The Adoption of Enterprise Resource Planning and Business Intelligence Systems in Small and Medium Enterprises: A Conceptual Framework
Jiehui Zheng,
Haliyana Khalid and
Naeem Jan
Mathematical Problems in Engineering, 2022, vol. 2022, 1-15
Abstract:
The widespread globalism of services and the fast technological progress brought about by IT have made organizations today competitive in offering new products and services. One of the highlighted innovations is the enterprise resource planning and business intelligence system (ERPB), which has captivated the interest of industry analysts and policymakers due to its potential to provide more intellectual information for decision making and ensure its continuity. Firms must use ERPBI appropriately to flourish, as its misuse leads to failure. Even though research has focused on the factors influencing ERPBI adoption, most studies have ignored many factors that influenced the behavioral intention to adopt variable that significantly affects the adoption and use of technology. Ensuring the proper adoption of ERPBI is critical to corporate success. If ERPBI is misused, this will not serve its objective. Although a few studies have studied factors affecting the success of ERPBI adoption, the majority have failed to discover drivers of continuity and sustainability. This article proposed a conceptual framework for ERPBI adoption using the TOE and UTAUT models. Four main hypotheses were formulated for the three dimensions of technology, organization, and environment. The proposed framework is vital in adopting the ERPBI and could shape the direction in successfully adopting new technologies in SMEs. This study could fill in the gap in ERPBI research because previous studies have not focused on ERPBI adoption factors, ERPBI adoption, and business continuity.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/1829347.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/1829347.xml (application/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1829347
DOI: 10.1155/2022/1829347
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().