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研究生： 王博榕
Wang, Bo-Rong
論文名稱： Technostress and Coping Strategies in Hybrid Work: Moderating Effects of Technological Mindfulness on Job Performance
Technostress and Coping Strategies in Hybrid Work: Moderating Effects of Technological Mindfulness on Job Performance
指導教授： 林彣珊
Lin, Wen-Shan
學位類別： 碩士
Master
系所名稱： 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年： 2026
畢業學年度： 114
語文別： 英文
論文頁數： 115
中文關鍵詞： 科技壓力 、混合式工作 、工作績效 、PLS-SEM 、因應策略 、科技正念
外文關鍵詞： Technostress, PLS-SEM, Hybrid Work, Coping Strategies, Job Performance, Technological Mindfulness
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    • 本研究探討在混合式工作環境中，科技壓力與因應策略如何影響工作績效， 並特別關注科技正念的調節角色。研究以科技壓力理論與因應理論為基礎，建構包含科技特性、科技壓力、因應策略與工作績效之研究模型，並透過對混合式工作者的問卷資料進行實證檢驗。

    本研究採用偏最小平方法結構方程模型(PLS-SEM)並結合 bootstrapping 以檢驗直接效果、間接效果與交互作用效果。研究結果顯示，因應策略對工作績效具有顯著正向影響，而科技壓力則對工作績效產生顯著負向影響。科技正念對工作績效具有強烈的直接正向影響，且在科技壓力與工作績效之關係中發揮顯著調節效果。

    此外，條件式間接效果分析顯示，本研究存在調節式中介效果(moderated mediation):科技特性透過因應策略與科技壓力影響工作績效的間接效果，僅在科技正念處於中高水準時達顯著。整體而言，本研究深化了對混合式工作情境下科技相關壓力機制的理解，並提供提升員工工作績效之實務管理意涵。

    This study examines how technostress and coping strategies influence job performance in hybrid work environments, with a particular focus on the moderating role of technological mindfulness. Drawing on technostress and coping theories, a research model linking technology characteristics, technostress, coping strategies, and job performance was empirically tested using survey data from hybrid workers. Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping was employed to assess direct, indirect, and interaction effects. The results indicate that coping strategies positively affect job performance, whereas technostress has a significant negative impact. Technological mindfulness exhibits a strong direct effect on performance and significantly moderates the technostress–performance relationship. Conditional indirect effects further reveal a moderated mediation pattern, whereby the indirect effects of technology characteristics on job performance through coping strategies and technostress are significant only at moderate to high levels of technological mindfulness. The findings advance understanding of technology-related stress processes in hybrid work contexts and offer practical insights for enhancing employee performance.

    ABSTRACT I ACKNOWLEDGEMENTS III TABLE OF CONTENTS V LIST OF TABLES IX LIST OF FIGURES X CHAPTER ONE INTRODUCTION 1 1.1 Research Background. 1 1.2 Research Motivation. 3 1.3 Research Question and Objective. 4 1.3.1 Research Question. 4 1.3.2 Research Objective. 5 1.4 Research Process. 6 Figure 1-1. Research Process 7 CHAPTER TWO LITERATURE REVIEW 8 2.1 Hybrid Work. 8 Table 2-1 Related Literature of Hybrid Work 10 2.2 Technology Characteristics. 10 Table 2-2 12 Key Dimensions of Technology Characteristics and Related Factors 12 2.3 Technostress. 12 2.3.1 Definition for Technostress. 12 Table 2-3 Conceptual Evolution from General Stress to Technostress 13 2.3.2 Sources of Technostress. 13 Table 2-4 Primary Technostress Creators 14 2.3.3 Research on Technostress. 14 Table 2-5 Key Research Findings on Technostress 15 2.4 Coping Strategies. 15 2.4.1 Definition of Work Stress. 15 Table 2-6 Greenberg’s Five Primary Sources of Job Stress (Greenberg, 2012) 17 2.4.2 Coping Strategies for Work Stress. 19 Table 2-7 Related Literature of Coping Strategies 27 Table 2-8 Scholarly Definitions of Coping Strategies 33 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 35 3.1 Research Framework. 35 3.2 Hypothesis Development. 37 3.2.1 Technology Characteristics and Technostress. 37 3.2.2 Technology Characteristics and Coping Strategies. 38 3.2.3 Technological Mindfulness and Job Performance. 38 3.2.4 Technostress and Job Performance. 41 3.2.5 Coping Strategies and Job Performance. 42 3.3 Hypothesis Summary. 44 3.4 Research Method. 45 3.4.1 Research Participants. 45 3.4.2 Research Instruments. 46 3.4.3 Data Collection and Analysis. 49 CHAPTER FOUR RESEARCH RESULTS 51 4.1 Data Characteristics. 51 4.1.1 Frequency Distribution of Sample Characteristics. 51 Table 4-1 Demographic Characteristics 52 4.1.2 Descriptive Statistics of Research Variables. 53 Table 4-2 Reliability Analysis of Research Variables 55 4.2 Reliability and Validity Assessment. 55 4.2.1 Internal Consistency Reliability and Convergent Validity. 55 4.2.2 Discriminant Validity. 56 Table 4-3 Measurement Model: Cronbach’s α, Composite reliability, AVE, √AVE, Indicator, Loadings, CR, HTMT ranges 57 4.3 Model Explanatory Power. 59 Table 4-3 Coefficient of Determination (R²) 59 4.4 Effect Size Analysis (f²). 59 Table 4-4 Effect Size (f²) 60 4.5 Hypothesis Testing and Structural Path Analysis. 60 4.5.1 Direct Effects. 60 4.5.2 Indirect and Total Effects. 60 4.6 Summary of Findings. 61 Table 4-5 Concise Table of Direct, Indirect, and Total Effects 62 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 63 5.1 Research Discussion. 63 5.2 Theoretical Contributions. 65 5.3 Managerial Implications. 66 5.3.1 Improve Technological System Quality. 67 5.3.2 Strengthen Employee Coping Capability Through Training. 67 5.3.3 Promote Technological Mindfulness as a Performance Resource. 68 5.3.4 Monitor and Mitigate Technostress Proactively. 68 5.3.5 Tailor Management Practices to Hybrid Work Characteristics. 68 5.4 Suggestions for Future Research. 68 5.4.1 Expand Sample Diversity. 69 5.4.2 Differentiate Coping Types (Emotion-focused vs. Problem-focused). 69 5.4.3 Examine Longitudinal Effects. 70 5.4.4 Explore The Dual Nature of Technological Mindfulness. 70 5.4.5 Incorporate Organizational Resources into The JD-R Framework. 70 REFERENCES 72 APPENDIX A 76 1. Questionnaires. 76 2. Pre-test. 82

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