The Geopolitical and Socioeconomic Factors of Digitization in Vietnam: Technology Adoption in the Art and Cultural Sector During the Covid-19 Pandemic

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 that include lack of human, technical, and financial resources. These challenges are hindering the pace and quality of the digitization process and impeding the ability of cultural professionals 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 is especially pertinent during the Covid-19 pandemic, which has highlighted 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 and the use of digital technologies for work. The findings show how geopolitical and socioeconomic factors can suppress the ability to adopt new digital technologies, which is hindering the ability to exploit the opportunities of digitization. Yet, 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 software or platforms such as Facebook. This has become one route toward exploiting the opportunities of digitization for increased exposure, creation of digital resources, and rebalancing the discourse and amount of content circulating online regarding Vietnamese art and culture.

Assessing the Relationship Between Technostress and Knowledge Hiding—A Moderated Mediation Model

Almost every aspect of a person's daily life is affected by information and communication technologies (ICTs), and some unfavorable outcomes such as 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 explores 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 technostress, viz., techno-insecurity, is excluded. We also discuss future research directions and implications of the results.

Seven Important Theories in Information Management and Information System Empirical Research: A Systematic Review and Future Directions

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 the IM and IS field in the past 20 years, we identify seven relatively important but less summarized theories in the IM and IS field: transactive memory system (TMS), impression management, flow, structural holes, resource dependence theory (RDT), social presence theory (SPT), and the illusion of control (IC). Hence, we try to offer a systematic review of these theories by synthesizing the extant findings while identifying the possible directions for future studies. Our review made several significant contributions to both proposing theoretical and methodological trends in the respective theories.

An Effective Digital Safeguarding System in University Libraries: A Model Plan

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.

An Empirical Study on Knowledge Aggregation in Academic Virtual Community Based on Deep Learning

Academic virtual community provides an environment for users to exchange knowledge, so it gathers a large amount of knowledge resources and presents a trend of rapid and disorderly growth. We learn how to organize the scattered and disordered knowledge of network community effectively and provide personalized service for users. We focus on analyzing the knowledge association among titles in an all-round way based on deep learning, so as to realize effective knowledge aggregation in academic virtual community. We take ResearchGate (RG) “online community” resources as an example and use Word2Vec model to realize deep knowledge aggregation. Then, principal component analysis (PCA) is used to verify its scientificity, and Wide & Deep learning model is used to verify its running effect. The empirical results show that the knowledge aggregation system of “online community” works well and has scientific rationality.

Which Message? Which Channel? Which Customer? - Exploring Response Rates in Multi-Channel Marketing Using Short-Form Advertising

Formulating short-form advertising messages with little ad content that work and choosing high-performing channels to disseminate them are persistent challenges in multichannel marketing. Drawing on the persuasive systems design (PSD) model, we experimented with 33,848 actual customers of an international telecom company. In a real-life setting, we compared the effectiveness of three persuasion strategies (rational, emotional, and social) tested in three marketing channels (short message service (SMS), social media advertising, and mobile application), evaluating their effect on influencing customers to purchase international mobile phone credits. Results suggest that companies should send rational messages when using short-form advertising messages regardless of the channel to achieve higher response rates. Findings further show that certain customer characteristics are predictive of positive responses and differ by channel but not by message type. Findings from crowdsourced evaluations also indicate that people noticeably disagree on what persuasive strategy was applied to these short messages, indicating that consumers are not well-equipped to identify persuasive strategies or that what advertisers see as a “pure” strategy actually involves elements from multiple strategies as interpreted by consumers. The results have implications for the theoretical understanding of persuasive short-form commercial messaging in multichannel marketing and practical insights for advertising within a limited amount of space and attention afforded by many digital channels.

Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine’s Day Purchases

The days that precede Valentine’s Day are characterized by extensive gift shopping activities all across the globe. In China, where much shopping takes place online, there has been an explosive growth in e-commerce sales during Valentine’s Day over the recent years. This exploratory study investigates the extent to which each product category and each shopper group can exhibit romantic love within China’s e-market throughout the 2 weeks leading up to 2019 Valentine’s Day. Massive data from Alibaba, the biggest e-commerce retailer worldwide, are utilized to formulate an innovative romance index (RI) to quantitatively measure e-romantic values for products and shoppers. On this basis, millions of shoppers, along with their millions of products purchased around Valentine’s Day, are analyzed as a case study to demonstrate their love consumption and romantic gift-giving. The results of the analysis are then illustrated to help understand Chinese e-romance based on the perspectives of different product categories and shopper groups. This empirical information visualization also contributes to improving the segmentation, targeting, and positioning of China’s e-market for Valentine’s Day.

Interactive Evolution of Multidimensional Information in Social Media for Public Emergency: A Perspective from Optics Scattering

Most of the current research on the information analysis of social media (SM) for public emergency focused on a single dimension such as emotion while neglecting the interaction between multidimensional information. Therefore, in this study, an information dispersing–superimposing model is proposed to explain the implicit regularity of the impact within a symbol, sentiment, and context information and their dependent evolution on the SM. Information hue, saturation, and flux (HSF) are defined to measure the interaction process. An online event was selected to verify the concept and hypothesis of this study. The results proved that the interaction among multidimensional information did exist on the SM for a public emergency. The turning points of information dispersing–superimposing often emerged when the number of online users involved had significant changes, and sentiment and context information were showed to have a strong interaction relationship and tended to be spread at the same time. It was also manifested that the dominant information component was varied at each stage of the emergency. This paper is one of the first to study the interaction of multidimensional information on the SM derived from optics scattering. The findings of the study will try to provide a theoretical explanation for why certain information components may be enhanced during the online dissemination and suggest practical support for the information predictions and interface design for SM.

Discovering Booming Bio-entities and Their Relationship with Funds

With the increasing pressure on the National Institutes of Health (NIH) budget nowadays, it is such a major challenge to cut waste and improve efficiency in the research funding allocation. To meet this challenge, this paper explores research hotspots and disciplinary trends of the biomedical area, and discusses the relationship between these factors and the government funding, thereby uncovering biomedical hotspots of interest to academia and the evolution law of the U.S. federal government funding through an entitymetrics analysis. Considering that the rapid proliferation of biomedical literature provides large amounts of information resources for knowledge discovery, entities extracted from articles in PubMed and NIH-funded projects during 1988–2017 are taken as experimental data. They are divided into four categories: species, diseases, genes, and drugs. Subsequently, a comparative analysis of entity trajectories in the four domains is performed, which includes occurrence frequency calculations of disease entities to explore frequency variation trends in high-frequency entities and the situation of the distribution of research funds. Finally, we conduct an evolutionary analysis of two sides, respectively: the relationship between research popularity and the amount of funding; the relationship between research popularity and the number of funded projects. The results suggest that research on gene and disease entities is at the stage of rapid development. Diseases with high prevalence rate and mortality and diseases associated with genetic factors will be the emphasis of research trends in the future. The distribution of NIH grant appears obvious long tail effect and can influence overall trends in the heat of research topics.. We also find that there is a strong linear correlation between the research popularity of bio-entities, and the amount and number of funding grants, respectively. However, the impact of the amount and number of grant funds on the entity research popularity is decreasing. The above results indicate the extensive applicability of entitymetrics in funding research.