Abstract
Advancement in past decade in the area of computer hardware especially, and software has allowed cloud computing to become the focal point of future information system developments. Cloud business enablers are already driving innovation across customer value propositions and company and industry value chains. Enterprises are applying cloud to enhance their business processes, developing efficient collaboration between units and extending and inventing new customer value propositions. However, transforming the business processes to cloud is to be done based on a careful systematic analysis of enterprise’s business and technology needs and resources. We are conducting a systematic literature review to investigate the methods and concepts required to conduct BPM in the cloud. The objective of the paper is to research business process management concepts related to cloud BPM, business process architectures relevant to cloud BPM or implementing BPM in cloud. We intend to research emerging business process models and their impact on organizations. As organizations become more adapt at accepting business processes as services on the cloud, they undergo BPM technology infrastructure change compare to conventional architecture to execute business process.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Han, Y., Sun, J., Wang, G., Li, H.: The BPM architecture based on cloud computing. J. Comput. Sci. Technol. 25(6), 1157–1167 (2010)
Borremans, A.D., Zaychenko, I.M., Iliashenko, O.Y.: Digital economy. IT strategy of the company development. In: MATEC Web of Conferences, vol. 170, p. 010342017 (2017)
Lepekhin, A.A., Borremans, A.D., Iliashenko, O.Y.: Design and implementation of IT services as part of the “Smart City” concept. In: MATEC Web of Conferences, vol. 170, p. 01029 (2017)
Zota, R.-D., Fratila, L.-A.: Cloud standardization: consistent business processes and information. Inf. Econ. 17(3), 137–147 (2013). https://doi.org/10.12948/issn14531305/17.3.2013.12
Han, Y., Sun, J., Wang, G., Li, H.: A cloud-based BPM architecture with user-end distribution of non-compute - intensive activities and sensitive data. J. Comput. Sci. Technol. 25(6), 1157–1167 (2010)
Duipmans, E.F., Pires, L.F., Da Silva Santos, L.O.B.: Towards a BPM cloud architecture with data and activity distribution. In: 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops (EDOCW), 10–14 September 2012, pp. 165–171 (2012). https://doi.org/10.1109/edocw.2012.30
Ilin, I., Levina, A., Abran, A., Iliashenko, O.: Measurement of enterprise architecture (EA) from an IT perspective: research gaps and measurement avenues. In: ACM International Conference Proceeding Series Part F131936, pp. 232–243 (2017)
Berman, S.J., Kesterson-Townes, L., Marshall, A., Srivathsa, R.: How cloud computing enables process and business model innovation. Strategy Leadersh. 40(4), 27–35 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Levina, A., Novikov, A., Borremans, A. (2019). BPM as a Service Based on Cloud Computing. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 983. Springer, Cham. https://doi.org/10.1007/978-3-030-19868-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-19868-8_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19867-1
Online ISBN: 978-3-030-19868-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)