• 아태비즈니스연구
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• 제13권3호
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• pp.1-18
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• 2022

Purpose - The purpose of this study is to take fitness APP users as the research object from the perspective of user experience to explore the influence of fitness APP user experience factors on product trust and purchase intention. Design/methodology/approach - The study collected data on 275 customers who had experience buying and using fitness apps. To test the hypothesis, SPSS 27.0 and AMOS 26.0 statistical packages were used based on the collected data. Findings - The results showed that the user experience factors (usefulness, ease to use, enjoyment, interaction) of fitness APP and the relationship between product trust had a positive effect, and product trust had a positive effect on purchase intention. In addition, exercise experience, showed a moderating effect in the relationship between the usefulness, easy to use of user experience and product trust. Research implications or Originality - This study provided research model among user experience factors of fitness APP, product trust and purchase intention. This study can help sports and fitness companies with product optimization and marketing decisions.

• 품질경영학회지
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• 제50권4호
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• pp.843-861
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• 2022

Purpose: This study explores the impact of digital transformation (DT) strategies on gaining a competitive advantage in interactive educational services. Methods: We develop a service value proposition model by analyzing educational service elements to confirm the impact of DT in the classroom through case studies. This study focuses on educational services that DT has a positive impact on organizational competitiveness by providing opportunities for customers to engage in operational processes. This case study summarizes competitiveness using SWOT (strengths, weaknesses, opportunities, and threats) analysis. Results: The findings of the case study indicate that DT-enabled competitive factors contribute to an organization's competitive advantage. The study results present key resource as social cloud services, data combination, content sharing, and products/services. The online application that collects user data about education and shares class and evaluation information creates a new class operational process in the field of educational service for a value proposition of collection-merging-sharing with social cloud function. Conclusion: The results of this study can be used as a good guideline for educational service providers interested in applying DT for improved customer satisfaction and educational organizations' competitiveness. In addition, the study findings provide theoretical and practical implications on SWOT approaches to changing the educational service provision ways through digital transformation.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.205-217
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• 2022

The purpose of this study was to explore the relationship between agricultural insurance, agricultural loans, and the agricultural industry and find ways to consolidate and improve the interactive development between these three systems. We collected relevant data from 2009 to 2019 in 15 provinces of China and constructed a coupled coordination model to analyze the data. The results are as follows: First, the eastern part of China was ahead of the central and western parts in terms of agricultural loans and the agricultural industry, while the western part was ahead of the central and eastern parts in terms of agricultural insurance. Second, the coupling degree of the three systems in all 15 provinces reached an extremely high level. Third, all 15 provinces showed an overall continuous rise in coupling coordination degree. In 2019, eight provinces reached the medium-level coupling coordination development, and seven provinces were in a state of barely coupling coordination development. The three systems formed a mutually reinforcing relationship and basically entered a state of coordinated development. Finally, there was a great development gap between different regions of China concerning the coordinated development of the three systems, therefore, innovative development is urgently needed to further promote the coordinated development level.

• 유통과학연구
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• 제21권4호
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• pp.81-89
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• 2023

Purpose: This study aims to analyze the effects of job satisfaction regarding the franchisee's continuous operation intention. In addition, it intends to investigate the mediating effect of work engagement in the relationship between job satisfaction and sustainable performance of the franchisee. Research design, data and methodology: 361 survey data were collected and analyzed using SPSS 24 and AMOS 24. To assess the model for goodness of fit, indexes such as TLI, CFI, RMSEA were used. Moreover, SEM method and bootstrapping were used for hypotheses testing. Results: The results of this study are as follows. First, the relationship between job satisfaction and the employee's continuous operation intention was significant. Second, it confirms that indeed job satisfaction positively affects work engagement. Third, it was found that work engagement had positive (+) effects on the franchisees' financial performance along with its continuous operation intention. Fourth, work engagement was found to mediate the relationship between job satisfaction and continuous operation intention of the franchisee. Conclusion: We found that job satisfaction of the franchisee is related with continuous operation intention through work engagement and financial performance. Hence, by demonstrating the empirical evidence which has been insufficient so far, this study contributes to the theory accumulation regarding the franchisee's continuous operation intention.

• 유통과학연구
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• 제22권2호
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• pp.103-113
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• 2024

Purpose: With the popularity of artificial intelligence (AI) in the service industry and occurrence ofservice failures in AI-based services, understanding human-robot interaction issues in service failure situations is especially important. Some issues which deserve further empirical investigation are whether consumers can develop the same tolerance for chatbots after service failure as they have for human agents, and the relationship between agent type and tolerance is mediated by the mechanisms of perceived warmth and perceived competence. Research Design, Data, and Methodology: This research experimentally collected and analyzed data from 119 university students who had experienced chatbots service failures. Differences in tolerance towards human agents and chatbots after experiencing service failures were explored, with a further examination of the mediating pathways between this relationship via perceived warmth and perceived competence. Results: Consumers are more tolerant ofservice failure with chatbots compared to service failure with human agents. Significant mediation of the relationship between service agent and service failure tolerance by perceived competence, while perceived warmth has no significant mediating effect. Conclusions: This research enhances our understanding of AI-assisted services, human-computer interaction, improves the service functionality of existing smart devices, and deepens the understanding of the relationship between consumer responses and behaviors.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• 대한원격탐사학회지
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• 제29권6호
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• pp.631-644
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• 2013

Significant Wave Height (SWH) data measured by satellite altimeters (Topex/Poseidon, Jason-1, Envisat, and Jason-2) were validated in the seas around Korea by comparison with wave height measurements from marine meteorological buoy stations of Korea Meteorological Administration (KMA). A total of 1,070 collocation matchups between Ku-band satellite altimeter data and buoy data were obtained for the periods of the four satellites from 1992 to the present. In the case of C-band and S-band observations, 1,086 matchups were obtained and used to assess the accuracy of satellite SWH. Root-Mean-Square (RMS) errors of satellite SWH measured with Ku-band were evaluated to roughly 0.2_2.1 m. Comparisons of the RMS errors and bias errors between different frequency bands revealed that SWH observed with Ku-band was much more accurate than other frequencies, such as C-band or S-band. The differences between satellite SWH and buoy wave height, satellite minus buoy, revealed some dependence on the magnitude of the wave height. Satellite SWH tended to be overestimated at a range of low wave height of less than 1 m, and underestimated for high wave height of greater than 2 m. Such regional characteristics imply that satellite SWH should be carefully used when employed for diverse purposes such as validating wave model results or data assimilation procedures. Thus, this study confirmed that satellite SWH products should be continuously validated for regional applications.

• 디지털융복합연구
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• 제13권2호
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• pp.35-42
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• 2015

빅데이터의 가치가 중요하게 인식되면서 정부를 비롯한 공공기관, 민간기업 등이 빅데이터에 관심을 가지기 시작하였다. 과거와는 다르게 다양한 데이터의 원천이 있고, 이러한 데이터의 융합을 기반으로 한 다양한 기획 및 분석기법이 등장하게 되면서, 빅데이터는 새로운 고급 정보의 창출 및 의사결정 고도화 기반으로 자리매김할 것이 확실하다. 본 연구는 다양한 대책에도 불구하고 개선되지 않는 지하철 혼잡도 문제에 대한 대안을 모색하는 것이다. 이에 본 연구는 서울시의 공공데이터를 활용하여 서울시 지하철의 혼잡도를 개선할 수 있는 방안에 대해 탐색적 접근을 시도하였다. 연구는 서울시 공공데이터 분석을 오픈 소스 R을 통해 이루어졌다. 분석 결과 혼잡도가 높은 지하철 역을 중심으로 운행하는 버스 노선을 신설하는 정책 대안을 도출하게 되었다.

• 한국항공운항학회지
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• 제31권3호
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• pp.59-70
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• 2023

In order to predict low-level wind shear at Incheon International Airport (RKSI), a Low-Level Wind Shear prediction system (KMAP-LLWS) along the runway take-off and landing route at RKSI was established using Korea Meteorological Administration Post-Processing (KMAP). For the performance evaluation, the case of low-level wind shear cases calculated from Aircraft Meteorological Data Relay (AMDAR) from July 2021 to June 2022 was used. As a result of verification using the performance evaluation index, POD, FAR, CSI, and TSS were 0.5, 0.85, 0.13, and 0.34, respectively, and the prediction performance was improved by POD, CSI, and TSS compared to the Low-Level Wind Shear prediction system (LDPS-LLWS) calculated using the Korea Meteorological Administration's Local Data Assimilation and Prediction System (LDAPS). This means that the use of high-resolution numerical models improves the predictability of wind changes. In addition, to improve the high FAR of KMAP-LLWS, the threshold for low-level wind shear strength was adjusted. As a result, the most effective low-level wind shear threshold at 8.5 knot/100 ft was derived. This study suggests that it is possible to predict and respond to low-level wind shear at RKSI. In addition, it will be possible to predict low-level wind shear at other airports without wind shear observation equipment by applying the KMAP-LLWS.

• 아태비즈니스연구
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• 제14권4호
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• pp.289-303
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• 2023

Purpose - The purpose of this study is to investigate the types and forms of various marketing activities actually used in pharmaceutical companies and to empirically analyze the impact of these marketing activities on sales. Design/methodology/approach - This study categorize five years' worth of marketing activity data from a foreign pharmaceutical company 'A' which operates in South Korea into five categories. Multiple regression analysis and interaction effects are employed for data analysis. Findings - First, CRM calls, Detail calls, GP, and Web events have a positive impact on sales, but SoV does not show significant differences. Second, in the comparison between HQ1 and HQ2 based on patent ownership, Detail calls and Web events had a stronger impact on sales in HQ2, where the patent period is still in effect, compared to HQ1. However, SoV showed no difference between HQ1 and HQ2. Research implications or Originality - First, Detail Calls are more effective for drugs with active patents, while CRM Calls work better for drugs with expired patents. This emphasizes the need to customize call strategies based on patent status. Second, the significant impact of Web Events on sales in HQ2 compared to HQ1 suggests that online information access is crucial, indicating that customer receptivity varies based on product nature. Third, these insights, derived from data analysis, call for a shift in pharmaceutical marketing analysis methods away from traditional approaches. Finally, this study holds significance as one of the first empirical analyses using actual marketing data from pharmaceutical companies in South Korea.