The indirect impacts of management support and commitment on knowledge management systems (KMS) adoption: evidence from Malaysian Technology Industries

The study investigates the impacts of management support and commitment on the adoption of knowledge management systems (KMS) in Malaysian technology industries. By analysing data from a survey of 108 managers across the Malaysian technology industries, the study contributes to the KMS adoption literature by empirically establishing the indirect impacts of organisations’ management support and commitment through the mediations of other organisational elements. First of all, the results suggest that the effects of management support and commitment are only indirect through the mediation of other variables, namely knowledge classification and knowledge sharing culture. Moreover, knowledge classification has a positive influence on perceived benefits, which is a determinant of KMS adoption. Second, even though management support and commitment has a positive impact on rewards and incentives, and policy and procedures, the findings indicate that these organisational elements did not have any influence on KMS adoption. However, policies and procedures did influence perceived ease of use, which is a determinant of perceived benefits. The theoretical and practical implications of these findings are discussed

KIBS, Knowledge Management and Digital Product Service Systems: an explorative investigation

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Antecedents and consequences of KMS usage in Chunghwa Telecom company

[[abstract]]"The knowledge management system (KMS) has attracted significant attention from researchers and practitioners as a facilitator of better employee performance. However, although companies have implemented KMS, empirical research findings offer inconsistent correlation between employee performance and KMS usage. Thus, the purpose of this study is to determine the antecedent factors influencing the KMS usage which might lead to better employee satisfaction and performance. Specifically, a research model based on the Technology Acceptance Model for testing the influence of KMS usage is proposed. A number of hypotheses are thus developed and were empirically tested using survey data obtained from employees in Chunghwa Telecom Company. The PLS software solutions wre seleted to validate the measurements and the structuralproperties of the proposed research model. The results suggest that employee performance is affected by employee satisfaction and extent of KMS usage, which are in turn jointly determined by knowledge maps fit, perceived usefulness, and perceived ease of use.

The impact of semantic knowledge management system on firms' innovation and competitiveness

D.B.A ThesisIn the knowledge economy, knowledge is increasingly becoming the primary factor of production and foundational component of innovation. Firms must improve their capabilities of handling knowledge in line with its recent explosive growth to stay competitive. This research addresses the effects semantic technology-based knowledge management system (Semantic KMS) can have on firms’ performance. Based on existing literature, a conceptual model covering Semantic KMS, KM, innovation, and competitiveness was designed to test the validity of the hypotheses. A total of 640 survey questionnaires were sent to the companies that practice KM actively. 178 usable responses were received. Pearson’s correlation, exploratory and confirmatory factor analyses and structural equation modeling were used to analyze the data. The results indicate that Semantic KMS is positively related to the KM effectiveness. Organizational KM is positively linked to innovation and competitiveness directly. In the context of KM, innovation's effect on competitiveness is not convincing. Moreover, the study could not identify that KM has any strong relationship with organizational competitiveness mediated through innovation. Being one of the first significant studies of Semantic KMS and its impact, the study adds to the growing literature on the use of semantic technology in various fields. It develops a new theoretical model which has never been tested before. The study used data collected from single respondent of each firm in a snapshot and did not consider feedback effects. It examined Semantic KMS as a holistic system, but in many cases, companies only deploy certain KM related tools supported by semantic technology. A different research approach could investigate the impacts of those tools on relevant business processes. This study demonstrates that deployment of semantic technology is beneficial for companies and allows them to take advantage of the use of advanced technologies in their KM quest. It brings significant benefits to the firm thanks to improved capabilities of the new KMS in knowledge discovery, aggregation, use, and sharing. The study also confirms that for a successful KM initiative, KM processes need to be optimized and supported by KMS. Semantic technology is a set of advanced tools used lately in many information systems. This study is one of the first in-depth research about their impacts on KMS. It will guide KM managers in their decision-making process when they consider developing or integrating newKMS tools. For academics, this research highlights the importance of investigating KM from the new technology perspective.

Sensorless induction motor speed control for electric vehicles using enhanced hybrid flux estimator with ann-ifoc controller

Basically, a speed sensor is used to sense an electric vehicle’s motor speed at the rated value in order to achieve a high tracking accuracy of the speed, but the use of a sensor is costly and it is sensitive to vibrations. Therefore, this project proposed a new mechanism in order to eliminate the speed sensor by adopting an enhanced hybrid flux estimation. The voltage signal was modified using the rotor-flux-oriented current model’s output for the internal stator flux controller to minimise the back-EMF error to represent a sensorless control. Artificial neural network (ANN)-field-oriented control (FOC) was used in the hybrid flux system. The function of the ANN was to improve speed-tracking performance, and the learning rate of the ANN inside the indirect FOC’s structure trained using the Levenberg-Marquardt (LM) algorithm was varied in order to increase speed-tracking accuracy when combined with the improved ANN speed controller. The hyperparameters of ANNs, such as weights and biases, were randomly initialised and updated using the backpropagation (BP) algorithm in order to increase the convolution of the ANNs. The sensorless ANN-IFOC was modelled, simulated, and tested using MATLAB/Simulink for a 20Hp EV motor based on a small Renault Twizy EV model and triggered by the space-vector pulse-width modulation (SVPWM). The results of the ANN-IFOC hybrid estimator were obtained in four cases, which were 1) constant high and low speeds, 2) constant speed against parameter variation, 3) variable speed, and 4) variable load torque disturbances. All results showed that the proposed method gave excellent agreement, as compared with ANN- and PI-based conventional voltage model estimators, with increased tracking accuracy (1500 rpm: 99.23% and 99.60% to 99.85%; 1000 rpm: 98.90% and 99.45% to 99.85%; and 500 rpm: 97.92% and 99.10% to 99.85%). The proposed model with the sensorless speed controller showed consistent tracking accuracy with faster speed responses and gave the shortest settling time and fewer overshoots compared with the existing PI controller. Furthermore, the drive system was able to control and improve the transient response of the EV motor

Organisational Culture, Knowledge Sharing and Intellectual Capital: Directions for Future Research

Organisational culture and knowledge sharing are two significant for long-term success of an organisation. In addition, organisation intellectual capital as the sum of all knowledge used to develop a business and gain competitive advantages is also equally important. However, existing literature rarely examines the relationship between organisational culture, knowledge sharing practices, intellectual capital and organisational performance. The main aim of this research-in-progress paper is to explore whether organisational culture has an impact on knowledge sharing practices (types, approaches, and process) and intellectual capital (human, structural and relational capital) towards organisational success (financial and operational performance). This paper concludes with a research model on the relationship between organisational culture, knowledge sharing, intellectual capital, organisational success and directions for future research

Framework Proposal for Management of Knowledge and Technology Transfer in Brazilian Academic Internships

This article has the purpose of developing a framework for management of knowledge and technology transfer in Brazilian academic internships, with a Knowledge Management approach. The methodological procedures employed are classified as qualitative, bibliographical, documentary, and a survey, having academic internships in Brazil as the object of study. The framework proposed is an advantage in internship management, systematizing information, knowledge, and technology, in addition to increasing the potential of internship activities. The framework for management of knowledge and technology transfer in Brazilian academic internships offers its users not only a service of knowledge management, but also a Knowledge Management System with resources of Communication and Information Technology for the construction of a learning platform, in which coordinators, professors, supervisors, and student-interns would be able to manage the internship, its activities, and the online learning environment. In other words, it is an environment designed for the development of academic knowledge in professional capacities

Knowledge Reuse Through Electronic Knowledge Repositories: An Empirical Study And Ontological Improvement Effort For The Manufacturing Industry

Knowledge management adoption is growing, and will continue to grow in no small part because of its recent inclusion into the ISO 9001 quality standard. As organizations look towards ways in which to manage their knowledge, the codification of explicit knowledge through Knowledge Management Systems (KMS) and Electronic Knowledge Repositories (EKRs) will undoubtedly gain more interest. An EKR is a form of KMS that emphasizes the codification and storage of organizational expertise for the purposes of Knowledge Reuse (KRU). Unfortunately, the factors surrounding KRU are not well understood. While previous studies have viewed EKR usage from a narrow perspective, a broader and interconnected view of KRU via EKRs has yet to emerge. Additionally, while there have been numerous benefits linked to EKRs, there are still issues that limit their utility, particularly in the manufacturing arena where information complexity and geography have made it increasingly difficult to share knowledge. Hence, this research employed a two pronged approach. First, using a multi-theoretical perspective to model KRU via EKRs, a quantitative study was conducted and identified several socio-technical factors that predicted greater KRU. These factors had not been previously modeled within the context of KRU via EKRs, and hence add to both the theoretical and practical implications of the domain. Additionally, the KRU construct was also tied to a back end resulting outcome view that was informed by the Expectation Confirmation Model (ECM). Through this view, the research quantitatively validated that KRU not only predicted greater performance, but also impacted greater knowledge sharing and continuance of use. This ancillary benefit helps to reinforce the importance of EKRs in that additional gains are manifested along with the core component of KRU. Second, the research extended the capability of manufacturing EKRs by developing a holistic design and process based ontology that connects key concepts within these domains to provide an overall interconnected view. Additionally, to ensure the relevance of the ontology, a mature and globally recognized industry standard was used as the basis to develop it. The ontology was then formalized and tested via Semantic Web tools: Protege, RDF, and SPARQL. The results demonstrate an improved approach to knowledge recall by providing rich and accurate query returns. The ability to use standalone and federated queries to effectively cull the complexity of this interconnected domain is an enhancement to keyword based and traditional relational database approaches. Additionally, to assist with greater industry adoption a systematic and constructive approach for developing and operationalizing the ontology is provided. Finally, in the spirit of the program in which this dissertation is presented, rounding out the research effort are broader organizational management recommendations for overall knowledge management. Referencing industry targeted literature and syncing them with findings from these two research efforts, several pragmatic and sequentially logical approaches to knowledge management are offered