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The purpose of this study is to ensure productive, robust and sustainable production systems and realise digitalised manufacturing trough implementation of Smart Maintenance – “an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies”. This paper aims to support industry practitioners in selecting performance indicators (PIs) to measure the effects of Smart Maintenance, and thus facilitate its implementation.

Intercoder reliability and negotiated agreement were used to analyse 170 maintenance PIs. The PIs were structurally categorised according to the anticipated effects of Smart Maintenance.

Companies need to revise their set of PIs when changing manufacturing and/or maintenance strategy (e.g. reshape the maintenance organisation towards Smart Maintenance). This paper suggests 13 categories of PIs to facilitate the selection of PIs for Smart Maintenance. The categories are based on 170 PIs, which were analysed according to the anticipated effects of Smart Maintenance.

The 13 suggested categories bring clarity to the measuring potential of the PIs and their relation to the Smart Maintenance concept. Thereby, this paper serves as a guide for industry practitioners to select PIs for measuring the effects of Smart Maintenance.

This is the first study evaluating how maintenance PIs measure the anticipated effects of maintenance in digitalised manufacturing. The methods intercoder reliability and negotiated agreement were used to ensure the trustworthiness of the categorisation of PIs. Such methods are rare in maintenance research.

This study addresses a gap in the literature by examining the marketing strategies adopted by wineries in the context of wine tourism. This study aims to identify marketing strategic orientations and highlight their significance in the context of wine tourism.

The research uses a comparative case study approach, focusing on two wine regions, Roussillon (France) and Empordà (Spain). It involves the analysis of 99 active winery websites to identify marketing orientations. Descriptive statistics, cluster analysis and ANOVA tests were used to achieve this.

The study reveals four distinct wine tourism strategic orientations adopted by wineries in these regions. It emphasizes the importance of external ties, varying levels of competitiveness, website performance and geographical differences as key findings. The results show that wineries with a clear diversification strategy benefit from a higher level of competitiveness.

This research contributes to the academic literature by identifying different marketing strategies within wine tourism, highlighting their importance and providing a comprehensive analysis of key areas, thus adding original insights to the existing body of literature.