Factors influencing the adoption of artificial intelligence systems: a systematic literature review

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Purpose Despite the potential of artificial intelligence (AI) systems to increase revenue, reduce costs and enhance performance, their adoption by organisations has fallen short expectations, leading unsuccessful implementations. This paper aims identify elucidate factors influencing AI at both organisational individual levels. Developing a conceptual model, it contributes understanding underlying individual, social, technological, environmental guides future research in this area. Design/methodology/approach The authors have conducted systematic literature review synthesise on determinants adoption. In total, 90 papers published field context were reviewed set Findings study categorised system into organisational, technological factors. Firm-level found impact employee behaviour towards systems. Further is needed understand effects these perceptions, emotions behaviours new These findings led proposal theory-based model illustrating relationships between factors, challenging assumption independence influencers firm Originality/value one first current knowledge adoption, serving as theoretical foundation for further emerging field. developed integrates key from levels, offering holistic view interconnectedness various approach challenges that levels operate independently. Through study, information researchers practitioners gain deeper enhancing insight its impacts.

Language: Английский

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Hotel digital intelligence capability: dimension exploration and scale development

Journal of Hospitality and Tourism Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

Purpose This study aims to explore the dimensional structure of hotel digital intelligence capability and develop a measurement scale. Design/methodology/approach adopts qualitative quantitative approaches conduct an exploratory inquiry into structural dimensions with help grounded theory. Based on this, several questionnaires were developed test scale verify its validity. Findings The results reveal that comprises four dimensions: data collection processing capability, customer service personalization decision support sustainable development capability. consists factors 13 items, reliability validity tests demonstrating ideal levels. Originality/value not only provides new perspective understand but also develops corresponding scale, laying solid theoretical basis for managers scientifically evaluate this achieve competitive advantage.

Language: Английский

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Leveraging Cost-Effective AI and Smart Technologies for Rapid Infrastructural Development in USA

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 59 - 71

Published: July 26, 2024

High cost of building makes houses expensive for US citizens and residents. Thus, this study proposes the leveraging cost-effective artificial intelligence (AI) smart technologies (ST) rapid infrastructural development in US. It considers them as sustainable means tackling challenges attainment affordable houses. The explores potentials prominent AI capable reducing US, which would become all. primary data are obtained from telephone interviews with 10 construction workers 5 experts AI, alongside observation introspection. secondary drawn library internet. Qualitative method, thematic content analyses, systematic review, descriptive interpretive tools employed. results show Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Robotic Process Automation to be technologies, while Building Systems, Internet Things, Renewable Energy Smart Water Management Systems technologies. concludes that identified not only cost-effective, but also transformative innovation-driven can leveraged increase efficiency, productivity, quality delivery satisfactory services. recommends government organizations cost-effectiveness towards attaining USA.

Language: Английский

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Achieving Housing Affordability in the U.S. through Sustained Use of AI and Robotic Process Automation for Prefabricated Modular Construction

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 122 - 134

Published: Aug. 13, 2024

The rising housing issues occasioned by high costs in the United States (US) are traceable to of building materials and construction. This study proposes combined leveraging AI Robotic Process Automation (RPA) for prefabricated modular construction as a strategic means reducing increasing efficiency It argues that doing so would pave way affordability US. Deploying descriptive survey qualitative method alongside applicable interpretive techniques, demonstrates course its analysis RPA viable housing, efficiency. submits amidst established constraints ideal extent activities, yields huge positive results among which reduced increased Government organizations charged play enabling roles adoption sustainability including construction, achieve increase

Language: Английский

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Interplay of factors determining users’ intentions to adopt chatbots for airline tickets assistance. The moderating role of perceived waiting time

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Language: Английский

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Uncovering the mechanism of user stickiness to central bank digital currency via behavioral reasoning theory: evidence from the electronic Chinese yuan

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Purpose Central bank digital currencies (CBDCs) play a critical role in driving national transformation. While China’s CBDC, the electronic Chinese yuan (e-CNY), has been launched several pilot cities, reports indicate low user stickiness. To address this issue, we applied behavioral reasoning theory (BRT) to develop model and hypotheses. This explores how personal values (such as openness change), reasons for adoption (RFs: relative advantage, compatibility perceived security) against (RAs: usage barriers, inertia lack of scenarios) influence attitudes their stickiness e-CNY. Design/methodology/approach A mixed-methods approach was employed, starting with qualitative research through semistructured interviews identify key (RFs) (RAs) e-CNY adoption. followed by quantitative survey 601 respondents, data analyzed via partial least squares test proposed Findings Our findings that change increases RFs reduces RAs. positively toward e-CNY, whereas RAs negatively impact these attitudes. Both directly stickiness, they also it indirectly Additionally, partially mediate relationship between both Originality/value study provides deeper understanding emphasizing (openness change) adoption-related factors shaping The provide practical insights government businesses collaborate enhancing users’

Language: Английский

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Unlocking Pandora's Box: Unravelling nested futures directions of the AI in tourism and hospitality through an umbrella review

International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 129, P. 104189 - 104189

Published: March 27, 2025

Language: Английский

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From TAM to AIDUA and Beyond

Journal of Global Information Management, Journal Year: 2025, Volume and Issue: 33(1), P. 1 - 27

Published: April 3, 2025

This review examines the emerging field of service robot adoption in hospitality. It provides a comprehensive overview their evolution, classification, and conceptualization. The offers theoretically grounded analysis customer intentions, identifying evaluating salient models frameworks. Through research synthesis, it pinpoints key gaps hindering holistic understanding acceptance, particularly hotels. highlights limitations traditional acceptance like TAM, advocating exploration alternatives for unified understanding. underscores need robust methodologies to capture real-world interactions, as well meta-analyses establish consensus. also identifies critical related anthropomorphism, segmentation, resistance, emphasizing importance contextual factors. By addressing these theoretical methodological limitations, valuable insights guide future on enhancing integration

Language: Английский

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Explore the anthropomorphism of service bots in tourism: A MASEM analysis based on stereotype content model

Current Issues in Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 8, 2025

Language: Английский

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Artificial intelligence adoption in hospitality: challenges and opportunities across hierarchical levels

Tourism Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Purpose This study aims to examine the challenges (barriers) and opportunities (drivers) of adopting artificial intelligence in hospitality industry by exploring how individuals at different hierarchical levels within hotels perceive benefits obstacles associated with adoption. Design/methodology/approach adopts a consensus mapping approach analyze insights gathered from interviews 55 information-rich participants, representing diverse roles hotel industry. Participants are categorized into three distinct groups: top managers, first-line managers nonmanagerial employees. Findings By using approach, this ascertains individual perceptions regarding barriers drivers influencing adoption sector. Study findings underscore intelligencés potential increase operational efficiency enhance customer experiences. Notably, prioritize pursuit competitive advantage, whereas employees emphasize significance cost-saving benefits. Despite these benefits, noteworthy hesitance is observed across various positions, largely attributable factors such as lack awareness understanding, well resistance change. Originality/value The originality twofold. First, it offers basis for tailored communication strategies aimed strengthening acceptance groups. Second, diverging prevailing customer-centric perspectives, uniquely focuses on employees’ perceptions, thereby providing new unexplored multifaceted dynamics organizational contexts.

Language: Английский

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