发布求助
文献互助 智能选刊 最新文献

Int. J. Bus. Intell. Res.最新文献

筛选
英文 中文
SCAX: Measuring Organizational Readiness to Embrace Supply Chain Analytics SCAX:衡量组织准备接受供应链分析
Int. J. Bus. Intell. Res. Pub Date : 2013-04-01 DOI: 10.4018/jbir.2013040102
Hamid R. Nemati, Antara Udiavar
{"title":"SCAX: Measuring Organizational Readiness to Embrace Supply Chain Analytics","authors":"Hamid R. Nemati, Antara Udiavar","doi":"10.4018/jbir.2013040102","DOIUrl":"https://doi.org/10.4018/jbir.2013040102","url":null,"abstract":"Supply chains today amass huge amounts of data. To remain competitive in a global economy, organizations need to constantly derive meaningful information from this plethora of data to make critical business decisions. The process of gaining meaningful and actionable knowledge from supply chain related data is referred to as Supply Chain Analytics SCA. As a result of demonstrated benefits from SCA, organizations are spending considerable amount of resources to develop these analytical capabilities. However, due to complexities of such undertakings, many SCA projects fail to achieve the desired results. It is argued that a major reason for such failures is lack of organizational readiness to embrace analytics. This paper presents an index for measuring the readiness of organizations to successfully implement SCA. The Supply Chain Analytics Index, henceforth referred to SCAX, was developed by surveying 112 SCA professionals from 7 countries and from various industries and professional backgrounds. Using this index, organizations can tangibly assess their readiness to take full advantage of the power of SCA.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630213","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: 9
Business Intelligence Practices: Adding Evidence from Organizations in the Nordic Countries 商业智能实践:从北欧国家的组织中添加证据
Int. J. Bus. Intell. Res. Pub Date : 2013-04-01 DOI: 10.4018/jbir.2013040101
Urban Ask
{"title":"Business Intelligence Practices: Adding Evidence from Organizations in the Nordic Countries","authors":"Urban Ask","doi":"10.4018/jbir.2013040101","DOIUrl":"https://doi.org/10.4018/jbir.2013040101","url":null,"abstract":"There is considerate interest in Business Intelligence BI from many perspectives, but little research describing design and use of BI in real companies is available Granlund, 2011; Jourdan, Rainer & Marshall, 2008. The aim of this article is to add empirical evidence to the knowledge of BI practices, addressing calls for research. BI practices are reported from 193 large Nordic organizations with the aim to give a broad perspective. Nordic organizations are seen as early movers in the adoption of technology Beise, 2004 and receptive to adopt innovations Waarts & Van Everdingen, 2005. However, the picture this paper arrives at is that Nordic organizations design and use of BI solutions is fairly traditional, with a major focus on reporting and analysis that contain financial information. There are signs of \"beyond traditional use\" of BI, but more field based research is needed to better understand BI in practice.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129089513","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: 15
Mobile Business Intelligence 移动商务智能
Int. J. Bus. Intell. Res. Pub Date : 2013-04-01 DOI: 10.4018/jbir.2013040104
J. Brodzinski, E. Crable, Thilini R. Ariyachandra, M. Frolick
{"title":"Mobile Business Intelligence","authors":"J. Brodzinski, E. Crable, Thilini R. Ariyachandra, M. Frolick","doi":"10.4018/jbir.2013040104","DOIUrl":"https://doi.org/10.4018/jbir.2013040104","url":null,"abstract":"Demand for business intelligence BI applications continues to grow at a rapid pace. Business intelligence via mobile devices is the latest frontier to drive demand among organizations interested in BI applications. However, mobile BI is still in its infancy. There are many opportunities to advance the way users use and interact with BI applications using mobile BI. Nevertheless, there are many challenges and issues that still require attention to attain mobile BI success. This paper highlights the state of mobile BI solutions and strategies to consider during a mobile BI implementation. It also discusses the challenges and opportunities mobile BI presents to organizations.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116435123","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: 25
A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets 一种基于树的超大财务数据集中冗余业务规则检测方法
Int. J. Bus. Intell. Res. Pub Date : 2012-10-01 DOI: 10.4018/jbir.2012100101
Nhien-An Le-Khac, S. Markos, Mohand Tahar Kechadi
{"title":"A Tree-Based Approach for Detecting Redundant Business Rules in Very Large Financial Datasets","authors":"Nhien-An Le-Khac, S. Markos, Mohand Tahar Kechadi","doi":"10.4018/jbir.2012100101","DOIUrl":"https://doi.org/10.4018/jbir.2012100101","url":null,"abstract":"Net Asset Value NAV calculation and validation is the principle task of a fund administrator. If the NAV of a fund is calculated incorrectly then there is huge impact on the fund administrator; such as monetary compensation, reputational loss, or loss of business. In general, these companies use the same methodology to calculate the NAV of a fund; however the type of fund in question dictates the set of business rules used to validate this. Today, most Fund Administrators depend heavily on human resources due to the lack of an automated standardized solutions, however due to economic climate and the need for efficiency and costs reduction many banks are now looking for an automated solution with minimal human interaction; i.e., straight through processing STP. Within the scope of a collaboration project that focuses on building an optimal solution for NAV validation, the authors will present a new approach for detecting correlated business rules and show how they evaluate this approach using real-world financial data.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127965042","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: 22
Closing the Gap between Data Mining and Business Users of Business Intelligence Systems: A Design Science Approach 缩小数据挖掘与商业智能系统业务用户之间的差距:一种设计科学方法
Int. J. Bus. Intell. Res. Pub Date : 2012-10-01 DOI: 10.4018/jbir.2012100102
Ana Azevedo, M. Santos
{"title":"Closing the Gap between Data Mining and Business Users of Business Intelligence Systems: A Design Science Approach","authors":"Ana Azevedo, M. Santos","doi":"10.4018/jbir.2012100102","DOIUrl":"https://doi.org/10.4018/jbir.2012100102","url":null,"abstract":"Since Lunh first used the term Business Intelligence BI in 1958, major transformations happened in the field of information systems and technologies, especially in the area of decision support systems. BI systems are widely used in organizations and their importance is recognized. These systems present themselves as essential parts of a complete knowledge of business and an irreplaceable tool in the support to decision making. The dissemination of data mining DM tools is increasing in the BI field, as well as the acknowledgment of the relevance of its usage in enterprise BI systems. BI tools are friendly, iterative, and interactive, allowing business users an easy access. The user can manipulate directly data, having the ability to extract all the value contained into that business data. Problems noted in the use of DM in the field of BI is related to the fact that DM models are complex in order to be directly manipulated by business users, not including BI tools. The nonexistence of BI tools allowing business users the direct manipulation of DM models was identified as the problem. More of these issues, possible solutions and conclusions are presented in this article.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"9 35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128866402","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: 19
Retreading Tire Management with Business Intelligence 用商业智能改造轮胎管理
Int. J. Bus. Intell. Res. Pub Date : 2012-10-01 DOI: 10.4018/jbir.2012100103
S. Collier, D. Edberg, D. Croasdell
{"title":"Retreading Tire Management with Business Intelligence","authors":"S. Collier, D. Edberg, D. Croasdell","doi":"10.4018/jbir.2012100103","DOIUrl":"https://doi.org/10.4018/jbir.2012100103","url":null,"abstract":"Justifying the development of a business intelligence system is challenging when the primary beneficiaries of the system are internal to the company responsible for that development; it is even harder to justify when the system is designed to produce a new service that is radically different than current in-house manufactured products. This case explores the possibility of a tire manufacturer developing a business intelligence system to help their customers manage very large heavy equipment tires within the mining industry. These tires are one of the biggest expenses for mining companies and this case discusses the opportunity to use business intelligence to manage that expense. This case encourages discussion of such topics as: the issues involved in system initiation from technology personnel, the need to incorporate both real-time and historical data in a system, the need for technology personnel to have deep knowledge of an application domain, and the challenges that arise from integrating data produced by disparate systems.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124632502","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: 7
Modeling-Centered Data Warehousing Learning: Methods, Concepts and Resources 以建模为中心的数据仓库学习:方法、概念和资源
Int. J. Bus. Intell. Res. Pub Date : 2012-10-01 DOI: 10.4018/jbir.2012100104
N. Jukic, B. Jukic
{"title":"Modeling-Centered Data Warehousing Learning: Methods, Concepts and Resources","authors":"N. Jukic, B. Jukic","doi":"10.4018/jbir.2012100104","DOIUrl":"https://doi.org/10.4018/jbir.2012100104","url":null,"abstract":"Though data warehousing is widely recognized in the industry as the principal decision support system architecture and an integral part of the corporate information system, the majority of academic institutions in the US and world-wide have been slow in developing curriculums that reflect this. The authors examine the issues that have contributed to the lag in the coverage of data warehousing topics at universities and introduce methods, concepts and resources that can enable business educators to deal with these issues and conduct comprehensive, detailed, and meaningful coverage of data warehouse related topics.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121574472","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
Analyzing the Effectiveness of Pharmaceutical Marketing Using Business Intelligence Methods 利用商业智能方法分析医药营销的有效性
Int. J. Bus. Intell. Res. Pub Date : 2012-07-01 DOI: 10.4018/jbir.2012070101
Elizabeth H. Ricks, John C. Yi
{"title":"Analyzing the Effectiveness of Pharmaceutical Marketing Using Business Intelligence Methods","authors":"Elizabeth H. Ricks, John C. Yi","doi":"10.4018/jbir.2012070101","DOIUrl":"https://doi.org/10.4018/jbir.2012070101","url":null,"abstract":"Pharmaceutical companies have traditionally marketed their products through a combination of several channels: sales details to physicians, direct-to-consumer advertising, professional medical journal advertising, sponsorship of meetings and events and e-promotion. With an impending patent cliff and subsequent loss in revenue, the industry must depend on, among many factors, recently launched products to offset the revenue loss. Coupled with increased generic competition, companies must evaluate the return on investment of their marketing dollars. This paper analyzes the effectiveness of traditional marketing methods, both industry-wide and for recently launched products, using the latest Business Intelligent methods. The dataset used in this paper is a sample of prescription, promotional, competitive, and product data from SDI Health. The analysis in this paper reveals that traditional marketing methods have a decreasing level of impact with the number of prescriptions dispensed, and describes new potential channels for marketing, as well as collecting and analyzing data to aid the industry improve its resource utilization.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129318496","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: 5
Making Organizational Learning Work: Lessons from a High Reliability Organization 使组织学习有效:来自高可靠性组织的经验教训
Int. J. Bus. Intell. Res. Pub Date : 2012-07-01 DOI: 10.4018/jbir.2012070105
J. Sullivan, R. Beach
{"title":"Making Organizational Learning Work: Lessons from a High Reliability Organization","authors":"J. Sullivan, R. Beach","doi":"10.4018/jbir.2012070105","DOIUrl":"https://doi.org/10.4018/jbir.2012070105","url":null,"abstract":"This paper reports findings from an ongoing study to understand the dynamics of operational reliability. Previously, the study identified weaknesses in organizational settings that inhibited learning opportunities, specifically the ability to learn from failure (Sullivan et al., 2008). Effective organizational learning strategies are critical in promoting operational reliability, specifically recovering from operational failures or preventing them altogether (Sullivan, 2007). There is considerable debate over the effectiveness of organizational learning and there is evidence that shows that it can, and in some cases must, work. The U.S. Navy demonstrates exceptional learning capabilities, learning from failure and even learning without failure. Further, the Navy’s knowledge management practices have proven effective over time as generations of military personnel, civil servants, and contractors learn from the experiences of their predecessors (Sullivan, 2007).","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127756461","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: 11
Business Intelligence: Attribute and Feature Demand 商业智能:属性和特征需求
Int. J. Bus. Intell. Res. Pub Date : 2012-07-01 DOI: 10.4018/jbir.2012070102
Gerald V. Post, A. Kagan
{"title":"Business Intelligence: Attribute and Feature Demand","authors":"Gerald V. Post, A. Kagan","doi":"10.4018/jbir.2012070102","DOIUrl":"https://doi.org/10.4018/jbir.2012070102","url":null,"abstract":"Data mining and business intelligence tools have been adding features and gaining uses, and statistical tools developed for data mining tasks often require advanced knowledge and training to apply. Development of these selected tools requires tradeoffs in ease of use and power. This study asks users to evaluate the various tools and attributes to identify the relative value of the various components and provide direction for improvements and new tools. Evaluating multi-attribute software is a challenging task, and this study provides a method of evaluating the data and analyzing tradeoffs. A structured equation model (SEM) is applied to the process. Each of the existing tools evaluated have different relative strengths, so it is important to match the organization’s primary tasks to the relative strengths of the tool.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127317119","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信