Business & IT最新文献_第4页

How analytics is driving the supply chain innovation in North America 分析是如何推动北美供应链创新的

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.19

Aryamanna Mathili Rao, Mitchell A. Rothstein

{"title":"How analytics is driving the supply chain innovation in North America","authors":"Aryamanna Mathili Rao, Mitchell A. Rothstein","doi":"10.14311/bit.2022.01.19","DOIUrl":"https://doi.org/10.14311/bit.2022.01.19","url":null,"abstract":"With big data analytics becoming more popular, academics have been wondering how they can adapt to the changes in competitive strategies that these solutions bring. This analysis, using the resource-based perspective, capabilities and also the most recent literature on big data analytics, examines the indirect connection between a big data analytics capability and two types of development capabilities, incremental and radical. The study extends existing research by proposing that BDACs enable companies to produce insight that could help strengthen dynamic capabilities that positively influence incremental innovation capabilities and radical. To test the hypothesis we proposed, we utilized survey data from 185 chief executives and managers operating in Italian companies. The outcomes of partial least squares structural equation modeling confirm our assumptions about the indirect effect that BDACs have on development capabilities. In particular, we find out that dynamic abilities completely mediate the outcome on both incremental and radical innovation capabilities. Furthermore, under conditions of higher environmentally friendly heterogeneity, the effect of BDACs on powerful features and in sequence is improved incremental innovation ability, while under conditions of higher eco-friendly dynamism, the effect of powerful abilities on incremental innovation abilities is increased.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"12 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":"127607592","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: 10

How analytics can impact firm performance in Japanese software companies 分析学如何影响日本软件公司的业绩

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.07

Hiroshi Akeera Katsu, Christophar Nicholas Hendstein

引用次数: 0

How supply chain analytics improve business agility of manufacturing firms in Eastern Europe 供应链分析如何提高东欧制造企业的业务敏捷性

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.01

Faddei Danylo Boryslav, Alexandra Danciu Barbaneagra, M. Kováčová

引用次数: 0

Impact of big data analytics & machine learning on innovation of manufacturing companies 大数据分析和机器学习对制造企业创新的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.14

C. Anderson, Agueda Antonia Serra, Lucas Casper Abrahamsen

{"title":"Impact of big data analytics & machine learning on innovation of manufacturing companies","authors":"C. Anderson, Agueda Antonia Serra, Lucas Casper Abrahamsen","doi":"10.14311/bit.2022.01.14","DOIUrl":"https://doi.org/10.14311/bit.2022.01.14","url":null,"abstract":"Developments in Business Analytics in the era of Big Data have furnished unprecedented possibilities for businesses to innovate. With insights gained from Business Analytics, businesses are in a position to cultivate new or even enhanced products/services. Nevertheless, not many scientific studies have examined the mechanism whereby Business Analytics plays a role in a firm 's innovation results. This particular analysis aims to deal with this gap by empirically and theoretically checking out the connection between Business Analytics as well as innovation. In order to do this aim, absorptive capability principle is employed as a theoretical lens to understand the improvement of a research version. Absorptive capacity theory describes a firm 's potential to understand the importance of fresh, external info, assimilate it and put it on to commercial ends. The study model covers the usage of Business Analytics, innovation, data-driven culture, environmental scanning, along with competitive advantage. The study design is examined by way of a questionnaire survey of 228 USA companies. The results suggest that Business Analytics specifically increases green scanning which helps you to improve a company 's development. Business Analytics also specifically enhances data driven culture which in turn impacts on green scanning. Data-driven culture plays another essential function by moderating the impact of green scanning on new product meaningfulness. The findings show the beneficial effect of company analytics on development and the pivotal roles of green scanning as well as data driven culture. Organizations wishing to realize the possibility of Business Analytics thus require changes in both their internal and external focus.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"46 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":"131352771","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

Ebanking - measuring attributes of banking new technologies adoption in developing economy countries 电子银行——衡量发展中国家银行新技术采用的属性

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.04

J. D. De Jager, L. C. Ayikwa, Elizma Wannenburg

{"title":"Ebanking - measuring attributes of banking new technologies adoption in developing economy countries","authors":"J. D. De Jager, L. C. Ayikwa, Elizma Wannenburg","doi":"10.14311/bit.2022.01.04","DOIUrl":"https://doi.org/10.14311/bit.2022.01.04","url":null,"abstract":"This study intended to develop, explore and validate a new measurement scale for the attributes of eBanking adoption dedicated to developing economy countries. It gathered items from previously validated instruments underlying eight banking customers' characteristics, performance expectations, effort expectations, perceived ease of use, social influence, perceived digital banking services quality, hedonic motivation and customer experience to form the initial measurement scale. Once, data was collected using convenience sampling, they were analysed through factor analysis procedures. At the exploratory phase, five components were retained and while four have been labelled according to some initial dimensions, one was renamed \"perceived performance of digital banking\". Furthermore, one item was removed from each reorganised component to increase internal consistency. At confirmatory factor stage, all remaining items were allowed to be incorporated in the final measurement scale, though, reaching an overall good fit model index necessitated the technique of correlating error terms for two measurement models: perceived performance of digital banking and social influence. Recommendations were made to extend the study kind investigation to gather data from much more developing economy countries as well as integrating other components that were not considered.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"71 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":"128208870","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

Business performance analytics & firm performance: an Indian case study 商业绩效分析与公司绩效:一个印度案例研究

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.24

Aakangksha Shamitha Shyla, Saanvita Aaktriti Dotta, Winga Marina Chung

引用次数: 0

Impact of data analytics in transforming the decision-making process 数据分析在改变决策过程中的影响

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.09

Arthur Paul Christenson Jr., William Shalom Goldstein

{"title":"Impact of data analytics in transforming the decision-making process","authors":"Arthur Paul Christenson Jr., William Shalom Goldstein","doi":"10.14311/bit.2022.01.09","DOIUrl":"https://doi.org/10.14311/bit.2022.01.09","url":null,"abstract":"Although business analytics is becoming more and more used to provide data-driven insights to support decision making, there is little research on how business analytics may be used at an organizational level to enhance decision making effectiveness. This paper develops a study model linking company analytics to organizational decision-making effectiveness, using the info processing view as well as contingency theory. Based on 740 responses from UK business organizations, the research model is examined using structural situation modelling. Key findings show that business analytics can be done through key findings. Mediating a data driven environment positively affects information processing abilities, which have a good impact on decision-making effectiveness in turn. The findings also show that the pathways from company analytics to decision making are obvious. There are no statistical differences between large and small businesses, but several differences between the manufacturing and professional services industries. Our findings add to the literature on business analytics by offering helpful insights into company analytics applications and the facilitation of data driven decision making. They also improve the knowledge and understanding of managers by showing how business analytics needs to be applied to improve decision making effectiveness.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"144 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":"127559923","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 banks are leveraging machine learning: perspective from African banks 银行如何利用机器学习:来自非洲银行的视角

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.26

Abebe Sutukai Nwachukwu, Kwame Efua Boatengu

引用次数: 10

Healthcare and IoT devices: role of information technology in the healthcare industry 医疗和物联网设备:信息技术在医疗行业中的作用

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2022.01.20

Mingalu Pangare Lingkau, Kuo Ling Haoseng, Yong Meng Phaotangu

{"title":"Healthcare and IoT devices: role of information technology in the healthcare industry","authors":"Mingalu Pangare Lingkau, Kuo Ling Haoseng, Yong Meng Phaotangu","doi":"10.14311/bit.2022.01.20","DOIUrl":"https://doi.org/10.14311/bit.2022.01.20","url":null,"abstract":"Today, wearable health products play a crucial role in most locations, such as constant wellness monitoring of people, street traffic management, weather forecasting, along with smart house. These sensor devices constantly generate massive amounts of data and are kept in cloud computing. This particular chapter proposes Internet of Things design to store and system scalable sensor information for healthcare apps. Proposed architecture comprises 2 primary architecture, specifically, MetaFog-Redirection and Choosing and Grouping architecture. Though cloud computing offers scalable data storage, effective computing platforms must process it. There's a requirement for scalable algorithms to process the big sensor information and recognize the helpful patterns. To conquer this problem, this particular chapter proposes a scalable MapReduce based logistic regression to process such massive quantities of sensor information. Apache Mahout includes scalable logistic regression to system BDA in a distributed way. This particular chapter uses Apache Mahout with Hadoop Distributed File System to process the sensor information produced by the wearable health units.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"160 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":"121555297","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 localized manufacturing: How machine learning can help improve efficiency 分析和本地化制造:机器学习如何帮助提高效率

Business & IT Pub Date : 1900-01-01 DOI: 10.14311/bit.2023.01.16

Georgiana Jane Rebecca

{"title":"Analytics and localized manufacturing: How machine learning can help improve efficiency","authors":"Georgiana Jane Rebecca","doi":"10.14311/bit.2023.01.16","DOIUrl":"https://doi.org/10.14311/bit.2023.01.16","url":null,"abstract":"Big details (BD) analytics has brought progressive enhancement of the company environment. It offers companies with optimized improvement, personalization, and production in the way output is dispersed. Nevertheless, conflicts come up in the usage of these techniques in a few industries, including retail items, which often basis on large scale generation as well as extended supply chain. The analysis gets a theoretical framework to investigate whether great details that comes with production solutions that are different are able to provide for a dispersed manufacturing process. Through study of twenty one customer products company situations implementing main and secondary details, the study investigated changing manufacturing processes, the inherent catalyst, the performance of analytics, and the effect of its on distributed generation. The analysis discovers many applications of distributed manufacturing concepts to assess the current production procedures worked for bigger client merchandise ways by using analytics as well as business analysis. The evaluation 's suggested framework stated in this particular analysis has a much deeper effect on preparation, comprehension relationships, amongst elements of data analytics and also distributed creation.","PeriodicalId":150829,"journal":{"name":"Business & IT","volume":"8 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":"114918314","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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