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Supporting the module sequencing decision in the ERP implementation process--An application of the ANP method

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  • Hallikainen, Petri
  • Kivijärvi, Hannu
  • Tuominen, Markku

Abstract

The paper addresses the alignment between business processes and information technology in enterprise resource planning (ERP) implementation. More specifically, we concentrate on one of the key decisions at the tactical alignment level: the decision on the implementation sequence of the ERP modules. Since the module sequencing problem involves a myriad of organizational and technical issues, connected to each other in networked manner, the analytic network process (ANP) methodology is applied. As a result of the study, we present first a general level conceptual framework to sequence ERP module implementations and expand the model to a more detailed level in a case study. The priorities for the implementation sequence of the ERP modules are determined in the case study.

Suggested Citation

  • Hallikainen, Petri & Kivijärvi, Hannu & Tuominen, Markku, 2009. "Supporting the module sequencing decision in the ERP implementation process--An application of the ANP method," International Journal of Production Economics, Elsevier, vol. 119(2), pages 259-270, June.
    • Handle: RePEc:eee:proeco:v:119:y:2009:i:2:p:259-270
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    References listed on IDEAS

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    Cited by:

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    2. Valerica NESTIAN & Silvia ISTRATE & Maria NEAGU, 2019. "A Company Improvement Analysis using the AHP/ANP Methods and the Modern Technology," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 62-77.
    3. Kheybari, Siamak & Rezaie, Fariba Mahdi & Farazmand, Hadis, 2020. "Analytic network process: An overview of applications," Applied Mathematics and Computation, Elsevier, vol. 367(C).
    4. Ayağ, Zeki & Gürcan Özdemir, Rifat, 2012. "Evaluating machine tool alternatives through modified TOPSIS and alpha-cut based fuzzy ANP," International Journal of Production Economics, Elsevier, vol. 140(2), pages 630-636.
    5. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    6. Wu, Cheng-Shiung & Lin, Chin-Tsai & Lee, Chuan, 2010. "Optimal marketing strategy: A decision-making with ANP and TOPSIS," International Journal of Production Economics, Elsevier, vol. 127(1), pages 190-196, September.

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