Hamilton, John R., Holdsworth, Jason, Tee, SingWhat, and Alshomali, Mohammad Azeez (2017) Analysing big data projects using Github and JavaScript repositories. In: Proceedings of the 17th International Conference on Electronic Business. pp. 47-52. From: ICEB 2017: 17th International Conference on Electronic Business, 4-8 December 2017, Dubai, United Arab Emirates.

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Abstract

GitHub open source software developers remain in short supply. Successful GitHub projects offer multiple pathways for developers to contribute into their repositories. This study's GitHub JavaScript big data is path modelled to provide understanding of the different significant developer contribution pathways towards raising the project's activity level. Its significant pathways offer the project's creator benchmark decision making capabilities that can be used to trigger faster project software development through to its next completion point. This approach has behavioral consumptive-value connotations that may provide a future pathway towards tapping big data sources and to also delivering real business values.

Item ID:	53626
Item Type:	Conference Item (Research - E1)
ISSN:	1683-0040
Keywords:	open source software (OSS), GitHub software development, popularity, activity level, value, consumption
Date Deposited:	14 May 2018 01:37
FoR Codes:	35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3507 Strategy, management and organisational behaviour > 350705 Innovation management @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460999 Information systems not elsewhere classified @ 50%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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