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Push and Pull Factors for Successful Implementation of ERP in SMEs Within Klang Valley: A Roadmap

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Computational Intelligence and Data Analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 142))

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Abstract

Enterprise Resource Planning (ERP) is an integrated system that is implemented by businesses to improve internal business processes to provide greater efficiency, automation, and cross-functional support across all business functions. Although widely adopted by multinational corporations, small and medium-sized enterprise (SME) adoption of the system is not as popular due to complexity of implementing such systems, resources needed to go through the process which SMEs are limited of, and failure factors can inhibit the successful implementation of ERP. Therefore, this paper sets up the roadmap to formulate the ERP implementation success model for SMEs within Klang Valley, which takes into account the push factors and pull factors that either enable or inhibit the successful implementation of ERP in SMEs within Klang Valley. The research will be employing qualitative methods as it intends to have in-depth discussion with a diverse set of experts from different walks of life. The research will also provide the research community and IT industry a better understanding on the factors that contribute to a successful implementation of ERP in SMEs, as well as provide ERP implementers a model that will guide them through real-world ERP implementation project in SMEs. The research will cover SMEs located within the Klang Valley, Malaysia.

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Acknowledgements

We are grateful to Multimedia University (MMU), Faculty of Management (FOM), and other individuals that have supported us throughout. This work is supported by MMU Grant “MMUI/210101.”

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Correspondence to Anusuyah Subbarao .

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Subbarao, A., Hareyana, A. (2023). Push and Pull Factors for Successful Implementation of ERP in SMEs Within Klang Valley: A Roadmap. In: Buyya, R., Hernandez, S.M., Kovvur, R.M.R., Sarma, T.H. (eds) Computational Intelligence and Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 142. Springer, Singapore. https://doi.org/10.1007/978-981-19-3391-2_46

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