Journal of Information and Organizational Sciences最新文献_第4页

Real-time Web Search Framework for Performing Efficient Retrieval of Data 用于执行有效数据检索的实时Web搜索框架

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2021-06-15 DOI: 10.31341/jios.45.1.13

F. Al-akashi, D. Inkpen

{"title":"Real-time Web Search Framework for Performing Efficient Retrieval of Data","authors":"F. Al-akashi, D. Inkpen","doi":"10.31341/jios.45.1.13","DOIUrl":"https://doi.org/10.31341/jios.45.1.13","url":null,"abstract":"With the rapidly growing amount of information on the internet, real-time system is one of the key strategies to cope with the information overload and to help users in finding highly relevant information. Real-time events and domain-specific information are important knowledge base references on the Web that frequently accessed by millions of users. Real-time system is a vital to product and a technique must resolve the context of challenges to be more reliable, e.g. short data life-cycles, heterogeneous user interests, strict time constraints, and context-dependent article relevance. Since real-time data have only a short time to live, real-time models have to be continuously adapted, ensuring that real-time data are always up-to-date. The focal point of this manuscript is for designing a real-time web search approach that aggregates several web search algorithms at query time to tune search results for relevancy. We learn a context-aware delegation algorithm that allows choosing the best real-time algorithms for each query request. The evaluation showed that the proposed approach outperforms the traditional models, in which it allows us to adapt the specific properties of the considered real-time resources. In the experiments, we found that it is highly relevant for most recently searched queries, consistent in its performance, and resilient to the drawbacks faced by other algorithms","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44929496","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: 1

Re-examination and expanding the EUCS Model on Cloud-based ERP system 基于云ERP系统的EUCS模型的再检验与扩展

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2021-06-15 DOI: 10.31341/jios.45.1.7

Weli Weli

{"title":"Re-examination and expanding the EUCS Model on Cloud-based ERP system","authors":"Weli Weli","doi":"10.31341/jios.45.1.7","DOIUrl":"https://doi.org/10.31341/jios.45.1.7","url":null,"abstract":"The end-user computing satisfaction model (EUCS) has been widely used in previous studies, and Enterprise Resource Planning. Therefore, Enterprise Resource Planning (ERP) System, need to be developed in accordance with cloud computing that dominate current information technology devices. This study was carried out to test the expansion of the EUCS model in a cloud-based ERP system. Therefore, the purpose of this research is to re-examine the validity and reliability of the computer application satisfaction model and its relationship with user performance in cloud-based ERP system. The overall satisfaction variable is added as a mediation between the satisfaction model and user performance. Data was collected through snowball sampling with a questionnaire distributed to the cloud-based ERP users. Additionally, data processing was conducted using the Second-order concept in structural equation modeling with the Partial Least Square approach. Since data processing using WarpPLS confirmed the validity and reliability of the model and all relationships between variables, this research contributes theoretically to the study of end-user satisfaction from information technology applications. Its final section describes the limitations and opportunities for future research.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46330403","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: 4

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2021-06-15 DOI: 10.31341/jios.45.1.12

E. Natsheh

引用次数: 0

A Framework of Social Networks Control in Higher Educational Contexts 高等教育情境下的社会网络控制框架

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2021-02-15 DOI: 10.31341/jios.45.2.6

M. Jakovljevic, N. Nkopodi

引用次数: 1

Use of Internet Social Networks in Academic Environment 网络社交网络在学术环境中的应用

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.5

Renáta Cenková, William Steingartner

引用次数: 2

Complete SAT based Cryptanalysis of RC5 Cipher 基于SAT的RC5密码分析

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.10

Artur Soboń, M. Kurkowski, Sylwia Stachowiak

{"title":"Complete SAT based Cryptanalysis of RC5 Cipher","authors":"Artur Soboń, M. Kurkowski, Sylwia Stachowiak","doi":"10.31341/jios.44.2.10","DOIUrl":"https://doi.org/10.31341/jios.44.2.10","url":null,"abstract":"Keeping the proper security level of ciphers used in communication networks is today a very important problem. Cryptanalysts ensure a constant need for improvement complexity and ciphers' security by trying to break them. Sometimes they do not instantly try to break the strongest version of the cipher, but they are looking for weaknesses by splitting it and independently checking all algorithm components. Often cryptanalysts also attempt to break cipher by using its weaker version or configuration. There are plenty of mechanisms and approaches to cryptanalysis to solve those challenges. One of them is SAT-based method, that uses logical encoding. In this article, we present our wide analysis and new experimental results of SATbased, direct cryptanalysis of the RC5 cipher. To perform such actions on the given cipher, we initially create a propositional logical formula, that describes and represents the entire RC5 algorithm. The second step is to randomly generate key and plaintext. Then we determine the ciphertext. In the last step of our computations, we use SAT-solvers. They are particularly designed tools for checking the satisfiability of the Boolean formulas. In our research, we make cryptanalysis of RC5 cipher in the case with plaintext and ciphertext. To get the best result, we compared many SATsolvers and choose several. Some of them were relatively old, but still very efficient and some were modern and popular.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44637916","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: 1

Quantum-Inspired Evolutionary Algorithms for Neural Network Weight Distribution 神经网络权值分布的量子进化算法

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.9

Srishti Sahni, Vaibhav Aggarwal, Ashish Khanna, Deepak Gupta, S. Bhattacharyya

引用次数: 0

Development of a Models of Interpersonal Competencies as a Complex System 作为复杂系统的人际能力模型的发展

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.3

Boris Blažinić, L. Gotal Dmitrović, M. Stojić

引用次数: 1

Comparison of Telecommunication Markets in Europe Using Multivariate Statistical Analysis 基于多元统计分析的欧洲电信市场比较

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.8

Pavel Kossecki

引用次数: 0

A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management 大数据在银行风险管理中的应用综述

IF 0.6

Journal of Information and Organizational Sciences Pub Date : 2020-12-18 DOI: 10.31341/jios.44.2.7

Ivana Dvorski Lacković, Vladimir Kovšca, Zrinka Lacković Vincek

{"title":"A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management","authors":"Ivana Dvorski Lacković, Vladimir Kovšca, Zrinka Lacković Vincek","doi":"10.31341/jios.44.2.7","DOIUrl":"https://doi.org/10.31341/jios.44.2.7","url":null,"abstract":"Contemporary banks operate in a changing environment influenced by regulatory requirements, emerging new risk types and high competition on the market. At the same time banks have on their disposal large datasets from internal and external sources – the question arising is whether banks are using adequate analytics to gain value from big data. Big data has been used in banking for some time, mostly in the marketing field, but the usage of big data in banks’ risk management has not been a subject of extensive scientific research. The goals of this paper are twofold. Firstly, the authors are presenting an overview of existing research on the topic of big data usage in banks’ risk management by discussing selected aspects of this topic. Secondly, the authors are formulating a proposal on how to strategically use big data in risk management in banks by merging literature based extracted usage of big data with risk management phases. Expected contributions of this paper are systematization of knowledge from available literature and increasing scientific and professional awareness on the topic and potential of big data in banks’ risk management.","PeriodicalId":43428,"journal":{"name":"Journal of Information and Organizational Sciences","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44891286","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: 4