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

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

Dinesh Batra
Copyright: © 2020 |Volume: 31 |Issue: 2 |Pages: 10
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781799804703|DOI: 10.4018/JDM.2020040104
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MLA

Batra, Dinesh. "Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile Methodology." JDM vol.31, no.2 2020: pp.64-73. http://doi.org/10.4018/JDM.2020040104

APA

Batra, D. (2020). Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile Methodology. Journal of Database Management (JDM), 31(2), 64-73. http://doi.org/10.4018/JDM.2020040104

Chicago

Batra, Dinesh. "Research Challenges and Opportunities in Conducting Quantitative Studies on Large-Scale Agile Methodology," Journal of Database Management (JDM) 31, no.2: 64-73. http://doi.org/10.4018/JDM.2020040104

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Abstract

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.

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