• Knowledge Management Research
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• v.8 no.2
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• pp.31-52
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• 2007

Since the introduction of knowledge management systems, many studies have attempted to analyze its performance and identify the success factors. However, few studies have investigated the relationship between KMS technology characteristics and its quality. This paper attempts to categorize KMS technology functions into socialization, externalization, combination and internalization and then find the relationship between these functions and KMS quality. It also attempts to investigate the moderating effect of task characteristics in this relationship. Our research frame is derived from the well known task-technology fit model and the related KMS performance studies. A survey was conducted from 157 KMS users. It is found that both externalization and combination are important for KMS quality and this quality influences the KMS performance. Furthermore, it is confirmed that the task characteristics can moderate between the KMS technology and its quality.

• Knowledge Management Research
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• v.12 no.3
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• pp.39-58
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• 2011

As the information from today's knowledge-based society alters the awareness of patients and provides a wider selection of medical institutions, the reality of medical institution management is struggling compared to the past. CRM was introduced to domestic hospitals as marketing strategy to dominate the competition under varying medical environment. Thus, this research invests on CRM activity types used in hospitals and the effects of CRM activities toward loyalty and switching intention. Futhermore, we investigate the mediating role of customer relationship commitment and termination in CRM activities. The subjects in this study included three hundred customers who are using hospital settings or who had experience with using the hospital settings. The researcher collected 262 survey questionnaires from May 23th, 2011 to June first. In order to evaluate the hypothesis in this study, structural equation model was analyzed by using AMOS 18.0.

• Knowledge Management Research
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• v.16 no.1
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• pp.143-170
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• 2015

In the rapidly changing business environment, companies are introducing information technology to effectively manage internal resources in order to achieve a sustainable competitive advantage. We presented the Enterprise Social Network Service(SNS) as new information technology. Enterprise SNS provided employers with sociable functions like Facebook while supporting general task such as mail, authorization and notice. In this research, we focused on Enterprise SNS and suggested self-disclosure, enjoyment in helping others, perceived organizational support, generativity capacity as antecedent variables of Enterprise SNS usage. In addition, we verified the effect of the mediating role of generativity capacity between Enterprise SNS usage and job performance. For empirically verifying the proposed model, we collected sample data from 225 workers using Enterprise SNS and conducted analysis using a structural equation modeling. We expect that this study provides managers who are interested in introducing enterprise SNS with insights on how to facilitate enterprise SNS usage. Also, this study suggests useful theoretical implications to researchers who are interested in the use of enterprise SNS from the context of knowledge management.

• Knowledge Management Research
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• v.15 no.4
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• pp.105-126
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• 2014

Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today's convergence paradigm. The knowledge integration capability of employees has increasingly been regarded as a critical source for developing new products and services. This study investigates the influential factors of employees' knowledge integration capability and its effects. A theoretical research model was developed based on the socio-technical perspective and information processing theory. The model includes teamwork quality, expertise, IT support, and knowledge complexity as the primary influential factors of employees' knowledge integration capability. A large-scale survey was conducted for gathering data (a total of 316 samples from 141 organizations) to test the proposed model. The test results of the hypotheses show that expertise and knowledge complexity are the significant influential factors of employees' knowledge integration capability, and also the capability has a positive effect on the knowledge creation performance of employees. Our findings contribute to the development of initiatives for promoting employees' knowledge integration capability, especially in knowledge intensive organizations focusing on convergence products and services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3068-3085
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• 2021

The economics of big data knowledge, especially cloud computing and statistical data of consumer preferences, has attracted increasing academic and industry practitioners' attention. Firms nowadays require purchasing not only external private patent knowledge from other firms, but also proprietary big data knowledge to support their new product development. Extant research investigates pricing strategies of external private patent knowledge and proprietary big data knowledge separately. Yet, a comprehensive investigation of pricing strategies of these two types of knowledge is in pressing need. This research constructs an overarching pricing model of external private patent knowledge and proprietary big data knowledge through the lens of firm profitability as a knowledge transaction recipient. The proposed model can help those firms who purchase external knowledge choose the optimal knowledge structure and pricing strategies of two types of knowledge, and provide theoretical and methodological guidance for knowledge transaction recipient firms to negotiate with knowledge providers.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.2
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• pp.131-156
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• 1998

Cooperative query answering is a research effort to develop a fault-tolerant and intelligent database system using the semantic knowledge base constructed from the underlying database. Such knowledge base has two aspects of usage. One is supporting the cooperative query answering Process for providing both an exact answer and neighborhood information relevant to a query. The other is supporting ongoing maintenance of the knowledge base for accommodating the changes in the knowledge content and database usage purpose. Existing studies have mostly focused on the cooperative query answering process but paid little attention on the dynamic knowledge base maintenance. This paper proposes a multi-level knowledge representation framework called Knowledge Abstraction Hierarchy (KAH) that can not only support cooperative query answering but also permit dynamic knowledge maintenance. The KAH consists of two types of knowledge abstraction hierarchies. The value abstraction hierarchy is constructed by abstract values that are hierarchically derived from specific data values in the underlying database on the basis of generalization and specialization relationships. The domain abstraction hierarchy is built on the various domains of the data values and incorporates the classification relationship between super-domains and sub-domains. On the basis of the KAH, a knowledge abstraction database is constructed on the relational data model and accommodates diverse knowledge maintenance needs and flexibly facilitates cooperative query answering. In terms of the knowledge maintenance, database operations are discussed for the cases where either the internal contents for a given KAH change or the structures of the KAH itself change. In terms of cooperative query answering, database operations are discussed for both the generalization and specialization Processes, and the conceptual query handling. A prototype system has been implemented at KAIST that demonstrates the usefulness of KAH in ordinary database application systems.

• Knowledge Management Research
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• v.12 no.4
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• pp.121-132
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• 2011

Failure, the research object, means situations when goals and their results are different, which has developed presenting various aspects from ancient times and modern times. Failure is a complex concept which essentially requires judgement, and also a relative concept which can be changed depending on how you set up time base and standard. There are four stages for failure study to have been developed from studying failure through historical facts to the approach of organizational theory and it has been studied by looking at the failure of an organization according to different categories such as a developmental stage, a type of business, a period and a course. Compared with success science, failure study has not been studied sufficiently and also the level of its analysis is low. Thus, since lessons of failure tend to repeat themselves instead of being didactically accumulated, there need more studies on this. This thesis identified the main cause of the failure through various studies regarding failure which have been conducted at home and abroad. What the main cause of the failure that more than three studies mentioned have in common was that it occurred because organizations concentrated on the inside without communicating with external environment. The key point of failure study is to analyze failure, utilize it as assets, and create a frame of failure management. This thesis focused on delivering fragmentary knowledge on failure study, but case studies regarding this subject should be done in the future.

• Journal of Information Science Theory and Practice
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• v.9 no.4
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• pp.35-49
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• 2021

In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.

• Journal of Korean Clinical Nursing Research
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• v.14 no.2
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• pp.5-17
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• 2008

Purpose: The purpose of this study was to examine the effects of education regarding postoperative pain management provided for nurses as well as patients on related factors of pain management, including nurses' knowledge and attitude of postoperative pain, and the level of pain that patients felt after surgery. Method: A quasi-experimental research design was used in this research. Twenty-one nurses currently working in general surgery units and 32 patients who were taking on abdominal surgery in A university hospital were participated in this study. The three week-educational program of postoperative pain management including lecture, quiz, poster and discussion was provided for nurse participants. The postoperative pain management education for each patient was provided one day before his/her own operation for 20 minutes with the pamphlet developed by researchers. For assessing the effects, nurses' knowledge and attitude about pain management, patients' postoperative pain, pain control barriers, and satisfaction of pain management were measured. Results: The nurses' knowledge about pain management and the patients' satisfaction of pain management in the experimental group were higher than in the control group. The patients' postoperative pain in the experimental group was lower than in the control group. Conclusion: With the above results, the postoperative pain management education could be an effective nursing intervention for pain management of patients who were taking surgery.

• Knowledge Management Research
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• v.22 no.3
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• pp.129-149
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• 2021

Research on social hierarchy is a growing research topic in the studies of management and organization. Despite the abundance of studies demonstrating the relevance of social hierarchy in teams, little understanding exists for status disagreement among team members, specifically how status disagreement reduces team members' contributions to influence team performance. This conceptual study argues that team status disagreement negatively impacts team performance through reduced team member's knowledge contribution, including reduced team knowledge sharing and increased knowledge hiding. In addition, we propose that team skill differentiation aggravates the negative effect of status disagreement, such that when team skill differentiation is high, teams under high status disagreement are more likely to experience detracted team performance. This research mainly discusses status disagreement and its effect on team knowledge contributions by reviewing previous literature and developing several propositions, suggests theoretical contributions and practical implications, and presents an agenda for future research.