[AISWorld] CFP AMCIS 2017 Mini-Track: Business Analytics for Managing Organizational Performance (BAMOP)

[Benjamin Shao]

*Last Call - Paper Submissions due March 1, 2017*

AMCIS 2017 Mini-Track Call for Paper
Business Analytics for Managing Organizational Performance (BAMOP)



Detailed information is available at https://urldefense.proofpoint.com/v2/url?u=https-3A__amcis2017.aisnet.org_&d=DQIGaQ&c=AGbYxfJbXK67KfXyGqyv2Ejiz41FqQuZFk4A-1IxfAU&r=2R9xAePK3QPgfd4plsiXxrwSLPFUn5S9Ia1OqXvxXZw&m=ljMddU6b8WkDEJ2D_oxFEkExtWypmfgcsWSXrFxw68Q&s=hVFeVs4RQowSLish4lAFcrBa9BKmz2aXytkLjt-vMeA&e or contact the mini-track chairs.

Description of the Mini-Track:

The goal of business analytics (BA) is to summarize massive amounts of disparate corporate and customer data into succinct information that can help management better understand their business processes, make informed decisions, and measure and improve organizational performance. BA can provide managers with the ability to integrate enterprise-wide data into metrics that link specific objectives to the performance of different business units. In today's hypercompetitive environment, accurate real-time BA metrics are even more critical for measuring and enhancing organizational performance. Many technologies contribute to BA solutions, including databases, data warehouses, data marts, analytic processing, social analytics, and data mining, among others. BA needs to acquire data from multiple platforms and provide ubiquitous access. This requirement to leverage so-called "big data" presents numerous managerial challenges. This mini-track aims to promote innovative research in the BA domains of organizational performance measurement and improvement.

Suggested topics:

  *   Real-time business metrics for performance measurement
  *   Using BA to support the "balanced scorecard"
  *   Developing the data warehouse to support "digital dashboards"
  *   Deploying the data warehouse to "democratize" BA
  *   Critical BA success factors for management control
  *   Analytical processing
  *   Techniques for summarizing data
  *   Assessing organizational performance using BA metrics
  *   Information extraction and report generation
  *   Real-time decision making
  *   Online analytical processing (modelling)
  *   Business performance management (BPM) and improvement
  *   Economic analysis of business analytics
  *   Business analytics strategies
  *   Business analytics performance metrics
  *   BA governance, implementation, and management
  *   Vigilant information systems
  *   Leveraging big data for performance improvement
  *   Summarizing and visualizing organizational performance metrics
  *   Social analytics on organizational performance management

Mini-Track Co-Chairs:

Dr. Benjamin Shao, Arizona State University
ben.shao at asu.edu<mailto:ben.shao at asu.edu>
(480) 727-6790

Dr. Robert D. St. Louis, Arizona State University
st.louis at asu.edu<mailto:st.louis at asu.edu>
(480) 965-1440