scholarly journals FORMATIVE ELECTRONIC ASSESSMENTS DURING COVID-19 LOCKDOWN IN SECOND PHASE MEDICAL UNDERGRADUATES

2021 ◽  
pp. 141-145
Author(s):  
DHANYA SASIDHARAN PALAPPALLIL ◽  
DEEPA SUJATHA
Keyword(s):  
Computer Literacy ◽  
Ease Of Use ◽  
Formative Assessments ◽  
Assessment Tools ◽  
Second Phase ◽  
Perceived Ease Of Use ◽  
Privacy Concerns ◽  
Online Assessments ◽  
Medical Undergraduates ◽  
Traditional Assessments

Objective: Electronic learning and assessment was embraced in medical education worldwide following the COVID-19 pandemic. This study was done to determine the perceptions of medical undergraduates on formative electronic assessments conducted during COVID-19 lockdown and to estimate the mean marks scored in these assessments. Methods: This was a descriptive study done for a period of 3 months on online platform. Six online formative assessments were conducted on Google Forms or Kahoot. A questionnaire was administered as Google Form to collect the perceptions of the participants on perceived ease of use of platform, attitude, and practice adopted in online assessments. Data were analyzed using SPSS 16. Results: The response rate was 97.7%. Kahoot was perceived to be easier with lesser technical glitches and privacy concerns as compared to Google, while it was equivocal in terms of access assessment links, output storage, display clarity, overall user interface, network issues, need for computer literacy, and eyestrain caused. The participants had a positive attitude regarding the usefulness of online assessments however majority liked the traditional assessments more than the online assessments. While less than one-third (22%) had copy pasted some answers, more than half (54.4%) had referred to internet and more than three quarter (79.6%) had referred to textbooks/power points/notes while attending online assessments. Conclusion: The participants felt that Google Forms and Kahoot were comparable online assessment tools except for difficulty in filling, privacy concerns, and technical issues on Google Forms. The usefulness of online assessments was embraced by the participants but they felt that the traditional assessments were to be continued, while attending online assessments some students had referred to the internet or study materials.

Influential Factors of Wearable Activity Trackers Among Patients With Type 2 Diabetes Mellitus Based On The Big Five Personality Traits (Preprint)

2021 ◽  
Author(s):  
Zeming Li ◽  
Xinying Sun ◽  
Darui Gao ◽  
Lishi Fan ◽  
Ping Chen
Keyword(s):  
Type 2 Diabetes ◽  
Personality Traits ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Social Image ◽  
Privacy Concerns ◽  
Activity Trackers ◽  
Wearable Activity Trackers

BACKGROUND In China, for most diabetic patients, wearable activity trackers are an innovative product that has not yet been generally accepted and used. Many studies have proved personality traits to affect patients' self-management behavior with chronic diseases, the willingness to adopt medical services, and willingness to use mobile healthcare equipment. OBJECTIVE This study aimed to investigate the influence of personality traits of type 2 diabetes patients on the use intention of the intelligent wearable device -- wearable activity trackers METHODS A self-designed questionnaire and Chinese Big Five Personality Inventory brief version (CBF-PI-B) were used to investigate type 2 diabetes mellitus (T2DM) patients from 22 community health service stations affiliated to 4 community health service centers in Tongzhou District and Shunyi District of Beijing. RESULTS A total of 728 cases were included in this study. Monofactor analysis indicated differences between patients with different genders in neuroticism, individual innovation, and behavioral intention, differences between patients with different ages in neuroticism, openness, individual innovation, and privacy concerns, differences between patients with different degree of education in openness, extraversion, perceived ease of use, the individual innovation and social image, and differences between patients with different income levels in openness, extraversion, perceived ease of use and individual innovation. The structural equation showed that perceived ease of use, perceived usefulness, social image, and privacy concern had direct effects on behavioral intention (β=0.158, 0.223, 0.151, -0.657). Neuroticism had a positive impact on social image and privacy concerns (β=0.144, 0.154). Conscientiousness and openness had a positive influence on perceived ease of use (β=0.147, 0.142). Agreeableness showed negative impacts on both perceived ease of use and privacy concerns (β=-0.108, -0.251). Openness and extroversion both had a positive impact on individual innovation (β=0.149, 0.180) while openness generated a positive influence on social image (β=0.189). CONCLUSIONS Different personality traits had influences on individual innovation, privacy concerns and social image, and indirectly affect patients’ intention to use wearable activity trackers. Therefore, personalized guidance and health education could be carried out according to different personality traits when using intelligent wearable devices in the intervention of patients with type 2 diabetes.

scholarly journals Healthcare at Your Fingertips: The Acceptance and Adoption of Mobile Medical Treatment Services among Chinese Users

2020 ◽  
Vol 17 (18) ◽  
pp. 6895 ◽  
Author(s):  
Qingchuan Li
Keyword(s):  
Medical Treatment ◽  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Privacy Concerns ◽  
Treatment Services ◽  
Proposed Model ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Mobile health (mHealth) services have recently been receiving increasing attention. However, there is a lack of knowledge about how users accept and adopt mobile medical treatment (MMT) services, some of the most promising mHealth services that aim to extend the patient–physician relationship beyond the conventional clinic environment. To fill this research gap, this study proposes a research model for predicting consumers’ acceptance behavior toward MMT services based on the Technology Acceptance Model (TAM). A survey was conducted among 303 Chinese MMT service users to evaluate the proposed model and relevant hypotheses using partial least squares. Several key findings were summarized from the results: (1) the attitude toward using MMT, technology anxiety, and trust are significantly associated with users’ behavioral intention to use MMT services; (2) the perceived ease of use, perceived usefulness, and trust significantly influence users’ attitude toward using MMT services; (3) the perceived interactivity, perceived personalization, and privacy concerns have significant impacts on users’ perceptions of ease of use, usefulness, and trust toward MMT services. The current findings have both theoretical and practical implications that may guide practitioners and researchers to better understand consumers’ acceptance of MMT services.

scholarly journals Research on Face Recognition and Privacy in China—Based on Social Cognition and Cultural Psychology

2021 ◽  
Vol 12 ◽  
Author(s):  
Tao Liu ◽  
Bijiao Yang ◽  
Yanan Geng ◽  
Sumin Du
Keyword(s):  
Face Recognition ◽  
Social Cognition ◽  
Private Information ◽  
Positive Impact ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Actual Use

With the development of big data technology, the privacy concerns of face recognition have become the most critical social issue in the era of information sharing. Based on the perceived ease of use, perceived usefulness, social cognition, and cross-cultural aspects, this study analyses the privacy of face recognition and influencing factors. The study collected 518 questionnaires through the Internet, SPSS 25.0 was used to analyze the questionnaire data as well as evaluate the reliability of the data, and Cronbach’s alpha (α coefficient) was used to measure the data in this study. Our findings demonstrate that when users perceive the risk of their private information being disclosed through face recognition, they have greater privacy concerns. However, most users will still choose to provide personal information in exchange for the services and applications they need. Trust in technology and platforms can reduce users’ intention to put up guards against them. Users believe that face recognition platforms can create secure conditions for the use of face recognition technology, thus exhibiting a higher tendency to use such technology. Although perceived ease of use has no significant positive impact on the actual use of face recognition due to other external factors, such as accuracy and technology maturity, perceived usefulness still has a significant positive impact on the actual use of face recognition. These results enrich the literature on the application behavior of face recognition and play an important role in making better use of face recognition by social individuals, which not only facilitates their daily life but also does not disclose personal privacy information.

scholarly journals Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?

2020 ◽  
Vol 12 (3) ◽  
pp. 773 ◽  
Author(s):  
Sang Soo Kim
Keyword(s):  
Cost Saving ◽  
Purchase Intention ◽  
Ease Of Use ◽  
Hierarchical Regression ◽  
Open Market ◽  
Perceived Ease Of Use ◽  
Time Saving ◽  
Privacy Concerns ◽  
Motivation Factors ◽  
Purchasing Intention

This study aims to investigate motivational factors and motivation hindering factors of online shopping via online open market platforms. For a comprehensive exploration, the response data were collected from a total of 417 Korean consumers before conducting a hierarchical regression analysis. The results showed that the effects of motivation factors on purchasing intention were all supported. As for moderating effects of concerns for e-commerce, privacy concerns by time saving, perceived ease of use, and security concerns by cost saving were found to be statistically significant. Privacy concerns by cost saving and business integrity concerns by time saving were also found to be statistically significant, but had a positive effect as opposed to an initial prediction. The finding denotes that, in order to reduce concerns for e-commerce, consumers may prefer using the online shops they can trust based on their previous shopping experience. Various concerns identified and analyzed in this study are clues to better understanding what potentially motivates or obstructs consumers to shop online, thereby helping businesses thrive in the online open market.

Understanding user acceptance of blockchain-based smart locker

2020 ◽  
Vol 38 (2) ◽  
pp. 353-366
Author(s):  
Jiunn-Woei Lian ◽  
Chih-Teng Chen ◽  
Li-Fang Shen ◽  
Hung-Ming Chen
Keyword(s):  
Service Providers ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Network Externality ◽  
Second Phase ◽  
Perceived Ease Of Use ◽  
Critical Factors ◽  
Content Type ◽  
Security Problem

Purpose The purpose of this study is to explore the critical factors that affect users’ acceptance and usage intention toward blockchain-based smart lockers. Design/methodology/approach The research is designed in two phases. In the first phase, the key stakeholders are interviewed. Participants include managers from technology providers and logistics companies. In the second phase, a questionnaire survey is used to validate the proposed model. Findings Based on the final results, this study makes the following three suggestions. First, perceived usefulness and perceived ease of use are the critical factors. In other words, it is important to emphasize the function and convenience of a new service when introducing it to a potential user. Second, safety is not the major concern when using a blockchain-based smart locker. This means that users will trust the service provider for providing a secure service. Users do not worry about the security problem. Finally, the network externality of smart locker is also insignificant. Originality/value This study has three major contributions. First, this study identifies the critical factors that will affect user acceptance of blockchain-based smart lockers. Next, this study combines the opinions from service providers and users to understand the gap between different stakeholders. Finally, this study can enrich our understanding on the applications of blockchain from a managerial perspective and not only from a technical perspective, as in most previous studies.

scholarly journals Determinants of Online Purchase Intention of Apparel Products in Lebanon

2022 ◽  
Vol 12 (1) ◽  
pp. 1-18
Author(s):  
Rania B. Mostafa ◽  
Hassan Naim Hannouf
Keyword(s):  
Purchase Intention ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Online Data ◽  
Privacy Concerns ◽  
Online Purchase ◽  
Intention To Purchase ◽  
Emerging Country ◽  
Online Shoppers

This study investigates factors (perceived usefulness, perceived ease of use, privacy concerns, trust, innovativeness, and perceived benefits) affecting Lebanese consumers’ attitude toward online purchasing and their intention to purchase online. Data collected from 416 online shoppers were analyzed using regression analysis. All the factors affect attitude towards online purchasing except trust and privacy concerns which were not supported. In addition, results show that attitude toward online purchasing affect online purchase intention. This study is the first to empirically examine factors influencing online purchase intention towards apparel products in Lebanon. The study provides insight from an overlooked emerging country, Lebanon.

scholarly journals Attitude of Generation Z towards Internet Usage for E-Commerce in Selangor, Malaysia

2019 ◽  
Vol 8 (3S2) ◽  
pp. 565-570
Keyword(s):  
Computer Literacy ◽  
Total Sample ◽  
Ease Of Use ◽  
Internet Usage ◽  
Perceived Ease Of Use ◽  
Independent Variables ◽  
Generation Z ◽  
Dependent Variables ◽  
Specific Factors ◽  
Spss Software

This study examines a study of Generation Z attitudes toward internet usage for E-commerce in selangor, Malaysia. The specific factors studied were attitude toward internet usage; computer literacy; consumer lifestyle; and perceived ease of use. This study drew on a total sample size of 150 respondents and distributed questionnaires to collect the data. The collected data was analyzed using the Statistical Package for Social Science (SPSS) software, Version 23. All the results and findings based on the data collected were further summarized, including Cronbach’s Alpha, descriptive statistics, correlation analysis, and multiple regression. The results indicate that the independent variables have a significant positive relationship with the dependent variables in this study. This study could be beneficial to Generation Z because it increases our understanding of the factors of E-commerce.

An empirical investigation of organizations’ switching intention to cloud enterprise resource planning: a cost-benefit perspective

2017 ◽  
Vol 35 (2) ◽  
pp. 290-302 ◽  
Author(s):  
Yu-Wei Chang ◽  
Ping-Yu Hsu
Keyword(s):  
Cloud Computing ◽  
Enterprise Resource Planning ◽  
Perceived Control ◽  
Perceived Risk ◽  
Cost Benefit ◽  
Resource Planning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Privacy Concerns

Although cloud computing has a number of benefits, privacy risks play a critical role in organizations’ decisions to switch to cloud services. However, few studies on cloud adoption have investigated effects of both benefits and costs on switching intention. Based on cost-benefit analysis and technology acceptance model, this study develops a research model to investigate how benefits (perceived usefulness and perceived ease of use) and costs (perceived risk and privacy concerns) influence organizations’ switching intention to cloud Enterprise Resource Planning (ERP). The model also accounts for trust and perceived control in the context of cloud computing. Perceived usefulness, perceived ease of use, and privacy concerns significantly affect switching intention. Trust can enhance perceived usefulness and perceived ease of use and reduce perceived risk. Perceived control can also reduce perceived risk and privacy concerns. The findings are useful to understand switching issues from traditional ERP to cloud ERP for both researchers and practitioners.

Factors affecting the frequency and amount of social networking site use: Motivations, perceptions, and privacy concerns

First Monday ◽  
2010 ◽  
Author(s):  
Jiyoung Cha
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Web Sites ◽  
Social Networking Sites ◽  
Two Dimensions ◽  
Social Networking Site ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Privacy Concerns ◽  
Site Use

The purpose of this study is to explore the factors that affect the use of social networking Web sites. In doing so, this investigation focuses on two dimensions of social networking site use frequency (i.e., how often people use social networking sites) and amount (i.e., how much time people spend on social networks). Integrating the technology acceptance model with uses and gratification and other consumer characteristics, this study found that interpersonal utility, perceived ease of use, privacy concerns, and age predict the frequency of social networking site use. Interpersonal utility motive, escape motive, and Internet experience explain the time spent on social networking sites.

scholarly journals Analysing antecedence of an intelligent voice assistant use intention and behaviour

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 496
Author(s):  
Rusen N Tanribilir
Keyword(s):  
Technology Acceptance ◽  
Ordinary Least Squares ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Cross Sectional ◽  
Privacy Concerns ◽  
Perceived Needs ◽  
Technology Acceptance Models

Background: As the use of intelligent voice assistant applications becomes more prevalent, a growing body of studies are examining individuals' interactions with intelligent voice assistants. However, very limited research has focused on comparing the antecedents of both use and non-use behaviour of individuals, based on the technology acceptance models. To fill this gap, the present study investigated antecedents of intelligent voice assistance use and use intention in a cross-sectional setting. Additionally, to go one step beyond the existing literature on technology acceptance models and theories, a new construct termed perceived needs, as well as the moderating role of perceived privacy concerns and perceived awareness, are introduced. Method: A quantitative, cross-sectional research design was utilised using a nonprobability sampling strategy through the online networking platforms. Total of 277 (n = 155 users vs n = 122 non-users) international adults age between 20-74 years (79.6% female, 20.4 %  male) contributed to the study. Ordinary least squares (OLS) linear regression and Bivariate logistic regression analyses for non-users and users were conducted, respectively. Results: Both analyses revealed that peer influence and perceived needs related to the intention to use intelligent voice assistants for non-users, which applied to the current intelligent voice assistance users where privacy concerns were considered. Surprisingly, the key determinants of technology acceptance and use theories, such as perceived ease of use and perceived usefulness, did not hold for intelligent voice assistance usage. Conclusion: The current research contributed to the field by validating new constructs of perceived needs and the moderation role of perceived privacy concerns. However, in order to build on an existing body of knowledge, future studies should further examine the moderation role of perceived privacy concerns, perceived ease of use, and perceived usefulness in the same domain.

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