Mobile decision support and business intelligence: an overview

被引:16
|
作者
Power, Daniel J. [1 ]
机构
[1] Univ Northern Iowa, Dept Management, Cedar Falls, IA 50614 USA
关键词
Mobile; decision-making; decision support; cloud computing; DSS;
D O I
10.1080/12460125.2012.760267
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Decision-making occurs in many places. Mobile decision support provides a technology solution that enables decision-makers to bring powerful decision-aiding capabilities with them while on the go. Business intelligence and data-driven decision support especially benefit from mobile computing. The effectiveness of mobile decision support is constrained by the features of applications, the quality of data used and the ability of decision-makers to interpret information and act upon it in real time. The constraints imposed by hardwired, desktop computing no longer exist. Constraints imposed by application design, data limitations and decision support users themselves remain a concern of designers. Basic decision support concepts must be understood to develop new applications that use the capabilities of mobile devices, cloud-based delivery, and real-time alerts and interactions.
引用
收藏
页码:4 / 9
页数:6
相关论文
共 50 条
  • [41] Business Intelligence System for Operational Decision Making Support: A Case Study on Lube Distribution
    Mashudi
    Rachmawati, Nur
    Suranto, Tri
    Dwinovita, Irva
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DATA AND SOFTWARE ENGINEERING (ICODSE), 2016,
  • [42] Developing a Mobile Business Intelligence Application
    Ramamoorthy, Sathyanath Lappasi
    Bhogal, Jagdev
    [J]. 2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS),, 2014, : 392 - 397
  • [43] Framework Guidelines to Measure the Impact of Business Intelligence and Decision Support Methodologies in the Public Sector
    Boselli, Roberto
    Cesarini, Mirko
    Mezzanzanica, Mario
    [J]. PROCEEDINGS OF THE 11TH EUROPEAN CONFERENCE ON EGOVERNMENT, 2011, : 107 - 115
  • [44] Reconciling business intelligence, analytics and decision support systems: More data, deeper insight
    Phillips-Wren, Gloria
    Daly, Mary
    Burstein, Frada
    [J]. DECISION SUPPORT SYSTEMS, 2021, 146
  • [45] Business Intelligence Model to Support a Judge's Decision Making about Legal Situations
    Rodriguez Oconitrillo, Luis Raul
    de la Ossa Osegueda, Alvaro
    [J]. 2016 IEEE 36TH CENTRAL AMERICAN AND PANAMA CONVENTION (CONCAPAN XXXVI), 2016,
  • [46] ANALYSING MULTIDIMENSIONAL DATABASES USING DATA MINING AND BUSINESS INTELLIGENCE TO PROVIDE DECISION SUPPORT
    Basra, Rajveer Singh
    Lu, Kevin J.
    [J]. ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS, 2008, : 472 - 479
  • [47] Enhancing Artificial Intelligence Decision Making Frameworks to Support Leadership During Business Disruptions
    Unhelkar, Bhuvan
    Gonsalves, Tad
    [J]. IT PROFESSIONAL, 2020, 22 (06) : 59 - 66
  • [48] Mobile Business Intelligence Usage Patterns
    Tona, Olgerta
    [J]. AMCIS 2015 PROCEEDINGS, 2015,
  • [49] MOBILE BUSINESS INTELLIGENCE - PORTABLE POWER
    Andriciuc, Dan
    Cihriac, Alexandru Ciprian
    Pana, Aura
    [J]. INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY, 2012, : 109 - 113
  • [50] BUSINESS INTELLIGENCE SOLUTIONS FOR DECISION MAKERS
    Stanescu, Ioana Andreea
    Giurgiu, Luminita
    Dogaru, Camelia
    [J]. 16TH INTERNATIONAL CONFERENCE THE KNOWLEDGE-BASED ORGANIZATION: APPLIED TECHNICAL SCIENCES AND ADVANCED MILITARY TECHNOLOGIES, CONFERENCE PROCEEDINGS 3, 2010, : 341 - 345