Business & IT最新文献_第5页

Digital healthcare in Europe and efficient patient care: role of analytics 欧洲的数字医疗保健和高效的患者护理:分析的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.01

Fengying Ying, H. D. Nguyen

{"title":"Digital healthcare in Europe and efficient patient care: role of analytics","authors":"Fengying Ying, H. D. Nguyen","doi":"10.14311/bit.2023.01.01","DOIUrl":"https://doi.org/10.14311/bit.2023.01.01","url":null,"abstract":"Big data analytics is beneficial for small businesses but using BDA to leverage profitability is a vital issue confronting practitioners. Although earlier research has examined the result that BDA has on business development, there is an absence of study, that explains the entire intricacy of BDA implementations. Analysis of exactly how and under what conditions BDA attain organizational performance from a holistic view is deficient in the present literature. To lengthen the theoretical view from the conventional views on the configuration idea, we have developed a conceptual look of BDA achievement, that seeks to examine how BDA includes speak with complementary organizational power as well as organizational capabilities in all configuration therapies, bringing about better quality of therapy in healthcare organizations. To assess this specific device, we have fuzzy ready qualitative family member analysis to evaluate multi supply specifics acquired from a survey, and also sources maintained by the Centre for Medicare and Medicaid Services. Our results suggest that BDA, when provided on your own, is not adequate to get the end result, but is a synergy effect wherein BDA characteristics, analytical personnel's capabilities coupled with organizational power and useful functionality, could increase readmission costs as well as patient satisfaction in healthcare organizations.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127880650","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

Research on ICT innovation in Hungarian SMEs 匈牙利中小企业信息通信技术创新研究

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.22

A. Horváth

{"title":"Research on ICT innovation in Hungarian SMEs","authors":"A. Horváth","doi":"10.14311/bit.2023.01.22","DOIUrl":"https://doi.org/10.14311/bit.2023.01.22","url":null,"abstract":"Aim of the research: the aim of the research was to assess the extent to which Hungarian enterprises use Industry 4.0 technologies, with a particular focus on Internet of Things (IoT) technology-based solutions. In contrast to most international research, IoT automated data collection and automated control technologies are treated separately. A secondary aim of the research is to analyse whether the application of innovative technologies is being addressed as a tactical/strategic issue alongside information security issues. in addressing these two issues, we will examine the short- and long-term impact of innovative solutions on the for-profit organizations. The research is based on the responses to a questionnaire survey recorded in 2018. The research included Hungarian for-profit-organizations that are free to choose how they design their ICT environment, so the regulatory environment does not have a binding effect on the IT solutions used by the respondent. The data obtained from the survey were firstly analysed using descriptive statistics, supplemented by some inferential statistical procedures. The results of the analysis proved that IoT devices should be analysed with a higher resolution than before, and that information security dimensions should not be neglected when implementing innovative devices.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132742824","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

How to increase customer satisfaction in FMCG industry using social media analytics 如何利用社交媒体分析提高快消品行业的客户满意度

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.19

Deoindre Izaak Smith, Nathalia Robertson

引用次数: 0

Relationship between analytics and innovation in software based firms in Europe 欧洲软件公司分析与创新的关系

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.15

Diana Richardson, Thomas Oliver Kellerton

{"title":"Relationship between analytics and innovation in software based firms in Europe","authors":"Diana Richardson, Thomas Oliver Kellerton","doi":"10.14311/bit.2022.01.15","DOIUrl":"https://doi.org/10.14311/bit.2022.01.15","url":null,"abstract":"Purpose: Data availability has resulted in an incredible increase due to the widespread adoption of electronic technologies. Companies are coping with huge amount of information which is awaiting to be exploited. Meanwhile, scholars are providing different methods and techniques to help companies capture the to be able to encourage innovation and improve the efficiency of existing processes, they've embedded value In their data. The data is a byproduct of these researches. Methodology / design Based on three instances used as illustrations for new ideas, the research relies on an exploratory multiple case study analysis. The collected data is, in particular, examined based on models previously provided in the literature review and built upon and expanded. The findings: Research takes a data - driven approach to development and also includes an unusual view on the development process. The trigger point is that there's a need for information that will permit the entire development process of a complex system to start. In this perspective, the application of data is a by-product of data. The entire innovation process, and not the primary outcome; This is unusual because nearly all literature is regarded as data the byproduct of the key product. Implications in practical matters Results provide a development process to inspire innovation, relying on the need for data as a trigger point, leading business people and managers through the construction process of the entire digital system.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"415 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117295089","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 role of the aluminum industry in Azerbaijan's economy: A general overview 铝工业在阿塞拜疆经济中的作用:总体概述

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.06

Ramil I. Hasanov

{"title":"The role of the aluminum industry in Azerbaijan's economy: A general overview","authors":"Ramil I. Hasanov","doi":"10.14311/bit.2023.01.06","DOIUrl":"https://doi.org/10.14311/bit.2023.01.06","url":null,"abstract":"Azerbaijan is the main oil and gas exporting country in Eastern Europe and one of the main energy suppliers in Europe. Azerbaijan, whose economy is based on the oil industry, has recently seen a certain revival in the non-oil sector. Azerbaijan is also one of the main producers of aluminum in Eastern Europe, and there are partnerships with Europe in the development of this industry as well as in the energy sector. The development of the non-oil sector in Azerbaijan is essential for the country's economy. This sector is heavily dominated by the aluminum industry. As part of the research, an economic analysis review of the Azerbaijani aluminum industry in the non-oil sector is implemented. In 2022, $3 billion worth of non-oil sector products were exported from Azerbaijan to the global market; the aluminum industry accounted for more than 5% of this total. Azeraluminium LLC, the Caucasus region's sole primary aluminum producer, exports 98% of its products to countries around the world. The general platform and development of the Azerbaijani aluminum industry, the brief technological structure of the Ganja Aluminum Complex, and the future strategy and goals of this field have all been demonstrated in a concise scientific article. The main aim of this research is to analyze the Azerbaijani aluminum industry.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131111804","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

Impact of IT & data analytics on cleaner manufacturing in Asia IT和数据分析对亚洲清洁制造业的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.12

Subhramohanty Ahuja Laghahari, Aayushmanni Bhavya Sutra, Mohammad Fazilur Ar-hakim

{"title":"Impact of IT & data analytics on cleaner manufacturing in Asia","authors":"Subhramohanty Ahuja Laghahari, Aayushmanni Bhavya Sutra, Mohammad Fazilur Ar-hakim","doi":"10.14311/bit.2022.01.12","DOIUrl":"https://doi.org/10.14311/bit.2022.01.12","url":null,"abstract":"Cleaner output is probably the most critical ways for manufacturing enterprises to achieve sustainable production and improve their competitive advantage. Nevertheless, the CP approach faced obstacles, like the absence of valuable knowledge and complete data, which may be used to offer much better guidance on decision-making of optimization and coordination on the item life-cycle management and the entire CP procedure. Thankfully, with the broad use of smart sensing units in PLM, a huge amount of multi-source and real-time life-cycle big data may today be collected. In order to create much better CP and PLM choices based on these data, in this particular study, a general design of BDA based analytics for item life cycle was suggested. It integrated BDA driven patterns, which helped overcome the above-mentioned barriers. Placed under the architecture, the accessibility of information, as well as understanding relevant to the item, were attained. Concentrating on the manufacturing and maintenance process of the item life cycle, and the primary key technologies have been developed to implement the BDA. An application scenario evidenced the presented architecture, and several observations as well as ?ndings have been mentioned in detail. The results demonstrated that the proposed structure bene?ted clients, manufacturers, planets, as well as all phases of PLM, and efficiently campaigned for the implementation of CP. Additionally, the managerial implications of the proposed structure for 4 departments have been examined and discussed. The new CP approach offered practical and theoretical grounds for the sustainable development of manufacturing companies.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116095492","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

Large-scale manufacturing in North America: How machine learning and analytics improve efficiency 北美大规模制造业:机器学习和分析如何提高效率

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.20

Alberto Valentino Gonsalez

{"title":"Large-scale manufacturing in North America: How machine learning and analytics improve efficiency","authors":"Alberto Valentino Gonsalez","doi":"10.14311/bit.2023.01.20","DOIUrl":"https://doi.org/10.14311/bit.2023.01.20","url":null,"abstract":"Nowadays, we are unquestionably in the era of info. Big Data Analytics isn't a point of view for all levels of the company. This is of specific fascination with the production pastime, together with the higher capital severeness of theirs, time constraints, and also offered the substantial quantity of info today captured. Nevertheless, there is a paucity in last literature on BDA in developing a far better understanding of the capabilities of the strategic ramifications to get importance from BDA. In that vein, the primary objective of this specific paper is generally to produce a novel layout that summarizes the main capabilities of BDA in the context of the manufacturing process. This is performed by relying on the end result of an analysis of the continuing exploration, together with a numerous case study in a visible phosphates derivatives company, to note the capabilities of BDA in the manufacturing process, in addition to outline suggestions to advance exploration of the market. The end result will help companies realize the main information analytics capabilities, as well as the possible implications for their production activity, and support them wanting to create much better BDA enabler infrastructure.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121995731","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

Impact of analytics on supply chain management 分析对供应链管理的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.16

Subhaash Chandrakumara Roy, Medinimohan Vishakhu Abhiskara

{"title":"Impact of analytics on supply chain management","authors":"Subhaash Chandrakumara Roy, Medinimohan Vishakhu Abhiskara","doi":"10.14311/bit.2022.01.16","DOIUrl":"https://doi.org/10.14311/bit.2022.01.16","url":null,"abstract":"The study bridges the gap in between the 2 intersecting domains, information science and supply chain management. The information can be examined for management, forecasting and prediction, that is in the type of accounts, forecasts, and queries. Due to the cost, weather patterns, complex nature and economic volatility of business, the forecasts might not be accurate. This has led to the development of Supply chain analytics. It is the application of quantitative and qualitative techniques to resolve related issues and to foresee the results by considering quality of information. The problems like improved effort between companies, customers, governmental organizations and retailers, businesses are developing Big Data strategies. Big Data uses will be connected for Supply Chain Management throughout the fields as procurement, warehouse operations, transportation, advertising as well as for smart logistics. As supply chain networks getting great, much more complicated and driven by needs for more demanding service levels, the kind of information which is handled as well as examined likewise gets to be more complicated. The existing labor aims at providing an introduction of adoption of abilities of Data Analytics included in a \"next generation\" architecture by creating a linear regression type on a sales-data. The paper additionally covers the survey of how big data techniques may be used for storage, managing, processing, visualization, and interpretation of data in Supply chain.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121736414","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

Determinants of students' career orientation: The empirical evidence from Vietnam 大学生职业取向的决定因素:来自越南的经验证据

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.12

Doan Hong Phat, Hoang Kim Thanh

引用次数: 0

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