15 research outputs found

    Effects of perceptions of information overload, noise and environmental demands on wellbeing and academic attainment.

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    The present research considers components of information overload, which may have a negative impact on wellbeing and academic attainment. 179 university students completed a survey consisting of an information overload scale (IOS) and the wellbeing process questionnaire. Their academic attainment scores were also added to the database. The IOS scale also included questions relating to noise exposure. Both the noise scores and non-noise IOS scores were associated with greater negative wellbeing and lower positive wellbeing. There were no significant effects of noise or IOS scores on academic attainment. Wellbeing is predicted by a number of factors such as exposure to stressors, negative coping, social support and psychological capital. When these established factors were included in the analyses, the effects of noise and other aspects of IOS could be accounted for by exposure to other stressors and were no longer significant predictors of negative or positive wellbeing

    Where was COVID-19 first discovered? Designing a question-answering system for pandemic situations

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    The COVID-19 pandemic is accompanied by a massive โ€œinfodemicโ€ that makes it hard to identify concise and credible information for COVID-19-related questions, like incubation time, infection rates, or the effectiveness of vaccines. As a novel solution, our paper is concerned with designing a question-answering system based on modern technologies from natural language processing to overcome information overload and misinformation in pandemic situations. To carry out our research, we followed a design science research approach and applied Ingwersenโ€™s cognitive model of information retrieval interaction to inform our design process from a socio-technical lens. On this basis, we derived prescriptive design knowledge in terms of design requirements and design principles, which we translated into the construction of a prototypical instantiation. Our implementation is based on the comprehensive CORD-19 dataset, and we demonstrate our artifactโ€™s usefulness by evaluating its answer quality based on a sample of COVID-19 questions labeled by biomedical experts

    Information overload, wellbeing and COVID-19: A survey in China

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    (1) Psychology must play an important role in the prevention and management of the COVID-19 pandemic. The aim of the present study was to examine associations between the perceptions of information overload and wellbeing in China during the initial phase of COVID-19. (2) Methods: The present research involved a cross-sectional online survey, which controlled for established predictors of wellbeing and the perception of general (not COVID-19-specific) information overload. The setting of the research was China, February 2020. A total of 1349 participants completed an online survey, and the results from 1240 members of the general public who stated that they were uninfected are reported here (55.6% female; 49.4% single; age distribution: 17โ€“25 years: 26%; 26โ€“30 years: 24.3%; 31โ€“40 years: 23.9%; 41โ€“50 years: 16.2%; 51 years+: 9.6%; the most frequent occupations were: 21.5% students; 19.5% teachers; 25.9% office workers; 10.8% managers, plus a few in a wide range of jobs). The outcomes were positive wellbeing (positive affect and life satisfaction) and negative wellbeing (stress, negative affect, anxiety and depression). (3) Results: Regressions were carried out, controlling for established predictors of wellbeing (psychological capital, general information overload, positive and negative coping). Spending time getting information about COVID-19 was associated with more positive wellbeing. In contrast, perceptions of COVID-19 information overload and feeling panic due to COVID-19 were associated with more negative wellbeing. (4) Conclusions: These results have implications for the communication of information about COVID-19 to the general public and form the basis for further research on the topic

    Exploring the influence of information overload, internet addiction, and social network addiction, on studentsโ€™ well-being and academic outcomes.

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    This study explored how students' main information problems during the information age, namely internet addiction, information overload, and social network addiction, influence holistic well-being and academic attainment. The participants were 226 university students, all UK based and regular internet users. They answered the Internet Addiction Test, Information Overload Scale, Bergen Social Media Addiction Scale, and the Wellbeing Process Questionnaire. Data were analysed with SPSS using correlation and linear regression analysis. The univariate analyses confirmed the negative impact of information overload, internet addiction and social media addiction on positive well-being but not academic attainment. However, multivariate analyses controlling for established predictors of well-being showed that the effects of information overload, internet addiction and social media addiction were largely non-significant, confirming other research using this analysis strategy. Future research should examine the type of internet use as well as the extent of it

    How to prevent technostress at the digital workplace: a Delphi study

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    Technostress is a rising issue in the changing world of digital work. Technostress can cause severe adverse outcomes for individuals and organizations. Thus, organizations face the moral, legal, and economic responsibility to prevent employeesโ€™ excessive technostress. As technostress develops over time, it is crucial to prevent it throughout the process of its emergence instead of only reacting after adverse outcomes occur. Contextualizing the Theory of Preventive Stress management to technostress, we synthesize and advance existing knowledge on inhibiting technostress. We develop a set of 24 technostress prevention measures from technostress inhibitor literature, other technostress literature, and based on qualitative and quantitative contributions from a Delphi study. Based on expert feedback, we characterize each measure and, where possible, assess its relevance in addressing specific technostressors. Our paper contributes to research by transferring the Theory of Preventive Stress Management into the context of technostress and presenting specific measures to prevent technostress. This offers a complementary view to technostress inhibitors by expanding the theoretical grounding and adding a time perspective through the implementation of primary, secondary, and tertiary prevention measures. For practice, we offer a comprehensive and applicable overview of measures organizations can implement to prevent technostress

    -์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ์ฐจ์ด๋ฅผ ์ค‘์‹ฌ์œผ๋กœ-

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ(๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌํ•™์ „๊ณต), 2022.2. ๊น€ํ™์ˆ˜.ํ˜„์žฌ ํ•œ๊ตญ์€ ๊ธฐ๋Œ€์ˆ˜๋ช… ์—ฐ์žฅ ๋ฐ ๋…ธ์ธ ์ธ๊ตฌ ์ฆ๊ฐ€๋กœ ์ธํ•œ ์ธ๊ตฌ ๊ณ ๋ นํ™”์™€ ์ •๋ณดํ†ต์‹ ๊ธฐ์ˆ (ICT)์˜ ๋ฐœ๋‹ฌ์— ๋”ฐ๋ฅธ ์ •๋ณดํ™”์˜ ์ง„์ „์œผ๋กœ ์ผ์ƒ์ƒํ™œ์˜ ๋””์ง€ํ„ธ ์ „ํ™˜์€ ๊ฐ€์†ํ™”๋  ๊ฒƒ์œผ๋กœ ์ „๋ง๋˜๊ณ ์žˆ์œผ๋ฉฐ, ๋””์ง€ํ„ธ ๊ธฐ๊ธฐ๊ฐ€ ๋…ธ๋…„๊ธฐ ์‚ถ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์ด ๊ฐˆ์ˆ˜๋ก ์ปค์ง€๊ณ  ์žˆ๋‹ค. ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ๊ธฐ๊ธฐ ์ด์šฉ์€ ๋…ธ๋…„๊ธฐ ์—ญํ•  ์ƒ์‹ค๊ณผ ์‚ฌํšŒ์  ๋‹จ์ ˆ ํ˜„์ƒ์— ํšจ๊ณผ์ ์œผ๋กœ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‚ถ์— ๋Œ€ํ•œ ์ง€์†์ ์ธ ์ฐธ์—ฌ๋ฅผ ํ†ตํ•ด ์„ฑ๊ณต์  ๋…ธํ™”์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ๊ธฐ๊ธฐ ์ด์šฉ์€ ์ œํ•œ์ ์ด๋‹ค. ์ด๋Š” ์„ฑ๋ณ„์— ๋”ฐ๋ผ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ง€์œ„๋ฅผ ๋‹ฌ๋ฆฌ ํ˜•์„ฑํ•ด์™”๋˜ ๋…ธ์ธ ์ง‘๋‹จ ๋‚ด์—์„œ ๊ธฐ๊ธฐ ์ ‘๊ทผ ๋ฐ ํ™œ์šฉ์ˆ˜์ค€์˜ ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๋ณด์ด๋ฉฐ, ๋””์ง€ํ„ธ ๊ฑด๊ฐ•์ž์› ๊ฒฉ์ฐจ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ๋‹ค. ์ตœ๊ทผ COVID-19๋กœ ์˜จ๋ผ์ธ ์„œ๋น„์Šค๊ฐ€ ์ผ์ƒํ™”๋˜๋ฉด์„œ ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ์ทจ์•ฝ์„ฑ์€ ๋”์šฑ ์•…ํ™”๋˜๊ณ  ์žˆ์ง€๋งŒ ์„ฑ๋ณ„์„ ๊ณ ๋ คํ•œ ๋…ธ์ธ์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ๊ณผ ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๋Š” ๋“œ๋ฌผ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋…ธ์ธ์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ์— ๋Œ€ํ•œ ์ ‘๊ทผ์ˆ˜์ค€, ์†Œ์…œ๋„คํŠธ์›Œํฌ ์„œ๋น„์Šค(Social Networking Service, ์ดํ•˜ SNS) ํ™œ์šฉ์ˆ˜์ค€, ์ •์‹ ๊ฑด๊ฐ•๊ณผ์˜ ๊ด€๊ณ„์— ๋Œ€ํ•˜์—ฌ ์„ฑ๋ณ„์— ์ฃผ๋ชฉํ•˜์—ฌ ์‚ดํŽด๋ณด๊ณ ์ž ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹จ๋ฉด ์—ฐ๊ตฌ๋กœ์„œ ์„œ์šธ์‹œ ์ผ๊ฐœ ์†Œ์ง€์—ญ์— ๊ฑฐ์ฃผํ•˜๋Š” 65์„ธ ์ด์ƒ ์ทจ์•ฝ๊ณ„์ธต ๋…ธ์ธ 1,225๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋…๋ฆฝ๋ณ€์ˆ˜์˜ ๊ฒฝ์šฐ ์ธ๊ตฌโˆ™์‚ฌํšŒ๊ฒฝ์ œ์ , ๊ฑด๊ฐ• ๊ด€๋ จ ์š”์ธ์œผ๋กœ ๊ตฌ์„ฑํ•˜์˜€์œผ๋ฉฐ, ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผ๊ณผ ํ™œ์šฉ์ˆ˜์ค€์€ ๊ฐ๊ฐ ์Šค๋งˆํŠธํฐ ๋ณด์œ  ์—ฌ๋ถ€์™€ SNS ๋ชจ์ž„ ๊ฐœ์ˆ˜ ๋ฐ ์ฐธ์—ฌ ๋นˆ๋„๋กœ, ์ •์‹ ๊ฑด๊ฐ•์€ ์™ธ๋กœ์›€๊ณผ ์ŠคํŠธ๋ ˆ์Šค๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. ํ†ต๊ณ„ ๋ถ„์„์€ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ๊ณผ ์ •์‹ ๊ฑด๊ฐ• ํ˜„ํ™ฉ์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๊ณ , ์ธ๊ตฌโˆ™์‚ฌํšŒ๊ฒฝ์ œ์  ๋ฐ ๊ฑด๊ฐ• ๊ด€๋ จ ์š”์ธ๊ณผ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ „์ฒด, ๋‚จ์„ฑ, ์—ฌ์„ฑ๋…ธ์ธ ์ง‘๋‹จ์— ๋Œ€ํ•˜์—ฌ ์ด๋ถ€๋ชจํ˜•์„ ์‚ฌ์šฉํ•˜์—ฌ ์‚ดํŽด๋ณด์•˜์œผ๋ฉฐ, ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€๊ณผ ์ •์‹ ๊ฑด๊ฐ•์˜ ๊ด€๊ณ„๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์ „์ฒด ๋…ธ์ธ์˜ ์Šค๋งˆํŠธํฐ ๋ณด์œ ์œจ์€ 76.2%์˜€์œผ๋ฉฐ ๋‚จ์„ฑ์ด 79.2%, ์—ฌ์„ฑ์ด 73.9%๋กœ ์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ์œ ์˜ํ•œ ์ ‘๊ทผ์ˆ˜์ค€ ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. SNS ํ™œ์šฉ์ˆ˜์ค€์—์„œ๋Š” ์ „์ฒด ๋…ธ์ธ์˜ ํ‰๊ท  SNS ๋ชจ์ž„ ๊ฐœ์ˆ˜๋Š” 0.67๊ฐœ, ์ผ์ฃผ์ผ๊ฐ„ ํ‰๊ท  SNS ์ฐธ์—ฌ ๋นˆ๋„๋Š” 1.03ํšŒ์˜€๋‹ค. ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ๊ด€๋ จ์š”์ธ ๋ถ„์„ ๊ฒฐ๊ณผ, ๋‚จ์„ฑ๊ณผ ์—ฌ์„ฑ๋…ธ์ธ ๋ชจ๋‘ ์Šค๋งˆํŠธํฐ ๋ณด์œ  ์—ฌ๋ถ€์™€ ์—ฐ๋ น, ๊ต์œก์ˆ˜์ค€, ์‚ฌํšŒํ™œ๋™ ์ฐธ์—ฌ์ˆ˜์ค€์ด ์œ ์˜ํ•œ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์ด์™ธ์—๋„ ๋‚จ์„ฑ๋…ธ์ธ์˜ ๊ฒฝ์šฐ ๊ฒฝ์ œํ™œ๋™ ์ฐธ์—ฌ ์—ฌ๋ถ€๊ฐ€, ์—ฌ์„ฑ๋…ธ์ธ์˜ ๊ฒฝ์šฐ ์†Œ๋“์ˆ˜์ค€, ๋งŒ์„ฑ์งˆํ™˜ ๊ฐœ์ˆ˜๊ฐ€ ๊ฐ๊ฐ ์œ ์˜ํ•œ ์˜ํ–ฅ์š”์ธ์ด์—ˆ๋‹ค. SNS ๋ชจ์ž„ ๊ฐœ์ˆ˜์˜ ๊ฒฝ์šฐ, ๋‚จ์„ฑ๊ณผ ์—ฌ์„ฑ๋…ธ์ธ ๋ชจ๋‘ ์‚ฌํšŒํ™œ๋™ ์ฐธ์—ฌ์ˆ˜์ค€๊ณผ ์œ ์˜ํ•œ ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ, ์ด์™ธ์—๋„ ์—ฌ์„ฑ๋…ธ์ธ์€ ์—ฐ๋ น, ํ˜ผ์ธ์ƒํƒœ, ๊ต์œกโˆ™์†Œ๋“์ˆ˜์ค€์ด ์œ ์˜ํ–ˆ๋‹ค. SNS ์ฐธ์—ฌ ๋นˆ๋„์˜ ๊ฒฝ์šฐ, ๋‚จ์„ฑ๋…ธ์ธ์€ ์—ฐ๋ น, ์‹ ์ฒดํ™œ๋™ ์ˆ˜์ค€์ด, ์—ฌ์„ฑ๋…ธ์ธ์€ ๊ต์œกโˆ™์†Œ๋“์ˆ˜์ค€, ๋งŒ์„ฑ์งˆํ™˜ ๊ฐœ์ˆ˜, ์‚ฌํšŒํ™œ๋™ ์ฐธ์—ฌ์ˆ˜์ค€์ด SNS ์ฐธ์—ฌ ๋นˆ๋„์™€ ์œ ์˜ํ•œ ์˜ํ–ฅ์š”์ธ์ด์—ˆ๋‹ค. ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€๊ณผ ์ •์‹ ๊ฑด๊ฐ•์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ์ŠคํŠธ๋ ˆ์Šค๋Š” ์—ฌ์„ฑ๋…ธ์ธ์— ํ•œํ•ด์„œ๋งŒ ์Šค๋งˆํŠธํฐ ๋ณด์œ ์™€ ์œ ์˜ํ•œ ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ์™ธ๋กœ์›€์˜ ๊ฒฝ์šฐ ๋‚จ์„ฑ๊ณผ ์—ฌ์„ฑ๋…ธ์ธ ๋ชจ๋‘ SNS ๋ชจ์ž„ ๊ฐœ์ˆ˜๊ฐ€ ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋‚˜ SNS ์ฐธ์—ฌ ๋นˆ๋„๋Š” ๋‚จ์„ฑ์— ํ•œํ•ด์„œ๋งŒ ์œ ์˜ํ•˜์˜€๋‹ค. ์ด์ƒ์˜ ๋ถ„์„์„ ํ†ตํ•ด ๋…ธ์ธ์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ทธ ์˜ํ–ฅ์š”์ธ, ๊ทธ๋ฆฌ๊ณ  ์ •์‹ ๊ฑด๊ฐ•๊ณผ์˜ ๊ด€๊ณ„๊นŒ์ง€ ์„ฑ๋ณ„์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด์— ๋…ธ์ธ ์ง‘๋‹จ ๋‚ด ๋‹ค์–‘์„ฑ, ํŠนํžˆ COVID-19 ์ƒํ™ฉ์—์„œ ๋”์šฑ ๋””์ง€ํ„ธ ์˜์—ญ์œผ๋กœ๋ถ€ํ„ฐ ์†Œ์™ธ๋  ์ˆ˜๋ฐ–์— ์—†๋Š” ์ทจ์•ฝ๊ณ„์ธต ๋…ธ์ธ์„ ๊ณ ๋ คํ•œ ๋””์ง€ํ„ธ์ •๋ณดํ™” ๊ฒฉ์ฐจ ํ•ด์†Œ ๋ฐฉ์•ˆ์˜ ํ•„์š”์„ฑ์— ๋Œ€ํ•ด ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•œํŽธ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ด์šฉ์€ ์™ธ๋กœ์›€๊ณผ ์ŠคํŠธ๋ ˆ์Šค์— ๋Œ€ํ•˜์—ฌ ์ƒ๋ฐ˜๋œ ์˜ํ–ฅ๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ๊ธฐ์ดˆ๋กœ ์ด์™€ ๊ด€๋ จํ•˜์—ฌ ํ›„์†์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์–ด ์ •๋ณดํ™” ์‹œ๋Œ€ ์† ๋…ธ์ธ์˜ ์ •์‹ ๊ฑด๊ฐ• ๋ฌธ์ œ์— ์ ์ ˆํžˆ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค.In Korea, the digital transformation of daily life is expected to accelerate due to the increase in life expectancy and the aging population and the development of information and communication technology (ICT). Accordingly, the influence of digital devices on life in old age is increasing. The elderlyโ€™s use of digital devices can effectively respond to role loss and social disconnection in old age and can contribute to successful aging through continuous participation in life. Nevertheless, the use of digital devices by the elderly is limited. It seems that there will be differences in the access and use level of devices in the elderly group, who have formed various socioeconomic status according to gender, which may lead to a gap in digital health resource. Although the digital vulnerability of the elderly is exacerbating as online services have become more daily due to COVID-19, there are few studies on access and use of smart devices by the elderly considering gender. This study aims to examine the relationship between elderlyโ€™s access level to smart devices, social networking service (SNS) usage level, and mental health, focusing on gender. As a cross-sectional study, this research performed analysis on 1,225 elders aged 65 and over from the vulnerable class living in a small area in Seoul. Independent variables composed of Demographic, socioeconomic, and health-related factors, and smart device access and usage levels were classified into smartphone possession and number and frequency of social media meetings, respectively, and mental health was classified into loneliness and stress. For statistical analysis, this study performed descriptive statistical analysis to understand the study subjects' access and use of smart devices and their mental health status. In addition, to verify the relationship between population, socioeconomic and health-related factors and the level of access and use of smart devices, this study examined all, male, and female elderly groups using the two-part model. Finally, multiple regression analysis was performed to verify the relationship between the level of access and use of smart devices and mental health. The results showed that 76.2% of all elderly owned a smartphone, with 79.2% for men and 73.9% for women, showing a significant difference in access level according to gender. In terms of SNS usage level, the average number of SNS meetings among the elderly was 0.67, and the average frequency of SNS participation per week was 1.03. The study analyzed the factors related to access and use of smart devices and confirmed that there was a significant relationship between smartphone possession, age, education, and social activity for both male and female elderly. In addition, participation in economic activity was a significant factor for male elderly, and income and the number of chronic diseases were significant factors for female elderly. As for the number of SNS meetings, both male and female elders had a significant relationship with the social activity, and age, marital status, and education/income were significant for female elders. As for the frequency of SNS participation, age and physical activity were significant factors for the male elderly, and education and income, number of chronic diseases, and social activity were significant factors for the female elderlyโ€™s SNS participation frequency. The study examined the relationship between access and use level of smart devices and mental health and verified that stress had a significant relationship with smartphone possession only in the female elders. While the number of SNS meetings had a significant effect on the loneliness of both male and female elderly, the frequency of SNS participation was significant only for males. The above analysis confirmed that there are differences in the relationship of not only the elderlyโ€™s access and use level but also their influence factors and mental health according to gender. Therefore, this study can provide a basis of the need for a solution to the digital gap considering the diversity within the elderly group, especially the vulnerable elderly who are further alienated from the digital realm in the era of COVID-19. On the other hand, the use of smart devices showed opposite effects on loneliness and stress. Based on this study, follow-up studies should be conducted to properly respond to mental health issues of the elderly in the information age.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  4 ์ œ 2 ์žฅ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 5 ์ œ 1 ์ ˆ ์ด๋ก ์  ํ‹€ 5 ์ œ 2 ์ ˆ ์ •๋ณดํ™”์™€ ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ์ฐธ์—ฌ 7 1. ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ์ฐธ์—ฌ 7 2. ๋…ธ์ธ์˜ ๋””์ง€ํ„ธ ๊ธฐ๊ธฐ ์ ‘๊ทผ ๋ฐ ํ™œ์šฉ ๊ด€๋ จ ์š”์ธ 9 ์ œ 3 ์ ˆ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ์™€ ๋…ธ๋…„๊ธฐ ์ •์‹ ๊ฑด๊ฐ• 13 1. ๋…ธ๋…„๊ธฐ ์™ธ๋กœ์›€๊ณผ ์ŠคํŠธ๋ ˆ์Šค 13 2. ๋…ธ์ธ์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ด์šฉ๊ณผ ์ •์‹ ๊ฑด๊ฐ• 14 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 18 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์ž๋ฃŒ 18 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ 18 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• 19 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ๋ณ€์ˆ˜ 20 ์ œ 5 ์ ˆ ๋ถ„์„๋ฐฉ๋ฒ• 24 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 25 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 25 1. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ธ๊ตฌโˆ™์‚ฌํšŒ๊ฒฝ์ œ์  ๋ฐ ๊ฑด๊ฐ• ๊ด€๋ จ ์š”์ธ ํŠน์„ฑ 25 2. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ์ˆ˜์ค€ 28 3. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ •์‹ ๊ฑด๊ฐ• ์ˆ˜์ค€ 29 ์ œ 2 ์ ˆ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ๊ด€๋ จ ์š”์ธ 30 1. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ๊ด€๋ จ ์š”์ธ(๋‹จ๋ณ€๋Ÿ‰) 30 2. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ๊ด€๋ จ ์š”์ธ(๋‹ค๋ณ€๋Ÿ‰) 36 1) ์ „์ฒด ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€ ๊ด€๋ จ ์š”์ธ 36 2) ๋‚จ์„ฑ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€ ๊ด€๋ จ ์š”์ธ 39 3) ์—ฌ์„ฑ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ์ˆ˜์ค€ ๊ด€๋ จ ์š”์ธ 41 ์ œ 3 ์ ˆ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผโˆ™ํ™œ์šฉ ์ˆ˜์ค€๊ณผ ์ •์‹ ๊ฑด๊ฐ•์˜ ๊ด€๊ณ„ 44 1. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ์ ‘๊ทผ์ˆ˜์ค€๊ณผ ์ •์‹ ๊ฑด๊ฐ• 44 2. ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์Šค๋งˆํŠธ๊ธฐ๊ธฐ ํ™œ์šฉ์ˆ˜์ค€๊ณผ ์ •์‹ ๊ฑด๊ฐ• 48 1) SNS ๋ชจ์ž„ ๊ฐœ์ˆ˜์™€ ์ŠคํŠธ๋ ˆ์Šค, ์™ธ๋กœ์›€๊ณผ์˜ ๊ด€๊ณ„ 48 2) SNS ์ฐธ์—ฌ ๋นˆ๋„์™€ ์ŠคํŠธ๋ ˆ์Šค, ์™ธ๋กœ์›€๊ณผ์˜ ๊ด€๊ณ„ 52 ์ œ 5 ์žฅ ๊ณ ์ฐฐ 56 ์ฐธ๊ณ ๋ฌธํ—Œ 65 Abstract 71์„

    The digital workplace and its dark side: An integrative review

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    An intensification of digital working driven by Covid-19 has brought into sharp focus both the beneficial nature of digital workplace technologies and their potential dark side. Research has burgeoned in this area in recent years, but an integrated view across fields, technologies, dark side effects and outcomes is lacking. There are potential insights to be gained from compiling and comparing results and theoretical approaches. Following integrative review procedures, 194 studies were analysed to understand unintended negative consequences of a range of workplace technologies across disciplines and methodologies. The results demonstrate that considerable insight has been uncovered regarding certain dark side effects, stress in particular, in relation to e-mail and smartphones. However, a broader view of how they might manifest in relation to employeesโ€™ holistic digital experience of work beyond certain information and communication technologies (ICTs) is lacking, including a clear picture of objective demands of the technology with which these effects are associated. Much remains to be understood across the full range of dark side effects in relation to the digital workplace including the associations between them and how they relate to cognitive and affective outcomes. The importance of both theoretical rigour and diversity is highlighted
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