Authorship Cooperation and Journal Co-Citation Analysis
Scientific research depends on incremental improvements, so cooperation among researchers is important to advance any field. Collaborations also provide researchers with access to valuable expertise and allow them to share costs, pursue complementary lines of effort, and avoid duplications (Holdren, 2017; Silipo, 2008).
In addition to researchers, the source journals symbolize the domain. Exploring and reviewing the underlined publication trends among leading journals is likely to significantly help any research institution to identify the core strengths of the intellectual domain and reinforce scientific cooperations. Moreover, the analysis reveals the formation and development of intellectual networks within the knowledge base and provides valuable insights into the journals that have collectively shaped the field. In Figure 12, the co-citation network among leading journals that published articles on AI in marketing shows the prominence of Journal of Marketing and Journal of Marketing Research, which cite each other extensively. The Journal of the Academy of Marketing Science, MIS Quarterly, Harvard Business Review, Journal of Business Research, and Strategic Management Journal complement the core of this research domain.
Scientific research depends on incremental improvements, so cooperation among researchers is important to advance any field. Collaborations also provide researchers with access to valuable expertise and allow them to share costs, pursue complementary lines of effort, and avoid duplications (Holdren, 2017; Silipo, 2008).
Figure 11: Co-authorship network
Figure 11 depicts scientific collaborations among the leading researchers in the field, identifying three prominent researchers in the most central positions: Hein Ruys, Jaesoo Kim, and Sherrie Wei. Their work connects to other major researchers too, including (on the left) Roland Schegg, Paul Phillip, and Maria Manuela Santos Silva and (on the right) Alfonso Palmer, Juan José Montaño, and Albert Sesé. Many of these researchers study uses of AI in tourism marketing.
In addition to researchers, the source journals symbolize the domain. Exploring and reviewing the underlined publication trends among leading journals is likely to significantly help any research institution to identify the core strengths of the intellectual domain and reinforce scientific cooperations. Moreover, the analysis reveals the formation and development of intellectual networks within the knowledge base and provides valuable insights into the journals that have collectively shaped the field. In Figure 12, the co-citation network among leading journals that published articles on AI in marketing shows the prominence of Journal of Marketing and Journal of Marketing Research, which cite each other extensively. The Journal of the Academy of Marketing Science, MIS Quarterly, Harvard Business Review, Journal of Business Research, and Strategic Management Journal complement the core of this research domain.
Figure 12: Co-citation between the journals