臺灣博碩士論文加值系統

繼企業E化之後，企業行動商務化（Mobile Business）成為提昇競爭力的新趨勢，國內企業與員工對行動應用的需求日益提昇。企業行動化也就是利用無線或行動通訊科技，使企業內外部成員得以突破地點和時間的限制，使用隨身的無線終端設備進行各種商業活動。因此，在此一趨勢之下，究竟有哪些因素對企業的採用行為有決定性的影響是十分值得探討的議題。
本研究以台灣地區電子業為研究對象，在歸納相關創新技術採用影響因素文獻後，從產業環境構面、組織構面及創新特性構面來探討企業採用行動化的決策因素，研究結果發現：
1.就採用狀況而言，合計約有五成的企業已經採用行動化，顯示企業對於行動化的導入已經有顯著的重視度。
2.已採用行動化的企業與未採用行動化的企業，共有五項因素看法有顯著差異，分別是「組織引進新科技的態度」、「產業運用資訊科技程度」、「新科技的相對效益」、「新科技的成熟度」及「新科技所帶來的負擔」。
3. 影響企業導入行動化的決策因素方面，組織特性中「組織引進新科技的態度」、創新特性中「新科技的相對效益」及「新科技所帶來的負擔」等三項因素在台灣地區電子業採用行動化的決策上有具有顯著的影響能力。
另外本研究亦針對資料分析的結果加以推論，並對企業以及行動化相關業者提出建議。

After the previous wave of implementing e-Business, utilizing Mobile Business has now become a new trend for enterprises to raise their competitiveness, which has led to the growing demand for mobile applications among enterprises and their employees. By making use of wireless and mobile communications technologies to transmit mobilized data from enterprise information system to various handheld platforms, members from inside and outside enterprise are able to exploit Wireless Terminal Devices to conduct business activities without the limitation of location and time. Thus, it is a worthy topic to probe what factor is crucial to affect the enterprise adoption behavior of M-Business.
The objective of this research is primary to discuss the decision-making factors that affect the enterprises to adopt M-Business, after compiling documents from the past concerning the innovative adoption of new technologies, and by basing on the electronic industry of Taiwan’s region as an example. This study inquires the affecting factors on adoption decisions from the following three dimensions: environment characteristics, organization characteristics, and innovation attributes. This study reveals that:
1. In regard to the mobilization of the enterprises, 51.5% of sample companies have adopted M-Business. The result demonstrates that enterprises have valued the importance of the mobilization widely.
2. There are five significant factors—“Organization's attitude about introducing new technology” ,” The level of implementation of IT in the industry”,” The relative advantage of new technology”,” Maturity level of new technology”, “The burden brought by new technology”.-- whether adopters and non-adopter have significant difference viewpoints about factors that affect adoption.
3. There are three factors--”Organization's attitude about introducing new technology “of Organization Characteristics, as well as “The relative advantage of new technology” and “The burden brought by new technology” of Innovation Attributes can significantly affect the adoption of M-Business in Taiwan’s electronic companies.
In addition, based on the result of data analysis, this study has proposed the following suggestions with regards to the enterprise and supplier of the mobilization Business.

TABLE OF CONTENTS
摘要 i
ABSTRACT ii
ACKNOWLEDGEMENTS iv
TABLE OF CONTENTS v
LIST OF FIGURES viii
LIST OF TABLES ix
CHAPTERⅠ INTRODUCTION 1
1.1 Research Background 1
1.2 Research Motivation 5
1.3 Research Objectives 7
1.4 Research Scope 7
1.5 Research Process 8
CHAPTER Ⅱ LITERATURE REVIEW 10
2.1 M-Business 10
2.1.1 Definition of M-Business 10
2.1.2 The Application Scope of M-Business 12
2.1.3 The Characteristics and Benefits of M-Business 23
2.2 Factors of Adopting Technological Innovation 29
2.2.1 Theories on Innovation Theory 29
2.2.2 Related Researches of the Factors Influencing Organizations in Adopting the Innovative Technology 36
2.2.3 Chapter Conclusion 45
CHAPTER Ⅲ RESEARCH METHOD 47
3.1 Research Justification 47
3.2 Research Framework 51
3.2.1 Organization Characteristics 52
3.2.2 Environment Characteristics 54
3.2.3 Innovation Attributes 56
3.3 Operational of Variables in this Study 57
3.4 Research Hypothesis 61
3.5 Research Design 61
3.5.1 Research Subjects and Sampling Technique 62
3.5.2 Process of Questionnaire Development 64
3.5.3 Questionnaire Design 64
3.6 Data Analysis 67
3.7 Reliability and Validity 68
3.7.1 Reliability 68
3.7.2 Validity 69
CHAPTER Ⅳ DATA ANALYSIS 71
4.1 Descriptive Statistics Analysis 71
4.1.1 Sample Information 71
4.1.2 Descriptive Statistics Analysis of Item 73
4.2 Factor Analysis 79
4.3 T test 84
4.4 Binary Logistic Regression Analysis 86
4.4.1 The Testing on the Variable’s Multicollinearity 87
4.4.2 Binary Logistic Regression Analysis 88
CHAPTER Ⅴ CONCLUSION AND SUGGESTIONS 92
5.1 Conclusion 92
5.2 Research Limitation 97
5.3 Research Suggestion 98
5.3.1 Suggestion for Practice 98
5.3.2 Suggestion to the Future Research 100
BIBLIOGRAPHY 102
APPENDIX A 108
APPENDIX B 110
APPENDIX C 113
VITA 115

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