大数据营销分析质量对营销能力的影响:感知市场绩效的影响!

IF 3.6 3区 管理学 Q2 BUSINESS
Matti Juhani Haverila, Kai Christian Haverila
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引用次数: 0

摘要

目的 大数据营销分析(BDMA)被认为是发展必要营销能力的关键因素。本研究旨在通过区分感知市场绩效低和感知市场绩效高的公司,调查 BDMA 的技术和信息质量对关键营销能力的影响。结果结果表明,信息和技术质量作为外生建构与营销策划、实施和客户关系管理(CRM)等营销能力的内生建构之间存在显著的正相关关系,且效应大小适中。在结构模型中,低感知市场绩效和高感知市场绩效的企业之间的路径系数存在差异。研究发现,在将低感知市场绩效和高感知市场绩效作为潜在异质性来源时,样本人群中存在异质性,如果不考虑异质性,其存在可能会对结果的有效性造成威胁。因此,本研究在以往研究的基础上考虑了这一问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of quality of big data marketing analytics on marketing capabilities: the impact of perceived market performance!

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.

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来源期刊
CiteScore
8.00
自引率
9.10%
发文量
64
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.
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