UNRAVELING THE KEY FACTORS OF SUCCESSFUL ERP POST IMPLEMENTATION IN THE INDONESIAN CONSTRUCTION CONTEXT

被引:0
|
作者
Genia V. [1 ]
Eitiveni I. [1 ]
Tirtayasa M.R. [2 ]
Wibowo W.S. [1 ]
Nugraha T.F. [1 ]
Nabarian T. [3 ]
机构
[1] University of Indonesia, Jakarta
[2] Institute of Technology, Bandung
[3] Nurul Fikri College of Technology, Depok
来源
关键词
enterprise resource planning; evaluation; information system success model; organizational impact; task technology fit;
D O I
10.28945/5177
中图分类号
学科分类号
摘要
Aim/Purpose This study aims to evaluate the success of ERP post-implementation and the factors that affect the overall success of the ERP system by integrating the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Background Not all ERP implementations provide the expected benefits, as post-implemen-tation challenges can include inflexible ERP systems and ongoing costs. There-fore, it is necessary to evaluate the success after ERP implementation, and this research integrates the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Methodology For data analysis and the proposed model, the authors used SmartPLS 3 by ap-plying the PLS-SEM test and one-tailed bootstrapping. The researchers distrib-uted questionnaires online to 115 ERP users at a construction company in In-donesia and successfully got responses from 95 ERP users. Contribution The results obtained will be helpful and essential for future researchers and In-formation System practitioners - considering the high failure rate in the use of ERP in a company, as well as the inability of organizations and companies to exploit the benefits and potential that ERP can provide fully. Findings The results show that Perceived Usefulness, User Satisfaction, and Task-Tech-nology Fit positively affect the Organizational Impact of ERP implementation. Recommendations for Practitioners The findings can help policymakers and CEOs of businesses in Indonesia's construction sector create better business strategies and use limited resources more effectively and efficiently to provide a considerably higher probability of ERP deployment. The findings of this study were also beneficial for ERP ven-dors and consultants. The construction of the industry has specific characteris-tics that ERP vendors should consider. Construction is a highly fragmented sec-tor, with specialized segments demanding specialist technologies. Several pro-jects also influence it. They can use them to identify and establish several alter-native strategies to deal with challenges and obstacles that can arise during the installation of ERP in a firm. Vendors and consultants can supply solutions, ar-chitecture, or customization support by the standard operating criteria, imple-ment the ERP system and train critical users. The ERP system vendors and consultants can also collaborate with experts from the construction sector to develop customized alternatives for construction companies. That would be the most outstanding solution for implementing ERP in this industry. Recommendations for Researchers Future researchers can use this combined model to study ERP post-implemen-tation success on organizational impact with ERP systems in other company in-formation systems fields, especially the construction sector. Future integration of different models can be used to improve the proposed model. Integration with models that assess the level of Information System acceptance, such as Technology Acceptance Model 3 (TAM3) or Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), can be used in future research to deepen the exploration of factors that influence ERP post-implementation success in an organization. Impact on Society This study can guide companies, particularly in the construction sector, to main-tain ERP performance, conduct training for new users, and regularly survey user satisfaction to ensure the ERP system's reliability, security, and perfor-mance are maintained and measurable. Future Research It is increasing the sample size with a larger population at other loci (private and state-owned) that use ERP to see the factors influencing ERP post-implementa-tion success and using mixed methods to produce a better understanding. With varied modes, it is possible to get better results by adding unique factors to the research, and future integration of other models can be used to improve the proposed model. © 2023 Informing Science Institute. All rights reserved.
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页码:513 / 545
页数:32
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