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This paper aims to examine how the different dimensions of project members’ intra-organizational social capital – cognitive, affective and relational – facilitate knowledge integration in project-based organizations, and how knowledge integration, in turn, impacts explorative and exploitative learning.

Based on an analysis of 129 R&D Spanish organizations, the study analyzes the interconnections between the different dimensions of social capital and how they affect to knowledge integration as antecedent of explorative and exploitative learning in project-based organizations.

Results confirm that knowledge integration is beneficial for both exploratory and exploitive learning and thus that R&D organizations may be thus ambidextrous in their knowledge management. Related to the three dimensions of social capital, only the cognitive dimension (shared vision) has a significant impact on knowledge integration. However, the analysis confirms the interconnections between the three dimensions of social capital: the relational dimension (social interaction ties) and the cognitive dimension (shared vision) have significant effect on the relational one (trust), and the relational dimension also has an influence on the cognitive dimension. The model proposed in this study thus shows an acceptable capacity to discern the different influence of the dimensions of internal social capital on knowledge integration and, subsequently, ambidextrous learning.

This paper examines the importance of intra-organizational social capital, in terms of their cognitive (shared vision), relational (trust) and structural (social interaction ties) dimensions, for explorative and exploitative learning in project-based organizations. The analysis takes the baton of previous literature where is suggested that the three dimensions of social capital are interlocked and not just need to be considered simultaneously.

In response to calls for the extension of job design research for the strategic team particularly in high-velocity environment, the purpose of this paper is to investigate the moderating roles of job design in the relationships between project team viewed as human capital resources and new product development (NPD) performance in the short and long run. Based on survey data from 117 NPD project teams in high-technology multinational companies (MNCs) in Thailand, this research finds that job design (i.e. autonomous, task identity and feedback) moderates the effects of human capital resources on NPD project success. In addition, job design works in concert with human capital resources to affect managing NPD project-to-project in the long run. Designing jobs by providing autonomy, identity and feedbacks could trigger the stronger contribution not only for fostering knowledge creation in the NPD project team, but also encouraging intrinsic motivation to commit extra effort to achieve NPD goals. This research contributes to the job design literature of how job design works for NPD project team to achieve short-and long-run NPD performance. Implications for these results are discussed.

Based on survey data from 117 NPD projects in high-technology MNCs in Thailand, this research uses hierarchical regression to do analyses.

This research finds that job design (i.e. autonomous, task identity and feedback) moderates the effects of human capital resources on the short-run project performance. In addition, job design works in concert with human capital resources to affect managing project-to-project in the long run.

This research contributes to the job design literature of how job design works for NPD project team to achieve short-and long-run NPD performance.

Investigating the moderating roles of job design in the relationship between human capital resources and NPD performance in the short and long run.

This study, an exploratory one, aims to empirically investigate the association of national intellectual capital (NIC) with the national digital transformation readiness of the European Union's (EU’s) member states. Apart from building the conceptual model of NIC, this study explores the role of NIC dimensions in the digital divide between European countries.

Based on the literature review and the available EU statistical data and indexes, the theoretical framework and conceptual model for NIC were developed. The model explores the relation of NIC and its dimensions (human, social, structural, relational and renewable/development capital) on the readiness of European countries for digital transformation and the digital divide. Significant differences between EU countries in NIC and digital readiness were tested. Multiple linear regression was used to explore the association of each NIC dimension with digital transformation and digital divide within the EU.

Despite a positive association between all dimensions of NIC and digital transformation readiness, the proposed model of NIC was not confirmed in full. Regression analysis proved social capital and working skills, a dimension of human capital, to be the predictors of digital transformation at a national level, able to detect certain elements of digital divide between EU member states. Structural capital, knowledge and education, as dimensions of human capital, were predictors of the digital divide in terms of the integration of digital media in companies.

This research has a limited propensity for generalisation due to the lack of common measurement models in the field of NIC exploration.

This research offers policy makers an indication of the relationships between NIC and digital transformation, pointing out which dimensions of NIC should be strengthened to allow the EU to meet the challenges of digital economy and to overcome the digital divide between EU member states.

The use of digital technologies is key in creating active and informed citizens in the public sphere and productive companies and economic growth in the business sphere.

This study provides an original theoretical framework and conceptual model through which to analyse the relationship between NIC and digital transformation, which has thus far not been explored at the level of the EU. This research makes an original contribution to the empirical exploration of NIC and produces new insights in the fields of digital transformation and intellectual capital.

This study aims to evaluates a public policy program that finances projects for the development of innovative technological solutions. This paper analyzed the influence of human and social capital on the development of the projects, under the perspective of the policy’s effectiveness and efficiency. This specific policy adopted the funding model of economic subsidy by means of grants, which shows the significant engagement of the public sector in applying nonrefundable resources more directly through loans, assuming the role of an entrepreneurial state, according to Mazzucato (2011, 2018) and Tavani and Zamparelli (2020).

This is a quantitative-descriptive study, according to Marconi and Lakatos (2017). This study is descriptive, for presenting information on innovation projects funded by FUNCAP (Ceará Foundation for Support to Scientific and Technological Development). In addition, this study is quantitative, by establishing multivariate relationships among the variables that relate to human capital and social capital, which are relevant to technological and innovative development, and by introducing variables on technological evolution, proposed as measures of the program’s effectiveness (DTRL, MkTRL) and efficiency (ETRL).

This paper sought to contribute on public policies for innovation, more specifically on analyzing variables that may affect the development of technological and innovative projects in knowledge-intensive companies. The authors studied capitals potentially important for these companies in the development of innovative projects. Specifically, the authors sought to understand the importance of human capital and how it reflects in technical and scientific knowledge of the project team and of social capital and how it reflects the connection and social relationship among different team members. The results presented that the degree of efficiency of the public funding program depends on how much the teams of the benefited projects have accumulated knowledge, skills and technical capacities – the so-called teams’ human capital.

It is important to address the research sample as a research limitation, which had 72 responses obtained, from a submission rate of 284. Another study limitation is on the qualitative analysis of the topics addressed from the companies and policymakers perspectives, considering that the quantitative nature of the study does not allow for a deeper understanding of the qualitative perspective of the actors involved in the phenomenon studied. As recommendations for future studies, it is suggested to conduct qualitative studies on the aspects studied here. In this sense, it is possible to conduct case studies for specific companies, or policymakers, to clarify and deepen the relationships between the themes addressed here.

As for the practical implications of the research, both for managers of public funding programs and for company managers, the benefits of human capital, related to innovative project development teams, are important in programs that deal with technological development projects. In practice, this means that the greater the human capital of academic background of the members of the supported project teams, the more efficient the projects are in the process of developing their technologies by using the resources provided (Ashford, 2000; Chen et al., 2008; Lerro et al., 2014).

Hence, the authors conclude that the evaluated innovation-funding program through grants achieved acceptable results in terms of promoting the technological evolution of the benefited projects and bringing the technologies closer to the market. Its efficiency was the least favorable result, showing that the program needs to focus on improving this specific aspect. Within the investigated program, the issue that needs enhancement (efficiency – ETRL) was the one that presented significant relationships with the human and social capital of the benefited projects’ teams. Thus, it is possible that, by selecting more projects that have teams with high capital, the efficiency of the public policy, in this case the development of projects with high technological and innovative potential, will be possibly reached.

The findings strengthen the need for innovation public policies designed and implemented in a systemic way in the science, technology and innovation ecosystem, to provide a technological infrastructure and human capital necessary for developing projects with high technological and innovative potential (Ergas, 1987; Audretsch and Link, 2012; Caloghirou et al., 2015; Edler and Fagerberg, 2017; Silvio et al., 2019).

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

The crowdfunding market has experienced rapid growth in recent years. However, not all projects are successfully financed because of information asymmetries between the founder and the providers of external finance. This shortfall in funding has made factors that lead to successful fundraising, a great interest to researchers. This study draws on the social capital theory, human capital theory and level of processing (LOP) theory to predict the success of crowdfunding projects.

A feature set is extracted and correlations between project success and features are utilized to order the features. The artificial neural network (ANN) is popularly applied to analyze the dependencies of the input variables to improve the accuracy of prediction. However, the problem of overfitting may exist in such neural networks. This study proposes a neural network method based on ensemble machine learning and dropout methods to generate several neural networks for preventing the problem of overfitting. Four machine learning techniques are applied and compared for prediction performance.

This study shows that the success of crowdfunding projects can be predicted by measuring and analyzing big data of social media activity, human capital of funders and online project presentation. The ensemble neural network method achieves highest accuracy. The investments rose from early projects and another platform by the funder serve as credible indicators for later investors.

The managerial implication of this study is that the project founders and investors can apply the proposed model to predict the success of crowdfunding projects. This study also identifies the most influential features that affect fundraising outcomes. The project funders can use these features to increase the successful opportunities of crowdfunding project.

This study contributes to apply a new machine learning modeling method to extract features from activity data of crowdfunding platforms and predict crowdfunding project success. In addition, it contributes to the research on the deployment of social capital, human capital and online presentation strategies in a crowdfunding context as well as offers practical implications for project funders and investors.

This paper reports on a case study research regarding the development of capabilities from a multidimensional social capital perspective. Case study research together with a multi-disciplinary literature study are the platform for further theory development on the related questions: “How do organisations build capabilities?” and “What are the antecedents of the development of capabilities?.” We start by describing the theoretical origin of our research problem by focusing on a triangle: (1) the resource-based view; (2) the network approach; and (3) the social capital approach. Following this literature study, we discuss the case study research design that was developed within an industrial company (B2B). We next present the findings and refine our initial tentative conceptual framework.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.