Big data-driven strategic orientation in international marketing

Shahriar Akter*, Md Afnan Hossain, Qiang (Steven) Lu, S. M. Riad Shams

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    55 Citations (Scopus)
    64 Downloads (Pure)

    Abstract

    Purpose: Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance. Design/methodology/approach: The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework. Findings: The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace. Research limitations/implications: The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review. Originality/value: The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

    Original languageEnglish
    Pages (from-to)927-947
    Number of pages21
    JournalInternational Marketing Review
    Volume38
    Issue number5
    Early online date19 May 2021
    DOIs
    Publication statusPublished - 7 Sept 2021

    Keywords

    • Big data
    • Data-driven
    • Data-evolving
    • International marketing
    • Strategic orientation
    • Systematic literature review

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