Sleep and screen exposure across the beginning of life: deciphering the links using big-data analytics

SLEEP ◽  
2020 ◽  
Author(s):  
Michal Kahn ◽  
Natalie Barnett ◽  
Assaf Glazer ◽  
Michael Gradisar
Keyword(s):  
Big Data ◽  
Online Survey ◽  
Big Data Analytics ◽  
Distinct Pattern ◽  
Portable Devices ◽  
Cross Sectional ◽  
Daytime Sleep ◽  
Young Infants ◽  
Nighttime Sleep ◽  
The Relationship

Abstract Study Objectives Evidence for the association between screen time and insufficient sleep is bourgeoning, and recent findings suggest that these associations may be more pronounced in younger compared to older children, and for portable compared to non-portable devices. However, these effects have yet to be investigated within the beginning of life. Importantly, there are no data for the relationship between screen exposure and objectively measured infant sleep. This study examined the moderating role of age for both touchscreens’ and television’s relationship with sleep, using auto-videosomnography within a big-data sample of infants. Methods The sleep of 1074 infants (46% girls) aged 0–18 months was objectively assessed using computer-vision technology in this cross-sectional study. Sleep was additionally reported by parents in an online survey, as was infant exposure to screens. Results Age significantly moderated the relationship between daytime touchscreen exposure and sleep with a distinct pattern for younger infants, in which screen exposure was associated with decreased daytime sleep, but with a proposed compensatory increase in nighttime sleep consolidation. Compared to touchscreens, television exposure was less likely to be associated with sleep metrics, and age moderated this relationship only for daytime and 24-hour sleep duration. Conclusions In young infants, a daytime-nighttime sleep “trade-off” emerged, suggesting that the displacement of daytime sleep by screens may lead to greater accumulation of sleep homeostatic pressure, which in turn facilitates more consolidated nighttime sleep.

Quality dominant logic in big data analytics and firm performance

2019 ◽  
Vol 25 (3) ◽  
pp. 512-532 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter ◽  
Marc de Bourmont
Keyword(s):  
Big Data ◽  
Firm Performance ◽  
Data Analytics ◽  
Online Survey ◽  
Information Quality ◽  
Big Data Analytics ◽  
Firm Strategy ◽  
Theoretical Understanding ◽  
Content Type ◽  
The Relationship

Purpose Big data analytics (BDA) gets all the attention these days, but as important—and perhaps even more important—is big data analytics quality (BDAQ). Although many companies realize a full return from BDA, others clearly struggle. It appears that quality dynamics and their holistic impact on firm performance are unresolved in data economy. The purpose of this paper is to draw on the resource-based view and information systems quality to develop a BDAQ model and measure its impact on firm performance. Design/methodology/approach The study uses an online survey to collect data from 150 panel members in France from a leading market research firm. The participants in the study were business analysts and IT managers with analytics experience. Findings The study confirms that perceived technology, talent and information quality are significant determinants of BDAQ. It also identifies that alignment between analytics quality and firm strategy moderates the relationship between BDAQ and firm performance. Practical implications The findings inform practitioners that BDAQ is a hierarchical, multi-dimensional and context-specific model. Originality/value The study advances theoretical understanding of the relationship between BDAQ and firm performance under the influence of firm strategy alignment.

scholarly journals Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom

2021 ◽  
Author(s):  
Noor Al-Zubaidy ◽  
Roberto Fernandez Crespo ◽  
Sarah Jones ◽  
Reza Drikvandi ◽  
Lisa Gould ◽  
...  
Keyword(s):  
Big Data ◽  
Social Behaviour ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Regression Analyses ◽  
Cross Sectional ◽  
The United Kingdom ◽  
Surrogate Measure ◽  
The Uk ◽  
The Relationship

We evaluated the association between preventative social behaviour and government stringency. Additionally, we sought to evaluate the influence of additional factors including time, need to protect others (using the reported number of COVID-19 deaths as a surrogate measure) and reported confidence in government handling of the COVID-19 pandemic. We used repeated national cross-sectional surveys the UK over the course of 41 weeks from 1st April 2020 to January 28th, 2021, including a total of 38,092 participants. Preventative social behaviour and government stringency index scores were significantly associated on linear regression analyses (R2 =0.6468, p<0.001, and remained significant after controlling for the effect of reported COVID-19 deaths, confidence in government handling of the pandemic, and time (R2=0.898, p<0.001). Longitudinal data suggest that government stringency is an effective tool in promoting preventative social behaviour in the fight against COVID-19.  

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

scholarly journals Binge Drinking and Obesity-Related Eating: The Moderating Roles of the Eating Broadcast Viewing Experience among Korean Adults

2021 ◽  
Vol 18 (15) ◽  
pp. 8066
Author(s):  
Jiye Kim ◽  
Saegyeol Choi ◽  
Hyekyeong Kim ◽  
Soontae An
Keyword(s):  
Binge Drinking ◽  
Online Survey ◽  
Eating Behaviors ◽  
Inverse Association ◽  
Cross Sectional ◽  
Korean Adults ◽  
External Eating ◽  
Drinking Frequency ◽  
The Relationship ◽  
Viewing Experience

Recently, there has been a notable rise in binge drinking and in the popularity of eating broadcasts via TV and online platforms, especially in Korea. This study analyzed the moderating effect of the eating broadcast viewing experience on the relationship between binge drinking and obesity-related eating behaviors. Cross-sectional self-reported online survey data were collected from 1125 Korean adults. Moderation models for restrained, emotional, and external eating behaviors were tested using moderation analyses with Hayes’s PROCESS version 3.5 compatible with SPSS. As a result, the eating broadcast viewing experience moderated the relationship between binge drinking frequency and external eating (Fchange = 2.686, p = 0.045). More frequent binge drinking was associated with a higher level of external eating in participants who only watched online eating broadcasts, especially among women. Participants in their twenties showed the same above association; additionally, those who only watched TV eating broadcasts showed an inverse association, indicating that more frequent binge drinking was associated with a lower level of external eating. Consequently, an eating broadcast viewing experience was one of the environmental factors associated with binge drinking that influences obesity-related eating behaviors.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

scholarly journals Predeath Grief, Resourcefulness, and Perceived Stress Among Caregivers of Partners With Young-Onset Dementia

2018 ◽  
Vol 41 (7) ◽  
pp. 973-989 ◽  
Author(s):  
Karie Ruekert Kobiske ◽  
Abir K. Bekhet ◽  
Mauricio Garnier-Villarreal ◽  
Marilyn Frenn
Keyword(s):  
Perceived Stress ◽  
Online Survey ◽  
Theoretical Framework ◽  
Future Research ◽  
Resilience Theory ◽  
Moderating Effects ◽  
Cross Sectional ◽  
Young Onset ◽  
Young Onset Dementia ◽  
The Relationship

More than 200,000 Americans are currently diagnosed with young-onset dementia (YOD). YOD is dementia diagnosed prior to the age of 65. Most persons of YOD are cared for by their partners. Using the theoretical framework of Resilience Theory, this cross-sectional, correlational study examined the moderating effects of personal and social resourcefulness on the relationship between predeath grief and perceived stress among 104 YOD caregiving partners (life partners/spouses) using an online survey platform. Results indicated a large positive correlation between predeath grief and caregiver perceived stress ( r = .65; p < .001). Together predeath grief, personal resourcefulness and social resourcefulness explained 51.5% of the variance in perceived stress. Personal resourcefulness did not moderate the relationship. Social resourcefulness did positively moderate this relationship between predeath grief and perceived stress. These findings allow for a better understanding of the caregiving experience for a partner with YOD and creates opportunities for future research studies.

scholarly journals Psychological Capital and Family Satisfaction among Employees: Do Occupational Stressors Moderate the Relationship?

2021 ◽  
Vol 18 (22) ◽  
pp. 12260
Author(s):  
Oi-Ling Siu ◽  
Qianting Kong ◽  
Ting-Kin Ng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Psychological Capital ◽  
Positive Association ◽  
Family Satisfaction ◽  
Equation Modeling ◽  
Occupational Stressors ◽  
Cross Sectional ◽  
Personal Resource ◽  
The Relationship

The COVID-19 pandemic has created more occupational stressors, particularly work–family interface issues. The purpose of this study was to investigate the moderating role of occupational stressors in the relationship between a personal resource (psychological capital) and family satisfaction. A cross-sectional study was carried out with a sample of 787 employees (367 males, 420 females) from the Greater Bay Area of China between October and November 2020. Participants completed an online survey which included the Chinese version of the Psychological Capital Questionnaire, measures of occupational stressors from the Work Stress Management DIY Kit and a measure of family satisfaction. Latent moderated structural equation modeling revealed that family satisfaction was positively associated with psychological capital and negatively associated with occupational stressors. Furthermore, occupational stressors weakened the positive association between psychological capital and family satisfaction. These findings provided empirical evidence for the work–home resources model and may suggest that it would be beneficial to boost psychological capital and reduce occupational stressors of employees.

Drinking to Cope Motivations as a Mediator of the Relationship Between Sexual Coercion Victimization and Alcohol Use Among College Women: The Role of Depressive Symptoms

2018 ◽  
Vol 25 (6) ◽  
pp. 721-742 ◽  
Author(s):  
Sarah J. Ehlke ◽  
Michelle L. Kelley
Keyword(s):  
Depressive Symptoms ◽  
Alcohol Use ◽  
Sexual Coercion ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Drinking To Cope ◽  
Regulation Strategies ◽  
The Relationship

This cross-sectional study examined whether depressive symptoms strengthened the relationship between different forms of sexual coercion victimization and drinking to cope motivations, which was hypothesized to influence alcohol use. Participants were 214 female undergraduates who completed an online survey. Participants who experienced any lifetime sexual coercion and reported higher depressive symptoms were the most likely to report drinking to cope motivations, which in turn were associated with alcohol use. Depressive symptoms did not strengthen the relationship between specific forms of sexual coercion, drinking to cope, and alcohol use. Increasing emotion regulation strategies among sexual coercion victims may reduce drinking.

Multisensory experience for enhancing hotel guest experience

2019 ◽  
Vol 31 (11) ◽  
pp. 4313-4337 ◽  
Author(s):  
Minwoo Lee ◽  
Seonjeong (Ally) Lee ◽  
Yoon Koh
Keyword(s):  
Big Data ◽  
Customer Satisfaction ◽  
Business Intelligence ◽  
Critical Role ◽  
Big Data Analytics ◽  
Cognitive Effort ◽  
Content Type ◽  
The Relationship ◽  
Multisensory Experience

Purpose This study aims to investigate the effect of customers’ multisensory service experience on customer satisfaction with cognitive effort and affective evaluations using big data and business intelligence techniques. Design/methodology/approach Online customer reviews for all New York City hotels were collected from Tripadvisor.com and analyzed through business intelligence and big data analytics techniques including data mining, text analytics, sentiment analysis and regression analysis. Findings The current study identifies the relationship between affective evaluations (i.e. positive affect and negative affect) and customer satisfaction. Research findings also find the negative effect of reviewer’s cognitive effort on satisfaction rating. More importantly, this study demonstrates the moderating role of multisensory experience as an innovative marketing tool on the relationship between affect/cognitive evaluation and customer satisfaction in the hospitality setting. Originality/value This study is the first study to explore the critical role of sensory marketing on hotel guest experience in the context of hotel customer experience and service innovation, based on big data and business intelligence techniques.

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