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The need to flexibly react to changing demands and to cost-efficiently manage customized production even for lot size of one requires a dynamic and holistic integration of service-based processes within and across enterprises of the value chain. In this context, this paper aims at presenting ODERU, the authors’ novel pragmatic approach for automatically implementing service-based manufacturing processes at design and runtime within a cloud-based elastic manufacturing platform.

ODERU relies on a set of semantic annotations of business process models encoded into an extension of the business process model and notation (BPMN) 2.0 standard. Leveraging the paradigms of semantic SOA and XaaS, ODERU integrates pattern-based semantic composition of process service plans with QoS-based optimization based on multi-objective constraint optimization problem solving.

The successful validation of ODERU in two industrial use cases for maintenance process optimization and automotive production in the European project CREMA revealed its usefulness for service-based process optimization in general and for significant cost reductions in maintenance in particular.

ODERU provides a pragmatic and flexible solution to optimal service composition with the following three main advantages: full integration of semantic service selection and composition with QoS-based optimization; executability of the generated optimal process service plans by an execution environment as they include service assignments, data flow (variable bindings) and optimal variable assignments; and support of fast replanning in a single model and plan.

Considerable evidence suggests that although they overlap, entrepreneurial and employee stressors have different causal antecedents and outcomes. However, limited empirical data explain how entrepreneurial traits, work and life drive entrepreneurial stressors and create entrepreneurial strain (commonly called entrepreneurial stress). Drawing on the challenge-hindrance framework (CHF), this paper hypothesises the causal effect of hindrance stressors on entrepreneurial strain. Furthermore, the study posits that entrepreneurial stressors and the resultant strain affect entrepreneurial behaviour.

The study adopts an SEM-based machine-learning approach. Cross-lagged path models using SEM are used to analyse the data and train the machine-learning algorithm for cross-validation and generalisation. The sample consists of 415 entrepreneurs from three countries: India, Oman and United Arab Emirates. The entrepreneurs completed two self-report surveys over 12 months.

The results show that hindrances to personal and professional goal achievement, demand-capability gap and contradictions between aspiration and reality, primarily due to unique resource constraints, characterise entrepreneurial stressors leading to entrepreneurial strain. The study further asserts that entrepreneurial strain is a significant predictor of entrepreneurial behaviour, significantly affecting innovativeness behaviour. Finally, the finding suggests that psychological capital moderates the adverse impact of stressors on entrepreneurial strain over time.

This study contributes to the CHF by demonstrating the value of hindrance stressors in studying entrepreneurial strain and providing new insights into entrepreneurial coping. It argues that entrepreneurs cope effectively against hindrance stressors by utilising psychological capital. Furthermore, the study provides more evidence about the causal, reversed and reciprocal relationships between stressors and entrepreneurial strain through a cross-lagged analysis. This study is one of the first to evaluate the impact of entrepreneurial strain on entrepreneurial behaviour. Using a machine-learning approach is a new possibility for using machine learning for SEM and entrepreneurial strain.

The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to explore whether these curvilinear relationships are moderated by the network centrality and structural holes in the knowledge network.

In this empirical research, the authors collected a sample of patents in the smartphone industry over the period of 2000-2017. Then the authors examined the direct roles of external search breadth and depth in the collaboration network and the moderating role of network embeddedness in the knowledge network by using negative binomial regression.

Results found that external search in the collaboration network contributes more to firm innovation outcomes when the breadth and depth of the external search are moderate rather than high or low. Furthermore, both network centrality and structural holes in the knowledge network have positive effects on the external search breadth – innovation outcomes and external search depth – innovation outcomes relationships.

The authors collected the patent data within the single industry and excluded other types of industries. This may limit the generalization of the findings.

The paper has practical implications for adopting appropriate search strategies in the collaboration network and developing a better understanding of the effect of network embeddedness in the knowledge network on firm innovation outcomes. The findings suggest future directions for technology-intensive industries to improve their innovation output.

This study adds value to open innovation literature by pointing out a curvilinear relationship (inverted U-shaped) between external search breadth/depth and innovation outcomes in collaboration networks, in contrast to studies focused on firms’ external collaboration strategies in a certain industry context. Furthermore, this study reinforces the key contingent role of embeddedness in knowledge networks. This study provides a valuable theoretical framework of innovation outcome determinants by connecting the network perspective of open innovation theory with an embeddedness view.

This chapter explores the relationship between entrepreneurship skills and decent work (DW), and how policy can help achieve this. We review the entrepreneurship skills literature in the context of DW, highlighting the key entrepreneurship skills needed in small and medium-sized enterprises (SMEs). Thereafter, we extract lessons from selected policy initiatives in countries with broad similarities (Australia, Canada, United States and England), through the lens of DW. Our review draws on peer-reviewed journals and key United Nations and global entrepreneurship platform publications. Entrepreneurship skills deficiencies have a detrimental impact on the success and sustainability of SMEs. Yet, SME's survival and growth is currently crucial, whereby organizations need to transform in response to changing environmental, political, technological and consumer needs. This is intensified by the challenges of Covid-19, severely affecting DW and productivity. To develop and retain even a semblance of ‘decent work’, entrepreneurs need to develop appropriate skills and there is a need for suitable policy addressing this. In this chapter, we present lessons learnt based on our review and provide recommendations for entrepreneurship skills development policies aligning with DW.

The purpose of this paper is to verifying the economic resilience of islands and, in particular, the role of the tourism sector in the reaction to the most recent economic crisis. The analysis concerns insular contexts, such as the greater island regions in the Mediterranean basin.

Static and dynamic panel data techniques are used for a sample of 13 island economies over a period of 16 years.

Results show that the growth factors for regional islands are similar to the ones usually considered for other regions, but the tourism-led growth hypothesis is highly supported. Tourism demand more than supply plays a role together with accessibility. The crisis has reduced the importance of tourism supply, while tourism demand and accessibility have remained crucial for growth together with other traditional engines of growth.

To the best of authors’ knowledge, none of the current works has considered territorial determinants and tourism indicators inside the same framework analyzing growth in island economies by considering the changes occurred during the crisis explicitly.

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.

In this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.

We found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.

This study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.

The purpose of this study is to underscore the impact of the family variable on performance. The authors were interested in understanding whether the differences between Family Firms (FFs) and Non-Family Firms (NFFs), on the one hand, and between large FFs and medium-sized FFs, on the other, were reflected in the performance achieved.

In this paper a sample of 80 industrial companies listed on the Italian Stock Market (FTSE MIB and STAR indexes) were considered, and mixed criteria to distinguish FFs and NFFs (Smyrnios-Romano et al., 1998) were used. The empirical method allowed the development of some research hypotheses by exploiting the Pearson correlation.

There are two main categories of FFs, which correspond to two different strategic and organizational categories, namely, the FFs listed on the large capitalized companies index (FTSE MIB) and the FFs listed on the medium-capitalized companies index (STAR). Each kind of FFs (large FFs and medium-sized FFs) has a specific effect on profitability and financial performance. Specifically, if a company is medium sized, family presence is a relevant variable in achieving better profitability and financial performance than NFFs of the same size; on the other hand, if the company expands to become a large one, the family presence is an irrelevant variable in terms of both profitability and financial leverage (debt ratio).

Limitations of the study concern the definition of the sample, as this paper focused on the industrial sector and the method adopted, as it could be integrated with some econometrical models. The implications of this paper are relevant for families and regulatory bodies because it helps them better understand the effects of governance and company size both on short- and long-term performance. Moreover, the findings of the study can influence the decision-making process of investors to identify the long-term outperformers listed on the Italian Stock Exchange.

This study contributes to the literature on FFs by defining two different categories of FFs, namely, large and medium-sized. It seems that larger companies record a weaker family influence on short-term profitability.

Delivering patient-centered healthcare is now seen as one of the basic requirements of good quality care. In this research, the impact of the perceived quality of three experiential dimensions (Physical Environment, Empowerment and Dignity and Patient–Doctor Relationship) on patient's Experiential Satisfaction is assessed.

259 structured interviews were performed with patients in private and public hospitals across Italy. The research methodology is based in testing mediation and moderation effects of the selected variables.

The study shows that: perceived quality of Physical Environment has a positive impact on patient's Experiential Satisfaction; perceived quality of Empowerment and Dignity and perceived quality of Patient–Doctor Relationship mediate this relationship reinforcing the role of Physical Environment on Experiential Satisfaction; educational level is a moderator in the relationship between perceived quality of Patient–Doctor Relationship and overall Satisfaction: more educated patients pay more attention to relational items. Subjective Health Frailty is a moderator in all the tested relationships with Experiential Satisfaction: patients who perceive their health as frail are more reactive to the quality of the above-mentioned variables.

Physical Environment items are enablers of both Empowerment and Dignity and Patient–Doctor Relationship and these variables must be addressed all together in order to improve the value proposition provided to patients. Designing a hospital, beyond technical requirements that modern medicine demands and functional relationships between different medical departments, means dealing with issues like the anxiety of the patient, the stressful working environment for the hospital staff and the need to build a sustainable and healing building.

This article investigates the relationship between family ownership and export performance in the context of SMEs while also considering the moderating role of the financial dimension and, in particular, financial constraints and financial flexibility.

We select a sample of 1,132 Italian SMEs to examine through an econometric analysis the role and impact of family ownership and the financial moderating variables being used on their export performance.

The results indicate that there is a U-shaped relationship between family ownership and export performance: the highest levels of export performance correspond to the lowest and highest family ownership levels, whereas when a mixture of family and nonfamily ownership exists, the performance suffers because of “conflicting voices” dominating strategic visions and approaches, harming the firm's export commitment. Moreover, the findings show that lower financial constraints and/or stronger financial flexibility improve the relationship between family ownership and export performance.

Our findings show that the ownership structure is important for export performance; in particular, firms should avoid a mixture between family and nonfamily ownership because it is detrimental to export performance. Moreover, Italian SMEs need to develop sources of financing other than the banking channel, and policy makers should favour this process to overcome financial constraint problems and improve financial flexibility. Limitations concern the use of other econometric approaches and measurement variables to further investigate the connection between family ownership and export performance.

The present study enhances the comprehension of the complex relationship between family ownership and export performance by documenting the relevance of the level of family ownership and considering the moderating role of financial constraints and flexibility.