• Title/Summary/Keyword: COVID-Pandemic

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Technological Factors Facilitating B40's Motivation in Malaysia to Continue Using Online Crowdsourcing Platform

  • NA'IN, Nuramalina;HUSIN, Mohd Heikal;BAHARUDIN, Ahmad Suhaimi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.117-126
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    • 2021
  • The increasing number of retrenchments because of the current global pandemic, Covid-19, has led many to shift to the digital economy, especially among the low-income group (B40) in Malaysia. Crowdsourcing is the collection of information, opinions, or work from a group of people, usually sourced via the Internet. Fueled by the development of Internet-based platforms that provided its technological foundation, and the need for an agile and uniquely skilled workforce, crowdsourcing has grown from the grassroots, with a burgeoning body of research investigating its many aspects. However, very few studies examined crowd workers' motivation for continuous participation on online crowdsourcing platforms. Thus, this paper aims to explore the technological factors that facilitate B40's group motivation in Malaysia to continue to participate in online crowdsourcing platforms. This paper employed a qualitative approach, using a semi-structured interview. The thematic analysis method was used to decode the data extracted from the interview transcript. The finding of this study identified four main themes and seven sub-themes: (1) Technology efficacy, (2) Platform Management: client-worker management, safety net, payment mechanism, (3) Platform Design: UI design, rating feature and (4) Infrastructure: Internet connection, technology infrastructure. This study can provide a guideline for managing crowdsourcing practices in Malaysia, especially for the crowdsourcing platform developer.

State of the Art of Anti-Screen Capture Protection Techniques

  • Lee, Young;Hahn, SangGeun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.5
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    • pp.1871-1890
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    • 2021
  • The transition toward a contactless society has been rapidly progressing owing to the recent COVID-19 pandemic. As a result, the IT environment of organizations and enterprises is changing rapidly; in particular, data security is expanding to the private sector. To adapt to these changes, organizations and companies have started to securely transfer confidential data to residential PCs and personally owned devices of employees working from home or from other locations. Therefore, organizations and companies are introducing streaming data services, such as the virtual desktop infrastructure (VDI) or cloud services, to securely connect internal and external networks. These methods have the advantage of providing data without the need to download to a third terminal; however, while the data are being streamed, attacks such as screen shooting or capturing are performed. Therefore, there is an increasing interest in prevention techniques against screen capture threats that may occur in a contactless environment. In this study, we analyze possible screen capture methods in a PC and a mobile phone environment and present techniques that can protect the screens against specific attack methods. The detection and defense for screen capture of PC applications on Windows OS and Mac OS could be solved with a single agent using our proposed techniques. Screen capture of mobile devices can be prevented by applying our proposed techniques on Android and iOS.

Factors Influencing the Adoption of mHealth Services in Saudi Arabia: A Patient-centered Study

  • Almegbel, Halah;Aloud, Monira
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.313-324
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    • 2021
  • This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

M-Learning Systems Usage: A Perspective from Students of Higher Educational Institutions in Sri Lanka

  • SHAMEEM, Aliyar Lebbe Mohamed Abdul;SANJEETHA, Mohamed Buhary Fathima
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.637-645
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    • 2021
  • Mobile devices have become attractive learning devices for education. The digitalization of the higher education system in Sri Lanka by 2020 is part of the government's effort to modernize and enhance the country's overall education system particularly in view of the COVID-19 pandemic. Theoretically, this study contributes to the M-Learning model in higher education institutions via the integration of literature on technology adoption (TAM and UTAUT) with the variables of Perceived Usefulness, Perceived Ease of Use, Attitude, Effort Expectancy, Social Influence, and Facilitating Condition. The attitude towards M-Learning amongst higher education students was gauged via an online questionnaire survey. The convenience sample comprised 344 students from the Advanced Technological Institutes (ATI) in Batticaloa District, Sri Lanka. Descriptive statistics, a measurement, and structural model, and hypotheses testing were used to analyze the derived data. The findings indicate that mobile learning is significantly affected by perceived ease of use, social influence, effort expectancy, and facilitating condition, but negatively affected by attitude and perceived usefulness. The exhaustive literature review revealed that there are very few M-Learning studies related to digital learning in the context of higher education in the Batticaloa district.

A Survey Study on Face-to-face & Non-face-to-face Classes for Students Majoring in Radiology (방사선전공 학생들을 대상으로 면대면 & 비대면 수업에 관한 설문조사 연구)

  • Son, Jin-Hyun;Kim, Hyun-Soo
    • Journal of radiological science and technology
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    • v.43 no.6
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    • pp.511-518
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    • 2020
  • In the pandemic situation due to corona 19, we examined the satisfactory level of students' between non-face-to-face and online classes in the first year of radiology. In the case of online non-face classes related to radiation majors, it is considered better to conduct real-time lectures than recorded lectures, which allows students to understand difficult radiation majors throughout real-time questions and answers, and at the same time allows them to sympathize with difficult subjects such as intimacy and bonds between students. As a result of the analysis of the answers to questionnaires, the coefficient of answer correlation between first and second grade students is P>0.05, and there is no answer correlation between grades, and it can be seen that the higher the grade, the higher the demand for face-to-face classes was.

Analysis of 3D Facial Shapes of Female Adult to Improve Face Mask Fit

  • Choi, Jin;Do, Wol Hee
    • Fashion & Textile Research Journal
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    • v.22 no.6
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    • pp.826-833
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    • 2020
  • When it is necessary to wear masks for long periods, such as during the current COVID-19 pandemic, the essential function of masks to prevent contamination (or transmission to others) as well as comfortableness are important. For this study, we used three-dimensional (3D) facial measurements of adult women to compile basic face shape data for designing comfortable and effective masks. This study analyzed the 3D facial data of 127 subjects in their 20s to 30s of the 6th Size Korea. Factor analysis of the survey data produced seven factors that formed the composition of adult female faces. These factors combined to produce three facial types: square (long face and a large lower middle face), oval (smallest central and lower body in the middle), and triangle (short face with a small central and lower large nose). These types reflect that the facial types of adult women show the differences in the nose angle, nose length, bitragion-subnasal arc, bitragion-menton arc. Therefore, properly fitting masks for fine dust particle filtration require 3D customization of a mask's breathing apparatus to fit differently shaped central and lower face parts that interfere with mask fit.

Exploring Working Group's Psychological Subjectivity on Public Smart Work Services in a Cloud-based Social Networking

  • Kim, Ki Youn;Song, In Kuk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4748-4762
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    • 2020
  • Recently, the COVID 19 pandemic has affected on our daily lives and society in many ways. Specifically, it has brought rapid changes in the working environment from office working to smart telecommuting. In addition, cloud computing technology and services not only provided ubiquitous access, but also led to a sharing of information, internal-external communication channels, telework, and innovative smart work for the business process. As a result, smart work services based on social cloud networking have spread to the public sector. However, existing academic research examining smart work merely remains to focus on the theoretical conceptualization or to deal with merely several examples of private views. Best practices of smart work services based on cloud computing technology in the public field rarely exists. Moreover, many studies have been differently measured the values of smart work for private and public sectors depending on organizational singularities. Therefore, the study aims to define new theoretical implications and to explore future business strategies and policy directions based on a technical working group's personal psychological subjectivity. The research applied Q methodology, and selected five public organizations in Korea, that they have adopted or currently plan to adopt some part of smart work services.

A Study on the Dispute Cases and Improvement Related to the FTA Cumulation: A Focus on the KOREA-ASEAN FTA (FTA 원산지누적 분쟁사례와 개선방안 연구: 한-아세안 FTA를 중심으로)

  • Ko, Jai-Kil
    • Journal of Arbitration Studies
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    • v.30 no.4
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    • pp.95-119
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    • 2020
  • Securing a stable supply chain is becoming a significant concern among countries as the global uncertainty rises with the expansion of global protectionism and the result of what the COVID-19 pandemic has brought around the world. This study has investigated dispute cases between customs authority and trade corporations based on the KOREA-ASEAN FTA and suggested the following implications and improvements: Firstly, the extent (varieties) of the proof document on cumulation and its form should be stipulated and provided through consultation between customs from each contracting party. Secondly, it ought to be prescribed as an obligation so that producers located in the third country can cooperate in providing documents for certification of origin. The duty to provide such documentary evidence should also be specified when making EX-IM contracts. Lastly, origin verification provisions regarding cases to which cumulation is applied have to be complemented so that the verification period's extension can be applied and approved. One can expect that the abovementioned responses on cumulation will enhance the availability of KOREA-ASEAN FTA.

Sasang Constitution Analysis and Wine Recommendation App suggestion through Mobile Face Recognition

  • Sung, Ki-hyuk;Ryu, Gi-hwan;Yun, Dai-yeol
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.155-162
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    • 2021
  • With the global COVID-19 pandemic, the tourism sector and all consumption have contracted with the untact era. Wine will also be sold and developed in various ways non-face-to-face in the future. Therefore, it is necessary to develop apps and web servers that focus on health in the era of single-person households and non-face-to-face. This study used facial recognition data based on photos of adult men and women in their 40s and 50s to analyze the Sasang constitution through a mobile app and web server, and suggested wine recommendations suitable for their constitution. First, the user's body information is entered. And through the facial recognition mobile app, recommend the right wine after analyzing the body type. if it's not like the first recommended wine, it is configured to receive another wine recommendation. In the future, the number of single-person households will increase further, and in the age of well-being, wine recommendations that fit my body will be useful. Wine recommendation suitable for Sasang constitution will be a useful mobile application to manage personal healt

Retail Distribution Strategies for Train Tickets: The Extended UTAUT Model

  • PARK, Yoon-Joo;AHN, Sung-Sook
    • Journal of Distribution Science
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    • v.19 no.9
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    • pp.5-17
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    • 2021
  • Purpose: As mobile devices are commonly used and contact-free services are widespread due to the COVID-19 pandemic in the recent distribution environment, this study suggests retail strategies for consumers using high-speed railways. To this end, we analyzed how consumer perception on technologies necessary for use of mobile apps is related to the attitude that drives consumers to continue using the app services. Research design, data and methodology: Based on the extended unified theory of technology acceptance and use of technology model by Venkatesh, Morris, Davis and Davis (2003), we added variables proposed by existing theories that studied the technology acceptance model from multiple perspectives and empirically analyzed the relationship between user satisfaction and use intention with structural equation modeling. Results: As expected, factors necessary for the use of app services such as performance expectancy, social influence, price value, facilitating conditions, security, and aesthetics had positive effects on user satisfaction, whereas the effect of effort expectancy on user satisfaction was rejected. And user satisfaction was found to have a significant effect on intention to use. Conclusions: The results provide implications that strategic retail management of the above factors can motivate passengers to continuously use high-speed railways.