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Kapitel 4: Teilprozess Analytics 第四章
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-105
Mischa Seiter
{"title":"Kapitel 4: Teilprozess Analytics","authors":"Mischa Seiter","doi":"10.15358/9783800658725-105","DOIUrl":"https://doi.org/10.15358/9783800658725-105","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79433454","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
Kapitel 1: Grundlagen
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-1
Mischa Seiter
{"title":"Kapitel 1: Grundlagen","authors":"Mischa Seiter","doi":"10.15358/9783800658725-1","DOIUrl":"https://doi.org/10.15358/9783800658725-1","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88728423","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
Sachverzeichnis Sachverzeichnis
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-249
Mischa Seiter
{"title":"Sachverzeichnis","authors":"Mischa Seiter","doi":"10.15358/9783800658725-249","DOIUrl":"https://doi.org/10.15358/9783800658725-249","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74201180","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
Kapitel 5: Teilprozess Preparation
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-169
Mischa Seiter
{"title":"Kapitel 5: Teilprozess Preparation","authors":"Mischa Seiter","doi":"10.15358/9783800658725-169","DOIUrl":"https://doi.org/10.15358/9783800658725-169","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76369556","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
Kapitel 2: Teilprozess Framing
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-39
Mischa Seiter
{"title":"Kapitel 2: Teilprozess Framing","authors":"Mischa Seiter","doi":"10.15358/9783800658725-39","DOIUrl":"https://doi.org/10.15358/9783800658725-39","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"414 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80013589","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
Kapitel 3: Teilprozess Allocation 第三章:局部审判
Journal of Business Analytics Pub Date : 2019-01-01 DOI: 10.15358/9783800658725-65
Mischa Seiter
{"title":"Kapitel 3: Teilprozess Allocation","authors":"Mischa Seiter","doi":"10.15358/9783800658725-65","DOIUrl":"https://doi.org/10.15358/9783800658725-65","url":null,"abstract":"","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73979433","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
Alignment of business and social media strategies: insights from a text mining analysis 商业和社会媒体策略的一致性:来自文本挖掘分析的见解
Journal of Business Analytics Pub Date : 2018-07-03 DOI: 10.1080/2573234X.2019.1602002
Amir Hassan Zadeh, A. Jeyaraj
{"title":"Alignment of business and social media strategies: insights from a text mining analysis","authors":"Amir Hassan Zadeh, A. Jeyaraj","doi":"10.1080/2573234X.2019.1602002","DOIUrl":"https://doi.org/10.1080/2573234X.2019.1602002","url":null,"abstract":"ABSTRACT Organisations utilise social media technologies for various customer engagement and external-facing activities in recent years. This research examines the extent to which the business strategies and social media strategies of organisations are aligned. Using a sample of 33 organisations competing in the information technology industry, the business strategies were operationalised using data extracted from the annual 10-K reports while the social media strategies were identified from the Twitter feeds. Topic modelling with latent semantic analysis revealed six different orientations in the business and social media strategies of organisations, which were used to evaluate alignment. This study also identified clusters of organisations with varying levels of alignment. Implications for research and practice are discussed.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"77 1","pages":"117 - 134"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76313849","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
Explaining impact of predictors in rankings: an illustrative case of states rankings 解释预测因子对排名的影响:以各州排名为例
Journal of Business Analytics Pub Date : 2018-07-03 DOI: 10.1080/2573234X.2019.1605312
A. E. Rodriguez, A. Ozkul, Brian Marks
{"title":"Explaining impact of predictors in rankings: an illustrative case of states rankings","authors":"A. E. Rodriguez, A. Ozkul, Brian Marks","doi":"10.1080/2573234X.2019.1605312","DOIUrl":"https://doi.org/10.1080/2573234X.2019.1605312","url":null,"abstract":"ABSTRACT This study presents an approach that can be used to identify important predictors used incalculating performance rankings and gauge their sensitivities. Random Forests is a powerful machine learning tool well known for their predictive powers. It is especially suited to broach the small-n, large-p problem usually found in rankings procedures. However, random forests are unable to shed any insight intohow the examined predictors affect individual entries in the ranked set. A procedure calledLocal Interpretable Model-Agnostic Explanations (LIME) enables decision-makers to discernthe most important individual variables and their relative contributions to the outcome ofeach element in the ranked set. To explain this procedure, we use the 2016 edition of theALEC-Laffer State Rankings data. With the method proposed in this study, a state’s policymakerswould have specific knowledge on how to improve their state’s ranking. This method is ofgeneral applicability to any policy domain.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"18 1","pages":"135 - 143"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89585217","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 analytics and firm performance: role of structured financial statement data 商业分析和公司绩效:结构化财务报表数据的作用
Journal of Business Analytics Pub Date : 2018-07-03 DOI: 10.1080/2573234X.2018.1557020
Vincent G. Whitelock
{"title":"Business analytics and firm performance: role of structured financial statement data","authors":"Vincent G. Whitelock","doi":"10.1080/2573234X.2018.1557020","DOIUrl":"https://doi.org/10.1080/2573234X.2018.1557020","url":null,"abstract":"ABSTRACT Although business analytics has received its fair share of attention, extant research has paid insufficient attention to establishing and communicating a general understanding of the relationship between analytics and performance. In order to reduce the identified knowledge gap, this study proposes a comprehensive, theoretical framework to explain the key types of business analytics, their relationships, and how business analytics use impacts operational and financial performance. This study proposes a combination of critical systems, “holistic thinking/big picture/decision-making,” approaches to moderate key relationships to impact performance. Additionally, this study presents a case illustration of a real-world contract manufacturer, employing the proposed framework, to demonstrate the innovative use of integrated business analytics to turnaround an organization, and position it to survive, thrive, innovate, and grow. Findings indicate that firms, “overwhelmed by” and “struggling to use” data to improve business results, have a viable cost-effective framework to advance business analytics capability, in their organizations.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"128 1","pages":"81 - 92"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85508835","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: 14
From analytics to artificial intelligence 从分析学到人工智能
Journal of Business Analytics Pub Date : 2018-07-03 DOI: 10.1080/2573234X.2018.1543535
T. Davenport
{"title":"From analytics to artificial intelligence","authors":"T. Davenport","doi":"10.1080/2573234X.2018.1543535","DOIUrl":"https://doi.org/10.1080/2573234X.2018.1543535","url":null,"abstract":"ABSTRACT Analytics have been employed by companies for several decades, but now many firms are interested in building their capabilities for artificial intelligence (AI). Many AI systems, however, are based on statistics and other forms of analytics. Companies can get a “running start” on AI by building upon their analytical competencies. The focus of this article is how to transition from analytics to AI. Three eras of analytical focus are detailed, with AI portrayed as a fourth era. The types of AI methods that are and are not based on analytics are described. AI applications that build on analytical strengths are discussed. Approaches to assessing analytical capabilities that relate to AI, and the development of an organizational plan and strategy for AI, are also described in brief.","PeriodicalId":36417,"journal":{"name":"Journal of Business Analytics","volume":"4 1","pages":"73 - 80"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78427751","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: 105
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