Informatics最新文献_第10页

Analysis of Soft Skills and Job Level with Data Science: A Case for Graduates of a Private University 数据科学对软技能和工作水平的影响分析:以某私立大学毕业生为例

IF 3.1

Informatics Pub Date : 2023-02-13 DOI: 10.3390/informatics10010023

Sofía Ramos-Pulido, N. Hernández-Gress, Gabriela Torres Delgado

{"title":"Analysis of Soft Skills and Job Level with Data Science: A Case for Graduates of a Private University","authors":"Sofía Ramos-Pulido, N. Hernández-Gress, Gabriela Torres Delgado","doi":"10.3390/informatics10010023","DOIUrl":"https://doi.org/10.3390/informatics10010023","url":null,"abstract":"This study shows the significant features predicting graduates’ job levels, particularly high-level positions. Moreover, it shows that data science methodologies can accurately predict graduate outcomes. The dataset used to analyze graduate outcomes was derived from a private educational institution survey. The original dataset contains information on 17,898 graduates and approximately 148 features. Three machine learning algorithms, namely, decision trees, random forest, and gradient boosting, were used for data analysis. These three machine learning models were compared with ordinal regression. The results indicate that gradient boosting is the best predictive model, which is 6% higher than the ordinal regression accuracy. The SHapley Additive exPlanations (SHAP), a novel methodology to extract the significant features of different machine learning algorithms, was then used to extract the most important features of the gradient boosting model. Current salary is the most important feature in predicting job levels. Interestingly, graduates who realized the importance of communication skills and teamwork to be good leaders also had higher job positions. Finally, general relevant features to predict job levels include the number of people directly in charge, company size, seniority, and satisfaction with income.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"23"},"PeriodicalIF":3.1,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45966164","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}

引用次数: 0

Quality of E-Tax System and Tax Compliance Intention: The Mediating Role of User Satisfaction 电子税务系统质量与纳税意愿：用户满意度的中介作用

IF 3.1

Informatics Pub Date : 2023-02-08 DOI: 10.3390/informatics10010022

Prianto Budi Saptono, S. Hodžić, Ismail Khozen, Gustofan Mahmud, I. Pratiwi, Dwi Purwanto, Muhamad Akbar Aditama, Nisa’ul Haq, S. Khodijah

{"title":"Quality of E-Tax System and Tax Compliance Intention: The Mediating Role of User Satisfaction","authors":"Prianto Budi Saptono, S. Hodžić, Ismail Khozen, Gustofan Mahmud, I. Pratiwi, Dwi Purwanto, Muhamad Akbar Aditama, Nisa’ul Haq, S. Khodijah","doi":"10.3390/informatics10010022","DOIUrl":"https://doi.org/10.3390/informatics10010022","url":null,"abstract":"The effectiveness of the e-tax system in encouraging tax compliance has been largely unexplored. Thus, the current study aims to examine the interrelationship between technological predictors in explaining tax compliance intention among certified tax professionals. Based on the literature on information system success and tax compliance intention, this paper proposed an expanded conceptual framework that incorporates convenience and perception of reduced compliance costs as predictors and satisfaction as a mediator. The data were collected from 650 tax professionals who used e-Filing and 492 who used e-Form through an online survey and analyzed using hierarchical multiple regression. The empirical results suggest that participants’ perceived service quality of e-Filing services and perceptions of reduced compliance costs positively influence users’ willingness to comply with tax regulations. The latter predictor is also, and only, significant among e-Form users. The empirical results also provide statistical evidence for the mediating role of satisfaction in the relationship between all predictors and tax compliance intention. This study encourages tax policymakers and e-tax filing providers to improve their services to increase user satisfaction and tax compliance.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"22"},"PeriodicalIF":3.1,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41597509","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}

引用次数: 3

An IoT-Fog-Cloud Integrated Framework for Real-Time Remote Cardiovascular Disease Diagnosis 用于心血管疾病实时远程诊断的物联网-雾-云集成框架

IF 3.1

Informatics Pub Date : 2023-02-06 DOI: 10.3390/informatics10010021

Abhilash Pati, Manoranjan Parhi, Mohammad M. Alnabhan, B. K. Pattanayak, A. Habboush, Mohammad K. Al Nawayseh

{"title":"An IoT-Fog-Cloud Integrated Framework for Real-Time Remote Cardiovascular Disease Diagnosis","authors":"Abhilash Pati, Manoranjan Parhi, Mohammad M. Alnabhan, B. K. Pattanayak, A. Habboush, Mohammad K. Al Nawayseh","doi":"10.3390/informatics10010021","DOIUrl":"https://doi.org/10.3390/informatics10010021","url":null,"abstract":"Recently, it has proven difficult to make an immediate remote diagnosis of any coronary illness, including heart disease, diabetes, etc. The drawbacks of cloud computing infrastructures, such as excessive latency, bandwidth, energy consumption, security, and privacy concerns, have lately been addressed by Fog computing with IoT applications. In this study, an IoT-Fog-Cloud integrated system, called a Fog-empowered framework for real-time analysis in heart patients using ENsemble Deep learning (FRIEND), has been introduced that can instantaneously facilitate remote diagnosis of heart patients. The proposed system was trained on the combined dataset of Long-Beach, Cleveland, Switzerland, and Hungarian heart disease datasets. We first tested the model with eight basic ML approaches, including the decision tree, logistic regression, random forest, naive Bayes, k-nearest neighbors, support vector machine, AdaBoost, and XGBoost approaches, and then applied ensemble methods including bagging classifiers, weighted averaging, and soft and hard voting to achieve enhanced outcomes and a deep neural network, a deep learning approach, with the ensemble methods. These models were validated using 16 performance and 9 network parameters to justify this work. The accuracy, PPV, TPR, TNR, and F1 scores of the experiments reached 94.27%, 97.59%, 96.09%, 75.44%, and 96.83%, respectively, which were comparatively higher when the deep neural network was assembled with bagging and hard-voting classifiers. The user-friendliness and the inclusion of Fog computing principles, instantaneous remote cardiac patient diagnosis, low latency, and low energy consumption, etc., are advantages confirmed according to the achieved experimental results.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"21"},"PeriodicalIF":3.1,"publicationDate":"2023-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41606791","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}

引用次数: 6

Impact of Applying Information and Communication Technology Tools in Physical Education Classes 信息通信技术工具在体育教学中的应用影响

IF 3.1

Informatics Pub Date : 2023-02-04 DOI: 10.3390/informatics10010020

A. Varga, László Révész

引用次数: 2

Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm 利用混合免疫算法发现生物网络中实体的相似性

IF 3.1

Informatics Pub Date : 2023-01-31 DOI: 10.3390/informatics10010018

Rocco A. Scollo, A. Spampinato, Georgia Fargetta, V. Cutello, M. Pavone

{"title":"Discovering Entities Similarities in Biological Networks Using a Hybrid Immune Algorithm","authors":"Rocco A. Scollo, A. Spampinato, Georgia Fargetta, V. Cutello, M. Pavone","doi":"10.3390/informatics10010018","DOIUrl":"https://doi.org/10.3390/informatics10010018","url":null,"abstract":"Disease phenotypes are generally caused by the failure of gene modules which often have similar biological roles. Through the study of biological networks, it is possible to identify the intrinsic structure of molecular interactions in order to identify the so-called “disease modules”. Community detection is an interesting and valuable approach to discovering the structure of the community in a complex network, revealing the internal organization of the nodes, and has become a leading research topic in the analysis of complex networks. This work investigates the link between biological modules and network communities in test-case biological networks that are commonly used as a reference point and which include Protein–Protein Interaction Networks, Metabolic Networks and Transcriptional Regulation Networks. In order to identify small and structurally well-defined communities in the biological context, a hybrid immune metaheuristic algorithm Hybrid-IA is proposed and compared with several metaheuristics, hyper-heuristics, and the well-known greedy algorithm Louvain, with respect to modularity maximization. Considering the limitation of modularity optimization, which can fail to identify smaller communities, the reliability of Hybrid-IA was also analyzed with respect to three well-known sensitivity analysis measures (NMI, ARI and NVI) that assess how similar the detected communities are to real ones. By inspecting all outcomes and the performed comparisons, we will see that on one hand Hybrid-IA finds slightly lower modularity values than Louvain, but outperforms all other metaheuristics, while on the other hand, it can detect communities more similar to the real ones when compared to those detected by Louvain.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"18"},"PeriodicalIF":3.1,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49481589","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}

引用次数: 0

The Nexus between Business Analytics Capabilities and Knowledge Orientation in Driving Business Model Innovation: The Moderating Role of Industry Type 商业分析能力和知识导向在推动商业模式创新中的联系：行业类型的调节作用

IF 3.1

Informatics Pub Date : 2023-01-31 DOI: 10.3390/informatics10010019

M. Daradkeh

{"title":"The Nexus between Business Analytics Capabilities and Knowledge Orientation in Driving Business Model Innovation: The Moderating Role of Industry Type","authors":"M. Daradkeh","doi":"10.3390/informatics10010019","DOIUrl":"https://doi.org/10.3390/informatics10010019","url":null,"abstract":"The importance of business analytics (BA) in driving knowledge generation and business innovation has been widely discussed in both the academic and business communities. However, empirical research on the relationship between knowledge orientation and business analytics capabilities in driving business model innovation remains scarce. Drawing on the knowledge-based view and dynamic capabilities theory, this study develops a model to investigate the interplay between knowledge orientation and BA capabilities in driving business model innovation. It also explores the moderating role of industry type on this relationship. To test the model, data were collected from a cross-sectional sample of 207 firms (high-tech and non-high-tech industries). Descriptive and structural equation modeling (SEM) were used to test the hypotheses. The findings showed that knowledge orientation and BA capabilities are significantly and positively related to business model innovation. Knowledge commitment, shared vision, and open-mindedness are significantly and positively related to BA perception and recognition capabilities and BA integration capabilities. BA capabilities mediated the relationship between knowledge orientation and business model innovation. The path mechanism of knowledge orientation → BA capabilities → business model innovation shows that industry type has a moderating effect on knowledge orientation and BA capabilities, as well as BA capabilities and business model innovation. This study provides empirically proven insights and practical guidance on the dynamics and mechanisms of BA and organizational knowledge capabilities and their impact on business model innovation.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"19"},"PeriodicalIF":3.1,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43736305","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}

引用次数: 5

The Prediction of Road-Accident Risk through Data Mining: A Case Study from Setubal, Portugal 基于数据挖掘的道路事故风险预测——以葡萄牙塞图巴尔为例

IF 3.1

Informatics Pub Date : 2023-01-30 DOI: 10.3390/informatics10010017

David Dias, José Silvestre Silva, Alexandre Bernardino

引用次数: 3

Towards Moving Objects Behavior Analysis: Region Speed Limit Rate Measure 面向运动对象的行为分析:区域限速率测度

IF 3.1

Informatics Pub Date : 2023-01-29 DOI: 10.3390/informatics10010015

Francisco Javier Moreno Arboleda, G. Garani, Simon Zea Gallego

引用次数: 0

Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) 远程医疗在糖尿病管理中的有效性：城市医疗服务不足人口区（UMUPA）的回顾性研究

IF 3.1

Informatics Pub Date : 2023-01-29 DOI: 10.3390/informatics10010016

Lisa Ariellah Ward, G. Shah, Jeffery A. Jones, L. Kimsey, Hani M. Samawi

{"title":"Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA)","authors":"Lisa Ariellah Ward, G. Shah, Jeffery A. Jones, L. Kimsey, Hani M. Samawi","doi":"10.3390/informatics10010016","DOIUrl":"https://doi.org/10.3390/informatics10010016","url":null,"abstract":"This paper examines the efficacy of telemedicine (TM) technology compared to traditional face-to-face (F2F) visits as an alternative healthcare delivery service for managing diabetes in populations residing in urban medically underserved areas (UMUPAs). Retrospective electronic patient health records (ePHR) with type 2 diabetes mellitus (T2DM) were examined from 1 January 2019 to 30 June 2021. Multiple linear regression models indicated that T2DM patients with uncontrolled diabetes utilizing TM were similar to traditional visits in lowering hemoglobin (HbA1c) levels. The healthcare service type significantly predicted HbA1c % values, as the regression coefficient for TM (vs. F2F) showed a significant negative association (B = −0.339, p < 0.001), suggesting that patients using TM were likely to have 0.34 lower HbA1c % values on average when compared with F2F visits. The regression coefficient for female (vs. male) gender showed a positive association (B = 0.190, p < 0.034), with HbA1c % levels showing that female patients had 0.19 higher HbA1c levels than males. Age (B = −0.026, p < 0.001) was a significant predictor of HbA1c % levels, with 0.026 lower HbA1c % levels for each year’s increase in age. Black adults (B = 0.888, p < 0.001), on average, were more likely to have 0.888 higher HbA1c % levels when compared with White adults.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"16"},"PeriodicalIF":3.1,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42213834","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}

引用次数: 0

Barriers to the Adoption of Digital Twin in the Construction Industry: A Literature Review 建筑行业采用数字孪生的障碍:文献综述

IF 3.1

Informatics Pub Date : 2023-01-28 DOI: 10.3390/informatics10010014

D. Opoku, S. Perera, R. Osei-Kyei, M. Rashidi, K. Bamdad, Tosin Famakinwa

{"title":"Barriers to the Adoption of Digital Twin in the Construction Industry: A Literature Review","authors":"D. Opoku, S. Perera, R. Osei-Kyei, M. Rashidi, K. Bamdad, Tosin Famakinwa","doi":"10.3390/informatics10010014","DOIUrl":"https://doi.org/10.3390/informatics10010014","url":null,"abstract":"Digital twin (DT) has gained significant recognition among researchers due to its potential across industries. With the prime goal of solving numerous challenges confronting the construction industry (CI), DT in recent years has witnessed several applications in the CI. Hence, researchers have been advocating for DT adoption to tackle the challenges of the CI. Notwithstanding, a distinguishable set of barriers that oppose the adoption of DT in the CI has not been determined. Therefore, this paper identifies the barriers and incorporates them into a classified framework to enhance the roadmap for adopting DT in the CI. This research conducts an extensive review of the literature and analyses the barriers whilst integrating the science mapping technique. Using Scopus, ScienceDirect, and Web of Science databases, 154 related bibliographic records were identified and analysed using science mapping, while 40 carefully selected relevant publications were systematically reviewed. From the review, the top five barriers identified include low level of knowledge, low level of technology acceptance, lack of clear DT value propositions, project complexities, and static nature of building data. The results show that the UK, China, the USA, and Germany are the countries spearheading the DT adoption in the CI, while only a small number of institutions from Australia, the UK, Algeria, and Greece have established institutional collaborations for DT research. A conceptual framework was developed on the basis of 30 identified barriers to support the DT adoption roadmap. The main categories of the framework comprise stakeholder-oriented, industry-related, construction-enterprise-related, and technology-related barriers. The identified barriers and the framework will guide and broaden the knowledge of DT, which is critical for successful adoption in the construction industry.","PeriodicalId":37100,"journal":{"name":"Informatics","volume":"10 1","pages":"14"},"PeriodicalIF":3.1,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43517941","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}

引用次数: 6