Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe

Hradecky, David; Kennell, James; Cai, Wenjie; Davidson, Rob

doi:10.1016/j.ijinfomgt.2022.102497

Cited by 72 publications

(30 citation statements)

References 75 publications

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“…Indeed, this result suggests that the main driver of technology adoption is "organization preparedness" for digitalization. This result aligns with previous studies highlighting the prominence of the technological and organizational aspects in "organization readiness" to digital technology adoption, defined by the degree to which an organization is ready to digitally transform the current organization (e.g., [29], [50], and [68]). This body of research put forward the relevance of available resources and capabilities, knowledge, culture, existing data, and the strategic alignment between technology adoption and the business strategy.…”

Section: Resultssupporting

confidence: 91%

Drivers of Digital Transformation in SMEs

Omrani

Khachlouf

Maâlaoui

et al. 2024

IEEE Trans. Eng. Manage.

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This study aims to identify and analyze factors determining the adoption of digital technologies in SMEs. Drawing on the technology-organization-environment framework, the study highlights enabling factors from three different contexts and hypothesizes their relationship with digital technology adoption. The data used were collected from 15 346 European Union and non-European Union SMEs to test an ordered logit regression model that highlights the factors associated with an increased level of digital technologies adoption in SMEs. The empirical results show that the technology context (IT infrastructure and digital tools) along with the existing level of innovation are the main drivers that act as stepping stones in digital technology adoption. Corporate regulation, available skills, and financial resources (as organizational variables) also play a significant role in the adoption decision. Unexpectedly, the influence of the environmental context is marginal. The implications of this study are emphasized for theory and practice, laying a foundation for further empirical studies in this field. Managerial relevance statement: This article reviews the empirical research on digital technologies adoption and examines the drivers of such adoption in SMEs. The factors identified provide guidance for practitioners adopting digital technologies in SMEs, by suggesting they assess the readiness of their firms before investing in digital technology. This research helps advance the conversation on digitalization drivers especially by bringing the discussion into the organization boundaries, as our findings highlight the predominance of organizational drivers over the technological and environmental ones. SMEs have to overcome the challenges associated with constructing an IT infrastructure capable of implementing new technologies. Indeed, while striving to adopt new digital technologies (e.g., AI, big data, IoT), many SMEs are still unprepared. Therefore, rather than adopting mimetic behaviors based on external pressure, SMEs that aim for digitalization should first assess their existing technologies, and further develop

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Section: Resultssupporting

confidence: 91%

Drivers of Digital Transformation in SMEs

Omrani

Khachlouf

Maâlaoui

et al. 2024

IEEE Trans. Eng. Manage.

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“…Artificial intelligence (AI) technology enables human-like cognitive capacity for advanced decision making in contemporary intelligent systems (Dwivedi et al, 2021;Hradecky et al, 2022). Despite these advances, research shows that human perceptions can trigger behavioral responses that affect an organization's capability to leverage such systems when predictions are presented to end users (Berger et al, 2021;Chiu et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

Herm

Heinrich

Wanner

et al. 2023

International Journal of Information Management

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“…Savlovschi and Robu (2011) have demonstrated that SMEs play a critical role in the growth of national economies and that AI-based accounting automation can play a significant role in this growth (Mohammad et al, 2020). Despite this, SMEs have slowly adopted this game-changing technology (Anshari & Almunawar, 2021;Hradecky et al, 2022). A few studies have recently examined AI-based accounting automation adoption in SMEs (Bhalerao et al, 2022;Lee & Tajudeen, 2020).…”

Section: Introductionmentioning

confidence: 99%

Determinants of artificial intelligence adoption in SMEs: The mediating role of accounting automation

Rawashdeh¹,

Bakhit²,

Abaalkhail³

2023

10.5267/j.ijdns

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The study examines the technological factors influencing the adoption of artificial intelligence (AI) technology. In addition, this study examines the mediating role of accounting automation on AI adoption in a small and medium-sized enterprise (SMEs) context. The owners and managers of SMEs were surveyed online using a convenience sampling technique. The proposed model was tested using SEM. The findings confirmed the relationships between the predictive variables and AI adoption. The results showed that accounting automation partially mediated the relationship between predictive variables and the adoption of AI. The results contribute to the TOE model by incorporating accounting automation into the TOE framework as a mediating variable. The study also contributed to the literature by including new variables in the model, such as saving time and efficiency-improving.

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Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe

Cited by 72 publications

References 75 publications

Drivers of Digital Transformation in SMEs

Drivers of Digital Transformation in SMEs

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

Determinants of artificial intelligence adoption in SMEs: The mediating role of accounting automation

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