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Potential lessons from Chinese businesses and platforms for online networking and marketing

An exploratory study

Bibliographic Data

ID22204302
AuthorsLingjun Zhang (0000-0001-7549-3813, Eastern Institute of Technology), Emre Ertürk (0000-0002-6191-4493, Eastern Institute of Technology, corresponding author)
Year2022
Volume6
Issue1
Pages100274
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Sciences & Humanities Open (JOURNAL)
Journal identifiersISSN: 2590-2911 • E-ISSN: 2590-2911
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ssaho.2022.100274
OpenAlexW4226185551
LanguageEN
Citations received4
References cited47

This study aims to investigate the potential for improving New Zealand small-and-medium sized enterprises’ (SMEs) digital marketing strategies by learning the different approaches from their Chinese counterparts. Digital marketing is an important topic, especially after the pandemic of the last two years, as online shopping has gained further ground. On the other hand, original digital marketing practices in a dynamic and large market such as China still has not received enough attention within academic literature. Therefore, this study is seeking to answer the following two research questions: 1) How are SMEs in China adopting digital marketing strategies and platforms? 2) Can local SMEs learn from Chinese SMEs’ adoption of digital marketing for SMEs in New Zealand? Survey and semi-structured interviews were conducted with Chinese participants to gain insights of digital marketing applications by Chinese SMEs. After acquiring data from Chinese participants and building the framework of online marketing strategies and platforms in China based on data analysis, semi-structured interview questions were designed and conducted with New Zealand experts. Findings from this study reveals that Chinese SMEs increase their online customer traffic through three main sources: e-commerce platform, social media, and private traffic, which is a controllable traffic pool of loyal customers or the brands’ social media followers. In addition, digital marketing technologies from China have the potential of being transferred to New Zealand. However, the process can be long-term, due to cultural and attitude barriers. This study also suggests a tentative model examining the likelihood of transferring (LOT) based on the Technology Acceptance Model (TAM)

Business · Exploratory research · Sociology · Digital Marketing and Social Media · Sharing Economy and Platforms · Technology Adoption and User Behaviour · Marketing

  • How to Take Advantage of Live Streaming to Enhance Consumers' Impulsive Purchasing Behavior

    Open Access•p>Liu Lin</p•Academic Journal of Humanities &…•2023

  • B2B e-commerce adoption and its effect on SMEs’ brand equity

    Open Access•Elikem Chosniel Ocloo, Re-an Müller et al.•Social Sciences & Humanities Open•2025

  • Short videos on Douyin

    Open Access•Jock McQueenie, Marcus Foth et al.•Social Sciences & Humanities Open•2024

  • Exploring Xiaohongshu’s role in business promotion among new Chinese migrant enterprises

    Open Access•Songming Yang•Asian journal of social science•2025

  • Qualitative interviewing

    Herbert J Rubin, Irene S Rubin•Qualitative interviewing•1995

  • User Acceptance of Computer Technology

    Open Access•Fred D Davis, Richard P Bagozzi et al.•Management Science•1989

  • Factors influencing the use of social media by SMEs and its performance outcomes

    Open Access•Sulaiman Ainin, Farzana Parveen et al.•Industrial Management & Data…•2015

  • Sampling in Interview-Based Qualitative Research

    O C Robinson•Qualitative Research in Psychology•2013

  • Sampling Knowledge

    C Noy•International Journal of Social…•2008

Unique citing works4
Citations per year1,33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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