Simulation-Based Learning Acceptance Model (SBL-AM): Expanding the Technology Acceptance Model (TAM) into Hospitality Education

Lefrid, Mohammed; Cavusoglu, Muhittin; Richardson, Scott; Donnelly, Claire

doi:10.1080/10963758.2023.2188217

Cited by 5 publications

(2 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Past findings have confirmed that PEOU impacts a user's intention to use new technology [52,53]. This relationship has been empirically confirmed in several technological areas including augmented reality [54], m-learning [52], Internet of Things services [55], and SBL [56]. When individuals identify technology as simple to use, they are prone to have more positive attitudes toward using that technology [57].…”

Section: B Perceived Usefulness (Pu)mentioning

confidence: 72%

Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis

Asadi,

Allison,

Iranmanesh

et al. 2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

Section: B Perceived Usefulness (Pu)mentioning

confidence: 72%

Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis

Asadi,

Allison,

Iranmanesh

et al. 2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

“…The information adoption model (IAM) is an extension of the technology acceptance model (TAM) that focuses on how individuals perceive and use the information that they receive in online spaces [27][28][29]. The IAM combines cognitive elaboration and source credibility to foresee the acceptance of information by users, highlighting the features of perceived usefulness and ease of use, source credibility, and information quality [30,31].…”

Section: Information Adoption Modelmentioning

confidence: 99%

The Impact of Online Word of Mouth (e-WOM) on End-User Purchasing Intentions: A Study on e-WOM Channels’ Effects on the Saudi Hospitality Market

Beyari,

Garamoun

2024

Sustainability

View full text Add to dashboard Cite

In this paper, we study the relationship between electronic word of mouth (e-WOM), brand perceptions, and consumer purchase intentions in the Saudi hospitality market via an extensive questionnaire design using a five-point Likert scale. A total of 410 respondents from the central, western, and eastern regions of Saudi Arabia were chosen using the convenience sampling technique. The structural equation modeling (SEM) analysis using SPSS AMOS 26 software showed that e-WOM via social media, online retail stores, brand-owned media, and influencers positively affects perceived brand quality, which leads to increased purchase intentions. The model showed an R-squared of 0.579, indicating that e-WOM explains about 57.9% of the variation in perceived brand quality. In particular, e-WOM through social media and influencers has been established as a strong factor in predicting perceptions of brand quality. This study reveals that learning the nuances and strategic management of e-WOM channels is key to improving brand perceptions and consumer purchase behavior in the Saudi hospitality market in the digital age.

show abstract

Simulation-based learning for computer and networking teaching: A systematic literature review and bibliometric analysis

Asadi,

Allison,

Khurana

et al. 2024

Educ Inf Technol

View full text Add to dashboard Cite

Simulation-Based Learning Acceptance Model (SBL-AM): Expanding the Technology Acceptance Model (TAM) into Hospitality Education

Cited by 5 publications

References 72 publications

Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis

Determinants of Intention to Use Simulation-Based Learning in Computers and Networking Courses: An ISM and MICMAC Analysis

The Impact of Online Word of Mouth (e-WOM) on End-User Purchasing Intentions: A Study on e-WOM Channels’ Effects on the Saudi Hospitality Market

Simulation-based learning for computer and networking teaching: A systematic literature review and bibliometric analysis

Contact Info

Product

Resources

About