• Journal of Digital Convergence
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• v.15 no.5
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• pp.381-390
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• 2017

Lifestyle is an important variable to understand consumer behavior because it is a lifestyle that is common to all members of society or some members of society. so In this study, the survey has been performed on adult mobile game users over the age of 20 in Korea and China to evaluate the correlation between lifestyle and will of continuous use of game by mobile game users, and the hierarchical multiple regression analysis has been performed on the collected data by using the statistical package program SPSS 20.0. There were total 212 respondents with the gender ratio of 50:50, and 107 respondents were Korean, and 105 respondents were Chinese. As a result of study, first, regardless of lifestyle, more male and more Chinese respondents showed higher will of continuous use. Second, among mobile game user lifestyles, the challenge-oriented, trend-oriented, conservative, and ostentatious lifestyles could become significant causal variables for the will of continuous use of game. Yet, the influence of such lifestyle was not correlated with individual genders or nationalities. The result of this study will be provided as the basic data to establish the strategic solution for companies and government policies for entrance into the mobile game market of China in the future.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.64-76
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• 2020

The purpose of this study is to empirically analyze the mediating effect of job stress and Job engagement in job satisfaction between WFC(Work-Family Conflict) and quality of LMX(eader-member exchange) relationship of married female workers based on JD-R(Job Demands-Resources) model. A total of 945 people were targeted using the 7th panel data from the Korean Longitudinal Survey of Women and a structural equation model was used to verify the causal relationship and mediating effect of each variable using spss 23.0 and AMOS 21.0. As a result of the study, it was confirmed that WFC did not directly affect job satisfaction, and it was found that job satisfaction was negatively affected through job stress related to WFC. It was found that the quality of the LMX relationship had a positive effect on job satisfaction and reduced job stress, thus positively affecting job satisfaction. Job engagement was found to mediate the relationship between LMX and job satisfaction. This study is meaningful in that the search for multidimensional psychological and contextual factors that lead to job performance and job demands of married female workers are conducted.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.76-91
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• 2020

Whole genome sequence of Abeliophyllum distichum Nakai (Oleaceae) cultivar Ok Hwang 1 Ho, which is Korean endemic species, was recently sequenced to understand its characteristics. Acteoside is one of major useful compounds presenting various activities, and its several proposed biochemical pathways were reviewed and integrated to make precise biochemical pathway. Utilizing MetaPre-AI^TM which was developed for predicting secondary metabolites based on whole genome with the precise biochemical pathway of acteoside and the InfoBoss Pathway Database, we successfully rescued all enzymes involved in this pathway from the genome sequences, presenting that A. distichum cultivar Ok Hwang 1 Ho may produce acteoside. High-performance liquid chromatography result displayed that callus of A. distichum cultivar Ok Hwang 1 Ho contained acteoside as well as isoacteoside which may be derived from acteoside. Taken together, we successfully showed that MetaPre-AI^TM can predict secondary metabolite from plant whole genomes. In addition, this method will be efficient to predict secondary metabolites of many plant species because DNA can be analyzed more stability than chemical compounds.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.5
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• pp.574-583
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• 2021

Predicting shipping markets is an important issue. Such predictions form the basis for decisions on investment methods, fleet formation methods, freight rates, etc., which greatly affect the profits and survival of a company. To this end, in this study, we propose a shipping freight rate prediction model for container ships using gated recurrent units (GRUs) and long short-term memory structure. The target of our freight rate prediction is the China Container Freight Index (CCFI), and CCFI data from March 2003 to May 2020 were used for training. The CCFI after June 2020 was first predicted according to each model and then compared and analyzed with the actual CCFI. For the experimental model, a total of six models were designed according to the hyperparameter settings. Additionally, the ARIMA model was included in the experiment for performance comparison with the traditional analysis method. The optimal model was selected based on two evaluation methods. The first evaluation method selects the model with the smallest average value of the root mean square error (RMSE) obtained by repeating each model 10 times. The second method selects the model with the lowest RMSE in all experiments. The experimental results revealed not only the improved accuracy of the deep learning model compared to the traditional time series prediction model, ARIMA, but also the contribution in enhancing the risk management ability of freight fluctuations through deep learning models. On the contrary, in the event of sudden changes in freight owing to the effects of external factors such as the Covid-19 pandemic, the accuracy of the forecasting model reduced. The GRU1 model recorded the lowest RMSE (69.55, 49.35) in both evaluation methods, and it was selected as the optimal model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.71-84
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• 2021

As part of the recent economic revitalization measures, the national level of encouragement for young people's entrepreneurship continues, and investment in young people's entrepreneurship and support from young people are increasing. Entrepreneurship intention is a direct factor leading to entrepreneurship, and many studies have studied the individual characteristics of entrepreneurs that influence entrepreneurial intention. In the same context, the purpose of this study was to investigate the entrepreneur's passion as a factor affecting entrepreneurial intention, divided into harmony passion and obsessive passion. In addition, the pass to need for achievement, emotion, and subjective norms, which are the individual characteristics of entrepreneurs that influence passion, were verified. To this end, an online survey was conducted for prospective entrepreneurs in universities, and data of 203 persons were collected and structural equations were analyzed. As a result of the analysis, it was found that the need for achievement and positive emotions of preliminary entrepreneurs had a positive (+) effect on the passion for harmony, while the negative emotions and subjective norms were not significant for the passion for harmony. The need for achievement had a negative (-) effect on the obsessive passion, and the positive and negative emotions had a positive (+) effect on the obsessive passion, but the subjective norm was not significant on the obsessive passion. It was confirmed that harmony passion and obsessive passion showed positive (+) effect on entrepreneurial intention. It also confirmed whether harmonious passion and obsessive passion have a mediating effect between need for achievement, positive emotion, negative emotion, and entrepreneurial intention. As a result, it has a mediating effect between need for achievement, positive emotion and entrepreneurial intention, especially need for achievement has a complete mediating effect. Obsessive passion was also confirmed to have a mediating effect in the relationship between positive emotions and intention to start a business.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.172-177
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• 2021

As part of the digital era, a digital twin that simulates the weak part of a product by performing a stress test that reduces the lifespan of some expensive equipment that cannot be done in reality by accurately moving the real world to virtual reality is being actively used in the manufacturing industry. Due to the development of IoT, the digital twin, which accurately collects data collected from the real world and makes it the same in the virtual space, is mutually beneficial through accurate prediction of urban life problems such as traffic, disaster, housing, quarantine, energy, environment, and aging. Based on its action, it is positioned as a necessary tool for smart city construction. Although digital twin is widely applied to the manufacturing field, this study proposes a smart city model suitable for the 4th industrial revolution era by using it to smart cities and increasing citizens' safety, welfare, and convenience through the proposed model. In addition, when a digital twin is applied to a smart city, it is expected that more accurate prediction and analysis will be possible by real-time synchronization between the real and virtual by maintaining realism and immediacy through real-time interaction.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.1-7
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• 2019

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular, as ICT convergence digital healthcare technology is applied to hospital medical systems, infrastructure technologies such as big data, Internet of Things, and artificial intelligence are being used in conjunction with the cloud. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from hospital IoT system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established hospital IoT systems. The proposed model allows clinicians to analyze patients' disease information so that they can collect and treat diseases associated with their eating habits through IoT devices. The analyzed disease information minimizes hospital work to facilitate the handling of prescriptions and care according to the patient's degree of illness.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.171-181
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• 2019

In order to confirm whether innovation can be realized through the direction that companies pursue, this study empirically analyzed the relationship between strategic directionality and innovation capacity. Specifically, strategic directionality is divided into customer orientation and technology orientation, and innovation capacity is classified into strategic planning capacity, R&D capacity, and technology commercialization capacity based on previous studies. And the effect of customer and technology orientation on each innovation capacity was analyzed. Data collection was carried out by 368 questionnaires from the workers of manufacturing industry in Gyeongbuk area and the proposed hypotheses were tested by using structural equation. As a result, it was confirmed that technology orientation had significant effects on all three innovation capacities. However, the effect of customer orientation on strategic planning capacity and technical commercialization capacity was accepted, but the relationship with R&D capacity was rejected. These results can provide implications for how to draw innovation from the organizational strategic direction and culture perspectives by explaining the impact of organizational orientation on innovation capacity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.707-725
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• 2021

Energy management systems (EnMS) contribute to sustainable energy saving and greenhouse gas reduction by emphasizing the role of energy management in production-oriented economies. Although understanding the methods used to measure energy performance is a key factor in constructing successful EnMS, few attempts have been made to examine these methods, their applicability, and their utility in practice. To fill this research gap, this study aimed to deepen the understanding of energy performance measures by focusing on four energy performance indicators (EnPIs) proposed by ISO 50006, namely the measured energy value, ratio between measured values, linear regression model, and nonlinear regression model. This paper presents policy and managerial implications to facilitate the effective use of these measures. An analytic hierarchy process (AHP) analysis was conducted with 41 experts to analyze the preference for EnPIs and their key selection criteria by the industry sector, and organization and user type. The findings suggest that the most preferred EnPI is the ratio between the measured values followed by the measured energy value. The ease of use was considered to be most important while choosing EnPIs.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.365-374
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• 2021

Recently, the high growth rate and advantages of the crowdfunding market have also led to increased participation of brands and companies, and this also applies to fashion business. Risk has been noted to be a key factor in consumer behavior in crowdfunding. With the high-risk context of crowdfunding where supporters inevitably bear to pay full amount of price before receiving the actual products. Factors enhancing or inhibiting perceived risk of crowdfunding need to be explored. The past literature on perceived risk and consumer attitudes in crowdfunding has expanded, but it has rarely covered the context of experience goods such as fashion products. In addition, the platform characteristics in relation to perceived risk should be addressed. The current study attempts to address the effect of the perceived amount of information offered in a fashion crowdfunding project on perceived risk and the intention to participate in the project. For the experiment of this study, a fictitious crowdfunding page for fashion products was set as the stimuli. A total of 240 Korean participants were recruited and their responses were statistically analyzed using SPSS 24.0 software. In the results, the greater the amount of detailed information about the fashion crowdfunding project, the higher the intention to participate the project. The greater the amount of information provided, the lower the perceived risk of consumers. Moreover, the lowered perceived risk affected the intention of participate. Perceived risk has a partial mediation in the relationship between the amount of information and intention to participate. Theoretical and managerial implications are discussed.