Impacts of menu information quality and nutrition information quality on technology acceptance characteristics and behaviors toward fast food restaurants' kiosk

BACKGROUND/OBJECTIVES: With the advances in technologies, self-service kiosks at foodservice operations are becoming a new way of service provision. This study examined the relationships among the menu information quality, nutrition information quality, technology acceptance characteristics, and customer behavioral intention toward the kiosks in fast food restaurants.SUBJECTS/METHODS: A survey with a self-administered method was distributed online and offline. The sample consisted of customers who had used the kiosks at fast food restaurants in the last six months prior to the survey. The study hypotheses were tested by applying structural equation modeling.RESULTS: Structural equation modeling revealed the positive impacts of menu information quality and nutrition information quality, technology acceptance characteristics, and behavioral intention toward kiosks at fast food restaurants. On the other hand, one hypothesis (Hypothesis 4) on the impact of nutrition information quality on the perceived usefulness was rejected.CONCLUSION: The study is the first to investigate nutrition and menu information at foodservice kiosks and relate them to technology acceptance. The study is very timely and adequate in the time of the 4th industrial revolution. The critical importance of the presentation of nutrition information and menu information at the kiosks at fast food restaurants was verified. The academic and industrial implications of the study findings were discussed.

Public Acceptance of a Health Information Exchange in Korea / 대한의료정보학회지

OBJECTIVES: We assessed the public acceptance of a health information exchange (HIE) and examined factors that influenced the acceptance and associations among constructs of the Technology Acceptance Model (TAM). METHODS: We collected data from a survey of 1,000 individuals in Korea, which was administered through a structured questionnaire. We assessed the validity and reliability of the survey instrument with exploratory factor analysis and Cronbach's alpha coefficients. We computed descriptive statistics to assess the acceptance and performed regression analyses with a structural equation model to estimate the magnitude and significance of influences among constructs of TAM. RESULTS: Eighty-seven percent of the respondents were willing to use the technology, and the average level of agreement with the need for the technology was 4.16 on a 5-point Likert scale. The perception of ease of use of the technology significantly influenced perceptions of usefulness and attitudes about the need for HIE. Perceptions of usefulness influenced attitude and behavioral intention to use HIE, and attitude influenced intention. Age showed a wide range of influences throughout the model, and experience with offline-based information exchange and health status also showed noteworthy influences. CONCLUSIONS: The public acceptance of HIE was high, and influences posited by TAM were mostly confirmed by the study results. The study findings indicated a need for an education and communication strategy tailored by population age, health status, and prior experience with offline-based exchange to gain public buy-in for a successful introduction of the technology.