Ecology Hot! Wang Dan, Zhang Haitao, Liu Yan, Zhang Xinrui DOI: 10.3772/j.issn.1000-0135.2019.12.005 The objective of this study is to monitor the microblog public opinion in real time more efficiently, maintain the healthy operation of microblog public opinion, and create a sunny microblog network space. By combining the operation mechanism of the microblog, applying the theory and method of knowledge atlas, and crawling microblog data, the atlas is constructed from the three dimensions of the panorama formed by the combination of subject (user), object (information), and subject-object of the microblog. The main map, object map, and the panoramic ecological map are respectively constructed, which reveal the “panoramic” and dynamic changes in the dissemination of public opinion on microblog. 2019 Vol. 38 (12): 1275-1285 [Abstract] ( 311 ) HTML (78 KB)  PDF (8432 KB)  ( 409 )

1286 Key Node Mining of Weibo Public Opinion Based on Super Network Theory Hot! Zhang Lianfeng, Zhou Honglei, Wang Dan, Zhang Haitao DOI: 10.3772/j.issn.1000-0135.2019.12.006 In order to better excavate the key nodes in microblog public opinion, guide them with people-oriented ideas, and create a sunny space for microblog, this research is used in combination with the super-network structure in the Weibo public opinion network, super-network, and simulation analysis methods to mine the key nodes in the microblog and analyze their emotional tendencies. It can clearly identify the key nodes in Weibo’s public opinion and employ different approaches of leading the strategy, which are beneficial in alleviating the emotions of netizens and purifying the microblogging network space by point and face. 2019 Vol. 38 (12): 1286-1296 [Abstract] ( 208 ) HTML (163 KB)  PDF (1505 KB)  ( 944 )

1297 Financial Security Intelligence Analysis Based on Blockchain Driven Trustable Big Data and AI Hot! Ding Xiaowei and Su Xinning DOI: 10.3772/j.issn.1000-0135.2019.12.007 Financial security is a vital component of national security. The 2008 financial tsunami endangered the whole world and is a valuable research sample of financial security to this day. There are many causes for the financial crisis. This study reflects on the 2008 financial crisis from an intelligence analysis perspective. From a data and information point of view, incomplete, imperfect, inaccurate, fragmented, untrustworthy, and inadequate data are the causes of the crisis; whereas data and information silos hinder the intelligent analysis of financial risk and hamper the detection of early warning signs, all of which contributed to the crisis. From a modeling and methodology perspective, input data quality affects model and output quality (GIGO—garbage in, garbage out). The lack of efficient integration between human and machine intelligence is also one of the important causes for the lack of early risk warning signs and the inability to resist crises. Ten years later, we now have blockchain, big data, and artificial intelligence. Will we do better in another financial crisis? This study calls for the construction of a new foundational financial information infrastructure. On this basis, the concepts of trustworthy blockchain-based big data, artificial intelligence, and financial (big data) intelligence analysis are put forward. Equipped with a new foundational financial information infrastructure architecture and a new intelligence analysis based on trustworthy big data and artificial intelligence, human beings are expected to improve their prevention and control of financial risk, early detection of possible financial crises, and maintenance of financial security. 2019 Vol. 38 (12): 1297-1309 [Abstract] ( 239 ) HTML (103 KB)  PDF (756 KB)  ( 1829 )

1310 Construction of an Intelligence Resource Support Capability for Smart Emergency Management Hot! Li Yang and Sun Jianjun DOI: 10.3772/j.issn.1000-0135.2019.12.008 At present, the emergency management system in China is facing institutional change and entering a new stage of development. At the same time, there is rapidly increasing demand for big data on emergencies, as well as intelligence resources in the field of emergency business. These changes introduce new expectations and requirements for the pattern of “big intelligence” for smart emergency management. This paper summarizes the current situation and problems of intelligence resource support in the field of emergency management, including insufficient intelligence awareness, inadequate construction, outdated technology, low cooperation and sharing, and weak sustained security. Based on the Chinese context and modern environment, this paper puts forth a realistic proposition for the construction of an intelligence resource support capability for smart emergency management processes, and analyzes its connotation and orientation. From the perspective of capability deconstruction, the main content and operation mechanism of the relevant capability system are explained through four dimensions: the basic reserve capability, the deep development capability, the collaboration capability, and the sustainable development capability. Finally, the paper puts forwards countermeasures to cultivate capability, which include the self-conscious and self-making of intelligence resources, technological developments in intelligence resources, the overall mobilization of intelligence resources, and the ecological optimization of intelligence resources in order to support the realization of a smart and flexible intelligence system for emergency management in the new era. 2019 Vol. 38 (12): 1310-1319 [Abstract] ( 207 ) HTML (77 KB)  PDF (1125 KB)  ( 602 )

1320 Exploring the Health Information Seeking Behavior of Older Adults in Urban China: A Phenomenological Study Hot! Zhao Dongxiang, Ma Feicheng, Zhang Qiping DOI: 10.3772/j.issn.1000-0135.2019.12.009 In the aging society and information age, the health information seeking behavior (HISB) of older adults has become a common social phenomenon that has attracted attention from many research fields and disciplines. However, the previous studies on the HISB of older adults were predominantly quantitative in nature and short on depth and underling details. They were mostly limited to the Internet environment, and therefore overlooked the need to investigate the entire information environment. As an exploratory study, this paper aimed to investigate the HISB of older adults in urban China from the perspective of phenomenology. Five older adults from Wuhan, a provincial capital city in central China, were selected as the sample and semi-structured interviews were used to collect their detailed descriptions and interpretations of HISB in their daily lives. Phenomenological analyses of the following five aspects of older adults’ HISB were conducted: underlying meanings, primary patterns, source preferences, difficulties and challenges, and online HISB. The main findings included the following: (1) The elderly believed that the meaning of HISB primarily lies in disease prevention and control, enjoying life, caring for family members, and reducing the burden on children. Life worlds and health responsibility were viewed as the most important elements of HISB. (2) Active HISB and proactive HISB were the primary patterns for older adults in urban China, and most of them adopted both patterns simultaneously in their daily lives. (3) For older adults, television programs, Internet media, print media, and interpersonal networks were the four most often used sources of health information, while medical institutions/health professionals and authoritative television programs were the two most trusted sources of health information. (4) Self-factors and social support factors hindered health information seeking by the elderly. (5) Although the Internet was not a mainstream channel for older adults to search for health information, it does play an increasingly important role in the health information seeking of older adults in China. 2019 Vol. 38 (12): 1320-1328 [Abstract] ( 391 ) HTML (99 KB)  PDF (810 KB)  ( 1709 )

1329 Research on the Dynamics and Trends of the Development of Public Opinion Topic Maps in Social Networks Hot! Wang Xiwei, Wei Yanan, Xing Yunfei, Wang Duo DOI: 10.3772/j.issn.1000-0135.2019.12.010 With the development of social media technology, the dissemination and supervision of public opinion on social networks have become a new concern of domestic and foreign scholars, relevant industries, and public opinion supervision departments. This research is based on the collected knowledge map of network public opinion and the social media environment of the relevant literature at home and abroad. Qualitative analysis and a knowledge map visualization method are used to comb through domestic and foreign scholars in the social media network public opinion research hotspot in the field of knowledge maps. Analyze the future development trend of big data-driven social network public opinion topic map. This research helps scholars at home and abroad to understand the research hotspots and development trends of the topic map of social network public opinion. It provides research ideas and directions for the study of the topic map of social network public opinion driven by big data theoretically and practically, and provides guidance for the future supervision of relevant regulatory authorities. 2019 Vol. 38 (12): 1329-1338 [Abstract] ( 289 ) HTML (123 KB)  PDF (1819 KB)  ( 1655 )