Understanding Cross-Cultural Requirements in mHealth Design: Findings of a Usability Study of Indian Health Professionals

Chakraborty, Joyram; Rosasco, Nicholas; Dehlinger, Josh; Wadhwaniya, Shirin; Tetali, Shailaja; Gupta, Shivam

doi:10.1007/978-3-319-73135-3_9

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…It is a scholarly project that is designed to facilitate reading and interpretive practices for students and scholars oriented on Digital Humanities, as well as for the general public (https://voyanttools.org) (Bello, Clements, Dickerson & Hogarth, 2016;Sampsel, 2018;Rogers, 2018;Sinclair & Rockwell, 2015;Welsh, 2014). This tool is widely used in various scientific research (Bickett et al, 2017;Lee et al, 2018;Maramba et al, 2015;Chakraborty et al, 2018).…”

Section: Environments Data and The Technique Usedmentioning

confidence: 99%

The Technique for Automated Extraction of Contextual Knowledge From Information Resources of Text Modality

Kononova¹,

Prokudin²,

Yelkina³

2019

17th International Conference on E-Society 2019

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Dynamics of social development leads to formation of various cross-disciplinary scientific directions influencing both social development and transformations of scientific research. Development of the interdisciplinary scientific directions during the digital era is connected with the level of development and uses of technologies in information society, tools and network environments of scientific work support. The purpose of the conducted research is the integrated approach creation to the analysis of a terminology database of the developing interdisciplinary research in the distributed network environment. The research has been conducted on the arrays of information received from various digital sources including scientific publications for the last 10 years and the maintenance of social and public discourse (for example, publications in Media). Results of the analysis of Russian (e-Library) and English scientific publications (Scopus, Science Direct) on the subject are presented in the offered article for the direction "Digital Economy: e-Governance and Smart Technology" for the period of 2008-2018. The relevance of the subject chosen is caused by the beginning of the Program "Digital Economy of the Russian Federation" realization which publication results in repeated interest increase in subject both from media and scientific environment. The possibility of the scientific technique application developed by the authors on the information resources of text modality is suggested in the article. The technique is based on the integrated approach (the Synthetic Method) to the selection of digital information resources, extraction and the analysis of contextual knowledge and allows specifying terminology database of the formed interdisciplinary scientific direction "Digital Economy: e-Governance and Smart Technology". Russian-language distributed environment for scientific research T-Libra and multilingual Voyant-Tools are used as the tools for search, explication, and analysis of contexts.

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Section: Environments Data and The Technique Usedmentioning

confidence: 99%

The Technique for Automated Extraction of Contextual Knowledge From Information Resources of Text Modality

Kononova¹,

Prokudin²,

Yelkina³

2019

17th International Conference on E-Society 2019

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Uncertainty avoidance and acceptance of the digital payment systems: a partial least squares-structural equation modeling (PLS-SEM) approach

Alkhwaldi

Al-Qudah²,

Al-Hattami

et al. 2023

GKMC

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Purpose The purpose of this study is to investigate the determinants that likely influence the intention of using digital payment systems such as the Jordan Mobile Payment (JoMoPay) system among public sector employees in Jordan. To achieve the purpose of the current study, the authors developed a new research model based on the extended unified theory of acceptance and use of technology (UTAUT2), with one of Hofstede’s cross-cultural dimension scales [uncertainty avoidance (UA)] to provide a further understanding of the JoMoPay system acceptance in Jordan. Design/methodology/approach A partial least squares-structural equation modeling approach was used to analyze the data collected by self-administration from the 270 employees working in the Jordanian public sector located in Amman city, the capital city of Jordan. Because most main public sectors are located in Amman and because of the cost and time considerations, the current study applied a non-probability sampling with the purposive sampling technique. Findings The empirical results reveal that the evident drivers of behavioral intention to use the JoMoPay system are significantly and positively influenced by social influence, UA, performance expectancy, price value and effort expectancy; therefore, the H1, H2, H3, H5 and H6 were supported. Conversely, the results show no significant relationship between facilitating conditions and the behavioral intention to use the JoMoPay system, and hence, the related hypothesis (H4) was not supported. Practical implications The results of this study provide beneficial information to the Central Bank of Jordan and other service providers in Jordan about employee intentions to adopt JoMoPay system and increase decision-makers’ knowledge on factors that have an important impact in UTAUT2 model. Social implications The results of this study enable policymakers to understand the important factors that will enhance savings, investments and living standards, create job opportunities as well as reduce the poverty, the paper money printing cost, risks of money transportation cost and the risk of human errors. Originality/value The outcomes obtained will help both practitioners and researchers elucidate and understand the situation of digital payment systems acceptance among Jordanian public sector employees, as well as help them formulate plans to expedite the adoption process of digital payment systems in the case of UA.

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Understanding Cross-Cultural Requirements in mHealth Design: Findings of a Usability Study of Indian Health Professionals

Cited by 2 publications

References 15 publications

The Technique for Automated Extraction of Contextual Knowledge From Information Resources of Text Modality

The Technique for Automated Extraction of Contextual Knowledge From Information Resources of Text Modality

Uncertainty avoidance and acceptance of the digital payment systems: a partial least squares-structural equation modeling (PLS-SEM) approach

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