Data Science and Management最新文献

{"title":"Value realization of intelligent emergency management: research framework from technology enabling to value creation","authors":"Yan Guo ,&nbsp;Yan Song ,&nbsp;Mingyue Zhang","doi":"10.1016/j.dsm.2024.06.001","DOIUrl":"10.1016/j.dsm.2024.06.001","url":null,"abstract":"<div><div>This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment. It addresses the neglect of the application value (performance) measurement of intelligent emergency, further improving the effectiveness of intelligent emergency management. First, approximately 3900 documents from the intelligent emergency field are analyzed to determine the future research trend in intelligent emergency management. The socio-technical theory concerning technical and social systems is introduced. The emergency management system concepts of “technology enabling” and “enabling value creation” are defined according to bibliometric analysis and socio-technical theory. Second, a research framework that includes technology enabling and enabling value creation for the decision-making paradigm in emergency management according to the big data environment is constructed. A detailed analysis approach from intelligent emergency technology enabling to enabling value creation in emergency management is proposed. Finally, earthquake disasters are taken as examples, and specific analyses of the intelligent emergency enabling and enabling value creation are explored; enabling value creation is discussed based on measurable indicators. The clear concept of emergency management system technology enabling and enabling value creation, as well as the detailed analysis approach from intelligent emergency technology enabling to enabling value creation, provide a theoretical bases for scholars and practitioners to evaluate the value (performance) of intelligent emergency for the first time.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 11-22"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141409093","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":"Digital volunteer services in emergency situations: Typological characteristics, advantages, and challenges","authors":"Yongzhong Sha ,&nbsp;Xingfei Wei ,&nbsp;Chunhua Niu ,&nbsp;Yongbao Zhang ,&nbsp;Lu He","doi":"10.1016/j.dsm.2024.08.003","DOIUrl":"10.1016/j.dsm.2024.08.003","url":null,"abstract":"<div><div>Volunteer engagement in emergency management, focusing on mitigating adverse consequences, has attracted scholarly and practitioner attention. Digital volunteering helps overcome the limitations of traditional on-site volunteering through extensive volunteering opportunities in emergency management. This study utilizes a case text analysis and interviews to investigate and categorize digital volunteer services in emergency scenarios. Based on two key dimensions—direct recipients of volunteer services and the nature of the services rendered—the study presents four types of digital volunteer services: bridging, supportive, complementary, and collaborative. Moreover, it delineates eight role archetypes digital volunteers assume in emergency response situations along with their primary service contributions. Compared to conventional on-site volunteer services, digital volunteer services offer unique advantages while facing specific challenges. Finally, this study offers recommendations in four dimensions for the robust development of digital volunteer services, contributing to more effective and sustainable emergency management practices.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 1-10"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143165086","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":"Design of knowledge transaction protection mechanism in the open innovation community based on blockchain technology","authors":"Dongshan Yang ,&nbsp;Ling Zhao ,&nbsp;Feng Leng ,&nbsp;Zujun Shi","doi":"10.1016/j.dsm.2024.08.002","DOIUrl":"10.1016/j.dsm.2024.08.002","url":null,"abstract":"<div><div>Open innovation communities (OICs) are important for the development of modern enterprises. However, there are still many safety hazards and trust crises on community platforms. This paper proposes an approach that combines blockchain technology and an OIC, as blockchain technology provides a direction for solving trust and security problems in community platform transactions. Moreover, the design of smart contracts can ensure the implementation of transactions and improve their reliability. In this study, the participants in an OIC and three types of infringement problems were analyzed. The Byzantine Fault Tolerant (BFT) algorithm was applied to design the logic of smart contracts and the coupling between idea platforms and the blockchain. The protection mechanism of an OIC was established based on blockchain smart contract supervision to provide a better knowledge co-creation environment for OICs.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 86-93"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143296563","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":"Effects of feature selection and normalization on network intrusion detection","authors":"Mubarak Albarka Umar ,&nbsp;Zhanfang Chen ,&nbsp;Khaled Shuaib ,&nbsp;Yan Liu","doi":"10.1016/j.dsm.2024.08.001","DOIUrl":"10.1016/j.dsm.2024.08.001","url":null,"abstract":"<div><div>The rapid rise of cyberattacks and the gradual failure of traditional defense systems and approaches led to using artificial intelligence (AI) techniques (such as machine learning (ML) and deep learning (DL)) to build more efficient and reliable intrusion detection systems (IDSs). However, the advent of larger IDS datasets has negatively impacted the performance and computational complexity of AI-based IDSs. Many researchers used data preprocessing techniques such as feature selection and normalization to overcome such issues. While most of these researchers reported the success of these preprocessing techniques on a shallow level, very few studies have been performed on their effects on a wider scale. Furthermore, the performance of an IDS model is subject to not only the utilized preprocessing techniques but also the dataset and the ML/DL algorithm used, which most of the existing studies give little emphasis on. Thus, this study provides an in-depth analysis of feature selection and normalization effects on IDS models built using three IDS datasets: NSL-KDD, UNSW-NB15, and CSE–CIC–IDS2018, and various AI algorithms. A wrapper-based approach, which tends to give superior performance, and min-max normalization methods were used for feature selection and normalization, respectively. Numerous IDS models were implemented using the full and feature-selected copies of the datasets with and without normalization. The models were evaluated using popular evaluation metrics in IDS modeling, intra- and inter-model comparisons were performed between models and with state-of-the-art works. Random forest (RF) models performed better on NSL-KDD and UNSW-NB15 datasets with accuracies of 99.86% and 96.01%, respectively, whereas artificial neural network (ANN) achieved the best accuracy of 95.43% on the CSE–CIC–IDS2018 dataset. The RF models also achieved an excellent performance compared to recent works. The results show that normalization and feature selection positively affect IDS modeling. Furthermore, while feature selection benefits simpler algorithms (such as RF), normalization is more useful for complex algorithms like ANNs and DNNs, and algorithms such as NB are unsuitable for IDS modeling. The study also found that the UNSW-NB15 and CSE–CIC–IDS2018 datasets are more complex and more suitable for building and evaluating modern-day IDS than the NSL-KDD dataset. Our findings suggest that prioritizing robust algorithms like RF, alongside complex models such as ANN and DNN, can significantly enhance IDS performance. These insights provide valuable guidance for managers to develop more effective security measures by focusing on high detection rates and low false alert rates.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 23-39"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163848","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":"Quality of life issues in rural settlements: Assessment by social media users","authors":"","doi":"10.1016/j.dsm.2024.03.005","DOIUrl":"10.1016/j.dsm.2024.03.005","url":null,"abstract":"<div><div>Disparity in the quality of life of people living in rural and urban areas is among the major problems, often leading to greater depression among the rural population compared to those in urban areas who have access to a high standard of living. The goal of this study was to identify the issues of the quality of life that are fundamental from the point of view of rural settlements and typical for the rural population in various regions of the Russian Federation with diverse geographical, socioeconomic, and demographic characteristics. The practical relevance of our study is based on the identification of the scope of typical problems related to the quality of life in rural areas. The fundamental value of this study is the significance of digital tracks, which can serve as a source of information. The data sources included messages and posts discussing various quality of life aspects of the rural population published by VKontakte. For this study, we used messages and posts with negative implications from communities in rural settlements in ten Russian regions. These issues include housing infrastructure and utilities, transportation, the environment, telecommunications, banking, healthcare, and education.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 283-292"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140282987","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":"The dynamics of multidimensional educational poverty","authors":"","doi":"10.1016/j.dsm.2024.03.004","DOIUrl":"10.1016/j.dsm.2024.03.004","url":null,"abstract":"<div><div>Education is a cornerstone in promoting the overall welfare of individuals and plays a pivotal role in shaping their lives. As the developing world grapples with the multifaceted challenges of poverty, there is a growing emphasis on evaluating poverty from a multidimensional perspective. Therefore, this study estimates the educational poverty index (EPI). To construct the EPI, Alkire and Foster’s methodology was used with data from the Pakistan Panel Household Survey. We also estimated the dynamics of educational poverty using logistic regression. The results show that the EPI declined from 0.24 in 2001 to 0.21 in 2010. Similarly, the intensity decreased from 0.42 to 0.30. However, the incidence of educational poverty increased from 0.58 to 0.69. At the provincial level, there was a reduction in educational poverty and intensity across all provinces. However, the rate of decline in the EPI and intensity was comparatively higher in Baluchistan than in other provinces. Most of the population belonged to the transitory poor category (0.47). Other dynamic factors such as the household head’s age, education, family size, disability, and land acres also play vital roles in moving into or out of poverty. Our study reveals numerous dimensions that can increase household educational poverty. The government should be vigilant while preparing the policy and must consider the multiple dimensions of a household to eradicate educational poverty.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 314-322"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140274631","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":"Analysis of digital twin and its physical object: Exploring the efficiency and accuracy of datasets for real-world application","authors":"Henry Chima Ukwuoma ,&nbsp;Gilles Dusserre ,&nbsp;Gouenou Coatrieux ,&nbsp;Johanne Vincent","doi":"10.1016/j.dsm.2024.04.002","DOIUrl":"10.1016/j.dsm.2024.04.002","url":null,"abstract":"<div><div>The concept of digital twin (DT) has recently gained popularity due to its ability to create a virtual representation of systems in order to improve the performance of its cyber-physical counterpart. This study compares and analyses datasets of DTs and their corresponding physical objects to determine the effectiveness and dependability of DT technology for practical applications. The research aims to proffer a framework for ascertaining the level of (dis)similarity between a physical object and its DT equivalent. A study of water distribution (WADI) is put into perspective. Findings revealed that the proffered framework presents a method for ascertaining a (dis)similarity level (considering datasets) of a physical object and its DT using adequate statistical tests.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 361-375"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140794710","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":"Bibliometric analysis of the art market: From art price to market efficiency","authors":"Mingjun Guo ,&nbsp;Xuerong Li ,&nbsp;Yunjie Wei","doi":"10.1016/j.dsm.2024.03.006","DOIUrl":"10.1016/j.dsm.2024.03.006","url":null,"abstract":"<div><div>This study addresses a significant gap in the existing literature by conducting a comprehensive systematic review of the art market over the past 50 years, utilizing big data analysis and bibliometric methods. Through descriptive statistical analysis, we gained insights into research trends, influential literature, authors, academic disciplines, journals, institutions, and countries. By utilizing various bibliometric analyses, including co-citation, co-word, burstiness, time-zone, and co-cited author analyses, we unraveled the inherent logic within the literature. One significant discovery was the consistent annual increase in research interest in the art market. Notably, the focus of art market research has shifted from hedonic art prices to areas such as artist brand management, electronic art platforms, anti-money-laundering supervision, and art market efficiency. Moreover, this study highlights the impact of the COVID-19 pandemic, expediting an electronic revolution in the art market in recent years. Notably, our study is the first to comprehensively employ bibliometric methods to analyze the art market, thereby laying the groundwork for researchers interested in this field.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 349-360"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140780736","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":"Application of user preference mining algorithms based on data mining and social behavior in brand building","authors":"","doi":"10.1016/j.dsm.2024.03.007","DOIUrl":"10.1016/j.dsm.2024.03.007","url":null,"abstract":"<div><div>Small and medium-sized enterprises currently suffer from a lack of branding. Therefore, to further promote their active branding, this study proposes a user preference mining algorithm based on data mining and social behavior. Employing this algorithm to study the degree of users’ brand preference can provide data support for enterprises’ brand building. The experimental results showed that the proposed algorithm outperforms previous algorithms in terms of performance, convergence, and accuracy. The area under the curve reached 0.953, indicating highly authentic output results with extremely high realism. In actual simulation experiments, its prediction results for the user’s brand preference index are accurate, with an error of only 0.11, and the algorithm has extremely high ratings among industry insiders. In conclusion, the user-preference mining algorithm based on data mining and social behaviors suggested in this study plays a better role in promoting an enterprise’s brand building. It can help the enterprise know the level of consumer preference for its brand; accordingly, it can determine the shortcomings in, provide effective and accurate data support for, and thereby promote its brand building.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 323-331"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404802","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":"Comparative analysis of manual and programmed annotations for crowd assessment and classification using artificial intelligence","authors":"","doi":"10.1016/j.dsm.2024.04.001","DOIUrl":"10.1016/j.dsm.2024.04.001","url":null,"abstract":"<div><div>Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods employed for data gathering and analysis can obstruct the replication and utilization of the results, ultimately affecting the study’s transparency and integrity. The task of manually annotating extensive datasets demands considerable labor and financial investment, especially when it entails engaging specialized individuals. In our crowd counting study, we employed the web-based annotation tool SuperAnnotate to streamline the human annotation process for a dataset comprising 3,000 images. By integrating automated annotation tools, we realized substantial time efficiencies, as demonstrated by the remarkable achievement of 858,958 annotations. This underscores the significant contribution of such technologies to the efficiency of the annotation process.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 340-348"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140792001","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}