Integrating an ISO30401-compliant Knowledge management system with existing business processes of an organization
- URL: http://arxiv.org/abs/2507.18197v1
- Date: Thu, 24 Jul 2025 08:54:19 GMT
- Title: Integrating an ISO30401-compliant Knowledge management system with existing business processes of an organization
- Authors: Aline Belloni, Patrick Prieur,
- Abstract summary: ISO30401 is a Management System Standard, introduced in 2018, establishing universal requirements for the set up of a Knowledge Management System in an organization.<n>This article recaps process principles in the context of ISO and explores, based on our experience, how an ISO30401-compliant Knowledge Management System (KMS) entwines with all other processes of an Integrated Management System.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Business process modeling is used by most organizations as an essential framework for ensuring efficiency and effectiveness of the work and workflow performed by its employees and for ensuring the alignment of such work with its strategic goals. For organizations that are compliant or near-compliant with ISO 9001, this approach involves the detailed mapping of processes, sub-processes, activities, and tasks. ISO30401 is a Management System Standard, introduced in 2018, establishing universal requirements for the set up of a Knowledge Management System in an organization. As ``ISO30401 implementers'' we regularly face the challenge of explaining our clients how the knowledge development, transformation and conveyances activities depicted in ISO30401 do integrate with existing operational processes. This article recaps process modelling principles in the context of ISO9001 and explores, based on our experience, how an ISO30401-compliant Knowledge Management System (KMS) entwines with all other processes of an Integrated Management System and in particular how it can be implemented by deploying the mechanisms of the SECI model through the steps of PDCA cycles.
Related papers
- How Do Experts Make Sense of Integrated Process Models? [6.637963166503315]
In this study, we explore how expert process workers make sense of the information provided through integrated modeling approaches.<n>By studying expert process workers engaged in tasks based on integrated modeling of business processes and rules, we provide insights that pave the way for a better understanding of sensemaking practices.
arXiv Detail & Related papers (2025-05-27T03:32:28Z) - Business Process Modeling Using a Metamodeling Approach [0.0]
The thesis discusses topics related to the development of business process management systems.<n>The application of model driven development is required to deal with the complexity of business management systems.
arXiv Detail & Related papers (2025-04-02T09:46:54Z) - CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments [90.29937153770835]
We introduce CRMArena, a benchmark designed to evaluate AI agents on realistic tasks grounded in professional work environments.<n>We show that state-of-the-art LLM agents succeed in less than 40% of the tasks with ReAct prompting, and less than 55% even with function-calling abilities.<n>Our findings highlight the need for enhanced agent capabilities in function-calling and rule-following to be deployed in real-world work environments.
arXiv Detail & Related papers (2024-11-04T17:30:51Z) - Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots [54.55088169443828]
We introduce Cognitive Kernel, an open-source agent system towards the goal of generalist autopilots.<n>Unlike copilot systems, which primarily rely on users to provide essential state information, autopilot systems must complete tasks independently.<n>To achieve this, an autopilot system should be capable of understanding user intents, actively gathering necessary information from various real-world sources, and making wise decisions.
arXiv Detail & Related papers (2024-09-16T13:39:05Z) - The Foundations of Computational Management: A Systematic Approach to
Task Automation for the Integration of Artificial Intelligence into Existing
Workflows [55.2480439325792]
This article introduces Computational Management, a systematic approach to task automation.
The article offers three easy step-by-step procedures to begin the process of implementing AI within a workflow.
arXiv Detail & Related papers (2024-02-07T01:45:14Z) - Universal Information Extraction as Unified Semantic Matching [54.19974454019611]
We decouple information extraction into two abilities, structuring and conceptualizing, which are shared by different tasks and schemas.
Based on this paradigm, we propose to universally model various IE tasks with Unified Semantic Matching framework.
In this way, USM can jointly encode schema and input text, uniformly extract substructures in parallel, and controllably decode target structures on demand.
arXiv Detail & Related papers (2023-01-09T11:51:31Z) - Concepts and Algorithms for Agent-based Decentralized and Integrated
Scheduling of Production and Auxiliary Processes [78.120734120667]
This paper describes an agent-based decentralized and integrated scheduling approach.
Part of the requirements is to develop a linearly scaling communication architecture.
The approach is explained using an example based on industrial requirements.
arXiv Detail & Related papers (2022-05-06T18:44:29Z) - Augmented Business Process Management Systems: A Research Manifesto [21.55697634053682]
An ABPMS enhances the execution of business processes with the aim of making these processes more adaptable, proactive, explainable, and context-sensitive.
This manifesto presents a vision for ABPMSs and discusses research challenges that need to be surmounted to realize this vision.
arXiv Detail & Related papers (2022-01-30T16:03:37Z) - Towards an Integrated Conceptual Modelling Kernel for Business
Transaction Workflows [0.0]
The workflow concept, proliferated through the recently emergent computer supported cooperative work (CSCW) systems and workflow systems.
In this paper, a number of essential modelling concepts and features for business transaction are developed.
arXiv Detail & Related papers (2021-05-27T08:09:08Z) - Deploying Crowdsourcing for Workflow Driven Business Process [5.531452309322118]
The main goal of this paper is to discuss how to integrate the possibilities of crowdsourcing platforms with systems supporting workflow.
This work is an attempt to expand the functional capabilities of typical business systems by allowing selected process tasks to be performed by unlimited human resources.
arXiv Detail & Related papers (2021-01-04T18:57:21Z) - Towards CRISP-ML(Q): A Machine Learning Process Model with Quality
Assurance Methodology [53.063411515511056]
We propose a process model for the development of machine learning applications.
The first phase combines business and data understanding as data availability oftentimes affects the feasibility of the project.
The sixth phase covers state-of-the-art approaches for monitoring and maintenance of a machine learning applications.
arXiv Detail & Related papers (2020-03-11T08:25:49Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.