The purpose of the present study is to explain the effects of academic self-efficacy, self-regulated learning and online task value on academic achievement and learning transfer in corporate cyber education. 202 students who completed S corporate's cyber courses in 2007 and responded to all survey participated in this study. A hypothetical model was proposed, which was composed of academic self-efficacy, online task value and self-regulated learning factors as prediction variables, and learning transfer as well as academic achievement factors as outcome variables. The results of this study through regression analysis as follows. First, learners' academic self-efficacy, self-regulated learning and online task value predict learners' academic achievement significantly. Second, except for academic self-efficacy, learners' self-regulated learning and online task value predict on learners' learning transfer significantly. Third, academic achievement plays a role as mediating value in predicting academic achievement by online task. It implies that learners' academic self-efficacy, online task value and self-regulated learning which predict learners' academic achievement and learning transfer should be considered in developing strategies for the design and operation of cyber courses.

This study proposes University 2.0 as a model case of open, flexible, and distributed learning environment for higher education based on theoretical foundations and perspectives. As web 2.0 technologies emerge into the field of education, ways of generating and disseminating information and knowledge have been drastically changed. Professors are no longer the only source of knowledge. Students using internet often become prosumers of knowledge who search and access information through the web as well as publish their own knowledge using the web. A concept and framework of University 2.0 is introduced for implementing the new interactive learning paradigm with an open, flexible and distributed learning environment for higher education. University 2.0 incorporates online and offline learning environments with various educational media. Furthermore, it employs various learning strategies and integrates formal and informal learning through learning communities. Both instructors and students in University 2.0 environment are expected to be active knowledge generators as well as creative designers of their own learning and teaching.

The purpose of the study is to develop and validate an instructional design model from the perspective of the knowledge creation. To serve the purpose, the researcher conducted 1) literature review to find causal relationship model among knowledge creation factors and to propose a hypothetical instructional design model, 2) data analysis with 50 senior level e-Learning instructional designers, and 3) testing the fitness of the proposed model and relevant causal-relational hypotheses. Results indicate; 1) the proposed model fit to the empirical evidence, 2) 6 hypotheses among 11 were validated. A typical instructional designer's personal competency was evidenced as the most powerful independent variable that predicted knowledge acquisition, knowledge sharing, and the application of the instructional models. However, the expected effect of instructional design models toward other dependent variable was not be found. In addition, further suggestions for the future research are addressed.

Effective energy consumption now becomes one of the area of knowledge management which potentially gives global impact. It is considerable for the energy management to optimize the usage of energy, rather than decreasing energy consumption at any cases. To resolve these challenges, an intelligent and personalized system which helps the individuals control their own behaviors in an optimal and timely manner is needed. So far, however, since the legacy energy management systems are nation-wide or organizational, individual-level energy management is nearly impossible. Moreover, most estimating methods of energy consumption are based on forecasting techniques which tend to risky or analysis models which may not be provided in a timely manner. Hence, the purpose of this paper is to propose a novel individual-level energy management system which aims to realize timely and personalized energy management based on context-aware computing approach. To do so, an index model for energy consumption is proposed with a corresponding service framework.

Knowledge workers' workload to register knowledge can cause quality defects in the quality as well as the quantity of knowledge that must be accumulated in a knowledge management system(KMS). To enhance the availability of a KMS by acquiring more quality-guaranteed knowledge, autonomous knowledge acquisition which outdoes the automated acquisition must be initiated. Adopting the capabilities of context-awareness and inference in the field of context-aware computing, this paper intends to autonomously identify and acquire knowledge from knowledge workers' daily lives. Based on knowledge workers' context information, such as location, identification, schedule, etc, a methodology to monitor, sense, and gather knowledge that resides in their ordinary discussions is proposed. Also, a prototype systems of the context-based knowledge acquisition system(CKAS), which autonomously dictates, analyzes, and stores dialogue-based knowledge is introduced to prove the validity of the proposed concepts. This paper's methodology and prototype system can support relieving knowledge workers' burden to manually register knowledge, and hence provide a way to accomplish the goal of knowledge management, efficient and effective management of qualified knowledge.

Vietnam is very attractive market to Korean firm. Because of changing consumer needs, competitive actions, or any other changes in Vietnam marketing environment over time, managers may need to reposition their brands through new marketing communication campaigns. For repositioning, core identity can be an important strategic objective for market managers. Using data from Vietnam, this research aims to determine core identity and to make repositioning plan with it and find considerable results.

Recently, the virtual world where avatars are playing crucial roles in connecting users with each other receives much attention from practioners as well as academicians. Especially, Second Life is one of the most prevailing website where 3-D avatars can be easily designed in line with for users' personal tastes. However, there are no studies showing how the selling agents designed in 3-D avatars can affect customer trust and purchase intention in the context of virtual world. This study is concerned with suggesting the empirical results to fill in the research void like this. Results reveal that the proposed hypotheses are proven with statistical significance.

Net present value (NPV) and return on investment (ROI) are commonly used to evaluate investment in new technologies. Sometimes, however, measuring the value of investment in new IT becomes very difficult due to its wide scope of application coupled with embedded options in its adoption. Therefore, comprehensive but easily understandable methodologies are needed to solve the complicated problems resulting from the complexity of new technologies. This paper employs a real option analysis to evaluate RFID adoption in the supply chain. Real options analysis should be a better way to evaluate a disruptive technology like RFID. However, the pure (probabilistic) real option rule characterizes the present value of expected cash flows and the expected costs by a single number, which is not realistic in many cases. To solve the problem, this paper considers the real option rule in a more realistic setting, namely, when the present values of expected cash flows and expected costs are estimated by trapezoidal fuzzy numbers.

최근 조직 내 정보시스템이 제공하는 지식과 정보에 대한 공유와 교환이 더 이상 성공적이라고 판단되지 않음에 따라 그 대안으로써 가상공동체(Virtual Community)가 주목받고 있다. 그러나, 가상공동체에서 살아있는 지식과 정보의 공유를 위해서는 공동체 안의 구성원인 리더와 구성원(팔로워) 들의 상호작용을 통한 몰입이 매우 중요하다는 인식이 확산되었다. 그러나, 이러한 몰입에 영향을 주는 리더-구성원 간의 영향관계는 충분히 연구된 바 없다. 이에 본 연구는 가상공동체에서 리더의 리더십 스타일과 팔로워의 특성 그리고 이들 간의 동기와 신뢰가 가상공동체의 몰입에 미치는 인과관계에 대해 분석하고자 하였다. '지각된 리더의 배려'로 측정된 '서번트 리더십'과 '지각된 리더의 조직지향'을 통해 측정된 '변혁적 리더십'이 구성원의 팔로워십과 동기, 리더와 조직에 대한 신뢰에 어떠한 영향을 미치는지 460명의 가상공동체 구성원을 통해 실증적으로 분석하였다. 분석결과 서번트 리더십과 구성원의 팔로워십 특성이 구성원의 몰입에 있어서 중요한 역할을 수행함을 알 수 있었다.

The main purpose of this study is to suggest a way that how government innovation ecosystem can be successfully managed by applying neuro-cybernetics approach. Innovation ecosystem is not a rare phenomenon around us. Especially national innovation managed by government relies on heavily innovation ecosystem. Unfortunately discussions of successful management of this ecosystem are rare. This study strongly urged necessity of such management by observing the case of introduction of CDMA mobile communication technology in Korea. Neuro-cybernetics was suggested as one alternative approach for the such management.

It is well known in KM (Knowledge Management) literature that a certain amount of knowledge is necessary for KM to contribute to corporate performance to some extent. However, for a company to amass knowledge is very difficult due to limited time and poor understandings from employees. Especially, it becomes harder in public organization where simulating financial motif among members is constrained. In this respect, KORAIL, one of typical and leading public organizations in Korea, shows very unique example in which KORAIL succeeds in catalyzing the knowledge circulation process among members, string the resulted working knowledge, and then sharing it to improve working performance at an individual level as well as team level. This KORAIL case will help understand how important the knowledge circulation speed is to improving the corporate performance.