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This study analyzed consumer intention to repurchase a smartphone, using an analysis of previous research and suggesting this as a research model. To this end, factors influencing “intention to repurchase” the smartphone were derived as social influence, consumer satisfaction, emotional loyalty, and habit. In addition, statistical analysis was conducted to investigate consumer repurchase intentions and the causal relationships. It is also possible to investigate whether consumer habits are linked to repurchases by analyzing their psychological inclinations; therefore, in this study, 390 people who repurchased a smartphone over the past two years were surveyed, and data were collected. This study analyzed the causal relationships among the factors using SPSS 24.0. Moreover, the causal relationship analysis was enhanced using the artificial neural network (ANN) algorithm. With multiple regression analysis and the ANN algorithm, consumer satisfaction (0.71), emotional loyalty (0.108), and social influence (0.062) were determined to affect the intention to repurchase. This means that the ANN algorithm can be used over multiple regression analysis and improve the results of the analysis. In addition, this study also provided practitioners with a way to improve their understanding of consumer behavior intention to repurchase smartphones.
Hong Lee. A Study of Consumer Repurchase Behaviors of Smartphones Using Artificial Neural Network. Information 2020, 11, 400 .
AMA StyleHong Lee. A Study of Consumer Repurchase Behaviors of Smartphones Using Artificial Neural Network. Information. 2020; 11 (9):400.
Chicago/Turabian StyleHong Lee. 2020. "A Study of Consumer Repurchase Behaviors of Smartphones Using Artificial Neural Network." Information 11, no. 9: 400.
Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics. In addition, the Bass model was applied to the promising technologies, and each technology was studied in terms of the technology lifecycle. Eleven topics were extracted via topic modeling. A regression analysis was conducted to identify the most promising/mature technology, and the results were analyzed with three promising technologies and five mature technologies. Promising technologies include Augmented Reality (AR)/Virtual Reality (VR), Image Recognition and Identification Technology. Mature technologies include pattern recognition, machine learning platforms, natural language processing, knowledge representation, optimization, and solving. This study conducts a quantitative analysis using patent data to derive promising technologies and then presents the objective results. In addition, this work then applies the Bass model to the promising artificial intelligence technology to evaluate the development potential and technology diffusion of each technology in terms of its growth cycle. Through this, the growth cycle of AI technology is analyzed in a complex manner, and this study then predicts the replacement timing between competing technologies.
Hong Lee; Hoyeon Oh. A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development. Sustainability 2020, 12, 5609 .
AMA StyleHong Lee, Hoyeon Oh. A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development. Sustainability. 2020; 12 (14):5609.
Chicago/Turabian StyleHong Lee; Hoyeon Oh. 2020. "A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development." Sustainability 12, no. 14: 5609.
Today, along with national economic growth and job creation, the need for entrepreneurship is increasing throughout all societies. In particular, entrepreneurship has important influences on national economies including reviving company economies, creating jobs, etc. In addition, Entrepreneurship or new firm formation plays an increasingly important role in knowledge-based economic development. In this study, research was conducted as follows. First, various research hypotheses were established through analysis of previous studies. Second, based on the research hypotheses, a research model is presented. Third, data were collected through questionnaire survey. Fourth, the significance of the research hypotheses through the statistical analysis and the validity of the research model was analyzed based on the collected data. According to the results, the government policies for companies and entrepreneurship has impacted funding in financial areas and business environments; this offers a positive influence on social system and environment, such as basic education in business and economy fields and good social environments for business. Lastly, these social systems are shown to have a positive impact on entrepreneurship. In addition, the results suggest an effective entrepreneurship policy.
Hong Joo Lee. What Factors Are Necessary for Sustaining Entrepreneurship? Sustainability 2019, 11, 3022 .
AMA StyleHong Joo Lee. What Factors Are Necessary for Sustaining Entrepreneurship? Sustainability. 2019; 11 (11):3022.
Chicago/Turabian StyleHong Joo Lee. 2019. "What Factors Are Necessary for Sustaining Entrepreneurship?" Sustainability 11, no. 11: 3022.
Many countries, including the US, Europe and Korea, are eager to conduct diverse researches and projects in relation to such smart technology in the hope of utilizing those opportunities, and domestic universities and research institutes also are active to implement relevant researches. Yet, smart technology has rarely been conceptualized, with only superficial studies about it conducted. In this paper, I studied value creating motive and literature review for development of business model to be applied to actual business, based on characteristics of smart technologies.
Hong Joo Lee. A Review of Value Creating Motive and Business Model in Smart Technology. Human Centric Technology and Service in Smart Space 2012, 159 -163.
AMA StyleHong Joo Lee. A Review of Value Creating Motive and Business Model in Smart Technology. Human Centric Technology and Service in Smart Space. 2012; ():159-163.
Chicago/Turabian StyleHong Joo Lee. 2012. "A Review of Value Creating Motive and Business Model in Smart Technology." Human Centric Technology and Service in Smart Space , no. : 159-163.