scholarly journals The Impact of COVID19 on E grocery Mobile Apps: Urban Township Perspective

Author(s):  
Marcia Mkansi
2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.


2019 ◽  
Vol 8 (1) ◽  
pp. 17
Author(s):  
Azar Kazemi ◽  
Hosna Salmani ◽  
Alireza Shakibafard ◽  
Farhad Fatehi

Introduction: The popularity of mobile phone applications (Apps) and wearable devices for medical and health purposes is on the rise, but not all the mobile health (mHealth) innovative solutions that hit the news every day will sustain and have an impact on the health of people. The aim of this news-based horizon scanning study was to explore and identify new and emerging mobile technologies that are likely to impact the future of health and medical care.Methods: We conducted a systematic search on top ranking technology websites, according to Alexa Ranking, to identify health-related mobile-based technologies. We followed the EuroScan guide for horizon scanning, which recommends four steps: identification, filtering, prioritization, evaluation and conclusion. Technologies of interest were mHealth technologies regardless of their maturity level. The impact of technologies was assessed and scored in four areas: user, technology, safety, and cost.Results: Five hundred news articles were identified through the electronic search. After screening, 106 mHealth innovative technologies were included in this study. We categorized the included technologies into three groups: mobile apps (n=37), smart-connected devices (n=19), and wearables (n=50). mHealth technologies were most frequently developed for preventive health services, mental health services and rehabilitation services. There was no remarkable difference between the technology groups in terms of safety and adverse effects, but the groups were significantly different in terms of the target population, technology, and cost.Conclusion: An increasing number of solutions based on mobile technology is being developed by both public and private sectors but a low proportion of them undergo proper scientific evaluations. Despite the commercial availability of many innovative mobile apps, wearables, and smart connected devices, few of them have been actually used in clinics, hospitals, and health centers. There is a clear need for changes in healthcare service models to unlock the full potential of these innovative technologies.


2017 ◽  
Vol 9 (3) ◽  
pp. 248-264 ◽  
Author(s):  
Preeti Tak ◽  
Savita Panwar

Purpose The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps. Design/methodology/approach The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data. Findings The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping. Research limitations/implications Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced. Originality/value This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.


This chapter discusses emerging issues and technologies, such as ethical responsibilities in a changing technological environment, the use of analytics and artificial intelligence, the evolution of communications technology, and the growth of block chain and mobile apps technology. Mobile apps technology is a very exciting development because the nature of the applications is very personal and target specific customer needs, hence gradually resolving the issue of explicitly knowing the customer and meeting its personal needs through the concept of personas. This chapter provides numerous examples of how the various technological developments can be specifically implemented to enhance public service delivery in the digital era. In this context, Chapter 12 has two important implications, namely the impact of the technology trends to revolutionise public service delivery on the operations of government entities and users of government services in the future.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jie Tang ◽  
Umair Akram ◽  
Wenjing Shi

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.


Author(s):  
Ricki Ng ◽  
Stephen R Carter ◽  
Sarira El-Den

AbstractIn 2008, Apple and Android launched their Application or “App” stores. Since then, there has been a growing interest in using mobile apps for improving medication adherence. However, research on the efficacy of apps, in terms of improved medication adherence and clinical outcome and/or patient-related outcome measures (PROMs) is scarce. The objective of this research was to systematically review the impact of apps on consumers’ medication adherence and to determine the effect on clinical outcome and/or PROM(s). A systematic literature search was conducted to identify publications aimed at improving medication adherence published from January 2008 to April 2018. All studies were assessed for risk of bias using either the Risk Of Bias In Non-randomized Studies-of Interventions or the revised tool for Risk of Bias in randomized trials tool, depending on study design. Eleven randomized controlled trials (RCTs) and 10 non-RCTs were included. All 11 RCTs showed improvements in adherence; however, only seven reported statistically significant improvements in at least one adherence measure. Nine RCTs also demonstrated improvements in clinical outcome/PROM(s), of which five were statistically significant, whereas two RCTs did not report on clinical outcome/PROM(s). Only two studies using non-RCT study designs showed statistically significant improvements in all measures of adherence and clinical outcome/PROM(s). The risk of bias was moderate or serious for all included studies. Even though the use of an app may improve adherence, it is difficult to draw conclusions regarding the impact of apps on medication adherence due to the high degree of heterogeneity across studies, from the methodological design to the features of the app and the measure of adherence.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2081 ◽  
Author(s):  
Andreas Biørn-Hansen ◽  
Tor-Morten Grønli ◽  
Gheorghita Ghinea

Along with the proliferation of high-end and performant mobile devices, we find that the inclusion of visually animated user interfaces are commonplace, but that research on their performance is scarce. Thus, for this study, eight mobile apps have been developed for scrutiny and assessment to report on the device hardware impact and penalties caused by transitions and animations, with an emphasis on apps generated using cross-platform development frameworks. The tasks we employ for animation performance measuring, are those of (i) a complex animation consisting of multiple elements, (ii) the opening sequence of a side menu navigation pattern, and (iii) a transition animation during in-app page navigation. We employ multiple performance profiling tools, and scrutinize metrics including frames per second (FPS), CPU usage, device memory usage and GPU memory usage, all to uncover the impact caused by executing transitions and animations. We uncover important differences in device hardware utilization during animations across the different cross-platform technologies employed. Additionally, Android and iOS are found to differ greatly in terms of memory consumption, CPU usage and rendered FPS, a discrepancy that is true for both the native and cross-platform apps. The findings we report are indeed factors contributing to the complexity of app development.


Author(s):  
Snežana Štetić ◽  
◽  
Dario Šimičević ◽  
Jelena Aksentijević ◽  
Igor Trišić ◽  
...  

Mobile applications, as a very dynamic segment of modern ICT (Information and Communication Technology), are in widespread use in tourism. Tourist destinations are increasingly using mobile applications to manage the development of a destination product, that is, the applications themselves are seen as an important part of the destination product and the overall tourists’ experience. This paper focuses on mobile applications and their use in destination management and the achievement of overall tourist satisfaction. Special attention is paid to the use of mobile applications in the management of tourism development in Belgrade as well as the impact of mobile applications on tourists’ experience of Belgrade as a tourist destination.


2015 ◽  
pp. 1186-1212 ◽  
Author(s):  
Rodrigo Sandoval-Almazan ◽  
Yaneileth Rojas Romero

The mobile government has become a reality in a large majority of countries around the world. However, the use of mobile apps (small software programs for use on mobile devices) to link government Websites and information is a recent trend that is becoming of interest to citizens and public officials. The uses, advantages, and disadvantages have recently become a study field for several scholars around the globe. The mobile government is not new for e-government scholars; however, the explosion of apps and the increase of smart phones have created a new trend in the mobile government field. In order to understand these phenomena in the Mexican society, the authors have gathered data from different sources: government departments, business enterprises, and citizen organizations. Based on this information, they analyze the impact of apps across the country and suggest a classification method that can be used for a better understanding of this new field. In this chapter, the authors discuss five small case studies, which they consider good examples to follow by different government organizations. To accomplish this objective, they divide this chapter into seven main sections. After the introduction, the authors provide a literature review, describe the method of study and classify the apps, discuss the findings with the model application, present the case studies for government apps, discuss ideas for future research on government apps, and then in the final section, they present final remarks and conclusions of the investigation.


2019 ◽  
Author(s):  
Raymond L Ownby ◽  
Amarilis Acevedo ◽  
Drenna Waldrop-Valverde

Health literacy is a key factor in health outcomes that should be considered when creating mobile health promotion apps. In this paper, we detail our work over the past 10 years in developing the theory and practice of targeting the content of mobile apps at a level appropriate for the intended audience. We include a review of our theory of health literacy as expertise, the ASK model, and integrate it with the Theory of Planned Behavior. We then provide data that support both the model and its use. More recently, we have developed a predictive analytic model that uses demographic information and patient performance on a 10-item screening measure to determine patient level of health literacy at a high level of accuracy. The predictive model will enable apps to automatically provide content to users at an appropriate level of health literacy. This strategy, along with other aspects of tailoring, will allow apps to be more personally relevant to users, enhancing their effects in promoting health behavior change.


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