Measuring the ROI on Knowledge Management Systems

The purpose of this study is to examine the effect of the knowledge management (KM) system on the hospital services performance. The hospital located in DKI Jakarta (Indonesia) that has implemented the KM system as a pilot project is the population of this research. Where the respondents are medical personnel at the hospital. This study analyzes the correlation between the use of KM systems and the performance of hospital services, using independent-samples T-tests and ANOVA tests from SPSS and R Commander programs to prove the hypothesis of the two variables, namely the use of KM systems (capabilities) and hospital services performance. The results of this research have succeeded in proving that there are significant differences between medical personnel who rarely use the KM system and who often use it, with those who often have a greater level of service performance. Thus, it can be concluded that the KM system used by hospital has a positive effect seen in the performance of medical personnel.

Many mobile knowledge management (KM) systems have been described in the literature having unique and interesting features, each being inserted into a specific application domain. This fragmentation in the application domain makes it difficult to compare and define a set of core features of mobile KM systems. Analysing and comparing features and strategies of several systems from different application domains makes it possible to identify the core features that form a mobile KM system. Consequently, we may use these core features to define the evaluation and comparison framework of mobile KM systems, regardless of its application domain. The purpose of this work is to define these core features and discuss their importance, through the analysis of six mobile KM systems, highlighting the positive and the negative aspects of the KM processes. The contributions of this work are the framework and the list of core features of mobile KM systems.

Many mobile knowledge management (KM) systems have been described in the literature having unique and interesting features, each being inserted into a specific application domain. This fragmentation in the application domain makes it difficult to compare and define a set of core features of mobile KM systems. Analysing and comparing features and strategies of several systems from different application domains makes it possible to identify the core features that form a mobile KM system. Consequently, we may use these core features to define the evaluation and comparison framework of mobile KM systems, regardless of its application domain. The purpose of this work is to define these core features and discuss their importance, through the analysis of six mobile KM systems, highlighting the positive and the negative aspects of the KM processes. The contributions of this work are the framework and the list of core features of mobile KM systems.

This study investigates the factors affecting the perceived usefulness of and the intention to use knowledge management (KM) systems by students. The research model posits that the intention to use KM systems in higher education depends on perceived usefulness, perceived user-friendliness, organizational rewards, and community of practice. A survey method was used to collect the data for the study. We used a convenience sample consisting of undergraduate students enrolled in various business courses in a Canadian University. The data obtained from a sample of 120 students were initially factor analyzed to identify the relevant factors. Separate factor analysis was conducted for each of three types of measures – the independent measures, the intermediate measures, and the dependent measure. In order to test the proposed hypotheses, we employed the method of multiple regression analysis. The findings suggest that organizational rewards and KM system characteristics positively impact perceived usefulness, and that user-friendliness, usefulness, organizational rewards, and community of practice are significant predictors of intention to use KM system. This analysis reveals that business schools need to focus on usefulness and practical relevance of knowledge captured in knowledge management systems. This is in line with the current debate in management education regarding the appropriateness of methods employed to teach business knowledge. Organizational rewards being a significant predictor of intention to use KM systems corroborate the expectancy theory. Therefore, it is important for business schools to communicate on the usefulness of their KM systems but also to encourage its usage through different incentives.

Using case-based reasoning (CBR), the authors integrate the techniques of cognitive task analysis (CTA), hierarchical clustering and ontology and propose a Web-based CBR knowledge management (KM) system for investigating the construction of a KM system with multiple information techniques to support KM activity in industry. The maintenance service centres of a computer company are used as an example to illustrate extracting the maintenance knowledge necessary to construct a PC troubleshooting KM system. The effectiveness of applying a Web-based CBR KM system to support KM activities in the KM life cycle is subjected to practical verification.

Discussions at previous HICSS conferences have shown that there is no general agreement on definitions of knowledge management (KM) and knowledge management systems (KMS) success. A deep understanding of these concepts would help to design and implement efficient KM initiatives and systems. We present an exploratory research study to begin and facilitate a debate that will hopefully lead to a consensus definition of KM and KMS success. We chose an expert panel approach followed by two exploratory surveys to approach the KM and KMS success definition. The research shows only a few points of consensus. We present areas of agreement as well as of disagreement, which serve as a good starting point for further discussions on KM and KMS success

The present study is focusing on the characteristics of knowledge harvesting continuity management, and knowledge management. This begins from reviewing the previous research papers on knowledge management and information systems following with some recommendations to an ideal knowledge management system. This paper worked on an organized analysis of 32 empirical refereed articles on knowledge harvesting, continuity management, and knowledge management. Findings of the study state that an organization must integrate its knowledge management system, knowledge harvesting, and management functioning to decrease the loss of knowledge at the time of knowledge worker leaving the organization.

The increasing importance given towards knowledge management (KM) implementation for organisational success is hardly questionable resulting in significant attention directed towards KM systems. The extended IT industry has been quick to promote the notion that KM and in turn KM systems not only lowers cost structures and increases strategic flexibility but also facilitates knowledge creation and utilization. Conversely, many KM systems have proven unsustainable to date, exhibiting low quantity and quality of knowledge, with systems falling into disuse. Knowledge is generally assumed to be largely cognitive and therefore, highly personal and dynamic. Knowledge workers too do not like to be ‘managed’ and have the tendency to resist systematic attempts to manage and dictate contributions. KM systems on the other hand are seen to require systematization and control of knowledge. Such a mismatch has seen most KM systems today being reduced to nothing more than a management fad and an illustrious information management system failing to achieve its intended aims. This position paper espouses important tenets when operationalising KM. The paper highlights the need to contextualise KM initiatives by studying human practices as a development process with the introduction of Activity Theory. The paper also examines the need to co-create knowledge workers by understanding human consciousness and motivation as value with key drivers. The authors have also espoused the need to foster a conducive KM environment to spur KM implementation.KeywordsKnowledge management (KM)Knowledge management system (KMS)Activity theory (AT)Co-creation of value

One of the key factors for enabling sustainable construction is facilitating the acquisition, transfer, and exchange of knowledge about sustainable construction practices (SCPs). However, knowledge about SCPs is complex, interdisciplinary, multi-faceted, and context-sensitive. Semantic modeling is a key to achieving context-awareness. The development of a context-aware knowledge management (KM) system can be successfully achieved based on a semantic (computer-understandable and meaning-rich) model. This paper proposes an epistemic model for SCPs based on epistemology (the theory of knowledge and knowing). The proposed epistemic model is a theory-based, semantic model for representing and reasoning - in a context-aware manner - about: 1) the knowledge of SCPs and 2) the process of knowing this knowledge. This paper starts by presenting our analysis of the requirements of sustainability KM in the construction domain and the limitations of existing methods and systems. It follows by presenting our modeling approach for KM system development, which is epistemology-based, context-aware, and semantic. Finally, the paper presents our initial modeling efforts towards a formal epistemology for SCPs and discusses its application as the backbone of our proposed KM system.

In today’s globalized economy, multinational corporations like PT. STI face significant challenges in enabling seamless knowledge sharing across culturally and linguistically diverse teams. This study proposes an Artificial Intelligence-based Knowledge Management (KM) system to address language and cultural barriers causing operational inefficiencies such as project delays and reduced productivity at PT. STI. Using a mixed-methods approach, the research applies the Asian Productivity Organization (APO) KM Framework to evaluate the company’s KM maturity, the Analytical Hierarchy Process (AHP) to prioritize AI features, and the Technology Acceptance Model (TAM) to assess employee perceptions of the system's usefulness and ease of use. Quantitative data from APO KM and AHP surveys were complemented by qualitative insights from semi-structured interviews with key personnel. The APO KM assessment shows PT. STI at the "Expansion" KM maturity level with a score of 135.14, highlighting weaknesses in knowledge processes, technology, and outcomes. AHP analysis identifies Real-Time Translation (RT) as the top feature (44%), followed by Automated Tagging/Categorization (AT) and Contextual Q&A/Summarization (CQ). Employee interviews corroborate these findings, demonstrating strong willingness to adopt the system due to its potential to overcome cross-lingual communication barriers and improve knowledge accessibility. The proposed AI-based KM system provides PT. STI with a framework to reduce language barriers, minimize knowledge silos, and boost operational efficiency. It is expected to shorten project timelines, lower costs, and increase client satisfaction, offering valuable insights for multinational corporations facing similar challenges.

This article will describe the background, basic infrastructure, and future trends of collaborative knowledge management (CKM) and enterprise knowledge management (KM) systems. CKM is about capturing the information that is in people’s heads and sharing it in a collaborative manner (e.g., an open, application-independent framework that allows all to have access to it) across the enterprise. In order to take advantage of the knowledge that exists in organizations, an authoring process must be undertaken that categorizes and places important information into a shared resource (often referred to as a “knowledge repository”) that can be assessed by all relevant stakeholders. Collaboration should be across departments, various types of employees, and different types of projects within the enterprise. Some of the important topic areas that will be discussed in this article are the focus on the benefits of CKM and enterprise KM systems and the recent attempts to define the return-on-investment (ROI) of sharing knowledge across organizations.

Introduction. Today, in the era of the intellectualization of the economy, knowledge management plays an important role in building an effective strategy for the enterprise. The effective application of the knowledge management system at the enterprise reduces business risks, improves the speed and quality of decision-making processes, promotes innovative activity, and leads to an increase in the competitiveness of the enterprise. By applying an effective knowledge management system, an enterprise can achieve significant savings of resources, which is difficult to achieve using traditional management models and methods. The purpose of the paper is to research and analyze the knowledge management system of the enterprise, as well as to formulate recommendations for the development of effective technology for implementing the knowledge management system at the enterprise. Results. The knowledge management system of the enterprise today occupies a central place in the research of many domestic and foreign scientists. Its main elements are objects, subjects of knowledge, knowledge management goals and tasks, knowledge management processes, knowledge management functions and principles, approaches to knowledge management, as well as knowledge management culture. To improve the process of development and implementation of the knowledge management system at the enterprise, the authors proposed a recommended technology that consists of 9 consecutive stages, the priority of which are: identification of the business bottlenecks, analysis of the knowledge available at the enterprise, development of the enterprise’s knowledge management strategy, creation of a department at the enterprise that will be responsible for knowledge management, as well as the development of knowledge management tools. Conclusion. Implementation and application of the recommended technology for the development and implementation of the knowledge management system will allow the enterprise to clearly organize the knowledge management system and thus improve the efficiency of operations and achieve resource savings that cannot be achieved using traditional management mechanisms.

In software development, requirements changes cannot be avoided. Despite the importance of requirements change management, few studies in the literature concern requirements change knowledge management(RCKM). This study explored knowledge transfer and sharing of RCKM based on change cause analysis and the design of a knowledge management system(KMS) for change management. In this paper, previous research is discussed in three aspects: factors affecting knowledge transfer and sharing, methods to implement knowledge transfer and sharing, and the design of a KMS. After that, the results of a recent questionnaire are analyzed. Finally, this paper discusses the sources of tacit knowledge in the personnel management aspects of software development; the knowledge and the methods of knowledge transfer and sharing in the requirements change management process based on change cause analysis; the design of a data flowchart of repositories, and a prototype structure, logical model, and functional modules of RCKM systems. In conclusion, further study is suggested.

Developing an activity-based knowledge management system for contractors

PurposeFocusing on the Indian context, with the increase in the amount of data and its analysis in health-care knowledge management (KM), the privacy concerns rise which results in loss of trust of an individual in e-health-care systems. Privacy issues in health care, specific to India, are caused by prevalent complacency, culture, politics, budget limitations, large population and infrastructures. Because of these factors, data security requires a backseat that allows easy access to confidential information. Furthermore, the prevalent culture affects health-care disclosure in India. In many cultures, disclosing sensitive personal health-care data is considered ill mannered. This leads to discrepancies in the recorded health-care data and a decrease in the level of treatment meted out. The results and statistics of treatments given do not match the records because of inaccurate data reporting. With the significant rise in the analysis and use of technology in health-care KM systems, it is important to understand the perception of KM in terms of its use and awareness about data sharing in the KM system. The purpose of the paper is to measure the perception of privacy issues in the context of Indian healthcare management systems.Design/methodology/approachTo measure the perception of the use of the KM system, a set of 20 questions was circulated with a sample size of 337 which includes health-care researchers, doctors, practitioners and patients. The questions focused upon the use, share the sensitive health data in the KM platform. All the demographic information such as age, sex, religion, occupation is recorded. The privacy of the individual is maintained while circulating the questionnaire. The usage of health KM system and its privacy is measured through means and t-test.FindingsThe results of the t-test were found positive. This research study finds that the privacy factor is important among the Indians to share the information with the KM repository. It is also found that medical practitioners or data custodians are not much serious about sensitive data is being stored for analysis. From the statistical perception of usage of KM and its privacy, new architecture and privacy guidelines were suggested which can be considered in future research.Research limitations/implicationsFrom the literature review, the questionnaire has developed which can help policymakers and hospital administrators collect information about KM processes in health-care organizations, and this can result in higher performance of health organizations. The privacy factor can also be included in typical health KM architecture ensure that while knowledge acquisition process, privacy of individual or organization can be maintained.Social implicationsKM enhances the value of corporations and business industries through knowledge production, distribution and provides reliable access to the knowledge resources. KM in health care can comprise a confluence of formal methodologies and techniques to facilitate the creation, identification, acquisition, development, preservation, dissemination and finally the utilization of the various facets of a health-care enterprise’s knowledge assets. According to IBM Global executive report in the year 2012, the entire health-care system has changed from diseases-centric to patient-centric. India is emerging in terms of revenue and employment in the health-care field. The advances of information and communication technology help the health-care sector streamline for data structure and access and health analytics.Originality/valueIn India, the KM is frequently used in health-care industries majorly by health-care practitioners and professionals. As health-care data and knowledge are considered to be sensitive, the privacy of an individual while using the data cannot be compromised. The proposed empirical work will provide a solution in determining the main barriers of implementing privacy policies that need to be solved first and to ensure effective implementation of KM in the health care of India.