• Journal of Digital Convergence
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• v.12 no.3
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• pp.141-147
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• 2014

Diffusion model is popular research topic in marketing and economy particularly for the areas of model specification and market size forecasting. In particular, Bass model can explain Roger's innovation diffusion and product life cycle through easy mathematical representation and hence the model has been widely used for the explanation of adopting innovative new products and technologies. Nonetheless, there're only a couple of pioneering researches about semiconductor market, using diffusion models. Consequently, we'd utilise NLS approach diffusion model to estimate the market potential of MOSFET, major switching device for power management of system, and explain the process to industry stakeholders and policy makers for delivery of managerial implication with pragmatic purpose.

• Nuclear Engineering and Technology
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• v.50 no.1
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• pp.145-150
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• 2018

A new methodology, the crack-spallation model, has been developed to analyze gas-solid reactions dominated by crack growth inside of the solid reactant and spallation phenomena. The new model physically represents three processes of the reaction progress: (1) diffusion of gas reactant through pores; (2) growth of product particle in pores; and (3) crack and spallation of solid reactant. The validation of this method has been conducted by comparison of results obtained in an experiment for oxidation of $UO_2$ and the shrinking core model. The reaction progress evaluated by the crack-spallation model shows better agreement with the experimental data than that evaluated by the shrinking core model. To understand the trigger point during the reaction progress, a detailed analysis has been conducted. A parametric study also has been performed to determine mass diffusivities of the gas reactant and volume increase constants of the product particles. This method can be appropriately applied to the gas-solid reaction based on the crack and spallation phenomena such as the voloxidation process.

• Korean Management Science Review
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• v.32 no.3
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• pp.29-36
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• 2015

In this research, we analyze the sensitivity of the network density to the estimates for the Bass model parameters with both theoretical model and a simulation. Bass model describes the process that the non-adopters in the market potential adopt a new product or an innovation by the innovation effect and imitation effect. The imitation effect shows the word of mouth effect from the previous adopters to non-adopters. But it does not divide the underlying network structure from the strength of the influence over the network. With a network based Bass model, we found that the estimate for the imitation coefficient is highly sensitive to the network density and it is decreasing while the network density is decreasing. This finding implies that the interpersonal influence can be under-looked when the network density is low. It also implies that both of the network density and the interpersonal influence are important to facilitate the diffusion of an innovation.

• Asian Journal of Innovation and Policy
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• v.1 no.1
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• pp.50-70
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• 2012

This paper analyzes the factors that determine technology innovation in Korean manufacturing firms, focusing on the role of intra-firm knowledge diffusion and market strategy in patent production. For empirical analysis, zero-inflated negative binomial (ZINB) regression is applied to the 2009 Human Capital Corporate Panel data. The empirical findings confirm the critical role of intra-firm knowledge-sharing processes in technology innovation; firms with a market-leading strategy oriented to new product development also tend to be prolific in patent production.

• Industry Promotion Research
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• v.9 no.1
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• pp.65-79
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• 2024

This study analyzed the failure cases of new products for relative benefits among various factors related to the characteristics of innovation, which is an important factor in the consumer persuasion process among Rogers (1995)'s innovation diffusion theory. This is because relative profits are the most influential factor in consumers' intention to adopt among the characteristics of various innovative products (Holak and Lenmann, 1990). As a result of analyzing the failure cases of new products of six companies, these products lacked relative profits for existing products in common. Relative profits are factors that are measured in the economic sense or are measured by social advantages, convenience, and satisfaction, and are the most important factors compared to other factors such as suitability, complexity, observability, and applicability. In the end, it was found that relative profits compared to existing products are an important success factor in persuading consumers of new products.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.1
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• pp.74-82
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• 2011

The Bass model is a cornerstone in diffusion theory which is used for forecasting demand of durables or new services. Three well-known estimation methods for parameters of the Bass model are Ordinary Least Square (OLS), Maximum Likelihood Estimator (MLE), Nonlinear Least Square (NLS). In this paper, a hybrid method incorporating OLS and NLS is presented and it's performance is analyzed and compared with OLS and NLS by using simulation data and empirical data. The results show that NLS has the best performance in terms of accuracy and our hybrid method has the best performance in terms of stability. Specifically, hybrid method has better performance with less data. This result means much in practical aspect because the avaliable data is little when a diffusion model is used for forecasting demand of a new product.

• Journal of Information Technology Services
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• v.12 no.2
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• pp.387-410
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• 2013

Due to the development of information technology, Convergence and Creative Economy became hot issues. For example, products become more intelligent and services are likely to be connected and integrated around core services or provided as bundle solution. Meanwhile products and services are integrated in the context of mutual supplementation, which leads to Servitization of Products and Productization of Services in many industries. Previous studies have addressed Convergence with different terms and definitions such as Convergent, Multicategory Multifunctional Product, Clouding Service, Bundle and so on from one perspective such as consumers, suppliers or technology according to a wide range of academic approaches. Thus, this study attempted to suggest the most typical convergence products released in the convergence environment and categorize those products. Furthermore, this study has pointed out the problems in the New Product Development Framework discussed in the studies on marketing by taking the situation of the public sector into account and then suggested "New Service Development Framework in the Public Sector" that are different from traditional e-Gov. approach basically and will enable the government to create public information service and provide them to enterprises or citizens. It also emphasized the importance of Business Conceptualization Stage in the framework; argued that there is a necessity of an integrative study from the perspective of technology on the basis of the approach from the perspective of marketing and Policy such as a study of consumer behaviors, design and marketing channel and Policy Integration for the development and dissipation; and furthermore suggested the cases-the development/Diffusion of Transportation Card Service in Seoul and CFC (Call for Collaboration) in Singapore-in order to verify the framework. There is a need to supplement New Service Development Framework so it is able to reflect the distinct characteristics of the public sector from the academic perspective and be used as practical guidelines for SI (System Integration) business to shift into IT Service business. Last but not the least, this study has suggested the limitations and the directions for the future studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.401-415
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• 2008

Upon the basis at the end of March 2005, we have the 38.91 million cellular phone subscribers over the country and the total diffusion rate of the cellular phone is reached up to 76.1%. At this moment, it can be said the most people use it since the demand is still going on. Turning to the operation company, this is serviced by the SK Telecom, LG Telecom, and KTF, and there are at least 6 manufactures producing it including Samsung, LG, KTF ever, Motorola an d SKY. Most users periodically change the service vendor to the others for buying new model or changing the service vendor. It is understood the customer's action occurred by the differences of the brand cognition. In this study, along with some parameters including the difference of the vendor's difference of satisfaction (mobile telecommunication, product), and the possibility to buy the product again, I am going to find out the relationship between the satisfaction of the provider's service.

• Journal of the Korean Ceramic Society
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• v.55 no.3
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• pp.299-306
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• 2018

In order to improve the hardness of commercial bone china, we suggested a chemical strengthening process and new glaze for its process. New glaze contained about two times more $Na_2O$ and $Al_2O_3$ and had a higher transition temperature than that of commercial frit. Chemical strengthening enhanced the hardness of the new glaze-coated bone china by over 30% compared to that of commercial product. The change of glaze composition influenced potassium ion diffusion distance and depth of strengthened layer during chemical treatment. After chemical strengthening of new glaze-coated bone china, the residual compressive stress inside the glaze was measured and found to be greater than 160 MPa.