Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] Summarizing and exploring the path of open government data empowerment and value enhancement can enrich the theoretical basis in this field, and open up channels for the integration and utilization of open government data to value enhancement, and provide reference for the current stage of open government data resource construction and social environment construction. [Methods/ process] Based on the analysis of the data usage and related policy releases of the open government data platform website, this paper explored the basic path of open government data empowerment and value enhancement from the three aspects of data, policy and market drive, and proposed future development strategies. [Results/conclusions] The basic internal and external driving paths of open government data empowerment and value enhancement can be divided into the following three types: data appreciation, policy release, and market promotion. And specific strategies that can be implemented at the emergence stage are proposed, that is, to release the value of open government data, increase the utilization efficiency of open government data, and build a open government data value enhancement strategy system that can be used for three purposes.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] From the perspective of industry chain, this paper takes virtual reality technology as an example, constructs VR patent industry chain corpus, and explores the technical theme, research and development hotspot and future development trend of China VR patent. [Method/process] First of all, this paper used Python to crawl the patent text in VR field and got effective corpus through data cleaning. Secondly, combining IPC classification number and K-means clustering algorithm, this paper constructed and validates VR patent industry chain. In addition, based on TF-IDF algorithm and LDA theme model, we identified the core technology themes and their comprehensive strength, technology research and development hotspots and future trends of China VR patents from the perspective of production chain. [Result/ conclusion] At present, the proportion of patents in each link of China VR industry chain is unbalanced. The upstream link is the most popular, followed by the downstream link, and the weakest link is the midstream link. In terms of theme mining, the upstream hot spot is software development, the midstream hot spot is film and television production, and the downstream hot spot is medical, educational and entertainment applications. In terms of future trends, the upstream of the industrial chain will be dominated by technologies such as electronic digital data processing, optical components, image communication, etc., the midstream will be dominated by technologies such as vehicle components, power devices, damping devices, etc., and the downstream will be dominated by technologies such as indoor games, medical diagnosis, identification, etc.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] iConference is an important international conference in information science. By combing and summarizing the accepted paper in iConference 2019, this paper aims to provide reference for future related search in information science.[Method/process] From the four dimensions of research method, research topic, research process and research finding, this paper summarized reviewed 77 accepted paper on 24 themes in iConference 2019.[Result/conclusion] As the annual conference of iSchool, iConference's topic covers the latest achievements of theoretical research and application in the field of information science. From the accepted paper, we find that the data-driven research paradigm provides an opportunity for the integration and development of information science and other disciplines, and promotes libraries and information disciplines to discover research problems in the new research scenarios; semi-structured interviews, questionnaires, grounded theory, statistical analysis and other qualitative and quantitative methods are the main research methods; research data acquisition is an extremely important research process.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] With the rise of the government open data movement in the global scope, "open government data" has become a multi-disciplinary cross-research hotspot, but there is less literature to discuss the problem of service failure after the opening of government data. This will affect the effectiveness of government open data.[Method/process] This paper focused on the problem of the service failure recovery of government open data, explored the types of the service failure of government open data from the perspective of data quality, constructed a model of recovery timing of the government open data failure based on the user sensitivity and used Lagrange multiplier method to find the optimal solution of the model.[Result/conclusion] The result of model solution and examples analysis indicate that the recovery timing, the user sensitivity to open data and the user sensitivity to failure recovery have important implications for the government's recovery strategy of open data service failure. Government departments should give full attention to the sensitivity of users, choose appropriate recovery time and recovery timely.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The service level evaluation of domestic government open data can provide reference and basis for the objective evaluation and policy-making of government open data, thus improving the efficiency of domestic government open data.[Method/process] From the micro level of data and users perspectives, this paper established the evaluation framework of the service level of government open data. For example, "Cultural Leisure" thematic datasets on data open platform of Wuhan and other 8 platforms, using entropy method to calculate the comprehensive evaluation value of weight and government open data service level.[Result/conclusion] The service level of government open data is highly correlated with the availability of data, and it is hierarchical; the service level of government open data is inconsistent.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In the context of data-driven paradigm, this paper reveals the internal relationship between the open data state of government portal website and the behavior state of its main body, and promotes the effect and process of government data opening.[Method/process] This paper used the crawler method to grab the open data sets in the Shanghai government data portal, and then did correlation analysis and Stepwise regression analysis on the index variables of each data set in turn, and screened out the variables with high correlation degree. At the same time, we further carried out PLS regression test on the variables with significant relationships, and ultimately drew the internal relationship between the state of government open data and the state of its main body's behavior.[Result/conclusion] In the process of government data opening, the subject behavior of government departments has a greater impact on public subject behavior than the object characteristics of data itself. Among the factors affecting the public rating, the sequence from high to low is:government openness and secrecy, machine readability of Data Format, the first opening time of government, the timeliness of government openness. The level of government openness and secrecy has a significant negative impact on the score of government open data; the first opening time of government, the timeliness of government openness, and the machine readability of data format have a significant positive impact on the public score.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] The hierarchical relationship of the factors affecting the initial public acceptance behavior of government open data is clarified, which can improve the public acceptance and use efficiency of government open data. It can also provide theoretical support for the formulation and improvement of the government's open data related strategy.[Method/process] Based on the situational theory, 13 factors affecting the initial public acceptance behavior of government open data were extracted by the expert survey method. Using the model of interpretation structure model, the relationship structure model of the factors affecting the public acceptance of government open data was constructed.[Result/conclusion] The results show that, the relationship structure model of the public acceptance of government open data includes 5 levels, which can be divided into 3 levels:representation layer, intermediate layer and fundamental layer. The representational factors include system resources, task urgency, and platform operations; the intermediate factors include requirements clarity, task topics, information awareness, information knowledge and information capabilities; the fundamental factors include education, age, policies and regulations, social influence and platform design.
Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper aims to explore the interactive impact of information generated by multiple entities on purchasing behaviors of resource demanders on the shared service platform, so as to facilitate the recovery and sustainable development of sharing economy in the post-epidemic era.[Method/process] Based on the signal theory, combining information features generated by multiple-agents, this paper constructed a configuration model of users' purchasing behaviors of information-oriented decision-making sharing service platform. Taking the sharing accommodation platform as an example, this paper used Python to crawl Chengdu's shared housing data on the Airbnb platform, and used the fuzzy set qualitative comparative analysis (fsQCA) to identify the configuration effect of information generated by multiple entities on users' purchasing behaviors.[Result/conclusion] The results show that there are three equivalent paths encouraging users' purchase behavior, and among which there is one necessary condition. There are also three combinations of information characteristics that discourage the purchasing behaviors of sharing platform users, and among which there is one necessary condition. The findings confirmed that the path leading to users' purchasing behaviors and the path of non-purchasing behaviors are not the opposite.
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