Titlebook: Design Science Methodology for Information Systems and Software Engineering; Roel J. Wieringa Textbook 2014 Springer-Verlag Berlin Heidelb

ODDS

書目名稱Design Science Methodology for Information Systems and Software Engineering影響因子(影響力)




書目名稱Design Science Methodology for Information Systems and Software Engineering影響因子(影響力)學(xué)科排名




書目名稱Design Science Methodology for Information Systems and Software Engineering網(wǎng)絡(luò)公開度




書目名稱Design Science Methodology for Information Systems and Software Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Design Science Methodology for Information Systems and Software Engineering被引頻次




書目名稱Design Science Methodology for Information Systems and Software Engineering被引頻次學(xué)科排名




書目名稱Design Science Methodology for Information Systems and Software Engineering年度引用




書目名稱Design Science Methodology for Information Systems and Software Engineering年度引用學(xué)科排名




書目名稱Design Science Methodology for Information Systems and Software Engineering讀者反饋




書目名稱Design Science Methodology for Information Systems and Software Engineering讀者反饋學(xué)科排名

向下五度才偏

Research Goals and Research Questionsting, its research goal can be refined into design goals and knowledge goals. We give a template for design problems in Sect.?2.2 and a classification of different kinds of knowledge goals in Sect.?2.3.

extrovert

The Design Cycleroblem investigation, treatment design, and treatment validation. We call this set of three tasks the design cycle, because researchers iterate over these tasks many times in a design science research project.

Vital-Signs

Stakeholder and Goal Analysischapter, we discuss goals. In utility-driven projects, there are stakeholders who have goals that the research project must contribute to. In exploratory projects, potential stakeholders may not know that they are potential stakeholders, and it may not be clear what their goals are. Nevertheless, or

充滿裝飾

Requirements Specificationtheless pays off to spend some time on thinking about the desired properties of a treatment before designing one. The requirements that we specify provide useful guidelines for searching possible treatments.

顯而易見

顯而易見

天然熱噴泉

使絕緣

Descriptive Inference Design.), and quantitative data can be summarized in descriptive statistics (Sect.?.). The descriptions produced this way are to be treated as ., and so ideally there should not be any amplification in descriptive inference. But in practice there may be, and descriptive validity requires that any addition

dermatomyositis

Statistical Inference Designcal inference, your conceptual research framework should define the relevant statistical structures, namely, a population and one or more random variables (Chap.?., Conceptual Frameworks). The probability distributions of the variables over the population are usually unknown. This chapter is require