• Women's Health Nursing
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• v.28 no.4
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• pp.329-337
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• 2022

Purpose: The purpose of this study was to investigate the influence of eHealth literacy, reproductive health knowledge, and self-esteem on early adult women's health-promoting behaviors (HPB). This study was based on Pender's health promotion model as a theoretical underpinning. Methods: Early adult women aged 18 to 35 years (n=165) were recruited by posting advertisements on social network sites for a student club and a faith-based community in Ansan, Korea. Willing individuals were invited to participate in the online survey from June 1 to June 30, 2022. Standardized instruments were used to measure HPB, eHealth literacy, reproductive health knowledge, and self-esteem. General characteristics included income level, perceived subjective health, and internet usage time. The collected data were analyzed using the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and multiple regression. Results: The mean age of the respondents was 21.97±3.87 years. The total HPB score was 120.69, corresponding to a moderate level; and the total scores for eHealth literacy (30.24), knowledge of reproductive health (23.04), and self-esteem (35.62) were higher than the midpoint. The model explained 53.3% of variance in HPB, and self-esteem (β=.48, p<.001) was the most influential factor. Other influential factors were, in descending order, higher economic level, higher subjective health status, greater eHealth literacy, and less internet use time (<2 hours/day). Conclusion: In order to promote the health of early adult women, counseling or programs that positively improve self-esteem appear promising, and eHealth literacy should be considered as a way to promote HPB using information technology.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.239-245
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• 2021

In order to analyze the educational effect of learning mentoring conducted for 4 weeks by the Korea Educational Broadcasting System(EBS) for elementary school students, the changes in self-directed learning skills and emotional stability were analyzed through pre-test and post-test for 27 students who participated in the EBS learning mentoring. As a result, it was found that students' self-directed learning ability and emotional stability were both improved. In addition, the students showed high satisfaction with the mentor who guided their learning and taught them. Therefore, in order to reduce the learning gap of underprivileged students in the distance learning situation, the EBS learning mentoring project should be continuously promoted, and the mentoring period and the number of students and teachers participating in mentoring should be significantly increased.

• The Korean Journal of Franchise Management
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• v.9 no.2
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• pp.17-29
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• 2018

Purpose - The environment surrounding the franchise industry in recent years is a big threat to the franchise business. In this perspective, this study examines the effect of franchise CEO's Innovation, CSR Passion, and customer orientation(CO) on customers' perceived service quality(PSQ), affection, and commitments in the context of food-service franchise industry. This study suggests the guidelines on how franchisor uses their passion and customer orientation on customer to maintain and increase the commitments. Research design, data, and methodology - In order to achieve these purposes, research model and hypotheses were developed. Out of 500 respondents received through online survey, 449 respondents were used, because of 51 incomplete respondents. The data were analyzed using frequency analysis, confirmatory factor analysis, correlation analysis, and structural equational modeling with SPSS 23.0 and AMOS 23.0 statistical program. Result - The results of the study are as follows. First, innovation passion has a significant impact on PSQ and customer affection. And CSR passion have a significant impact on PSQ. Second, customer orientation has a significant impact on PSQ and customer affection. Third, PSQ has a significant impact on customer affection and sustainable commitment. Fourth, customer affection has a significant impact on behavioral commitment. Fifth, behavioral commitment has a significant impacts on sustainable commitment. Conclusions - The implications of this study are following as: Restaurants franchisor and CEOs should have a passion for innovation to continuously identify consumer needs and develop new menus and services that meet their needs. Second, franchisor and CEOs need to demonstrate the importance of creating the right environment, creating a fair business, and trying to create products in a given environment. Finally, franchisor and CEOs should demonstrate how to build relationships with customers and how to maintain positive feelings. In addition, it is necessary to appeal to the customers with enthusiasm and a customer-oriented tendency of the entrepreneur of the franchise head office in order to maintain the relationship with the customer and feelings.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.93-111
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• 2013

As Internet and information technology (IT) continues to develop and evolve, the issue of big data has emerged at the foreground of scholarly and industrial attention. Big data is generally defined as data that exceed the range that can be collected, stored, managed and analyzed by existing conventional information systems and it also refers to the new technologies designed to effectively extract values from such data. With the widespread dissemination of IT systems, continual efforts have been made in various fields of industry such as R&D, manufacturing, and finance to collect and analyze immense quantities of data in order to extract meaningful information and to use this information to solve various problems. Since IT has converged with various industries in many aspects, digital data are now being generated at a remarkably accelerating rate while developments in state-of-the-art technology have led to continual enhancements in system performance. The types of big data that are currently receiving the most attention include information available within companies, such as information on consumer characteristics, information on purchase records, logistics information and log information indicating the usage of products and services by consumers, as well as information accumulated outside companies, such as information on the web search traffic of online users, social network information, and patent information. Among these various types of big data, web searches performed by online users constitute one of the most effective and important sources of information for marketing purposes because consumers search for information on the internet in order to make efficient and rational choices. Recently, Google has provided public access to its information on the web search traffic of online users through a service named Google Trends. Research that uses this web search traffic information to analyze the information search behavior of online users is now receiving much attention in academia and in fields of industry. Studies using web search traffic information can be broadly classified into two fields. The first field consists of empirical demonstrations that show how web search information can be used to forecast social phenomena, the purchasing power of consumers, the outcomes of political elections, etc. The other field focuses on using web search traffic information to observe consumer behavior, identifying the attributes of a product that consumers regard as important or tracking changes on consumers' expectations, for example, but relatively less research has been completed in this field. In particular, to the extent of our knowledge, hardly any studies related to brands have yet attempted to use web search traffic information to analyze the factors that influence consumers' purchasing activities. This study aims to demonstrate that consumers' web search traffic information can be used to derive the relations among brands and the relations between an individual brand and product attributes. When consumers input their search words on the web, they may use a single keyword for the search, but they also often input multiple keywords to seek related information (this is referred to as simultaneous searching). A consumer performs a simultaneous search either to simultaneously compare two product brands to obtain information on their similarities and differences, or to acquire more in-depth information about a specific attribute in a specific brand. Web search traffic information shows that the quantity of simultaneous searches using certain keywords increases when the relation is closer in the consumer's mind and it will be possible to derive the relations between each of the keywords by collecting this relational data and subjecting it to network analysis. Accordingly, this study proposes a method of analyzing how brands are positioned by consumers and what relationships exist between product attributes and an individual brand, using simultaneous search traffic information. It also presents case studies demonstrating the actual application of this method, with a focus on tablets, belonging to innovative product groups.

• Journal of Korea Water Resources Association
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• v.50 no.4
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• pp.241-252
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• 2017

This study aims to evaluate applicability of both online and offline parameter calibration techniques on rainfall-runoff modeling using a conceptual lumped hydrologic model. To achieve the goal, the storage function model was selected and then two different automatic calibration techniques: SCE-UA (offline method) and particle filter (online method) were applied to calibrate the optimal parameter sets for 9 rainfall events in the Cheoncheon catchment, upper area of the Yongdam multi-purpose dam. In order to assess reproducibility of hydrographs from the parameter sets of both techniques, the observed discharge of each event was divided into low flow (below average flow) and high flow (over average flow). The results show that the particle filter method, updating the parameters in real-time, provides more stable reproducibility than the SCE-UA method regardless of low and high flow. The optimal parameters estimated by SCE-UA are very sensitive to the selected objective functions used in this study: RMSE and HMLE. In particular, the parameter sets from RMSE and HMLE demonstrate superior goodness-of-fit values for high flow and low flow periods, respectively.

• Information Systems Review
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• v.8 no.1
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• pp.101-123
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• 2006

The main purpose of this study is to conceptualize and investigate the relationship between customer satisfaction and the linking variables of customer loyalty in internet shopping mall including general merchandise and specialized online mall. To achieve this objective, the study tries to validate the structural equation model and causal relationships among the model's elements involving customer satisfaction, customer trust, customer attitude, relationship involvement, and customer loyalty. The same research model was used in analysing general merchandise and specialized internet shopping mall to reveal and compare the casual path constructs. Empirical findings are as follows: First, all the hypothesis concerned with internet merchandise shopping mall were accepted but the direct effects between satisfaction $\Rightarrow$ loyalty and satisfaction $\Rightarrow$ attitude rejected in case of specialized internet shopping mall. Second, I found out that there were direct or indirect relationships between the mediating variables(satisfaction, attitude, involvement) and site trust and customer loyalty irrespective of internet shopping site patterns. In Particular, the direct effects of on customer loyalty showed the difference each other, but the indirect effects through satisfaction, attitude, or relationship involvement were all accepted. This means that the proper management concerned with indirect path is probably more important for the success of all kinds of internet shopping mall. The implications of this research may be summarized as follows. First, click and mortar companies should clearly understand and articulate the key requirements of shopping mall trust and satisfaction. Second, online companies are encouraged to establish linkage including trust, positive attitude, relationship involvement in order to foster customer loyalty. Third, companies are not only required to differentiate the internet marketing strategy adapting to the patterns of internet shopping mall but also to customize the interaction strategy in the formation process of customer loyalty.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.5
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• pp.91-101
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• 2014

In this study, we presented a timing verification method for a passenger car diesel engine management system (EMS) using measurement-based worst-case execution time (WCET) analysis. In order to cope with AUTOSAR-compliant software architecture, a development process model is proposed. In the process model, a runnable is regarded as a test unit and its temporal behavior (i.e. maximum observed execution time, MOET) is obtained along with on-target functionality evaluation results during online unit test. Furthermore, a cost-effective framework for online unit test is proposed. Because the runtime environment layer and the standard calibration environment are utilized to implement test interface, additional resource consumption of the target processor is minimized. Using the proposed development process model and unit test framework, the MOETs of 86 runnables for diesel EMS are obtained with 213 unit test cases. Using the obtained MOETs of runnables, the WCETs of tasks are estimated and the schedulability is evaluated. From the schedulability analysis results, the problems of the initially designed schedule table is recognized and it is fixed by redesigning of the runnable mapping and task offset. Through the various test scenarios, the proposed method is validated.

• Journal of The Korean Association For Science Education
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• v.30 no.8
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• pp.933-952
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• 2010

This study aims to characterize debate on a socio-scientific issue in the Internet and to provide implications from a postmodernist perspective. This study concentrates on disentanglement of the complex relationship among society, economy, politics and science in an issue and characterization of the given text centering on its originality, the relationship between writer and reader, and the purpose of utterance. Sixty-six most read articles on a web message board were chosen and analyzed as a typical case of a socio-scientific issue in the internet. In them, five scientific disputes were identified: the cause of mad cow disease (MCD), specified risk material and the incubation period, the cause of new variant Creutzfeld-Jakob disease (vCJD), vulnerability of vCJD and the relation of Alzheimer and vCJD in American patients. Each argument is intertwined with social, economic and political problems such as its impact on the domestic beef market, feeding environment of imported cattle and the retaliation against denial of importation. With regard to originality, it is found that the originality of an author is weakened but communal through repetitive quotation of 'Peom', cutting and pasting, and engagement of readers with their comments. Furthermore, in order to close the gap between writer and reader, identity and personal narrative of the writers are often introduced into their writing. In terms of purpose of utterance, these are intended to deliver one's feelings or facilitate human behavior rather than inform through verification of a principle.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.412-419
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• 2020

This study investigates the relationships among learning motivation, learning immersion, and academic achievement in college-level nursing students who give non-face-to-face online lectures. The data for this study were collected using questionnaires given to 147 students attending four-year nursing colleges at two universities. For the data analysis method, descriptive statistics, t-test, ANOVA, the Scheffe test, Pearson's correlation analysis, and multiple regression analysis were used. As a result of the study, the average motivation was 101.29±12.18 points, learning commitment was 72.02±8.03 points, and academic achievement was 31.31±4.06 points. The relationships among learning motivation, learning commitment, and adaptation to college life showed significant positive correlations. In the results of multiple regression analysis, factors influencing the academic achievements of nursing students were found to be learning motivation and learning commitment. Therefore, in order to increase academic achievement in nursing college students, it is necessary to develop a specific strategy to improve learning motivation and to develop various activities and programs to immerse students in learning.

• World Technopolis Review
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• v.4 no.1
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• pp.11-22
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• 2015

Globalization, increasing technological advancements and dynamic knowledge diffusion are moving our world closer together at a unique scale and pace. At the same time, our rapidly changing society is confronted with major challenges ranging from demographic to economic ones; challenges that necessitate highly innovative solutions, forcing us to reconsider the way that we actually innovate and create shared value. As such the linear, centralized innovation models of the past need to be replaced with new approaches; approaches that are based upon an open and collaborative, global network perspective where all innovation actors strategically network and collaborate, openly distribute their ideas and co-innovate/co-create in a global context utilizing our society's full innovation potential (Innovation 4.0 - Open Innovation 2.0). These emerging innovation paradigms create "an opportunity for a new entrepreneurial renaissance which can drive a Cambrian like explosion of sustainable wealth creation" (Curley 2013). Thus, in order to materialize this entrepreneurial renaissance, it is critical not only to value but also to actively employ this new innovation paradigms so as to derive community-driven shared value that stems from global innovation networks. This paper argues that there is a gap in existing business incubation model that needs to be filled, in that the innovation and entrepreneurship community cannot afford to ignore the emerging innovation paradigms and rely upon closed incubation models but has to adopt an "open incubation" (Ziouvelou 2013). The open incubation model is based on the principles of open innovation, crowdsourcing and co-creation of shared value and enables individual users and innovation stakeholders to strategically network, find collaborators and partners, co-create ideas and prototypes, share their ideas/prototypes and utilize the wisdom of the crowd to assess the value of these project ideas/prototypes, while at the same time find connections/partners, business and technical information, knowledge on start-up related topics, online tools, online content, open data and open educational material and most importantly access to capital and crowd-funding. By introducing a new incubation phase, namely the "interest phase", open incubation bridges the gap between entrepreneurial need and action and addresses the wantpreneurial needs during the innovation conception phase. In this context one such ecosystem that aligns fully with the open incubation model and theoretical approach, is the VOICE ecosystem. VOICE is an international, community-driven innovation and entrepreneurship ecosystem based on open innovation, crowdsourcing and co-creation principles that has no physical location as opposed to traditional business incubators. VOICE aims to tap into the collective intelligence of the crowd and turn their entrepreneurial interest or need into a collaborative project that will result into a prototype and to a successful "crowd-venture".