• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.415-436
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• 2022

This study was conducted by the customer survey of 15 to 65 years old in order to identify the user behavioral effects of perception and characteristics on the common essential applications of smartphones with the United Theory of Acceptance and Use of Technology (UTAUT) and Value-based Acceptance Model (VAM). As a result, it was found that performance expectancy, enjoyment, facilitating conditions, effort expectancy, and social influences, excluding information privacy concern, have a positive effect on use behavior. The moderating effect by age was found that the youth was higher between perceived value and behavioral intention, and the middle-aged was higher between enjoyment and perceived value. This study has significance in providing implications for establishing strategies on designing and pre-loading apps, and increasing usage rate.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.279-290
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• 2022

The popularization of mobile Internet applications has accelerated the development of smart tourism industry. Based on TAM and VAM theories, this paper studies the influencing factors of tourism App users' willingness to continue using through complex network and data analysis methods. Through the research, it is found that the improvement of service level and design concept of smart tourism application can accelerate the aggregation of complex networks and improve user engagement. At the same time, reasonable price service experience value, convenience service experience value, interactive service experience value, emotional design perception, ease of use design perception, entertainment design perception and other factors can have a direct impact on users' intention to continue to use, and there is a significant correlation. The smart tourism App's convenience and price advantage are the root of its competitiveness. The design concept can affect users' emotional experience and perceptual experience, and help smart tourism App improve users' satisfaction.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.4
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• pp.143-156
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• 2023

The domestic threat information sharing system to deal with various security threats in the rapidly changing cyber environment needs to be improved. In this study, to solve these problems and promote the activation of threat information sharing, we derive a research model based on the value-based containment model (VAM) for vital factors in information sharing. After conducting a Ricardian 5-point survey on a total of 204 individuals, the statistical results of the first 151 individuals were analyzed using SPSS and AMOS, and the statistical results of the second 204 individuals were analyzed using R-Studio. As a result, perceivability was found to have a significant impact as a core factor in the activation of cyber threat information sharing (β=0.405, p<0.01), and the hindrance factor was analyzed as innovation resistance (β=-0.152, p<0.01). Microscopically, the obtained results can be applied to factor analysis for activating information sharing of cyber threats by companies in the future, and macroscopically, they can contribute to the foundational development of a national cyber threat response system.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.111-132
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• 2010

Korean telecommunications industry has a large scale market and boasts on high service quality and high technologies enough to provide the mobile video telephony service(the VTS) satisfactorily. For many years, Korean telecommunications companies have been investing enormous amount of money to advertise their VTS widely and to allow their customers to change their cell phones for the 3G(the third generation) devices indispensable for the VTS. However, despite their efforts, the VTS adoption rate in Korea is very low as of January, 2010 and it seems that customers seldom feel the necessity to use. From this viewpoint, it becomes necessary to identify antecedents influencing the intention to use for the VTS empirically. For this purpose, we have proposed several hypotheses from the perspective of the Value-based Adoption Model(VAM). We conducted a survey and found the several factors which influence the value perception of VTS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.693-696
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• 2022

The purpose of this paper is to explore the factors affecting the purchase intention of new energy vehicles, utilizing the BRA and VAM models. Based on self-interest and altruism, a model for willingness to use new energy vehicles was developed. Through analysis with analytical tools such as SPSS and AMOS, we obtained the following conclusions: Perceived value, perceived entertainment, and environmental values all have a significant positive impact on the purchase intention of new energy vehicles; Perceived risk has a negative impact on purchase intention. By conducting this research, useful suggestions can be made for the formulation of enterprise strategies, and new directions and inspirations can be provided for enterprises.

• Korean Journal of Weed Science
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• v.12 no.1
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• pp.16-30
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• 1992

A field experiment was done to evaluate the growth response, rhizobia nodulation and vesicular-arbuscular mycorrhizal fungi (VAMF) infection of soybean treated with the different concentration of three-herbicides, alachlor, simazine, linuron. The results obtained were summarized as follows ; Emergence rate of soybean was non-significantly decreased by increasing the herbicide concentration. In simazine treatment, low emergence rate showed even in recommended concentration, especially the lowest emergence rate in treble concentration of recommended dose was about 50%. The plant length of soybean lowered by increasing the herbicide concentration, but there were almost no differences in recommended dose. Particularly that in a high concentration of herbicides at three weeks after treatment(WAT) was decreased remarkably. In the plant diameter of soybean shoot, no differences in the recommended concentration of alachlor and linuron at 2 WAT, but those of recommended dose was decreased with the lapse of time, and the lowest treatment was simazine-treated plot. Leaf area and fresh weight of soybean tended to decrease over the control even in recommended concentration and it was decreased with the increment of the herbicide dose. Yield component, fresh weight of rhizobia nodule and chlorophyll content of soybean leaves were reduced with the increment of herbicide dose, espicially remarkable tendency was revealed in simazine-treated plot. Seasonal infection rate of VAM showed a slight decrease by increasing of herbicide dose, and the lowest infection was simazine treatment. Significant correlation was realized among the reduction of rhizobia nodulation, VAM colonization and the agronomic characters of soybean and it was considered that the reduction of rhizobia nodulation and VAM colonization by misapplication of the herbicides might be a causal factor for decrease in soybean yield.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.153-162
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• 2013

This paper proposes the most simple method for optimal solution of the transshipment problem. Usually the transshipment problem is solved by direct linear programming or TSM (Transportation Simplex Method). The method using TSM has two steps. First it is to get a initial solution using NCM, LCM, or VAM, second to refine the initial solution using MOD or SSM. However the steps is complex and difficult. The proposed method applies the method that transforms transshipment problem to transportation problem. In the proposed method it simply selects the minimum cost of rows about transportation problem, and then it applies the method that assigns a transported volume as an ascending sort of the costs of rows about the selected costs. Our method makes to be very fast got the initial value. Also we uses the method that controls assignment volume, if a heavy item of cost is assigned to a transported volume and it has a condition to be able to transform to more lower cost. The proposed algorithm simply got the optimal solution with applying to 11 transshipment problem.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.93-102
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• 2013

This paper proposes an algorithm designed to obtain the optimal solution for transportation problem. The transportation problem could be classified into balanced transportation where supply meets demand, and unbalanced transportation where supply and demand do not converge. The archetypal TSM (Transportation Simplex Method) for this optimal solution firstly converts the unbalanced problem into the balanced problem by adding dummy columns or rows. Then it obtains an initial solution through employment of various methods, including NCM, LCM, VAM, etc. Lastly, it verifies whether or not the initial solution is optimal by employing MODI. The abovementioned algorithm therefore carries out a handful of complicated steps to acquire the optimal solution. The proposed algorithm, on the other hand, skips the conversion stage for unbalanced transportation problem. It does not verify initial solution, either. The suggested algorithm firstly allocates resources so that supply meets demand, in the descending order of its loss cost. Secondly, it optimizes any surplus quantity (the amount by which the initially allocated quantity exceeds demand) in such a way that the loss cost could be minimized Once the above reallocation is terminated, an additional arrangement is carried out by transferring the allocated quantity in columns with the maximum cost to the rows with the minimum transportation cost. Upon application to 2 unbalanced transportation data and 13 balanced transportation data, the proposed algorithm has successfully obtained the optimal solution. Additionally, it generated the optimal solution for 4 data, whose solution the existing methods have failed to obtain. Consequently, the suggested algorithm could be universally applied to the transportation problem.

• The Journal of Bigdata
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• v.7 no.2
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• pp.173-193
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• 2022

With the revision of the Data 3 Act, the financial MyData industry was created newly. MyData services collect the financial customers' data scattered in various financial companies and provide personalized services such as personal financial product recommendation, personal expenditure advice, etc. Although MyData service started in 2022, but the use of the service has not been significantly activated. This study attempted to analyze the factors affecting the use of MyData services from the perspective of financial consumers through VAM, UTAUT2 model. The factors related to the perceived value and intention to use MyData services of financial consumers were verified using benefit and sacrifice variables. Personal Innovativeness was used as a moderating variable. As a result of this study, it was found that personal product recommendation service has an important influence on the use of MyData services, and personal innovativeness has an effect as a modulating variable. It can be said that it is meaningful as a preceding study in terms of timing because it studied the perceived value of consumers less than a year after the MyData service began. From the practical perspectives, it was possible to show the change direction and marketing points of the MyData service. In practice, it was possible to confirm the direction of the service and the marketing point.

• Journal of Venture Innovation
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• v.6 no.4
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• pp.153-170
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• 2023

Generative AI services, including ChatGPT, were becoming increasingly active. This study aimed to empirically analyze the factors that promoted and hindered the diffusion of such services from a consumer perspective. Accordingly, a research model was developed based on the Value-based Adoption Model (VAM) framework, addressing both benefit and sacrifice factors. Benefits identified included usefulness and enjoyment, while sacrifices were security and hallucination. The study analyzed how these factors affected the intention to use generative AI services. A survey was conducted among college students for empirical analysis, and 200 valid responses were analyzed. The analysis utilized structural equation modeling with AMOS 24. The empirical results showed that usefulness and enjoyment had a significant positive impact on perceived value, while security and hallucination had a significant negative impact. The order of influence on perceived value was usefulness, hallucination, security, and then enjoyment. Perceived value had a significant positive impact on usage intention. Moreover, perceived value was found to mediate the relationship between usefulness, enjoyment, security, hallucination, and the intention to use generative AI services. These findings expanded the research horizon academically by validating the effectiveness of generative AI services based on existing models and demonstrated the continued importance of usefulness in a practical context.