The Relationship between Fuzzy Reasoning and Its Temporal Characteristics for Knowledge Management

The knowledge management systems based on artificial reasoning (KMAR) tries to provide computers the capabilities of performing various intelligent tasks for which their human users resort to their knowledge and collective intelligence. There is a need for incorporating aspects of time and imprecision into knowledge management systems, considering appropriate semantic foundations. The aim of this paper is to present the FRTES, a real-time fuzzy expert system, embedded in a knowledge management system. Our expert system is a special possibilistic expert system, developed in order to focus on fuzzy knowledge.Knowledge Management, Artificial Reasoning, predictability

PERAN MEKANISME GOOD CORPORATE GOVERNANCE DAN BUDAYA ORGANISASI DALAM MENCIPTAKAN KECERDASAN KOLEKTIF UNTUK MENINGKATKAN KEUNGGULAN BERSAING DAN KINERJA BERKELANJUTAN (Studi Pada Perusahaan Publik yang Terdaftar di Bursa Efek Indonesia)

This study examined the role of good corporate governance mechanisms and corporate culture in creating a collective intelligence that will drive competitive advantage and sustainable performance based on the Resource Based View and agency theory. The GCG mechanism is proxied by board independence, managerial ownership, performance-based compensation system and corporate social responsibility. This study proposed a new proposition that is the collective intelligence which is proxied with ethical business innovation and harmonious collaboration. This study empirically tested two models with 16 hypotheses. The first empirical model examined the relation between GCG mechanisms, corporate culture, knowledge management, collective intelligence and business performance. The second empirical model examined the relation between GCG mechanisms, corporate culture, knowledge management, collective intelligence and social performance. The data was collected by mail survey of public companies listed on the Indonesian Stock Exchange that represented by the ranks of top management. Testing hypotheses using structural equation modeling and lead to the conclusion that the GCG mechanism is able to create a collective intelligence that can drive competitive advantage and sustainable performance. Strategic research findings suggest that board independence is more powerful in creating ethical business innovations that will enhance ethical business best practice and ultimately drive business performance. While corporate social responsibility is more powerful in creating harmonious collaboration that will enhance the reputation and ultimately encourage corporate social performance. Creativity is a dimension of corporate culture that is more powerful influencing knowledge creation that can promote ethical business innovation, while empowerment is more powerful influencing knowledge sharing that can encourage harmonious collaboration. Thus, the collective intelligence that proxied with ethical business innovation and harmonious collaboration can explain the relationship between good corporate governance mechanisms and sustainable performance

On a Java based implementation of ontology evolution processes based on Natural Language Processing

An architecture was described Burzagli et al. (2010) that can serve as a basis for the design of a Collective Knowledge Management System. The system can be used to exploit the strengths of collective intelligence and merge the gap that exists among two expressions of web intelligence, i.e., the Semantic Web and Web 2.0. In the architecture, a key component is represented by the Ontology Evolution Manager, made up with an Annotation Engine and a Feed Adapter, which is able to interpret textual contributions that represent human intelligence (such as posts on social networking tools), using automatic learning techniques, and to insert knowledge contained therein in a structure described by an ontology. This opens up interesting scenarios for the collective knowledge management system, which could be used to provide up to date information that describes a given domain of interest, to automatically augment it, thus coping with information evolution and to make information available for browsing and searching by an ontology driven engine. This report describes a Java based implementation of the Ontology Evolution Manager within the above outlined architecture

An Integrated Conceptual Environment based on Collective Intelligence and Distributed Artificial Intelligence for Connecting People on Problem Solving

This paper aims to analyze the different forms of intelligence within organizations in a systemic and inclusive vision, in order to conceptualize an integrated environment based on Distributed Artificial Intelligence (DAI) and Collective Intelligence (CI). In this way we effectively shift the classical approaches of connecting people with people using collaboration tools (which allow people to work together, such as videoconferencing or email, groupware in virtual space, forums, workflow), of connecting people with a series of content management knowledge (taxonomies and documents classification, ontologies or thesauri, search engines, portals), to the current approaches of connecting people on the use (automatic) of operational knowledge to solve problems and make decisions based on intellectual cooperation. The best way to use collective intelligence is based on knowledge mobilization and semantic technologies. We must not let computers to imitate people but to support people think and develop their ideas within a group. CI helps people to think together, while DAI tries to support people so as to limit human error. Within an organization, to manage CI is to combine instruments like Semantic Technologies (STs), knowledge mobilization methods for developing Knowledge Management (KM) strategies, and the processes that promote connection and collaboration between individual minds in order to achieve collective objectives, to perform a task or to solve increasingly economic complex problems

Emerging personal intelligence in collective goals: Data analysis on the bottom-up approach from PKM to OKM

There is a pattern of personal intelligence seen emerging from the concept of agent-mediated personal knowledge management (PKM) in achieving the organisational collective goals.This paper presents the results of analyses of related surveys implemented to prove this emergence, which include a quantitative analysis supported by a qualitative analysis on surveys across three main industries in Malaysia, namely manufacturing, service and education. From these analyses, we discovered that the emergence of personal intelligence is embedded within the collaborative interactions among software agents, and among agents and human knowledge workers. We show that our hypotheses discussed in this paper, which is supported by the results of the surveys manifest some organisational knowledge management (OKM) practice as a consequence of the agent-mediated PKM processes.Future work recommended to proving these hypotheses include the development of agent-based system that animates these theories in the real working environment

Activating Community Development through Activation of Collective Action

The development of several communities in Nigeria is constrained as a result of failure to explore the nexus between power, politics, knowledge management, stakeholders’ management and growth and development. The growth and development of any community is no longer dependent on monetary variables alone. To further development, innovative capacity is now a categorical imperative. The revamping of education and training will impact positively on the attainment of high innovative capacity. The link between knowledge management, stakeholders’ management, politics/power and community growth and development must now be explored. Knowledge management will assist in identifying the key imperatives for growth and development. With knowledge management culminating in, increased stakeholders management intelligence, communities that are dependent stakeholders will cultivate the cooperation of others to acquire power with a view to becoming definitive stakeholders. The outlined synergies will assist in activating community development through collective action. Keywords: Power, Politics, Knowledge management, Stakeholders management, Growth and development, Egoro kingdom

Social intelligence and competitive intelligence

Coloca os conceitos de inteligência social e coletiva no contexto da Sociedade da informação e do Conhecimento. Traça o desenvolvimento da inteligência econômica nos países e a aplicação da inteligência competitiva nas organizações. Defende que a ação conjunta do processo de gestão da informação e gestão do conhecimento, ambas em apoio às estratégia e missão organizacional, apresentam para o processo de tomada de decisão uma propriedade emergente que é a inteligência institucional. _________________________________________________________________________________________ ABSTRACTThe concepts of social and collective intelligence are placed within the context of the Information and Knowledge Society. The development of the economic intelligence is given as well as its application and development in organizations as competitive intelligence. The thesis defended is that the joint action of the information and knowledge management processes, both in support to strategies and organization’s mission , have na emerging property for the decision making process – that is the institutional intelligence

Semantic technologies: from niche to the mainstream of Web 3? A comprehensive framework for web Information modelling and semantic annotation

Context: Web information technologies developed and applied in the last decade have considerably changed the way web applications operate and have revolutionised information management and knowledge discovery. Social technologies, user-generated classification schemes and formal semantics have a far-reaching sphere of influence. They promote collective intelligence, support interoperability, enhance sustainability and instigate innovation. Contribution: The research carried out and consequent publications follow the various paradigms of semantic technologies, assess each approach, evaluate its efficiency, identify the challenges involved and propose a comprehensive framework for web information modelling and semantic annotation, which is the thesis’ original contribution to knowledge. The proposed framework assists web information modelling, facilitates semantic annotation and information retrieval, enables system interoperability and enhances information quality. Implications: Semantic technologies coupled with social media and end-user involvement can instigate innovative influence with wide organisational implications that can benefit a considerable range of industries. The scalable and sustainable business models of social computing and the collective intelligence of organisational social media can be resourcefully paired with internal research and knowledge from interoperable information repositories, back-end databases and legacy systems. Semantified information assets can free human resources so that they can be used to better serve business development, support innovation and increase productivity

Value Creation Through Collective Intelligence: Managing Intellectual Capital

The contribution of intellectual capital to value creation beyond individual companies into wider society, as described in the fourth stage of intellectual capital research, is of particular relevance for the public sector where organizations have a stewardship responsibility. They should engage stakeholders into value co-creation by developing organizational and ecosystem collective intelligence through traditional as well as innovative tools such as online technologies. Yet, the relationship between intellectual capital and value creation often remains a relatively unexplored process within public administration. This paper focuses on the case study of a regional agency in Friuli Venezia Giulia, Italy, which is not only responsible for assistance, regulation and service delivery, but also for engaging its stakeholders and the public at large to disseminate knowledge to promote values and appropriate behaviour in the policy areas it is responsible for. The research looks at the role played by intellectual capital in the agency’s value creation strategies and how the agency’s structure and processes influence the development and management of intellectual capital in an effort to create value for its ecosystem. The research not only validates the existence of ecosystem frameworks in public administration and the key role played by intellectual capital in their design, creation and implementation, but it also highlights the need in the public sector for a defined role for intellectual capital, stakeholder engagement and collective intelligence in governance models. In particular, findings underline the need for new intellectual capital management systems based on a collective intelligence approach within multi-stakeholder co-creation frameworks in a public service ecosystem logic, reflecting the public sector’s evolving role and the new tools developed with the advent of new technologie