Abstract
The Enterprise Resource Planning (ERP) implementation is a complex and active process, one that involves a mixture of technological and organizational interactions. Often it is the largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Concept of an ERP implementation supporting business processes across different departments in organization is not a generic, rigid and uniform process - it is a vivid one and depends on number of different factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore, ERP implementation process receives profound attention from practitioners and scholars in academic or industry papers. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods/methodologies used during the configuration and the implementation of ERP systems; even though they are commonly used in practice, they still remain largely undocumented in Information Systems research domain. This paper aims to provide insight from practice (SAP ERP implementation team up with 20 SAP consultants including authors of this paper) regarding the agile engineering practices in ERP implementation process. One of stubbornly persists belief was that ERP systems cannot be part of agile development due to their complexity and nature. However, it is becoming obvious that agile engineering practices will not be anymore exclusively linked to software development as SAP (biggest world ERP vendor) recently introduced its first agile ERP implementation methodology named SAP Activate Methodology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abrahamsson, P., Salo, O., Ronkainen, J., Warsta, J.: Agile Software Development (2002)
Aiken, L.S., West, S.G.: Multiple Regression: Testing and Interpreting Interactions. Sage, Newbury Park (1992)
Akgün, A.E., Byrne, J., Keskin, H.: Knowledge networks in new product development projects: a transactive memory perspective. Inf. Manag. 42, 1105–1120 (2005)
Akgün, A.E., Keskin, H., Byrne, J., Imamoglu, S.Z.: Antecedents and consequences of team potency in software development projects. Inf. Manag. 44, 646–656 (2007)
Al-Fatish, F., Roemer, M., Fassunge, M., Reinstorf, T., Staader, J.: ASE: Immer busser mit starken Teams! Agile Software Engineering bei der SAP. Object Spectr. 1 (2011)
Anderson, D.J.: Agile Management for Software Engineering: Applying the Theory of Constraints for Business Results. The Coad Series. Prentice Hall, Upper Saddle River (2004)
Andreessen, M.: Why software is eating the world. Wall Street J. (2011)
Argote, L.: Input uncertainty and organizational coordination in hospital emergency units. Adm. Sci. Q. 27, 420–434 (1982)
Baccarini, D.: The concept of project complexity: a review. Int. J. Project Manag. 14, 201–204 (1996)
Balijepally, V.G., Mahapatra, R.K., Nerur, S., Price, K.H.: Are two heads better than one for software development? The productivity paradox of pair programming. Manag. Inf. Syst. Q. 33, 91–118 (2009)
Jalali, S., Wohlin, C.: Global software engineering and agile practices: a systematic review. J. Softw.: Evol. Process 24, 643–659 (2012)
Glogler, B.: Scrum and ERP: do they go together? Industry Whitepaper (2014). https://borisgloger.com/wpcontent/uploads/2014/07/Whitepaper_Scrum_and_ERP_en.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Kraljić, A., Kraljić, T. (2018). Agile Software Engineering Practices and ERP Implementation with Focus on SAP Activate Methodology. In: Zdravkovic, J., Grabis, J., Nurcan, S., Stirna, J. (eds) Perspectives in Business Informatics Research. BIR 2018. Lecture Notes in Business Information Processing, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-319-99951-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-99951-7_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99950-0
Online ISBN: 978-3-319-99951-7
eBook Packages: Computer ScienceComputer Science (R0)