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MLA

Zhang, Chang, et al. "Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E-Commerce." IJEC vol.19, no.7 2023: pp.1-19. http://doi.org/10.4018/IJeC.316882

APA

Zhang, C., Liu, B., Mohammed, B. S., & Jumani, A. K. (2023). Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E-Commerce. International Journal of e-Collaboration (IJeC), 19(7), 1-19. http://doi.org/10.4018/IJeC.316882

Chicago

Zhang, Chang, et al. "Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E-Commerce," International Journal of e-Collaboration (IJeC) 19, no.7: 1-19. http://doi.org/10.4018/IJeC.316882

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Big Data Assisted Empirical Study for Business Value Identification Using Smart Technologies: An Empirical Study for Business Value Identification of Big Data Adaption in E-Commerce

International Journal of e-Collaboration (IJeC)

The International Journal of e-Collaboration (IJeC) addresses the design and implementation of e-collaboration technologies, assesses its behavioral impact on individuals and groups, and presents theoretical considerations on links between the use of e-collaboration technologies and behavioral patterns. An innovative collection of the latest research findings, this journal covers significant topics such as Web-based chat tools, Web-based asynchronous conferencing tools, e-mail, listservs, collaborative writing tools, group decision support systems, teleconferencing suites, workflow automation systems, and document management technologies.


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