Enhancing ERP Responsiveness Through Big Data Technologies: An Empirical Investigation

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aut.relation.endpage275
aut.relation.issue1
aut.relation.journalInformation Systems Frontiers
aut.relation.startpage251
aut.relation.volume26
dc.contributor.authorBandara, Florie
dc.contributor.authorJayawickrama, Uchitha
dc.contributor.authorSubasinghage, Maduka
dc.contributor.authorOlan, Femi
dc.contributor.authorAlamoudi, Hawazen
dc.contributor.authorAlharthi, Majed
dc.date.accessioned2024-05-02T01:44:22Z
dc.date.available2024-05-02T01:44:22Z
dc.date.issued2023-02-18
dc.description.abstractOrganizations are integrating big data technologies with Enterprise Resource Planning (ERP) systems with an aim to enhance ERP responsiveness (i.e., the ability of the ERP systems to react towards the large volumes of data). Yet, organizations are struggling to manage the integration between the ERP systems and big data technologies, leading to lack of ERP responsiveness. For example, it is difficult to manage large volumes of data collected through big data technologies and to identify and transform the collected data by filtering, aggregating and inferencing through the ERP systems. Building on this motivation, this research examined the factors leading to ERP responsiveness with a focus on big data technologies. The conceptual model which was developed through a systematic literature review was tested using Structural equation modelling (SEM) performed on the survey data collected from 110 industry experts. Our results suggested 12 factors (e.g., big data management and data contextualization) and their relationships which impact on ERP responsiveness. An understanding of the factors which impact on ERP responsiveness contributes to the literature on ERP and big data management as well as offers significant practical implications for ERP and big data management practice.
dc.identifier.citationInformation Systems Frontiers, ISSN: 1387-3326 (Print); 1572-9419 (Online), Springer Science and Business Media LLC, 26(1), 251-275. doi: 10.1007/s10796-023-10374-w
dc.identifier.doi10.1007/s10796-023-10374-w
dc.identifier.issn1387-3326
dc.identifier.issn1572-9419
dc.identifier.urihttp://hdl.handle.net/10292/17503
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.relation.urihttps://link.springer.com/article/10.1007/s10796-023-10374-w
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBig data technologies
dc.subjectERP responsiveness
dc.subjectERP systems
dc.subjectStructural equation modelling
dc.subjectSystematic literature review
dc.subject46 Information and Computing Sciences
dc.subject3503 Business Systems In Context
dc.subject4609 Information Systems
dc.subject35 Commerce, Management, Tourism and Services
dc.subjectNetworking and Information Technology R&D (NITRD)
dc.subjectClinical Research
dc.subject0806 Information Systems
dc.subjectInformation Systems
dc.subject3503 Business systems in context
dc.subject4609 Information systems
dc.subject4610 Library and information studies
dc.titleEnhancing ERP Responsiveness Through Big Data Technologies: An Empirical Investigation
dc.typeJournal Article
pubs.elements-id493121
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