Innovation Driven Knowledge Management

To leverage knowledge management for business innovation, IT managers must first understand the basic principles, theories, and practices of knowledge management. Next, they must understand how knowledge management will contribute to innovation. This chapter addresses both topics to help make IT managers become IT innovators.

Jurnal NERS ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. 324
Author(s):  
Joanggi Wiriatarina Harianto ◽  
Nursalam Nursalam ◽  
Yulis Setiya Dewi

Introduction: Patient safety is an important component of health services quality,and  basic principles of patient care. Nursing students also have a great potential to make an action that could endanger the patient, because hospital is one of student practice area. The purpose of this study was to improve the nursing students competency in patient safety by using knowledge management SECI approached. Method: The study used exploratory survey, and quasy experiment. The samples were some of nursing students of STIKes Muhammadiyah Samarinda who were on internship programme that selected using simple random sampling technique, in total of 54 students. This research’s variables were the knowledge management SECI based-patient safety and nursing student’s competency. The data were collected by using questionnaires and observation. The data were analyze by using Partial Least Square (PLS). Result: The result showed that there were significant influence the implementation of a model patient safety based knowledge management seci on increased competence nursing students. Discussion: Improved student competency in patient safety using SECI knowledge management was carried out in four phases, that is Socialization, Externalization, Combination, and Internalization. The result was a new knowledge related to patient safety that able to improve the student’s competency..Keywords: Patient safety, Knowledge management, SECI, competency


Author(s):  
Eng K. Chew ◽  
Petter Gottschalk

As described in Chapter X, fundamental to the company’s innovation capabilities is the level of collaboration and knowledge management capabilities available to support the innovation process. The ability of an organization to identify, acquire, and utilize external knowledge, known as knowledge absorption, can be critical to the firm’s operational success (Adams, Bessant, & Phelps, 2006). A survey by Adams et al. (2006) shows that three areas of knowledge management are critical for innovation management: idea generation, knowledge repository (including the management of tacit and explicit knowledge), and information flows (including information gathering and networking). Further they note that several researchers have found that the firm’s ability to “absorb and put to use new knowledge,” known as knowledge “absorptive capacity,” has direct impact on the firm’s innovation and performance (Chen, 2004; Tsai, 2001). Popadiuk and Choo (2006) have further shown that innovation and knowledge creation are related. Innovation is a result of knowledge creation. Innovation is related to the firm’s ability to combine new knowledge with existing knowledge to create new knowledge that is unique to the firm. It is also related to the firm’s ability to diffuse knowledge throughout the organization so that the organization as a whole increases its absorptive capacity. Knowledge diffusion can be facilitated by IT infrastructure and knowledge management system. Knowledge management is aimed at leveraging internal and external knowledge to create value from the firm’s intangible assets. According to Metaxiotis and Psarras (2006), knowledge management contributes to value creation by enhancing: intellectual asset management, operational efficiency, customer and competitor intelligence, continuous improvement, organizational learning, innovation in products and services, and time to market. They report of findings from American Productivity and Quality Center that greater emphasis should be made by firms on “using knowledge management to become more efficient innovators.” To leverage knowledge management for business innovation, IT managers must first understand the basic principles, theories, and practices of knowledge management. Next, they must understand how knowledge management will contribute to innovation. This chapter aims to address both topics to help make IT managers become the IT innovators.


2010 ◽  
Vol 108-111 ◽  
pp. 123-128
Author(s):  
Ting Zeng

Knowledge management and knowledge engineering is two important concepts, in recent years. Knowledge Engineering is the engineering solution of the system, emphasizing the process of the acquisition of knowledge and knowledge on behalf of knowledge-based systems in the uncertain process requirements. The purpose of this paper is to discuss how to use the basic principles of knowledge engineering in order to promote knowledge management.


Comunicar ◽  
2005 ◽  
Vol 12 (24) ◽  
pp. 163-170 ◽  
Author(s):  
Ciro-Nestor Novelli-Osorio ◽  
Cecilia Pincolini

The authors maintan and develop some basic principles of the knowledge management model from a conceptual approach to educational technologies, their relationship with education, the past and present pedagogical frames and the diverse moments of this relationship, at the Universidad Nacional de Cuyo. They present three projects –interactive and with integrating supports- about the entire knowledge management for the production of formal and non-formal educational contents, teaching alternatives and their transference, and the strategies of educational and socio-cultural entailments with other government institutions, NGOs and within the university itself. Desde una mirada conceptual sobre el papel de las tecnologías educativas, su relación con la educación, los marcos pedagógicos pasados y actuales y los diversos momentos de la misma, sustentamos algunos principios básicos del modelo de gestión del conocimiento que promovemos y desarrollamos en la Universidad Nacional de Cuyo. Al final presentamos tres proyectos de gestión integral del conocimiento, interactivos y con integración de soportes, para la producción de contenidos educativos formales y no formales, las alternativas de enseñanza y transferencia de los mismos y las estrategias de vinculación educativa y sociocultural con otras instituciones gubernamentales, ONGs y dentro de la propia universidad.


2021 ◽  
Vol 2 (6) ◽  
pp. 43-53
Author(s):  
S. G. ZBRISHCHAK ◽  

The prerequisites for the emergence of conceptual management, the basis of which is the collective organizational knowledge, are determined. The most appropriate methodology for knowledge management is the system methodology. It is proposed to use soft system models as a tool for structuring and presenting knowledge at the early stages of the study of a complex management situation, which practically cannot be formalized. The basic principles of constructing soft models are considered. It is shown that the use of soft system methods opens up a new perspective for the application of the system approach in management. The methodological task of conceptual management is formulated, the essence of which is to identify, coordinate and integrate individual and collective knowledge structures.


Author(s):  
María de los Ángeles Villalobos-Alonzo ◽  
Ana Eugenia Romo-González

In this study we describe flexible modeling using structural equations of partial least squares (PLS) based on the analysis of variance, to predict the dependency relationships of a theoretical model supported by internal and external conditions for the development of innovation capabilities that they include the endogenous variables; organizational culture, exploitation innovation, exploration and ambidestreza, innovative performance, competitiveness, University-Business collaboration and business innovation, and its relationship with the exogenous variable; knowledge management practices. In the method, three phases were applied; the consideration of the theory and previous investigations for the construction of the conceptual model, the application of the measurement model related to the attributes of validity and reliability of the constructs, the structural model that evaluates the weight and the magnitude of the relationships between variables. Out of the main results, values higher than the minimum variance value explained were obtained, which is recommended to be Falk ≥ 0.10 and a model adjustment value greater than 0.50, thereby inferring the existence of a positive relationship of predictive interdependence and significant variance of the variables, which favor the creation of product, service or process innovations in companies.


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