Extending the Technology Acceptance Model (TAM) to Explore Customer’s Behavioral Intention to Use Self-Service Technologies (SSTs) in Chinese Budget Hotels

Ke, Yang; Choi, Jeong Gil; Chung, Jellna

doi:10.17549/gbfr.2021.26.1.79

Cited by 10 publications

(9 citation statements)

References 58 publications

(93 reference statements)

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“…Researchers can examine perceived risk in other tourism and hospitalityrelated industries such as airlines, cruise lines, and restaurants. Additionally, future studies can explore more extensive and diversified strategies risk reduction strategies such as SSTs (Self-Service Technologies) that can reduce direct contact and interaction between customers and hotel staff [68].…”

Section: Limitations and Future Researchmentioning

confidence: 99%

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

2021

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This study examined the impacts of perceived risks on information search and risk reduction strategies as well as the relative importance of each risk reduction strategy. Multiple regression analysis was applied to analyze the sample of South Korean hotel customers and to test the hypotheses of the study. It was found that when hotel customers faced the same kind of risk, they adopted different information search strategies to reduce various risks during the COVID-19 pandemic. Moreover, ‘following hotel employee’s advice’ was perceived to be the most important information search strategy to reduce risks. This is the first study to compare the differences of perceived risk and information search strategies under the COVID-19 pandemic and normal conditions to help hotels to develop more effective strategies to recover from the pandemic. The results of the study should be interpreted with care since it was based on Korean hotel customers. The influence of cultural differences in perceived risk and information search strategy should be addressed in future studies. The study contributes to the tourism and hospitality information search and risk reduction strategy-related literature and recommends avenues for further research in the field.

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Section: Limitations and Future Researchmentioning

confidence: 99%

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

2021

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“…There are several theories that explain technology adoption: the technology acceptance model (TAM), innovation diffusion theory (IDT), theory of reasoned action (TRA), theory of planned behavior (TPB), and technology-organization-environment (TOE). Of these theories, IDT, UTAUT, and TAM are mostly used in services in many sectors (Lee et al, 2022;Tran & Vu, 2019;Yang et al, 2021) . In healthcare informatics, UTAUT and TAM are mostly used, where TAM predicts a significant part of technology adoption and is considered more suitable for theoretical and empirical tests in e-services application including healthcare services (Holden & Karsh, 2010;Lee et al, 2022;Urus et al, 2022;Yang et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Of these theories, IDT, UTAUT, and TAM are mostly used in services in many sectors (Lee et al, 2022;Tran & Vu, 2019;Yang et al, 2021) . In healthcare informatics, UTAUT and TAM are mostly used, where TAM predicts a significant part of technology adoption and is considered more suitable for theoretical and empirical tests in e-services application including healthcare services (Holden & Karsh, 2010;Lee et al, 2022;Urus et al, 2022;Yang et al, 2021). TAM is a theory introduced by Davis (1985) and is one of the many models most widely used to explain user acceptance behavior, and which is used in this research.…”

Section: Literature Reviewmentioning

confidence: 99%

Examining the Factors Influencing Teleconsultation Adoption During the Pandemic Using the TAM Model

et al. 2024

Glob Bus Financ Rev

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Purpose: The purpose of this study is to understand patients' behavior in adopting teleconsultation services during the pandemic which has accelerated technology adoption in various sectors and regions in unnatural ways through experimentation in the wide-spread adoption of telemedicine specifically in teleconsultation. Design/methodology/approach: The study is cross-sectional quantitative research with purposive sampling that was analyzed using the partial least squares structural equation model (PLS-SEM) with data gathered from 100 patients who used tele-consultation services during the pandemic. The technology adoption model (TAM) was used to frame the phenomenon as previous study revealed that TAM is most suitable to understand technology adoption in the healthcare industry. Findings: The analysis revealed that trust, ease of use, and privacy are significant latent variables that influence the intention and actual use of the tele-consultation services, while the usefulness of the services insignificantly influences the intention to use. The study revealed that trust is the dominant factor despite the emergency and experimentation state of patients to get healthcare services during the pandemic. Self-preservation, and the patients accumulated experience they had with the healthcare services provider are the determinants of this behavior based on theory and confirmative interview. Research limitations/implications: The implication of this research opens interdisciplinary future research and practical action on the relationship between healthcare provider, patient experience, self-preservation, and technology adoption during the emergency and pandemic era. Research Limitation: Early system usage and adopter focused, limited system quality and reliability, and generalization are the limitation of this research. Originality/value: The study provides insight into factors that influence the adoption and usage of tele-consultation experimentation health services during a pandemic.

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“…Perceived usefulness has received great attention from researchers in all fields. According to Yang et al (2021), potential businesses of SEM Marketing consider their decisions about whether to adopt such technology based on perceived usefulness and ease of use of the technology itself. Perceived usefulness is a potential user's subjective assessment of Information Technology utility.…”

Section: B Research Model and Research Hypothesismentioning

confidence: 99%

Factor Affecting the Application of Sem Marketing at Small and Medium Enterprises in Hanoi

Duc¹,

Thanh²,

Anh³

et al. 2023

IJSSHR

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In the context of the volatile market economy, especially the increasing of competition, Marketing is considered as an indispensable tool in production and business activities, along with the strong development of technological techniques, the explosion of the Internet, Digital Marketing is becoming more and more developed. Nowadays, Digital Marketing is an effective advertising channel for businesses, including the application of SEM Marketing in small and medium enterprises (SMEs). Based on the analysis of 433 survey samples from SMEs in Hanoi, the research team gives an academic perspective on the factors affecting the application of SEM in SMEs in the area and propose recommendations towards improving the quality of SEM use in Hanoi in the coming time.

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Extending the Technology Acceptance Model (TAM) to Explore Customer’s Behavioral Intention to Use Self-Service Technologies (SSTs) in Chinese Budget Hotels

Abstract: Self-service technologies (SSTs) are a technological interface that enables customers to use services without direct intervention of service staff (Liu, 2020;

Cited by 10 publications

References 58 publications

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

The Impacts of Perceived Risks on Information Search and Risk Reduction Strategies: A Study of the Hotel Industry during the COVID-19 Pandemic

Examining the Factors Influencing Teleconsultation Adoption During the Pandemic Using the TAM Model

Factor Affecting the Application of Sem Marketing at Small and Medium Enterprises in Hanoi

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