• Journal of Digital Convergence
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• v.18 no.4
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• pp.357-369
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• 2020

This study aimed to examine the coping, self-disclosure, rumination, organizational culture and degree of Posttraumatic Growth(PTG) of firefighters who experienced trauma, and to identify the factors that influence PTG. Data collection was conducted for 103 firefighters working at three fire departments located in Gyeongsang-do. As a result of the study, 46(44.7%) PTGs of medium to high level averaged 58.07 points, and the total PTG average was 44.56 points. The influenced factors affecting PTG in firefighters were emotional-focused coping(EFC), self-disclosure(SD), deliberate rumination(DR) and innovative-oriented culture(IOC).The explanatory power of these factors PTG was 45.9%. In order to promote the firefighters 'PTG, it is necessary to approach of EFC, SE, and DR but also an organizational aspect as well as IOC construction, and these results can be used as an arbitration plan to improve the firefighters' PTG.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.101-115
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• 2009

This study analyzed the diffusion process of digital convergence products focused on camera phon to compare the traditional adoption-diffusion model with use-diffusion model proposed by Shih and Venkatesh(2004). The results suggested that observability, perceived usefulness, innovativeness, relative advantage have effects on the intention of repurchase in the adoption-diffusion model. On the other hand, the intention of repurchase has been affected by technological sophistication, satisfaction, innovativeness, relative advantage in the use-diffusion model. These results imply that the traditional adoption-diffusion model could be applied to the cases of the digital convergence products. In addition, the results also show that the use-diffusion model is superior to the traditional model in analyzing the diffusion of digital convergence products.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.179-184
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• 2020

본 연구는 확장된 합리적 행동이론(ETRA)을 이용하여 주식투자 시 자본시장심리지수를 기반으로 한 어플리케이션의 선택행동에 영향을 끼치는 요인들과 투자자의 휴리스틱과의 관계를 알아보는데 있다. 연구자는 개별 투자자의 휴리스틱이 선택행동에 영향을 미칠 것으로 추정하고 대표성 휴리스틱, 가용성 휴리스틱, 감정 휴리스틱을 측정하여 선택행동에 영향을 미치는 매개변수로 분석을 하였다. 연구모델의 경로계수 분석결과는 다음과 같다. 첫째, 독립변수인 투자기회확장 그리고 매개변수인 휴리스틱 중 대표성 휴리스틱이 행동의도에 영향을 미치는 것으로 나타났다. 둘째, 행동의도가 종속변수인 선택행동에 영향을 미치고 매개변수인 가용성 휴리스틱이 선택행동에 영향을 미치는 것으로 나타났다. 연구모형에서 대표성 휴리스틱에 영향을 주는 독립변수는 혁신적 성향, 투자기회확장, 사용비용, 그리고 인지된 효익이며 반면에 가용성 휴리스틱에 영향을 주는 독립변수는 혁신적 성향과 투자기회확장으로 밝혀졌다. 매개효과 검증결과에 의하면 서비스다양성은 선택행동에 영향을 미치는데 휴리스틱의 매개효과가 없고 직접효과만 있는 것으로 밝혀졌다. 반면에 투자기회확장은 선택행동에 미치는 직접효과는 통계적으로 유의하지 않고 매개변수 휴리스틱의 간접효과 값이 0.217이고 통계적으로 유의하여 매개효과가 있는 것으로 밝혀졌다. 휴리스틱의 매개효과를 개별적으로 확인한 결과 첫째, 대표성 휴리스틱은 매개효과를 통한 간접효과가 없는 것으로 확인되었다. 둘째, 가용성 휴리스틱은 매개효과의 크기가 0.1360이고 경로계수가 통계적으로 유의하게 나타나 매개효과를 통한 간접효과가 있다는 것을 확인하였다. 따라서 독립변수 투자기회확장은 시장 심리지수를 기반으로 한 어플리케이션에 대한 선택행동에 영향을 미치는데 직접적으로 영향을 미치지 않고 투자자의 가용성 휴리스틱이 매개가 되어 간접적으로 선택행동에 영향을 나타내는 것을 실증적으로 확인하였다.

• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.651-668
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• 2023

This study aims to help companies with efficient investment and marketing strategies by empirically verifying the impact on satisfaction and purchase intention for artificial intelligence-based digital technology supported shopping assistants introduced in e-commerce. Frequency, factor, SEM, and multiple group analysises were conducted using SPSS 26.0 and Amos 26.0. As a result, first, motivated consumer innovativeness elements of AI shopping assistant were derived into a total of four categories: functional, hedonic, rational, and reliable. Second, in the order of hedonic and rational, satisfaction with the AI shopping assistant was significantly affected, and in the order of rational and functional, purchase intention was significantly affected. The satisfaction with the AI shopping assistant did not affect the purchase intention. Third, in the case of hedonic, the AI-preferred group had a more significant effect on satisfaction than the human-preferred group, and in the case of rational, there was no difference by group in purchase intention. Thus, it was found that consumers prefer AI shopping helpers for e-commerce because they can shop reasonably and are functionally convenient. Therefore, when introducing AI shopping assistants, it is essential to include content that can compare and analyze fundamental information, such as product prices, as well as search functions and payment system compatibility that facilitate shopping.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.2
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• pp.127-148
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• 2018

This study defined the influence of the quality of job information websites and of user characteristic factors on the user satisfaction and on the intention of the use thereof based on the technical acceptance model to activate research on job information or job information websites in the category of Library and Information Science, amid studies on the Fourth Industrial Revolution in various disciplines emerging. 230 users experienced in job information websites were surveyed. The surveyed data were analyzed by applying the structural equation model. The results are as follows. Accuracy, security, self-efficacy, the perceived easiness of use had a positive effect on the perceived usefulness. Up-to-dateness, self-efficacy, individual innovation had a significant effect on the perceived easiness of use. The perceived usefulness and the perceived easiness of use had a positive effect on user satisfaction, and the user satisfaction had a significant effect on the intention of use.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.107-118
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• 2012

Smart TV is expected to take the center stage of the recent "smartization" trend in IT and consumer electronics as it performs a hub for various smart IT devices, such as smart phone, smart pad, PC, etc. It is distinct from traditional TVs or even IPTVs in the sense that it provides immersive and interactive experiences via apps downloaded through TV app store. Smart TV could serve as a new intermediary device between other smart devices and the Internet. While it started experiencing a rapid growth, little research has been conducted to understand this emerging technology in terms of its user acceptance and adoption by users. The current research attempts to fill the gap in the field by examining factors and processes for this new technology to be adopted by users. This paper draws on theories of IT acceptance and use, such as the "Unified Theory of Acceptance and Use of Technology", to investigate factors affecting "intention to use" of smart TV. The proposed research model is analyzed using the structural equation modeling approach. Findings show that such factors as innovativeness, switching cost, switching benefit, service interface, and user interface affect users' intention to use smart TV, through effort expectation, performance expectation, and social influence. Theoretical and managerial implications are discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-199
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• 2015

The purposes of this study are to examine the predictability of variables related to SNS intention to use in collaborative learning and provide some new implications. Based on Technology Readiness and Acceptance Model (TRAM), we hypothesized that optimism, innovativeness, discomfort, insecurity as personal disposition variables, subjective norm as a social variable, and perceived usefulness and perceived ease of use as cognitive variables would predict SNS intention to use. For this study, 274 'Share Leadership' students in E university completed surveys and it was analyzed by multiple regression analysis. The results of this study showed as follows. First, optimism, innovativeness, discomfort, and subjective norm predicted perceived ease of use. Second, optimism, insecurity, subjective norm and perceived ease of use predicted perceived usefulness. Third, subjective norm, perceived ease of use and perceived usefulness predicted SNS intention to use. From this, it is revealed that positive technology readiness predict much more than negative technology readiness do and the role of teacher and peers is very important.

• The Journal of Information Technology
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• v.3 no.3
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• pp.135-152
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• 2000

This study intents to discover the variables impacting consumer's purchase intention through the electronic commerce based on concerning the Flow experience in an environment using computer as a medium and furthermore it is based on a premise that its influence on purchase intention can vary. The following are the synopsis and findings of our analysis. First, analyzing the awareness of perceived risk and level of involvement depending on the level of skill and challenge, which are conceptual structural dimensions, we found that, the higher the level of skill, the lower the awareness of perceived risk, and for challenge, the level of involvement increased. Second, since the sense of perceived risk, level of involvement and purchase intention had a negative influence and were found to have cognizable relationship with one another statistically, this has negative impact on the level of involvement depending on the level of sense of perceived risk in electronic commerce. Third, analyzing the purchase intention depending on the level of involvement, we found out it has a highly positive influence on purchase intention. Furthermore, the level of involvement and purchase intention were found to be closely related to each other.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.2
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• pp.73-85
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• 2020

While Korea became one of manufacturing powers in the world through a fast-follower strategy as well as implementing the approach of advancing manufacturing business focused on quantitative input, The advent of the fourth industrial revolution and demand becoming more complicated than ever both require a system that quickly detects the change of markets in advance and reflects it in the manufacturing strategy. Accordingly, the introduction of a smart factory is not optional but mandatory in order to strengthen the competitiveness of manufacturing business using ICT. This paper aims to investigate key factors having influence on the intention to continuously use a smart factory, the innovative IT device, on the basis of the technology acceptance model. This paper analyzed the influence of the leadership of CEO, organizational learning and perceived switching costs on the intention to continuously use a smart factory by the parameters of perceived ease of use and usefulness, the major belief valuables of the IT acceptance model.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.125-160
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• 2021

Unlike existing social platforms that seek openness, an audio-based social platform is characterized by its limitations. This study uses the Value-Based Acceptance Model(VAM) to analyze the role that such limitations play in the user's acceptance of audio-based social media. In this study, restrictive properties are defined as access-limitation, communication-limitation, and content-limitation. This study aims to analyze the effect of each variable on the perceived value and usage of audio-based social media. The hypothesis test was conducted based on the survey responses total of 207 users and potential users. The results was analyzed that three limiting variables affect perceived benefit factors, usefulness and playfulness, and the user's acceptance intention. This study is significant in that it presents a model based on the VAM and provides guidance for new forms of social media growth.