• Title/Summary/Keyword: app usage

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The Impact of Technostress on Telemedicine App Usage Intentions in the Post-COVID19 Era (포스트 코로나 시대의 원격진료 앱 사용 의도에 대한 연구: 테크노 스트레스의 영향을 중심으로)

  • Dong-eon Lee;Se-Youn Jung
    • Journal of the Korea Safety Management & Science
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    • v.26 no.1
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    • pp.1-8
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    • 2024
  • This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.

The Effect of Big Data-based Fashion Shopping Applications on App Users' Continuous Usage Intention

  • Hong, Hyekyung;Shin, Yeonseo;Lee, MiYoung
    • Journal of Fashion Business
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    • v.22 no.6
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    • pp.83-93
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    • 2018
  • The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

A Study on the Usage Factors of Mobile Banking Apps by Korean Banks in Vietnam: Focused on the Viewpoints of App User and App Provider

  • Suk-Gyoo Kim;Sang-Ha Lee;Chun-Su Lee
    • Journal of Korea Trade
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    • v.27 no.1
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    • pp.192-210
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    • 2023
  • Purpose - Vietnam has the fastest growing digital economy in Southeast Asia and is emerging as a critical overseas market for Korean banks in the post-COVID-19 era. Accordingly, many Korean banks entered the Vietnamese market to overcome the limitations of the saturated domestic financial market and create new revenue sources. This study examined the current status of digital finance in Vietnam and the cases of Korean banks that have succeeded in the Vietnamese market. Then, importance-performance analysis (IPA) was conducted on local customers, managers and staff members of Korean banks in Vietnam. Design/methodology - In this study, we analyzed the importance and satisfaction factors of mobile banking app usage in Vietnam through IPA. In particular, we identified the differences between the two groups by considering the viewpoint of customers who use mobile banking apps and that of managers and staff members who provide mobile banking services. Findings - The IPA results from the customer group and managers and staff members group were generally similar, but differences were observed in Ease of Use (Technology), Innovativeness (Organization), and Increase in Revenue (Economic). In the case of the customer group, Ease of Use (Technology) is located in the second quadrant, which shows low satisfaction compared to high importance. However, in the managers and staff members group, Ease of Use (Technology) is located in the first quadrant, which indicates high importance and high satisfaction. This difference in perception can cause complaints from local customers; thus, it is necessary to change the perception of the technological aspect for ease of use of mobile banking apps in consideration of the customer's position. In addition, it is necessary to allocate the resources invested in the Innovativeness (Organization) and Increase in Revenue (Economic) to Ease of Use (Technology). Originality/value - In this study, based on the HOTE framework, factors for using mobile banking apps were derived, and IPA was conducted targeting local customers (app user) and managers and staff members (app provider) of Korean banks in Vietnam. Through this, we presented the results of empirical analysis that can help Korean banks efficiently utilize limited resources and budgets.

In Search of Demanded Mediating Role of TAM between Online Review and Behavior Intention for Promoting Golf App Distribution

  • KIM, Ji-Hye
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.105-114
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    • 2022
  • Purpose: The technology acceptance model (TAM) refers to a theory that maps the possibility or extent to which users can accept an innovative technology. The purpose of the current research is to investigate the mediating effect of TAM between online review and behavior intention for promoting golf app's distribution. Research design, data and methodology: In order to examine the relationship between app usage reviews, TAM, and behavioral intentions of golf app participants, the present author collected total 170 responses from South Korean participants based on web-based survey system. The main methodology which was selected by this study is mediation causality analysis that Baron and Kenny suggested. Results: The statistical findings definitely indicated that TAM mediating role exists between the positive emotion of golf app users regarding online reviews and positive behavior intention of golf app, which means that all three steps of mediation causality analysis were statistically significant. Conclusions: The present research concludes that the correct utilization of innovation in the design and implementation of the technology features translates into performance excellence. The model can be used to increase the online presence through innovation as a primary drive toward providing more convenience and accessibility to the users through mobile golf apps.

Differences in Finding Smartphone Apps across User Types Categorized by App Icon Arrangement Style (스마트폰 사용자의 앱정리 유형에 따른 앱아이콘 탐색의 차이 연구 -아이폰 사용자 중심으로-)

  • Kang, Minjeong
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.143-155
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    • 2017
  • In the mobile-first era, plenty of mobile apps have been created so that the number of apps owned in a smartphone have been increasing as well. However, users spend most of time with only a few apps and the rest of apps are just kept in their smartphones for future usage. Thus, in order to help users find the apps quickly it is important to study how users arrange apps in a mobile phone screen and find an app. In the literature, we extracted 5 user types to organize mobile apps. We further conducted user survey with 30 subjects and finalized major 3 user types categorized by relatedness(A), aesthetic(B), and external concepts(C). We found that most of subjects took less than 2 minutes when finding frequently-used-apps. However we identified difference in times taken to find a barely-used-apps across three user types; while A type users turns out to be the most effective in finding barely-used-apps, the B type uses tend to be the least effective among three types. For the A type users, an app's name is more important than an icon image because they tend to guess the functionality from the name of the app. The B type users use the color of app icon to find the app in the smartphone. For the C type users who tend to remain the original position of an app when first downloading it in the smartphone, the visibility of an app icon is important to catch users' eyes while they scan a page. The results of this study is expected to be useful for UX designers who improve the usability of app icon usage considering the user types.

Mobile Arduino Embedded Platform Design (모바일 아두이노 임베디드 플랫폼 설계)

  • Lee, Ah Ri;Hong, Sun Hag
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.4
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    • pp.33-41
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    • 2013
  • In this paper, we implemented the pattern matching with the Arduino and App Inventor platform under the bluetooth mobile environment between Android phone and Arduino Platform. The combination between Arduino and App Inventor makes the feasibility of Android programming easy by wireless communications and provides the opportunity to broaden the functionality for mobile device. We used the softwares which were Arduino IDE, VC++, OpenCV, Processing and App Inventor. And also compared the performance of mobile Arduino platform with LabView GUI programming, we reduced the usage of libraries that compiled and executed the pattern matching programming. We experimented the mobile embedded platform performance under bluetooth communication and verified the functionality of the mobile Arduino platform design for identifying the pattern matching.

Analysis of usage decision factors based on the satisfaction of smart seniors using smartphone delivery applications (스마트 시니어의 스마트폰 배달 애플리케이션 만족도 기반 이용결정요인 분석)

  • Choi, Bu-Heon;Moon, Su-Ji
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.199-209
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    • 2021
  • The purpose of this study was to analyze the factors that affect the satisfaction of smart seniors using smartphone delivery applications. We established the hypothesis by dividing the factors that will affect the satisfaction of smart seniors using smartphone delivery applications into the characteristics of the delivery app and the personal characteristics of the smart senior. In order to verify the hypothesis, we surveyed adult men and women aged 50 to 65 years old who had experience using delivery apps, and we performed confirmatory factor analysis, correlation analysis, and path analysis to perform statistical processing for data analysis. The analysis results are as follows. First, we found that usefulness among the characteristics of delivery app had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Second, we found that social empathy among the personal characteristics of smart seniors had a statistically significant positive effect on the delivery app satisfaction of smart seniors. Third, we found that delivery app satisfaction had a statistically significant positive effect on reuse intention. Based on research result, we suggested that in order to improve the satisfaction and use of delivery app by smart seniors, it is necessary to develop delivery app that can be usefully used by smart seniors and focus on social empathy.

What Makes People Walk Using a Fitness App? (운동에 영향을 끼치는 피트니스 앱 요인 연구)

  • Kim, Jinsol;Shon, Saeah;Kim, Hee-Woong
    • The Journal of Information Systems
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    • v.29 no.4
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    • pp.1-24
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    • 2020
  • Purpose An increase in the number of fitness apps across the world is a testament to the growing interest in health. As focus on medical services shifted from treatment to prevention, this type of app plays an essential role in promoting one's health and exercise management. Yet little has been known about practical effects of fitness apps in existing literature thus this study searches for factors that affect daily use of fitness apps and examine the relationship between app usage and exercise patterns. Design/methodology/approach This study surveyed people who used Cashwalk, the pedometer app for a minimum of a week to analyze reasons why they used the app. Particpants' exercise patterns were also recorded. By examining survey results of fitness app users and developing a research model based on the Customer Value Theory, this study provides real-life factors to the fitness and smart health care industry that will adopt a proactive lifestyle pattern. Findings Empirical analysis proved properties such as the complexity of fitness apps, monetary rewards, exercise monitoring and the enjoyment of using fitness apps contribute to using fitness apps on a daily basis. Furthermore, more daily use of fitness apps was shown to have a greater impact on exercise. This study also confirmed that social comparison does not affect the daily use of fitness apps and the amount of exercise, and the habitual walking was proved to directly affect the amount of exercise.

Drupal-based Map Application Generator(MapAppGen): an Application Generation Example for Famous Restaurants (Drupal 기반 맵 응용 생성기 (MapAppGen) : 맛집탐방 응용 생성 사례)

  • Eum, Doo-Hun
    • The KIPS Transactions:PartD
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    • v.19D no.3
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    • pp.229-236
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    • 2012
  • The demand for map applications in both Web and mobile environments has been rapidly increased with the population of Web and smart phone usage. Web-based map applications are mostly developed on such environments as ArcGIS and MapServer and mobile map applications are developed on such API levels as Google Maps and Yahoo Maps. But many parts of map applications are still constructed by coding because these environments don't support high level of automation. Our MapAppGen that we have designed and implemented enhances the Web-based map application productivity by generating the map related modules that can be applied to the Drupal that is one of popular content management systems(CMS's). Comparing the applications that are constructed by the Drupal-supported GMap or NodeMap, the applications that are constructed by MapAppGen provide information on not only the interested geographical feature but also its related geographical features. MapAppGen uses Google Maps API and Drupal is a module-based system that supports the creation, composition and management of contents. We are now working on automatic generation of mobile map applications with MapAppGen.

An Illegally-copied App Detecting Method by Using Odex File in Android Platform (안드로이드 플랫폼에서 odex 파일을 이용한 불법 복제 앱 탐지 방법)

  • Cho, Dueckyoun;Choi, Jaeyoung;Kim, Eunhoe;Gang, Gi-Du
    • Journal of Internet Computing and Services
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    • v.16 no.2
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    • pp.67-75
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    • 2015
  • According to the changes of the mobile environments, the usage and interest of the Android apps have been increased. But the usage of illegally-copied apps has been also increased. And the transparency and dependability of the app markets has been decreased. Therefore there are many cases for the copyright infringement of app developers. Although several methods for preventing illegally-copied apps have been studied, there may exist possible ways to bypass the methods. Since it is difficult to find out the first distributors of the illegally-copied apps, it is not easy to punish them legally. This paper proposes the method of detecting illegally-copied apps. The proposed detector can detect the illegally-copied apps using odex file, which is created when the app is installed. The detector can also find out the information of the first distributors based on forensic watermark technique. Since the illegally-copied app detector is running as a service on the system server, it is granted that the detector hides from the users. As an experiment result, the illegally-copied app detector takes on average within 0.2 seconds to detect and delete an illegally-copied app.