TY - JOUR AU1 - Zhong, Zufeng AU2 - Duan, Yaoqing AB - PurposeThe purpose of this paper is to study major influencing factors on public satisfaction with regard to information disclosure amid typhoon disasters. Internal latent variables, including disaster information quality, information disclosure channels and disaster perception levels, significantly affected the degree of public satisfaction, which was key factors in determining account consumer satisfaction.Design/methodology/approachBy conducting the questionnaire survey in typhoon-prone areas, 326 copies of the questionnaire about public satisfaction towards government information disclosure about typhoon were collected. An exponential model of satisfaction about information disclosure amid typhoon disasters was constructed and analyzed through the selection of latent variables, the hypotheses of the structural relationship and the establishment of measurable variables.FindingsDisaster information quality, disaster information disclosure channels and disaster perception levels were all positively correlated with the dimensions of information performance perception dimensions. Public expectations also made positive contributions to public satisfaction. These findings strongly support the hypothesis that public satisfaction affects the government image and public trust.Originality/valueWith the Leizhou Peninsula, China attacked by the typhoon disasters as an example, the SEM was adopted to simulate the routes and its feasibility and scientificity were validated. It is valuable to build and analyze an evaluation model based on a structural equation model underlying the public satisfaction towards information disclosure amid typhoon disasters. TI - Empirical study on the evaluation model of public satisfaction with typhoon disaster information disclosure JF - Kybernetes DO - 10.1108/K-09-2017-0341 DA - 2018-10-01 UR - https://www.deepdyve.com/lp/emerald-publishing/empirical-study-on-the-evaluation-model-of-public-satisfaction-with-CCwpzHBwur SP - 1704 EP - 1720 VL - 47 IS - 9 DP - DeepDyve ER -