Open AccessSystematic Mapping Study of Enterprise Resource Planning
Author(s) -
Salma Shofia Rosyda,
Erna Maulina,
Margo Purnomo
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2824.0610521
Subject(s) - scopus , enterprise resource planning , categorization , computer science , knowledge management , resource (disambiguation) , data science , scientific literature , process management , business , political science , medline , computer network , artificial intelligence , law , paleontology , biology
Enterprise resource planning needs to be maximizedin line with technological developments and circumstances thatcan change unexpectedly. The goal is to integrate businessprocesses to enhance collaboration. Organizational performanceand critical success factors have become important in enterpriseresource planning from 2011 to 2020. This article aims to classify,identify scientific publications, and thematic analysis of the latestliterature to create a broad and detailed understanding ofenterprise resource planning. The research method used is asystematic mapping study (SMS) to examine scientificpublications produced from time to time, types of research, andmethods. The SMS procedure follows established empiricalguidelines and the mapping data relies on the IEEE,ScienceDirect, and Scopus electronic databases. Based on theresults of SMS, it is known that 89 studies met the inclusioncriteria. 89 articles were classified by type of paper, method, focus,locus, and year of publication. Then, categorization andquantification of current studies are generated on variousdimensions, topic summaries, and current research trends.