Advances in Economics and Business Vol. 5(4), pp. 200 - 210
DOI: 10.13189/aeb.2017.050403
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Two-sided Absorptive Capacity: Customer Integration in Data-driven Environments

Diana Chernetska ^*
Faculty of Business Studies & Economics, University of Bremen, Germany

ABSTRACT

Companies are more and more turning to proactive customer integration and look for efficient ways of customer knowledge management. In case of online interaction, companies generate Big Data which holds the potential for the companies in terms of customer knowledge input. The potential of such data can be unfolded using advanced (predictive) analytics technologies. In order to ensure efficient customer integration in such settings, companies should be able to develop absorptive capacity. We assume that the nature of absorptive capacity in data-driven environments could be challenged, considering the intersection of business and technology perspectives. This study sets a foundation of understanding the peculiarities of absorptive capacity in data-driven environments by applying a qualitative case study approach. The study considers perspectives of both, service companies and analytics providers to avoid one-sided biases. The main result is an integration of empirical findings, their analysis against existing theoretical background and crystallization of a concept of 'two-sided absorptive capacity' which aims to explicate the role of analytics skills while building absorptive capacity in data-driven environments.

KEYWORDS
Absorptive Capacity, Customer Knowledge, Predictive Analytics, Big Data, Case Study

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Diana Chernetska , "Two-sided Absorptive Capacity: Customer Integration in Data-driven Environments," Advances in Economics and Business, Vol. 5, No. 4, pp. 200 - 210, 2017. DOI: 10.13189/aeb.2017.050403.

(b). APA Format:
Diana Chernetska (2017). Two-sided Absorptive Capacity: Customer Integration in Data-driven Environments. Advances in Economics and Business, 5(4), 200 - 210. DOI: 10.13189/aeb.2017.050403.