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== Research Library: K-O == | == Research Library: K-O == | ||
Peer-reviewed papers by first-author surname, K to O. Return to the [[Research Library]] index. | |||
=== Users of the world, unite! The challenges and opportunities of Social Media (2010) === | |||
Kaplan, Andreas M.; Haenlein, Michael | |||
Today, if an Internet user types the name of any leading brand into the Google search, what comes up among the top five results typically includes not only the corporate webpage, but also the corresponding entry in the online encyclopedia Wikipedia. [draft] | |||
Population: remote workers or employees. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Effects of a universal classroom behavior management program in first and second grades on young adult behavioral, psychiatric, and social outcomes- (2008) === | |||
Kellama, Sheppard G.; Brown, C. Hendricks; Poduska, Jeanne M.; Ialongo, Nicholas S.; Wang, Wei; Toyinbo, Peter; Petras, Hanno; Ford, Carla; Windhama, Amy; Wilcox, Holly C.. DOI [https://doi.org/10.1016/j.drugalcdep.2008 10.1016/j.drugalcdep.2008] | |||
Results: By young adulthood significant impact was found among males, particularly those in first grade who were more aggressive, disruptive, in reduced drug and alcohol abuse/dependence disorders, regular smoking, and antisocial personality disorder. [draft] | |||
Population: students/adolescents. | |||
Keywords: open-source. | |||
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== The dappled nature of causes of psychiatric illness: replacing the organic-functional/hardware-software dichotomy with empirically based pluralism (2012) === | |||
Kendler, KS. ''npg''. DOI [https://doi.org/10.1038/mp.2011.182 10.1038/mp.2011.182] | |||
These mutually re-enforcing dichotomies, which have had a pernicious influence on our field, make a clear prediction about how 'difference-makers' (aka causal risk factors) for psychiatric disorders should be distributed in nature. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: open-source. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified. | |||
=== Work-nonwork boundary management profiles: A person-centered approach (2012) === | |||
Kossek, Ellen Ernst; Ruderman, Marian N.; Braddy, Phillip W.; Hannum, Kelly M.. ''Journal of Vocational Behavior''. DOI [https://doi.org/10.1177/2041386611436264 10.1177/2041386611436264] | |||
We argue that research should be augmented with a person-centered approach, which examines how psychological measures are integrated into configurations. [draft] | |||
Population: students/adolescents. | |||
Keywords: remote-work, mental-health, work-life-balance, open-source, collaboration. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== A Social Technology That Reduces Social Involvement (1998) === | |||
Kraut, Robert; Patterson, Michael; Lundmark, Vicki; Kiesler, Sara; Mukopadhyay, Tridas; Scherlis, William. ''Internet Paradox'' | |||
This research examined the social and psychological impact of the Internet on 169 people in 73 households during their first 1 to 2 years on-line. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: mental-health, loneliness, isolation, wellbeing, collaboration. | |||
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Cobbler 2 Cobbler Peer Mentoring Program (2016) === | |||
leaders, Developing peer; prepare, energy to; program, prevention; them, trust. ''Research basis'' | |||
Developing peer leaders and creating a system of change is about putting in the time and energy to prepare and train a diverse group of students. [draft] | |||
Population: n=1900; software developers. | |||
Keywords: mental-health, isolation, open-source, suicide-prevention, social-support. | |||
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== An overview of systematic reviews on the public health consequences of social isolation and loneliness (2017) === | |||
Leigh-Hunt, N.; Bagguley, D.; Bash, K.; Turner, V.; Turnbull, S.; Valtorta, N.; Caan, W.. ''Available online at www.sciencedirect.com''. DOI [https://doi.org/10.1159/000441651 10.1159/000441651] | |||
Study design: A systematic review of systematic reviews (systematic overview) was undertaken to determine the wider consequences of social isolation and loneliness, identify any differences between the two, determine differences from findings of non-systematic reviews and to clarify the direction of causality. [draft] | |||
Population: remote workers or employees. | |||
Keywords: mental-health, loneliness, isolation, open-source, social-support. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== The paradox of employee psychological well-being practices: an integrative literature review and new directions for research (2009) === | |||
Loon, Mark; Otaye-Ebede, Lilian; Stewart, Jim. ''The International Journal of Human Resource Management''. DOI [https://doi.org/10.1080/09585192.2018.1479877 10.1080/09585192.2018.1479877] | |||
Traditionally, researchers have focused on three dimensions of employee wellbeing; physiological, psychological and social. [draft] | |||
Population: employees/workers. | |||
Keywords: mental-health, burnout, wellbeing, productivity, social-support. | |||
Evidence: moderate, review, review-scoping. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Organizational and occupational health issues with working remotely during the pandemic: a scoping review of remote work and health (2024) === | |||
Lyzwinski, Lynnette-Natalia. ''What is already known about the topic''. DOI [https://doi.org/10.1093/joccuh/uiae005 10.1093/joccuh/uiae005] | |||
The review focused on white-collar workers who undertook remote work during each of the lockdown waves from March 2020 to 2021. [draft] | |||
Population: n=3; remote workers. | |||
Keywords: remote-work, mental-health, loneliness, isolation, wellbeing. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods (2004) === | |||
MacKinnon, David P.; Lockwood, Chondra M.; Williams, Jason. ''Multivariate Behavioral Research''. DOI [https://doi.org/10.1207/s15327906mbr3901 10.1207/s15327906mbr3901] | |||
Lockwood, and Jason Williams Arizona State University The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: productivity. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Mindfulness at Work: Positive Affect, Hope, and Optimism Mediate the Relationship Between Dispositional Mindfulness, Work Engagement, and Well-Being (2015) === | |||
Malinowski, Peter; Lim, Hui Jia. DOI [https://doi.org/10.1016/j.jvb.2011.09.002 10.1016/j.jvb.2011.09.002] | |||
Recently, it has been suggested that higher levels of mindfulness may be beneficial in the workplace and first programs aiming to increase mindful awareness in occupational settings have been introduced. [draft] | |||
Population: employees/workers. | |||
Keywords: isolation, wellbeing, job-engagement, productivity, collaboration. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified. | |||
=== The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer (2004) === | |||
Management; Brunswick, New; Street, Washington; Newark; Jersey, New. ''Management Science'', 50(11), 1477-1490. DOI [https://doi.org/10.1287/mnsc.1030.0136 10.1287/mnsc.1030.0136] | |||
This article was downloaded by: [141.39.214.202] On: 12 March 2025, At: 19:36 Publisher: Institute for Operations Research and the Management Sciences (INFORMS) INFORMS is located in Maryland, USA Management Science Publication details, including instructions for authors and subscription information: Daniel Z. [draft] | |||
Population: students/adolescents. | |||
Keywords: productivity, open-source. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Relational-Cultural Theory: Fostering Healthy Coexistence Through a Relational Lens (2013) === | |||
March, Melissa McCauley. ''The Hyper-Polarization Challenge to the Conflict Resolution Field'' | |||
It examines the complexity of human relationships, using concepts of connection and disconnection, as well as recognizing and exploring the social implications of psychological theory. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: isolation, productivity, social-support. | |||
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Why Your ACEs Score Doesn't Mean As Much As You Might Think (2019) === | |||
March, Posted. DOI [https://doi.org/10.1001/jamapediatrics.2019.3007 10.1001/jamapediatrics.2019.3007] | |||
One of the most significant limitations of the ACEs study is its narrow focus on a specific set of ten adverse experiences. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: mental-health, wellbeing, open-source, social-support. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified. | |||
=== Systematically Reviewing Remote E-workers' Well-being at Work: (2018) === | |||
MBPsS, Maria Charalampous; BSc; author), MSc ( corresponding. DOI [https://doi.org/10.1080/1359432x.2018.1541886 10.1080/1359432x.2018.1541886] | |||
The criteria for qualitative evidence are concerned with relevant sources of data used, relevant process of analysing data, and consideration of the findings in relation to the context and researchers' influence. [draft] | |||
Population: n=215; employees/workers. | |||
Keywords: remote-work, isolation, wellbeing, work-life-balance, open-source. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== Factors that Affect Software Systems Development Project Outcomes: A Survey of Research (1996) === | |||
MCLEOD, LAURIE; MACDONELL, STEPHEN G.. DOI [https://doi.org/10.1145/1978802.1978803 10.1145/1978802.1978803] | |||
MACDONELL, Auckland University of Technology Determining the factors that have an influence on software systems development and deployment project outcomes has been the focus of extensive and ongoing research for more than 30 years. [draft] | |||
Population: software developers. | |||
Keywords: collaboration. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Construction of the Virtual Embodiment Questionnaire (VEQ) (2020) === | |||
Member, Daniel Roth; Member, IEEE Marc Erich Latoschik; IEEE. DOI [https://doi.org/10.1109/tvcg.2020.3023603 10.1109/tvcg.2020.3023603] | |||
We present the proposed scale and study results and discuss resulting implications. [draft] | |||
Population: n=196; remote workers, social connection, or SNH-relevant study participants. | |||
Keywords: open-source, collaboration. | |||
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Grounded Theory in Management Research (2025) === | |||
Methods, Product: Sage Research. ''Front Matter''. DOI [https://doi.org/10.4135/9780857024428 10.4135/9780857024428] | |||
Sage Research Methods For the most optimal reading experience we recommend using our website. https://methods.sagepub.com/book/mono/grounded-theory-in-managementresearch/toc Author: Karen Locke Pub. [draft] | |||
Population: students/adolescents. | |||
Keywords: open-source. | |||
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Coping With Stress and Burnout Associated With Telecommunication and Online Learning (2025) === | |||
Mheidly, Nour; Fares, Mohamad Y.; Fares, Jawad. DOI [https://doi.org/10.3389/fpubh.2020.574969/full 10.3389/fpubh.2020.574969/full] | |||
Public Health 8:574969. doi: 10.3389/fpubh.2020.574969 The COVID-19 pandemic substantially impacted the field of telecommunication. [draft] | |||
Population: students/adolescents. | |||
Keywords: remote-work, mental-health, burnout, wellbeing, collaboration. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified. | |||
=== Measuring Health-Related Productivity Loss (2011) === | |||
Mitchell, Rebecca J.; MPH; Bates, Paul. ''Methods'' | |||
Results were monetized and multiplied by the average number of employees with conditions or risks to illustrate the potential impact of productivity loss to employers. [draft] | |||
Population: employees/workers. | |||
Keywords: job-satisfaction, productivity, open-source. | |||
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Job stress and loneliness among remote workers (2019) === | |||
Miyake, Fuyu; Odgerel, Chimed-Ochir; Hino, Ayako; Ikegami, Kazunori; Nagata, Tomohisa. DOI [https://doi.org/10.1111/apps.12290 10.1111/apps.12290] | |||
Multiple - logistic regression was performed. - Results: Frequency of remote work was moderately associated with loneliness (adjusted odds - ratio [AOR] = 1.60, 95% confidence interval [CI]: 1.04-2.46, P = 0.033). [draft] | |||
Population: remote workers. | |||
Keywords: remote-work, mental-health, loneliness, isolation, open-source. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== The Job Demands-Resources model: state of the art (2007) === | |||
model, The Job Demands-Resources. ''Evangelia Demerouti''. DOI [https://doi.org/10.1108/02683940710733115 10.1108/02683940710733115] | |||
Findings - The paper provides an overview of the studies that have been conducted with the JD-R model. [draft] | |||
Population: employees/workers. | |||
Keywords: burnout, wellbeing, job-engagement, productivity, open-source. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Wellbeing Costs of Technology Use during Covid-19 Remote Working: An Investigation Using the Italian Translation of the Technostress Creators Scale (2020) === | |||
Molino, Monica; Ingusci, Emanuela; Signore, Fulvio; Manuti, Amelia; Giancaspro, Maria Luisa; Russo, Vincenzo; Zito, Margherita; Cortese, Claudio G.. DOI [https://doi.org/10.3390/su11113067 10.3390/su11113067] | |||
Results confirmed the three-factor structure of the Italian technostress creators scale and highlighted positive relationships between workload, techno-stressors, work-family conflict and behavioural stress. [draft] | |||
Population: n=878; remote workers. | |||
Keywords: remote-work, technostress, wellbeing, work-life-balance, productivity. | |||
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Fighting Loneliness on Remote Teams (2024) === | |||
Montañez, by Rachel. ''Journal of Organizational Effectiveness'' | |||
Remote Work by Rachel Montañez March 22, 2024 Jimena Roquero/Stocksy Summary. [draft] | |||
Population: employees/workers. | |||
Keywords: remote-work, loneliness, isolation, productivity, community-health. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Characterization of Home Working Population during COVID-19 Emergency: A Cross-Sectional Analysis (2020) === | |||
Moretti, Antimo; Menna, Fabrizio; Aulicino, Milena; Paoletta, Marco; Liguori, Sara; Iolascon, Giovanni. DOI [https://doi.org/10.1016/j.apergo.2009.09.008 10.1016/j.apergo.2009.09.008] | |||
The purpose of this cross-sectional study was to examine the impact of home working on perceived job productivity and satisfaction, work-related stress, and musculoskeletal (MSK) issues. [draft] | |||
Population: remote workers. | |||
Keywords: remote-work, mental-health, isolation, wellbeing, work-life-balance. | |||
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Depression, chronic diseases, and decrements in health: results from the World Health Surveys (2000) === | |||
Moussavi, Saba; Chatterji, Somnath; Verdes, Emese; Tandon, Ajay; Patel, Vikram; Ustun, Bedirhan. ''Summary'' | |||
Findings Observations were available for 245 404 participants from 60 countries in all regions of the world. [draft] | |||
Population: n=404; mental-health study participants or policy target population. | |||
Keywords: productivity, open-source. | |||
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Reducing Risks for Mental Disorders: Frontiers for Preventive Intervention Research (1994) (1994) === | |||
Mrazek, Patricia J.; Haggerty, Robert J.; Editors; Disorders, Committee on Prevention of Mental; Medicine, Institute of. DOI [https://doi.org/10.17226/2139 10.17226/2139] | |||
H ardly a family in America has been untouched by mental illness. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: mental-health, collaboration. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified. | |||
=== Design and Analysis of Group-Randomized Trials (2015) === | |||
Murray, David M.; Director, Ph.D. Associate Director for Prevention; Prevention, Office of Disease. ''Pragmatic vs Explanatory Trials'', 20(8), 637-648 | |||
Explanatory and pragmatic attitudes in therapeutical trials. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: collaboration. | |||
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== How many jobs can be done at home?☆ (2020) === | |||
Neiman, Brent. ''Journal of Public Economics''. DOI [https://doi.org/10.2139/ssrn.3572065 10.2139/ssrn.3572065] | |||
We classify the feasibility of working at home for all occupations and merge this classification with occupational employment counts. [draft] | |||
Population: n=26; employees/workers. | |||
Keywords: remote-work, open-source. | |||
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue (2021) === | |||
Nitschke, Jonas P.; Forbes, Paul A. G.; Ali, Nida; Cutler, Jo; Apps, Matthew A. J.; Lockwood, Patricia L.; Lamm, Claus. DOI [https://doi.org/10.1176/appi.ajp.160.2.221 10.1176/appi.ajp.160.2.221] | |||
This period was characterized by unprecedented physical distancing (often communicated as social distancing) measures resulting in significant changes to people's usual social lives. [draft] | |||
Population: n=902; research participants or target population described in the paper. | |||
Keywords: mental-health, loneliness, isolation, wellbeing. | |||
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations (1980) === | |||
not, This is; however; operations, research; analysis., plan of statistical. ''Reuben M. Baron and David A. Kenny University of Connecticut'' | |||
Kenny University of Connecticut In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. [draft] | |||
Population: research participants or target population described in the paper. | |||
Keywords: mental-health, open-source. | |||
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== Depression as a disease of modernity: explanations for increasing prevalence (2012) === | |||
Nutrition; Terr, W th; Westwood. ''Brandon H Hidaka, B.A. [MD/PhD Candidate]'', 140(3), 205–214. DOI [https://doi.org/10.1016/j.jad.2011.12.036 10.1016/j.jad.2011.12.036] | |||
While available data indicate rising prevalence and an increased lifetime risk for younger cohorts, strong conclusions cannot be drawn due to conflicting results and methodological flaws. [draft] | |||
Population: mental-health study participants or policy target population. | |||
Keywords: loneliness, isolation, wellbeing, open-source. | |||
Evidence: moderate, review, review-scoping. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== A cross-sectional investigation on remote working, loneliness, workplace isolation, well-being and perceived social support in healthcare workers (2024) === | |||
O'Hare, Dearbhla; Gaughran, Fiona; Stewart, Robert; Costa, Mariana Pinto da. DOI [https://doi.org/10.1192/bjo.2024.7 10.1192/bjo.2024.7] | |||
Results A total of 520 participants responded to the study, of whom 112 were men (21.5%) and 406 were women (78.1%), with an age range of 21-77 years (mean 40.0, s.d. = 12.1). [draft] | |||
Population: n=520; remote workers. | |||
Keywords: remote-work, mental-health, loneliness, isolation, wellbeing. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans (2012) === | === Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans (2012) === | ||
O'Malley, A. James; Arbesman, Samuel; Steiger, Darby Miller; Fowler, James H.; Christakis, Nicholas A.. ''PLoS ONE'', 7(5), e36250. DOI [https://doi.org/10.1371/journal.pone.0036250 10.1371/journal.pone.0036250] | O'Malley, A. James; Arbesman, Samuel; Steiger, Darby Miller; Fowler, James H.; Christakis, Nicholas A.. ''PLoS ONE'', 7(5), e36250. DOI [https://doi.org/10.1371/journal.pone.0036250 10.1371/journal.pone.0036250] | ||
This paper provides population-representative longitudinal data on how egocentric network structure relates to health and prosocial behaviour in American adults over three waves. | This paper provides population-representative longitudinal data on how egocentric network structure (degree, closeness, transitivity) relates to health and prosocial behaviour in American adults over three waves. For the SNHDB project it establishes quantified baseline rates of network change, documents the degree-closeness tradeoff (more contacts, weaker average ties), and identifies bidirectional links between network size and prosocial behaviour that are directly relevant to designing interventions aimed at improving social network health. [draft] | ||
Population: n=3232; Adults recruited from the web-based portion of the Gallup national probability panel. | Population: n=3232; Adults recruited from the web-based portion of the Gallup national probability panel. | ||
| Line 13: | Line 374: | ||
Evidence: moderate, empirical, longitudinal-panel. Risk of bias: medium. | Evidence: moderate, empirical, longitudinal-panel. Risk of bias: medium. | ||
=== A rapid review of mental and physical health effects of working at home: how do we optimise health? (2020) === | |||
Oakman, Jodi; Kinsman, Natasha; Stuckey, Rwth; Graham, Melissa; Weale, Victoria. ''BMC Public Health'', 20, 1825 | |||
Background: The coronavirus (COVID-19) pandemic has resulted in changes to the working arrangements of millions of employees who are now based at home and may continue to work at home, in some capacity, for the foreseeable future. [draft] | |||
Population: employees/workers. | |||
Keywords: remote-work, mental-health, wellbeing, work-life-balance, productivity. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded. | |||
=== A Systematic Review of Social Presence: Definition, Antecedents, and Implications (2018) === | |||
Oh, Catherine S.; Bailenson, Jeremy N.; Welch, Gregory F.. DOI [https://doi.org/10.3389/frobt.2018.00114/full 10.3389/frobt.2018.00114/full] | |||
This paper reviews the concept, antecedents, and implications of social presence, with a focus on the literature regarding the predictors of social presence. [draft] | |||
Population: remote workers, social connection, or SNH-relevant study participants. | |||
Keywords: collaboration. | |||
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified. | |||
=== Telecommuting, professional isolation, and employee development in public and private organizations (2002) === | |||
Organization; U.S.A.. DOI [https://doi.org/10.1002/job.145 10.1002/job.145] | |||
Estimates show that currently 16.5 million regularly employed Americans telework at least one day per month of their normal work schedule (International Telework Association, 2000). [draft] | |||
Population: employees/workers. | |||
Keywords: remote-work, isolation, open-source, collaboration. | |||
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
=== Covid-19, working from home and work-life boundaries: the role of personality in work-life boundary management (2024) === | |||
Oseghale, O. Raphael; Pepple, Dennis; Brookes, Michael; Lee, Alex; Alaka, Hafiz; Nyantakyiwaa, Akua; Mokhtar, Ajlaa. ''The International Journal of Human Resource Management''. DOI [https://doi.org/10.1080/09585192.2024.2422013 10.1080/09585192.2024.2422013] | |||
Our results suggest that mandatory WFH impacts academics differently depending on their personality, with academics high in conscientiousness and introversion (compared to their neurotic and extroverted colleagues) more suited to managing work and life domains to maintain a WLB while working from home. [draft] | |||
Population: employees/workers. | |||
Keywords: remote-work, work-life-balance, open-source. | |||
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified. | |||
Latest revision as of 16:47, 23 July 2026
Research Library: K-O
Peer-reviewed papers by first-author surname, K to O. Return to the Research Library index.
Users of the world, unite! The challenges and opportunities of Social Media (2010)
Kaplan, Andreas M.; Haenlein, Michael
Today, if an Internet user types the name of any leading brand into the Google search, what comes up among the top five results typically includes not only the corporate webpage, but also the corresponding entry in the online encyclopedia Wikipedia. [draft]
Population: remote workers or employees.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Effects of a universal classroom behavior management program in first and second grades on young adult behavioral, psychiatric, and social outcomes- (2008)
Kellama, Sheppard G.; Brown, C. Hendricks; Poduska, Jeanne M.; Ialongo, Nicholas S.; Wang, Wei; Toyinbo, Peter; Petras, Hanno; Ford, Carla; Windhama, Amy; Wilcox, Holly C.. DOI 10.1016/j.drugalcdep.2008
Results: By young adulthood significant impact was found among males, particularly those in first grade who were more aggressive, disruptive, in reduced drug and alcohol abuse/dependence disorders, regular smoking, and antisocial personality disorder. [draft]
Population: students/adolescents.
Keywords: open-source.
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
The dappled nature of causes of psychiatric illness: replacing the organic-functional/hardware-software dichotomy with empirically based pluralism (2012)
Kendler, KS. npg. DOI 10.1038/mp.2011.182
These mutually re-enforcing dichotomies, which have had a pernicious influence on our field, make a clear prediction about how 'difference-makers' (aka causal risk factors) for psychiatric disorders should be distributed in nature. [draft]
Population: mental-health study participants or policy target population.
Keywords: open-source.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified.
Work-nonwork boundary management profiles: A person-centered approach (2012)
Kossek, Ellen Ernst; Ruderman, Marian N.; Braddy, Phillip W.; Hannum, Kelly M.. Journal of Vocational Behavior. DOI 10.1177/2041386611436264
We argue that research should be augmented with a person-centered approach, which examines how psychological measures are integrated into configurations. [draft]
Population: students/adolescents.
Keywords: remote-work, mental-health, work-life-balance, open-source, collaboration.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
A Social Technology That Reduces Social Involvement (1998)
Kraut, Robert; Patterson, Michael; Lundmark, Vicki; Kiesler, Sara; Mukopadhyay, Tridas; Scherlis, William. Internet Paradox
This research examined the social and psychological impact of the Internet on 169 people in 73 households during their first 1 to 2 years on-line. [draft]
Population: mental-health study participants or policy target population.
Keywords: mental-health, loneliness, isolation, wellbeing, collaboration.
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Cobbler 2 Cobbler Peer Mentoring Program (2016)
leaders, Developing peer; prepare, energy to; program, prevention; them, trust. Research basis
Developing peer leaders and creating a system of change is about putting in the time and energy to prepare and train a diverse group of students. [draft]
Population: n=1900; software developers.
Keywords: mental-health, isolation, open-source, suicide-prevention, social-support.
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded.
An overview of systematic reviews on the public health consequences of social isolation and loneliness (2017)
Leigh-Hunt, N.; Bagguley, D.; Bash, K.; Turner, V.; Turnbull, S.; Valtorta, N.; Caan, W.. Available online at www.sciencedirect.com. DOI 10.1159/000441651
Study design: A systematic review of systematic reviews (systematic overview) was undertaken to determine the wider consequences of social isolation and loneliness, identify any differences between the two, determine differences from findings of non-systematic reviews and to clarify the direction of causality. [draft]
Population: remote workers or employees.
Keywords: mental-health, loneliness, isolation, open-source, social-support.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
The paradox of employee psychological well-being practices: an integrative literature review and new directions for research (2009)
Loon, Mark; Otaye-Ebede, Lilian; Stewart, Jim. The International Journal of Human Resource Management. DOI 10.1080/09585192.2018.1479877
Traditionally, researchers have focused on three dimensions of employee wellbeing; physiological, psychological and social. [draft]
Population: employees/workers.
Keywords: mental-health, burnout, wellbeing, productivity, social-support.
Evidence: moderate, review, review-scoping. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Organizational and occupational health issues with working remotely during the pandemic: a scoping review of remote work and health (2024)
Lyzwinski, Lynnette-Natalia. What is already known about the topic. DOI 10.1093/joccuh/uiae005
The review focused on white-collar workers who undertook remote work during each of the lockdown waves from March 2020 to 2021. [draft]
Population: n=3; remote workers.
Keywords: remote-work, mental-health, loneliness, isolation, wellbeing.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods (2004)
MacKinnon, David P.; Lockwood, Chondra M.; Williams, Jason. Multivariate Behavioral Research. DOI 10.1207/s15327906mbr3901
Lockwood, and Jason Williams Arizona State University The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. [draft]
Population: mental-health study participants or policy target population.
Keywords: productivity.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Mindfulness at Work: Positive Affect, Hope, and Optimism Mediate the Relationship Between Dispositional Mindfulness, Work Engagement, and Well-Being (2015)
Malinowski, Peter; Lim, Hui Jia. DOI 10.1016/j.jvb.2011.09.002
Recently, it has been suggested that higher levels of mindfulness may be beneficial in the workplace and first programs aiming to increase mindful awareness in occupational settings have been introduced. [draft]
Population: employees/workers.
Keywords: isolation, wellbeing, job-engagement, productivity, collaboration.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified.
The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer (2004)
Management; Brunswick, New; Street, Washington; Newark; Jersey, New. Management Science, 50(11), 1477-1490. DOI 10.1287/mnsc.1030.0136
This article was downloaded by: [141.39.214.202] On: 12 March 2025, At: 19:36 Publisher: Institute for Operations Research and the Management Sciences (INFORMS) INFORMS is located in Maryland, USA Management Science Publication details, including instructions for authors and subscription information: Daniel Z. [draft]
Population: students/adolescents.
Keywords: productivity, open-source.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Relational-Cultural Theory: Fostering Healthy Coexistence Through a Relational Lens (2013)
March, Melissa McCauley. The Hyper-Polarization Challenge to the Conflict Resolution Field
It examines the complexity of human relationships, using concepts of connection and disconnection, as well as recognizing and exploring the social implications of psychological theory. [draft]
Population: mental-health study participants or policy target population.
Keywords: isolation, productivity, social-support.
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Why Your ACEs Score Doesn't Mean As Much As You Might Think (2019)
March, Posted. DOI 10.1001/jamapediatrics.2019.3007
One of the most significant limitations of the ACEs study is its narrow focus on a specific set of ten adverse experiences. [draft]
Population: mental-health study participants or policy target population.
Keywords: mental-health, wellbeing, open-source, social-support.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified.
Systematically Reviewing Remote E-workers' Well-being at Work: (2018)
MBPsS, Maria Charalampous; BSc; author), MSc ( corresponding. DOI 10.1080/1359432x.2018.1541886
The criteria for qualitative evidence are concerned with relevant sources of data used, relevant process of analysing data, and consideration of the findings in relation to the context and researchers' influence. [draft]
Population: n=215; employees/workers.
Keywords: remote-work, isolation, wellbeing, work-life-balance, open-source.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
Factors that Affect Software Systems Development Project Outcomes: A Survey of Research (1996)
MCLEOD, LAURIE; MACDONELL, STEPHEN G.. DOI 10.1145/1978802.1978803
MACDONELL, Auckland University of Technology Determining the factors that have an influence on software systems development and deployment project outcomes has been the focus of extensive and ongoing research for more than 30 years. [draft]
Population: software developers.
Keywords: collaboration.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Construction of the Virtual Embodiment Questionnaire (VEQ) (2020)
Member, Daniel Roth; Member, IEEE Marc Erich Latoschik; IEEE. DOI 10.1109/tvcg.2020.3023603
We present the proposed scale and study results and discuss resulting implications. [draft]
Population: n=196; remote workers, social connection, or SNH-relevant study participants.
Keywords: open-source, collaboration.
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Grounded Theory in Management Research (2025)
Methods, Product: Sage Research. Front Matter. DOI 10.4135/9780857024428
Sage Research Methods For the most optimal reading experience we recommend using our website. https://methods.sagepub.com/book/mono/grounded-theory-in-managementresearch/toc Author: Karen Locke Pub. [draft]
Population: students/adolescents.
Keywords: open-source.
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Coping With Stress and Burnout Associated With Telecommunication and Online Learning (2025)
Mheidly, Nour; Fares, Mohamad Y.; Fares, Jawad. DOI 10.3389/fpubh.2020.574969/full
Public Health 8:574969. doi: 10.3389/fpubh.2020.574969 The COVID-19 pandemic substantially impacted the field of telecommunication. [draft]
Population: students/adolescents.
Keywords: remote-work, mental-health, burnout, wellbeing, collaboration.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified.
Measuring Health-Related Productivity Loss (2011)
Mitchell, Rebecca J.; MPH; Bates, Paul. Methods
Results were monetized and multiplied by the average number of employees with conditions or risks to illustrate the potential impact of productivity loss to employers. [draft]
Population: employees/workers.
Keywords: job-satisfaction, productivity, open-source.
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Job stress and loneliness among remote workers (2019)
Miyake, Fuyu; Odgerel, Chimed-Ochir; Hino, Ayako; Ikegami, Kazunori; Nagata, Tomohisa. DOI 10.1111/apps.12290
Multiple - logistic regression was performed. - Results: Frequency of remote work was moderately associated with loneliness (adjusted odds - ratio [AOR] = 1.60, 95% confidence interval [CI]: 1.04-2.46, P = 0.033). [draft]
Population: remote workers.
Keywords: remote-work, mental-health, loneliness, isolation, open-source.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
The Job Demands-Resources model: state of the art (2007)
model, The Job Demands-Resources. Evangelia Demerouti. DOI 10.1108/02683940710733115
Findings - The paper provides an overview of the studies that have been conducted with the JD-R model. [draft]
Population: employees/workers.
Keywords: burnout, wellbeing, job-engagement, productivity, open-source.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Wellbeing Costs of Technology Use during Covid-19 Remote Working: An Investigation Using the Italian Translation of the Technostress Creators Scale (2020)
Molino, Monica; Ingusci, Emanuela; Signore, Fulvio; Manuti, Amelia; Giancaspro, Maria Luisa; Russo, Vincenzo; Zito, Margherita; Cortese, Claudio G.. DOI 10.3390/su11113067
Results confirmed the three-factor structure of the Italian technostress creators scale and highlighted positive relationships between workload, techno-stressors, work-family conflict and behavioural stress. [draft]
Population: n=878; remote workers.
Keywords: remote-work, technostress, wellbeing, work-life-balance, productivity.
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Fighting Loneliness on Remote Teams (2024)
Montañez, by Rachel. Journal of Organizational Effectiveness
Remote Work by Rachel Montañez March 22, 2024 Jimena Roquero/Stocksy Summary. [draft]
Population: employees/workers.
Keywords: remote-work, loneliness, isolation, productivity, community-health.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Characterization of Home Working Population during COVID-19 Emergency: A Cross-Sectional Analysis (2020)
Moretti, Antimo; Menna, Fabrizio; Aulicino, Milena; Paoletta, Marco; Liguori, Sara; Iolascon, Giovanni. DOI 10.1016/j.apergo.2009.09.008
The purpose of this cross-sectional study was to examine the impact of home working on perceived job productivity and satisfaction, work-related stress, and musculoskeletal (MSK) issues. [draft]
Population: remote workers.
Keywords: remote-work, mental-health, isolation, wellbeing, work-life-balance.
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Depression, chronic diseases, and decrements in health: results from the World Health Surveys (2000)
Moussavi, Saba; Chatterji, Somnath; Verdes, Emese; Tandon, Ajay; Patel, Vikram; Ustun, Bedirhan. Summary
Findings Observations were available for 245 404 participants from 60 countries in all regions of the world. [draft]
Population: n=404; mental-health study participants or policy target population.
Keywords: productivity, open-source.
Evidence: moderate, empirical, longitudinal. Risk of bias: medium. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Reducing Risks for Mental Disorders: Frontiers for Preventive Intervention Research (1994) (1994)
Mrazek, Patricia J.; Haggerty, Robert J.; Editors; Disorders, Committee on Prevention of Mental; Medicine, Institute of. DOI 10.17226/2139
H ardly a family in America has been untouched by mental illness. [draft]
Population: mental-health study participants or policy target population.
Keywords: mental-health, collaboration.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified.
Design and Analysis of Group-Randomized Trials (2015)
Murray, David M.; Director, Ph.D. Associate Director for Prevention; Prevention, Office of Disease. Pragmatic vs Explanatory Trials, 20(8), 637-648
Explanatory and pragmatic attitudes in therapeutical trials. [draft]
Population: mental-health study participants or policy target population.
Keywords: collaboration.
Evidence: strong, empirical, rct. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded.
How many jobs can be done at home?☆ (2020)
Neiman, Brent. Journal of Public Economics. DOI 10.2139/ssrn.3572065
We classify the feasibility of working at home for all occupations and merge this classification with occupational employment counts. [draft]
Population: n=26; employees/workers.
Keywords: remote-work, open-source.
Evidence: weak, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Resilience during uncertainty? Greater social connectedness during COVID-19 lockdown is associated with reduced distress and fatigue (2021)
Nitschke, Jonas P.; Forbes, Paul A. G.; Ali, Nida; Cutler, Jo; Apps, Matthew A. J.; Lockwood, Patricia L.; Lamm, Claus. DOI 10.1176/appi.ajp.160.2.221
This period was characterized by unprecedented physical distancing (often communicated as social distancing) measures resulting in significant changes to people's usual social lives. [draft]
Population: n=902; research participants or target population described in the paper.
Keywords: mental-health, loneliness, isolation, wellbeing.
Evidence: moderate, empirical, cross-sectional. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations (1980)
not, This is; however; operations, research; analysis., plan of statistical. Reuben M. Baron and David A. Kenny University of Connecticut
Kenny University of Connecticut In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. [draft]
Population: research participants or target population described in the paper.
Keywords: mental-health, open-source.
Evidence: speculative, theory. Risk of bias: unclear. Flags: needs review: authors and venue not yet verified; no DOI recorded.
Depression as a disease of modernity: explanations for increasing prevalence (2012)
Nutrition; Terr, W th; Westwood. Brandon H Hidaka, B.A. [MD/PhD Candidate], 140(3), 205–214. DOI 10.1016/j.jad.2011.12.036
While available data indicate rising prevalence and an increased lifetime risk for younger cohorts, strong conclusions cannot be drawn due to conflicting results and methodological flaws. [draft]
Population: mental-health study participants or policy target population.
Keywords: loneliness, isolation, wellbeing, open-source.
Evidence: moderate, review, review-scoping. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
A cross-sectional investigation on remote working, loneliness, workplace isolation, well-being and perceived social support in healthcare workers (2024)
O'Hare, Dearbhla; Gaughran, Fiona; Stewart, Robert; Costa, Mariana Pinto da. DOI 10.1192/bjo.2024.7
Results A total of 520 participants responded to the study, of whom 112 were men (21.5%) and 406 were women (78.1%), with an age range of 21-77 years (mean 40.0, s.d. = 12.1). [draft]
Population: n=520; remote workers.
Keywords: remote-work, mental-health, loneliness, isolation, wellbeing.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans (2012)
O'Malley, A. James; Arbesman, Samuel; Steiger, Darby Miller; Fowler, James H.; Christakis, Nicholas A.. PLoS ONE, 7(5), e36250. DOI 10.1371/journal.pone.0036250
This paper provides population-representative longitudinal data on how egocentric network structure (degree, closeness, transitivity) relates to health and prosocial behaviour in American adults over three waves. For the SNHDB project it establishes quantified baseline rates of network change, documents the degree-closeness tradeoff (more contacts, weaker average ties), and identifies bidirectional links between network size and prosocial behaviour that are directly relevant to designing interventions aimed at improving social network health. [draft]
Population: n=3232; Adults recruited from the web-based portion of the Gallup national probability panel.
Keywords: egocentric-networks, social-network-structure, prosocial-behaviour, health-outcomes, tie-strength.
Evidence: moderate, empirical, longitudinal-panel. Risk of bias: medium.
A rapid review of mental and physical health effects of working at home: how do we optimise health? (2020)
Oakman, Jodi; Kinsman, Natasha; Stuckey, Rwth; Graham, Melissa; Weale, Victoria. BMC Public Health, 20, 1825
Background: The coronavirus (COVID-19) pandemic has resulted in changes to the working arrangements of millions of employees who are now based at home and may continue to work at home, in some capacity, for the foreseeable future. [draft]
Population: employees/workers.
Keywords: remote-work, mental-health, wellbeing, work-life-balance, productivity.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified; no DOI recorded.
A Systematic Review of Social Presence: Definition, Antecedents, and Implications (2018)
Oh, Catherine S.; Bailenson, Jeremy N.; Welch, Gregory F.. DOI 10.3389/frobt.2018.00114/full
This paper reviews the concept, antecedents, and implications of social presence, with a focus on the literature regarding the predictors of social presence. [draft]
Population: remote workers, social connection, or SNH-relevant study participants.
Keywords: collaboration.
Evidence: strong, review, review-systematic. Risk of bias: low. Flags: needs review: authors and venue not yet verified.
Telecommuting, professional isolation, and employee development in public and private organizations (2002)
Organization; U.S.A.. DOI 10.1002/job.145
Estimates show that currently 16.5 million regularly employed Americans telework at least one day per month of their normal work schedule (International Telework Association, 2000). [draft]
Population: employees/workers.
Keywords: remote-work, isolation, open-source, collaboration.
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.
Covid-19, working from home and work-life boundaries: the role of personality in work-life boundary management (2024)
Oseghale, O. Raphael; Pepple, Dennis; Brookes, Michael; Lee, Alex; Alaka, Hafiz; Nyantakyiwaa, Akua; Mokhtar, Ajlaa. The International Journal of Human Resource Management. DOI 10.1080/09585192.2024.2422013
Our results suggest that mandatory WFH impacts academics differently depending on their personality, with academics high in conscientiousness and introversion (compared to their neurotic and extroverted colleagues) more suited to managing work and life domains to maintain a WLB while working from home. [draft]
Population: employees/workers.
Keywords: remote-work, work-life-balance, open-source.
Evidence: weak, empirical, qualitative. Risk of bias: medium. Flags: needs review: authors and venue not yet verified.