217 Research on Participation Process and Underlying Mechanism of Quantified Self Based on Mobile Experience Sampling Method Hot! Zhu Qinghua, Xu Xiaoting, Zhao Yuxiang, Yang Mengqing DOI: 10.3772/j.issn.1000-0135.2022.03.001 As an important means of personal health management, the quantified self (QS) has been favored by many health consumers. It is of great significance for Chinese citizens to establish personal health awareness, and cultivate a healthy lifestyle and further practice the ‘Health China Action (2019-2030).’ However, existing studies do not focus on the specific participation process of QS from a micro perspective. In this regard, we use the mobile experience sampling method (mESM) and the ad hoc interview to obtain the data of 15 QS users. We identify the participation process, key information behaviors, and main barriers of QS in different stages. The results indicate that the participation process of QS can be divided into the initial, maintenance, and discovery stages. In the initial stage, the key information behaviors include the identification of tools, content, and goals, while the main barriers include tool selection and information overload. In the maintenance stage, the key information behaviors include data viewing, collection, and sharing, while the main barriers include delayed reminders, unstable systems, decentralized visualization, and lack of data standards. In the discovery stage, the key information behaviors focus on data comparison, reflection, and interpretation, while the main barriers include complex data connection, abnormal system feedback, and difficulty in understanding data. Moreover, the underlying mechanism of the participation process of QS in different stages is identified. 2022 Vol. 41 (3): 217-228 [Abstract] ( 319 ) HTML (117 KB)  PDF (1328 KB)  ( 500 )

229 Sustained Participation Motivation of Quantified Self for Personal Health Information Management Hot! Xu Xiaoting, Zhu Qinghua, Yang Mengqing, Zhao Yuxiang DOI: 10.3772/j.issn.1000-0135.2022.03.002 With the development of smart devices and the mobile Internet, an increasing number of users have joined the quantified self (QS) movement to manage personal health information, with the aim of realizing changes in health behavior. Promoting the sustainability of QS is a necessary prerequisite for maintaining health behaviors, and is also conducive to guiding the development of QS-related practices. To this end, this study focuses on identifying users' sustained participation motivation of QS for personal health information management and conducting empirical research. According to a literature review, there are 10 factors of sustained participation motivation, which mainly include tool-driven, society-driven, and user-driven dimensions. We develop relevant theoretical models using the stimuli-organism-response (S-O-R) model. Then, we consider Keep, an application for personal health information management, as an empirical case study to perform confirmatory analysis. We use a questionnaire survey to collect data (N = 373) and the partial least square method to verify the research hypothesis. The empirical analysis reveals that sustained participation motivation for personal health information management has various significant effects. In the tool-driven dimension, self-regulation positively affects perceived usefulness; information seeking and ease of use positively affect self-efficacy; and extrinsic rewards positively affect enjoyment. In the society-driven dimension, subjective norms positively affect self-efficacy, and social contact positively affects enjoyment and the sense of belonging. In the user-driven dimension, perceived usefulness, self-efficacy, and enjoyment have a significant positive effect on the sustained participation motivation of QS. Furthermore, gender and age play a moderating role in certain relationships. This study enriches the theoretical basis of the sustained participation motivation of QS and proposes a few suggestions for QS-related health information service. 2022 Vol. 41 (3): 229-243 [Abstract] ( 254 ) HTML (213 KB)  PDF (1211 KB)  ( 730 )

244 Quantified Self: Research Development, Elements and Opportunities Hot! Yang Mengqing, Zhu Qinghua, Zhao Yuxiang, Xu Xiaoting DOI: 10.3772/j.issn.1000-0135.2022.03.003 In this study, research on the quantified self (QS) is reviewed to provide a theoretical reference for the further study of QS in the field of health informatics. First, this paper reviews the history of QS and clarifies its key event nodes. Second, the core and extension of the concept of QS are defined. Then, studies on QS in the field of information management are considered as the review object to summarize and analyze the research topics. To gain a better understanding of QS, this study introduces activity theory to analyze the components of the activity of QS. Finally, combined with the research characteristics of the information management discipline, the future direction of research on QS is proposed. 2022 Vol. 41 (3): 244-253 [Abstract] ( 258 ) HTML (116 KB)  PDF (1577 KB)  ( 481 )

254 Fundamental Issues of ESI Research Fronts and the Method for Comparing National R&D Competitiveness Based on Them Hot! Bian Wenyue, Li Guopeng, Zhou Qiuju, Leng Fuhai DOI: 10.3772/j.issn.1000-0135.2022.03.004 The research fronts of the Essential Science Indicators (ESI) database have recently become a prominent topic in the society of information science worldwide. This study first discusses several fundamental issues of ESI research fronts, arguing that their core papers can be used to indicate current research and development (R&D) focuses but cannot directly be used to compare national R&D competitiveness. Then, the study shows a method for comparing national R&D competitiveness based on ESI research fronts, while discussing a solution for shortcomings and an introduction of analysis of knowledge units. Finally, the method is successfully demonstrated based on the research front “perovskite solar cells.” 2022 Vol. 41 (3): 254-262 [Abstract] ( 310 ) HTML (94 KB)  PDF (2541 KB)  ( 431 )

263 Research on the Relationship between the Interdisciplinarity and Radicalness of Papers from the Perspective of Knowledge Integration Hot! Lyu Dongqing, Ruan Xuanmin, Li Jiang, Cheng Ying DOI: 10.3772/j.issn.1000-0135.2022.03.005 Scientific research is becoming increasingly interdisciplinary. This study is an attempt to explore the influence of the interdisciplinarity of papers on their radicalness. Thus, 498,162 papers from the neurosciences indexed in the Web of Science between 1975 to 2011 were collected, and the reference diversity index and D index were used to measure the papers’ interdisciplinarity and radicalness, respectively. We employed a logistic regression method and controlled the influence of the attributes of the team and each document on the results. Our principal findings suggest that the interdisciplinarity of papers has a strong and positive effect on their radicalness, and team size and international collaboration are negatively associated with the D index, while an additional increase in the number of domestic institutions of a team statistically favors radical innovation. Papers without funding are also more radical than those funded with a grant. 2022 Vol. 41 (3): 263-274 [Abstract] ( 273 ) HTML (168 KB)  PDF (1660 KB)  ( 335 )

275 Evaluation of Data Papers from the Perspective of Multi-dimensional Influence Fusion Hot! Xu Xin, Ye Dingling DOI: 10.3772/j.issn.1000-0135.2022.03.006 With the influence of data papers, data metrics has gradually risen to prominence. Based on data metrics, this paper integrates multi-dimensionality and multiple indexes to comprehensively evaluate the influence of data papers. First, an analysis of the mechanism of the influence of data papers via information dissemination is conducted. The influence of data papers can be divided into three dimensions: potential influence, academic influence, and social influence. Based on this a comprehensive evaluation system of data paper's influence is constructed by fusing Altmetrics and citation analysis. Finally, the evaluation results of the influence of data papers is deconstructed using correlation analysis and three-dimensional space difference analysis. The results show that three-dimensional influence reflects the comprehensive influence of data papers, and these complement and promote one another. At the same time, data papers should promote the targeted development of review mechanisms, citation mechanisms, and incentive mechanisms as a whole and promote the internal optimization of the quality, content, logic, and timeliness of data papers. 2022 Vol. 41 (3): 275-286 [Abstract] ( 235 ) HTML (120 KB)  PDF (2154 KB)  ( 401 )

287 Construction of Knowledge Graph of Industry Chain Based on Natural Language Processing Hot! Mao Ruibin, Zhu Jing, Li Aiwen, Zhou Yiwen, Pan Binqiang, Yue Lin DOI: 10.3772/j.issn.1000-0135.2022.03.007 Industry chain knowledge graphs are widely used in the financial field, but most of the current studies are based on single-industry knowledge graphs or industrial competitive intelligence services, and these have not organically combined the industry chain and knowledge graph. From the perspective of the application, this paper examines the construction method of the industry chain knowledge graph. First, the construction process and ontology database are proposed. Based on the domain language model, the financial domain text processing methods such as knowledge classification, extraction, and fusion are realized, massive domain texts are extracted and integrated, and the industrial chain knowledge graph is successfully constructed. The industry chain knowledge graph system constructed according to the method herein covers 78 industrial chains and 7629 subdivided industries, which is applied to many critical financial activities such as investment and financing, supervision, and industrial planning. 2022 Vol. 41 (3): 287-299 [Abstract] ( 667 ) HTML (146 KB)  PDF (3553 KB)  ( 1158 )

300 Multidimensional Measurement of the Catalytic Capacity of Technology Innovation Based on Patentometrics Hot! Song Haoyang, Hou Jianhua, Zhangyang DOI: 10.3772/j.issn.1000-0135.2022.03.008 As participants of innovation activities, innovation catalysts play an important supporting role in improving the efficiency of technology innovation. However, the research on technological innovation catalytic capacity measurement is very limited. Most studies take the subjective evaluation of questionnaire surveys as the core method, lacking comprehensive and quantitative measurement tools and methods. By defining and analyzing the connotation of the catalytic capacity of technological innovation (CCTI), in this study, a two-dimensional conceptual structure model of spillover and diffusion catalysis of technology innovation (CCTS and CCTD) was proposed. Subsequently, based on the characteristics of the ranking of patent cooperative applicants and citation information, a multidimensional measurement index system was constructed from two aspects of technological catalysis strength and breadth. Further, international innovation catalysts from China, the United States, Japan, and South Korea were taken as samples to explore the differences and characteristics of their CCTI. The results show that (1) CCTI has two-order, multidimensional structural characteristics, which are further reflected in the strength and breadth of innovation catalysis, and can be measured from four indexes: contribution, quality, geographical scope, and subject scope. (2) Innovation catalysts show two kinds of capacity preferences in each dimension index and catalytic capacity; thus, Toyota Motor Corp represented the development of CCTS and CCTD at the same time while the preference of CCTD was represented by Samsung Electronics Company (SEC), while State Grid Corporation of China (SG) with high spillover catalysis-low diffusion catalysis has individual particularity. (3) CCTS of innovation catalysts in China, Japan, South Korea, and the United States decreased in order, while their CCTD ranked in the opposite direction. This study enriches the concept and measurement of CCTI, reveals the characteristics of different catalysts, and provides a new perspective and method for evaluating and selecting innovation partners. 2022 Vol. 41 (3): 300-313 [Abstract] ( 264 ) HTML (207 KB)  PDF (1834 KB)  ( 277 )

314 The Recognition and Changes in Users' Emotions during Online Academic Information Search Processes Hot! Han Zhengbiao, Ma Maoning, Zhai Ranran DOI: 10.3772/j.issn.1000-0135.2022.03.009 The purpose of this study was to explore the recognition and changes in users' emotions during the processes of completing two types of search task and their causes. Data on 75 subjects' emotions during the processes of two search tasks—namely, a factual search and a topic search—were collected via the experimental, think aloud, and questionnaire methods. The data were analyzed by paired samples t-tests, open coding, and axial coding. The results showed that, first, three types of emotion were identified during the search processes of the two tasks, which were positive, negative, and neutral. The number of negative emotional changes emerged as an inverted V-shaped pattern. The number of positive emotions showed different change patterns in different task types. The number of neutral emotions was very low in both types of search task. Second, the users' emotions in each stage of the search task were derived from different factors. In the demand generation stage, users' cognition of the search task was the main source result in their emotions. In the executing search stage, users' cognition of the search results and search strategies was the main source of their emotions. In the selecting resources stage, users' cognition of the search results was the main source of their emotions. Third, there were significant differences in user satisfaction between the factual search task and topic search task. The users' satisfaction in the factual search task was significantly higher than that in the topic search task. This research is able to provide theoretical support for developing information retrieval systems oriented to users' emotional needs. 2022 Vol. 41 (3): 314-324 [Abstract] ( 300 ) HTML (123 KB)  PDF (1038 KB)  ( 357 )