Process Of Knowledge Application Research Articles

EFFECT OF KNOWLEDGE MANAGEMENT ON ORGANIZATION PERFORMANCE

Purpose: The underlying rationale for learning organizations is that in circumstances of quick change just those that are adaptable, versatile and gainful will exceed expectations. For this to happen, it is contended, associations need to find how to tap individuals' responsibility and ability to learn at all levels. The general objective of the study was to evaluate effect of knowledge management on organization performance.
 Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps.
 Findings: The study concludes that knowledge protection had the greatest effect on the performance of microfinance organizations, followed by knowledge acquisition, then knowledge conversion while knowledge application had the least effect to the performance. The study found out that the organizations have impressed attributes of knowledge applications such as individuals, organization culture, and identity, policies and documents in their organization which had resulted in improved performance. However, routines and systems were found to have less influence on the performance of these organizations.
 Recommendations: There is a need for managers also need to take advantage of the technological capability to support knowledge application processes. In particular, organizations should use technology to map the location of specific types of knowledge, thereby facilitating the application and sharing of knowledge. Technology also should be connected to encourage individuals in different areas to take in as a gathering from a solitary or numerous assets and a single or various focuses in time. Thusly, social and specialized infrastructural components can supplement each other and meet up to improve learning focused procedures.

Formulating a learner model for evaluating construction workers’ learning ability during safety training

The improvement of safety performance of construction workers heavily lies in safety training, and training technologies, materials and organisations. However, the traditional one-size-fit-all safety training does not cater for the needs of heterogeneous workers. Personalised training may proffer a better solution for heterogeneous workers in the construction sector. To understand the rationale of personalised training, this study formulated a learner model that can capture and evaluate the learning abilities of individual workers. Methodically, a survey on 170 construction workers was conducted, and evidenced that they were heterogeneous in safety training motivation, established knowledge, and emotions during the knowledge acquisition process; and were vulnerable to the model effect and convenience effect during the knowledge application process. The results also showed that workers generally perceived safety training as a mandatory requirement, rather than inherently motivated; emotional changes was the most influencing factor in the knowledge acquisition process; about 40% of the workers were strongly vulnerable to the model effect and convenience effect; and 18% of the workers needed to improve their ability of knowledge acquisition and knowledge application. The correlation analysis and t-test indicated that age, year of experience, trade, project type, organisation type and site environment influenced workers’ learning characteristics and abilities; which lead to the varied levels of safety understanding, awareness and performance. It was also concluded that the construction workers had unique characteristics in their safety learning process and the concept of adapted safety learning could potentially improve the efficiency of safety training.

A hybrid model of knowledge management for new service development

Although many theories regarding the implementation of knowledge management (KM) in organizations have been proposed and studied, most applications tend to stand alone without incorporating the business processes. Different categories of knowledge provide different benefits and how to integrate various categories of KM into a hybrid approach as an effective KM manner remains strategically important, and yet is still understudied. Therefore, in this paper a hybrid model that integrates principal KM applications for new service development (NSD) and the measurement of the resulting financial benefits have been developed. The proposed KM model incorporates newsgroups, knowledge forums, knowledge asset management and knowledge application processes as a hybrid means for sharing organizational knowledge along two axes, explicit vs. implicit and individual vs. collective. One of the largest management consulting companies in Taiwan, China, whose process model of NSD was standing alone with KM applications, was selected for the case study. A set of hybrid KM processes was developed to implement the proposed KM model, and it illustrates an application with greater financial benefits for integrating hybrid KM practices into the business process. Based on knowledge value added (KVA) validation, the proposed KM model provides a new operating system for sharing NSD knowledge within an organization. Through the case study by measuring the achieved financial results, the proposed KM model is found to provide an exclusive hybrid platform with an empirical process model to address innovative approaches and practical values of KM within an organization.

A study on the training of complex problem solving competence

This study examined whether experience with different computer-based complex problem situations would improve complex problem solving (CPS) competence in an unknown problem situation. Therefore, university students (N = 110) took part in a control group study. They were trained in five different complex problem situations for up to 7 hr, and their performance was tested in a sixth complex problem situation. The data analyses revealed that the training influenced the CPS process of knowledge acquisition. However, the CPS process of knowledge application was not impacted by experience with other problem situations. Implications for the concept of CPS as a trainable competence as well as the training of CPS in general are discussed.

An empirical model of four processes for sharing organisational knowledge

Purpose – This study aims to introduce an empirical model which incorporates newsgroups, knowledge forums, knowledge assets and knowledge application processes to share organisational knowledge. Therefore it seeks to illustrate an application for integrating knowledge management (KM) into the business process. Design/methodology/approach – The Taiwanese contingent of an international certification body – also a council member of the International Organisation for Standardisation (ISO) – was selected for a case study. A hybrid technology infrastructure was designed and employed to implement the proposed model. Based on knowledge value added validation, the proposed KM model provides a set of new operating systems for sharing knowledge within an organisation. Findings – Although many theories regarding implementation of KM in organisations have been proposed and studied, an application model for practical integration of various modern principles to share organisational knowledge is strategically important. Therefore a model that integrates principal KM applications into the business process, and the measurement of the resulting benefits, has been developed. Originality/value – Knowledge is a valuable asset for an individual in today's economy; nevertheless the acquisition of such an asset relies heavily on knowledge sharing within an organisation. The author has proposed an exclusive hybrid platform with an empirical process model to address innovative approaches and practical values of KM within an organisation.

A framework for acquisition and application of software architecture evolution knowledge

Software systems continuously evolve as a consequence of frequent changes in their functional requirements and the environment surrounding them. Architecture-centric software evolution (ACSE) enables changes in software structure and behaviour while abstracting the complex implementation-specific details. However, due to recurring evolution there is a need for solutions that enable a systematic reuse of frequent changes in software architectures. In recent years, architecture change patterns and evolution styles proved successful in promoting reuse expertise to tackle architecture evolution. However, there do not exist any solutions that enable a continuous acquisition and application of architecture evolution knowledge to systematically address frequent changes in software architectures. In this paper, we propose a framework PatEvol that aims to unify the concepts of i) software repository mining and ii) software evolution to enable acquisition and application of architecture evolution knowledge. In the proposed PatEvol framework, we present knowledge acquisition ( architecture evolution mining ) to enable post-mortem analysis of evolution histories to empirically discover evolution-centric knowledge. Furthermore, we support reuse of discovered knowledge to enable knowledge application ( architecture evolution execution ) that enables evolution-off-the-shelf in software architectures. Tool support facilitates the knowledge acquisition and knowledge application processes in the PatEvol framework.

Elicitation and acquisition of knowledge related to clothing colour design

Elements of clothing colour design were discussed and analysed in this research. Both colour sample base and colour sensory image base were proposed. Eighty-nine colours with different hue, value and chroma were selected for the colour samples base. The knowledge related to clothing colour design was suggested to two aspects: design knowledge, which includes design rules and theories, and sensory knowledge, which shows the relations between the colour samples and word pairs applied to describe the sensory of the colours. All these knowledge could be elicited and acquired from professional persons by interviewing, card sorting and fuzzy clustering methods etc. During application, the improper colours are deleted from colour sample base first according to the customer’s character, the time, place and occasion (TPO) principle, then the remainders could be clustered by using transfer closure based on fuzzy equivalence matrix. An application framework was provided to show the process of knowledge application.

Knowledge Support Technology of Creative Design for Electromechanical Products

It has been discussed in this paper that the necessity of knowledge support technology used in creative design of electromechanical products. In order to apply knowledge support technology to creative design of electromechanical products, a relation matrix has been constructed by QFD (Quality Function Deployment) technology between the various performances of electromechanical products and the involved knowledge of them. Thus, the HOQ (House of Quality) about the knowledge–performance of electromechanical products is built. Then, the further demand tracking has been made as well. After that, it has been established that the knowledge model and knowledge application process used in creative design of electromechanical products. Finally, a new method has been proposed which can guide designers to do product creative design by knowledge demand.

Spanning the know-do gap: Understanding knowledge application and capacity in long-term care homes

Using a multiple case study design, this article explores the translation process that emerges within Ontario long-term care (LTC) homes with the adoption and implementation of evidence-based clinical practice guidelines (CPGs). Within-organization knowledge translation is referred to as knowledge application. We conducted 28 semi-structured interviews with a range of administrative and care staff within 7 homes differentiated by size, profit status, chain membership, and rural/urban location. We further undertook 7 focus groups at 5 locations, involving a total of 35 senior clinical staff representing 15 homes not involved in earlier structured interviews. The knowledge application process that emerges across our participant organizations is highly complex, iterative, and reliant upon a facility's knowledge application capacity, or absorptive capacity to effect change through learning. Knowledge application capacity underpins the emergence of the application process and the advancement of knowledge through it. We find that different elements of capacity are important to different stages of the knowledge application process. Capacity can pre-exist, or can be acquired. The majority of the capacity elements required for successful knowledge application in the LTC contexts we studied were organizational. It is essential for managers and practitioners therefore to conceptualize and orchestrate knowledge application initiatives at the organization level; organizational leaders (including clinical leaders) have a vital role to play in the success of knowledge application processes.

Knowledge flow management supporting complex problem solving: learning spectrum and its infrastructure

Knowledge Management (KM) concerns innovating, spreading, sharing and using of knowledge assets. Dynamic knowledge flow management consists of cognition-compliant knowledge transferring and propagation for facilitating problem solving, which is a novel research issue in the KM domain. In this paper, the cognition is treated as the reflection-based knowledge application process related to problem solving and the cognition-compliant knowledge transferring and propagation is implemented through learning. Learning spectrum engaged in knowledge flow is explored from two aspects: depth learning and breadth learning corresponding to meta-cognition and group-cognition, respectively. Our work is based on a motivating example derived from New Product Development (NPD). To meet the globally distributed tendency of complex problem solving with cognitive intention, the infrastructure of Problem Solving Environment (PSE) based on Knowledge Grid (KG) scenarios is explored to facilitate web-based complex problem solving....

System Support for Knowledge Work

Many researchers argue that information systems (IS) can play an important role in supporting organizational knowledge application. However, recent IS research indicates that knowledge management systems (KMS) often fail when implemented in the knowledge work practice of contemporary organizations. While KMS maintenance has been recognized as an important IS research area, imbalance between the desire for accurate content and the workload required to achieve this still appears to be a critical issue, resulting in systems of little use for organizations in their knowledge application processes. Driven by the ambition to contribute recommendations for how to integrate KMS with everyday knowledge work, we use general lessons learned from development of groupware applications as a theoretical lens to analyze empirical experiences from three implemented and evaluated KMS. Targeting the KMS maintenance challenge, our recommendations extend earlier IS research on the implementation and use of knowledge work support systems. On a practical level, our recommendations assist KMS developers in attempts to bridge the knowing-doing gap in organizations where individual members do not know or know of each other and the organization as a whole does not know what it knows.

Center for Army Lessons Learned

This paper is an instructional case that describes how the Center for Army Lessons Learned (CALL) has developed a unique, institutionalised knowledge application process. The paper highlights several issues related to knowledge application, including the collection, distillation, and dissemination of knowledge, the role of subject experts in the knowledge application process, and how technology facilitates knowledge application. Interested readers can contact the lead author for a list of questions and suggested answers intended for teaching the process of knowledge application to graduate students.