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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.

Public sector has started exploiting artificial intelligence (AI) techniques, however, mainly for operational but much less for tactical or level tasks. The purpose of this study is to exploit AI for the highest strategic-level task of government: to develop an AI-based public sector data analytics methodology for supporting policymaking for one of the most serious and large-scale challenges that governments repeatedly face, the economic crises that lead to economic recessions (though the proposed methodology is of much more general applicability).

A public sector data analytics methodology has been developed, which enables the exploitation of existing public and private sector data, through advanced processing of them using a big data-oriented AI technique, “all-relevant” feature selection, to identify characteristics of firms as well as their external environment that affect (positively or negatively) their resilience to economic crisis.

A first application of the proposed public sector data analytics methodology has been conducted, using Greek firms’ data concerning the economic crisis period 2009–2014, which has led to interesting conclusions and insights, revealing factors affecting the extent of sales revenue decrease in Greek firms during the above crisis period and providing a first validation of the methodology used in this study.

This paper contributes to the advancement of two emerging highly important, for the society, but minimally researched, digital government research domains: public sector data analytics (and especially policy analytics) and government exploitation of AI. It exploits an AI feature selection algorithm, the Boruta “all-relevant” variables identification algorithm, which has been minimally exploited in the past for public sector data analytics, to support the design of public policies for addressing one of the most serious and large-scale economic challenges that governments repeatedly face: the economic crises.

The proposed methodology allows the identification of characteristics of firms as well as their external environment that affect positively or negatively their resilience to economic crisis. This enables a better understanding of the kinds of firms that are more strongly hit by the crisis, which is quite useful for the design of public policies for supporting them; and at the same time reveals firms’ practices, resources, capabilities, etc. that enhance their ability to cope with economic crisis, to design policies for promoting them through educational and support activities.

This methodology can be very useful for the design of more effective public policies for reducing the negative impacts of economic crises on firms, and therefore mitigating their negative consequences for the society, such as unemployment, poverty and social exclusion.

This study develops a novel approach to the exploitation of public and private sector data, based on a minimally exploited, for such purposes, AI technique (“all-relevant” feature selection), to support the design of public policies for addressing one of the most threatening disruptions that modern economies and societies repeatedly face, the economic crises.

The purpose of this paper is to explore, through the use of a multidisciplinary lens, the policy context and the scope for improvements in university‐based public programmes focused on improving innovation in small and medium enterprises (SMEs).

The authors use the street‐level bureaucracy (SLB), combined with the systems of innovation approach (SIA) and diagnostic analysis (DA) to understand the context components that impact on public programme services. The study is part of a research programme oriented to the diffusion of information systems in SMEs and which used original interview‐based programme support case studies, interviews with regional policy managers, and documentation relating to the policy system and different public programmes. Although the empirical work was UK and European Union centric the results of the research have wide applicability.

The paper establishes the importance of programme contexts for diagnosing and providing a basis for public programme improvements. It further demonstrates the robustness of the context analysis framework to provide insights into proposed policy changes. The responsibility of improving programme contexts relies on actors that operate outside programme organisations, for instance EU funding bodies, government departments in charge of SME policies, public‐private partnerships, and private evaluators. Given this complexity it is suggested that SME associations have a potentially important role in increasing participation by SMEs in the public programme for innovation and knowledge support policy. Despite possible policy changes the requirement for public programme support for innovation and hence the role of universities as programme providers is confirmed and expanded.

The results demonstrate the value of a multidisciplinary framework to analyse programme interventions at both macro and micro levels and provide a basis for programme policy and policy implementation improvements.

This research is a novel attempt to use the SLB, SIA and DA to public programme university‐based interventions in SMEs and SME policies in general. It complements extant research on open innovation and knowledge exchange by extending the concept of public programme contexts. Beneficiaries of the findings include policy makers, programme organisations, universities, SME associations, and researchers.

The purpose of this paper is to better understand whether firm cooperation and absorptive capacity foster success in seeking public financial support for innovation activities and, by doing so, how they contribute to innovation output.

The authors therefore extend the existing literature focusing on the effects of cooperation and absorptive capacity on specific public financial support for innovation activities in Portuguese firms from local or regional government, central administration and the European Union by using available data from the Community Innovation Survey CIS 2010 and the application of logistic regression models. The empirical analysis enabled a better understanding of the positive relationship of the variables that determine the form of public financial support in the integration of incentives within firms to stimulate innovation.

Therefore, as the level of absorptive capacity in Portuguese firms increases, so does the demand for benefits from public financial support to stimulate innovation from the European Union also increases. The same analysis, now considering the determinant cooperation, notes the positive effects of institutional sources of information and cooperation, in the propensity for seeking public financial incentives from the Central Administration and the European Union. As for internal information and cooperation sources, they are positively related to the integration of incentive measures from the local or Regional Administration and Central Administration.

The paper presents results that allow us to propose some suggestions that both the firms and those responsible for the implementation of public policies can undertake to increment innovation performance.

The importance of government policies in the formation and development of strategic networks has been widely recognized. Many countries have designed specific government policies with the aim to support network creation. However, the influence of these different government policies on the development process of strategic networks has never been considered so far. Therefore, the purpose of this paper is to investigate how different government policies influence the development process of strategic networks.

This research uses a multiple case study design with a descriptive and processual case study approach. The study compares two strategic networks where different government policies have been implemented: on the one hand, policies aimed to promote networking through the support of trade association and the design of specific laws; on the other hand, public policies providing financial support for network development.

The comparative analysis of two networks shows how the different activities along the development process are carried out based on the different support received, and it highlights that financing network creation and exerting a control function is not enough to stimulate network development and sustain its success.

Considering the limited generalizability of this exploratory study because of the analysis of two cases, future studies with a larger number of strategic networks can expand the understanding of the effects of different types of public support for network development.

The results contribute to make entrepreneurs and public bodies aware of the importance of a managerial support to strategic networks’ development. The authors provide a series of evidences to academics and practitioners regarding how the development process of strategic networks may be shaped depending on the different government support they receive.

The value of this contribution lies in demonstrating the influence of different government policies in the development process of strategic networks, which has not been investigated yet, despite the great attention governments are devoting to networking.

An increasing array of policies have been suggested to combat rising obesity. Regardless of the policy intervention that is selected each comes with a cost in the form of imposition on the public purse, or regulative restrictions on business or individuals. Consequently, potential opposition makes it critical to garner sufficient public support for whichever policy is selected. The purpose of this paper is to explore the ability of attributional framing for the causes of obesity (framed around locus of control and controllability) to increase support for a range of policy interventions designed to reduce obesity.

Using an online panel, the authors manipulate the perceived cause of obesity along the internal/external locus and controllability/uncontrollability dimensions to assess whether attribution of causes of obesity can influence support for policy interventions that either encourage positive behaviour or discourage negative behaviour.

The authors find that framing the causes of obesity to emphasise internal/external locus and controllability/uncontrollability has significant and predictable effects on policy support for men but not for women. In this American study, they show that men are more open to persuasion because their views on the causes of obesity are less firmly held than women.

Highlighting the external and controllable causes of obesity was the most effective, suggesting that emphasising the role of the food industry in obesity can garner public support amongst males for a broad range of policy types. The limited effectiveness with women suggests that media focus be directed at male-oriented channels and outlets.

The authors show that, at least amongst men, attribution framing can be used as a tool to increase support for policy interventions to prevent obesity.

During the early SARS-CoV-2 (COVID-19) pandemic outbreak, the Center for Disease Control and Prevention (CDC) stated masks “may not protect the wearer, but it may keep the wearer from spreading the virus to others”. Health officials revised mask guidelines to include both the wearer and others, but contradiction became a focal point for online debate and credibility. While revised policies eventually became adopted by the public, there was loss time and lives during this critical stage. This study investigates collectivist messaging on public policy support.

COVID-19 public policy hypocrisy was defined as the gap between supporting community policies while rejecting policies more likely to impact the individual. United States participants (N = 1,605) completed questionnaires. Moderated mediation analysis was conducted using SPSS PROCESS.

Those high on collectivism and high on global personal impact associated with lower COVID-19 public policy hypocrisy. These individuals indicated consistent support for community and individual policies, likely requiring personal sacrifices. Indirect conditional effects of lower conscientiousness associated with higher hypocrisy among those collectivistic.

Participants evaluated preference to original public safety ads, representative of basic societal and individual benefits. Those higher on collectivism preferred societal “we” versus individual “me” public safety ads. Implications discuss benefits of personal and communal public health messaging in an individualistic society so businesses can reopen. Entrepreneurs experienced major economic setbacks that effective public health policies could have mitigated.

This paper will consider the rationale and effectiveness of SMEsupport policies in the award of public procurement (PP) contracts. One group of economic justifications for SME policies derives from the notion that awarding PP contracts to SMEs (and micro-enterprises) encourages innovation, entrepreneurship and so contributes to job creation, economic growth and can support local and regional developments to the benefit of wider society. The link between SMEs, innovation and economic growth has often been assumed in PP policy-making. While some studies show higher growth rates in small than larger firms, others indicate, to the contrary, that many micro and small enterprises, and particularly informal businesses, are not actively seeking to grow. This paper will assess how effective SME policies may be, and questions the extent to which they are properly evaluated.

This study aims to analyse how different types of public policies have supported the internationalisation of latecomer science-based firms, taking the case of large Brazilian pharmaceutical companies (LBPCs).

The methodology comprises a multiple case study and uses a literature review, fieldwork interviews and document analysis of eight LBPCs, five policymakers and three sector experts.

Direct and indirect policies differ in supporting LBPCs’ internationalisation motivation. The indirect policies created the necessary conditions to accumulate knowledge and capacity in the domestic market. LBPCs that adhere more to policies supporting production and technological capabilities development are internationalising as an extension of their innovative efforts. In contrast, LBPCs that have built productive capacities and have not yet reached a minimum level of technological capacity go abroad to exploit their production capabilities with the support of direct policies.

This study contributes to international business and evolutionary literature, demonstrating the channels through which public policies support latecomer science-based firms. The results show that direct and indirect policies assist firms’ internationalisation in different ways, according to actors’ perception: providing support to strengthen their domestic capabilities, which have become competitive advantages in the international market; or offering support to external expansion. It emphasises that industrial policies are relevant to support companies in creating the initial conditions (ownership advantages) to internationalise, and direct policies are important to help companies to design international strategies. This study also debates that policies supporting companies’ internationalisation depend on their adhesion to programmes and incentives and their routines and capabilities, which are specific to each company and lead to different motivations for international expansion.

The UK private finance initiative (PFI) public policy is heavily criticised. PFI contracts are highly profitable leading to incentives for PFI private-sector companies to support PFI public policy. This contested nature of PFIs requires legitimation by PFI private-sector companies, by means of impression management, in terms of the attention to and framing of PFI in PFI private-sector company annual reports. The paper aims to discuss this issue.

PFI-related annual report narratives of three UK PFI private-sector companies, over seven years and across two periods of significant change in the development of the PFI public policy, are analysed using manual content analysis.

Results suggest that PFI private-sector companies use impression management to legitimise during periods of uncertainty for PFI public policy, to alleviate concerns, to provide credibility for the policy and to legitimise the private sector’s own involvement in PFI.

While based on a sizeable database, the research is limited to the study of three PFI private-sector companies.

The portrayal of public policy in annual report narratives has not been subject to prior research. The research demonstrates how managers of PFI private-sector companies present PFI narratives in support of public policy direction that, in turn, benefits PFI private-sector companies.