Semantic Technologies In Idea Management Systems A Model For Interoperability Linking And Filtering
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Semantic Technologies in Idea Management Systems: A Model for Interoperability, Linking and Filtering
Idea Management Systems are web applications that implement the notion of open innovation though crowdsourcing. Typically, organizations use those kind of systems to connect to large communities in order to gather ideas for improvement of products or services. Originating from simple suggestion boxes, Idea Management Systems advanced beyond collecting ideas and aspire to be a knowledge management solution capable to select best ideas via collaborative as well as expert assessment methods. In practice, however, the contemporary systems still face a number of problems usually related to information overflow and recognizing questionable quality of submissions with reasonable time and effort allocation. This thesis focuses on idea assessment problem area and contributes a number of solutions that allow to filter, compare and evaluate ideas submitted into an Idea Management System. With respect to Idea Management System interoperability the thesis proposes theoretical model of Idea Life Cycle and formalizes it as the Gi2MO ontology which enables to go beyond the boundaries of a single system to compare and assess innovation in an organization wide or market wide context. Furthermore, based on the ontology, the thesis builds a number of solutions for improving idea assessment via: community opinion analysis (MARL), annotation of idea characteristics (Gi2MO Types) and study of idea relationships (Gi2MO Links). The main achievements of the thesis are: application of theoretical innovation models for practice of Idea Management to successfully recognize the differentiation between communities, opinion metrics and their recognition as a new tool for idea assessment, discovery of new relationship types between ideas and their impact on idea clustering. Finally, the thesis outcome is establishment of Gi2MO Project that serves as an incubator for Idea Management solutions and mature open-source software alternatives for the widely available commercial suites. From the academic point of view the project delivers resources to undertake experiments in the Idea Management Systems area and managed to become a forum that gathered a number of academic and industrial partners.
Knowledge Governance And Learning For Organizational Creativity And Transformation
Author: Patricia De Sa Freire
language: en
Publisher: World Scientific
Release Date: 2021-08-24
Today Learning Organizations are shaped by collective knowledge and the existence of teams and groups of people that are continuously developing their capacity and ability to create results. Knowledge-based organizations understand the importance of continually learning at all levels and facilitate learning for their members through empowering people, encouraging collaboration, and promoting open dialogue. Organizational management issues have become strategic and fundamental in the collection and sharing of data and information and are recognized as challenging to both public and private organizations around the world. This has created the need to knowledge governance mechanisms to support Knowledge Management practices in organizations.For this governance, the mechanisms and procedures that encompass Knowledge Management, advancing beyond the traditional Corporate Governance (CorpGov) model, have been consolidated into a new governance model described as Knowledge Governance (KGov). Such model considers the processes of the knowledge related to the use, creation, retention, integration and sharing. In order to implement governance, it is essential to develop competencies and establish corporate policies and structures focusing on respect for common interests and collective goals. In this context, mechanisms must be created for the creation, sharing, storage and transfer of knowledge, making changes happen in synergy and adding value to the organization as a whole.The book covers the newly emerging area of knowledge governance and Learning Organizations and expands our understanding of Learning Organizations and their ability to acquire, create and share knowledge while continually examining organizational behavioral issues affecting their productivity.
Decision-making Tools to Support Innovation
Scientific thinking concerning the way in which we drive innovation has been widely developed in recent years. It is known that the process of innovation consists of a succession of decision-making processes that require simultaneous technical, economical, organizational and sustainable compromises. Indeed, all innovative activities in business require stakeholders to seek out the best compromise between various, often contradictory dimensions of the same problems. Through studying practical cases from various fields (e.g. energy, marketing and sustainable development), this book addresses all the stages of the innovation process, highlighting some of the main decisions that can be faced by organizations. Based on the historical research conducted at the ERPI Laboratory (University of Lorraine) in Nancy, France, this book presents six innovation practices: strategy, creativity, design, project management, human resources and capitalization of knowledge. These practices are then illustrated through examples of decision support methods' applications.