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An empirical investigation of the impact of marketing analytics capability on SME performance: a resource-based view approach

Kwabena Abrokwah-Larbi (Department of Marketing, Koforidua Technical University, Koforidua, Ghana)

Asia-Pacific Journal of Business Administration

ISSN: 1757-4323

Article publication date: 25 April 2024

142

Abstract

Purpose

The aim of this study is to empirically investigate the impact of marketing analytics capability on business performance from the perspective of RBV theory.

Design/methodology/approach

This study used a survey method to gather information from 225 food processing SMEs registered with the Ghana Enterprise Agency (GEA) in Ghana’s eastern region. A structural equation modeling (SEM) path analysis was used to assess the impact of marketing analytics capability (MAC) on the performance of SMEs.

Findings

The results of the study show that MAC significantly and positively affect the financial performance (FP), customer performance (CF), internal business process performance (IBPP) and learning and growth performance (LGP) of Ghanaian SMEs. The findings of this study also illustrated the significance of MAC determinants, including marketing analytics skills (MAS), data resource management (DRM) and data processing capabilities (DPC), in achieving SME success in Ghana.

Originality/value

The research’s conclusions give RBV theory strong credence. The results of this study also provide credence to previous research finding that SMEs should view MAC and its determinants (i.e. DRM, DPC, MAS) as a crucial strategic capability to improve their performance (i.e. FP, CF, IBPP, LGP). With regard to its contribution, this study broadens the body of knowledge on MAC and SME performance, particularly in the context of an emerging economy.

Keywords

Citation

Abrokwah-Larbi, K. (2024), "An empirical investigation of the impact of marketing analytics capability on SME performance: a resource-based view approach", Asia-Pacific Journal of Business Administration, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/APJBA-04-2023-0171

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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