Loading...
Text mining with emergent self organizing maps and multi-dimensional scaling: A comparative study on domestic violence.
Poelmans, Jonas Van Hulle, Marc Viaene, Stijn Elzinga, Paul Dedene, Guido (+)
Poelmans, Jonas
Van Hulle, Marc
Viaene, Stijn
Elzinga, Paul
Dedene, Guido (+)
Citations
Altmetric:
Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2011
Journal
Applied Soft Computing
Book
Publication Volume
11
Publication Issue
4
Publication Begin page
3870
Publication End page
3876
Publication NUmber of pages
Collections
Abstract
This paper shows how collective worker participation and leadership style influence the emergence of operational improvements during the design process of a time-driven activity-based costing (ABC) system in a case study setting. In particular, in the case company, the costing project was initiated at different warehouses, which allowed us to distinguish two types of design processes. With the first type, the participation of all organizational members, especially at the lowest levels, fostered dialogue about the input parameters of the costing model. In addition, when these discussions about costing data were held in groups guided by a superior with a considerate, people-oriented leadership style, operational improvements appeared. With the second type, operational employees were not involved in the design process, they feared the new costing system, because it was used to enforce compliance, and no operational improvements emerged. Hence, the case findings suggest that, for operational improvements to appear during the design process of a time-driven ABC system, collective worker participation and appropriate leadership styles are indispensable.
Research Projects
Organizational Units
Journal Issue
Keywords
Science & Technology, Computer Science, Artificial Intelligence, Computer Science, Interdisciplinary Applications, Emergent self organizing map (ESOM), Multi-dimensional scaling (MDS), Domestic Violence, Exploratory Data Analysis, Knowledge Discovery in Databases, Text Mining, Artificial Intelligence & Image Processing