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The purpose of this paper is to investigate how the context of open innovation offered by accelerators can affect the successful growth of start-ups. The authors explore accelerators practices and tools in sustaining start-ups and increasing survival probability in their innovation process, with the aim of addressing the following research question: how can start-ups benefit from participation in an accelerator programme from an open innovation perspective?

A review of the literature on start-up successes and failures and on major practices in the open innovation paradigm was carried out, delineating them in the context of accelerators. Given the absence of literature on accelerator practices for supporting start-ups, and aiming at a comprehensive understanding of how the open environment within the accelerator influences a start-up’s survival (or even success) by mitigating the probability of failure, the authors conducted an exploratory case study in an English accelerator.

The open innovation practices mediated by an accelerator and the ones that are not covered, but that can benefit a start-up’s survival, are shown. On the one hand, main effective practices, such as dyadic co-creation with accelerator network partners and crowdsourcing, are revealed to address mostly the lack of, or wrong direction in, product, marketing and relative managerial abilities, which are not usually owned by a start-up due to its “newness”. On the other hand, some causes of failures, such as the intrinsic characteristics of founder teams, do not seem to be addressed by an open approach and neither does participation in an accelerator programme.

This paper is the first to study and link the literature on accelerators, start-ups and open innovation.

This work provides new insights into possible managerial choices and development directions for practising open innovation (OI) in companies. The purpose of this paper is to explore the different practices, actors and tools adopted for opening up the innovation process, in particular, by small- and medium-sized enterprises (SMEs) that are still facing difficulties in its implementation.

The paper is based on a literature review and an exploratory survey of a sample of 85 European SMEs.

The study identifies a total of 23 practices, 20 actors and 11 tools involved in the OI processes of companies. It highlights, through literature and empirical evidence, how different combinations of practices, actors and tools are put into practice.

The developed framework offers new insights both from OI literature and from practitioners’ point of view into the supporting decision-making processes regarding which practices to implement, tools to adopt and actors to collaborate with. A wider investigation is recommended to include more variables to define the differences among the combinations of practices, actors and tools in terms of types of innovation (e.g. product, process, etc.), the openness degree and other contextual factors.

The originality of this paper is based on the fact that it focusses on a practical perspective of OI implementation, building a framework of reference from previous literature and empirical investigation.

Augmented reality (AR) and virtual reality (VR) are increasingly recognized among technologies potentially driving the digital innovation of small and medium-sized enterprises (SMEs). Nevertheless, the implications of AR/VR adoption in innovation processes have yet to receive much attention to date, with the need to explore the issues facilitating a systematic implementation in the SME context. This study aims to investigate the possible innovation paths of SMEs as a result of AR/VR adoption.

The authors performed a multiple case study research involving six Italian SMEs in manufacturing and service sectors that are investing in AR and/or VR solutions and are digitally innovating thanks to these technologies.

AR/VR solutions lead to different types of innovation in SMEs, i.e. for innovating product or service offerings, business processes or even the business model, when AR/VR extends to the company business logic. SMEs demonstrate being able to leverage internal sources with the essential commitment of top management and low resistance of employees in all kinds of AR/VR-enabled innovations. Conversely, they involve different external innovation sources according to the type of innovation pursued. Organizational issues emerged as more relevant than technological issues.

Results contribute to the literature on digital transformation of SMEs and provide managerial guidance on innovation sources and organizational issues to be considered to effectively deploy AR/VR solutions into specific innovation paths.

This study explores the impact of emergent technologies in the innovation process along with multiple perspectives, degree of complexity, and strategic importance in the SME context.

Adopting lean principles can unleash several opportunities for firms seeking to increase the efficiency and effectiveness of their product development (PD) process. This study aims to investigate the implementation paths of lean tools in the innovation process of small and medium-sized enterprises (SMEs).

A set of 47 lean tools are identified from the literature and ascribed to the five lean thinking principles, i.e. Value, Map, Flow, Pull and Perfection. Their practical adoption – in terms of “when” and “how” – is then explored in a multiple case study of three SMEs in the manufacturing industry.

SMEs adopt multiple lean tools in different phases of their innovation process. They are still at the beginning of the holistic adoption of lean PD, but some core lean tools, such as A3 reports and visual management, are adopted systematically. Results reveal that specific sets of lean tools and supporting principles are more valuable in certain phases of SMEs innovation process. Specifically, the lean tools concerning the principle of Value and Map can enable the phases of Innovation inputs, Concept development and Solution implementation; the ones ascribed to Flow and Pull the phases of Concept development, Testing and experimentation, and Solution implementation; the Perfection tools to the final phases of Testing and experimentation, Solution implementation and Market introduction.

Results provide a reference for SMEs already adopting lean tools in their production process to be extended to the PD process, especially when the delivery of new products is pivotal. Innovative SMEs could evaluate the introduction of specific lean tools in one or more definite phases of their PD process.

The study contributes to the literature on the complementarity between lean and innovation by studying the context of SMEs with a process perspective, thus unveiling the potential paths of a widespread application of lean innovation in SMEs.

This paper aims to investigate the effect of specific subsets of digital technologies and governance mechanisms (i.e. relational and contractual) on the efficiency of the automotive supply chain (SC).

Building on the Transaction Costs Economic (TCE) theory, and on the literatures on the governance and Digital Transformation of SCs, the research employs a multi-respondent survey on a sample of 101 Italian automotive suppliers. It analyses the interplay between investments in network and physical–digital interface technologies and buyer–supplier relationship governance models in a joint product development effort. The related effects on costs, from the automotive suppliers' perspective, are considered.

The results confirm the TCE assumptions on governance mechanisms being appropriate to enhance cost performance, but in particular show that digital technologies shape the governance of buyer–supplier relationships with different patterns. The features of synchronisation and accessibility, as ensured by network technologies, are found to strengthen the impact of contractual governance, while the adoption of physical–digital interface technologies, and their enhanced features of virtualisation and traceability, further enhance the impact of relational governance on the efficiency improvements of suppliers.

SC actors need to recognise the importance of long-term collaboration and superior coordination through investments in specific subsets of digital technologies, to ensure a higher product and production data codifiability, transparency and thus integration at both an intra- and an inter-firm level.

This study is one of the first to have considered Digital Transformation in SCs from the suppliers' perspective and its implications on the efficiency of relationship governance with buyers.

This paper aims to study the extent of the transformation of European manufacturing companies towards the factory of the future (FoF) and related concepts, e.g. Industry 4.0 and digitalisation.

A qualitative survey design was used to investigate the areas, patterns and elements for implementing FoF. A total of 92 responses from manufacturing firms of Alpine regions were collected and analysed, followed by in-depth interviews with a subset of respondents to identify common challenges, drivers and opportunities for the transformation.

Manufacturing companies are gaining awareness on their needs and gaps in the FoF path, the implications on business strategy and the rates of innovation and technology adoption. Nevertheless, they still need to shape their organisational structures (e.g. from highly centralised to more collaborative ones) and nurture their managerial capabilities in operations and supply chain management, and customer relationships, only partially based on FoF technologies.

This study aims to contribute to recent literature and practice of FoF (and related concepts) by depicting a picture of the possible areas of intervention, main issues and gaps (especially in terms of skills, supply chain and customer relationships) of manufacturing companies in their digital transformation. The qualitative research design and its scope represent the main limitations.

This paper provides a systemic overview for FoF by encompassing the technological, strategic, managerial and organisational perspectives of digitalisation in manufacturing and integrating the insights from a multi-sectorial and multi-dimensional analysis.