Augmented reality adoption intention among travel and tour operators in Malaysia: mediation effect of value alignment

Alam, Syed Shah; Masukujjaman, Mohammad; Susmit, Samiha; Susmit, Sumaiya; Aziz, Hassanuddeen Abd.

doi:10.1108/jtf-03-2021-0072

Cited by 29 publications

(19 citation statements)

References 89 publications

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“…Considering Study F, the results found that RA significantly impacts BI. On the contrary, TRI (provides opportunities to try various FinTech services, helps in getting benefits of innovation before final decision and trial FinTech services help in reduce uncertainties) has an insignificant impact on BI, which is consistent with the finding of Alam et al (2022) concluded that trial facility significantly reduces technological uncertainty.…”

Section: Discussionsupporting

confidence: 81%

Gender differences in FinTech adoption: What do we know, and what do we need to know?

Rani,

Kumar

2023

JM2

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Purpose This study aims to identify the determinants of adopting financial technology (FinTech) in Haryana (India). Further, the authors also compare the behavioural intention among male and female respondents to deliver a comprehensive understanding of the adoption of FinTech. Design/methodology/approach The current study contains two cross-sectional surveys about males and females. Study M is completed with (333) males, and Study F is conducted on (317) female users towards FinTech adoption. This study used “Partial least squares-structural equation modelling (PLS-SEM)” for data analysis. Findings The outcomes indicate that in both (Studies M and F), perceived usefulness and perceived ease of use substantially impact attitude and behavioural intention. Moreover, the results show that perceived value significantly influences, while perceived risks insignificantly influence behavioural intention. Surprisingly, relative advantage (in Study M) and trialability (in Study F) has insignificant impact on behavioural intention. Further, the outcomes also confirm that in both studies (M and F), attitude and behavioural intention substantially influence the actual use of FinTech. Originality/value To the best of the authors’ knowledge, this is the preliminary research on FinTech to inspect the role of gender in the technology adoption process. The adoption difference between males and females and the insightful result that the authors found help shed light on the uniqueness of the context. This study is also one of the initial to test three credible technology determinant theories and then offer a robust model for the actual use of FinTech that is to be used by both practitioners and researchers.

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Section: Discussionsupporting

confidence: 81%

Gender differences in FinTech adoption: What do we know, and what do we need to know?

Rani,

Kumar

2023

JM2

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“…Augmented reality (AR) is a “computer-generated object that improves the real-world environment, offering context-sensitive information about the user's close surroundings in the combination of image, 3D models and immersive features using the technological appliance, that is, eyeglasses, a desktop, tablet and a smartphone” (Alam et al. , 2022, p. 1, Yung and Khoo-Lattimore, 2019).…”

Section: Technologies Influencing the Vcc Processmentioning

confidence: 99%

Factors affecting value co-creation through artificial intelligence in tourism: a general literature review

Solakis

Katsoni

Mahmoud

et al. 2022

JTF

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PurposeThis is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.FindingsThis paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.Research limitations/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality/valueFew studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.

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“…Compatibility was discovered to be the main factor influencing technology (Lubanga et al, 2017;Nezamdoust et al, 2022). In light of this, compatibility may be used as an independent variable to help determine the degree of adoption at the governmental level, acting as an early warning system for its high relevance (Alam et al, 2022;Erdener et al, 2022).…”

Section: Discussion Of Resultsmentioning

confidence: 99%

The adoption of artificial intelligence applications in education

Alhumaid¹,

Naqbi²,

Elsori³

et al. 2023

10.5267/j.ijdns

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Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.

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Augmented reality adoption intention among travel and tour operators in Malaysia: mediation effect of value alignment

Cited by 29 publications

References 89 publications

Gender differences in FinTech adoption: What do we know, and what do we need to know?

Gender differences in FinTech adoption: What do we know, and what do we need to know?

Factors affecting value co-creation through artificial intelligence in tourism: a general literature review

The adoption of artificial intelligence applications in education

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