Knowledge Management System Success Research Articles

If you build it, will they come? Exploring the success factors of knowledge management systems in the Malaysian public sector

The current study investigates the factors that influence the success of knowledge management systems in the public sector. This study integrates the DeLone and McLean Model with critical organizational factors. The model has been tested on the data collected from 158 employees in the public sector in Malaysia, the study found that knowledge content quality has a higher significant impact on the use of knowledge management systems than system quality. Perceived usefulness also has a greater impact than user satisfaction in determining the system's overall success. Among the organizational factors, leadership is the most significant determinant of success. However, the culture of sharing, perceived trust, and incentives do not significantly influence the use of knowledge management systems. The findings suggest that public sector organizations should focus on both system and organizational factors to implement successful knowledge management systems.

Analysis The Success of Knowledge Management in Agile Team Study Case: Ecommerce in Indonesia

Information in organizations needs to be managed to gain a competitive advantage in competitions. E-commerce, one of the most prominent industries in Indonesia, has dynamic market conditions that frequently change requirements and recent layoffs, which can harm the companies if not correctly managed. Knowledge and information usually stored in a knowledge management system (KMS) are essential to negate this, and Agile software development methodologies can manage frequent requirement changes. However, a study about KMS's success in Agile teams, primarily e-commerce, needs to be conducted to know if KMS can help companies sustain their business in Indonesia. This research analyses the KMS success in Indonesia's e-commerce companies that use Agile as their software development methodologies. This study used a quantitative approach with 31 respondents who worked or previously worked in an e-commerce company in Indonesia, using Agile as software development methodologies and experienced using KMS daily. Data was processed and analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) and SmartPLS tools. The results of this study indicate that KMS net benefits in Agile teams in E-commerce in Indonesia are influenced by the user's intentions to use and user satisfaction when using the KMS.

Taking our own medicine: Applying librarian expertise to improve organizational health through knowledge management

Turnover in academic institutions has become an increasing problem for a variety of reasons, one of which is widely discussed in library science literature: the increasing rate of retirement. The intersection of knowledge management (KM) and library science can assist in part with this challenge. Implementing KM can capture institutional knowledge and transfer it to existing and new personnel. Successful KM systems are supported by administrators and can result in innovations in workflows and services. KM and Librarians' Library & Information Science degrees and expertise can provide guidance not only in their departments and libraries, but can assist at the institutional level.

Managerial factors that influence the success of knowledge management systems: A systematic literature review

The purpose of this research is to remove the ambiguity that clouds the analysis of knowledge management systems (KMSs). This is because of an overall lack of consensus on how KMSs adapt to the new “knowledge explosion” embraced by the booming “Big Data” hype. In this paper, a refreshing synthesis of literature will uncover benefits and identify gaps in current knowledge. These findings will also be of benefit to researchers and industries as it allows for the holistic analysis of a KMS. This systematic literature review collected 54 papers for qualitative analysis. This analysis led to a synthesis of factors evident in the research and how they could be combined and collected as key categories. Once each factor was categorized, the future directions of research was analysed and documented. The primary factors discussed include (a) formal processes, (b) company culture, (c) top‐down support, (d) motivation, (e) clear goals, and (f) quality of KMS. This research has created a baseline for the further evaluation of KMSs in the real world.

Investigating Knowledge Management Practices in a Successful Research and Development Organization

In this paper after a review on the concept and literature of knowledge management, the conceptual model of a successful knowledge management system that is currently being applied in a research and development (R&D) aerospace organization is presented and discussed. The main contribution of the paper is presenting the model in its useful and practical status without becoming involved in theoretical discussions that have different shapes but similar meanings.

Approach for Successful Knowledge Management System Deployment for Organizations

Globalization and rivalries are the fundamental two difficulties confronting firms who are attempting to support their prosperity or even to remain in the market. Subsequently; interests in technology, process and people wind up plainly important for the association to guarantee to have fancied offer in the Marketplace. Vast firms set up cutting edge and complex sites and hello tech innovation to make, keep up and share knowledge inside by gathering and applying picked up information to make financial esteem. Knowledge is an imperative concentration in association's methodology, where information is viewed as essential for organizations. Organizations can turn out to be more productive by exchanging and sharing what specialists know, and after that, they can create learning strategies. The fundamental target of this paper is to distinguish existing knowledge management hone with a specific end goal to enhance it. A reasonable guide will be hypothetically proposed to be actualized and embedded in the corporate operations and business system. The pilot study was performed to validate the research questionnaire. The results were within the prescribed range so the researcher is ready to collect the actual data.

Influence of Behavioral Intentions, Affective Trust and Affective Commitment on Knowledge Sharing Behavior

This article describes how with the growing importance of knowledge in today's competitive environment, it becomes vital for organizations to unfold all the strategies for implementation of a successful knowledge management system. The purpose of this study is to examine the effect of knowledge sharing intention (KSI) and affective trust (AT) on knowledge sharing (KS) behaviour of employees. Additionally, the mediating influence of affective commitment (AC) of the employees in this relationship is also studied. This study uses data from a sample of 246 managers in Indian private sector firms and employs Structural Equation Modelling approach to test the proposed hypotheses. The findings of this study show that contrary to the results of prior research, BI does not affect KS behaviour directly. Rather, it acts indirectly through AC, which is necessary for increasing employees' loyalty and willingness to share their knowledge. Moreover, the results indicated that AT has an indirect influence on employees' KS behaviour via KSI. Implications and limitations and future scope of the study have also been discussed.

Examining the relationship between system quality, knowledge quality and user satisfaction in the success of knowledge management system: an empirical study

Measuring and understanding the success of knowledge management system within an organisation has been identified as one of the key challenges for information system managers. The success, typically, is measured at user-level in terms of user satisfaction that mainly depends on system quality and knowledge quality. The objective is to examine the strength and significance of relationship between system quality, knowledge quality and user satisfaction. Halawi et al. (2007) scale was used to operationalise system quality, knowledge quality and user satisfaction. A self-administered questionnaire survey was conducted in a selected knowledge-based organisation's employees who were working in the domain of banking and financial services. Factor analysis, correlation analysis and regression analysis were used to examine the underlying study model. The findings, interestingly, had provided positive but moderate relationship between system quality, knowledge quality and user satisfaction. Managerial implications, limitations and scope for further research are also discussed.

Examining the relationship between system quality, knowledge quality and user satisfaction in the success of knowledge management system: an empirical study

Measuring and understanding the success of knowledge management system within an organisation has been identified as one of the key challenges for information system managers. The success, typically, is measured at user-level in terms of user satisfaction that mainly depends on system quality and knowledge quality. The objective is to examine the strength and significance of relationship between system quality, knowledge quality and user satisfaction. Halawi et al. (2007) scale was used to operationalise system quality, knowledge quality and user satisfaction. A self-administered questionnaire survey was conducted in a selected knowledge-based organisation's employees who were working in the domain of banking and financial services. Factor analysis, correlation analysis and regression analysis were used to examine the underlying study model. The findings, interestingly, had provided positive but moderate relationship between system quality, knowledge quality and user satisfaction. Managerial implications, limitations and scope for further research are also discussed.

Information management as a determinant of success in knowledge management systems

Universities, to achieve success and stay competitive, must refine their processes by way of new methods and technologies to enable development and transfer the knowledge they create, utilizing valuable knowledge more productively in academic and learning services; in the management of research projects, community activities, and the student life cycle; and in institutional development, support and administration. An efficient knowledge management system (KMS) is an important strategy for helping universities to achieve sustainable competitive advantages. However, many have embarked upon the KM process without knowing what factors are required for successful KMS implementation. The aim of this article is to explore the influence of information management (IM) as one of the determinants of success in KMS implementation, particularly at the Universidad Simon Bolivar, a public institution located in Caracas, Venezuela. The design we employ is exploratory rather than experimental. We take a deductive approach, based on a quantitative method, and employ a questionnaire for data collection. Our sample is made up of 96 participants (academic and support staff). We concludes by acknowledging the importance of IM as a success factor for effective KM, with the participation of different actors in the decision-making process.

The Impact of Personal and Positional Powers on Knowledge Management Systems

The importance of Knowledge Management System (KMS) to an evolving knowledge economy has been reported in the literature for many years. This importance, in part, is due to KMS's ability to foster positive organizational value by increase its competitive edge. Organizational leadership has repeatedly appeared in the literature as a reliable determinant of KMS success. While researchers have identified many of the critical success factors that influence that success, the subconstructs of leader power remains elusive. This study was able to empirically demonstrate the predominate construct of Expert and Reward powers were positive, significant, and consistent across all KMS constructs (leadership commitment to KMS, knowledge content quality, knowledge system quality, and knowledge use). Legitimate power demonstrated negative influences on various KMS constructs. Information powers had varying degrees of success while Coercive power was not statistically significant.

Analysis of a Theoretical KMS Model Implementation in the Indian IT Sector Using PLS-SEM

The software industry being highly resource-oriented tries to ensure that knowledge residing in the minds of the employees is effectively utilised for leveraging core business competencies. Therefore, providing effective knowledge management systems (KMSs) to utilise this knowledge for optimising business processes has become crucial for enterprises to stay competitive. This paper attempts to assess the effectiveness of KMS implementations from a knowledge workers’ perspective via six dimensions of the Jennex and Olfman (J&O) KMS success model. Quantitative data was collected through a web-based survey questionnaire from knowledge workers in 25 Indian software companies. Statistical analysis of the study’s model was conducted using SmartPLS® (version 2.0.M3) software for assessment of both measurement and structural models. The empirical analysis of the model’s hypotheses indicated that a knowledge worker’s intent to use a KMS is significantly dependent on Service and Knowledge/Information Quality dimensions of J&O KMS success model. This paper implies that the J&O KMS success model seems to have adequate predictive power for most implied variables with the exception of System Quality. The J&O KMS success model from a practical point of view offers a means for organisations to evaluate and predict the effectiveness of KMS implementations. The results produced in this study may allow KM practitioners to know more about the levers that help to improve their KMS and thus suitably prioritise their investment plans accordingly.

Knowledge management systems success in healthcare: Leadership matters

PurposeTo deliver high-quality healthcare doctors need to access, interpret, and share appropriate and localised medical knowledge. Information technology is widely used to facilitate the management of this knowledge in healthcare organisations. The purpose of this study is to develop a knowledge management systems success model for healthcare organisations. MethodA model was formulated by extending an existing generic knowledge management systems success model by including organisational and system factors relevant to healthcare. It was tested by using data obtained from 263 doctors working within two district health boards in New Zealand. ResultsOf the system factors, knowledge content quality was found to be particularly important for knowledge management systems success. Of the organisational factors, leadership was the most important, and more important than incentives. ConclusionLeadership promoted knowledge management systems success primarily by positively affecting knowledge content quality. Leadership also promoted knowledge management use for retrieval, which should lead to the use of that better quality knowledge by the doctors, ultimately resulting in better outcomes for patients.

What role does knowledge quality play in online students’ satisfaction, learning and loyalty? An empirical investigation in an eLearning context

AbstractQuality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework – this study presents the indicators of perceived eLearning knowledge quality and its influence on students' satisfaction, which further influences their learning outcome and loyalty. In order to validate the eLearning KQ instrument and proposed relationships – data were collected from 348 online undergraduate and postgraduate students. The results of Confirmatory Factor Analysis validate five dimensions of perceived eLearning KQ – comprising Intrinsic KQ, Contextual KQ, Representational KQ, Accessible KQ and Actionable KQ. Further, the proposed relationships tested using Structural Equation Modelling demonstrated two main findings: (i) significant relationship between KQ and satisfaction – implying that students are gaining quality knowledge from eLearning content and are satisfied with it; (ii) significant relationship between satisfaction – academic performance, learning effectiveness and students' loyalty. This implies that satisfied students perceive better learning outcomes and a higher degree of loyalty towards the eLearning environment. The study contributes a causal model to encompass the distinct relationships between knowledge quality, satisfaction, learning outcomes and loyalty within an eLearning environment. Implications on eLearning delivery are also discussed.Lay Description Knowledge quality contributes to knowledge management system success. Presents the KQ as a multidimensional construct in eLearning context. Delineates the KQ significant relationship with learning outcomes and loyalty. The framework can be utilized to provide quality education at a wider level.

Antecedents of Knowledge Sourcing and Reuse from a Knowledge Repository in the Virtual Product Prototyping: The Role of Knowledge and System Quality Dimensions

Knowledge has been identified as one of the most critical resources for achieving innovation and competitive advantage. Knowledge management systems (KMS) are, therefore, being adopted by companies to enhance knowledge management (KM) processes and innovation. Because most of new products projects are not “clean-sheet” efforts, rather incremental redesigns of existing products, R&D people often retrieve and reuse existing knowledge to solve recurring problems in the prototyping of new products. Thus, knowledge sourcing and reuse are particularly important in this product development process. In the present research we investigated the antecedents of knowledge sourcing and knowledge reuse from an electronic repository. Predictions were tested in the context of the virtual vehicle prototyping process with data from 121 respondents of a large European Automotive supplier of R&D. Results provide support that knowledge accuracy, knowledge format, and knowledge completeness are strong predictors of knowledge reuse. While system integration, flexibility, and response time are considered strong determinants of knowledge sourcing in KMS. The study develops and tests a new model for measuring KMS success in the context of virtual product prototyping. Copyright © 2016 John Wiley & Sons, Ltd.

Determinants of knowledge management systems success in the banking industry

Purpose– This study aims to examine the impact from technical and social aspects on knowledge management system (KMS) success. Moreover, this study also attempts to examine the interrelationships between KMS success and user satisfaction.Design/methodology/approach– A questionnaire survey was used to collect data from the commercial bank officers to test the proposed KMS success model. All the measurement scales adopted in this study were adopted from the existing literature. The data collected in this study were analysed using both SPSS and structural equation modelling approach via AMOS.Findings– The research results indicate that both technical (knowledge quality, system quality and service quality) and social factors (user trust and management support) play a significant and positive role in system user satisfaction. The results also show that user satisfaction have a direct influence on the success of KMS and vice versa.Originality/value– This study is one of the few studies on KMS which include both the technical and social perspectives in examining KMS success. This research study raises the importance of social factors, which have been earlier neglected by many studies on KMS success models. Moreover, the interrelationships relationship between KMS success and user satisfaction also been examined in this study.

Knowledge sharing: The key factors in the success of knowledge management system in the organizational health of the employees working in the public universities of Tehran

Knowledge sharing: The key factors in the success of knowledge management system in the organizational health of the employees working in the public universities of Tehran

A novel process-based KMS success framework empowered by ontology learning technology

Organizations require empowered Information Systems (IS) and Knowledge Management Systems (KMS) to support several user’s knowledge-tasks and decision-making responsibilities. Gradually, some KMS applications founded on Artificial Intelligence and semantic technology (ontology-based) have emerged to accomplish more suitable KMS under appropriate quality levels. In parallel, the previous IS/KMS success frameworks commonly used to evaluate the demanded quality levels are just based on taxonomy of quality dimensions. In this work, we have suggested a novel Process-based KMS Success Framework which is enhanced by Ontology Learning technology. Thus, this new framework is based on a rationale combination of some quality and user dimensions of prior KMS Success Frameworks that are reinforced by a systemic hierarchy of Knowledge processes and their cyclical behaviour. Concretely, we propose a new KMS success framework that makes the best of the Ontology Learning (OL) technology to enhance the associated knowledge-process performance of this kind of KMS. A knowledge engineering case study has been included to illustrate the systemic enhancement and the results for the OL application under a specific domain using this novel framework. The OL methodological resources (MRs) such as methods, techniques, and tools used to introduce changes and to reach an empowered KMS implementation have been completed by applying an OL methodology.

Methodologies for developing knowledge management systems: an evaluation framework

Purpose – This paper aims to provide a criteria-based evaluation framework for assessing knowledge management system (KMS) development methodologies. Design/methodology/approach – The evaluation criteria have been elicited based on the features expected from a successful KMS. Furthermore, a number of prominent KMS development methodologies have been scrutinized based on the proposed evaluation framework. Findings – It was demonstrated that the proposed evaluation framework is detailed and comprehensive enough to reveal the strengths and weaknesses of KMS development methodologies. It was also revealed that even though the evaluated methodologies possess certain strong features, they suffer from several shortcomings that need to be addressed. Research limitations/implications – The evaluation framework has not been applied to all existing KMS development methodologies; however, the evaluation does cover the most comprehensive methodologies which exist in the research context. Practical implications – The results of this research can be used for the following purposes: organizational goal-based selection of KMS development methodologies, evolution of existing KMS development methodologies and engineering of tailored-to-fit KMS development methodologies. Originality/value – The proposed evaluation framework provides a comprehensive and detailed set of criteria for assessing general, area-specific and context-specific features of KMS development methodologies. KMS developers can select the methodology which best fits their requirements based on the evaluation results. Furthermore, method engineers can extend existing methodologies or engineer new ones so as to satisfy the specific requirements of the project at hand.

Factors Influencing the Knowledge Seekers in Adopting the Knowledge Management System (KMS)

One indication of KMS success is when the knowledge seeker actively access the knowledge stored within the system’s repository. Unfortunately, studies that specifically designed to provide more understanding about the behavior of the knowledge seeker with regard to their acceptance of KMS are still quite rare. The purpose of this study is to investigate the factors that influence the behavior of knowledge seeker(s) in KMS acceptance. A research model for this study was developed using the Theory of Reasoned Action (TRA), and the data was collected from 125 knowledge seekers from three companies in Indonesia. By utilizing the Squares Structural Equation Modeling (SEM) techniques with Smart PLS V2 software, the results of the statistical analysis confirmed that there is a positive correlation between the factors of management, effort and social relationship and the intention of knowledge seeker(s) in KMS acceptance. However, the correlation between the benefit factor and the intention of knowledge seeker(s) in KMS acceptance was not found.