ERP Adoption as a Sustainability Driver: Critical Success Factors for Oracle NetSuite Implementation from an Implementer's Perspective in Indonesian Manufacturing
Description
This dataset supports the research paper "An Implementer's Perspective in the Manufacturing Sector on Critical Success Factors for Oracle NetSuite ERP Adoption," submitted to the International Conference on Sustainable Business and Economics (ICOSBE) 2026. The dataset contains anonymized semi-structured interview transcripts and MAXQDA 2024 analysis files from six senior Oracle NetSuite consultants and implementers at PS Global Consulting, an Oracle-certified partner operating across Indonesia, Singapore, Thailand, Malaysia, and Sri Lanka. Interviews were conducted in January 2026 in Bahasa Indonesia and have been transcribed and anonymized using participant codes (C1–C6) to protect informant identities. The MAXQDA project file contains the dual-layer coding structure (deductive and inductive layers), the full codebook of 30 codes across 18 sub-themes and four master themes, and 337 coded references derived from thematic analysis following Braun and Clarke's (2021) six-phase process. Keywords: enterprise resource planning, critical success factors, cloud ERP, technology acceptance model, system implementer, manufacturing sector, Oracle NetSuite, Indonesia
Files
Steps to reproduce
Data Analysis and Reproducibility Protocol The qualitative data in this repository were collected through three paired semi-structured interview sessions involving six specialized Oracle NetSuite ERP consultants. Data processing and thematic analysis were conducted using MAXQDA 2024. To ensure transparency and reproducibility, the following steps were taken: (1) All raw transcripts were systematically anonymized by replacing participant names and sensitive identifiers with unique codes (C1–C6) and redaction markers, which can be audited via the "Anonymous Names" code group in the provided project file. (2) The analysis followed a dual-layer coding framework, beginning with a deductive phase based on existing ERP literature, followed by an inductive phase to capture emergent manufacturing-specific implementation themes. (3) Users can replicate the thematic findings by loading the provided .mx24 project file into MAXQDA 2024, navigating to Reports > Codebook to view the 30-code hierarchy, and examining the 332 substantive coded segments. (4) Inter-coder reliability was established by comparing the inputs of three independent coders recorded within the project metadata. Researchers intending to replicate these findings should ensure the use of MAXQDA 2024 or later to maintain full compatibility with the project’s internal coding structure and metadata.
Institutions
- Binus UniversityJakarta, Jakarta