...Lin Jia; Suraksha Gupta; Chaonan Yan; Yichuan Wang; Ao Shen Purpose This study uses machine learning approach to detect food safety risks and identify potential solutions by analyzing consumer reviews in the online catering platform. Design/methodology/approach The approach involves analyzing...

...- and image-mining techniques such as machine learning are used to measure the research variables and test the model by PLS-SEM. Findings The results indicate that affective engagement has a more significant impact on behavioural engagement than cognitive engagement for multidimensional actor engagement...

..., 1992): Personality Advertising Artificial intelligence Machine learning Personality traits Advances in natural language processing and machine learning algorithms enable organisations to develop superior insight into the personality of their customers and employees (Schwartz et al...

... of online searches. We use this finding to provide important managerial implications. Predictor Online search Random forest Machine learning Influencer Instrumental variable Causal relationship Cross-validation Movie revenue Review disagreement The motion picture industry is one...

... research focuses on the producers of the words than the words themselves and urges researchers to use AI and machine learning to extract meaning and value from the oceans of text and other content generated by organizations and their customers. Our intention with this special issue, however, was depth...

...Hsiu-Yuan (Jody) Tsao; Colin L. Campbell; Sean Sands; Carla Ferraro; Alexis Mavrommatis; Steven (Qiang) Lu Purpose This paper aims to develop a novel and generalizable machine-learning based method of measuring established marketing constructs through passive analysis of consumer-generated textual...