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PurposeAmid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.Design/methodology/approachThe authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.FindingsThe authors' findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.Practical implicationsThis study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.Originality/valueThis research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.
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Covid-19 pandemic has forced online classes to be conducted mostly without proper introduction and preparation. This shift also made teachers and students gradually accustomed to independent learning. Several mobile applications have been developed for foreign language learning. However, only few Android applications were developed for non-linguistic courses offered by foreign language departments at the university level. The effectiveness of such an application to improve students' learning in universities, therefore, has not been conducted. This article reports the finding of a quasi-experimental research on the effect of using an Android application tailored for Research Method for Applied Linguistics students at an English department on their mastery of the course. The research data were collected through tests and a documentary study and calculated using ANCOVA statistical calculation. With the course mastery as the dependent variable, the use of Android application as the independent variable, and reading skills as covariates, the research revealed that the use of Android Learning Application significantly improves the EFL students' mastery of Research Methods for Applied Linguistics course. Further researchers are suggested to study the effect of the use of Android learning application on EFL students' mastery of a non-language course with significantly different students' levels of reading skills.
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This paper presents a new method to quantify the potential user time savings if the urban bus is given preferential treatment, changing from mixed traffic to an exclusive bus lane, using a big data approach. The main advantage of the proposal is the use of the high amount of information that is automatically collected by sensors and management systems in many different situations with a high degree of spatial and temporal detail. These data allow ready adjustment of calculations to the specific reality measured in each case. In this way, we propose a novel methodology of general application to estimate the potential passenger savings instead of using simulation or analytical methods already present in the literature. For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. The estimated bus delay is obtained by comparing the estimated bus travel time with the bus travel time under free-flow conditions. Finally, estimated bus passenger time savings would be obtained if an exclusive bus lane had been implemented. An estimation of the passenger's route in each vehicle trip is considered to avoid average value simplifications in this calculation. A case study is conducted in A Coruña, Spain, to prove the methodology's applicability. The results showed that 18.7% of the analyzed bus trips underwent a delay exceeding 3 min in a 2,448 m long corridor, and more than 33,000 h per year could have been saved with an exclusive bus lane. Understanding the impact of different factors on transit and the benefits of a priority bus system on passengers can help city councils and transit agencies to know which investments to prioritize given their limited budget.
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Consumption and production of digital goods and services have increased in Indonesia for the past ten years. A fast-growing e-commerce sector and an increase in digital payments supported the strong growth of the digital economy. Although Internet and digital transactions emerged in the late 1980s, the regulatory framework governing digital activities was only introduced in 2008 with the enactment of the Law on Electronic Information and Transactions. The government of Indonesia has relaxed foreign capital restrictions and provided fiscal incentives for digital businesses. Indonesia has also made commitments related to digital business in recent trade agreements in terms of the mutual recognition of consumer protection and cross-border data transfer. To encourage the use of ICT in public service, Indonesia introduced the 100 Smart City programme and has begun the implementation of electronic-based public service and operation (e-government). The government accelerated digital transformation during the COVID-19 pandemic by increasing the budget allocations for ICT in 2020 and 2021. To further accelerate digital transformation, the government needs to focus on digital literacy, nationwide integrated infrastructure, regulatory and institutional mechanisms and the innovation ecosystem.
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Mobile live commerce is emerging as a new distribution channel as connectivity and information sharing become easier due to the increase in the use of SNS and mobile phones. Nevertheless, there is a lack of research in this field, and it is meaningful to look at how this new technology-based commerce leads to purchase intention in terms of the value of shopping perceived by consumers. This study aims to (1) analyze the characteristic factors of mobile live commerce, which is rapidly emerging due to brisk changes in the distribution industry in the non-contact era;and (2) verify the relationship between shopping value and purchase intention. We analyzed 283 surveys using partial least squares structural equation modeling (PLS-SM) with statistical product and service solutions (SPSS) and R-programming. We inferred that convenience, ubiquity, social presence, attractiveness, and vividness were the characteristics of mobile live commerce that had a positive effect on the pleasure value, and that social presence, attractiveness, vividness, professionalism, information quality, and compatibility had positive effects on the perceived value. The hedonic value also had a positive effect on the perceived value, and both pleasure and perceived values had strong positive effects on the purchase intention. However, the professionalism of the sources did not affect the hedonic value, and the convenience and ubiquity did not affect the perceived value.
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The study analyzes the learning environment before and after the Covid-19 pandemic based on a survey among parents. The parents were asked to give their perceptions of the changes in their childrens learning behavior and the mode of teaching-learning due to the pandemic. The findings indicate that there is a significant change in the learning environment and that the post-pandemic situation is perceived unfavorably by parents.
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A new approach to learning is mobile learning (m-learning), which makes use of special features of mobile devices in the education sector. M-learning is becoming increasingly common in higher education institutions all around the world. The use of mobile devices for education and learning has also gained popularity in Jordan. Unlike studies about Jordan, there are many studies that thoroughly analyze the situation of m-learning in other countries. Thus, it is important to understand the current situation of m-learning at Jordanian universities, especially in light of the COVID-19 pandemic. While there have been some studies conducted prior to COVID-19 and a few studies after COVID-19, there is a need for a comprehensive study that provides an in-depth exploration of the current situation, student adoption, benefits, disadvantages, and challenges, particularly following COVID-19. Therefore, this study utilizes a sequential exploratory mixed research method to investigate the current state of the art of m-learning in Jordanian higher education with a particular focus on student adoption, benefits, disadvantages, and challenges. Firstly, the study explores the existing literature on m-learning and conducts 15 interviews with educators and learners in three Jordanian universities to gain insights into their experiences with m-learning. The study then distributes a survey to students at four Jordanian universities, representing both public and private universities, to generalize the results from the qualitative study. Additionally, the study investigates the relationship between student enrollment in public/private universities and the adoption of m-learning. The study came to the conclusion that students have a positive opinion of m-learning and are also willing to use it. However, there are a number of disadvantages and challenges to its adoption. Additionally, there is a relationship between student enrolment in public/private universities and the adoption of m-learning. These findings have important implications for institutions that want to incorporate m-learning into their undergraduate and graduate degree programs, as they aid decision-makers in these universities in creating frameworks that may be able to meet the needs of m-learning.
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Teaching geology under COVID-19 pandemic conditions led to teaching limitations for educators and learning difficulties for students. The lockdown obstructed face-to-face teaching, laboratory work, and fieldtrips. To minimize the impact of this situation, new distance learning teaching methods and tools were developed. The current study presents the results of an empirical study, where distance learning teaching tools were constructed and used to teach geology to university students. A mineralogical mobile phone application was used to replace laboratory mineral identification and a flow chart to replace laboratory rock identification. Additionally, exercises on faults and maps were developed to fill the gap that was created as field work was impossible. A university course on geology was designed on the basis of the constructed distance learning teaching tools, and more than 100 students from the Department of Civil Engineering attended the course. The results show that the proposed tools helped the students to considerably understand scientific information on geology and supported the learning outcomes. Thus, it is suggested that the teaching tools, constructed for the purposes of the study, could be used in conditions when distance learning is required, or even under typical learning conditions after laboratories, as well as before or after fieldtrips, for better learning outcomes.
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With the emergence of a number of food ordering applications in the market, it has become equally challenging for customers to choose from the available applications. The objective of this study is to determine the level of awareness about online food ordering applications among customers. Further, the study evaluates the factors affecting customer perception towards online food ordering applications in Punjab. The study also determines the influence of demographic variables on the buying behavior of customers on online food ordering apps. The primary research data was collected through a structured questionnaire from 485 respondents who prefer ordering food through virtual applications, and SPSS software was used for analysis. Factor analysis was employed to find out the behavior of respondents towards food delivery applications. ANOVA was applied to check the impact of demographics on customer perception. The study identified eight factors affecting customer perception towards food ordering applications, i.e., discounts and offers, perceived ease of use, customer support, convenient operating hours, reliability, restaurant choice and variety, alternative mode of payment and serviceability of which 'discounts and offers' was found to be the most important factor. Further, the findings of the study revealed a significant role of demographic variables such as age, education, occupation and income in affecting customers buying behavior towards food ordering applications.
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Around the world, mobile phones have been used for quite some years now to put healthcare systems into interactive action through various mobile health applications. The results regarding efficiency, access, greater social equality, and interconnectivity are proven, and they promise to mitigate economic and educational gaps. All this is increasingly the case in sub-Saharan Africa (SSA), where the technological prerequisites are quickly evolving. About 500 million people in SSA--more than 46 percent of the region's population--were subscribing to mobile services in 2020, and their numbers are forecast to reach 615 million in 2025. In the meantime, coverage works also in the structurally poorest areas. In 2020, 2G mobile network coverage in Burkina Faso was 81 percent for the territory and 92.4 percent for the population. The high penetration rate of mobile phones and the increasing coverage of the mobile network has created a vast variety of opportunities for health provision. Mobile devices can no longer be ignored in practical health delivery and disease prevention workflows.
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[5] Longer usage of mobile phones resulted in poorer sleep quality (delayed sleep phase, sleep duration, altered sleeping patterns, chronotype, and sleep quality), increased fatigue, and insomnia which, in turn, results in several mental health issues. [...]melatonin offers an alternative treatment to the currently available pharmaceutical therapies for sleep disorders with fewer side effects. The individuals who were undergoing medical treatment for any mental health disorders were excluded from the study. [...]sleep in multiple ways restores both normal levels of brain activity and normal "balance" among the different functions of the central nervous system.
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The phenomenon of problematic mobile phone use has become increasingly common among adolescents during the lockdowns mandated by the COVID-19 pandemic. However, research is still scarce on the impact of such use on delinquent cyberspace conduct (i.e. cyberbullying). This study applies the theoretical framework of general strain theory to examine how problematic mobile phone use affects the perpetration of cyberbullying. The results of this empirical examination of longitudinal survey data obtained from 2,161 adolescents in South Korea reveal that problematic mobile phone use is positively associated with engagement in cyberbullying. It is a type of strain that induces negative emotional states and results in the perpetration of cyberbullying. Furthermore, this study investigates the moderating roles of both traditional bullying experiences (i.e. traditional bullying and victimisation) in the association between problematic mobile phone use and the perpetration of cyberbullying. We found traditional bullying perpetration positively moderates the effects of problematic mobile phone use on cyberbullying. On the other hand, we found the moderating effect of traditional bullying victimisation of adolescents was insignificant.
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Grounded in the technology-organization-environment framework, this paper investigates critical drivers of mobile commerce (m-commerce) adoption intention by SMEs in Saudi Arabia, a developing country in transition, during the COVID-19 pandemic. A quantitative approach was adopted in this study for data collection and analysis. A proposed research model was tested and validated using PLS-SEM on data collected using a structured questionnaire from a sample of 171 Saudi SMEs located in the capital city of Riyadh. The findings reveal that top management support, environmental uncertainty and perceived benefits are the critical drivers of m-commerce adoption intention. However, perceived costs do not influence firms' intentions to adopt m-commerce. This study contributes to a better understanding of m-commerce adoption intention in developing countries, particularly in Saudi Arabia. Both theoretical and practical implications of interest can be derived from this study.
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Mobile learning has become a critical aspect of online learning in the post-pandemic era. As a result, practitioners and policymakers have paid increasing attention to mobile learning acceptance among various stakeholders. However, there is a vacuity of literature on mobile learning acceptance in developing countries, particularly in the African context. This study sought to examine the determinants of mobile learning acceptance among undergraduates in higher educational institutions using a structural equation modelling approach. Data were collected through a web survey distributed to 415 undergraduate students in Namibia. The majority of the UTAUT relationships were confirmed, although some were not supported. The results revealed a strong positive relationship between performance expectancy and hedonic motivation. Hence, hedonic motivation mediates the relationship between performance expectancy and behavioural intention to use mobile learning in Namibia. The results of this study may help to inform mobile learning implementation efforts, particularly in the post-pandemic period.
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This control system is a modern new device which integrates sensing technology, computer technology, network communication technology and mobile communication technology. The system is mainly composed of STM32 single chip microcomputer (SCM) as the control core, sensor as the information detection element, with the corresponding executive mechanism, voice broadcast, display and mobile device. In addition to the functions of conventional push-key call and obstacle detection between elevator doors, it also has the functions of mobile phone remote monitoring, voice recognition control, telephone call alarm and so on. By detecting and recognizing the call signals from keys, mobile phones and voices, the SCM sends forward and reverse commands to the motor and PWM wave signals to the steering gear, so as to realize the opening and closing of elevator lifting and elevator doors. After the elevator reaches the target floor, there will be corresponding voice prompts. When the elevator door is opened, the infrared tube sensor is used to detect whether there are obstacles between the elevator doors. If so, the buzzer makes an alarm. If not, the elevator door closes with delay. All running states of the elevator will be displayed on the OLED screen in real time, and reported to the mobile phone for remote monitoring by users. The corresponding functions are realized after programming and physical debugging. The mobile phone remote call and voice call functions of the system have more prominent advantages during the COVID-19 or in hospitals, which can realize contactless riding, avoid contact with infected germs and greatly save waiting time. © 2022 SPIE.
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Mobile Positioning Data (MPD) contains information on the location of the mobile phone by approximating mobile phones' location relative to fixed infrastructures (e.g., telecommunication towers that transmit signals). While the data query is technically straightforward, obtaining this dataset requires particular permission to protect customers' privacy. Additionally, the dataset has large volumes of data (i.e, up to 300GB per day), resulting in not many researchers holding this data source to analyze the mobility of people. In this work, we collaborate with one of the biggest telecommunication service providers in Indonesia to collect MPD and prepare the big data infrastructure. We thus analyze mobility patterns during the early phase of COVID-19 in 2020 using actual Mobile Positioning Data in five provinces in Java. We use three metrics, namely, the number of visits, averaged travel distance, and Origin-Destination matrix. The findings indicate that the social restriction in the corresponding provinces has reduced the average traveled distance of the people, but not their number of visits. That is, while the traveled distance has declined more than eight times compared to the baseline, the number of visits may rocket up, up to nine times. It indicates that people are still having shorter trips even though their regular activities (working, schooling, etc.) have been restricted. The data also show that during Ramadhan month, the government has a successful intervention in restricting people for mudik Lebaran, The number of visits dropped to below 30 visits during Ramadhan and only small spikes exist during 'libur lebaran'. © 2022 IEEE.
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BackgroundThe acronym SAPHO stands for synovitis, acne, pustulosis, hyperostosis, and osteitis. It is a rare heterogenous disease with unknown etiology and a chronic relapsing and remitting course1. Its skin and osteoarticular manifestations including palmoplantar pustulosis (PPP) and synovitis may be transient which further complicate the diagnosis. So, awareness about all features of the syndrome throughout the time seems mandatory for correct diagnosis and avoidance of unnecessary procedures.Case presentation.A case of SAPHO syndrome being reported in a middle-aged man who presented with bilateral PPP and exacerbation of back pain which developed shortly after covid-19 vaccine injection with a history of more than 20 years of inflammatory thoracic back pain and psoriasis vulgaris who initially had been worked up for metastatic bony lesions based on radiologic studies, irrespective of his skin lesions. The patient had good response to alendronate 70 mg weekly and celecoxib 200 mg BID without aggravation of existing skin lesions or new psoriatic lesions.ConclusionThis case report aims to inform rheumatologists and radiologists about various radiologic and dermatologic manifestations of SAPHO syndrome with emphasizing on taking into consideration of past and present skin lesions in the interpretation of the radiologic signs in order to prevent irrelevant procedures or hazardous imaging and to urge rheumatology societies to set up a SAPHO registry for future randomized controlled trials. Suggestion of PPP responsiveness to NSAIDs as a new potential diagnostic tool for SAPHO diagnosis is another goal. It also aims to point out the possible coexistence of SAPHO and SpA or DISH syndrome.
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Several organizations have used remote healthcare monitoring solutions using Mobile phone technologies either as Android and or iOS. Such mobile applications are much cheaper to keep the elderly and people who have chronic and infectious diseases (such as pneumonia, COVID-19, SARS, Chest diseases, diabetes and others) in their own homes rather than in health-care facilities. The purpose of this project is to combine state wide detailed health data and mobile data using Flutter Mobile technology. The proposed project will mainly include an analytics component combining health factors and social network analysis to develop health monitoring tool for chronic diseases such as diabetes. It should be noted that a development of a remote monitoring prototype is described and called a Secure Health Monitoring System for Diabetes (SHMSD). Nowadays smartphones such as Android, IOS, Micro Windows and Huawei mobile phones are programmable and include a collection of cheap powerful embedded sensors (such as an accelerometer digital compass gyroscope GPS microphone and camera) which are enabling the emergence of personal and community scale sensing applications. Therefore the sensor-equipped mobile phones are revolutionize the healthcare and social networks sectors. The proposed system combines a Geographic Positioning Systems (GPS) with the ability to remotely access the information from anywhere. Security issues related to such monitoring are also discussed. © 2022 IEEE.
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Purpose>The research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an integration between protection motivation theory (PMT) and unified theory of acceptance and use of technology (UTAUT). This study also investigates the importance of physical distancing norm for behavioral intention toward MQP.Design/methodology/approach>A web-based survey was designed and data were accumulated from 411 validated respondents who have used MQP or tend to utilize it in Vietnam. Statistical analysis was conducted using SPSS and AMOS to verify the hypotheses.Findings>Results illustrated that behavioral intention is motivated by key antecedents of PMT (including perceived severity, perceived susceptibility and self-efficacy) and important factors of UTAUT (including performance expectancy, effort expectancy and social influence), and physical distancing norm. Moreover, perceived severity promotes performance expectancy, whereas self-efficacy boosts effort expectancy in MQP. Lastly, behavioral intention and recommendation were indicators of the diffusion of MQP under COVID-19.Practical implications>MQP is just in its infant stage in Vietnam;thus, the findings provide managerial implications, which will aid service providers and firms to adopt marketing strategies that enhance consumers' acceptability and recommendation of MQP to the public.Originality/value>Little is empirically considered the effects of perceived threat-related factors in PMT and physical distancing norm on behavioral intention toward MQP in a salient pandemic setting. Furthermore, the antecedents in UTAUT contribute greatly to behavioral intention. This study enlightens the diffusion of MQP based on behavioral intention and recommendation.
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Cashless transactions are common in business sectors and in cities to a large extent. But after the announcement of the demonetization of all Rs. 500 and Rs. 1,000 banknotes on November 8, 2016 by the Government of India, all the sectors to the maximum extent adopted cashless transactions. SHGs too have adopted this culture by installing mobile apps on their smart phones. During 2015-16, NABARD, through its project Eshakti digitisation of SHGs, has made an attempt to update the SHG bookkeeping on a real time basis to bring transparency and credibility. The project EShakti had the advantage of addressing the problem of book keeping through available technology, knowing the credit history of SHG members, generating grades for SHGs based on their financial and non-financial records and making them available to all important stakeholders. The stakeholders, namely bankers can now take informed decisions on extending credit linkages on the basis of reports generated through EShakti. In this paper, an attempt is made to study the adoption of cashless transactions in SHGs in the Konaseema region.