• Title/Summary/Keyword: User Effect

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The Effect of Layout Framing on SNS Shopping Information: A-D Perspective (SNS 쇼핑정보의 레이아웃 프레이밍 연구: A-D 관점에서)

  • Yanjinlkham Khurelchuluun;Zainab Shabir;Dong-Seok Lee;Gwi-Gon Kim
    • Journal of Industrial Convergence
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    • v.21 no.11
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    • pp.1-12
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    • 2023
  • With the recent explosive popularity of SNS, it is increasingly important to utilize SNS marketing, and in this process, the importance of image and caption order in SNS layout is also growing. This research aims to analyze the impact of SNS layouts (Image First vs. Caption First) on the user's attitude toward SNS shopping. A survey was conducted targeting 350 general public and college(graduate) students living in Daegu City and Gyeongbuk Province. The data was analyzed using PROCESS, regression analysis, and t-test by SPSS 21.0 program. The result of this study, it was confirmed that the Image First was more accessible than the Caption First. The Caption First was confirmed to be more diagnostic than the Image First. Moreover, from three specific mediation paths, only two were confirmed, named is through diagnosticity and usefulness, and through accessibility, diagnosticity, and usefullness. The path through diagnosticity and usefulness were stronger than another. Additionally, the impact of accessibility on diagnosticity was found to be higher when involvement was high rather than when involvement was low.

A Study on the Relationship between Smart Work Adoption Factors, User Innovation Resistance, and Turnover Intention: Focused on the Moderating Effect of Organizational Control (스마트워크 도입 요인과 사용자 혁신저항 및 이직의도 간의 관계에 대한 연구: 조직통제 조절효과를 중심으로)

  • Young Kwak;Minsoo Shin
    • Information Systems Review
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    • v.23 no.4
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    • pp.23-43
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    • 2021
  • Due to the recent transition to a non-face-to-face society, many organizations are quickly adapting to foster a smart work environment. The introduction of smart work does not simply end with incorporating ICT systems or solutions into business models since fundamental factors such as forms of employment and work styles need to be in line with the progression of technological advances. However, previous studies regarding smart work focus on improvements in productivity and efficiency from a technology acceptance perspective. Therefore, there is a lack of discussion on innovation resistance from employees and management control when ICT systems are introduced into the workplace. This study empirically analyzes the moderating effects of the organizational control method for employees and innovation resistance within a smart work environment. Additionally, this study aims to identify the structural characteristics that employees resist from an innovation resistance perspective when organizational innovation occurs. The empirical analysis of this study suggests that when smart work such as ICT technology is introduced into the workplace the level of innovation resistance decreases when there is a high level of relative advantage and self-efficacy, whereas the level of innovation resistance increases when there is a high level of use complexity. Moreover, this study revealed that the level of innovation resistance increases when the employees' behaviors were controlled. The results of this study intend to contribute to improving business management by suggesting factors worth considering when incorporating smart work into work places through a thorough case analysis.

Three Qualities of OTT Services: A Mixed Methods Approach (OTT 서비스의 세 가지 질적 요소: 혼합적 연구방법을 통한 접근)

  • Jae Sun Yoo;Jaecheol Park;Hyun Jun Jeon;Jai-Yeol Son
    • Information Systems Review
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    • v.24 no.1
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    • pp.59-87
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    • 2022
  • Since over-the-top (OTT) service has emerged as a new way of consuming video contents, OTT markets grow exponentially and the competition among the OTT services becomes intense. Only limited systematic research effort has been paid to understand why users subscribe such OTT services among other services. Therefore, we used developmental sequential mixed methods approach to find out the quality factors and their effect on post-subscription experiences and continuance intention. In the qualitative study, we derived six factors which a user considers important to continue the subscription. Based on the explored factors, we hypothesized a research model with modified three qualities from ISSM. The proposed research model was validated through quantitative research, a survey of 226 OTT service users in South Korea, using structural equation modeling. The results indicated that content quality is the key factor affecting both perceived enjoyment and satisfaction whereas system quality affects satisfaction, and service quality only affects enjoyment. Enjoyment affects satisfaction which sequentially affects continuance usage intention. This study contributes to research by modifying ISSM through mixed methods. It also provides OTT service providers with insight to enhance users' post experience and continuance intention to use the service through qualities derived from the interview.

A Study on the User-Based Small Fishing Boat Collision Alarm Classification Model Using Semi-supervised Learning (준지도 학습을 활용한 사용자 기반 소형 어선 충돌 경보 분류모델에대한 연구)

  • Ho-June Seok;Seung Sim;Jeong-Hun Woo;Jun-Rae Cho;Jaeyong Jung;DeukJae Cho;Jong-Hwa Baek
    • Journal of Navigation and Port Research
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    • v.47 no.6
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    • pp.358-366
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    • 2023
  • This study aimed to provide a solution for improving ship collision alert of the 'accident vulnerable ship monitoring service' among the 'intelligent marine traffic information system' services of the Ministry of Oceans and Fisheries. The current ship collision alert uses a supervised learning (SL) model with survey labels based on large ship-oriented data and its operators. Consequently, the small ship data and the operator's opinion are not reflected in the current collision-supervised learning model, and the effect is insufficient because the alarm is provided from a longer distance than the small ship operator feels. In addition, the supervised learning (SL) method requires a large number of labeled data, and the labeling process requires a lot of resources and time. To overcome these limitations, in this paper, the classification model of collision alerts for small ships using unlabeled data with the semi-supervised learning (SSL) algorithms (Label Propagation and TabNet) was studied. Results of real-time experiments on small ship operators using the classification model of collision alerts showed that the satisfaction of operators increased.

A Study on the Golf Course Selection Attributes, Revisit and Recommendation Intention of Chinese Golfer by IPA (IPA기법을 이용한 중국인 골프장 이용객의 골프장 선택속성과 재방문 및 추천의도에 관한 연구)

  • Sang Lim;Sang-Woo Cho
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.4
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    • pp.710-723
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    • 2023
  • The purpose of this study is to investigate the effect on the revisit intention and recommendation intention on the golf course selection attribute factors of Chinese golf course users using IPA. In order to carry out this study, a survey was conducted on 388 Chinese golfers, data processing and IPA analysis were conducted, and the following conclusions were obtained. First, the importance of the selection attribute was the highest in employee etiquette, and the price of restaurants and food and beverage was the highest in satisfaction. Second, as a result of the IPA matrix analysis, there were 8 selection attributes for continuous maintenance, 14 for concentration improvement, 5 for low priority, and 3 for excessive effort avoidance. Third, cost, accessibility, course facilities, auxiliary facilities, caddy expertise, and satisfaction with user management were found to affect both revisit and recommendation intentions. Since this study was limited to Chinese golfers, there may be differences in comparing the results with previous studies conducted in other countries on golf culture. Therefore, studies considering cultural diversity should be conducted in the future.

An Integrated Model of the Intention to Use the Intelligent Personal Assistant (IPA) (지능형 개인비서(IPA)의 사용의도에 관한 통합모형)

  • Chan-Woo Kim;Chang-Kyo Suh
    • Information Systems Review
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    • v.19 no.4
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    • pp.135-156
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    • 2017
  • An intelligent personal assistant (IPA) is a software agent that assists people to perform basic tasks or services for an individual by commonly providing information via natural language. In spite of the versatile capabilities of the IPA to answer a user's simple information-based queries, such as the weather and driving directions, the actual usage rates for IPA services are limited to date. In this research, to evaluate the factors affecting the intention to use IPA, we develop an empirical model based on technology acceptance model, innovation diffusion theory, and IS success model. Afterward, we collect 203 questionnaires from actual users of IPAs. Finally, the structural equation model validates the causal relationship between the constructs of the model. Consequently, the innovation characteristics of IPA drawn from innovation diffusion theory, namely, relative advantage, compatibility, observability, all exerted a positive influence on perceived usefulness. Furthermore, information quality, a quality characteristic of IPA obtained from DeLone and McLean's IS success model, presented a positive effect on perceived usefulness and perceived ease of use. Finally, the perceived intelligence of IPA displayed a positive influence on perceived usefulness and ease of use. This characteristic was also a major factor that can increase the intention to use the IPA. Given these research findings, this study is significant for identifying factors that may influence the intention to use the IPA by providing strategic guidelines to relevant business operators and establishing an integrated model.

Economic Perspectives on Online Platforms: Scenario-based Case Studies (플랫폼 서비스 가치와 수수료에 대한 경제적 고찰)

  • Kyeonghan Bae;YeonSu Park;JungWon Park;Jiyoung Alex Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.6
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    • pp.117-132
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    • 2023
  • With the recent spread of COVID-19, the size of the online shopping market continues to increase, and various online platforms are appearing in the market, and many small and medium businesses are entering the platform. As the recent increase in the use of the platform by small andmedium businesses as raised the issue of appropriate platform fees, the need for social discussions on the use of the platform and fees is raised. Currently, most discussions regarding fees primarily focus on specific cases from a negative perspective, and discussions that comprehensively consider the platform's utilization value and fees are insufficient. Therefore, this study aims to systematically and comprehensively understand platform fees by considering the value of using platform services and commission costs together. To achieve this, the economic value of each platform service was estimated and analyzed in detail. It selected two industries that are actively using online platforms, delivery services and e-commerce, and paid attention to changes in expected profits generated by sellers using platform services, and compared and analyzed expected profits based on estimated sales and costs for each scenario, such as whether sellers entered the platform and whether they used the service. As a result of the study, our results that entering the platform and using the platform service enable sales increase and cost reduction, which have a positive effect on the seller's expected profit. Through this study, we intend to understand platform fees from the perspective of user fees for platform service use and value acquisition, and based on this, estimate the economic value of platform services and fees to expand the value and cost of using platform services to a comprehensive and systematic discussion.

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Sentiment Analyses of the Impacts of Online Experience Subjectivity on Customer Satisfaction (감성분석을 이용한 온라인 체험 내 비정형데이터의 주관도가 고객만족에 미치는 영향 분석)

  • Yeeun Seo;Sang-Yong Tom Lee
    • Information Systems Review
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    • v.25 no.1
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    • pp.233-255
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    • 2023
  • The development of information technology(IT) has brought so-called "online experience" to satisfy our daily needs. The market for online experiences grew more during the COVID-19 pandemic. Therefore, this study attempted to analyze how the features of online experience services affect customer satisfaction by crawling structured and unstructured data from the online experience web site newly launched by Airbnb after COVID-19. As a result of the analysis, it was found that the structured data generated by service users on a C2C online sharing platform had a positive effect on the satisfaction of other users. In addition, unstructured text data such as experience introductions and host introductions generated by service providers turned out to have different subjectivity scores depending on the purpose of its text. It was confirmed that the subjective host introduction and the objective experience introduction affect customer satisfaction positively. The results of this study are to provide various implications to stakeholders of the online sharing economy platform and researchers interested in online experience knowledge management.

A Study on Microbial Contamination according to Effective Management Strategies of Indoor Climbing Gym Holds (실내 클라이밍 짐 홀드의 관리방법에 따른 미생물 오염에 관한 연구)

  • Ji-In Kim;Hyejin Shin;Yujeong Jeong;Haesong Sher;Gitaek Oh;Yonghoo Park;Sungkyoon Kim
    • Journal of Environmental Health Sciences
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    • v.50 no.2
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    • pp.102-112
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    • 2024
  • Background: Despite the rise in the number of domestic indoor climbing gyms, there is a lack of specific hygiene standards and research on the holds installed in them. Holds can act as vectors for microbial transmission through the hands, posing a risk of infectious diseases, especially with damaged skin. Objectives: The aim of this study is to investigate the contamination level and species of microorganisms on holds according to the management methods practiced in indoor climbing gyms and identify effective strategies for reducing microbial contamination. Methods: We investigated factors that may influence microbial contamination of holds, including hold management methods, user information, and hygiene management at three climbing gyms in Seoul. A total of 72 holds were sampled, 18 for each management method of brushing, high-pressure washing, and ethanol disinfection. Samples were cultured on LB and blood agar at 37℃ for 48 hours to calculate CFUs. PCR assay targeting 16S rRNA was carried out to identify microorganisms. Dunn-Bonferroni was employed to see the microbial reduction effect of the management method and the difference in microbial contamination by management method and climbing gym. Results: As a result of microbial identification, microorganisms such as Bacillus, Staphylococcus, and Micrococcus, which were derived from various environments such as skin and soil, were discovered on the surface of the climbing hold. Among the discovered microorganisms, some species had potential pathogenic properties that could cause food poisoning, gastrointestinal disease, bacteremia, and sepsis. All hold management methods were effective in reducing microorganisms (p<0.05), with ethanol disinfection being the most effective (p<0.001). Conclusions: Our results indicate that there are potential pathogens on holds that demand thorough management for microbial prevention. Proposed methods include regular brushing and ethanol disinfection in addition to high-pressure washing with long cycles, which are the existing forms of hold management. Further studies on shoe management are advised to curb soil-derived microorganisms.

Implementation of High Efficiency Generators Applicable to Climbing Sticks (등산스틱에 적용 가능한 고효율 발전기 구현)

  • Gul-Won Bang
    • Journal of Industrial Convergence
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    • v.22 no.7
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    • pp.15-21
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    • 2024
  • A hiking stick is generally one of the walking aids that allow hikers to walk while relying on their own bodies when walking. A rechargeable battery must be built into the hiking stick, which is an auxiliary device, in order to perform various functions. A separate power supply is required to charge the rechargeable battery. This study is about a self-generated power supply and develops a power generation device using a screw with higher power generation efficiency than the existing method. It is differentiated from the method suggested in this study by comparing and analyzing it with the existing power generation method, and identifying problems therewith. The screw-type power generation device generates power when the climbing stick comes into contact with the ground and when it is separated from the ground. The built-in power generation device does not require a separate power supply, and it can be used by attaching the role of a mobile phone auxiliary battery and a lighting lamp, and it has the effect of being able to find it through location tracking by embedding a GPS sensor, etc., and using lighting to keep the user safe in emergency situations such as distress. The existing generator with built-in mountain climbing stick is difficult to charge due to very weak current and low practicality, but the generator developed in this research could achieve high efficiency to obtain a sufficient current, so it is possible to charge a battery and practicality.