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Conclusion 结论
Journal of Business Analytics Pub Date : 2021-01-01 DOI: 10.1007/978-3-658-32642-5_8
Matthieu Jaunatre
{"title":"Conclusion","authors":"Matthieu Jaunatre","doi":"10.1007/978-3-658-32642-5_8","DOIUrl":"https://doi.org/10.1007/978-3-658-32642-5_8","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86135942","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
Entwicklung von innovativen Strategieoptionen in gesättigten Märkten
Journal of Business Analytics Pub Date : 2021-01-01 DOI: 10.1007/978-3-658-34393-4
Anett Gabriela Oldenburg
{"title":"Entwicklung von innovativen Strategieoptionen in gesättigten Märkten","authors":"Anett Gabriela Oldenburg","doi":"10.1007/978-3-658-34393-4","DOIUrl":"https://doi.org/10.1007/978-3-658-34393-4","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77222494","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
Results 结果
Journal of Business Analytics Pub Date : 2021-01-01 DOI: 10.1007/978-3-658-32642-5_6
Matthieu Jaunatre
{"title":"Results","authors":"Matthieu Jaunatre","doi":"10.1007/978-3-658-32642-5_6","DOIUrl":"https://doi.org/10.1007/978-3-658-32642-5_6","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"128 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88173651","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
An integrated approach to renew software contract using machine learning. 一种利用机器学习更新软件合同的集成方法。
Journal of Business Analytics Pub Date : 2020-12-30 DOI: 10.1080/2573234X.2020.1863749
Shylu John, Bhavin J. Shah, V. Dixit, Amol Wani
{"title":"An integrated approach to renew software contract using machine learning.","authors":"Shylu John, Bhavin J. Shah, V. Dixit, Amol Wani","doi":"10.1080/2573234X.2020.1863749","DOIUrl":"https://doi.org/10.1080/2573234X.2020.1863749","url":null,"abstract":"ABSTRACT Contract renewal is critical to maintaining a company’s recurring revenue source. Therefore, there is a significant emphasis on setting up an efficient process for renewal. In this study, a machine learning technique was followed to improve contract renewal rates. In addition to this, key factors affecting renewal rates were also studied in detail. The solution presented in this study used an unsupervised machine learning technique to segment high-risk resellers with relatively lower probability of renewal, which was further actioned upon by a proactive contact strategy soliciting a contract renewal. This solution was tested and monitored for a period of three quarters. It resulted in an incremental improvement in the renewal rate for the company. As part of the implementation, a user interface application was also developed, which enabled the sales specialist to list and contact high-risk (or underperformer) resellers quarter-on-quarter.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"114 1","pages":"14 - 25"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84180230","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
Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression 网络安全威胁与组织响应:文本分析和面板回归
Journal of Business Analytics Pub Date : 2020-12-26 DOI: 10.1080/2573234X.2020.1863750
A. Jeyaraj, A. Zadeh, V. Sethi
{"title":"Cybersecurity Threats and Organisational Response: Textual Analysis and Panel Regression","authors":"A. Jeyaraj, A. Zadeh, V. Sethi","doi":"10.1080/2573234X.2020.1863750","DOIUrl":"https://doi.org/10.1080/2573234X.2020.1863750","url":null,"abstract":"ABSTRACT This study examines the relationship between cybersecurity threats faced and cybersecurity response planned by organisations. Classifying cybersecurity threats into four types – physical threats, personnel threats, communication and data threats, and operational threats – this study examines organisational responses to such threats. Using textual data on cybersecurity threats and response gathered from the 10-K reports published by 87 organisations, topic modelling was conducted to assess the threats and response. A cross-sectional time-series regression model fitted on the topic weights showed that cybersecurity response was influenced by cybersecurity threats, beyond the time-invariant control and period variables. Specifically, physical threats and operational threats influenced the technical response; physical threats, communication and data threats, and operational threats influenced the non-technical response; and personnel threats influenced the overall response. Implications for research and practice are discussed.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"6 1","pages":"26 - 39"},"PeriodicalIF":0.0,"publicationDate":"2020-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83412940","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: 2
Team Contingent or Sport Native? A Bayesian Analysis of Home Field Advantage in Professional Soccer 团队偶然性还是运动原生?职业足球主场优势的贝叶斯分析
Journal of Business Analytics Pub Date : 2020-12-17 DOI: 10.1080/2573234X.2020.1854625
D. Chaojie, Ananyo Chakravarty
{"title":"Team Contingent or Sport Native? A Bayesian Analysis of Home Field Advantage in Professional Soccer","authors":"D. Chaojie, Ananyo Chakravarty","doi":"10.1080/2573234X.2020.1854625","DOIUrl":"https://doi.org/10.1080/2573234X.2020.1854625","url":null,"abstract":"ABSTRACT Besides confirming the existence of home advantage (HA) in professional sports competition, this work intends to breakdown HA into sub-components and trace the specific sources of HA. Using scoring performance data from ESPN FC, we fit a Bayesian multilevel-nested model to the parameters in our proposed hierarchical model of HA, allowing information obtained from the season level to inform the inferences about scoring capabilities at the upper team, league, and sport levels. Our analysis reveals that much of HA is attributed to the nature of the sport of interest as well as teams playing the sport. The results seem to endorse the view that home advantage is mainly characteristic of the sport and participating teams, while league grouping can be safely ignored as a credible contributing source. Finally, we discuss the implications of our proposed two-source model of HA for future research at the inter-sport level.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"20 1","pages":"67 - 75"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83508531","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
How advanced analytics create (Core) value: an example from a pharmaceutical company, AstraZeneca 高级分析如何创造(核心)价值:以制药公司阿斯利康为例
Journal of Business Analytics Pub Date : 2020-07-02 DOI: 10.1080/2573234x.2020.1829508
B. Willigers
{"title":"How advanced analytics create (Core) value: an example from a pharmaceutical company, AstraZeneca","authors":"B. Willigers","doi":"10.1080/2573234x.2020.1829508","DOIUrl":"https://doi.org/10.1080/2573234x.2020.1829508","url":null,"abstract":"ABSTRACT Large investments in analytics demonstrate that the pharmaceutical industry has embraced the value proposition of data science. This excitement however does not imply that companies, currently, have a solid understanding how data science creates value. Management rely on data scientists for the value delivery of advanced analytics. Objectives of data scientists and management are not necessarily aligned. Choices made by data scientists might be suboptimal from a wholistic corporate perspective. Conversely management might lack technical expertise. This situation is an example of a principal-agent problem. AstraZeneca is making significant investments in analytical capabilities. AstraZeneca beliefs that investment decisions should not be strictly determined by monetary objectives, instead corporate Core Values should be used as guiding principles. The relationship between objectives and attributes are captured in an objective hierarchy network. This model reduces the information asymmetry between data scientists and its leaders by creating clarity regarding the objectives pursued by AstraZeneca.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"59 1","pages":"122 - 137"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83586310","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
Determining rank in the market using a neutrosophic decision support system 使用中性决策支持系统确定市场排名
Journal of Business Analytics Pub Date : 2020-07-02 DOI: 10.1080/2573234x.2020.1834883
A. Banerjee, Basav Roychoudhury, Bidyut Jyoti Gogoi
{"title":"Determining rank in the market using a neutrosophic decision support system","authors":"A. Banerjee, Basav Roychoudhury, Bidyut Jyoti Gogoi","doi":"10.1080/2573234x.2020.1834883","DOIUrl":"https://doi.org/10.1080/2573234x.2020.1834883","url":null,"abstract":"ABSTRACT A company’s rank vis-à-vis that of its competitors is an important metric in understanding its position in the market. For a company, being ranked below its competitors indicates that customers are dissatisfied with its products, signalling the need for a review of its strategies. Existing state-of-the-art methods for ascertaining a company’s rank do not utilise the valuable data available on social media or most smart technologies such as the Internet of Things (IoT) and artificial intelligence. This study develops a new method to estimate a company’s rank using company-deployed intelligent software agents and social IoT(SIoT) objects. The company objects collect real-time feedback about one or more of the company products from social networks for storage and analysis. These company objects are equipped with questionnaires with important metrics such as the Customer Happiness Index, opinion on features of competitive products, expectations in upcoming models of the product. Then neutrosophic numbers have been used to determine truthiness, falsity and indeterminacy of each opinion and based on such opinions, rank of a company is determined.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"SE-13 1","pages":"138 - 157"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84644618","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
A market basket analysis of the US auto-repair industry 美国汽车修理行业的一篮子市场分析
Journal of Business Analytics Pub Date : 2020-07-02 DOI: 10.1080/2573234x.2020.1838958
Hilde Patron, Laureano Gomez
{"title":"A market basket analysis of the US auto-repair industry","authors":"Hilde Patron, Laureano Gomez","doi":"10.1080/2573234x.2020.1838958","DOIUrl":"https://doi.org/10.1080/2573234x.2020.1838958","url":null,"abstract":"ABSTRACT Market basket analysis (MBA), or the mining of transactional data to uncover association rules, is a popular methodology used in managerial decision making. MBA is centered around three key parameters: support, confidence, and lift, and the choice of starting values for these parameters can have a significant impact on the results of the analysis. We develop a procedure in R around the Apriori algorithm to help in identifying lift maximising rules when the support covers a specified proportion. The procedure facilitates the choice of minimum parameters, eliminates redundancies, and organizes the resulting association rules into actionable formats. When applied to the US auto repair data, we find un-exploited bundling packages that can be added to the scheduled maintenance services of traditional marketing campaigns.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"9 1","pages":"79 - 92"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84242225","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
Estimation and demographic analysis of COVID-19 infections with respect to weather factors in Europe 欧洲COVID-19感染与天气因素的估计和人口分析
Journal of Business Analytics Pub Date : 2020-07-02 DOI: 10.1080/2573234x.2020.1832866
Reza Gharoie Ahangar, R. Pavur, Mahdis Fathi, A. Shaik
{"title":"Estimation and demographic analysis of COVID-19 infections with respect to weather factors in Europe","authors":"Reza Gharoie Ahangar, R. Pavur, Mahdis Fathi, A. Shaik","doi":"10.1080/2573234x.2020.1832866","DOIUrl":"https://doi.org/10.1080/2573234x.2020.1832866","url":null,"abstract":"ABSTRACT The main objective of this study is to investigate the relationship between the COVID-19 and the weather factors of the most populated and industrialised countries in Europe and propose the best mathematical model to forecast the daily number of COVID-19 cases. To find the relationship between the COVID-19 and the weather factors of absolute humidity and temperature in Spain, France, Italy, Germany, and the United Kingdom, we conducted a Poisson analysis. We also used the General Linear Neural Network (GRNN) model to forecast the trend and number of daily COVID-19 cases in these European countries. The results reveal a statistically significant negative relationship between the number of COVID-19 infections and weather factors of temperature & absolute humidity. Furthermore, the results show a stronger negative relationship between COVID-19 and absolute humidity than temperature. In our proposed GRNN method, we find better compatibility for the COVID-19 cases in Italy relative to the other European countries in this study.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"56 1","pages":"93 - 106"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77636239","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: 8
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