Scale to measure usability in Mobile Crowd Sensing (MCS) applications

Tezza, Rafael; Vargas, Guilherme Lima

doi:10.1080/09720510.2021.1878631

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…At first, we defined our sample and conducted observational research by analyzing the website content frequency and disposition and comparing it with previous classifications in theory. This procedure is commonly used by researchers in the technological field by building a counting checklist of items identified in websites and applications (Pinterits et al (2006), Stepchenkova et al (2010), Tezza et al , 2016; Tezza and Vargas, 2012). These data were analyzed by content analysis.…”

Section: Methodsmentioning

confidence: 99%

Website stage model for Brazilian wineries: an analysis of presence in digital and mobile media

Kieling

Tezza

Vargas

2022

IJWBR

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Purpose This study aims to expand previous work on website stage models by proposing a new model including a dimension encompassing digital integration and the context of mobile, digital marketing and new technologies. Also, this study aims to classify Brazilian wineries using the stage model proposed and verify if the designated stages influence the wineries’ presence in digital and mobile media. Design/methodology/approach Observational research and quantitative content analysis were adopted to examine a sample of winery websites (N = 150) located in different states and regions of Brazil and create a new website stage model. After the new model’s development, the authors conducted a statistic analysis by running a one-factor analysis of variance to assess the influence of the company’s stage in the use of digital media and mobile strategies, as well as its impacts on market development. Findings The results suggested a quite mature market regarding website stage position, even though there is still room for growth and technological innovation. Also, the research findings show that there is a positive association between the company’s stage in the use of digital and mobile media strategies. In other words, the more advanced the winery stage, the greater its digital media and mobile presence. Originality/value While previous studies attempted to identify wineries’ stages through models, this study presents a new approach by updating the past studies’ stages as well as providing and testing a digital media and mobile dimension. This research contributes to consolidating the Brazilian wine industry position regarding its presence in digital and mobile media, bringing reflections to organizations, society and theory development.

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Section: Methodsmentioning

confidence: 99%

Website stage model for Brazilian wineries: an analysis of presence in digital and mobile media

Kieling

Tezza

Vargas

2022

IJWBR

Self Cite

View full text Add to dashboard Cite

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A semantically enabled architecture for interoperable edge‐cloud continuum applied to the e‐health scenario

Martella,

Longo,

Zappatore

et al. 2024

Softw Pract Exp

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The progress made in the field of medicine and the consequent increase in the prospect of life have contributed to rise people's interest towards a healthier lifestyle. Fitness activity is becoming a must for those who aspire to live more and better. However, this should be accompanied by additional good practices to safeguard individuals' life from risks that could undermine their health. Most of these risks are linked to personal, surrounding, and contextual conditions that technology can detect and monitor. Recommender systems can adequately support fitness activity by performing data analyzes aimed at identifying possible risk factors for users, starting from their physiological data and those related to the closest context where they are. This article introduces the architecture of a recommender system called App4Health in the context related to both mobile crowd sensing and wellness. The App4Health architecture consists of a smart application platform, capable of interfacing and managing data from heterogeneous edge sources, such as mobile phones, IoT, and sensors. The analysis result consists of the semantic generation of healthy behavioral conducts to the user as Telegram BOT messages. For evaluating the proposed solution, the article also provides a case study and a testbed. The testbed consists of a comparative stress test of two edge software components of the App4Health's architecture in order to identify the performance degradation threshold of these components, assuming that they can be deployed on edge‐level hardware devices with different technical specifications and configurations.

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