Systematic Mapping Study of Enterprise Resource Planning
Salma Shofia Rosyda1, Erna Maulina2, Margo Purnomo3

1Salma Shofia Rosyda*, Student, Master of Business Administration Department, Faculty of Social and Political Sciences, Padjadjaran University, Bandung, Indonesia.
2Erna Maulina, Lecturer, Department of Business Administration, Faculty of Social and Political Sciences, Padjadjaran University, Bandung, Indonesia.
3Margo Purnomo, Lecturer, Department of Business Administration, Faculty of Social and Political Sciences, Padjadjaran University, Bandung, Indonesia. 

Manuscript received on June 03, 2021. | Revised Manuscript received on June 10, 2021. | Manuscript published on June 30, 2021. | PP: 331-337 | Volume-10 Issue-5, June 2021. | Retrieval Number: 100.1/ijeat.E28240610521 | DOI: 10.35940/ijeat.E2824.0610521
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Enterprise resource planning needs to be maximized in line with technological developments and circumstances that can change unexpectedly. The goal is to integrate business processes to enhance collaboration. Organizational performance and critical success factors have become important in enterprise resource planning from 2011 to 2020. This article aims to classify, identify scientific publications, and thematic analysis of the latest literature to create a broad and detailed understanding of enterprise resource planning. The research method used is a systematic mapping study (SMS) to examine scientific publications produced from time to time, types of research, and methods. The SMS procedure follows established empirical guidelines and the mapping data relies on the IEEE, ScienceDirect, and Scopus electronic databases. Based on the results of SMS, it is known that 89 studies met the inclusion criteria. 89 articles were classified by type of paper, method, focus, locus, and year of publication. Then, categorization and quantification of current studies are generated on various dimensions, topic summaries, and current research trends. 
Keywords: Enterprise Resource Planning, Systematic Mapping Study, SMS.