This paper is aimed at proposing a new inference mechanism for B-to-B electronic commerce decision-makings, named IMITAO(Integer Matrix-driven Inference based on Transformed And-Or graph) which is based on integer matrix operation to speed up the inference. During the B-to-B electronic commerce, many kinds of negotiations are needed for mutually satisfactory decision-makings. During such negotiations, several factors including subjective and objective constraints should be considered so as to reach satisfactory decisions. In this respect, we suggest first a Transformed AND-OR Graph(TAOG) which each firm's conditions or judgement are incorporated into, and then we propose a high-speedy inference mechanism named IMITAO which basically depends on TAOG. Firms engaged in B-to-B negotiations on the Internet can get an appropriate decision support from using IMITAO for their negotiation simulations. The proposed IMITAO inference mechanism is characterized by its fast inference because its main inference procedures are based on integer matrix operation. A real-world example for B-to-B negotiations was used to prove the validity of our proposed TAOG and IMITAO approach. Experimental results showed that our approach was very useful in performing the B-to-B electronic commerce decision-makings considering a wide variety of either subjective or objective constraints.

The evolution of EDI has opened the flexible and efficient way for business to conduct a greater portion of the routine buyer-seller business activities online. This study focuses on the role of factors that change the innovation characteristics for implementation success of EDI. Three factors promotional efforts, proactive implementation strategy, and provision of technical expertise are proposed to affect EDI implementation success, as these factors directly influence three general and most important attributes of innovation relative advantage, compatibility, and complexity respectively. Hypotheses indicate that promotional efforts, proactive implementation strategy, and provision of technical expertise directly affect EDI implementation success that is represented by three variables volume, depth, and diversity. A structural equation modeling approach(LISREL) is used to analyze data from EDI adopters. The results show that proactive implementation strategy and provision of technical expertise positively affect implementation success of EDI. Given the significant impact of the wide spread use of the EDI system, this study offers quite useful insights on the factors facilitating innovation characteristics under which EDI can be successfully diffused in organizations.

Recruiting and maintaining capable IS personnel is crucial to on-time application developments and information services that can gear to corporate strategic planning and to achieve corporate goals and objectives. A shortage of fine IS staff has been always a threat to providing satisfactory IS services and a constraint that holds companies back to expand further and operate more efficiently. Therefore, it is necessary to understand factors that satisfy IS personnel and then restrain them not to leave their current job positions. However, little study has been done about what these factors are and how these factors are related to the turnover intention each other especially using domestic data. Therefore, this study suggested a structural turnover intention model and investigated relationships among the selected factors including demographic variables, career-related variables, job satisfaction, career satisfaction, organizational commitment and turnover intentions. Major findings are: i) overall, career-related variables, job satisfaction and organizational commitment significantly determine the turnover intention, ii) contrary to the U.S. studies, our IS people tend to show lower organizational commitment as they become older and get more experience, and iii) contrary to the U.S.'s findings, career-related variables are negatively related to organizational commitment. Implications and discussions of these findings are also described.

Predicting a variable using other variables in a large data set is a very difficult task. It involves selecting variables to include in a model and determining the shape of the relationship between variables. Nonparametric regression such as smoothing splines and neural networks are widely-used methods for such a task. We propose an alternative method based on a genetic algorithm(GA) to solve this problem. We applied GA to regression splines, a nonparametric regression method, to estimate functional forms between variables. Using several simulated and real data, our technique is shown to outperform traditional nonparametric methods such as smoothing splines and neural networks.

Computer-based systems operating between two or more co-operating organizations as part of their business relationship are generally referred to as inter-organizational systems(IOS). IOS automates aspects of transactional work between organizations and coordinate other activities. These systems facilitate organizational interaction as well as flows of materials, services and information. This planning provides as business direction for IOS applications, coordinates the efforts of participants, and deals with technical and non-technical IOS issues. This paper seeks to research the effect of strategic determinants of IOS to the efficiency of IOS. The determinants that selected from prior researches are top management support, is support and vendor/consultant support. The results show that the effect of top management support to efficiency of IOS was significant and this effect mediates the effect of other factors.

Faced with tougher competition in global, organizations are pressured to improve organizational productivity, including information systems(IS) departments. Especially related to IS, trying to remain competitive and up-to-date in rapidly changing world is becoming a financial burden to many organizations. Through outsourcing, organizations can provide better services and acquire and maintain a competitive advantage. In recent years IS outsourcing related researches have appeared in trade and academic literature. However the research on accounting information systems(AIS) outsourcing is very little or limited. This study attempts to empirically test the relationship between determinant factors and the degree of accounting information systems outsourcing as well as the relationship between success factors and the interactions between the degree of accounting information systems outsourcing and outsourcing success. Based on the previous studies on IS outsourcing and its related theories, determinant factors(transaction characteristic, resource performance, and risk dependence) and success factors(monitor, participation, and vendor capability) were identified and their measures were developed. Empirical results demonstrate that the change in the degree of AIS outsourcing is determined by the specificity of accounting information asset, uncertainty, the effect of internal AIS, AIS cost-effectiveness, and cost increase risks, and that monitor and vendor capability are implementation factors determining the degree of outsourcing success.

B2B(business-to-business) commerce has become the prime driver of contemporary electronic commerce. Under B2B commerce, corporations often must operate across organizational boundaries to share their business processes. Workflow management was proposed by Aalst(4, 5) to support several business partners that are involved in shared workflow processes in B2B commerce. We designed a messaging system for B2B workflow, where heterogeneous workflow management systems on each organization for trade were integrated. Based on Aalst's example in(4, 5), we analyzed B2B workflow by using class diagram, use case diagram, activity diagram, and statechart diagram of UML, and designed the messaging system, We also demonstrated a prototype system which was implemented by using Java API and XML. To compare with a holistic system such as EDI systems, the messaging system allows the business partners in B2B commerce to communicate with each other by dedicated messages and integrate each B2B interoperable workflow without any restrictions.

Recently, more firms have shown an interest in implementing knowledge management methods. However, few companies are capable of adopting knowledge management methods effectively to improve organizational performance because it is still unclear how these methods improve corporate performance. To find this relationship between knowledge management methods and organizational performance, this paper analyses effects of knowledge management methods on corporate performance empirically. 51 Korean firms are selected as a sample base for empirical tests. Knowledge management methods can be categorized into four styles; harmony, codification, personalization, and ignorance. For example, the emphasis of harmony style is on both knowledge reusability using information technologies and knowledge sharing through informal intimacy among employees. Corporate performance varies depending on styles. Harmony style is founded to be most effective for corporate performance. Personalization and codification styles don't show any difference. This outcome is in line with the general observation that both tacit knowledge and explicit knowledge are important for effective knowledge management.

Assessing user information requirements is one of the most important issues in building Executive Information Systems. Application of the Balanced Score Card method as a tool for strategic planning and performance measurement has been increasing recently in various fields. However there has been meager attempt to apply the method to user requirement analysis, in particular, for small and medium sized companies. This study surveyed 79 executives of small and medium sized companies in Korea. The study founds the applicability of BSC for analyzing user requirements of EIS, in terms of financial, customer, internal process, learning and growth perspectives. The paper also suggested several guidelines for using BSC to improve user satisfaction to the practitioners who are operating or planning to build EIS in the small and medium sized companies.

This study empirically examined the effects of 12 factors on the success of data warehousing. We also introduced the characteristics of end-user community as moderating variables. Several hypotheses were set up to identify the relationships among these variables. And the survey instrument(questionnaire) was developed to collect data. Ultimately 183 questionnaires from 61 korean firms were collected. Findings showed that 9 factors affect positive effect on the success of data warehousing. Also the characteristics of end-user community can be considered significant moderating variables between success factors and success of data warehousing.