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Value Propositions of Personal Digital Assistants for Process Knowledge Transfer

Value Propositions of Personal Digital Assistants for Process Knowledge Transfer

Paula Elsensohn, Mara Burger, Marleen Voß, and Jan vom Brocke
This study investigates the value propositions of Personal Digital Assistants (PDAs), a type of AI tool, for improving how knowledge about business processes is transferred within organizations. Using qualitative interviews with professionals across diverse sectors, the research identifies nine specific benefits of using PDAs in the context of Business Process Management (BPM). The findings are structured into three key dimensions: accessibility, understandability, and guidance.

Problem In modern businesses, critical knowledge about how work gets done is often buried in large amounts of data, making it difficult for employees to access and use effectively. This inefficient transfer of 'process knowledge' leads to errors, inconsistent outcomes, and missed opportunities for improvement. The study addresses the challenge of making this vital information readily available and understandable to the right people at the right time.

Outcome - The study identified nine key value propositions for using PDAs to transfer process knowledge, grouped into three main categories: accessibility, understandability, and guidance.
- PDAs improve accessibility by automating tasks and enabling employees to find knowledge and documentation much faster than through manual searching.
- They enhance understandability by facilitating user education, simplifying the onboarding of new employees, and performing context-aware analysis of processes.
- PDAs provide active guidance by offering real-time process advice, helping to optimize and standardize workflows, and supporting better decision-making with relevant data.
Personal Digital Assistant, Value Proposition, Process Knowledge, Business Process Management, Guidance