Data and information management最新文献

To study the key factors affecting knowledge sharing and knowledge dissemination is helpful to promote knowledge innovation. Based on the probability of acquiring knowledge from the environment, learning willingness, learning ability, and the speed of forgetting knowledge, a knowledge dissemination model SEIRR(Susceptible, Exposed, Infectious, Recovered with the knowledge and Recovered without the knowledge) is proposed. Through the simulation network analysis, the influence of the above four factors on knowledge transmission and sharing is revealed. It is found that improving the probability of acquiring knowledge from the environment, learning willingness, and learning ability can help improve the effect of knowledge dissemination and knowledge sharing. Reducing the speed of forgetting knowledge is also effective. Thus, it is helpful to improve knowledge sharing by establishing open libraries and databases, promoting groups' learning willingness, cultivating groups' learning ability, and strengthening groups' application of knowledge.

Aiming at the current situation of complex financial ownership structure and isolated data organization, this study referring to the methods for multi-layer hierarchical construct domain ontology modeling. At the same time, the three dimensions of industry, company and internal environment were integrated, and the concept cube was designed and constructed based on knowledge extraction and text classification technology, so as to provide a multi-level and fine-grained knowledge representation and association method for financial equity knowledge. The experimental results show that conceptual cube structure represents semantic information as a dense low-dimensional representation vector, which greatly enhances semantic relevance and interpretability. The multi-layer ontology-driven ownership structure reflects a variety of knowledge association patterns, and in the “Intelligent Financial Big Data System” developed by the research team, the association query of three categories of association relationships in the field of industry, enterprise and internal environment is realized, as well as the dynamic analysis and supervision of typical financial management problems.

To better promote information service and fight the infodemic, this paper investigated the difficulties that Chinese college students encountered in information seeking during the COVID-19 pandemic. We collected data in two stages. In the first stage in November 2020, we collected data from the Foundation of Information Science course. 54 college students who took the course completed an assignment to illustrate their information needs and difficulties during the pandemic. In the second stage in March 2021, trough convenience sampling we conducted an online survey by WenJuanXing. The participants were required to answer the same question as the question in the first stage. We collected 204 valid responses. Then, based on the search task difficulty reason scheme proposed by Liu et al. (2015) (denoted LKC15), we used content analysis to code the responses to analyze the difficulties that Chinese students encountered. LKC15's difficulty reasons were classified from three aspects: user, task, and user-task interaction. The findings indicated that 14 of the 21 difficulty reasons in LKC15 were identified in this study. Moreover, we added 17 new Difficulty reasons to revise the scheme. The difficulty reasons of user-task interaction were mentioned most frequently. In terms of user-task interaction, the difficulty reasons related to document features were mentioned most frequently, followed by the search results. Finally, it provided some suggestions and discussed the directions for future study.

This paper argues that there is an emergent digital culture in the art and cultural sector in Hanoi, which is producing a paradigm shift in the nature of work for cultural professionals, the way of preserving and displaying art collections as well as the nature of international connections. The advent of the ‘fourth industrial revolution’ in Vietnam has brought about advances in digitization. While this transition is crucial in achieving national sustainable development goals, Vietnam remains at a disadvantage on a global scale due to country-specific challenges in digitization, including lack of human, technical, and financial resources. These challenges are hindering the pace and quality of the digitization process and impeding cultural professionals' ability to utilize digital platforms. In addition, the global digital divide is having impacts on access, inclusion and representation. This shows that the challenges faced in the digitization process are not only about access to technology but also about much more deep-seated issues related to culture, history, and social inequalities. This issue has become especially pertinent during the Covid-19 pandemic and has highlighted digital inequalities in access and inclusion.

The research draws on 20 semi-structured interviews with cultural professionals across Hanoi. The interviews were carried out during the Covid-19 pandemic and addressed its impact on digitization projects as well as use of digital technologies for work. The findings show how geopolitical and socioeconomic factors can supress the ability to adopt new digital technologies and hinder the ability to exploit the opportunities of digitization. The Covid-19 pandemic has allowed more time to focus on digitization projects and to utilize digital tools and platforms, especially with free open-source platforms such as Facebook. This has become one route towards exploiting the opportunities of digitization for increased exposure, inclusion in the discourse, and creation of digital resources on Vietnamese art and culture.

The COVID-19 global pandemic has changed every facet of our lives overnight and has resulted in many challenges and opportunities. Utilizing the Lens of Vulnerability we investigate how disparities in technology adoption affect activities of daily living. In this paper, we analyze the existing literature and case studies regarding how the lifestyles of socially vulnerable populations have changed during the pandemic in terms of technology adoption. Socially vulnerable populations, such as racial and ethnic minorities, people with disabilities, older adults, children, and the socially isolated, are specifically addressed because they are groups of people who have been significantly and disproportionately affected by the pandemic. This paper emphasizes that despite seeing changes in and research on technology adoption across healthcare, employment, and education, the impact of COVID-19 in government and social services and activities of daily living is underdeveloped. The study concludes by offering practical and academic recommendations and future research directions. Lessons learned from the current pandemic and an understanding of the differential technology adoption for activities of daily living amid a disaster will help emergency managers, academics, and government officals prepare for and respond to future crises.

The fragmentation of fundamental theory has increasingly affected the development of information management (IM) and information system (IS) empirical research, while limited attempts have been made to systematically review the theories which are fundamental to the extant IM and IS literature. Therefore, based on the analysis of the empirical studies in IM and IS field in the past twenty years, we identify seven relatively important but less summarized theories in the IM and IS field: transactive memory system, impression management, flow, structural holes, resource dependence theory, social presence theory, the illusion of control. Hence, we try to offer a systematic review of these theories by synthesizing the extant findings while identified the possible directions for future studies. Our review made several significant contributions to both proposing theoretical and methodological trends in the respective theories.

[Purpose/meaning] As the development of social media and the rise of visual culture, image in the social media has received more and more attention from scholars and sorting out its content is beneficial to clarifying the related research of images in social media and provide a new research perspective. [Method/procedure] This article takes the image literature in social media as the research object, carries on the keyword analysis to the literature and summarizes the typical research methods. Then this paper adopts analytic induction method to summarize the research progress of images in social media in recent ten years from the perspective of “publisher-information-receiver” in information interaction. [Results/conclusions] Through the analysis of research topics, it is found that the feature of images on social media and user's information interaction behavior based on image are the key content that researchers pay attention to. Studies on images in social media can be divided into three parts:the characteristics of images in social media, image publishing behavior in social media, and image perception and acquisition behavior of social media users.[Innovation/value]This paper constructs a systematic cognitive frame for image research in social media, summarizes the existing research results, and predicts the future research from three aspects: the impact of image-based information interaction on users' social relationships in social media environments, the problem of user privacy disclosure in image social communication and the advancement of computer vision technique in image research in social media environment.

Almost every aspect of a person's daily life is impacted by information and communication technologies (ICTs), and some unfavorable outcomes like technostress have been noticed. In this study, we examine how technostress affects knowledge hiding. Drawing from the energy-consuming characteristic of technostress and prior research on how technostress affects ICT users, this article builds and tests a model that takes work exhaustion as a mediator and explored the moderating role of job autonomy. To test our conceptual model, we examined the responses to a survey questionnaire submitted by 287 ICT users from multiple organizations. Using structural equation modeling, we found that technostress increases employees' knowledge hiding behavior, and work exhaustion partially mediates technostress and knowledge hiding, while job autonomy only moderates the relationship between technostress and work exhaustion when the fourth factor of technological stress, techno-insecurity, is excluded. We also discuss future research directions and implications of the results.

The purpose of the study is to present a model plan for developing an effective digital maintenance system with the help of institutional repository software in university library premises. This work is an investigative study of digital maintenance activities for sustainable development of the digital publications and intellectual outputs of universities in Bangladesh. The researchers investigated the university and university website and found that only 11% university libraries were active in preserving their digital resources while 89% of university libraries were either in the dark or less reluctant to adopt the system. Researchers realized that due to lack of proper guidelines and an ideal model plan, most of the university libraries were far behind in adopting a repository system for safeguarding their intellectual outputs. Hence this study describes a model plan for the university libraries of Bangladesh to create a sustainable preservation system easily and effectively. The model plan in this study was based on observation and review of the literature in the concerned field. All university authorities can follow the mentioned model for sustainable maintenance of their intellectual digital assets.