Technological advancements and B2B international trade: A bibliometric analysis and review of industrial marketing research

Lacka, Ewelina; Chan, Hing Kai; Wang, Xiaojun

doi:10.1016/j.indmarman.2020.04.007

Cited by 47 publications

(31 citation statements)

References 68 publications

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“…Although the above studies provide valuable insights to theory and practice, further work is needed. Lacka, Chan, and Wang (2020) provide a bibliometric analysis of research published in the Industrial Marketing Management journal, and by doing so they reveal current state of knowledge concerning international trade, and related issues. They identify research gaps, and make direct recommendation how those can be addressed in the future.…”

mentioning

confidence: 99%

Editorial on “Technological innovation in B2B international trade”

Lacka

Chan

Xiao-jun

2020

Industrial Marketing Management

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mentioning

confidence: 99%

Editorial on “Technological innovation in B2B international trade”

Lacka

Chan

Xiao-jun

2020

Industrial Marketing Management

Self Cite

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“…determining key themes, interrelationships and hidden patterns (Leung et al, 2017;Sun et al, 2014;Lacka et al, 2020). In this way, the nodes generated in a co-citation network can be categorised into clusters based on the density or strength of links between nodes (Liang and Liu, 2018;Xu et al, 2018, Mishra et al, 2018.…”

Section: Bibliometric Analysismentioning

confidence: 99%

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Han

Lam

Zhan

et al. 2021

IMDS

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PurposeAlthough the value of artificial intelligence (AI) has been acknowledged by companies, the literature shows challenges concerning AI-enabled business-to-business (B2B) marketing innovation, as well as the diversity of roles AI can play in this regard. Accordingly, this study investigates the approaches that AI can be used for enabling B2B marketing innovation.Design/methodology/approachApplying a bibliometric research method, this study systematically investigates the literature regarding AI-enabled B2B marketing. It synthesises state-of-the-art knowledge from 221 journal articles published between 1990 and 2021.FindingsApart from offering specific information regarding the most influential authors and most frequently cited articles, the study further categorises the use of AI for innovation in B2B marketing into five domains, identifying the main trends in the literature and suggesting directions for future research.Practical implicationsThrough the five identified domains, practitioners can assess their current use of AI and identify their future needs in the relevant domains in order to make appropriate decisions on how to invest in AI. Thus, the research enables companies to realise their digital marketing innovation strategies through AI.Originality/valueThe research represents one of the first large-scale reviews of relevant literature on AI in B2B marketing by (1) obtaining and comparing the most influential works based on a series of analyses; (2) identifying five domains of research into how AI can be used for facilitating B2B marketing innovation and (3) classifying relevant articles into five different time periods in order to identify both past trends and future directions in this specific field.

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“…These studios ignored the role of such tools as the Internet of Things, artificial intelligence, blockchain, and production technologies. Certain research gaps can be identified through analysis of journals and recommendations can be devised for further research (Lacka et al, 2020).…”

Section: Related Literaturementioning

confidence: 99%

Bibliometric analysis of scientific production on international trade and cryptocurrency

AVŞAR¹,

Serin²

2021

Int. j. adv. appl. sci.

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There has been a remarkable increase in the number of publications on international trade and cryptocurrency in recent years. This paper aims to analyze the literature on international trade and cryptocurrency in the Web of Science database. This study uses the bibliometric method and mapping analysis. The cluster analysis is conducted based on the keyword analysis. These publications are reviewed from different aspects such as type of publication, language, and book title. This study found that 767 articles which are related to cryptocurrency and international trade. Among the countries in which these studies are conducted, China ranks the first, followed by the USA and UK, respectively. Various organizations in different countries support studies on this topic. In conclusion, cryptocurrency technologies draw the attention of academia, and the use of cryptocurrency in international trade will determine the future trade structure. The innovative features of cryptocurrency can develop new business models, which may be the reason for the academic interest in this matter. It will be useful for businesses and governments to follow this potential carefully to benefit from the advantages of innovative business models.

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Technological advancements and B2B international trade: A bibliometric analysis and review of industrial marketing research

Cited by 47 publications

References 68 publications

Editorial on “Technological innovation in B2B international trade”

Editorial on “Technological innovation in B2B international trade”

Artificial intelligence in business-to-business marketing: a bibliometric analysis of current research status, development and future directions

Bibliometric analysis of scientific production on international trade and cryptocurrency

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