Industrial Management & Data Systems: Volume 101 Issue 1

Subjects:

Table of contents

Hierarchical forecasting: issues and use guidelines

Gene Fliedner

In order to provide the appropriate demand forecast information given various managerial levels and functional disciplines within organizations, reliance on family‐based…

3173

IT induction in the food service industry

P. Pete Chong, Ye‐Sho Chen, Jason Chou‐Hong Chen

As part of the business strategy in a competitive environment, for an organization to induct information technology (IT) appropriately, business process reengineering (BPR) must…

4669

Managing dirty data in organizations using ERP: lessons from a case study

Jodi Vosburg, Anil Kumar

The integrity of the data used to operate and make decisions about a business affects the relative efficiency of operations and quality of decisions made. Protecting that…

4679

Commerce at light speed – an international comparative evaluation of CALS strategy and implementation in the USA and Japan

Tony Holden, Ruth A. Schmidt

This article reports on and compares early activity in the area of electronic business in the USA and Japan arising from the introduction of the Continuous Acquisition and…

A review of data mining techniques

Sang Jun Lee, Keng Siau

Terabytes of data are generated everyday in many organizations. To extract hidden predictive information from large volumes of data, data mining (DM) techniques are needed…

15184

Strategic partnering when the supply base is limited: a case study

Festus Olorunniwo, Tony Hartfield

This study considers a supply‐demand situation where a product has only a handful of supply firms and a large number of purchasing firms and compares the attitudes toward…

1107
Cover of Industrial Management & Data Systems

ISSN:

0263-5577

Renamed from:

Industrial Management

Online date, start – end:

1980

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editors:

  • Dr Alain Yee Loong Chong
  • Prof Hing Kai Chan