Business & IT最新文献_第3页

Information technology & supply chain management: role of big data on efficiency 信息技术与供应链管理:大数据对效率的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.10

Ying Ming Chouakang, Kinga Pangu Managtuk, Lebangan Minatark Tussaly

{"title":"Information technology & supply chain management: role of big data on efficiency","authors":"Ying Ming Chouakang, Kinga Pangu Managtuk, Lebangan Minatark Tussaly","doi":"10.14311/bit.2022.01.10","DOIUrl":"https://doi.org/10.14311/bit.2022.01.10","url":null,"abstract":"The study bridges the gap in between the 2 intersecting domains, information science and supply chain management. The information could be examined for listing 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's the application of quantitative and qualitative techniques in order 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. Large Data uses will be connected for Supply Chain Management throughout the fields as procurement, warehouse operations, transportation, advertising as well as for sensible 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 large data techniques may be used for storage, managing, processing, visualization and interpretation of data in the area of Supply chain.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"50 1-2 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":"131452441","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 business value can be increased with analytics in the financial services industry 金融服务行业如何通过分析提高业务价值

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.09

Buana Lintang Singarimbum

{"title":"How business value can be increased with analytics in the financial services industry","authors":"Buana Lintang Singarimbum","doi":"10.14311/bit.2023.01.09","DOIUrl":"https://doi.org/10.14311/bit.2023.01.09","url":null,"abstract":"Background/ Objectives: Big Data is a tremendously large data set that has been analyzed, managed, managed and validated through a regular info management application. Banks are of all financial services industries, that handle overwhelming quantities of transaction info managed, scrutinized, in addition to employed for the gain of banks and definitely the customers. Thus, this specific analysis paper examined how BDA is handled in Malay/Indian/Indonesian manufacturing banks. The elements which have a larger impact on banks in handling large data were analyzed, in addition to how analytics generates worth for the business. Method/Statistical Analysis: Secondary data was collected from several sources, such as articles, journals and websites. The elements including great data management, consumer segmentation, risk management, fraud detection, in addition to business value of banking industries are studied. A conceptual framework was produced to spotlight the components that have a much better impact on big data management in the banking business. Findings: From the analysis, it's examined that big data analytics has pushed a noticeable change in the business worth of banks, as well as the components that influence the organization. Application/Improvements: Banks must revamp their software architecture for dealing with key information, and stick to the brand new technologies which boost the internet business worth of the company.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"38 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":"123504397","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 Zangazur Corridor as the new haulage hub for integration and cooperation in the South Caucasus 把赞加祖尔走廊作为南高加索地区一体化与合作的新运输枢纽

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.14

Muhammad Gulahmadov, R. Huseyn

{"title":"The Zangazur Corridor as the new haulage hub for integration and cooperation in the South Caucasus","authors":"Muhammad Gulahmadov, R. Huseyn","doi":"10.14311/bit.2023.01.14","DOIUrl":"https://doi.org/10.14311/bit.2023.01.14","url":null,"abstract":"This paper examines the economic significance of the South Caucasus' Zangazur Corridor in terms of achieving long-term peace, connectivity and integration in the region, and boosting regional growth. It further claims that the Zangazur Corridor will aid future South Caucasus reconciliation and economic cooperation.Upon the signing of the declaration, the establishment of the Zangazur corridor became even more critical. The Zangazur Corridor will connect the Republic of Azerbaijan and the Nakhchivan Autonomous Republic via the Republic of Armenia's Meghri area. The route was important in regional and international railway and highway transportation between Azerbaijan, Armenia, Iran, Turkey, and Russia during the Soviet era. However, the conflict between Armenia and Azerbaijan disrupted transportation for thirty years. The transportation links will then be extended from China to Europe. The Zangazur Corridor will play a vital part in the construction of East-West and North-South haulage. Many countries will benefit from the restoration of railways and roadways in the future. Hence, the study discusses the prospect of utilizing the Zangezur corridor - which is specified in the tripartite agreement dated 10 November 2020 - and emphasizes its significance as a vital element of the international transport network.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"1 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":"129727290","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

Analytics and innovation management: Does big data play any role? 分析与创新管理:大数据发挥作用吗?

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.07

Arthur Paul Christenson

{"title":"Analytics and innovation management: Does big data play any role?","authors":"Arthur Paul Christenson","doi":"10.14311/bit.2023.01.07","DOIUrl":"https://doi.org/10.14311/bit.2023.01.07","url":null,"abstract":"This particular analysis explores the connection between ﬁrms' application of data analytics (specifically it's attributes) together with the revolutionary functionality of company. The other goal is assessing whether big amount of information is always better to get business innovation. The study collected information via questionnaire survey from control staffs of 250 businesses in both developed and developing economies. Statistical tools like Multiple regression methods and t-test were used to analyse the information. The study found suggestive evidence demonstrating that data analytics is a relevant determinant of a ﬁrm getting innovator and bring innovative services and products on the industry. The study even discovered that big volume of information isn't always better info to drive innovation. The results imply that firms are required to use big data analytics to remain imaginative and also have a competitive advantage. Unlike previous studies which approached large details as whole, this particular study addresses different ingredients of big data like variety, velocity, volume, and the individual impacts of theirs on innovation of organizations across the evolved economies.","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":"126620297","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 analytics drive business performance and profitability 分析如何推动业务绩效和盈利能力

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.02

Christophar Nicholas Hendstein

引用次数: 0

Big data and its role on fostering innovation in Asia 大数据及其在促进亚洲创新中的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.21

Chingru Mangila Ronwe, K. Mang

引用次数: 0

Financial innovation at large financial services businesses: Evidence from Eastern Europe 大型金融服务企业的金融创新:来自东欧的证据

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.10

Chih-hung Mien Liu, X. Meng

{"title":"Financial innovation at large financial services businesses: Evidence from Eastern Europe","authors":"Chih-hung Mien Liu, X. Meng","doi":"10.14311/bit.2023.01.10","DOIUrl":"https://doi.org/10.14311/bit.2023.01.10","url":null,"abstract":"Purpose: Big data analytics is a recently offered state of the art technology with potential business influence. Nevertheless, the roadmap for the effective implementation of its also the street to exploit its essential value remains unclear. This specific analysis seeks to create a much greater understanding of the enablers facilitating BDA implementation in the banking, in addition to the financial service part, from the view of interdependencies and interrelations. Design/Methodology/Approach: We use an integrated approach that incorporates Delphi assessment, interpretive structural modeling, and fuzzy MICMAC technique to identify the interactions between enablers, which determine the accomplishments of BDA implementation. Our incorporated method uses experts' domain understanding and gains a novel insight into the underlying causal relations about enablers, linguistic evaluation of the mutual impacts among variables, and also like two revolutionary techniques for visualizing the results. Findings: Our findings highlight the main key role of enabling components, including technical and skilled workforce, infrastructure readiness, financial assistance, and also selecting good main details strategies. These elements have considerable driving impacts on other enablers in a hierarchical style. The outcomes provide reliable, robust and easy insights into the qualities of BDA implementation in banking and financial programs as a whole system, while demonstrating attainable influences of all interconnected crucial components. Originality/Value: This analysis explores the main key enablers for good BDA implementation in the banking and financial service sector. Much more enough, it reveals the interrelationships of components by calculating operating as well as dependence degrees. This particular exploration provides managers with a clear strategic path toward effective BDA implementation.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"50 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":"130317282","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

Role of data analytics in supply chain for improving customer satisfaction and profitability 数据分析在供应链中的作用，以提高客户满意度和盈利能力

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.13

Francesco Esposito, A. Mikhailov, Noémie Delphine Toussaint

引用次数: 0

Big data analytics and its impact on efficient banking in Europe-Asia 大数据分析及其对欧亚银行效率的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.18

Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred

{"title":"Big data analytics and its impact on efficient banking in Europe-Asia","authors":"Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred","doi":"10.14311/bit.2022.01.18","DOIUrl":"https://doi.org/10.14311/bit.2022.01.18","url":null,"abstract":"Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"47 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":"127234227","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

Healthcare analytics in non-profits: Evidence from North America 非营利组织的医疗保健分析:来自北美的证据

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.18

Thomas Oliver Kellerton, Meredith Claire Smith

{"title":"Healthcare analytics in non-profits: Evidence from North America","authors":"Thomas Oliver Kellerton, Meredith Claire Smith","doi":"10.14311/bit.2023.01.18","DOIUrl":"https://doi.org/10.14311/bit.2023.01.18","url":null,"abstract":"Background: The implementation of Big Data analytics in healthcare has an incredible chance of improving the quality of care, minimizing waste and error, and also decreasing the cost of care. Purpose: This systematic comment of literature objectives to discover the assortment of Big Data analytics in healthcare, including its applications and challenges in the adoption of its in healthcare. Furthermore, it intends to figure out the strategies to overcome the challenges. Data sources: An organized search of the articles was carried out on ﬁve primary scientiﬁc databases: ScienceDirect, Taylor, Francis and Emerald. The information articles on Big Data analytics in healthcare published from January 2017 to January 2022 are deemed. Data extraction: two reviewers independently extracted information on deﬁnitions of Big Data analytics; sources and applications of Big Data analytics in the healthcare field; challenges and strategies to overcome the issues in healthcare. Results: A complete of fifty eight articles are selected as per the inclusion needs and examined. The analyses of these posts placed that scientists do not have consensus about the useful deﬁnition of Big Data in serious healthcare. Big Data analytics ﬁnds the application for healthcare option support, optimization of healthcare operations, and reduction of treatment cost. The chief fight in serious adoption of Big Data analytics is non accessibility of evidence of its in healthcare. Conclusion: This review analysis unveils that there is a paucity of information on evidence of world utilization that is real of Big Data analytics in healthcare. Keywords: Big data, healthcare analytics.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"76 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":"122270085","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

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