2020
DOI: 10.1108/jkm-11-2019-0637
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Detecting customers knowledge from social media big data: toward an integrated methodological framework based on netnography and business analytics

Abstract: Purpose This paper aims to demonstrate how the integration of netnography and business analytics can support companies in the process of value creation from social big data by leveraging on customer relationship management and customer knowledge management (CKM). Design/methodology/approach This paper adopts the methodology of a single case study by using desk analysis, netnography and business analytics. The context of analysis has been identified into the case of Aurora Company, a well-known producer of fo… Show more

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Cited by 74 publications
(73 citation statements)
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References 62 publications
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“…The use of social media as a source of knowledge for CKM is still small; however, it is already a reality (Sedighi et al , 2012; Chaves et al , 2014; Pandey et al , 2014; Del Vecchio et al , 2018b, 2020) and is something that reinforces the correlation between CKM and STDs. Our review found that CKM is a widely discussed topic and several studies reinforce the importance of building conceptual CKM structures, as the number of structures that detail their processes, activities, methods, techniques, tools (MTFs) and actors involved is still low.…”
Section: Results From the Systematic Reviewmentioning
confidence: 99%
“…The use of social media as a source of knowledge for CKM is still small; however, it is already a reality (Sedighi et al , 2012; Chaves et al , 2014; Pandey et al , 2014; Del Vecchio et al , 2018b, 2020) and is something that reinforces the correlation between CKM and STDs. Our review found that CKM is a widely discussed topic and several studies reinforce the importance of building conceptual CKM structures, as the number of structures that detail their processes, activities, methods, techniques, tools (MTFs) and actors involved is still low.…”
Section: Results From the Systematic Reviewmentioning
confidence: 99%
“…In particular, the information translates into projects and initiatives, which, examined by a specific committee, become operational and effective, since they are the result of a shared project that takes into account the expectations of all potential internal and external stakeholders. This ability of knowledge acquisition, assimilation, transformation, and exploitation, which emerged from the analysis conducted, ensures that companies can reconfigure new operational capacities oriented towards superior performance [39,52,67]. The acquisition and management of information from the external environment, as well as the constant monitoring of the goals achieved, allow both definition of best practices oriented towards sustainability, and, at the same time, the satisfaction of the information needs for a rapidly growing but little-explored sector.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the very same Gebert et al (2003) influential model “knowledge for, from and about” is rarely to be found or implemented in relation to the analysis of customer experiences (Bratianu et al , 2020). In fact, being the research on CEK still in the beginning, the knowledge management field has called for more conceptual works that provide an expanded, comprehensive and systematic understanding of CEK, as well as frameworks, which might facilitate its extraction and formalization (Bratianu et al , 2020; Holmlund et al , 2020; del Vecchio et al , 2020; Chierici et al , 2019).…”
Section: Introductionmentioning
confidence: 99%
“…However, they cannot grasp the more in-depth, subjective and hedonic aspects of experiences which indeed lie on the basis of experiential knowledge (Thompson, 2019; Reid and Duffy, 2018). By contrast, qualitative approaches such as netnography, by addressing critical knowledge about more nuanced and emphatic understanding of consumption experiences, are considered as undisputed and powerful methods for a deeper understanding of customer experiences (del Vecchio et al , 2020; Cayla and Arnould, 2014).…”
Section: Introductionmentioning
confidence: 99%