Explore the vast range of titles available.

Knowledge management and knowledge assets have gained much prominence in recent years and are said to improve organizational performance. Knowledge capture and acquisition mechanisms enhance organizational memory and performance. However, knowledge capture and acquisition mechanisms in higher education institutions are not well known. The aim of this study was to investigate the knowledge capture and acquisition mechanisms at Kisii University. This was a case study in which data were collected through interviews and questionnaires. Purposive sampling was used to determine interview participants while questionnaire respondents were selected through stratified random sampling. Qualitative and quantitative data were analysed using SPSS® student version 14; it revealed that there were various knowledge capture and acquisition mechanisms at Kisii University. It was also established that the University encountered various challenges in knowledge capture and acquisition and lacked some essential knowledge capture and acquisition mechanisms. In this regard, this study proposed knowledge capture and acquisition guidelines that may be adopted by the University to enhance its organizational memory and performance.

To address fragmented knowledge representation, weak domain adaptability, and coarse feedback in AI writing assistants for college English teaching, this study proposes a system integrating deep knowledge capture and intelligent hierarchical feedback. A multi-granularity writing framework is built by vectorizing text with a pre-trained language model, while a graph attention network models complex knowledge relations for structured representation. The feedback mechanism operates at two levels: low-level errors are detected using dependency parsing and semantic role labeling, and high-level suggestions are optimized via reinforcement learning. Experiments on 400 college students' essays show the system achieves a knowledge graph triple extraction F1 of 93.2%, Hits@5 of 94.1% in link prediction, and average high-level feedback quality of 0.809, with 86.8% precision for discourse coherence. Results indicate superior performance over existing models in accuracy and pedagogical effectiveness, enhancing AI-assisted writing instruction.

Purpose - The purpose of this paper is to explore the effects of knowledge sharing on innovation. Two forms of knowledge sharing are examined, knowledge donating and knowledge collecting. In particular, the effects of knowledge donating and collecting on ambidexterity in organizations are also studied, with ambidexterity defined as the simultaneous achievement of exploratory and exploitative innovation.Design methodology approach - Primary data are collected via a questionnaire designed to measure the relationship between knowledge sharing and innovation. Data which were collected from 246 middle and top-level managers in Turkey was explored by multiple regression analysis.Findings - The results showed that knowledge collecting had a significant effect on all types of innovation and ambidexterity, whereas knowledge donating, involving donating inside and outside the group, did not have any effect on exploratory innovation. It was also observed that in-group knowledge donating affected both exploitative innovation and ambidexterity.Research limitations implications - This paper is limited to Turkish managers. Hence, impact of culture should be considered in future studies. It is advised that future research should be designed for different countries in order to conduct a comparative study.Practical implications - These results provide some information that is useful to decision makers and managers who are in charge of directing innovation strategies in organizations. The study also emphasizes the importance of effective knowledge management that can improve innovativeness in the organizations.Originality value - Studies comprising the relationship between knowledge sharing and innovation types are not abundant in the academic literature. So, the paper provides practical information to a relatively unexplored area.

Purpose – This study aimed to determine the extent to which the model of Hikmah Knowledge Capture Insolvency can be used as a solution in increasing knowledge and understanding good business financial management as a form of financial accountability in realizing better financial performance in addition to fill research gaps from previous research results. Design/Methodology/Approach – Respondents of this study were ATBM Weaving SMEs in Central Java. Researchers took three regencies as research objects, namely Jepara Regency, Pemalang Regency and Klaten Regency. A total of 110 respondents were selected by purposive sampling technique. The data was analyzed by using the Structural Equation Modeling (SEM) analysis technique with the application of Analysis Moment of Structural (AMOS.24). Finding – The results of the study explained that the dimensions of entrepreneurial orientation in this research variable included innovativeness, risk taking and proactivity. These variables supported the realization of financial responsibility and financial performance through understanding the conditions of liquidity difficulties (Hikmah Knowledge Capture Insolvency). Research Limitation/Implication – The measurement of Hikmah Knowledge Capture Insolvency in business financial management is only limited to SMEs weaving specifically ATBM. Practical Implication – The realization of financial responsibility in entrepreneurship orientation through the Hikmah Knowledge Capture Insolvency. Originality/Value – Using the basis of Capital Structure Theory, Knowledge Management through the concept of the Integrated Knowledge Management Cycle, and the values of Hikmah, the framework of this study is directed to address the influence between entrepreneurial orientation to financial performance through realization of Hikmah Knowledge Capture Insolvency and financial responsibility.

Purpose Knowledge management presents a problem for the architecture, engineering and construction (AEC) industry, largely because of the industry’s fragmented structure and project-driven nature. Construction companies may be involved in a variety of projects in different locations, each having its own knowledge requirements. Companies are also expected to be competitive, flexible and innovative, but introducing new knowledge management systems (KMSs) may represent a change that is beyond the organisation’s capacity to undergo successfully, and thus becomes a “nightmare”. The purpose of this paper is to propose and test a KMS solution that can help to facilitate the capture and application of important knowledge without introducing unnecessary changes in internal procedures for the organisation. Design/methodology/approach Following a review of existing systems, and an interview survey of 22 managers in the Portuguese AEC industry (contractors, design consultants and project management consultants) a new IT-based construction KMS called ConstruKnowledge was developed. The KMS was tested, verified and validated in two Portuguese construction projects and assessed by 12 managers in the construction company undertaking those projects. Findings The results of two pilot tests using ConstruKnowledge in two Portuguese construction projects demonstrate that its use can raise the levels of confidence in decision-making, and retaining knowledge; and that it serves to add value to the company. Practical implications The Construknowledge KMS is an innovative contribution to the greater acceptance of KMSs in the construction industry. The system facilitates the effective and efficient development of an organisational KMS using basic Information and Communications Technology (ICT)-based collaboration tools. While undertaken in the context of the Portuguese industry, the KMS has a wider global potential for implementation and further development. Originality/value The originality and value of this research are that it demonstrates how a KMS can be developed and then used in a construction company to capture and share knowledge without introducing additional constraints.

Commercializing knowledge involves transfer from discovering scientists to those who will develop it commercially. New codes and formulae describing discoveries develop slowly-with little incentive if value is low and many competing opportunities if high. Hence new knowledge remains naturally excludable and appropriable. Team production allows more knowledge capture of tacit, complex discoveries by firm scientists. A robust indicator of a firm's tacit knowledge capture (and strong predictor of its success) is the number of research articles written jointly by firm scientists and discovering, \"star\" scientists, nearly all working at top universities. An operationally attractive generalization of our star measure-collaborative research articles between firm scientists and top research university scientists-replicates the impact on firm success. In panel analyses, publications by firm scientists with stars and/or top 112 university scientists increase the number and citation rate for firm patents. Further, star articles increase these rates significantly more than other top 112 university scientists' articles. Cross-sectional analyses of products and employment show a similar pattern of positive effects on firms' success of collaborations with stars or top university scientists, but estimates of differential effects are nonrobust due to multicollinearity. Venture capital funding has significant, usually positive effects on firm success.

Purpose – This study aimed to determine the extent to which the model of Hikmah Knowledge Capture Insolvency can be used as a solution in increasing knowledge and understanding good business financial management as a form of financial accountability in realizing better financial performance in addition to fill research gaps from previous research results. Design/Methodology/Approach – Respondents of this study were ATBM Weaving SMEs in Central Java. Researchers took three regencies as research objects, namely Jepara Regency, Pemalang Regency and Klaten Regency. A total of 110 respondents were selected by purposive sampling technique. The data was analyzed by using the Structural Equation Modeling (SEM) analysis technique with the application of Analysis Moment of Structural (AMOS.24). Finding – The results of the study explained that the dimensions of entrepreneurial orientation in this research variable included innovativeness, risk taking and proactivity. These variables supported the realization of financial responsibility and financial performance through understanding the conditions of liquidity difficulties (Hikmah Knowledge Capture Insolvency). Research Limitation/Implication – The measurement of Hikmah Knowledge Capture Insolvency in business financial management is only limited to SMEs weaving specifically ATBM. Practical Implication – The realization of financial responsibility in entrepreneurship orientation through the Hikmah Knowledge Capture Insolvency. Originality/Value – Using the basis of Capital Structure Theory, Knowledge Management through the concept of the Integrated Knowledge Management Cycle, and the values of Hikmah, the framework of this study is directed to address the influence between entrepreneurial orientation to financial performance through realization of Hikmah Knowledge Capture Insolvency and financial responsibility.

Tacit knowledge in the construction industry is essential in the development and innovation of the operation. It also helps improve the built environment in the communities. The purpose of this research was to develop an effective process to capture tacit knowledge gained from project operations. To understand the complex processes happening within the firms in the Thai construction industry, an action research approach was adopted. Two well-established design and consulting firms participated in the study. After two iterations of action research, the four-stage process of tacit knowledge capture was proposed: (1) develop the firm's strategic knowledge containers, (2) reflect on past project experiences, (3) identify project learning and new knowledge and (4) validate and test new knowledge. It was emphasised that a firm should put significant effort in identifying the strategic knowledge and capabilities required in order to establish the knowledge containers which were clearly understood by all staff. Once the new knowledge had been tested, validated and accumulated in the knowledge containers, it would change the operations in the subsequent projects. The process should be conducted at the end of the project to allow sufficient time required for reflection of knowledge attained during the project operation.

First published in 2011.As knowledge management becomes embedded within organisations it becomes more important for students to understand its principles and applications.In this text the author provides a comprehensive overview of the field of knowledge management with an emphasis on translating theory into practice, Working.

The digital transformation of the offshore and maritime industries will present new safety challenges due to the rapid change in technology and underlying gaps in domain knowledge, substantially affecting maritime operations. To help anticipate and address issues that may arise in the move to autonomous maritime operations, this research applies a human-centered approach to developing decision support technology, specifically in the context of ice management operations. New technologies, such as training simulators and onboard decision support systems, present opportunities to close the gaps in competence and proficiency. Training simulators, for example, are useful platforms as human behaviour laboratories to capture expert knowledge and test training interventions. The information gathered from simulators can be integrated into a decision support system to provide seafarers with onboard guidance in real time. The purpose of this research is two-fold: (1) to capture knowledge held by expert seafarers, and (2) transform this expert knowledge into a database for the development of a decision support technology. This paper demonstrates the use of semi-structured interviews and bridge simulator exercises as a means to capture seafarer experience and best operating practices for offshore ice management. A case-based reasoning (CBR) model is used to translate the results of the knowledge capture exercises into an early-stage ice management decision support system. This paper will describe the methods used and insights gained from translating the interview data and expert performance from the bridge simulator into a case base that can be referenced by the CBR model.