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Int. J. Bus. Intell. Res.最新文献

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Business Intelligence in Audit 审计中的商业智能
Int. J. Bus. Intell. Res. Pub Date : 2012-07-01 DOI: 10.4018/jbir.2012070104
L. R. Webb
{"title":"Business Intelligence in Audit","authors":"L. R. Webb","doi":"10.4018/jbir.2012070104","DOIUrl":"https://doi.org/10.4018/jbir.2012070104","url":null,"abstract":"Since 2002, regulations have changed the landscape of internal audit as well as how many internal audit departments are viewed by senior management and the board, making it difficult for internal audit, especially small and medium departments, to maintain a role in the risk management process. Many companies are beginning to realize the benefit of using business intelligence in the risk management process. By finding ways to get involved in those efforts, internal audit can again provide value and regain a seat at the risk management table.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"15 6 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":"124471239","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
The More, the Merrier?: The Interaction of Critical Success Factors in Business Intelligence Implementations 越多越快乐?商业智能实现中关键成功因素的交互作用
Int. J. Bus. Intell. Res. Pub Date : 2012-04-01 DOI: 10.4018/jbir.2012040103
Wanda Presthus, G. Ghinea, K. Utvik
{"title":"The More, the Merrier?: The Interaction of Critical Success Factors in Business Intelligence Implementations","authors":"Wanda Presthus, G. Ghinea, K. Utvik","doi":"10.4018/jbir.2012040103","DOIUrl":"https://doi.org/10.4018/jbir.2012040103","url":null,"abstract":"Business intelligence (BI) is a term that refers to a variety of techniques and software applications used to analyze an organization’s raw data. Companies use BI to improve decision-making, identify opportunities, and cut cost. However, implementing a BI system is challenging. Critical success factors (CSFs) are necessary elements for a project to succeed. The aim of this article is to identify critical CSFs and find possible interrelationships. Using a framework of CSF constructs, the authors conducted a qualitative case study at Norway Post, a large company that successfully implemented a BI system. This research offers three contributions. The first is identifying ten CSFs for a BI implementation, and the second is a ranked list of these CSFs. The third is the CSFs interrelationship model, which may be the most exciting result for BI practitioners. Knowing which factors to fulfill and how they interrelate will increase the chances of achieving a successful BI implementation.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122649522","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
Performance Management within Social Network Sites: The Social Network Intelligence Process Method 社交网站的绩效管理:社交网络智能过程方法
Int. J. Bus. Intell. Res. Pub Date : 2012-04-01 DOI: 10.4018/jbir.2012040104
Michel Wasmann, M. Spruit
{"title":"Performance Management within Social Network Sites: The Social Network Intelligence Process Method","authors":"Michel Wasmann, M. Spruit","doi":"10.4018/jbir.2012040104","DOIUrl":"https://doi.org/10.4018/jbir.2012040104","url":null,"abstract":"The huge amount of data and complexity of decisions in the current information age requires decision makers to utilize information analysis tools for supporting business decisions. This is also the case for social network sites which control huge amounts of data just waiting to be transformed from information to valuable knowledge through Business Intelligence methods. These techniques are not yet widely in use within companies whose core business revolves around user generated content. This research conducts a qualitative research to provide more knowledge and a deeper understanding of a Business Intelligence approach which supports the business model of companies exploiting a Social Network Site. Available Business Intelligence process models do not take the organizational aspects into account as continuous process improvement elements. Therefore, this work proposes the new method: the Social Network Intelligence Process (SNIP) Method. The SNIP Method and its related management information items were validated through a series of expert interviews and an in-depth single case study at the leading Dutch social network site.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114902559","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: 17
A Method for Scalable Real-Time Network Performance Baselining, Anomaly Detection, and Forecasting 一种可扩展的实时网络性能基线、异常检测和预测方法
Int. J. Bus. Intell. Res. Pub Date : 2012-04-01 DOI: 10.4018/jbir.2012040102
R. Strahan
{"title":"A Method for Scalable Real-Time Network Performance Baselining, Anomaly Detection, and Forecasting","authors":"R. Strahan","doi":"10.4018/jbir.2012040102","DOIUrl":"https://doi.org/10.4018/jbir.2012040102","url":null,"abstract":"Communication is the lifeblood of any business. Today, communication is predominantly facilitated by digital packets transported over the interconnected arteries of the data network infrastructure. It is imperative that this infrastructure is well managed, that unexpected behavior is quickly identified and explained, and that problems are predicted and preempted. Therefore, network performance management systems should be able to detect unusual or anomalous behavior as it happens, and quickly trigger automatic analysis or alert a human operator. Growth trends in network traffic must also be identified so that future problems may be anticipated and prevented. To meet these challenges, this paper proposes an integrated, scalable method to perform baselining, anomaly detection, and forecasting on time series network metrics. The method is based on the popular Holt-Winters triple exponential smoothing technique – a technique that compares favorably to other more complex and costly approaches.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123407411","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: 6
Social Media and Corporate Data Warehouse Environments: New Approaches to Understanding Data 社会媒体和企业数据仓库环境:理解数据的新方法
Int. J. Bus. Intell. Res. Pub Date : 2012-04-01 DOI: 10.4018/jbir.2012040101
Debora S. Bartoo
{"title":"Social Media and Corporate Data Warehouse Environments: New Approaches to Understanding Data","authors":"Debora S. Bartoo","doi":"10.4018/jbir.2012040101","DOIUrl":"https://doi.org/10.4018/jbir.2012040101","url":null,"abstract":"This paper argues that organizations need to prepare for the integration of social media data into their data warehouses in order to fully understand their customers. Social media has quickly gained acceptance in its adoption and use and firms are eager to get their hands on it to better understand customer sentiment. However, social media data is different and more complex than traditional data and most data warehouses are not structured in a way for BI applications to easily make sense it. As a result, it is becoming critical for business intelligence teams to begin to understand the challenges this data presents and to better plan for the integration of this information into corporate data warehouses.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"VII 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133028256","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
Business Intelligence Should be Centralized 商业智能应该是集中的
Int. J. Bus. Intell. Res. Pub Date : 2011-10-01 DOI: 10.4018/jbir.2011100104
Briana F Johnson
{"title":"Business Intelligence Should be Centralized","authors":"Briana F Johnson","doi":"10.4018/jbir.2011100104","DOIUrl":"https://doi.org/10.4018/jbir.2011100104","url":null,"abstract":"The implementation of BI into the business strategy and culture is laden with many potential points that could result in failure of the initiative, leaving BI to be underdeveloped and a source of wasted resources for the company. Due to the unique nature of BI in the business space, properly setting up BI within the organizational structure from the onset of integration minimizes the impact of the most common hurdles to BI implementation. Many companies choose to mitigate these problems by using a centralized approach by building a Center of Excellence, but their place in the company’s organizational structure needs to be well-defined and properly empowered to be effective. This paper also reviews how the concept of centralization is defined, how it relates to the implementation of BI, and how it can effectively in overcome the common implementation hurdles.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367306","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
Discovering Business Intelligence from the Subjective Web Data 从主观网络数据中发现商业智能
Int. J. Bus. Intell. Res. Pub Date : 2011-10-01 DOI: 10.4018/jbir.2011100101
R. Bose
{"title":"Discovering Business Intelligence from the Subjective Web Data","authors":"R. Bose","doi":"10.4018/jbir.2011100101","DOIUrl":"https://doi.org/10.4018/jbir.2011100101","url":null,"abstract":"The online word-of-mouth behavior that exists today in the Web represents new and measurable sources of information. The automated discovery or mining of consumer opinions from these sources is of great importance for marketing intelligence and product benchmarking. Techniques are now being developed to effectively and easily mine the consumer opinions from the Web data and to timely deliver them to companies and individual consumers. This study investigates this emerging field named ‘opinion mining’ in terms of what it is, what it can do, and how it could be used effectively for business intelligence (BI). A rigorous review of the research literature on opinion mining is conducted to explore its current state, issues and challenges for its use in developing business applications for competitive advantage. The study aims to assist business managers to better understand the current opportunities and challenges in using opinion mining for deriving BI. Future research directions for further development of the field are also identified.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"309 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477904","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: 13
The Future Talent Shortage Will Force Global Companies to Use HR Analytics to Help Manage and Predict Future Human Capital Needs 未来的人才短缺将迫使全球公司使用人力资源分析来帮助管理和预测未来的人力资本需求
Int. J. Bus. Intell. Res. Pub Date : 2011-10-01 DOI: 10.4018/jbir.2011100105
Carey W. Worth
{"title":"The Future Talent Shortage Will Force Global Companies to Use HR Analytics to Help Manage and Predict Future Human Capital Needs","authors":"Carey W. Worth","doi":"10.4018/jbir.2011100105","DOIUrl":"https://doi.org/10.4018/jbir.2011100105","url":null,"abstract":"During the recent recession the number of jobs lost has been widely publicized. However, lurking among this obvious and simple metric of how human capital is involved in the workforce, there is the need to analyze and predict future talent. As economic conditions are slow to improve, decisions to simply cut the traditional costs, benefits, compensation and headcount are no longer enough. Companies have already started using business intelligence (BI) to transform and maximize the potential of their human capital. The use of human capital based business intelligence (BI) has increasingly become one of the vital strategic components for world-class companies. This paper will focus on why companies should use analytics (a subset of Business Intelligence (BI)) to transform and maximize the potential of their human capital.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133829362","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: 18
Business Intelligence Enhances Strategic, Long-Range Planning in the Commercial Aerospace Industry 商业智能增强商业航空航天工业的战略和长期规划
Int. J. Bus. Intell. Res. Pub Date : 2011-10-01 DOI: 10.4018/jbir.2011100102
D. Ellis
{"title":"Business Intelligence Enhances Strategic, Long-Range Planning in the Commercial Aerospace Industry","authors":"D. Ellis","doi":"10.4018/jbir.2011100102","DOIUrl":"https://doi.org/10.4018/jbir.2011100102","url":null,"abstract":"The world’s largest aircraft manufacturers like Boeing and Airbus have traditionally been dominant in the commercial aerospace industry, but due to the rise of several smaller commercial aircraft companies and in spite of air travel increasing each year, it will be paramount for Boeing and Airbus to thoroughly understand past and current market conditions and be able to combine their understanding with the proper analytical tools to anticipate the market demands of the future if they are to remain the world leaders in their industry. This paper presents a discussion of industry factors such as airline routes, past passenger demands in different regions of the world and the sizes and types of aircraft that were required to support those demands, and more importantly, how analysis of that information is integral to the projection of future demands within the commercial aerospace market which will facilitate Boeing and Airbus positioning themselves to provide their airline customers with the right product at the right time.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129241872","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
Performance Management Through Societal Performance Indicators 通过社会绩效指标进行绩效管理
Int. J. Bus. Intell. Res. Pub Date : 2011-10-01 DOI: 10.4018/jbir.2011100103
Joe White
{"title":"Performance Management Through Societal Performance Indicators","authors":"Joe White","doi":"10.4018/jbir.2011100103","DOIUrl":"https://doi.org/10.4018/jbir.2011100103","url":null,"abstract":"Performance management is tied to external forces and stakeholders whose assessment of performance is more focused on societal outcomes than purely financial outcomes. Government, corporate, and even personal performance measurement should take into account societal indicators that link these disparate yet intertwined spheres of influence. New initiatives in both government and commercial sectors are bringing greater understanding of how societal indicators can measure performance. This paper highlights how societal indicators are used to measure performance in corporate and government sectors. Corporate societal indicators are explored primarily though literary research. Government societal indicators are explored through an examination of the EPA and Superfund program. The paper demonstrates that there is synergy between corporate, government, and personal government performance measures and how business intelligence tools are making these relationships more transparent.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688376","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
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