Toward a Model Undergraduate Curriculum for the Emerging Business Intelligence and Analytics Discipline

被引:0
|
作者
Mitri, Michel [1 ]
Palocsay, Susan
机构
[1] James Madison Univ, Dept Comp Informat Syst & Business Analyt, Coll Business, Comp Informat Syst, Harrisonburg, VA 22807 USA
关键词
Business Intelligence; Analytics; Model Curriculum; IS; 2010; ABET; AACSB; Accreditation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Business intelligence (BI) combined with business analytics (BA) is an increasingly prominent strategic objective for many organizations. As a pedagogical subject, BI/BA is still in its infancy, and, in order for this to mature, we need to develop an undergraduate model BI/BA curriculum. BI/BA as an academic domain is emerging as a hybrid of disciplines, including information systems, statistics, management science, artificial intelligence, computer science, and business practice/theory. Based on IS 2010's model curriculum constructs (Topi et al., 2010), we explore two curricular options: a BI/BA concentration in a typical IS major and a comprehensive, integrated BI/BA undergraduate major. In support, we present evidence of industry need for BI/BA, review the current state of BI/BA education, and compare anticipated requirements for BI/BA curricula with the IS 2010 model curriculum. For this initial phase of curricular design, we postulate a preliminary set of knowledge areas relevant for BI/BA pedagogy in a multi-disciplinary framework. Then we discuss avenues for integrating these knowledge areas to develop professionally prepared BI/BA specializations at the undergraduate level. We also examine implications for both AACSB and ABET accreditation and describe the next phase of applying the IS 2010 concept structure to BI/BA curriculum development.
引用
收藏
页码:651 / 669
页数:19
相关论文
共 50 条
  • [21] Effect of Business Intelligence and Analytics on Business Performance
    Kakhki, Mohammad Daneshvar
    Palvia, Prashant
    [J]. AMCIS 2016 PROCEEDINGS, 2016,
  • [22] Embracing Emerging Technologies and Artificial Intelligence into the Undergraduate Accounting Curriculum: Reflections from the UAE
    Qasim, Amer
    El Refae, Ghaleb A.
    Eletter, Shorouq
    [J]. JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2022, 19 (02) : 155 - 169
  • [23] INTEGRATING BUSINESS ETHICS INTO AN UNDERGRADUATE CURRICULUM
    BISHOP, TR
    [J]. JOURNAL OF BUSINESS ETHICS, 1992, 11 (04) : 291 - 299
  • [24] Population Health: Curriculum Framework for an Emerging Discipline
    Harris, Drew
    Puskarz, Katherine
    Golab, Caroline
    [J]. POPULATION HEALTH MANAGEMENT, 2016, 19 (01) : 39 - 45
  • [25] Business Intelligence education in Business Curriculum in China
    Ji, Hongen
    [J]. 2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2010), VOL 2, 2010, : 405 - 408
  • [26] Business Intelligence and Analytics: Research Directions
    Lim, Ee-Peng
    Chen, Hsinchun
    Chen, Guoqing
    [J]. ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, 2013, 3 (04)
  • [27] Customer Review Analytics for Business Intelligence
    Khedkar, Sujata Atul
    Shinde, Subash K.
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC 2018), 2018, : 265 - 269
  • [28] Business analytics approach to artificial intelligence
    Ines Gomez-Caicedo, Melva
    Gaitan-Angulo, Mercedes
    Bacca-Acosta, Jorge
    Brinez Torres, Carlos Yesid
    Cubillos Diaz, Jenny
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5
  • [29] BEYOND REPORTING IN BUSINESS INTELLIGENCE: INTELLIGENCE THROUGH ANALYTICS
    Pugna, Irina Bogdana
    Albescu, Felicia
    Sova, Robert
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ACCOUNTING AND MANAGEMENT INFORMATION SYSTEMS (AMIS 2011), 6TH EDITION, 2011, : 1110 - 1124
  • [30] Big Data Analytics for Business Intelligence
    Liang, Ting-Peng
    Guo, Xitong
    Shen, Kathy
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2018, 111 : 1 - 1