This study deals with the revolutionary influence of “Generative Artificial Intelligence” (GAI) on “business-to-business” (B2B) marketing for the IT and technology fields. The objective of such a survey is to analyze the several ways in which GAI enhances B2B marketing, such as understanding customer needs, improving operational efficiency, increasing client engagement, fostering innovation, and enabling targeted marketing efforts. Applying sectoral sampling in information technology companies that will target decision makers aged 30–49, the methodology ensures that the respondents are key stakeholders in the marketing field. GAI’s impact on business development, especially for the B2B industry, is generally considered to be beneficial, providing considerable improvements in efficiency, innovation, and market analysis. Correlation analysis emphasizes the fact that business development/B2B growth can only be possible through enhancement in GAI capabilities. The research indicates window of opportunities for use of GAI techno and management tactics in the context of digital space as a competitive force. The consequences involve training and development programs, continuous enhancements of GAI applications, and dialogues between AI developers, marketing agents, and business representatives. The study also revealed that organizational size and budget significantly impact the successful adoption of GAI, with larger firms showing better utilisation. Scepticism or uncertainties within the organizations, such as decision-making speed and staff readiness, may represent a possible restriction. Recommendations start with workforce training, improving AI applications, and partnership building to facilitate innovation of B2B marketing. This work is worthy of attention and can help companies in building a business strategy for the B2B sector with GAI integration.

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Analyzing the Influence of Generative AI on B2B Marketing and Business Development

  • Kiran Veigas

摘要

This study deals with the revolutionary influence of “Generative Artificial Intelligence” (GAI) on “business-to-business” (B2B) marketing for the IT and technology fields. The objective of such a survey is to analyze the several ways in which GAI enhances B2B marketing, such as understanding customer needs, improving operational efficiency, increasing client engagement, fostering innovation, and enabling targeted marketing efforts. Applying sectoral sampling in information technology companies that will target decision makers aged 30–49, the methodology ensures that the respondents are key stakeholders in the marketing field. GAI’s impact on business development, especially for the B2B industry, is generally considered to be beneficial, providing considerable improvements in efficiency, innovation, and market analysis. Correlation analysis emphasizes the fact that business development/B2B growth can only be possible through enhancement in GAI capabilities. The research indicates window of opportunities for use of GAI techno and management tactics in the context of digital space as a competitive force. The consequences involve training and development programs, continuous enhancements of GAI applications, and dialogues between AI developers, marketing agents, and business representatives. The study also revealed that organizational size and budget significantly impact the successful adoption of GAI, with larger firms showing better utilisation. Scepticism or uncertainties within the organizations, such as decision-making speed and staff readiness, may represent a possible restriction. Recommendations start with workforce training, improving AI applications, and partnership building to facilitate innovation of B2B marketing. This work is worthy of attention and can help companies in building a business strategy for the B2B sector with GAI integration.