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Several governments in Canada have made commitments to adopting evidence-based policy development. Several obstacles to the adoption of this approach have been identified in the policy literature. However, this literature has lacked an economic perspective. This is unfortunate, since economics has produced the most fully developed normative theory of government policy in the social sciences and humanities. The main elements of this theory are the theory of market failure and the theory of non-market failure, and the integration of those two elements in what Charles Wolf called implementation analysis. The Austrian economics tradition also offers the implications of what is often called Hayek’s knowledge problem and the lessons learned from the economic calculation debate as contributions to the understanding of the challenges facing the application of evidence-based policy. The authors propose adding four economic elements to the current model of evidence-based policy development: (1) providing sufficient and convincing evidence that a market failure has occurred; (2) providing sufficient and convincing evidence that a non-market failure is unlikely to occur or if it does occur the damages from the non-market failure will be less serious than the harm resulting from the market failure; (3) an appreciation of the distributed and conflicted character of social knowledge; and (4) the technical challenges involved in constructing a social preference order. The authors illustrate the application of the economic approach to evidence-based policy with an example from rural land use policy in Ontario.

Ministers are always calling for more evidence‐based interventions. Do they apply the same criterion to their own work of making policy? Perhaps surprisingly, policy making is not an evidence‐free zone. However, it is important to understand the ways in which policy makers in different situations will use information differently, count different kinds of information as evidence, and so exercise different styles of judgment.

Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences.

Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results.

The results showed the capability of the model in providing credible evidences to inform policy-making processes.

This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

Purpose – The purpose of this chapter is to consider “equality mainstreaming” as an international policy and to explore some of the implications this raises for public management.

Design/Methodology/Approach – The methodology is based on literature review looking at the way gender mainstreaming practices have developed a wider application to equality mainstreaming. Examining the relationship between mainstreaming and evidence-based management, it comments on the challenges this poses for public management.

Findings – Equality mainstreaming and its implications have been largely absent from public management discourse despite the growth of equality mainstreaming in international policy.

Research limitations/Implications – Research in public management should address mainstreaming and its potential for social change.

Practical implications – This chapter brings this issue to the forefront in an effort to engage academics and public managers.

Social implications – This chapter raises theoretical questions about mainstreaming and social change in favor of equality. It is a starting point for further research on public management as a tool for shifting organizational and societal values.

Originality/Value – The chapter provides an overview of previous literature and policy development in this area and then moves on to explore the implications of extending mainstreaming as a concept to other policy areas and examines both challenges and opportunities raised by this approach for the management of values in public services.

This article critically analyses the concept of evidence in evidence‐based policy, arguing that there is a key problem: there is no existing practicable theory of evidence, one which is philosophically‐grounded and yet applicable for evidence‐based policy. The article critically considers both philosophical accounts of evidence and practical treatments of evidence in evidence‐based policy. It argues that both fail in different ways to provide a theory of evidence that is adequate for evidence‐based policy. The article contributes to the debate about how evidence can and should be used to reduce contingency in science and in policy based on science.

The rise of evidence‐based medicine and more recently evidence‐based policy reflect the increasing importance of evidence as a basis for the organisation and delivery of health care. Evidence‐based practice is central to the “modernisation” of health care in current UK policy. The latest manifestation of this process is the emergence of evidence‐based management in health care. This paper examines the development of evidence‐based approaches in health care and questions the appropriateness of such an approach to management. The problems inherent in applying the principles of EBP to management are explored and alternative apporoach based on the notion of craft is suggesteed as more practical and realistic.

This chapter examines factors that maximize collaboration among various stakeholders with the purpose of health policy making in Turkey. The field research reveals that policy networks have been formed in the sub-areas of public health, healthcare construction, and health tourism in the years between 2011 and 2015. Content analysis of 24 semi-structured interviews with policy and professional experts is conducted to assess Network Collaborative Capacity, built upon three dimensions, namely, structural, relational, and institutional. The findings reveal that networks differ in their capacity to collaborate as well as their impact on policy making resulting in three distinct models of network policy making. In the cases under investigation, network impact takes the form of (a) policy innovation through expertise sharing and evidence-based policy making associated with particularly high levels of relational capacity; (b) policy effectiveness through contract enforcement within a clear legal framework associated with particularly high levels of institutional capacity; and (c) policy coherence through organizational-knowledge-sharing and actor coordination. Findings also suggest that institutionalization in the form of network embeddedness in the surrounding political and economic environment is crucial for maintaining a collaborative momentum as well as achieving policy effectiveness at the stage of policy implementation. Based on these findings, further studies should focus on the institutionalization of policy networks, particularly in those middle-income countries such as Turkey that aim and often fail to address various policy challenges through short-lived practices of multi-stakeholder action. Finally, this study emphasizes the importance of incorporating neo-institutional approaches to network analysis.

The “two communities” metaphor for the relationship between policy and academia is inconsistent with empirical evidence that shows that a sizeable minority of public servants use academic research in their policy-related work. The purpose of this paper is to investigate the two communities metaphor by comparing the personal and professional characteristics of Australian public servants who claim to use research in their policy work with the characteristics of those who claim not to use research.

Using data from a survey of 2,084 public servants from the state and federal levels in Australia carried out from 2011 to 2013, tests of statistical significance were conducted for the relationship between some personal and professional characteristics (e.g. gender, age, work experience) and the claim that research is used in policy-related work.

The “two communities” metaphor is not an accurate description of the relationship between policy and academia. In reality, public servants who claim to use academic research in their policy work are more likely to have much in common with academics, including having postgraduate degrees and work experience in the university sector.

Rather than existing as isolated solitudes, the findings in this paper suggest that the policy and academic communities possess links that can encourage the use of research in policy making.

The findings presented in this paper are especially important for the evidence-based policy movement, which emphasises the value of the use of research evidence in the creation of public policy.

The World Health Organization has pointed out that the majority of developing countries currently rely on imported drugs, in spite of the fact that there is potential for them to produce their own drugs. The purpose of this paper is to present a framework as an innovation policy model that can strategically predict the outcome of drug development investment in developing countries.

In order to explore a model relevant to the policy-making process, the literature was systematically reviewed with a focus on the impact of policy changes on drug development in developing countries.

An innovation policy model consists of the relational influences of contextual variables of pharma capabilities, innovation incentives and political factors affecting drug development in developing countries, derived from a dissenting policy-making perspective. This was built to test two hypotheses of a positive relationship between the above variables; and a perspectives gap between the pharmaceutical companies and the policymakers. These hypotheses address issues related to the lack of drug development in developing countries.

This paper presents a conceptual framework for the evaluation and provides examples of its use, but it is currently at a relatively early stage of research. Further work is currently underway and will later be presented to the same journal.

Domestic drug development in developing countries needs to be feasible in order to ensure drug security. This predictive policy model provides a comprehensive approach to health policy reforms to examine innovation strategies.

This model includes measures to explore whether pharma capabilities, innovation incentives and/or political factors have an effect on domestic drug development in developing countries. It bridges the policy implementation’s operational process between pharmaceutical companies and policymakers.

This paper aims to present pertinent research challenges in the field of (big) data-informed policy-making based on the research, undertaken within the course of the European Union-funded project Big Policy Canvas. Technological advancements, especially in the past decade, have revolutionised the way that both every day and complex activities are conducted. It is, thus, expected that a particularly important actor such as the public sector, should constitute a successful disruption paradigm through the adoption of novel approaches and state-of-the-art information and communication technologies.

The research challenges stem from a need, trend and asset assessment based on qualitative and quantitative research, as well as from the identification of gaps and external framework factors that hinder the rapid and effective uptake of data-driven policy-making approaches.

The current paper presents a set of research challenges categorised in six main clusters, namely, public governance framework, privacy, transparency, trust, data acquisition, cleaning and representativeness, data clustering, integration and fusion, modelling and analysis with big data and data visualisation.

The paper provides a holistic overview of the interdisciplinary research challenges in the field of data-informed policy-making at a glance and shall serve as a foundation for the discussion of future research directions in a broader scientific community. It, furthermore, underlines the necessity to overcome isolated scientific views and treatments because of a high complex multi-layered environment.