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系統識別號 U0026-0702201400405700
論文名稱(中文) 影響操作人員抗拒使用新型醫療診斷機台之因素—「動機-機會-能力」觀點
論文名稱(英文) Factors Affecting Operators’ Resistance to Use New Medical Diagnostic Instruments: A Motivation-Opportunity-Ability Perspective
校院名稱 成功大學
系所名稱(中) 國際經營管理研究所碩士在職專班
系所名稱(英) Institute of International Management (IIMBA--Master)(on the job class)
學年度 102
學期 1
出版年 103
研究生(中文) 陳雅婷
研究生(英文) Ivy Chen
學號 RA7004010
學位類別 碩士
語文別 英文
論文頁數 54頁
口試委員 指導教授-林豪傑
口試委員-鄭至甫
口試委員-陳浩政
中文關鍵字 動機-機會-能力  操作人員抗性  工作流程改善  自我改變意願  專業能力  廠商聲譽 
英文關鍵字 Motivation-Opportunity-Ability (MOA) model  User resistance  Workflow process improvement  Self-efficacy for change  Professional  Manufacture’s reputation 
學科別分類
中文摘要 過去文獻探討使用者抗性多採用「科技接受模式 (Technology Acceptance Model, TAM)」 且多限制於資訊業的研究。本研究主要透過「動機-機會-能力 (Motivation-Opportunity-Ability, MOA)」模型 與「信任理論 (trust theory)」去探討醫療業使用新型醫療診斷儀器操作者的抗性。更明確地說,本研究主要探討”市場趨勢”、”工作流程改善”與”自我改變意願”對使用者在面對單位內採用新型醫療診斷儀器時的抗性影響,並且探討”訓練講師專業度”與”廠商聲譽”是否對這些關係有干擾效果。本研究的問卷對象是醫院或大型醫事檢驗所的儀器操作人員,主要為醫檢師。透過問卷發放與線上填寫,總共取得384份有效問卷。統計分析結果顯示:市場趨勢、工作流程改善與自我改變意願三項變數對操作者面對使用新型醫療診斷儀器時的抗性,具有負向影響。即市場趨勢、工作流程改善與自我改變意願會降低操作人員抗性。與預期相反的是,訓練講師專業度與廠商聲譽無干擾效果,而是產生直接的負向影響,也就是說,訓練講師專業度與廠商聲譽可明顯降低操作人員抗性。本研究說明了使用者抗性不只可用TAM模式討論,也可根據新理論,如本研究提出的”動機-機會-能力”模型與”信任理論”,進行相關延伸。將使用者抗性的研究領域擴展到難以取得問卷的醫療產業,也提供後續研究從心理層面探討使用者抗性的新方向。本研究也討論了管理意涵與未來研究方向。
英文摘要 The issue of user resistance has received widely attention in the literature, which was typically analyzed with the Technology Acceptance Model (TAM) and examined in the high-technology industry. This study, conversely, examines users’ resistance toward new technology from the perspectives of Motivation-Opportunity-Ability (MOA) and Trust in the healthcare industry with the intent to complement for prior research. Specifically, the study explores, while facing new medical diagnostic instrument implementation, whether instrument operators’ resistance will be directly affected by trend of industry, workflow process improvement, and self-efficacy for change, through the moderation of trainers’ profession and manufacture’s reputation. By collecting data from 384 technologist working in the hospitals and laboratories, the results showed that trend of industry, workflow process improvement, and self-efficacy for change each exerts a directly negative effect on instrument operators’ resistance. Contrary to the prediction, trainers’ profession and manufacture’s reputation do not produce moderating effects; conversely, they exert directly negative effects. This research expanded the examination of the issue of user resistance by extending the theoretical foundation from prior TAM focus to the MOA and Trust perspectives. Managerial implications and future directions are thoroughly discussed as well.
論文目次 TABLE OF CONTENTS
ABSTRACT I
中文摘要 II
TABLE OF CONTENTS IV
LIST OF TABLES VII
LIST OF FIGURES VIII
CHAPTER ONE INTRODUCTION 1
1.1 Research Background..……………………………………………………….1
1.2 Research Objective and Contribution...............................................................2
1.3 Research Procedure...........................................................................................4
CHAPTER TWO LITERATURE REVIEW 6
2.1 Theoretical Background....................................................................................6
2.1.1 Motivation-Opportunity-Ability (MOA) Model…….………………….6
2.1.2 Trust Theory…………………………………………………………...8
2.2 Definition of Relevant Variables....................................................................10
2.2.1 Trend of Industry..................................................................................10
2.2.2 Workflow Process Improvement..........................................................10
2.2.3 Self-efficacy for Change.......................................................................11
2.2.4 Trainers’ Professional.........................................................................11
2.2.5 Manufacture’s Reputation....................................................................12
2.2.6 Instrument Operators’ Resistance.......................................................13
2.3 Development of Research Hypotheses……………………………………...14
2.3.1 Interrelationship between Trend of Industry and Instrument Operators’
Resistance……………………………………………………………..14
2.3.2 Interrelationship between Workflow Process Improvement and
Instrument Operators’ Resistance…………………………………….15
2.3.3 Interrelationship between Self-Efficacy for Change and Instrument
Operators’ Resistance………………………………………………...15
2.3.4 Trainers’ Professional as a Moderator……………………………...16
2.3.5 Manufacture’s Reputation as a Moderator…………………………..17
CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 19
3.1 Conceptual Model 19
3.2 Definition of Variables 19
3.3 Summary of Hypotheses. 20
3.4 Sampling Plan.. 21
3.5 Question Design and Construct Measurement.………………………..……22
3.5.1 Trend of Industry………………..……………………………………23
3.5.2 Workflow Process Improvement.........................................................23
3.5.3 Self-Efficacy for Change……………………………………………..24
3.5.4 Trainers’ Professional……………………………………………….25
3.5.5 Manufacture’s Reputation……………………………………………26
3.5.6 Instrument Operators’ Resistance…………………………………...27
3.6 Data Analysis Procedures…………………………………………………...27
3.6.1 Descriptive Statistic………………………………………………….27
3.6.2 Confirmatory Factor Analysis……………………………………….28
3.6.3 Reliability Test……………………………………………………….28
3.6.4 Pearson Correlation Analysis………………………………………..28
3.6.5 Hierarchical Multiple Regression…………………………………....28
CHAPTER FOUR RESEARCH RESULTS 30
4.1 Accessing Full Measurement Model………………………………………. 30
4.2 Mean, Standard Deviation, and Pearson Correlation………………………..34
4.3 Hierarchical Multiple Regression…………………………………………...37
CHAPTER FIVE CONCLUSION AND SUGGESTIONS 42
5.1 Discussions and Conclusion………………………………………………...42
5.1.1 Theoretical Implication………………………………………………42
5.1.2 Practical Implication………………………………………………...45
5.2 Limitation and Future Research……………………………………………..46
REFERENCES 48
APPENDICES 50



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