The European Foundation for Quality Management (EFQM) 2020 model is a comprehensive and updated business model that encompasses sustainability and shares features with Industry 4.0, emphasizing transformation and improved organizational performance, yet with different theoretical and practical foundations. This research highlights the EFQM 2020 model’s novelties and its relationships/implications with the Industry 4.0 paradigm, contributing to the Quality 4.0 body of knowledge. Several linkages between the EFQM 2020 model and Industry 4.0 have been identified, namely, at the criteria level and guidance points, which can support successful digital transformation by combining quality and excellence with Industry 4.0. However, given the model’s generic and non-prescriptive nature, there is no specific reference to the nine Industry 4.0 pillars. Additionally, the links between direction and organizational culture and leadership criteria and driving performance and transformation are not evident, which might be a concern for business and technology transformation strategies. Managing knowledge, skills, and capabilities is critical for the successful adoption of Industry 4.0. The EFQM model adds a strategic and technologically unbiased perspective to Industry 4.0, providing an integrated business excellence framework for Quality 4.0. With empirical support of the model application, future research is recommended to develop this subject further.

Globalisation, urbanisation and the recent COVID-19 pandemic has been raising the demand for logistic activities. This change is affecting the entire supply chain, especially the last-mile step. This step is considered the most expensive and ineffective part of the supply chain and a source of negative economic, environmental and social externalities. This article aims to characterise the sustainable urban last-mile logistics research field through a systematic literature review (N = 102). This wide and holistic review was organised into six thematic clusters that identified the main concepts addressed in the different areas of the last-mile research and the existence of 14 solutions, grouped into three types (vehicular, operational, and organisational solutions). The major findings are that there are no ideal last-mile solutions as their limitations should be further explored by considering the so-called “triple bottom line of sustainability”; the integration and combination of multiple last-mile alternative concepts; or by establishing collaboration schemes that minimise the stakeholders’ conflicting interests.

The diffusion of new digital technologies renders digital transformation relevant to nearly every economic activity sector, including in the agriculture sector. Farming and how farmers work is changing, the use of Information and Communications Technology (ICT) together with the increased use of the Internet of Things (IoT) is developing a concept that is called Smart Farming. Smart Farming benefits are tremendous, smart data can be used for seed traits and to treat soil conditions, the use of new technologies can offer unprecedented conveniences and improve the management and quality of agriculture farming. The use of new information systems and services will be more and more used to sustain and improve operations, competitiveness, and profitability in the agriculture sector. However, the massive use of technology comes with inherent security risks and vulnerabilities, and the sector finds itself targeted as never before. In this paper, using an empirical methodology, are highlighted some reflections regarding the security challenges that Smart Farming systems face.