MOBILE BUSINESS INTELLIGENCE: KEY CONSIDERATIONS FOR IMPLEMENTATIONS PROJECTS

被引:12
|
作者
Verkooij, Kim [1 ]
Spruit, Marco [1 ]
机构
[1] Univ Utrecht, NL-3508 TC Utrecht, Netherlands
关键词
business intelligence; mobile business applications; implementation methods;
D O I
10.1080/08874417.2013.11645668
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The new generation of mobile devices, such as smartphones and tablets, is enabling employees to access business insights anytime, anywhere. This trend in Business Intelligence (BI) is popularized under the term mobile BI. Various studies indicate a strong increase in the adoption of this technology. However. mobile BI implementations remain unexplored and unsupported by implementation methods. By devising a Mobile BI Implementation (MOBII) framework, this study aims to fill in this research gap. A systematic literature review revealed the following major implementation themes: (I) value creation, (2) application deployment, (3) information security, (4) workforce mobilization, (5) information delivery and (6) device management. Moreover, expert interviews revealed twenty key considerations, which are also included in the framework. Using a single case study the MOBII framework was successfully evaluated and its practical applicability was demonstrated by adapting an actively used BI implementation method.
引用
收藏
页码:23 / 33
页数:11
相关论文
共 50 条
  • [31] BUSINESS INTELLIGENCE SOLUTION FOR MONITORING THE KEY PERFORMANCE INDICATORS ON THE ENERGY WHOLESALE MARKET
    Florea, Alexandra
    Bara, Adela
    Lungu, Ion
    Tor, Osman Bulent
    PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY (IE 2017): EDUCATION, RESEARCH & BUSINESS TECHNOLOGIES, 2017, : 291 - 296
  • [32] USE OF BUSINESS INTELLIGENCE FOR PERFORMANCE EVALUATION THROUGH KEY PERFORMANCE INDICATORS (KPI'S)
    Lescano, Luis Rafael Freire
    Ocana, Luis Antonio Llerena
    REVISTA UNIVERSIDAD Y SOCIEDAD, 2023, 15 : 160 - 169
  • [33] Key-based Reversible Data Masking for Business Intelligence Healthcare Analytics Platforms
    Ali-Ozkan, Osama
    Ouda, Abdelkader
    2019 INTERNATIONAL SYMPOSIUM ON NETWORKS, COMPUTERS AND COMMUNICATIONS (ISNCC 2019), 2019,
  • [34] Digital traces for business intelligence A case study of mobile telecoms service brands in Greece
    Milolidakis, Giannis
    Akoumianakis, Demosthenes
    Kimble, Chris
    JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2014, 27 (01) : 66 - +
  • [35] iBiz: An Android Mobile Application with Business Intelligence for Retail Micro and Small Enterprises (MSEs)
    Matoza, Roehl F., Jr.
    Miranda, Lex Marco Paulo A.
    Sitoy, Julianne Isabel E.
    Intal, Grace Lorraine D.
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON E-COMMERCE, E-BUSINESS AND E-GOVERNMENT, ICEEG 2022, 2022, : 145 - 151
  • [36] Linking business intelligence into your business
    Vlerick Leuven Gent Management School, K.U.Leuven, Belgium
    IT Prof, 2008, 6 (28-34): : 28 - 34
  • [37] Business Intelligence Excellence: A Company's Journey to Business Intelligence Maturity
    Hawking, Paul
    AMCIS 2011 PROCEEDINGS, 2011,
  • [38] Probing the Effect of Business Intelligence on the Performance of Construction Projects Through the Mediating Variable of Project Quality Management
    Golestanizadeh, Mahboobeh
    Sarvari, Hadi
    Parishani, Amirhossein
    Akindele, Nelson
    Edwards, David J.
    BUILDINGS, 2025, 15 (04)
  • [39] BUSINESS INTELLIGENCE IN CLOUD
    Olszak, C. M.
    POLISH JOURNAL OF MANAGEMENT STUDIES, 2014, 10 (02): : 116 - 126
  • [40] Collaborative Business Intelligence
    Rizzi, Stefano
    BUSINESS INTELLIGENCE, 2012, 96 : 186 - 205