• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.2061-2083
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• 2020

Social commerce, integration of social media and e-commerce, provides potential opportunities for consumers to talk about their ideas and exchange product-related information on online shopping platforms. Given the substantial prospects related to business opportunities and consumers' perceptions, this study explores the factors driving fulfillment of the psychological contract in social commerce platforms. This research proposes, examines, and proves a theoretical model for the post-purchase behavior of the consumers, through an empirical investigation of online questionnaire-based data, gathered from 367 consumers in a cross-sectional setting. Results show that the fulfillment of psychological contract, consumer loyalty, and affective commitment fully mediate the impact of consumer trust on platform and repurchase intention. The level of commitment toward the consumer by the platform is strongly related to the degree of consumer trust, which is reciprocated through re-purchase intentions. This study offers essential theoretical implications with regards to the social exchange theory, attribution theory, and an moderating effect of the platform empathy on consumers' trust-psychological contract fulfillment relationship. Likewise, this research has significant implications for practitioners and managers.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.89-93
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• 2009

Embedded systems are becoming more popular as many embedded platforms have become more affordable. It offers a compact solution for many different problems including computer vision applications. Texture classification can be used to solve various problems, and implementing it in embedded platforms will help in deploying these applications into the market. This paper proposes to deploy the texture classification algorithms onto the embedded computer vision (ECV) platform. Two algorithms are compared; grey level co-occurrence matrices (GLCM) and Gabor filters. Experimental results show that raw GLCM on MATLAB could achieves 50ms, being the fastest algorithm on the PC platform. Classification speed achieved on PC and ECV platform, in C, is 43ms and 3708ms respectively. Raw GLCM could achieve only 90.86% accuracy compared to the combination feature (GLCM and Gabor filters) at 91.06% accuracy. Overall, evaluating all results in terms of classification speed and accuracy, raw GLCM is more suitable to be implemented onto the ECV platform.

• 유통과학연구
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• 제21권1호
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• pp.33-43
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• 2023

Purpose: The present study demonstrates the netnography technique to explore and understand crowds' perceptions on the donation distribution by charitable crowdfunding platform official social media, Facebook. Research design, data and methodology: This paper conducts a netnography design to examine the perceptions of online communities on four prominent charitable crowdfunding platforms' Facebook. A total of 93 comments are studied by collecting and analyzing their comments thematically. Results: This study illustrates two main themes which are 'Recommended Review' and 'Non-Recommended Review'. 'Recommended Review' can be explained into six sub-themes which are 'Role of Religion', 'Encouragement to Donate', 'Platform Reliability', 'Volunteering Value', 'Platform Support', and 'Donation Convenience'. While 'Non-Recommended Review' reveals that 'Rejected Donation Amounts', 'Rejection of Advertisements', and 'Review by Authorities'. Conclusion: Online community comments play an important role in providing input to the experience of donating through charitable crowdfunding. The crowdfunding platform can make a benchmark for the services offered. The comments are needed to be given attention by maintaining the interaction between the platform and donors to recruit new donors and maintain existing donors. This study provides better understanding on online community perception towards charitable crowdfunding platforms. This study also contributes the discussion on charitable crowdfunding and online marketing literatures.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

• 유통과학연구
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• 제18권6호
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• pp.37-46
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• 2020

Purpose: This research aims to explain the influence of social media influencer (SMI), electronic word of mouth (EWOM), and perceived quality (PQ) on purchase intention (PI) of beauty products on YouTube. Youtube as the number 1 social media in Indonesia, has an important role as a promotional strategy media for beauty products. Research design, data and methodology: This study used the online survey to 210 female respondents aged 17-30 years who became a subscriber of an Indonesian beauty influencer. Simple regression and multiple regressions were performed to analyze the independent variables towards the dependent variable. Results: The results show that social media influencer, electronic word of mouth, and perceived quality simultaneously have a significant influence on purchase intention. Nevertheless, only two variables individually have a significant influence on purchase intention, which is social media influencer and perceived quality. Conclusions: Perceived quality and social media influencer could be the best strategies to increase consumers when promoting through the influencer's Youtube channel by utilizing a subscriber. While e-WOM can be influential on other social media platforms rather than on the Youtube platform. Therefore, suggested that digital marketer must use multiple social media platforms to increase consumers' purchase intention.

• 한국정보교육학회:학술대회논문집
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• 한국정보교육학회 2011년도 동계학술대회
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• pp.233-240
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• 2011

소셜 미디어 (Social Media)는 사람들이 자신의 생각과 의견, 경험, 관점 등을 서로 공유하고 참여하기 위해 사용하는 개방화된 온라인 툴과 미디어 플랫폼으로서 소비와 생산의 일반적인 흐름이 동작하지 않으며, 양방향성을 활용하여 사람들이 참여하고 정보를 공유하며 사용자들이 만들어 나간다. 이런 소셜 미디어에는 블로그(Blog), 소셜 네트워킹서비스(Social Networking Service, SNS), 위키(Wiki), 손수제작물(UCC), 마이크로 블로그(Micro Blog) 5가지가 있다. 소셜 러닝은 넓게는 사람들이 소셜 미디어를 통해 서로 협업과 집단지성을 나누며 스스로 학습하는 것으로 좁게는 소셜 미디어를 통한 학습이라고 정의할 수 있다. 본 논문에서는 소셜 미디어와 Social Learning에 대해 자세히 알아보고 초등학교에서 어떻게 활용할 수 있는지 연구하였다.

• 방송과미디어
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• 제22권4호
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• pp.11-17
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• 2017

본 고에서는 멀티 응용 데이터 플랫폼으로 진화하고 있는 하둡(Hadoop) 2.0의 주요 특징과 관련된 다양한 데이터 처리 프레임워크들에 대해서 기술하고자 한다. 기존의 맵리듀스(MapReduce) 기반의 배치 처리(Batch Processing)에 최적화되어 있던 하둡 1.0과는 달리, YARN의 등장과 함께 시작된 하둡 2.0 플랫폼은 다양한 형태의 데이터 처리 워크플로우들(Batch, Interactive, Streaming 등)을 지원할 수 있는 기능을 제공하고 있다. 또한, 최근에는 고성능컴퓨팅 분야에서 주로 활용되던 기술들도 하둡 2.0 플랫폼에서 지원되고 있다. 마지막으로 YARN 어플리케이션 개발 사례로서 본 연구팀에서 개발 중에 있는 Many-Task Computing (MTC) 응용을 위한 신규 데이터 처리 프레임워크를 소개한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.1011-1012
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• 2006

In this paper, implementation process of standard platform for T-DMB Receiver in low-cost and small-size are following: First, implement SoC for 32 bit RISC CPU and 16 bit DSP, Hardware H.264 CODEC, Post Processor or Video Display, Audio Processor, I/O Device. Second, implement Real Time OS for flexible application. Third, propose simple architecture for interface with peripheral devices using one-chip processor.

• 한국IT서비스학회지
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• 제10권3호
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• pp.31-47
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• 2011

With the saturation of the local market, the domestic media industry is searching for new growth drivers by crossing over to other industries, but due to the limited size of the market, results fail to meet expectations. Despite its strengths in cultural contents, as verified by the Korean Wave Hallyu, and advanced platform services, the industry feels threatened by the entry of global foreign media businesses in the domestic arena. This and the stagnated growth in the local media market are challenges we are facing today. On the other hand, it could prove to be a timely opportunity to transform the existing media industry structure where exporting hardware and terminals is at the heart of a globalized business into a structure based on software and contents exports. Based on such critical thinking, this study examines the current status of media markets, home and abroad, and aims to come up with strategic measures through a discussion on the issues and methods proposed for the globalization of local media businesses from a holistic viewpoint based on ecosystem, M&A and contents.

• 유통과학연구
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• 제22권3호
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• pp.21-31
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• 2024

Purpose: The primary aim of this study is to explore how social media marketing influences customer purchase intention, focusing on the roles of customer engagement and trust as mediators. Research Design, Data, and Methodology: The investigation utilized an online survey conducted in Chinese on the Questionnaire Star platform. It targeted male and female consumers aged 18 and above who purchase products online, yielding 1107 valid responses from across major Chinese cities. Results: Analysis reveals that social media marketing significantly affects customer purchase intention in a positive manner. It also enhances customer engagement and trust, which serve as crucial mediating variables linking social media marketing to purchase intention. The study found that engagement and trust facilitate brand identification and alignment, thereby directly boosting purchase intention. Conclusion: The findings offer essential insights for businesses aiming to improve their social media marketing impact on consumer behavior. It highlights the importance of fostering user engagement and trust, as well as creating a favorable brand image. These elements are key to influencing consumer purchase decisions within social media contexts. The study advises businesses to engage deeply with consumers and build trust, providing practical recommendations for navigating the evolving social media environment towards sustainable growth.