Excessive use of Twitter among college students in the UK: Validation of the Microblog Excessive Use Scale and relationship to social interaction and loneliness

Ndasauka, Yamikani; Hou, Juan; Wang, Ying; Yang, Lizhuang; Yang, Zhiyu; Ye, Zi; Hao, Yaru; Fallgatter, Andreas J.; Kong, Yan; Zhang, Xiaochu

doi:10.1016/j.chb.2015.10.020

Cited by 55 publications

(53 citation statements)

References 44 publications

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“…Employees’ performance is the degree to which the employee performs his/her duties as described in job responsibilities (Mustapa & Mahmood, ). There are different factors which affect the employees’ performance including leadership style (LePine, Zhang, Crawford, & Rich, ), work environment (Jayaweera, ), job security (Wang, Lu, & Siu, ), knowledge sharing (Masa'deh, Obeidat, & Tarhini, ), and SNSs addiction (Ndasauka et al, ). However, most of the studies on employees’ performance focused on the positive impacts of different factors including SNSs on employees’ performance (see e.g., Sledgianowski and Kulviwat () and Junco () etc).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the effects of social networking sites addiction, task distraction, and self‐management on nurses' performance

Javed

Yasir

Majid

et al. 2019

Journal of Advanced Nursing

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Aims The purpose of this study was to explore the relationship of social networking sites (SNSs) addiction on nurses’ performance and how this relationship was mediated by task distraction and moderated by self‐management. Design This cross‐sectional study is designed to empirically test the relationship of SNSs addiction, task distraction, and self‐management with the nurses’ performance. Methods Data were collected by conducting an online survey on nurses across the world using a web‐based questionnaire developed through ‘Google Docs’ and distributed through Facebook from 13 August 2018 – 17 November 2018. The Facebook groups were searched using the selected key terms. In total, 45 groups were found to have relevance to this research; therefore, request was made to the admins of these groups to participate in this research and to post a link in their groups. Only 19 group admins responded positively by uploading a link of the research instrument on their respective group pages and 461 members of these groups participated in the research. Results Results of the data collected from 53 different countries indicated that SNSs addiction results in lowering the nurses’ performance. This relationship is further strengthened by task distraction introduced as a mediating variable. The results show that self‐management mediates the relationship between SNSs addiction and employees’ performance. Moreover, the results of the study confirm that self‐management reduces the negative impact of SNSs addiction on nurses’ performance. Conclusion Social networking sites (SNSs) addiction and task distraction reduce the nurses’ performance, whereas self‐management enhances nurses’ performance. Impact This study addresses the problem of using SNSs at the workplace and its potential effect on nurses’ performance. Results demonstrate that SNSs addiction reduces the performance which is further decreased by task distraction; however, self‐management of nurses can enhance the nurses’ performance. The research has numerous theoretical and practical implications for hospital administration, doctors, and nurses.

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Section: Introductionmentioning

confidence: 99%

Evaluating the effects of social networking sites addiction, task distraction, and self‐management on nurses' performance

Javed

Yasir

Majid

et al. 2019

Journal of Advanced Nursing

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“…Arpaci, 2016;Cyr & Bonanni, 2005;Ndasauka et al, 2016), our sample size is not small and it is also representative of the study population. Considering the same population, for example, Ndasauka et al (2016) surveyed 256 college students in the UK to analyze the effects of site stimuli on consumer behavior. Table 3 summarizes the demographic profiles of the participants in this study.…”

Section: Samplingmentioning

confidence: 99%

The effect of web advertising visual design on online purchase intention: An examination across gender

Shaouf

Lü

2016

Computers in Human Behavior

213

133

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With web advertising growing to be a huge industry, it is important to understand the effectiveness of web advertisement. In this study we investigate the effects of web advertising visual design (WAVD) purchasing intention within the framework of an integrated model. Nine hypotheses were developed and tested on a dataset of 316 observations collected via a questionnaire survey. The results of structural equation modeling (SEM) indicate that while web advertising visual cues influence consumers' purchasing intention through advertising attitudes and brand attitudes, they do not have direct effects on purchasing intention. Further results on the moderating role of gender suggest that web advertising visual cues have direct effect on consumers' purchasing intention for male groups but not for female groups. This study contributes to the understanding the role of visual dimensions in forming online purchase intentions.

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“…Whilst this study controlled for many confounders and moderators one of the few individual widespread exposures not able to be controlled for in this study was the use of screen-based technology (herein defined as device use). There is already an argument that the effect of loneliness is associated with both increased device use, and poorer sleep, as bored children turn to their device for companionship (Carter et al 2016;Lleras & Panova, 2016;Ndasauka et al 2016). Health consequence may follow in the extreme cases, as highlighted by Henry David Thoreau who wrote that the problems that arise when people become 'tools of their tools' and today many children are addicted to their device (Thoreau, 1864).…”

mentioning

confidence: 98%

“…The consequence of heavy usage has already been linked to loneliness (Cacioppo et al 2002) as well as a multitude of poorer health outcomes, including loss of sleep, and poorer physical and mental health (Gradisar et al 2013;Owens & Committee a ASWG, 2014). It has been reported that greater loneliness traits have been reported in those children with the greatest intensity of device usage (Ndasauka et al 2016). Recent evidence has pointed to device use (or merely access) being linked to poorer sleep quantity, and quality, even when the device are not being used, but were present in the bedroom.…”

mentioning

confidence: 99%

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Letter to the Editor: Is poor sleep, and loneliness linked by increased use of technology?

Carter

2017

Psychol. Med.

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Excessive use of Twitter among college students in the UK: Validation of the Microblog Excessive Use Scale and relationship to social interaction and loneliness

Cited by 55 publications

References 44 publications

Evaluating the effects of social networking sites addiction, task distraction, and self‐management on nurses' performance

Evaluating the effects of social networking sites addiction, task distraction, and self‐management on nurses' performance

The effect of web advertising visual design on online purchase intention: An examination across gender

Letter to the Editor: Is poor sleep, and loneliness linked by increased use of technology?

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