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A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises 中小企业商业智能与分析研究综述
Int. J. Bus. Intell. Res. Pub Date : 2019-01-01 DOI: 10.4018/IJBIR.2019010102
Marilex Rea Llave
{"title":"A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises","authors":"Marilex Rea Llave","doi":"10.4018/IJBIR.2019010102","DOIUrl":"https://doi.org/10.4018/IJBIR.2019010102","url":null,"abstract":"Business intelligence and analytics (BI&A) has become a cornerstone of many organizations in making informed decisions. Despite the importance of small and medium-sized enterprises (SMEs) to all world economies, research in BI&A focuses mostly on large enterprises. To aid in closing this gap, this study provides a comprehensive review of the literature sources in this domain. Through a systematic literature review, this study collects, categorizes, synthesizes, and analyzes 78 articles related to BI&A in SMEs. The research topics that are addressed include BI&A components and solutions, Mobile BI&A, Cloud BI&A, and BI&A application, adoption, implementation, and benefits. Further, the research gaps and suggestions for future research are presented to facilitate the progression of BI&A in SME research.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121213348","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
Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry 解决抱负分析公司缺乏动力的问题:来自制造业的中小企业例子
Int. J. Bus. Intell. Res. Pub Date : 2019-01-01 DOI: 10.4018/IJBIR.2019010101
Kristens Gudfinnsson, J. Rose, Lena Aggestam
{"title":"Tackling Lack of Motivation in Aspirational Analytics Companies: SME Examples from the Manufacturing Industry","authors":"Kristens Gudfinnsson, J. Rose, Lena Aggestam","doi":"10.4018/IJBIR.2019010101","DOIUrl":"https://doi.org/10.4018/IJBIR.2019010101","url":null,"abstract":"Establishing business intelligence analytics (BIA) in small- and medium-sized manufacturing enterprises is a pervasive problem. SME's - the majority of businesses - play an important role in creating jobs, but research is primarily focused on large corporations. The authors worked with small manufacturing companies at the aspirational capability level but found that their motivation to introduce BIA was low. They had many business challenges but perceived the obstacles (primarily cost and effort) as too great, and their priorities were with operational issues. A two-phase approach based on a well-known analytics maturity model was devised to help raise company motivation. The article describes three studies in different companies using variations of the approach. Comparative analysis of the cases shows that demonstrating a clear path to improved functional efficiency is key to improving motivation, and that simple, easy to learn tools can provide these insights at little cost.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129952243","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
Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage 实现预测分析的竞争优势的机遇和挑战
Int. J. Bus. Intell. Res. Pub Date : 2018-07-01 DOI: 10.4018/IJBIR.2018070101
M. Attaran, Sharmin Attaran
{"title":"Opportunities and Challenges of Implementing Predictive Analytics for Competitive Advantage","authors":"M. Attaran, Sharmin Attaran","doi":"10.4018/IJBIR.2018070101","DOIUrl":"https://doi.org/10.4018/IJBIR.2018070101","url":null,"abstract":"Predictive analytics has become an increasingly hot topic in analytics landscape. As a result, predictive analytics deployments are gaining momentum. Yet, the adoption rate is slow, and organizations are only beginning to scratch the surface in regard to the potential applications of this technology. Implemented properly, the business benefits can be substantial. However, there are strategic pitfalls to consider. The key objective of this chapter is to propose a conceptual model for successful implementation of analytics in organizations. This chapter highlights the importance of predictive analytics, identifies determinants of implementation success, and covers some of the potential benefits of this technology. Furthermore, this study reviews key attributes of a successful predictive analytics platform and illustrates how to overcome some of the strategic pitfalls of incorporating this technology in business. Finally, this study highlights successful implementation of analytics solutions in manufacturing and service industry.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132465491","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: 21
Cluster-Based Smartphone Predictive Analytics for Application Usage and Next Location Prediction 基于集群的智能手机预测分析应用程序使用和下一个位置预测
Int. J. Bus. Intell. Res. Pub Date : 2018-07-01 DOI: 10.4018/IJBIR.2018070104
Xiaoling Lu, B. Rai, Yan Zhong, Yuzhu Li
{"title":"Cluster-Based Smartphone Predictive Analytics for Application Usage and Next Location Prediction","authors":"Xiaoling Lu, B. Rai, Yan Zhong, Yuzhu Li","doi":"10.4018/IJBIR.2018070104","DOIUrl":"https://doi.org/10.4018/IJBIR.2018070104","url":null,"abstract":"Prediction of app usage and location of smartphone users is an interesting problem and active area of research. Several smartphone sensors such as GPS, accelerometer, gyroscope, microphone, camera and Bluetooth make it easier to capture user behavior data and use it for appropriate analysis. However, differences in user behavior and increasing number of apps have made such prediction a challenging problem. In this article, a prediction approach that takes smartphone user behavior into consideration is proposed. The proposed approach is illustrated using data from over 30000 users from a leading IT company in China by first converting data in to recency, frequency, and monetary variables and then performing cluster analysis to capture user behavior. Prediction models are then developed for each cluster using a training dataset and their performance is assessed using a test dataset. The study involves ten different categories of apps and four different regions in Beijing. The proposed app usage prediction and next location prediction approach has provided interesting results.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129957886","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
Identifying Organizational Factors for Successful Business Intelligence Implementation 确定成功实现商业智能的组织因素
Int. J. Bus. Intell. Res. Pub Date : 2018-07-01 DOI: 10.4018/IJBIR.2018070103
Md Shaheb Ali, S. Miah
{"title":"Identifying Organizational Factors for Successful Business Intelligence Implementation","authors":"Md Shaheb Ali, S. Miah","doi":"10.4018/IJBIR.2018070103","DOIUrl":"https://doi.org/10.4018/IJBIR.2018070103","url":null,"abstract":"Business intelligence (BI) has proliferated due to its growing application for business decision support. Research on organizational factors may offer significant use in BI implementation. However, a limited number of studies focus on organizational factors for revealing adverse impacts on effective decision support. The aim of this theoretical study is to conduct a literature analysis to identify organizational factors relevant to BI implementation. Through a systematic literature review, a qualitative content analysis on 49 relevant sample articles for generating themes inductively is adopted to reveal organizational factors. Findings suggest two contexts: information management that integrates factors such as technological capability and personnel capability and organizational context that integrates factors such as organizational capability, managerial decision, and organizational culture for facilitating embedding information management capability for BI implementation in businesses. It is hoped that these contextual understanding can be useful for further BI implementations.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115822047","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
Critical Success Factors for the Implementation of Business Intelligence Systems 商业智能系统实施的关键成功因素
Int. J. Bus. Intell. Res. Pub Date : 2018-07-01 DOI: 10.4018/IJBIR.2018070102
F. Eder, Stefan Koch
{"title":"Critical Success Factors for the Implementation of Business Intelligence Systems","authors":"F. Eder, Stefan Koch","doi":"10.4018/IJBIR.2018070102","DOIUrl":"https://doi.org/10.4018/IJBIR.2018070102","url":null,"abstract":"This article focuses on critical success factors during the implementation of a business intelligence system. The existing literature was reviewed, and critical success factors were extracted. Subsequently, the critical success factors that occur in practice were collected through qualitative expert interviews that are analysed through a qualitative content analysis. The critical success factors found in literature are afterwards compared with those that have been collected during the expert interviews. It was found that many of the critical success factors were mentioned in the literature and in the expert interviews as well, such as a strong management support, a light-weight approach, user acceptance, the project team and data quality. In addition, the performance of the business intelligence system, the definition of standards, terminology and key performance indicators as well as an institutionalization and integration of business intelligence were mentioned in the expert interviews.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"536 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120849021","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
Predictive Skill Based Call Routing Using Multi-Label Classification Techniques 基于多标签分类技术的预测技能呼叫路由
Int. J. Bus. Intell. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJBIR.2017070104
V. Kalakbandi, Sankara Prasad Kondareddy
{"title":"Predictive Skill Based Call Routing Using Multi-Label Classification Techniques","authors":"V. Kalakbandi, Sankara Prasad Kondareddy","doi":"10.4018/IJBIR.2017070104","DOIUrl":"https://doi.org/10.4018/IJBIR.2017070104","url":null,"abstract":"Thisarticle is in thecontextofacallcentrewhoseagentspossessaheterogeneousskillset.The significantchallengeforsuchacallcentrewouldbeskillsbasedcallrouting:tomatchaninbound customer call to a call centre agent possessing the relevant skillset. This article will present an alternativetotheusualInteractiveVoiceRecording(IVR)menubasedapproachtoskillbasedcall routing.Thisarticlewillalsomakeuseofamulti-labelclassificationtechniquestopredictthepurpose ofthecustomercallinadvanceandrouteittotheappropriatecallcentreagentwithoutthecustomer’s intervention.Thishassle-freecallroutingtechniqueproducesefficientinteractionsandhelpsenhance customerexperience,resultinginhighercustomersatisfactionandbettercross-sellopportunities. KeywoRdS Heterogeneous Skillset, Multi Label Classification, Predictive Analytics, Skill Based Call Routing","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127478707","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
The Making of a Successful Analytics Master Degree Program: Experiences and Lessons From an Asian University 建立一个成功的分析学硕士学位课程:来自亚洲大学的经验和教训
Int. J. Bus. Intell. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJBIR.2017070101
M. Cheong
{"title":"The Making of a Successful Analytics Master Degree Program: Experiences and Lessons From an Asian University","authors":"M. Cheong","doi":"10.4018/IJBIR.2017070101","DOIUrl":"https://doi.org/10.4018/IJBIR.2017070101","url":null,"abstract":"SingaporeManagementUniversity’sSchoolofInformationSystemsisayoungschoolwithinayoung andsmalluniversityinAsia.Beingyoungandsmall,establishingasuccessfulanalyticsmasterdegree programrequiredextensive landscaperesearch,assessmentof itsownstrengthsandweaknesses, havingacommittedteam,andhavingaclearvisiontomeettheever-changingneedsoftheindustry. The Master of IT in Business (Analytics) program, established since 2011, has grown from an annualintakeof16to128studentsinsixyears.Thisarticleattemptstodescribethedesignprocess, challengesfaced,decisionsmade,andthekeyactionstaken,whichresultedinanextremelysuccessful analyticsmasterprogram.Theexperiencesandlessonsdrawncanbecomevaluablereferencesfor otheruniversitieswhoarealsoplanningtolaunchanalyticsmasterdegreeprograms.Thearticlealso summarizesthe11keytakeawayswhichcanbeusedasastrategicguideline. KEywoRDS Analytics Master Program, Asia, Challenges and Solutions, Lessons Learnt","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131147366","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
Business Intelligence Strategy: Two Case Studies 商业智能策略:两个案例研究
Int. J. Bus. Intell. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJBIR.2017070102
Paul Hawking, C. Sellitto
{"title":"Business Intelligence Strategy: Two Case Studies","authors":"Paul Hawking, C. Sellitto","doi":"10.4018/IJBIR.2017070102","DOIUrl":"https://doi.org/10.4018/IJBIR.2017070102","url":null,"abstract":"Business Intelligence has been adopted across numerous industry sectors where the commensurate benefits have been reported as being significant to those that fall short of expectations. Indeed, an effective strategy that aligns company objectives and Business Intelligence has been shown to be an important factor in firm realizing organizational benefits. Using a case study approach, the paper documents the key aspects of two companies' Business Intelligence strategy that directly enhanced informational requirements. The paper presents a novel description of Business Intelligence strategies that will provide valuable lessons for not only researchers, but also industry practitioners.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114652582","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
Enterprise Personal Analytics: Research Perspectives and Concerns 企业个人分析:研究展望与关注
Int. J. Bus. Intell. Res. Pub Date : 2017-07-01 DOI: 10.4018/IJBIR.2017070103
Trevor Clohessy, T. Acton
{"title":"Enterprise Personal Analytics: Research Perspectives and Concerns","authors":"Trevor Clohessy, T. Acton","doi":"10.4018/IJBIR.2017070103","DOIUrl":"https://doi.org/10.4018/IJBIR.2017070103","url":null,"abstract":"Modernenterprisetechnologicallandscapesarebeingimpactedbytheincreasingindividuationof informationsystems(IS).Consequently,theend-usercomputingphenomenonisbeingextendedto incorporateamultitudeofnascentpossibilitiesfororganizations.Onepromisingavenueencompasses theuseofbusinessanalytics.Commoncategoriesofenterpriseintelligenceanalyticsaretraditionally derivedfromactivitypatternsandcollaborativeroutines.Thescopeofthisarticlefocusesonanother emergentcategoryofanalyticswhichisreferredtoas“enterprisepersonalanalytics”.Thistopichas beenonlyminimallyanalysedinISandbusinessintelligenceresearch.Thisarticlethereforeextends understandingbypresentingagridframeworkwhichcomprisesvariouscombinationsofresearch stakeholderperspectivesandconcerns.Thisframeworkcanbeusedtoguideandcoalescefuture researchonilluminatinghowpersonalanalyticscanbeusedeffectivelyinanenterprisesetting.","PeriodicalId":404696,"journal":{"name":"Int. J. Bus. Intell. Res.","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128451204","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
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