Cognitive computing on unstructured data for customer co-innovation
ISSN: 0309-0566
Article publication date: 19 December 2019
Issue publication date: 5 March 2020
Abstract
Purpose
This paper aims to build on the latest advances in cognitive computing techniques to systematically illustrate how unstructured data from users can offer significant value for co-innovation.
Design/methodology/approach
The paper adopts a general overview approach to understand how unstructured data from users can be analyzed with cognitive computing techniques for innovation. The paper links the computerized techniques with marketing innovation problems with an integrated framework using dynamic capabilities and complexity theory.
Findings
The paper identifies a suite of methodologies for facilitating company co-innovation via engaging with customers and external data with cognitive computing technologies. It helps to expand marketing researchers and practitioners’ understanding of using unstructured data.
Research limitations/implications
This paper provides a conceptual framework that divides co-innovation process into three stages, ideas generation, ideas integration and ideas evaluation, and maps cognitive computing methodologies and technologies to each stage. This paper makes the theoretical contributions by developing propositions from both customer and firm perspectives.
Practical implications
This paper can be used for companies to engage consumers and external data for co-innovation activities by strategically select appropriate cognitive computing techniques to analyze unstructured data for better insights.
Originality/value
Given the lack of systematic discussion regarding what is possible from using cognitive computing to analyze unstructured data for co-innovation. This paper makes first attempt to summarize how unstructured data can be analyzed with cognitive computing techniques. This paper also integrates complexity theory to the framework from a novel perspective.
Keywords
Acknowledgements
The authors acknowledge the financial supports from the National Natural Science Foundation of China (No. 71702052, No. 71772059) and Natural Science Foundation of Hunan Province in China (2018JJ3086).
Citation
Chen, S., Kang, J., Liu, S. and Sun, Y. (2020), "Cognitive computing on unstructured data for customer co-innovation", European Journal of Marketing, Vol. 54 No. 3, pp. 570-593. https://doi.org/10.1108/EJM-01-2019-0092
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited