| Summary: | 碩士 === 國立政治大學 === 資訊管理研究所 === 98 === Awareness of agile system development methodologies (SDM) has grown among information systems development community in recent years. Many of their advocates consider the agile and the plan-driven SDMs polar opposites. Indeed there are circumstances where agile SDMs are more suitable than plan-driven SDMs. Yet, there have been few studies on understanding developers’ adoption intention. This paper takes an initial attempt to gauge new generation of software developers’ intention to select agile SDMs. To many of these developers, agile SDMs are relatively new if not unheard of, in order to assess their intention to choose such category of methodologies, this research first introduced the methodologies to a group of 21 IS-major graduate students and discussed how and when to use agile SDMs. Then a survey was conducted, which was comprised of two parts of questions: agile SDM self-efficacy and intention to use. PLS analysis results showed that agile SDM self-efficacy influence the intention to use through performance outcome expectation, personal outcome expectation, and affect. Although the relationship between self-efficacy and anxiety was not confirmed, anxiety does affect intention to use. The fact that direct relationships between all four emotive variables and the intention to use are established implies that in order to encourage the use of agile SDMs, the focus should be emotive variables, and that self efficacy may be just one of various ways to promote the favorable emotional states.
In addition, these participates were invited to a three-round Delphi test and analytic hierarchy process to retrieved their concerns about accepting or rejecting agile SDMs. Ten key factors were extracted and categorized. Adding up the pros and cons, team dimension is the most important dimension, which explains individual first concerns about how the collaboration when using agile SDMs. Other than team dimension, customer, corporate structure, project, success cases and methodology dimensions were consistent with the literatures. Thus our study provides a critical understanding of the factors that affect new generation of software developers’ intention to select agile SDM.
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