The influence of quality of big data marketing analytics on marketing capabilities: the impact of perceived market performance!

被引:1
|
作者
Haverila, Matti Juhani [1 ]
Haverila, Kai Christian [2 ]
机构
[1] Thompson Rivers Univ, Dept Mkt, Kamloops, BC, Canada
[2] Concordia Univ, Dept Mkt, Montreal, PQ, Canada
关键词
Big data marketing analytics; Marketing capabilities; Resource-based theory (RBV); Static and dynamic capabilities; Technology quality; Information quality; INFORMATION-TECHNOLOGY CAPABILITY; RESOURCE-BASED VIEW; FIRM PERFORMANCE; PLS-SEM; BUSINESS VALUE; OPERATIONS CAPABILITY; EMPIRICAL-EVIDENCE; STRATEGY; ORIENTATION; MANAGEMENT;
D O I
10.1108/MIP-07-2023-0319
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeBig data marketing analytics (BDMA) has been discovered to be a key contributing factor to developing necessary marketing capabilities. This research aims to investigate the impact of the technology and information quality of BDMA on the critical marketing capabilities by differentiating between firms with low and high perceived market performance.Design/methodology/approachThe responses were collected from marketing professionals familiar with BDMA in North America (N = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).FindingsThe results indicated positive and significant relationships between the information and technology quality as exogenous constructs and the endogenous constructs of the marketing capabilities of marketing planning, implementation and customer relationship management (CRM) with mainly moderate effect sizes. Differences in the path coefficients in the structural model were detected between firms with low and high perceived market performance.Originality/valueThis research indicates the critical role of technology and information quality in developing marketing capabilities. The study discovered heterogeneity in the sample population when using the low and high perceived market performance as the source of potential heterogeneity, the presence of which would likely cause a threat to the validity of the results in case heterogeneity is not considered. Thus, this research builds on previous research by considering this issue.
引用
收藏
页码:346 / 372
页数:27
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