Cognition and emotion play important roles in information systems (IS) research, yet existing studies have not provided a comprehensive picture of these issues in the IS field. In this study, a citation network including 2,061 related academic articles published between 1996 and 2019 is established. Two novel indicators are proposed, through which 57 influential articles are identified, namely annual average degree centrality (AADC) and annual average betweenness centrality (AABC). A backward search process is performed preceding the co-citation analysis to exhaustively collect co-citation data. Finally, integrating multidimensional scaling analysis with clustering analysis, six core knowledge groups are revealed.

Grasping the concerns of customers is paramount, serving as a foundation for both attracting and retaining a loyal customer base. While customer satisfaction has been extensively explored across diverse industries, there remains a dearth of insights into how distinct rural bed and breakfasts (RB&Bs) can effectively cater to the specific needs of their target audience. This research utilized latent semantic analysis and text regression techniques on online reviews, uncovering previously unrecognized factors contributing to RB&B customer satisfaction. Furthermore, the study demonstrates that certain factors wield distinct impacts on guest satisfaction within varying RB&B market segments. The implications of these findings extend to empowering RB&B owners with actionable insights to enhance the overall customer experience.