Factors affecting LPU Manila CITHM Faculty’s Perceived Satisfaction and Continuance Intention to Use Lobster Ink

Authors: Lyza Andrea Cagalpin, Jan Vincent Cañega, Jenely Oco, Cherry Mae Roldan, Patricia Mae Velasquez, Eunice A. Yude and Heinz Pelayo 

Issue: 2020-2021

Abstract:

The purpose of this research is to examine the perception of College of International Tourism and Hospitality Management (CITHM) faculty of Lyceum of the Philippines University (LPU) Manila in using Lobster Ink as supplemental learning material and the factors affecting satisfaction and continuous use intention. To measure the relationships between information quality, system quality, perceived ease of use, perceived usefulness, facilitating conditions, satisfaction, and continuance intention, the study used Quantitative Research Design, specifically a Causal Predictive Research Approach. The determinants are (1) perceived usefulness, (2) perceived ease of use, (3) information quality, (4) facilitating condition, and (5) system quality. Purposive sampling was employed to evaluate the research hypotheses utilizing survey responses from 51 LPU Manila CITHM faculty members. The descriptive statistics, reliability, and validity of WarpPLS 7.0 were used to investigate the relationship between different levels of agreement on content and information quality, system quality, perceived ease of use, perceived usefulness, facilitating conditions, and continuation intention, as well as the level of satisfaction with lobster ink as a supplemental learning platform. PLS-SEM is an acceptable statistical test for this investigation because it combines model creation and prediction. Responses of the participants reveal that Information Quality and System Quality has a positive effect on Satisfaction. On the other hand, Information Quality, System Quality, Perceive Ease of Use, Perceive Usefulness and Facilitating Condition has a negative effect on Continuous Intention. While Satisfaction also has a positive effect on Continuous Intention

Keywords: Service Quality; User Satisfaction; Intention to Use; Online Learning; DeLone McLean Model; Technology Acceptance Model; PLS‐SEM.