Sociotechnical Assessment Of Risks In The Use Of Business Analytics
- The use of Business Analytics (BA) helps to improve the quality of decisions and reduces reaction latencies, especially in uncertain and volatile market situations. This expectation leads a continuously rising number of companies to make large investments in BA. The successful use of Business Analytics is increasingly becoming a differentiator. At the same time, the use of BA is not trivial, rather, it is subject to high socio-technical requirements. If these are not addressed, high risks arise that stand in the way of successful use. In particular, it is important to consider the risks in relation to the different types of BA in a differentiated way. So far, there is a lack of suitable approaches in the literature to consider these type-specific risks with regard to the socio-technical dimensions: people, technology, and organization. This paper addresses this gap by initially identifying risks in the use of Business Analytics. For this purpose, possible risks are identified using a systematic literature review and verified with a Delphi survey with various partners experienced in dealing with BA. Subsequently, the identified and validated risks are assigned to three different types of Business Analytics (Descriptive, Predictive and Prescriptive Analytics) and assessed in order to systematically address and reduce the risks. The result of this paper is an overview of the interactions between the socio-technically assigned risks, summarized in a risk catalog, and the different types of Business Analytics.
Author: | Jonas Müller, Gina Hermes, Gerrit Hoeborn, Volker StichORCiDGND |
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URL: | https://www.repo.uni-hannover.de/handle/123456789/13570 |
DOI: | https://doi.org/10.15488/13460 |
Parent Title (English): | Proceedings of the Conference on Production Systems and Logistics: CPSL 2023 |
Publisher: | publish-Ing. |
Place of publication: | Hannover |
Editor: | D. Herberger, M. Hübner, Volker Stich |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2023/05/03 |
Date of first Publication: | 2023/04/20 |
Release Date: | 2023/05/03 |
Tag: | rev Business Analytics; Risk Assessment; Risks; Sociotechnical; Type-specific |
First Page: | 417 |
Last Page: | 427 |
FIR-Number: | SV7683 |
Name of the conference: | 4th Conference on Production Systems and Logistics (CPSL) |
place of the conference: | Santiago de Queretaro, Mexico |
Date of the conference: | 28.02.2023-03.03.2023 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Business Transformation | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |
Licence (German): | ![]() |