Abstract
Industry 4.0 confronts companies, in particular SMEs, with various technological, organizational and cultural challenges with great impact on traditional business models. This paradigmatic socio-technical shift, implies the redefinition of the role of people in the organisation, the integration of all organisational decision layers (from the factory floor to the decision support structures) and the digital connection of the entire value chain, including processes, people and machines. However, the lack of qualified resources and the lack of an holistic understanding of industry 4.0 derail SMES’ digital transformation journey. This research work discusses the need for industry 4.0 re-conceptualisation, tailored to SMES’ needs. A lightweight ontology is presented and discussed how it contributes to the organisation and structuring a Community Of Practice, to share knowledge in the context of SMES’ industry 4.0 initiatives. Despite of the discussed use case, the developed artefact might be used to assess SME’s digital readiness. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract
IIoT platforms are a digital enabler for the industrial digital transformation, allowing the organisations to have a clear vision over its current status, promoting flexibility for a fast adjustment to market changes. The development of such a complex technological environment raises a two-fold concern: to promote a simpler modular customisation, and to promote the domain expert's involvement in the process. This requires a new approach on the specification of IIoT architecture, where the conceptualisation phase is crucial. In this context, semantics might play an impacting role, accommodating the multidisciplinary knowledge of IIoT architectures in a technological artefact, at the service of both technological architects and companies' domain experts. This paper discusses a semantic model to represent IIoT components, its conceptual relations, and technical constraints in a common view, supporting the construction of both IIoT concept and platforms within organisations.

Abstract
The economic development process associated with entrepreneurial ecosystems comprises different approaches and its understanding is vital for regional growth. The Polytechnic Institute of Porto is boosting its entrepreneurial ecosystem, to reinforce its action as an agent of economic and social development in the regions where it operates. The objective of the work was to propose the criteria for the construction of an analysis model that allows the identification of regional "strategic bets" that will support the development of proposals for the provision of support services that integrate with the regional business base and incorporate "Decision Intelligence" to performance of the "Entrepreneurial Regional Observatory of the Porto Startup Network." The methodology used was an exploratory research and, at the end, the initiatives taken and the results are presented.

Abstract
We are living in a digital age, which is characterized by an accelerated technological transformation. In this context, digital inequalities, which are often caused by the population's lack of technological knowledge, are increasingly accentuated and consequently, there is a growing need for training and digital inclusion of the population. This paper presents the initiative Capacid@de Digital: Tamega e Sousa Volunteer Network for Digital Training, proposed by School of Management and Technology of the Polytechnic of Porto. This initiative aims to digitally train the active and non-active population of Tamega and Sousa region, providing them digital skills that allow the execution of digital tasks necessary for the daily life of any citizen. In addition, the methodology used as basis for structuring this project is described.

Abstract
Purpose This paper investigates the effect of the fit between supply and demand uncertainty (SDU) and supply chain responsiveness (SCR) (SC fit) on business and innovation performance in Brazilian companies. Design/methodology/approach The study presented an analysis carried out on an empirical study based on a sample of 150 manufacturing companies. Business and innovation performance of companies with different types of SC fit ( high-high and low-low fits) and misfit (positive and negative) are compared and discussed. Findings The results indicated that SC fit had a positive effect on both business and innovation performance. Further analyses suggested that companies with SC fit present similar business performance, independent of the level of SDU that characterizes the environment where they compete, while companies in environments with higher levels of uncertainty tend to present superior innovation performance. Companies with positive and negative misfit present similar performance. Originality/value An analysis of the literature showed that there is no consensus when it comes to the definitions and measurements of SC fit. The paper investigates the effects of SC fit on business and innovation performance, while previous empirical studies have mainly addressed its impact on financial performance. Moreover, this study compares the effects of two types of fit and two types of misfit and assesses SC fit in Brazilian manufacturing companies, analyzing the context of an under-researched reality.

Abstract
This special issue of the Management Letters/Cuadernos de Gestion is dedicated, on one hand, to presenting those articles that are included as part of the special issue on innovation and, on the other hand, to disclose the top priorities on innovation research taking into account challenging topics we are witnessing in the business world that fuel research creativity. The first part of this editorial presents the four articles that make up this special issue on innovation. The second part of this editorial addresses the main topics of the shifting landscape innovation faces: business model innovation, artificial intelligence, Industry 4.0, Internet of things, innovation ecosystems and gamification.