{"title":"Seven Important Theories in Information Management and Information System Empirical Research: A Systematic Review and Future Directions","authors":"Chuan-Ni Wu, Shijing Huang, Qinjian Yuan","doi":"10.2478/dim-2021-0016","DOIUrl":"https://doi.org/10.2478/dim-2021-0016","url":null,"abstract":"Abstract 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.","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45101722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Effective Digital Safeguarding System in University Libraries: A Model Plan","authors":"Md. Monirul Islam, Md. Nurul Islam, Md Nasir Uddin Munshi, M. Haider","doi":"10.2478/dim-2021-0012","DOIUrl":"https://doi.org/10.2478/dim-2021-0012","url":null,"abstract":"Abstract 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.","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45501614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yongzhen Wang , Xiaozhong Liu , Yingnan Ju , Katy Börner , Jun Lin , Changlong Sun , Luo Si
{"title":"Chinese E-Romance: Analyzing and Visualizing 7.92 Million Alibaba Valentine's Day Purchases","authors":"Yongzhen Wang , Xiaozhong Liu , Yingnan Ju , Katy Börner , Jun Lin , Changlong Sun , Luo Si","doi":"10.2478/dim-2021-0006","DOIUrl":"10.2478/dim-2021-0006","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 4","pages":"Pages 363-371"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000080/pdfft?md5=716d087c4d8623f8b81fee31c46bf9d0&pid=1-s2.0-S2543925122000080-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43579713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Empirical Study on Knowledge Aggregation in Academic Virtual Community Based on Deep Learning","authors":"Liangfeng Qian , Shengli Deng","doi":"10.2478/dim-2021-0010","DOIUrl":"10.2478/dim-2021-0010","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 4","pages":"Pages 372-388"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000092/pdfft?md5=ba22355ecf2fd5d4f73c6e54eeffe9fe&pid=1-s2.0-S2543925122000092-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43768582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Should One Explore the Digital Library of the Future?#","authors":"Edward A. Fox , Prashant Chandrasekar","doi":"10.2478/dim-2021-0003","DOIUrl":"https://doi.org/10.2478/dim-2021-0003","url":null,"abstract":"<div><p>This article partially addresses a challenge from Licklider in his 1965 book on “<em>Libraries of the Future</em>,” focusing on how to build extensible digital libraries that can dramatically expand the support of exploration. A new methodology connects the efforts of User eXperience researchers with those of subject matter experts (domain scientists, curators, researchers, and so on) and developers. This allows constructing a knowledge graph representing the relationships among goals, tasks, workflows, and services. A reasoner empowers authorized users to have their goals met with suitable workflows that are dynamically generated and executed. Student teams have applied the new methodology to support users interested in tweets, web pages, or electronic theses and dissertations, as well as those curating and experimenting with those collections. Exploration is thus broadened across content types and their elements, with an extensible set of services, to address an arbitrary set of stakeholder goals.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 4","pages":"Pages 349-362"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000079/pdfft?md5=1036e870d69995d4e00a8a90fecdd30f&pid=1-s2.0-S2543925122000079-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137370190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Johnson Masinde , Jing Chen , Daniel Wambiri , Angela Mumo
{"title":"Research Librarians' Experiences of Research Data Management Activities at an Academic Library in a Developing Country","authors":"Johnson Masinde , Jing Chen , Daniel Wambiri , Angela Mumo","doi":"10.2478/dim-2021-0002","DOIUrl":"10.2478/dim-2021-0002","url":null,"abstract":"<div><p>University libraries have archaeologically augmented scientific research by collecting, organizing, maintaining, and availing research materials for access. Researchers reckon that with the expertise acquired from conventional cataloging, classification, and indexing coupled with that attained in the development, along with the maintenance of institutional repositories, it is only rational that libraries take a dominant and central role in research data management and further their capacity as curators. Accordingly, University libraries are expected to assemble capabilities, to manage and provide research data for sharing and reusing efficiently. This study examined research librarians' experiences of RDM activities at the UON Library to recommend measures to enhance managing, sharing and reusing research data. The study was informed by the DCC Curation lifecycle model and the Community Capability Model Framework (CCMF) that enabled the Investigator to purposively capture qualitative data from a sample of 5 research librarians at the UON Library. The data was analysed thematically to generate themes that enabled the Investigator to address the research problem. Though the UON Library had policies on research data, quality assurance and intellectual property, study findings evidenced no explicit policies to guide each stage of data curation and capabilities. There were also inadequacies in skills and training capability, technological infrastructure and collaborative partnerships. Overall, RDM faced challenges in all the examined capabilities. These challenges limited the managing, sharing, and reusing of research data. The study recommends developing an RDM unit within the UON Library to oversee the implementation of RDM activities by assembling all the needed capabilities (policy guidelines, skills and training, technological infrastructure and collaborative partnerships) to support data curation activities and enable efficient managing, sharing and reusing research data.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 4","pages":"Pages 412-424"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000110/pdfft?md5=8c6a5129bde5b2b8eba45ac716ddeec6&pid=1-s2.0-S2543925122000110-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45662567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interactive Evolution of Multidimensional Information in Social Media for Public Emergency: A Perspective from Optics Scattering","authors":"Xiaoyue Ma , Xiao Meng , Hao Ma","doi":"10.2478/dim-2021-0008","DOIUrl":"10.2478/dim-2021-0008","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 4","pages":"Pages 389-411"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000109/pdfft?md5=5499abbac83d4e8133668dad9a77ceb7&pid=1-s2.0-S2543925122000109-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46347705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Omar Marzouk, Joni O. Salminen, Pengyi Zhang, B. Jansen
{"title":"Which Message? Which Channel? Which Customer? - Exploring Response Rates in Multi-Channel Marketing Using Short-Form Advertising","authors":"Omar Marzouk, Joni O. Salminen, Pengyi Zhang, B. Jansen","doi":"10.2478/dim-2021-0011","DOIUrl":"https://doi.org/10.2478/dim-2021-0011","url":null,"abstract":"Abstract 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.","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45058909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fang Tan , Tongyang Zhang , Siting Yang , Xiaoyan Wu , Jian Xu
{"title":"Discovering Booming Bio-entities and Their Relationship with Funds","authors":"Fang Tan , Tongyang Zhang , Siting Yang , Xiaoyan Wu , Jian Xu","doi":"10.2478/dim-2021-0007","DOIUrl":"10.2478/dim-2021-0007","url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 3","pages":"Pages 312-328"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S254392512200002X/pdfft?md5=35aa412bbf46c3c0636990378d0b8ebf&pid=1-s2.0-S254392512200002X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49143950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Knowledge Entity Extraction and Text Mining in the Era of Big Data","authors":"Chengzhi Zhang , Philipp Mayr , Wei Lu , Yi Zhang","doi":"10.2478/dim-2021-0009","DOIUrl":"10.2478/dim-2021-0009","url":null,"abstract":"","PeriodicalId":72769,"journal":{"name":"Data and information management","volume":"5 3","pages":"Pages 309-311"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2543925122000018/pdfft?md5=93256bdc8b58ce0e3460e63245bb3707&pid=1-s2.0-S2543925122000018-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44547642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}