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Purpose The purpose of this study is to examine the role of artistic elements in a shopping mall’s experiential marketing strategy and the effects of artistic elements on customer shopping value (e.g. utilitarian, hedonic and symbolic) and shopper response (e.g. satisfaction, behavioural intention). Design/methodology/approach Data were collected from 300 shoppers in a shopping mall in Bangkok, Thailand. A partial least square-structural equation model was used to examine the impact of the artistic elements along with other elements in the shopping mall on shopper response through perceived shopping value. Findings Empirical evidence shows that artistic elements in an artified mall have a positive effect on customer hedonic and symbolic value, which in turn leads to positive shopper response. Artistic elements perform better than other elements in predicting symbolic value. Research limitations/implications The findings suggest that artistic elements should be considered a new source of mall differentiation and customer experience enhancement. Unique artistic elements add emotional and symbolic appeal to the mall, and mall managers should carefully choose artistic content that matches the position and target shoppers of their mall. Originality/value This paper proposed and empirically examined the effect of artistic elements as the new fourth atmospheric element. It extends the art infusion theory by applying it to the “non-luxury” shopping mall context to demonstrate the spillover effect of art on shopping value, which further influence shopper response.

PurposeThe introduction of quality management Internet of things (QM IoT) can help food supply chain members to enhance real-time visibility, quality, safety and efficiency of products and processes. Current literature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, the vagueness of integrative adoption of new technology framework and deficient research covering both adoption attitude and intention in the same model. This study aims to propose an analysis model based on the technological–organizational–environmental (TOE) framework and reinforced by the collaborative structure to capture the importance of the supply chain network.Design/methodology/approachThe partial least square-structural equation modeling (PLS-SEM) was applied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197 respondents in food manufacturing in Thailand.FindingsThe results indicated that compatibility, trialability, adaptive capacity, innovative capability, executive support, value chain partner pressure, presence of service provider and information sharing significantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capability and information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude toward QM IoT adoption positively impacted the QM IoT adoption intention.Practical implicationsThis study contributed to academicians by proposing a more solid adoption framework for QM IoT area. In addition, the business practitioners could actively prepare themselves for the QM IoT adoption, whereas the service providers could provide better and suitable service.Originality/valueThis research contributes to the building of a more solid framework and indicates significant factors that impact the attitude toward QM IoT adoption and adoption intention.