Parenting Journal · Work & family · Volume 1 · Issue 3

Kindness

Compassion, recovery, wellbeing and practical support for people who care for others.

20 articles · Page 1 of 1

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81

Vol. 1 · Issue 3 · Kindness · Employee questionnaire study

The Association between Artificial Intelligence Awareness and Employee Depression: The Mediating Role of Emotional Exhaustion and the Moderating Role of Perceived Organizational Support

How can employers take AI-related exhaustion seriously without blaming the worker?

Guanglu Xu; Ming Xue; Jidi Zhao · 2023-03-15 · International Journal of Environmental Research and Public Health

Adult workplace context; no child age range inferredCC BY 4.0Employees’ awareness of AI-related changes and organizational supportWorkplace evidence
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83

Vol. 1 · Issue 3 · Kindness · Factorial vignette experiment

Effects of Employee–Artificial Intelligence (AI) Collaboration on Counterproductive Work Behaviors (CWBs): Leader Emotional Support as a Moderator

How can leaders keep human connection alive when AI becomes a daily colleague?

Qingqi Meng; Tung-Ju Wu; Wenyan Duan; Shijia Li · 2025-05-17 · Behavioral Sciences

Adult workplace context; no child age range inferredCC BY 4.0Employee–AI collaboration scenarios and leader emotional supportWorkplace evidence
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84

Vol. 1 · Issue 3 · Kindness · Workplace email-campaign pilot study

Leveraging behavioral science and artificial intelligence to support mental health in the workplace: a pilot study

Can technology make it easier to ask for support without making people feel monitored?

Ashley B West; Yuzhen Valerie Guo; Amy Bucher · 2023-10-19 · Frontiers in Psychiatry

Adult workplace context; no child age range inferredCC BY (version not stated)Behavioral reinforcement-learning agent assembling employee-assistance outreachWorkplace evidence
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85

Vol. 1 · Issue 3 · Kindness · Three-wave time-lagged workforce survey

Navigating AI transitions: how coaching leadership buffers against job stress and protects employee physical health

What support should employees receive when AI change becomes a source of stress?

Jeeyoon Jeong; Byung-Jik Kim; Julak Lee · 2024-03-27 · Frontiers in Public Health

Adult workplace context; no child age range inferredCC BY (version not stated)Organizational AI adoption and coaching leadershipWorkplace evidence
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87

Vol. 1 · Issue 3 · Kindness · Scoping review of scientific and grey literature

Impact of artificial intelligence and work digitalization on mental health and occupational well-being: a scoping review

What should a workplace check before calling digital transformation good for wellbeing?

Óscar Rabasa-Martín; Begoña Martínez-Jarreta · 2026-06-01 · Frontiers in Public Health

Workplace literature or conceptual analysis; no single child age rangeCC BY 4.0AI, algorithmic management and broader workplace digitalization distinguished in the sourceWorkplace evidence
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88

Vol. 1 · Issue 3 · Kindness · Qualitative semi-structured interview study

Technostress and generative AI in the workplace: a qualitative analysis of young professionals

How can early-career employees talk openly about the strain of learning AI at work?

Malte Högemann; Laura Hein; Jan-Oliver Britsche; Oliver Thomas · 2025-12-12 · Frontiers in Artificial Intelligence

Adult workplace context; no child age range inferredCC BY 4.0Generative AI tools in professional work, including ChatGPTWorkplace evidence
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92

Vol. 1 · Issue 3 · Kindness · Cross-sectional frontline hotel-worker survey

When algorithms set the roster: algorithmic scheduling, work-time control, and work-related burnout among hotel employees

Does a smart roster make enough room for the people living around it?

Mingzhuo Wang; Puvaneswaran Kunasekaran · 2026-10-07 · Frontiers in Psychology

Adult workplace context; no child age range inferredCC BY 4.0Algorithmic hotel scheduling; no generative-AI claimWorking-family evidence
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94

Vol. 1 · Issue 3 · Kindness · Three-wave national workforce follow-up survey

Social comparison contributes to work exhaustion in the context of workplace AI use: A three-wave follow-up study of Finnish workers

Can comparing our AI skills with colleagues turn learning into exhaustion?

Iina Savolainen; Teijo Osma; Roope Grönroos; Moona Heiskari; Atte Oksanen · 2026-06-29 · SSM - Population Health

18–65 yearsCC BY 4.0Workplace AI use and perceived AI readiness among Finnish workersWorkplace evidence
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95

Vol. 1 · Issue 3 · Kindness · Employee questionnaire study

The impact of perceived algorithmic management on employees' physical and mental health: a chain mediation analysis of frustrated work autonomy and workplace AI replacement anxiety

What should change in the workplace when people feel controlled and replaceable?

Zheng Ma; Xingzi Chen; Binhua Jing · 2026-09-01 · Frontiers in Public Health

Adult workplace context; no child age range inferredCC BY 4.0Perceived algorithmic management and workplace AI-replacement anxietyWorkplace evidence
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96

Vol. 1 · Issue 3 · Kindness · Scholarly perspective and organizational analysis

Fixing Work, Not Workers: Leveraging Artificial Intelligence to Combat Burnout in Canadian Healthcare

Could AI help change exhausting work systems instead of asking workers to cope harder?

Taylor Martin; Robert Maunder; Gillian Strudwick · 2026-02-09 · Healthcare Management Forum

Adult workplace context; no child age range inferredCC BY 4.0Potential AI use for burnout measurement, workforce planning and workflow redesignWorkplace evidence
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97

Vol. 1 · Issue 3 · Kindness · Program-development and usability study

Meeting the Behavioral Health Needs of Health Care Workers During COVID-19 by Leveraging Chatbot Technology: Development and Usability Study

Can a chatbot open a door to human help when work becomes overwhelming?

Maga Jackson-Triche; Don Vetal; Eva-Marie Turner; Priya Dahiya; Christina Mangurian · 2023-06-08 · Journal of Medical Internet Research

Adult workplace context; no child age range inferredCC BY 4.0Workforce-support chatbot for triage, navigation and connection to live telehealth supportWorkplace evidence
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98

Vol. 1 · Issue 3 · Kindness · Pre-post observational service evaluation

AI-Enabled, Text-Based Health Coaching and Navigation for Employees to Support Health Outcomes: Pre-Post Observational Study

What evidence should an employer ask for before offering AI-assisted wellbeing coaching?

Paula Wilbourne; Susan Mirch-Kretschmann; Denise Walker; Michael Varghese; Roberto Arnetoli · 2025-09-30 · JMIR Formative Research

Adult workplace context; no child age range inferredCC BY 4.0AI-assisted, human-delivered text coaching; not autonomous psychotherapyWorkplace evidence
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99

Vol. 1 · Issue 3 · Kindness · Systematic review

Do occupational health and safety tools that utilize artificial intelligence have a measurable impact on worker injury or illness? Findings from a systematic review

Does a workplace AI safety tool improve health, or only predict risk?

Arif Jetha; Hela Bakhtari; Emma Irvin; Aviroop Biswas; Maxwell J. Smith; Cameron Mustard; Victoria H. Arrandale; Jack T. Dennerlein; Peter M. Smith · 2025-07-11 · Systematic Reviews

Workplace literature or conceptual analysis; no single child age rangeCC BY 4.0AI occupational-health-and-safety applications assessed for morbidity or mortality outcomesWorkplace evidence
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100

Vol. 1 · Issue 3 · Kindness · Systematic scoping review

Approaches for the Use of AI in Workplace Health Promotion and Prevention: Systematic Scoping Review

How can a workplace separate useful AI health support from an attractive promise?

Martin Lange; Alexandra Löwe; Ina Kayser; Andrea Schaller · 2024-08-20 · JMIR AI

Workplace literature or conceptual analysis; no single child age rangeCC BY 4.0AI algorithms and technologies used in workplace health promotion and preventionWorkplace evidence
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Study designs and age labels describe the source. Read each study’s findings and limitations before applying them to your family.