Subjects: Library Science，Information Science >> Library Science submitted time 2024-05-15 Cooperative journals: 《农业图书情报学报》
Abstract： The scientific connotation, strategic considerations and practical ways of new quality productive forces have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China’s national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China’s modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China’s asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today’s public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of doing something under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-05-08 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Digital live streaming is an important way for enterprises to cany out online activities.Incorporatingclear set qualitative comparative analysis into the research on improving the effectiveness of enterprise digital lve streanming activities is aninnovation in the application of configuration analysis methods and a new breakthrough in the field of improving activityeffectiveness. By identifying elements or combinations of elements that can create greater value for enterprise digital live streamingactivities, and adopting various ways to enhance these element combinations, the goal of improving the effectiveness of enterprise digitallive streaming activities can be achieved, which has innovative guiding significance for enterprise development.MethodProcess]Basedon the consideration of sample homogeneity, the background data of the digital live streaming activity of Guangxi Zhongyan IndustryCo., Ltd. was used as the data souce.Four influencing factors related to the dgital live streaming activity were selected as conditiona1variables using literature induction and problem oriented methods, and some conditional variables were assigned values using lineardiscriminant dimensionaity reduction. At the same time , the activity effect was used as the outcome variable, configuration analysis wasconducted on digital live streaming activities in the tobacco inustry through clear set qualitative comparative analysis, and combinedwith SOR model and the 4I theory, a configuration path for improving the effectiveness was generated.[ConchusicnsResufts] Researchhas found that a single factor does not constitute a necessary condition for improving the effectiveness of digital live streaming activities.There are two configuration paths: game assisted and topic supported, which can improve the effectiveness of digital live streamingactivities.The mechanism of action can be summarized as follows: rich topic types are conducive to meeting users' curiosity psychology,topic popularity and game quantity can ensure users' participation in live streaming, and user interaction work is the basic guaranee forimproving user retention.Meanwhile, these two paths can be applied to different foms of digital live streaming , and enterprises shouldchoose according to their own needs and refne the paths in practice. In addition, athough this article explores the key paths to improvethe effectiveness of digital live streaming activities, due to limitations in research samples and industry fields, it has not fully revealed thevarious factors that affct the efectiveness of digital live streaming. and there is a certain degree of subjectivity in the criteria forassigning variables. Therefore, further revisions and improvements are needed in future research.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-05-08 Cooperative journals: 《农业图书情报学报》
Abstract： [Pupose/Significance] Digital communities have become a way for enterprises to manage users efficiently. The exitingresearch on digital community rarely considers the importance of user behavior information and user's customer life cycle value to themining of user preferences in digital community. This research aims to give full play to the digital communityts characteristics such asintuitive, convenient, interestng. and interactive properties so that the research resuts can benefit every user in their use of the digita1community and every enterprise in their user management.[MethodProcess] Aiming at the user groups in digital conmunity, this paperproposes a preference nining model ClV-Prefcrence mining (CLV-PM) based on Customer Lifetime Vatue (CLV). First, in order to reflect the real preferences of users, the three indicators of the RFM model are used to quantify user behavior information, and the groupcharacteristics of users are mined through K-mean t+t algonithm to generate user vahue category labels. Second, in order to consider thetimeliness and difference of users and enhance the model's cognition of preferences, this paper uses the entropy weight method to sotvethe indicator weights of each activity, obtains user CLV to constuct user-project scoring matrix, and uses the collaborative filteringalzorithm to predict user preferences.Finally, based on the user value category, user historical preference and user forecast preference,the user preference profile of target users in dgital community is generated, and feasible suggestions are put forward for the cperationand maintenance of target users according to the user prefcrence profile.[ResutsiConchusions] The user dataset of the "Wechatcommunity" management platfom can be divided into four user vahue categories: important vatue users, ow valbue users, rehuned usersand important retention users. Target users 16254 are important value users, and the operation strategy of "retention and maintenance" isadopted. The historical preferences are happy hop, sec-kill and other activities; the prediction preference is flying chess battle, guessingcode map and other activities; the target user preference sketch provides the basis for the operation and maintenance of users in thedgital community. In terms of data source, the CLV-PM model proposed in this paper drectly reflects user preferences based on userbehavior information and reduces the problem of score distotion.To provide a new perspective for the research of user behavior indigital community, the construction of user-project scoring matix based on userCLV fully considers the user value of digital communityand provides a new direction for the extension and application of CLV.However, due to limited research space, this paper did notconduct model evaluation research on the proposed model which can be further discussed in subsequent studies.
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-05-08 Cooperative journals: 《农业图书情报学报》
Abstract： [Pupose/Significance]Consumption is an important aspect of stimulating domestic demand.In the curent development stage,the spatial and geograptical distribution characteristics of our country indicate that domestic demand has great potential However, theevaluation of consumption potential in the digital economy is a complex systematic project.Curent research does not filly consider thecorrelation between evaluation indicators, and there are some problems such as low efficiency and too much reliance on the subjectiveexperience of experts, which affect the scientific and reasonable evaluation resuts of consumption potential.[MethodProcess] First ofall, starting from each major work link that affects the consumption potential under the background of the digital economy, thepreliminary evaluation index was detemined through expert consutation and literature research and screening, and the primaryevatuation index set of consumption potential under the background of the digital economy wasconstructed. Based on the consumptionpotential assessment data of Guangxi Zhongyan Industry Co, Ltd.frcm January to December 2021, the correlation and associaticn rulesamong the assessment indicators were analyzed by using Apriori association rule mining algorithm, to streamline the assessmentindicators and build an assessment index system of consumption potential in the context of the digital econcmy. The index systemincludes 11 secondary indicators and 19 tertiary indicators, such as user value, marketing communication effect, marketing ability, userparticipation,user influence, and channel effectiveness.Combining the infuence relationship and influence degree between thequantitative evaluaticn indexes ofDEMATEL and ANP, the weights of the evaluation indexes were calculated by the subjective andobjective combination weighting method, to construct a muti-modal evaluation model of constumption potential in the digital economy.[Resut/Conclusions]Taking six real dragon cigarette product marketing activies of Guangxi China Tobacco lndustry Co., Ld. fromMarch to September 2021 as examples, the comprehensive scores of marketing activities in March, April, May, and June are 0.53,0.52,0.51 and 0.48, respectively, and the overall assessment result of consumption potential is "medium" level, among which the effect ofmarketing activities in August and September is better than that in March and June, and the comprehensive scores are 0.57 and 0.63,which are "medium to upper" leve. On the whole, the impact of market influence ability, user value and marketing communicationeffect on the release of consumption potential decreases in tum The analysis results are in good agreement with the actual situation,which venifies the feasibility and applicability of the nuti-modal assessment model of consumption potential In addition, due to thelimited space, this paper only takes the tobacco industry as an example. In our future work, the specific index system can be adjustedaccording to the actual application needs.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Data governance helps promote accurate management, individualized service, and scientific decision in public culture. Constructing a framework of public cultural data governance system and corresponding guarantee measures contributes to the goal of digital and intelligent developments of public culture. [Method/Process] This paper systematically elaborates the connotation and function of public cultural data governance, builds a framework for public cultural data governance system based on the activity theory, and proposes guarantee measures for specific elements. [Results/Conclusions] The public cultural data governance system consists of the elements of governance target, governance subject, governance object, and governance methods (tools, rules, and division). Guarantee measures include the following aspects: setting data governance goals and implementing goals in several phases and progressively, constructing collaboratively by multiple subjects and improving governance capacity, promoting governance with benefits and focusing on limited data and affairs, and improving system construction and organizational management models.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Knowledge hiding behaviors in virtual communities seriously hinder knowledge communication and dissemination. This paper aims to explore the influencing factors of users' knowledge hiding behaviors in virtual question-and-answer communities and put forward suggestions for improving the degree of knowledge communication in virtual communities.[Method/Process] Based on existing theories, this paper analyzes 7 factors affecting knowledge hiding behavior from three aspects of personal characteristics, situational atmosphere and knowledge characteristics, so as to build a second-order reflective research model and take involvement as a moderator variable. We conducted an empirical analysis through a questionnaire survey and using the structural equation modeling (SEM) . [Results/Conclusions] It is found that personal characteristics (self-inefficacy and knowledge-based psychological ownership) and knowledge characteristics (tacit knowledge and knowledge complexity) have significant positive effects on knowledge hiding behavior. In detail, self-inefficacy is the most influential one. Situational atmosphere has no significant influence on knowledge hiding behavior. In addition, involvement has no significant moderating effect on personal characteristics, situational atmosphere and knowledge characteristics.
Hits
Hits
Downloads
Comment