 Ambiguity of network outcomesMatteo Cinelli Journal of Business Research, 2021, vol. 129, issue C, 555-561 Abstract: The extent to which available data is continuously growing in terms of volume is forcing organizations to contend with and seek to resolve the so-called Big Data Challenge. Big data comes or can be structured in the form of networks from which information can be extracted via statistical and computational tools. The results of such investigations can be generally referred to as network outcomes. Such outcomes, despite being often characterized by a inner ambiguity, need to be well understood and interpreted in order to exploit the potentialities of network data, especially in practical situations. For this reason, addressing the ambiguity of network outcomes becomes a key issue in business-related environments, where the possibility of rapidly interpreting and properly exploiting network data can positively affect performances. In this paper, we propose a framework to face ambiguity of network outcomes that, by means of specific solutions, allows practitioners to successfully interpret and exploit the obtained outcomes. Keywords: Ambiguity; Network management; Complexity; Analytics (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:129:y:2021:i:c:p:555-561 DOI: 10.1016/j.jbusres.2020.02.031 Access Statistics for this article Journal of Business Research is currently edited by A. G. Woodside More articles in Journal of Business Research from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.