Explorative TTF Perspective on ERP Systems and Data Quality Management Interdependencies

Proceedings of the 73rd Academy of Management Annual Meeting, Orlando, Florida, USA, August 9-13

Posted: 1 Aug 2013 Last revised: 9 Jan 2014

See all articles by Paul Glowalla

Paul Glowalla

University of Cologne

Ali Sunyaev

University of Cologne

Date Written: 2013

Abstract

Data quality management (DQM) gains importance due to the increasing amount and diversity of data as well as data’s critical impact on organizational success. Most organizations use enterprise resource planning (ERP) systems, establishing an enterprise-wide platform to integrate data and processes. There is a lack of sector-specific research of how ERP systems are used for DQM tasks in the insurance sector despite the sector’s specific characteristics. DQM plays a considerable role in the information-intensive insurance sector, with its numerous regulations, complex products and distribution structure. Following the task-technology fit (TTF) theory, we conducted semi-structured expert interviews in order to examine ERP systems’ use for DQM tasks and the interdependency of ERP systems and DQM. First, this paper shows that in the insurance sector, ERP systems are used to fulfill regulations and provide a starting point for data analysis. However, cultural and managerial challenges need to be addressed in order to lever the potential of diverse data for analysis. Second, we present a qualitative study applying the TTF theory. By doing so, we show that a qualitative application of TTF theory allows for rich insights and identifies potential causes of context-specific TTF problems. Furthermore, we present areas for further research on DQM and ERP systems and provide guidance for improving future use of ERP systems with respect to DQM.

Keywords: Task-technology fit theory, data quality, ERP system, insurance, regulations, solvency, data analysis, expert interviews

Suggested Citation

Glowalla, Paul and Sunyaev, Ali, Explorative TTF Perspective on ERP Systems and Data Quality Management Interdependencies (2013). Proceedings of the 73rd Academy of Management Annual Meeting, Orlando, Florida, USA, August 9-13. Available at SSRN: https://ssrn.com/abstract=2304644

Paul Glowalla (Contact Author)

University of Cologne ( email )

Pohligstr. 1
Cologne, 50969
Germany

Ali Sunyaev

University of Cologne ( email )

Albertus-Magnus-Platz
Cologne, 50923
Germany

HOME PAGE: http://www.isq.uni-koeln.de

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