scholarly journals Analyzing the Coevolution of Mobile Application Diffusion and Social Network: A Multi-Agent Model

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 521
Author(s):  
Zhenyu Zhang ◽  
Huirong Zhang ◽  
Lixin Zhou ◽  
Yanfeng Li
Keyword(s):  
Social Network ◽  
Mobile Applications ◽  
Mobile Application ◽  
Dynamic Change ◽  
Real Life ◽  
Network Evolution ◽  
Agent Model ◽  
Value Perception ◽  
Multi Agent ◽  
The Impact

The successful diffusion of mobile applications in user groups can establish a good image for enterprises, gain a good reputation, fight for market share, and create commercial profits. Thus, it is of great significance for the successful diffusion of mobile applications to study mobile application diffusion and social network coevolution. Firstly, combined with a social network’s dynamic change characteristics in real life, a mobile application users’ social network evolution mechanism was designed. Then, a multi-agent model of the coevolution of a social network and mobile application innovation diffusion was constructed. Finally, the impact of mobile applications’ value perception revenue, use cost, marketing promotion investment, and the number of seed users on the coevolution of social network and mobile application diffusion were analyzed. The results show that factors such as the network structure, the perceived value income, the cost of use, the marketing promotion investment, and the number of seed users have an important impact on mobile application diffusion.

scholarly journals Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System

2020 ◽  
Vol 12 (7) ◽  
pp. 2884
Author(s):  
Lixin Zhou ◽  
Jie Lin ◽  
Yanfeng Li ◽  
Zhenyu Zhang
Keyword(s):  
Social Networks ◽  
Innovation Diffusion ◽  
Mobile Applications ◽  
Mobile Application ◽  
Network Effects ◽  
Network Effect ◽  
User Behaviors ◽  
Multi Agent ◽  
The Individual ◽  
The Impact

Mobile application innovation diffusion can be used to enhance the reputation and competitiveness of Internet enterprises. However, few works have explored the process of mobile application innovation diffusion from the individual perspective. Therefore, this paper employs multi-agent methods to simulate the innovation diffusion of mobile applications from the perspective of social networks. Specifically, we combine psychology, sociology, game theory and network effect theory to model user behaviors of adoption and rejection decisions for mobile applications. The multi-agent model was built in Anylogic 8 to simulate the communication and interaction between individual users. Then, this paper discusses the evolution of decision-making of social network user groups with different network structures and network effects. We also investigate the impact of different firms’ promotion on innovation diffusion. Our findings suggest firms could make better strategies and achieve better diffusion effects from mobile applications.

Usages of Mobile Application Developed by Krishi Vigyan Kendra Banavasi

2022 ◽  
Vol 58 (1) ◽  
pp. 72-75
Author(s):  
M. Jayalakshmi ◽  
G. Prasadbabu ◽  
B. H. Chaithanya ◽  
A. Lavanya ◽  
T. Srinivas
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Andhra Pradesh ◽  
Fertilizer Application ◽  
Control Measures ◽  
Improved Varieties ◽  
Related Information ◽  
Livestock Farmers ◽  
Agriculture Fertilizer ◽  
The Impact

A survey was conducted to assess the impact of mobile applications developed by theKrishiVigyan Kendra Banavasi with 150 farmers in Kurnool district of Andhra Pradesh inthe year 2020. KVK Banavasi developed three mobile applications namely ANGRAU-ATARI CFLD, ANGRAU Pashu Poshan and Fertilizer Calculator for benefiting farmingcommunity. Majority (64.67%) of the respondents were found in medium usage of mobileapplications, in agriculture. Fertilizer Calculator mobile application was found highest usage(74.50%) among the farmers when compared with other two applications. ANGRAUATATRI CFLD application was used by an average of 46.83 per cent farmers forinformation on new improved varieties, 75 % for control measures of pest and diseasesand 29 per cent for market related information. ANGRAU Pashu Poshan application wasused by 75 per cent livestock farmers for sheep management, 56 per cent for cattlemanagement and 45 per cent for poultry related information. Fertilizer calculator applicationwas used by 80 per cent farmers for recommended dose of fertilizers and 10 per cent forsoil test based fertilizer application.

The Impact of Mobile Health use on the Self-Care of Patients with Type 2 Diabetes: A Protocol for a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Lucija Gosak ◽  
Majda Pajnkihar ◽  
Gregor Štiglic
Keyword(s):  
Type 2 Diabetes ◽  
Family Medicine ◽  
Mobile Applications ◽  
Mobile Application ◽  
Controlled Trial ◽  
Self Care ◽  
The Self ◽  
Control Group ◽  
The Impact

BACKGROUND Chronic diseases are an important public health issue worldwide and affect an individual's quality of life. Due to the alarming rise in type 2 diabetes, healthcare, which was previously largely focused primarily on diagnosis and treatment of the disease, is increasingly focused on prevention and self-care. Patients who adhere to a constant and strict treatment regimen (physical activity, diet, medication) and regularly monitor their health, maintain self-care and health, prevent exacerbation of the disease and prevent complications of diabetes (retinopathy, diabetic feet). Many innovative devices that have become increasingly present in patient health care in recent years, such as mobile applications, are available to patients to maintain consistency in monitoring their health status. Mobile applications make it easier for individuals to monitor their self-care, monitor illness, and make it easier to follow instructions regarding disease control. OBJECTIVE The study aim is to determine the impact of mobile application use on self-care in patients with type 2 diabetes. The aim of the study is also to evaluate and test the usefulness of the forDiabetes application as a tool to improve the self-care of individuals with type 2 diabetes. METHODS We will perform a double-blind randomized controlled trial. The study will include individuals over the age of 18 who have been diagnosed and have regulated type 2 diabetes, who have already received oral treatment and are being treated in family medicine practice. Also, individuals included in the study should not have any acute complications due to the consequences of type 2 diabetes. During the study, they should be able to use an Android or iOS mobile phone and a blood glucose meter. With the help of simple randomization, individuals will be divided into an intervention and a control group. Individuals in the intervention group will use the forDiabetes mobile app to monitor their self-care for type 2 diabetes. Individuals in the control group will not receive a special intervention. Data will be collected using the “Self-care of Diabetes Inventory” questionnaire and a “Brief Illness Perception Questionnaire”. Blood sugar, blood pressure, HbA1c, and weight measurements will be monitored using the calibrated instruments during the study by the nurses employed in family medicine practice. Data will be collected at the beginning of the study and after the patient visit to the family medicine practice. RESULTS The expected results as a result of using the mobile application forDiabetes are the impact on the level of self-care, the impact on the perception of the disease, blood sugar levels, blood pressure, HbA1c, and the measured body weight of the patient. CONCLUSIONS The research contributes to greater visibility and usability of mobile applications for self-care of patients with type 2 diabetes and makes aware of the possible use of innovative methods. CLINICALTRIAL NCT04999189

Measuring the Impact of Social Media

2011 ◽  
pp. 24-36 ◽  
Author(s):  
Kimiz Dalkir
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Evaluation Method ◽  
Real Life ◽  
Work Processes ◽  
The Social ◽  
Post Test ◽  
The Impact

This chapter focuses on a method, social network analysis (SNA) that can be used to assess the quantity and quality of connection, communication and collaboration mediated by social tools in an organization. An organization, in the Canadian public sector, is used as a real-life case study to illustrate how SNA can be used in a pre-test/post-test evaluation design to conduct a comparative assessment of methods that can be used before, during and after the implementation of organizational change in work processes. The same evaluation method can be used to assess the impact of introducing new social media such as wikis, expertise locator systems, blogs, Twitter and so on. In other words, while traditional pre-test/post-test designs can be easily applied to social media, the social media tools themselves can be added to the assessment toolkit. Social network analysis in particular is a good candidate to analyze the connections between people and content as well as people with other people.

Mobile Evaluations in a Lab Environment

2008 ◽  
pp. 910-926
Author(s):  
Murray Crease ◽  
Robert Longworth
Keyword(s):  
Task Performance ◽  
Mobile Device ◽  
Mobile Applications ◽  
Mobile Application ◽  
Real Life ◽  
Factor Mobility ◽  
Subjective Workload ◽  
Simple Classification

The evaluation of mobile applications is increasingly taking into account the users of such applications’ mobility (e.g., Mizobuchi, Chignell, & Newton, 2005; Mustonen , Olkkonen, & Hakkinen, 2004). While clearly an important factor, mobility on its own often does not require the user’s visual focus to any great extent. Real-life users, however, are required to be aware of potential hazards while moving through their environment. This chapter outlines a simple classification for describing these distractions and two evaluations into the effect visual distractions have on the users of a mobile application. In both cases, the participants were required to monitor both their environment and the display of their mobile device. The results of both evaluations indicated that monitoring the environment has an effect on both task performance and the subjective workload experienced by the participants, indicating that such distractions should be considered when designing future evaluations.

scholarly journals A fair efficacy formula for assessing the effectiveness of contact tracing applications

2020 ◽  
Author(s):  
Adam Fowler
Keyword(s):  
Mobile Applications ◽  
Mobile Apps ◽  
Time Windows ◽  
Real Life ◽  
Contact Tracing ◽  
Proximity Detection ◽  
Epidemiological Risk ◽  
Efficacy Measure ◽  
Impact Of Technology ◽  
The Impact

AbstractMobile contact tracing apps have been developed by many countries in response to the COVID-19 pandemic. Trials have focussed on unobserved population trials or staged scenarios aimed to simulate real life. No efficacy measure has been developed that assesses the fundamental ability of any proximity detection protocol to accurately detect, measure, and therefore assess the epidemiological risk that a mobile phone owner has been placed at. This paper provides a fair efficacy formula that can be applied to any mobile contact tracing app, using any technology, allowing it’s likely epidemiological effectiveness to be assessed. This paper defines such a formula and provides results for several simulated protocols as well as one real life protocol tested according to the standard methodology set out in this paper. The results presented show that protocols that use time windows greater than 30 seconds or that bucket their distance analogue (E.g. RSSI for Bluetooth) provide poor estimates of risk, showing an efficacy rating of less than 6%. The fair efficacy formula is shown in this paper to be able to be used to calculate the ‘Efficacy of contact tracing’ variable value as used in two papers on using mobile applications for contact tracing [6]. The output from the formulae in this paper, therefore, can be used to directly assess the impact of technology on the spread of a disease outbreak. This formula can be used by nations developing contact tracing applications to assess the efficacy of their applications. This will allow them to reassure their populations and increase the uptake of contact tracing mobile apps, hopefully having an effect on slowing the spread of COVID-19 and future epidemics.

scholarly journals The Impact of Using Mobile Applications on Health Outcomes in Patient Self-Management of Oral Anticoagulation Therapy

2021 ◽  
Author(s):  
Hamid Moghaddasi ◽  
Mohammadreza Naderi Haji ◽  
Babak Sharif-Kashani ◽  
Alireza Kazemi
Keyword(s):  
Health Outcomes ◽  
Therapeutic Range ◽  
Oral Anticoagulation ◽  
Mobile Applications ◽  
Mobile Application ◽  
Anticoagulation Therapy ◽  
Self Management ◽  
Oral Anticoagulation Therapy ◽  
The Mean ◽  
The Impact

Abstract Background Between one and two percent of the population of the developed countries are currently treated with oral anticoagulation therapy. The transition of all or part of the responsibility for therapy management to the patient is an appropriate strategy to respond increasing demand for oral anticoagulation therapy. The main objective of this original study was to investigate the impact of using mobile applications on health outcomes in patient self-management of oral anticoagulation therapy. Methods The papers reviewed in this study had two key characteristics: firstly, they were written in English, and secondly, they used mobile application in oral anticoagulation therapy. An Android mobile application called XrinA was developed to provide warfarin patient self-management. The study was conducted following a Before-After study design. In the Before and After periods, patients were treated as usual and by using the developed application, respectively. Results In the Before period, the mean percentage of International Normalized Ratios (INRs) within the therapeutic range and Time in Therapeutic Range (TTR) of patients was 31.63% and 34.4%, respectively. In the After period, the mean percentage of INRs within the therapeutic range and TTR of patients was 41.41% and 49.97%, respectively. In the After period, the mean INRs within the therapeutic range and the mean TTR increased by 9.78% and 15.57%, respectively. Conclusions Overall, the use of mHealth applications improved outcomes in patient self-management of oral anticoagulation therapy in terms of the percentage of INRs within the therapeutic range and TTR.

scholarly journals Contributions to the Study of Semantic Interoperability in Multi-Agent Environments - An Ontology Based Approach

2010 ◽  
Vol 5 (5) ◽  
pp. 946
Author(s):  
Iulian-Florin Toma
Keyword(s):  
Real Life ◽  
Semantic Interoperability ◽  
Environment Simulation ◽  
Multi Agent ◽  
The Impact

This paper details the results of our work in the field of multi-agent ontology-based environment simulation. We analyze the impact of introducing some techniques for the alignment / translation / mapping of agent ontologies, which allows for collaborative understanding of distributed ontologies. In the end, we analyze the difficulties / gaps that are to be filled for an actual deployment of the technology / concept in a real life environment.

Mobile application for the timeshare industry

2015 ◽  
Vol 6 (3) ◽  
pp. 242-257 ◽  
Author(s):  
Manuel Rivera ◽  
Amy Gregory ◽  
Liza Cobos
Keyword(s):  
Mobile Technology ◽  
Mobile Applications ◽  
Mobile Application ◽  
Online Survey ◽  
Positive Influence ◽  
Tourism Industry ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Content Type ◽  
The Impact

Purpose – The purpose of this study is to examine consumer perceptions toward the adoption of mobile technology within the vacation ownership/timeshare segment of the hospitality industry. Despite the proliferation of mobile applications in the greater hospitality and tourism industry, few timeshare companies use this technology. However, customers have expressed strong intentions to use technology. Therefore, this study examines consumers’ attitudes toward and experiences with mobile applications and then through the use of a prototype, examines consumers’ intentions to use a mobile application. The relationships between attitude, experience and usefulness are explored in relation to intention to use. Design/methodology/approach – Consumers that owned timeshares in the Orlando area responded to an online survey invitation from their resort management company. The survey instrument gathered data related to consumers’ attitudes toward and experiences with technology using established measures. A total of 914 surveys were collected and the proposed model was analyzed using path analysis. Findings – Findings indicate that traditional technology adoption antecedents (experience, usefulness and attitude) explain timeshare owners’ intentions to use a mobile application. This is consistent with prior research. However, using established measures, the model explained consumers’ intentions to use the technology with greater certainty than what previous research has reported. Research limitations/implications – The most encouraging and noteworthy implications from the findings are threefold. First, timeshare owners are using mobile technology while traveling (mobile phones, tablets and laptops). The owners’ experiences with mobile devices exert a positive influence that moderates intention to use. In addition, the impact of technology experience on intent to use is mediated by perceived usefulness and attitudes toward the application. Though the sample size was large, limitations do exist, as those surveyed were all owners of a single timeshare resort based in Orlando, Florida. Originality/value – In studies reported to date, there is scarce empirical research regarding mobile application adoption for timeshare owners or information about the factors that drive usage, attitude and adoption. This study discusses important insights about mobile services for an industry that lacks research in information technology.

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