Publication Type
Book Chapter
Editor
Supervisor
Publication Year
2018
Journal
Book
Back to the Future: Using Marketing Basics to Provide Customer Value
Publication Volume
Publication Issue
Publication Begin page
141
Publication End page
142
Publication Number of pages
Collections
Abstract
Customer information plays a key role in managing successful relationships with valuable customers. Big data customer analytics use (BD use), i.e., the extent to which customer information derived from big data analytics guides marketing decisions, helps firms better meet customer needs for competitive advantage.This study addresses three research questions:What are the key antecedents of big data customer analytics use?How, and to what extent, does big data customer analytics use influence firm performance?Is competitive advantage, if any, achieved through big data customer analytics use contingent upon its prevalence within an industry?Drawing primarily from market information use theory, we advance a theoretical framework to examine how informational and organizational factors act to enhance big data customer analytics use, which in turn influences customer relationship and financial performance. More specifically, we identify and show how information quality (IQ), big data analytics culture, and customer orientation act as key antecedents of big data customer analytics use, which in turn is the critical mechanism to achieve superior CRM outcomes. Finally, we investigate whether the performance implications of big data customer analytics use vary depending on the prevalence of big data customer analytics use in the firm’s industry.Empirical findings from a survey of 301 senior marketing executives, representing large US-based firms in B2C industries, support our conceptualization of the performance outcomes and antecedents of BD use. First, the results highlight that the characteristics of the customer information (IQ) and the characteristics of the user organization (customer orientation and big data analytics culture) strongly predict BD use. The findings also reveal the relative importance of different customer information characteristics to marketing decision-makers. Second, the results confirm BD use as a key predictor of firm performance and, more specifically, that big data customer analytics use primarily influences financial performance indirectly via customer relationship performance. Third, this study suggests that the performance impacts of BD use are highly contingent on its prevalence among industry rivals.
Research Projects
Organizational Units
Journal Issue
Keywords
35 Commerce, Management, Tourism and Services, 3503 Business Systems In Context, 3506 Marketing, 3507 Strategy, Management and Organisational Behaviour, 46 Information and Computing Sciences, 4609 Information Systems, Data Science