{"title":"The influence of quality of big data marketing analytics on marketing capabilities: the impact of perceived market performance!","authors":"Matti Juhani Haverila, Kai Christian Haverila","doi":"10.1108/mip-07-2023-0319","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Big 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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The responses were collected from marketing professionals familiar with BDMA in North America (<em>N</em> = 236). The analysis was done with partial least squares-structural equation modelling (PLS-SEM).</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The 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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This 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.</p><!--/ Abstract__block -->","PeriodicalId":48048,"journal":{"name":"Marketing Intelligence & Planning","volume":"34 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marketing Intelligence & Planning","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/mip-07-2023-0319","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
Big 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/approach
The 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).
Findings
The 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/value
This 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.
期刊介绍:
Marketing Intelligence & Planning (MIP) facilitates communication between researchers and practitioners, providing the users of research with a wealth of robust and relevant information. At a time when some journals are losing their relevance to industry and practical requirements, MIP successfully offers a bridge between academic and practitioner thinking, while retaining a high level of scientific rigour.