Business value of in-memory technology - multiple-case study insights

Item Type Journal paper

Purpose - The purpose of this paper is to assess the business value of in-memory computing technology by analyzing its organizational impact in different application scenarios.

Design/methodology/approach - This research applies a multiple-case study methodology analyzing five cases of in-memory computing application scenarios in five large European industrial and service-sector companies.

Findings - Results show that in-memory computing can deliver business value in various applications ranging from advanced analytic insights to support of real-time processes. This enables higher-level organizational advantages like data-driven decision making, superior transparency of operations, and experience with Big Data technology. The findings are summarized in a business value generation model which captures the business benefits along with preceding enabling changes in the organizational environment.

Practical implications - Results aid managers in identifying different application scenarios where in-memory computing technology may generate value for their organizations from business and IT management perspectives. The research also sheds light on the socio-technical factors that influence the likelihood of success or failure of in-memory computing initiatives.

Originality/value - This research is among the first to model the business value creation process of in-memory technology based on insights from multiple implemented applications in different industries.

Paper type Case Study

Authors Bärenfänger, Rieke; Otto, Boris & Österle, Hubert
Research Team IWI 2, CC CDQ
Journal or Publication Title Industrial Management and Data Systems
Language English
Keywords In-memory computing, In-memory data management, Business value, Case study, Big Data
Subjects business studies
HSG Classification contribution to scientific community
HSG Profile Area SoM - Business Innovation
Refereed Yes
Date 2014
Publisher Emerald
Place of Publication Bradford
Volume 114
Number 9
Page Range 1396-1414
Number of Pages 19
ISSN 0263-5577
ISSN-Digital 1758-5783
Publisher DOI 10.1108/IMDS-07-2014-0212
Depositing User Rieke Bärenfänger
Date Deposited 10 Oct 2014 13:38
Last Modified 23 Aug 2016 11:20


Baerenfaenger et al._2014-Business value of in-memory technology - IMDS-07-2014-0212.pdf

Download (315kB) | Preview


Bärenfänger, Rieke; Otto, Boris & Österle, Hubert (2014) Business value of in-memory technology - multiple-case study insights. Industrial Management and Data Systems, 114 (9). 1396-1414. ISSN 0263-5577

Edit item Edit item