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Revisiting enterprise resource planning (ERP) risk factors over the past two decades: defining parameters and providing comprehensive classification

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Abstract

Despite the development of enterprise resource planning (ERP) deployments in the last two decades, organizations have also faced with implementation challenges. The present study provides a comprehensive categorization of these factors and the effective parameters using a meta-synthesis approach and with a systematic review of implementation risk factors and failure/success factors in the ERP literature. The most important factors were: Management of key stakeholder participation, project management and process management. The primary outcomes of this study which give it credit compared to similar reports were: (i) a new framework for ERP risk factors and their affecting parameters were introduced; (ii) a comprehensive ERP implementation checklist was attained; (iii) for the first time, parameters affecting ERP risk factors were identified and analyzed into organizational and national groups. Ultimately, organizational structure, IT maturity, human resources, organizational culture, and previous related experiences towards ERP were the most critical changeable organizational parameters that were recognized.

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Authors and Affiliations

  1. National Library and Archives of Iran, Tehran, Iran

    Babak Zendehdel Nobari

  2. Department of Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran

    Adel Azar

  3. Department of Manufacturing Engineering, K.N. Toosi University of Technology, Tehran, Iran

    Mehrdad Kazerooni

  4. College of Management, Shenzhen University, Shenzhen, People’s Republic of China

    Pianpian Yang

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  1. Babak Zendehdel Nobari
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  2. Adel Azar
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  4. Pianpian Yang
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Correspondence to Babak Zendehdel Nobari.

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Zendehdel Nobari, B., Azar, A., Kazerooni, M. et al. Revisiting enterprise resource planning (ERP) risk factors over the past two decades: defining parameters and providing comprehensive classification. Int. j. inf. tecnol. 14, 899–914 (2022). https://doi.org/10.1007/s41870-020-00502-z

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