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Emerging Interactions of ERP Systems, Big Data and Automotive Industry

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Advances in Software Engineering, Education, and e-Learning

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Abstract

Interactions of enterprise resource planning systems and big data are crucial for the automotive industry in the process of quick and reliable decision-making with the use of large chunks of data collected by each department of the organization. Similarly, unstructured data collected by sensor systems need proper control of data to put out the best results combined with automation. This study adopts a systematic literature review conducted mainly under three phases in order to give a robust combination between the three areas, i.e. ERP systems, big data and automotive industry. The three phases are determining the combination between the enterprise resource planning systems and big data and individually explaining their interaction with the automotive industry. This study has been able to identify the strict influence of large chunks of data on the automotive industry such as data management issues, trust issues and complexity in the responsiveness of enterprise resource planning systems. It is recognized that the main reasons for the emergence of complexity in the responsiveness of enterprise resource planning systems are the unstructured data collected by sensors of emerging concepts such as connected cars and the eventual automation of automobile functions. The study depicts the major influence of an enterprise resource planning system in order to centralize the entire organization whilst a large amount of structured and unstructured data collected.

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Author information

Authors and Affiliations

  1. School of Business and Economics, Loughborough University, Loughborough, UK

    Florie Bandara & Uchitha Jayawickrama

Authors
  1. Florie Bandara
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  2. Uchitha Jayawickrama
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Correspondence to Uchitha Jayawickrama .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Georgia, Athens, GA, USA

    Hamid R. Arabnia

  2. School of Computing and Data Sciences, Wentworth Institute of Technology, Boston, MA, USA

    Leonidas Deligiannidis

  3. Facultad de Informática - CIC PBA, National University of La Plata, La Plata, Argentina

    Fernando G. Tinetti

  4. Department of Computer Science, Southeastern Louisiana University, Hammond, LA, USA

    Quoc-Nam Tran

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Bandara, F., Jayawickrama, U. (2021). Emerging Interactions of ERP Systems, Big Data and Automotive Industry. In: Arabnia, H.R., Deligiannidis, L., Tinetti, F.G., Tran, QN. (eds) Advances in Software Engineering, Education, and e-Learning. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70873-3_62

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  • DOI: https://doi.org/10.1007/978-3-030-70873-3_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70872-6

  • Online ISBN: 978-3-030-70873-3

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