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Author:

Bashir, Tayyeba (Bashir, Tayyeba.) | Zhongfu, Tan (Zhongfu, Tan.) | Sadiq, Burhan (Sadiq, Burhan.) | Naseem, Ammara (Naseem, Ammara.)

Abstract:

There has been a rapid rise in utilization of artificial intelligence (AI) in many different sectors in the last several years. However, business-to-business (B2B) marketing is one of the more notable examples. The initial assessments emphasize the significant advantages of AI in B2B marketing, including its knack for yielding unique understandings into consumer behaviors, recognizing crucial market trends, and improving operational efficiency. However, there seems to be a limited grasp of the optimal way to develop artificial intelligence competencies (AIC) for B2B marketing and how these attributes inevitably affect customer lifetime value (CLV). Equipped with AIC and B2B marketing literary fiction, this research unveils a theoretical research framework for evaluating the repercussions of AIC on B2B marketing capabilities and, subsequently, on CLV. We analyze the suggested research model using partial least squares structural equation modeling (PLS-SEM), leveraging 367 survey replies from Pakistani companies. The outcomes show a significant relationship that describe the ability to leverage AIC to enhance CLV, and also signifies the mediating role of B2B marketing capabilities to enhance CLV by integrating AIC in internet marketing. The findings of this study provide practical implications for marketers to monetize their marketing skills to enhance CLV and researchers with theoretical underpinnings of integration of AIC into marketing.

Keyword:

artificial intelligence competencies customer lifetime value information management B2B marketing capabilities resource-based view theory

Author Community:

  • [ 1 ] [Bashir, Tayyeba]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Zhongfu, Tan]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Sadiq, Burhan]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
  • [ 4 ] [Naseem, Ammara]Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China

Reprint Author's Address:

  • [Sadiq, Burhan]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China;;

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Source :

FRONTIERS IN ARTIFICIAL INTELLIGENCE

Year: 2024

Volume: 7

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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