Success factors for implementing Business Analytics in small and medium enterprises in the food industry
- In an increasingly changing market environment, the long-term survival of companies depends on their ability to reduce latencies in adapting to new market conditions. One strategy to meet this challenge is the anchoring of data-driven decision making, which leads to an increasing use of advanced information technologies and, subsequently, to an increase in the amount of data stored. The complexity of processing these data spurred the demand for advanced statistical methods and functions called Business Analytics. Companies are, despite all promised benefits, overwhelmed with the implementation of Business Analytics as indicated by a failure rate of 65 to 80 %. This paper provides an empirically validated, multi-dimensional model that takes an integrative look at critical success factors for the implementation of Business Analytics and based on which management recommendations can be generated. For this purpose, constructs of the model are conceptualized, before a structural equation model is developed. This model is then validated with data from 69 industrial partners in the food industry. It is shown amongst others, that the three success factors top management support, IT infrastructure and system quality are pivotal to increase the company performance.
Author: | Jonas Müller, Günther SchuhORCiDGND, Dustin Meichsner, Gerhard GuderganGND |
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URL: | https://ieeexplore.ieee.org/document/9380609 |
DOI: | https://doi.org/10.1109/ICTMOD49425.2020.9380609 |
ISBN: | 978-1-7281-5950-8 |
ISSN: | 2159-5119 |
Parent Title (English): | [Proceedings] 2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) |
Publisher: | IEEE |
Place of publication: | Piscataway (NJ) |
Document Type: | Conference Proceeding |
Language: | English |
Date of Publication (online): | 2022/09/13 |
Date of first Publication: | 2020/12/04 |
Release Date: | 2022/09/13 |
Tag: | Business Analytics; critical success factors; food industry; small and medium enterprises; structural equation modeling |
Page Number: | 8 |
FIR-Number: | SV7508 |
Name of the conference: | 2020 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD) |
place of the conference: | Marrakesch |
Date of the conference: | 24.-27. November 2020 |
Institute / Department: | FIR e. V. an der RWTH Aachen |
Business Transformation | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften |