• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.45-53
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• 2003

This paper addresses the issues related to the development of product model and applications fer nuclear power plants based on STEP and PLIB standards. The ISO standards which can be applied are; STEP(Standard for the Exchange of Product Model Data) AP(application protocol) 221/231, AP 230/225, AP 227, ISO 13584 PLIB, ISO 15926 RDL. The data models of the AP's and ISO 15926 RDL are reviewed and an application system is proposed to exchange and share the design data of the nuclear power plant.

• The Journal of Society for e-Business Studies
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• v.11 no.1
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• pp.25-52
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• 2006

This study focuses on customer perception of security control under Internet banking environment Internet banking customers' understanding of security control is insufficient. They are not fully aware of security technologies for Internet banking. Moreover, they cannot know which control is implemented and maintained on an Internet banking site when visiting the site. This study, therefore, attempts to find the impact of customer perception of security control on Internet banking acceptance. The research model is based on the TAM (Technology Acceptance Model), and introduces trust as an additional belief. Trust has been investigated in the marketing area, and begins to be focused in e-business area. A Web survey of Internet banking users collected 845 cases. Statistical analyses, using SEM (Structural Equation Modeling), partially supported the hypotheses that perceived strength of security control has an impact on three beliefs: trust, perceived usefulness, and perceived ease of use. We also verified the impact of these beliefs on attitude toward using, on behavioral intention to use, and on actual use. It is, therefore, verified that perceived strength of security control is a determinant of Internet banking acceptance.

• Journal of Fashion Business
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• v.18 no.6
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• pp.157-173
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• 2014

The purpose of this research is to investigate the effects of fashion companies' micro-blogging marketing activities on Chinese consumer attitudes and purchasing intentions. In this research, the technology acceptance model (TAM) was used as the research framework, and innovativeness, self-efficacy, and perceived enjoyment variables were included in the model. Through an online survey, 195 respondents participated in this study. The results were as follows: fashion innovation and self-efficacy have a significant positive effect on perceived usefulness, as well as ease of use. These two factors have a significant positive effect on perceived enjoyment. Furthermore, and most significantly, this perceived enjoyment has a significant effect on the consumer's attitude toward the company, and intention to purchase the fashion company's products.

• International Commerce and Information Review
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• v.8 no.3
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• pp.143-164
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• 2006

EDI is fast becoming the standard way of exchanging business documents, not only in this country but throughout the world. The purpose of EDI is currently being used for all the most common business transactions such as purchase orders, invoice, quotes, bill of lading, status reports, receiving advices; and also for some very specific transaction. Thus, the purpose of this study, by way of literature survey and survey research are to find the effectiveness in EDI Service of Clearance Physical. The model of the Trust Dimension and EDI Provider Loyalty in EDI Service of Clearance Physical is tested here using data from 163 samples. Based on the research model, a comprehensive set of hypotheses is formulated and a methodology for testing them is outlined. some of the hypotheses are tested empirically to demonstrate the applicability of the theoretical model. In examining the relationships of the Clearance EDI determinants factors, Trust and e-loyalty show in significantly by customs practice trust, clearance EDI, EDI provider trust and clearance EDI loyalty. but that show in not significantly by a list of names, EDI benevolence.

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.299-307
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• 2006

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.644-672
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• 2019

Negative consequences incurred from employees' non-work-related computing (NWRC) have been one of the security-related issues in information intensive organizations. While most studies have focused on the factors that motivate employees to engage in NWRC, this study examines the mediating effect of moral beliefs on the relationship between sanctions and NWRC using a moral beliefs-based model. The research model posits that the formal (i.e., punishment severity and detection certainty) and informal sanctions (subjective norms and descriptive norms) enhance employees' moral beliefs against NWRC intention. From a cross-sectional scenario-based survey involving 176 employees working at banks in Mongolia, our results indicate that moral beliefs fully mediate the relationship between detection certainty/subjective norms and NWRC intention and act as a partial mediator in the relationship between descriptive norms and NWRC. The findings from this study present empirical evidence that both informal and formal sanctions could be an effective deterrent for NWRC intention through employees' moral beliefs.

• Journal of Information Technology Applications and Management
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• v.25 no.2
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• pp.53-72
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• 2018

This empirical study explored characteristics that affect the usefulness of online reviews, in the China e-commerce platform, and implemented multiple regressions to find factors that significantly influence on product sales, ultimately. Till now, prior studies have continuously revealed what factor affects usefulness of online review or product sales, only in respective terms. The point of our study is that we built two-level regression models, thereby being able to comprehensively analyze these two different targets. Before plunging into running regressions, we carefully collected 192,764 online review data for 200 products extracted from the Jingdong, the second biggest e-commerce platform in China. Also, we gathered "review sentimental scores" variable from each review and used that one as a core variable in our regression model, thus we were able to implement both quantitative and qualitative research. The evidences from the two-level regression models showed that the extent to which a product is experience good positively affects both usefulness of a review and product sales, again the usefulness of a review contributes to product sales in sequence. Also, the property of experience good has interaction effect on both for two-level regression models. Our main findings highlight the importance of role of online review to business performance of e-commerce firms.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.83-105
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• 2013

There are two ways to assess data quality : measurement of data itself and assessment of data quality management process. Recently maturity assessment of data quality management process is used to ensure and certify the data quality level of an organization. Following this trend, the paper presents the process reference model which is needed to assess data quality management process maturity. First, the overview of assessment model for data quality management process maturity is presented. Second, the process reference model that can be used to assess process maturity is proposed. The structure of process reference model and its detail processes are developed based on the process derivation approach, basic principles of data quality management and the basic concept of process reference model in SPICE. Furthermore, characteristics of the proposed model are described compared with ISO 8000-150 processes.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.327-338
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• 2013

Effective and efficient selection of IT projects is crucial for company's competitiveness. The selection of IT projects usually involves consideration of budget constraints but existing IT project selection models often neglect budget constraints. This paper presents an IT project selection model which considers budget constraints. AHP(Analytic Hierarchy Process) and Knapsack problem model have been combined to develop the proposed model, AHP-K model, where AHP is used to estimate weights of selection criteria and, then, a knapsack problem model is utilized to optimize selection of IT project while meeting the budget constraints. In this paper, a case study is provided to validate the effectiveness of the proposed AHP-K model. It has been shown that the proposed AHP-K model is better than the AHP model in terms of total utility of projects and investment efficiency.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.55 no.2
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• pp.95-104
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• 2019

This study is aimed to take a stock assessment of blackthroat seaperch Doederleinia seaperch regarding the fishing effort of large-powered Danish Seine Fishery and Southwest Sea Danish Seine Fishery. For the assessment, the state-space model was implemented and the standardized catch per unit effort (CPUE) of large powered Danish Seine Fishery and Southwest Sea Danish Seine Fishery which is necessary for the model was estimated with generalized linear model (GLM). The model was adequate for stock assessment because its r-square value was 0.99 and root mean square error (RMSE) value was 0.003. According to the model with 95% confidence interval, maximum sustainable yield (MSY) of Blackthroat seaperch is from 2,634 to 6,765 ton and carrying capacity (K) is between 33,180 and 62,820. Also, the catchability coefficient (q) is between 2.14E-06 and 3.95E-06 and intrinsic growth rate (r) is between 0.31 and 0.72.