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The objective of this article is to empirically study the influence of the characteristics of small- and medium-sized enterprises (SMEs) in the processes of knowledge creation, knowledge transfer and innovation in conjunction with the utilisation of private and public knowledge (KM) in accordance with the “spinner innovation model” (SIM).

The article deploys a sample of primary data generated by a questionnaire applied to the managers of hotel SMEs in Portugal. This involved the application of the covariance and multiple regression analytical methods.

The results demonstrate that some of the SME characteristics return significant impacts on private and public KM: the processes of knowledge creation, transfers of knowledge and innovation. The results also identify how private KM statistically predicts the processes of knowledge creation and transfer and innovation while public KM shapes and influences the creation of knowledge.

As with any other such study, the key limitation stems from the sample made up of 82 hotel directors, which represents only a low rate of response even though the project deployed all of the procedures available to avoid such an outcome.

The SIM approach to the innovation process may assist strategic decision-makers to improve their tools and relations, avoid repeated working overlaps in existing processes as well as enabling more competitive approaches in terms of innovation.

Furthermore, the responses ascertained reflect only the universe of study, conditioned by the context that produced them; hence, any generalisation of the results requires due caution.

This is the first study to empirically analyse the influence of the characteristics of SMEs over the processes of creating and transferring knowledge and innovation based upon applying the SIM and observing the extent of public and private knowledge in the hotel sector of Europe, more specifically, Portugal.

The purpose of this research is to identify and accumulate knowledge on the existing developments on project success measures. The authors aim to contribute to this debate by providing both researchers and project management professionals with reliable contemporary project success criteria that permit generalization for a proper assessment regardless of the type and context of the project.

Data were collected from 264 Brazilian project managers from a range of industries, sectors of activities and business areas with different levels of experience. Data analysis was performed using the R software package.

In this research, the authors propose a general performance measure of project success where different projects can grade differently using the same scale. The data analysis validated five constructs of the developed model in the Brazilian setting.

Most of the actual project success measures used in project management literature have been tested in a specific industry or sector. Combinations of the type of project, industry, sector, project nature, stakeholders and other variables make each project unique. Thus, any effort to find a context-specific tool of measure will be an endless endeavor. To fill this gap, more general project success criteria need to be explored to offer a common point of comparison between projects. This is the motivation of the present study.

The purpose of this paper is to model a process for moving toward sustainable ecosystem service decisions in a Coastal Biodiversity and discuss the directions of the process for decision-makers to apply in ocean ecosystem services.

After the development of theoretical approaches to understand their prospects for the future development of ecosystem services, the authors worked on a process for developing factors for sustainable decision-making. It uses the Delphi method to develop all the factors supported by six dimensions in two specific moments: deductive-inductive and inductive-deductive.

This process of modeling the factors expands the possibility of adaptive governance to make prior and subsequent decisions using factors related to dimensions, stakeholders and benefits, risks, opportunities and costs.

Considering the limitations, future studies could use another database to widen the view in terms of the studies, factors, dimensions and other additional information to maintain the evolution of this process in ocean ecosystem services decision-making. Another limitation arose in the number of projects and experts defining the factors. This may prevent the opportunity to have more impact in terms of future decisions if more sources are used in the market. In addition, time and the access to experts during this modeling process demonstrate a limitation, as does the time for feedback.

This set of factors developed for adaptive governance decision-making can be applied to develop a prior alignment of stakeholder interests with sustainable practices.

This set of factors developed with the intervention of experts reinforces the importance of sustainable collective decisions on ocean ecosystem services. This is a joint approach with participants in the NextOcean project, sponsored by the European Commissions (EC)’s Horizon 2020 program. An Earth Observation-based Consortia aims to create sustainable value for Space, Land and Oceans.

This modeling process generated dimensions and factors to support adaptive governance stakeholders in making sustainable decisions in a coastal biodiversity zone.

This study aims to predict the dark side of knowledge management risk to innovation in Portuguese small and medium enterprises (SMEs). It examines the spinner innovation model factors of knowledge creation, knowledge transfer, private knowledge, public knowledge and innovation in uncertain environments.

The authors developed a conceptual model to support the analysis. The survey data stemmed from a sample of 208 Portuguese SMEs in Portugal. The authors analyzed the primary data from the ad hoc survey using the data mining (deep learning) technique.

The research sets out and tests factors relevant to understanding how to predict innovation in uncertain business environments. This study identifies four factors fostering innovation in SMEs: knowledge creation, knowledge transfer, public knowledge management and private knowledge management. Knowledge creation showed the best return and presented the closest relationship with innovation.

Innovation models generally measure the relationships between variables and their impacts on the economy (economic and regional development). Predictive models are considered in the literature as a gap to be filled, especially in an uncertain environment in the SME context.

The purpose of this paper is to analyse the propensity for innovation and co-creation in service companies in receipt of knowledge intensive business services (KIBS) type services through their intensive incorporation of knowledge.

In order to achieve this study objective, the authors first carried out a literature review in order to specify the scope of the construct; second, the authors applied a survey based on the “Spinner model”; third, the authors undertook research on KIBS clients and restricted the results to this population sample; and fourth, based on the validated and applied models deriving from the base construct, the authors presented the results obtained.

This concludes that the “Spinner” model is valid for explaining the propensity for innovation and co-creation in companies receiving KIBS. The results demonstrate evidence of innovation processes as a result of the intensive application of knowledge associated with co-creation and knowledge transfers.

This provides managers with a better understanding of the barriers that may obstruct the implementation of co-creation and knowledge transfers. Hence, the variables analysed may guide managers in defining and planning innovation strategies. Furthermore, this enables each company receiving such services to validate them and establish indices for the innovation propensity of specialist (knowledge intensive) service providers within the framework of benchmarking exercises.

This study sets out a new means of analysing the propensity for innovation and the co-creation of knowledge by companies making recourse to knowledge intensive services. From the theoretical point of view, this defines a new construct and a means of classification for companies supplying services designed for their propensity for innovation and co-creation. From the practical perspective, this study provides the companies subject to research with the opportunity to perceive their respective position in relation to other companies. In addition to this, ranking companies in such a way may drive the need to develop new knowledge for future co-creation and innovation processes.

Family firms have been the subject of various scientific studies. This interest derives not only from their unique characteristics in terms of their management but more specifically in terms of their succession in a dimension that does not impact on other companies in the same way. Hence, and as a complex field of research, this study seeks to map out and analyse the intellectual knowledge on research into family firms in Asian contexts.

As regards the statistical and analytical methods, the authors made recourse to the bibliometric, co-citation and cluster analysis techniques. In order to evaluate any potential patterns among the articles, the authors analysed the ways in which the articles are jointly cited. This furthermore applied hierarchical cluster analysis to the totality of the articles subject to co-citation analysis within the scope of grouping the interrelated articles into distinct sets. In order to graphically map the bibliographic co-citation analysis, the authors deployed the network and cluster determination theories.

The results enabled the identification and the classification of various theoretical perspectives on the domain of family firms into four main approaches: (1) family business behaviour; (2) family versus non-family CEOs; (3) business family performance; and (4) business family and people.

This study identifies, explores, analyses and summarises the main themes, contributing towards deepening the literature through the means of identifying the priority areas in relation to Asian family businesses able to guarantee international standards of excellence in comparison with their respective competitors.

The “Blue Economy” is a recent topic of study that spans those economic activities which depend on ecosystem services, thereby including such sectors as tourism, maritime transport, energy, water, fishing, among others. However, there is only limited research approaching the added value produced by marine activities connected with these sectors. This research contributes to the literature by providing interpretations of blue economy factors in terms of their added economic value. The authors deployed secondary data from 2009 to 2020 from the European Union Economy Database to analyze six sectors involving maritime activities: coastal tourism, living marine resources, non-living marine resources, port activities, shipbuilding and repair, and maritime transport. This study highlights how the sustainability of countries depends on the ability to manage their natural resources, especially maritime resources. Furthermore, sustainability depends on the economic interpretation of countries and sectors over time with regard to creating value and managing the activities derived from ecosystem services.