Conservation of Procrastination

Kovacs, Geza; Gregory, Drew; Ma, Zhenqiang; Wu, Zhengxuan; Emami, Golrokh; Ray, Jacob G.; Bernstein, Michael S.

doi:10.1145/3290605.3300560

Cited by 21 publications

(14 citation statements)

References 48 publications

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“…This means that before the COVID-19 pandemic this is their perception about being a productive employee and an individual. Of course, the said result concurs with the ideas of Kovacs et al, (2019) where they introduced that work productivity behavior change systems help us decrease time on unproductive activities.…”

Section: Discussionsupporting

confidence: 77%

“…The result is somehow related to the findings of Kampelman et al ( 2018) where they stated that educational credentials have a greater impact on productivity which is more pronounced among younger workers and women. However, some studies argued with the current study like the perspective of Rombe (2016) where he found that time management has an inverse relationship with productivity in an organization and Kovacs et al, (2019) emphasized behavior change designers target individual productivity goals. Also, Adzovie et al (2017) showed that Facebook can also influence employee productivity.…”

Section: Discussionmentioning

confidence: 58%

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Determinants of work productivity among selected tertiary education employees: A PreCOVID-19 pandemic analysis

Asio¹

2021

IJODS

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The work productivity of an individual is an organizational asset that can be equated to progress and success. It provides satisfaction to the employees, the organization, and other stakeholders. This study assessed the work productivity among selected employees from a tertiary education institution before COVID-19 pandemic. To accomplish this task, a total of 70 individuals participated in the survey with the use of the convenience sampling technique. This descriptive research study used an adapted and modified questionnaire from Buuri ( 2015) as a research instrument. For the statistical analysis, the study used SPSS 20 to compute and analyze the data. Results showed that the respondents came from both the administrative and faculty offices which belong to the age bracket of 21-30 years old; dominated by males and were single with 1-5 years in service. Based on their response, the respondents "agree" that they were productive in their work before the COVID-19 pandemic. Also, there were significant differences found in the work productivity when grouped according to demographic profiles. Furthermore, all the demographic profiles yielded direct and indirect relationship with work productivity. Regression analysis provided evidence that the department and sex were significant determinants of work productivity among employees. Based on the results, the researcher provided implications pertinent to the institution.

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 58%

Determinants of work productivity among selected tertiary education employees: A PreCOVID-19 pandemic analysis

Asio¹

2021

IJODS

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“…Kovacs et al (2019) noted that sending nudges to individuals' devices reduced the time spent on targeted applications (e.g., Facebook). This is a noninvasive way of reminding employees to refrain from cyberloafing.…”

Section: Review Resultsmentioning

confidence: 99%

Cyberloafing: A review and research agenda

Lim

Teo

2022

Applied Psychology

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In an increasingly digitized world, the concept of cyberloafing has gained much attention as employees use the Internet for personal purposes during work hours. Over the last two decades, scholars have examined different aspects and types of cyberloafing in a variety of contexts, developed typologies to categorize them, and discussed the antecedents, consequences, and regulation of cyberloafing. Due to the growing interest in this topic, a comprehensive and updated review of existing literature is much needed. In this review, we examine research on cyberloafing at the workplace settings. We also developed and presented a research model that integrates existing studies and propose directions for future research.

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“…Participants in the notification condition made significantly shorter switches (M=4.76s, SD=1.65s) than those in the control condition (M=7.13s, SD=3.05), U(24, 23) = 406, p < .01, r =.44. The number of switches per trial was on average 10.6 in both conditions, and there was no significant difference in number of switches between conditions, U (24,23)=243, p = .60. As there were ten codes to be entered per trial, this suggests participants switched once for every piece of data entered.…”

Section: Number and Duration Of Switchesmentioning

confidence: 86%

“…Examples include tools such as FocusMe [41] and Freedom [42] which restrict access to Facebook or the internet. An interview study found that this F o r P e e r R e v i e w 2 restriction is viewed positively by people who find it difficult to self-regulate distractions [22,24,34]. However, many distracting sources such as communication tools cannot be blocked as they are needed for work.…”

Section: Introductionmentioning

confidence: 99%

TimeToFocus

Borghouts

Brumby

Cox

2020

ACM Trans. Comput.-Hum. Interact.

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Many computer tasks involve looking up information from different sources. Such interruptions to a task can be disruptive. In this paper, we investigate whether giving people feedback on how long they are away from their task influences their self-interruption behaviour. We conducted a contextual inquiry on self-interruption behaviour in an office workplace. Participants were observed to postpone physical interruptions until a convenient moment in the task if they were expected to take time. In contrast, observations revealed that digital interruptions were addressed immediately; participants reported these were presumed to be quick to deal with. To increase awareness of time spent on interruptions, we developed TimeToFocus, a notification tool showing people the duration of their interruptions. A field study deployment of TimeToFocus in an office workplace found that feedback on the duration of interruptions made participants reflect on what they were doing during interruptions. They reported that they used this insight to avoid task-irrelevant activities. To confirm whether participants' perceptions of the benefit of the tool could be measured, we conducted an online experiment, where participants had to retrieve information from an email sent to their personal email addresses and enter it into a spreadsheet. Participants who used our tool made shorter interruptions, completed the spreadsheet task faster, and made fewer data entry errors. We conclude that feedback on the length of interruptions can assist users in focusing on their primary task and thus improve productivity. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI.

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Conservation of Procrastination

Cited by 21 publications

References 48 publications

Determinants of work productivity among selected tertiary education employees: A PreCOVID-19 pandemic analysis

Determinants of work productivity among selected tertiary education employees: A PreCOVID-19 pandemic analysis

Cyberloafing: A review and research agenda

TimeToFocus

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