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Bringing value-based business process management to the operational process level

Title data

Bolsinger, Manuel:
Bringing value-based business process management to the operational process level.
In: Information Systems and e-Business Management. Vol. 13 (May 2015) Issue 2 . - pp. 355-398.
ISSN 1617-9854
DOI: https://doi.org/10.1007/s10257-014-0248-1

Official URL: Volltext

Abstract in another language

For years, improving processes has been a prominent business priority for Chief Information Officers. As expressed by the popular saying, "If you can’t measure it, you can’t manage it,"process measures are an important instrument for managing processes and corresponding change projects. Companies have been using a value-based management approach since the 1990s in a constant endeavor to increase their value. Value-based business process management introduces value-based management principles to business process management and uses a riskadjusted expected net present value as the process measure. However, existing analyses of this issue operate at a high (i.e., corporate) level, hampering the use of value-based business process management at an operational process level in both research and practice. Therefore, this paper proposes a valuation calculus that brings value-based business process management to the operational process level by showing how the risk-adjusted expected net present value of a process can be determined. We demonstrate that the valuation calculus provides insights into the theoretical foundations of processes and helps improve the calculation capabilities of an existing process-modeling tool.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Value-Based Business Process management; Process Modeling; Process Measure;
Net Present Value; Certainty Equivalent; Expected Value; Variance
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 11 Jan 2018 09:26
Last Modified: 11 Jan 2018 09:26
URI: https://eref.uni-bayreuth.de/id/eprint/41622