Digital Literacy Concepts and Measurement

Davydov, Sergey; Logunova, Olga; Maltseva, Daria; Schmeißer, Alexander; Zadorin, Igor

doi:10.1007/978-3-030-33016-3_6

Cited by 10 publications

(8 citation statements)

References 2 publications

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“… Data were taken in June 2018 and April-June 2020. Digital Literacy/DL Scale [4] Dimensions: To effectively search and find the necessary information (Scale no. 1–3; code: SF1 – SF3) To protect oneself from malicious and redundant content (Scale no.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…Factors of Celebrity Worship (CWS) are Entertainment-social (ES), Intense-personal (IP), and Borderline-pathological (BP) [3] . Factors of Digital Literacy (DL) are: to effectively search and find the necessary information (SF); to protect oneself from malicious and redundant content (PC); to verify and critically evaluate information using alternative sources of information (VI); to adequately perceive information and effectively use it (PU); to effectively and correctly disseminate information (CD); and specific skills, ability to use new media, use internet-services and technical devices (SS) [4] . Factors of Nostalgia (NA) are Positive Affect (PA), Self-regard (SR), Social Connectedness (SC), and (4) Meaning in life (ML) [5] .…”

Section: Data Descriptionmentioning

confidence: 99%

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Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

et al. 2020

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This dataset is a measurement of Celebrity Worship (CWS), Digital Literacy (DL), and Nostalgia (NA). The participants were (1) For CWS, N = 3,223 people (181 males, 3042 females; M age = 19.64 years old; SD age = 3.13 years), (2) For DL, N = 482 people (225 males, 257 females; M age = 25.16 years old; SD age = 8.54 years), (3) For NA, N = 658 people (140 males, 518 females; M age = 21.26 years old; SD age = 1.93 years). The data was obtained using a survey via Google Forms in June 2018 and April–July 2020 in Indonesia. The analysis techniques were confirmatory factor analyses/CFA using LISREL and test of differences using JASP. The data could be used by the Indonesian Ministry of Communication and Informatics (KEMENKOMINFO), Indonesian Ministry of Education and Culture (KEMENDIKBUD), Indonesian Ministry of Youth and Sports (KEMENPORA), as well as social marketers to map the three constructs in Indonesian youth and to prevent the adverse effects and impacts of celebrity worship, digital illiteracy, and inappropriate mode of nostalgia.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Data Descriptionmentioning

confidence: 99%

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

et al. 2020

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“…It includes the evaluation of information, without claiming systematic review and metaanalysis as its own, covering the organization of information but does not claim the construction and operation of terminology, taxonomy, and thesauri (Koltay, 2011). Digital literacy is a skill needed to navigate information critically in an increasingly digital age (Gilster, 1997;Davydov et al, 2020;Pangrazio et al, 2020). Iordache et al, (2017); Rozak et al, 2021;, grouping digital literacy indicators, including operational and technical, digital information and communication, digital and strategic content creation, ICT literacy, media literacy and habits using digital platforms.…”

Section: Digital Literacymentioning

confidence: 99%

Entrepreneurial Performance Model: A Business Perspective in the Digital Economy Era

Firmansyah¹,

Wahdiniwaty

Budiarti

2023

JBME

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The adequacy of digital literacy (DL) among entrepreneurs can trigger the birth of readiness and ability to carry out digital transformation (DT) in relevant business processes and models in the digital economy era to improve entrepreneurial performance with better competitiveness. Also the existence of an entrepreneurial commitment to market orientation (MO) will facilitate business success. This research identifies and explores entrepreneurial performance (EP) models in the digital economy era in terms of DT, DL and MO mediation. The path analysis model was used to test the combined interaction of DT and DL with EP, and the MO relationship that mediates all three. The findings, DT and DL had a significant positive effect on MO both individually and jointly. DT directly has a significant positive effect on EP, also DL directly has a significant positive effect on EP. Sobel test results, it is known that DT has an insignificant positive effect on EP through MO, while DL has a significant positive effect on EP through MO. MO has the mediating effect of DT and DL relationships in influencing EP, consequently MO has a positive impact on EP. This research offers a framework for the performance model of entrepreneurship in a business perspective in the era of the digital economy. The adoption and modification of marketing mix factors into new marketing mix models is necessary to support the implementation of strategies and practices. An exploration of the influence of innovative new marketing mix models on DT practices, DL readiness and MO clarity in the context of entrepreneurship, as well as their implications for business performance, can be considered as future research directions.

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“…По результатам анализа предметного поля цифровой грамотности А. В. Шариков предлагает четырехкомпонентную модель, включающую такие элементы, как технико-прагматические возможности, содержательно-коммуникативные возможности, технико-технологические угрозы и социопсихологические угрозы [Шариков, 2016]. Подробный анализ традиции изучения цифровой грамотности в России приводится в публикации [Davydov et al, 2020].…”

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Цифровые Компетенции Россиян И Работа На Самоизоляции Во Время Пандемии COVID-19

Геннадьевич¹

2021

MONITORING OF PUBLIC OPINION

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Массовый переход россиян на удаленную работу во время пандемии COVID-19 стал возможен благодаря достигнутому уровню цифровых компетенций, ключевой составляющей цифровой грамотности. Статья основана на материалах измерения самооценки цифровых компетенций взрослого населения России, совместно проведенного в конце апреля 2020 г. ВЦИОМ и «Социал Бизнес Групп». Предложена классификация цифровых компетенций, востребованных как в повседневных, так и в профессиональных практиках. Выделены четыре квартиля цифровых компетенций в зависимости от уровня самооценки их наличия в анализируемой аудитории, а также четыре кластера россиян в зависимости от уровня адаптированности к цифровой среде.

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Digital Literacy Concepts and Measurement

Cited by 10 publications

References 2 publications

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

Confirmatory factor analysis of celebrity worship, digital literacy, and nostalgia: Dataset of Indonesians

Entrepreneurial Performance Model: A Business Perspective in the Digital Economy Era

Цифровые Компетенции Россиян И Работа На Самоизоляции Во Время Пандемии COVID-19

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