Saeed Badghish

The primary purpose of this study was to investigate and present a theoretical model that identifies the most influential factors affecting the adoption of artificial intelligence (AI) by SMEs to achieve sustainable business performance in Saudi Arabia by integrating the Technology–Organization–Environment (TOE) framework. The authors utilized a quantitative method, using a survey instrument for this research. Data for this research were collected from managers working in six different sectors. Subsequently, based on company size, firms were divided into two groups, allowing multi-group analysis of small and medium-sized businesses to explore group differences. Hence, firm size played a moderating role in the conceptualized model. Data analysis was performed on SmartPLS 3, and the results suggest that dimensions of the TOE framework, such as relative advantage, compatibility, sustainable human capital, market and customer demand, and government support, play a significant role in the adoption of AI. Moreover, this study found a significant influence of AI on SMEs’ operational and economic performance. The multi-group analysis (MGA) results reveal significant group differences, with a medium-sized firm strengthening the relationship between relative advantage and AI adoption compared to small-size firms. The findings lead to practical implications for companies on how to increase the adoption of AI to help SMEs embrace their technological challenges in KSA and obtain sustainable business performance to contribute to the economy.

With tremendous technological advancements, traditional retailing has progressively been transformed into an omnichannel retail environment. While making an appeal to the behavioral reasoning theory, this paper explicates consumers’ (hedonic and utilitarian) value expectations and behavioral reasoning patterns as key antecedents of the maturing of their webrooming intentions in omnichannel environments. Performing PLS-based structural equation modeling on survey data obtained from 470 consumers, it has been found that both the (perceived) value and behavioral reasoning patterns of the consumers exhibit significant direct and indirect effects on building favorable attitudes toward webrooming that eventually lead to the culmination of pro-webrooming intentions. Besides expanding our understanding of the phenomena of interest, this study offers useful insights to marketers/retailers on how to boost pro-webrooming attitudes, intentions, and behaviors by ensuring a superior alignment with (utilitarian and hedonic) value perceptions and pro- and counter-webrooming reasoning patterns of the consumers.