Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile Methodology

被引:4
|
作者
Batra, Dinesh [1 ]
机构
[1] Florida Int Univ, Dept Informat Syst & Business Analyt, Miami, FL 33199 USA
关键词
Continuous Improvement; Coordination; Customer Collaboration; Incremental Development; Large-Scale Agile; Lean Development; Quantitative Method; Systems Approach; SOFTWARE-DEVELOPMENT; SUCCESS FACTORS; PROJECTS; SYSTEMS; DESIGN; SIZE;
D O I
10.4018/JDM.2020040104
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research note suggests five research challenges when conducting quantitative studies on large- scale agile methodology (LSAM). First, the LSAM empirical literature, which is mainly characterized by qualitative studies primarily focusing on coordination issues, provides limited background. Second, the notion of "large" in LSAM needs to be clarified because the existing research seems to have focused on "very large" or outlier projects. Third, the popular LSAM methods suggest broad and general maxims that may result in difficulty in operationalizing dependent variables, especially in innovation adoption studies. Fourth, the researcher may get overwhelmed when selecting independent variables from the plethora of suggested constructs. Finally, some of the problems associated with large-scale agile are mostly challenges of using conventional agile during a time-period when LSAM had not formally emerged. Researchers should take a balanced approach considering both benefits and challenges of using LSAM and focusing on project- level dependent measures such as success and acceptance.
引用
收藏
页码:64 / 73
页数:10
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