• MSc(ECom&IComp) Intranet
  • HKU Portal
  • Site Map
ECIC Logo HKU Website School of Computing and Data Science Website MSc(ECom&IComp) Website
  • About the Programme
    • Mission
    • Message from Programme Director
    • Faculty
    • About HKU
  • Admission
    • Entrance Requirements
    • Application Procedures
    • Information Sessions
    • Student Profile
    • Words from Our Graduates
    • F.A.Q.
  • Curriculum
    • Curriculum Structure
    • Class Schedule
    • Course Description
    • Regulations
  • Graduates & Alumni
    • Graduate Directory
    • MEICOM Alumni Association
    • Career Prospect
    • Student & Alumni Activities
  • News and Events
    • News and Events
  • Student Resources
    • Learning Environment
    • HKU Portal
    • MSc(ECom&IComp) Student Homepage
    • MSc(ECom&IComp) Course Enrolment System
  • For Prospective Students
  • For Graduates & Alumni
  • For Current Students & Staff
  • For Visitors

  • Home

MONTGOMERY, Alan

MBA and PhD, University of Chicago, Chicago
Instructor Image-MONTGOMERY, Alan

MONTGOMERY, Alan

Professor of Marketing at the Tepper School of Business, Carnegie Mellon University
Visiting Professor, School of Computing and Data Science, HKU

Professor Alan L. Montgomery received his M.B.A. and Ph.D. in Business from the University of Chicago in 1994.  Since 1999 he has been a professor of marketing at the Tepper School of Business, Carnegie Mellon University, and has taught courses in eMarketing, Pricing, Business Analytics and Data Science.  Previously, he was an assistant professor of marketing at the Wharton School of the University of Pennsylvania.

His fields of interest include electronic commerce, the analysis of clickstream data, micro-marketing, pricing, and data mining.  Professor Montgomery's research on electronic commerce has recently focused on how to predict browsing patterns and purchase conversion for online consumers using clickstream data.  Some current research projects include user profiling, the design of shopbots, creating self-organizing marketplaces with peer-to-peer systems, customization of pricing strategies to micro-markets, automated approaches to the analysis of sales data, new methodologies for estimating consumer price sensitivity, and forecasting time series using non-linear models.

Contact us

MSc Programme Office
School of Computing and Data Science, HKU

7/F, Pacific Plaza
418 Des Voeux Road West
Western District, Hong Kong
(near HKU MTR Station Exit B2)

Tel: (852) 3917 1828

Email: msc@ecom-icom.hku.hk

Website URL: http://www.ecom-icom.hku.hk/

Office Hours: Weekdays (Mon - Fri) 9:00am - 12:30pm, 1:30pm - 5:00pm

Weekend (Sat) 9:00am - 12:00pm

About the Programme

  • Mission
  • Message from Programme Director
  • Faculty
  • About HKU

Admission

  • Entrance Requirements
  • Application Procedures
  • Information Sessions
  • Student Profile
  • Words from Our Graduates
  • F.A.Q.

Curriculum

  • Curriculum Structure
  • Class Schedule
  • Course Description
  • Regulations

Graduates & Alumni

  • Graduate Directory
  • MEICOM Alumni Association
  • Career Prospect
  • Student & Alumni Activities
ECIC Logo
  • Facebook
  • Tweet

Copyright © School of Computing and Data Science , The University of Hong Kong. All Rights Reserved. Privacy Statement