Human factors associated with techno-eustress and techno-distress
Abstract
Digital stress, also known as technostress, has become a significant challenge for organizations undergoing digital transformation. A major concern relates to employees’ perceived physical and mental health in connection with the use of digital tools and software, as well as their level of digital competence. While negative technostress, i.e., distress has received considerable attention due to the increasing digital demands at work and during leisure time, the positive form, i.e., eustress has been mentioned far less frequently in previous studies. Moreover, the mechanisms underlying techno-eustress are not yet well understood and warrant investigation at the organizational level. This study aimed to identify the human factors associated with perceived techno-eustress and techno-distress. Specifically, it examined why some employees view digital tools and software positively, while others perceive them negatively. A large survey using modified versions of the Salanova’s and Tarafdar’s technostress instruments was conducted among public-sector organizations in Finland in spring 2025, yielding 607 responses. The data were analysed using SPSS-29, employing independent samples t-tests and Pearson correlation tests. The findings indicate that employees within the same population may experience eustress or distress depending on their digital competence, age, work tasks and attitudes towards artificial intelligence tools. Overall, the results suggest that organizations can develop digital strategies that emphasize human factors positively associated with techno-eustress.
Keywords: Technostress, Eustress, Digital Skills, Artificial Intelligence
DOI: 10.54941/ahfe1007593
Cite this paper
More from this volume
- Humans and Humanoids for Optimal Performance: Rethinking Work in the Age of Hybrid Intelligence
- The “As-If” Leadership Model: A Conceptualization and Scale Development Study
- The Mediating Role of Emotional Intelligence in the Relationship Between Light Triad Personality Traits and Entrepreneurial Tendency Among University Students
- Machine Learning and Data Mining Insights into Monthly Housing Price Dynamics in Connecticut, USA
- Construction of a Model for Estimating Sales Thinking Processes by Learning Tacit Knowledge
- A Collaborative KPI Framework for Evaluating a Digital Twin Demo Platform: Supporting Circular Economy Transformation in SMEs
- Integrating Predictive and Agile Approaches in University Aircraft Development Projects: A Hybrid Project Management Framework
- Strategic Personas at the Intersection of HCI and Marketing: A Framework Inspired by Virtual Chess Players
- When the Final Whistle Blows: Identity, Adaptability and Skill Transfer among Retired Team Sport Athletes
- Experiences from Team Sales Competitions
- Value based sales within B2B companies in Finland
- Negotiating Beyond Face-to-Face: Critical Challenges and Skill Requirements in Digital Buyer–Seller Interactions


AHFE Open Access