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The paper seeks to propose the basic competencies of environmental social scientists regarding policy analysis for sustainable development. The ultimate goal is to contribute to an improvement of educational programmes in higher education by suggesting a toolbox that should be integrated in the curriculum.

Starting from the basic research questions regarding governance for sustainable development, five methods are identified capable of answering the following questions: reconstruction of policy theories; stakeholder analysis; impact assessment; cost‐benefit analysis; discourse analysis. Relevant information was collected through a literature review and practical experience by the authors.

These include: minimum content of the toolbox with methods of policy analysis for sustainable development; examples of how the toolbox can be applied; strengths and weaknesses of the methods; specification of competencies of environmental social scientists active in the area of policy analysis for sustainable development.

The paper proposes which methods of policy analysis for sustainable development should be integrated in higher education as well as how this should be done.

The paper systematically analyses the implications of the policy context in the domain of sustainable development for policy analysis in this area. In addition it gives a review of five basic methods: how they can be used to analyse policy issues from a sustainable development perspective. Aiming at reinforcing the input of scientific research in policy‐making, the paper eventually aims to promote sustainable development.

The purpose of this paper is to analyse the policy instruments used by the China's Government on prefabricated construction (PC) development, with the aim to clarify the pattern and discover the focus of the policy instruments using the methods of bibliometric analysis and content analysis.

Through a thorough screening by all researchers, 25 policies were identified from 1995 to 2021 were selected and analysed. The external attribute analysis clarified the issuing year, organisation, and the format of each policy. The content analysis was adopted firstly to analyse the policy instrument. An analysis framework including environmental instruments, supply instruments and demand instruments was applied in categorising and counting of each policy instrument. The bibliometric analysis was then carried out to extract keywords of the policy instruments, construct a co-word network and complete the cluster analysis.

The results indicate that the policies lack consistency and had relatively low authority. The results of content analysis show that the policy system relies heavily on environmental and supply instruments, whilst the use of demand instruments seems to be grossly inadequate. The results of the bibliometric analysis identify the core ideas of each policy instrument category, discuss the existing problems and then put forward the corresponding countermeasures.

This study comprehensively and systematically analysed the policy instruments on facilitating the development of PC in China which broaden the research perspectives of the PC development by introducing the methods of political science. The research findings afford helpful information for future policy adjustments and elucidate the effective delivery of policies to facilitate PC development for developing countries.

This study provides an in-depth understanding of policy instruments used by China's Government on PC development. By integrating the policy instrument analysis framework into the mixed methods of content analysis and bibliometric analysis, this study provides an innovative way to conduct policy instrument analysis.

Social marketing and government policy are intertwined. Despite this, policy analysis by social marketers is rare. This paper aims to address the dearth of policy analysis in social marketing and introduce and model a methodology grounded in Indigenous knowledge and from an Indigenous standpoint. In Australia, a minuscule number of First Nations people complete doctoral degrees. The most recent, major policy review, the Australian Council of Learned Academies (ACOLA) Report, made a series of recommendations, with some drawn from countries that have successfully uplifted Indigenous doctoral candidates’ success. This paper “speaks back” to the ACOLA Report.

This paper subjects the ACOLA Report, implementation plans and evaluations to a detailed Indigenous Critical Discourse Analysis using Nakata’s Indigenous standpoint theory and Bacchi’s Foucauldian discourse analysis to trace why policy borrowing from other countries is challenging if other elements of the political, social and cultural landscape are fundamentally unsupportive of reforms.

This paper makes arguments about the effects produced by the way the “problem” of First Nations doctoral education has been represented in this suite of Australian policy documents and the ways in which changes could be made that would actually address the pressing need for First Nations doctoral success in Australia.

Conducting policy analysis benefits social marketers in many ways, helping to navigate policy complexities and advocate for meaningful policy reforms for a social cause. This paper aims to spark more social marketing policy analysis and introduces a methodology uncommon to social marketing.

Small and medium-sized enterprises (SMEs) are currently showing an increasingly open innovation (OI) approach. Public policies supporting the adoption of OI by SMEs are becoming a priority for policymakers. Therefore, the aim of this article is to contribute to the literature by mapping scholars' policy recommendations for implementing OI among SMEs.

The authors conducted a systematic review of the literature (SRL) on the topic to achieve this purpose. A total of 99 academic articles were selected from the Web of Science and Scopus databases to suggest the main scholars' policy recommendations to implement OI among SMEs.

Results indicated that scholars' policy recommendations for OI adoption in SMEs can be organized into: research and development (R&D), networking, collaboration, knowledge and intellectual property rights (IPR), ecosystem, managerial capabilities, funding and incentives and sustainability policies.

Only relevant articles about this topic have been included due to the reliance on the interpretations of the authors. The analysis of the literature revealed that the authors did not always distinguish policies dedicated to SMEs and those dedicated to large companies. Moreover, policies are not matched according to each OI dimensions (e.g. inbound, outbound and coupled OI).

The article uses a systematic literature review method that combines qualitative and quantitative analyses. This method contributes to theoretical development of OI policies dedicated, in particular to SMEs. This paper also provides policymakers and researchers with insights on the scope of OI policies that could support economic growth.

Policy analysis derives from a long tradition of assessing the activities of government. The most sophisticated analyses are distinguished by their concern to identify linkages between variables that represent causes and effects of social conditions, or the impacts to be expected from policy details. Inherent in their sophistication are methodological choices which invite dispute. Because of the controversies they generate, such analyses may contribute more to the knowledge about policy making than to the support of policy options.

The purpose of this paper is to present a composite framework for critical policy analysis drawing from discourse analysis and post-structuralist analysis. Drawing on an interpretive paradigm (Yanow, 2014), this paper provides a thick description (Geertz, 1973) of the processes involved in the application of these tools in a critical policy analysis project, focusing on disability policy within the Irish context. Methodologically, this is a resourceful cross-fertilization of analytical tools to interrogate policy, highlighting its potential within critical disability policy analysis and beyond.

Merging a critical discourse analysis framework and a policy problematization approach, the combination of tools presented here, along with their associated processes, is referred to as the critical discourse problematization framework.

Potentially, the framework can also be employed across a number of cognate social policy fields including education, welfare and social justice.

The value of this paper lies in its potential to be used within analytical practice in the field of critical (disability) policy work by offering an evaluation of the analytical tools and theoretical framework deployed and modeled across an entire research process.

The framework has the potential and has been used successfully as a tool for disability activism to influence policy development.

The analytical framework presented here is a methodically innovative approach to the study of policy analysis, marrying two distinct analytical tools to form a composite framework for the study of policy text.

The purpose of this paper is to examine Nick Moore’s information policy matrix and how it has been used by Moore and others.

This study involved secondary search and a bibliographic study of the impact Moore’s work has had on other authors.

It is clear that there have been two quite separate trains of research in information policy, one in the USA and one in Europe, and that it appears from the literature that there is limited awareness of each other’s work. Focusing on the UK and European research, the papers the authors inspected that report information policy analyses make no mention of Moore’s work. It could be argued that Moore’s matrix is too simplistic for such a complex topic as information policy, but it may also be the case that there is a lack of awareness of how the matrix can be used in policy analysis as Moore’s published papers were general descriptions of the matrix, reported the findings of his analyses or suggested policy goals. Moore did not publish theoretical or methodological papers to explain how to go about policy analysis using his matrix.

This study is based on secondary research and bibliographic analysis. Furthermore, primary research could have revealed deeper insights into use and impact of Moore’s framework by analysts and policy makers.

The paper highlights potential opportunities for international collaboration on information policy research, to explore more deeply theoretical models that could be used to underpin policy analysis as well as the potential value of Moore’s matrix.

Academic research into entrepreneurship policy is particularly interesting due to the increasing relevance of the topic and since knowledge about the evolution of themes in this field is still rather limited. The purpose of this paper is to analyse the key concepts, topics, trends and shifts that have shaped the entrepreneurship policy research agenda during the period 1990–2016.

This paper uses text mining techniques, cluster analysis and complementary bibliographic data to examine the evolution of a corpus of 1,048 academic papers focused on entrepreneurship-related policies and published during the period 1990–2016 in ten relevant journals. In particular, the paper follows a standard text mining workflow: first, as text is unstructured, content requires a set of pre-processing tasks and then a stemming process. Then, the paper examines the most repeated concepts within the corpus, considering the whole period 1990–2016 and also in five-year terms. Finally, the paper conducts a k-means clustering to divide the collection of documents into coherent groups with similar content. The analyses in the paper also include geographical particularities considering three regional sub-corpora, distinguishing those articles authored in the European Union (EU), the USA and South and Eastern Asia, respectively.

Results of the analysis show that inclusion, employment and regulation-related papers have largely dominated the research in the field, evolving from an initial classical approach to the relationship between entrepreneurship and employment to a wider, multidisciplinary perspective, including the relevance of management, geographies and narrower topics such as agglomeration economics or internationalisation instead of the previous generic sectorial approaches. The text mining analysis also reveals how entrepreneurship policy research has gained increasing attention and has become both more open, with a growing cooperation among researchers from different affiliations, and more sophisticated, with concepts and themes that moved the research agenda forward, closer to the priorities of policy implementation.

The paper identifies main trends and research gaps in the field of entrepreneurship policy providing actionable knowledge by presenting the spectrum of both over-explored and understudied research themes in the field. In practical terms the results of the text mining analysis can be interpreted as a compass to navigate the entrepreneurship policy research agenda.

The paper presents the heterogeneity of topics under research in the field, reinforcing the concept of entrepreneurship as a multidisciplinary and dynamic domain. Therefore, the definition and adoption of a certain policy agenda in entrepreneurship should consider multiple aspects (needs, objectives, stakeholders, expected outputs, etc.) to be comprehensive and aligned with its complexity. In addition, the paper shows how text mining techniques could be used to map the research activity in a particular field, contributing to the challenge of linking research and policy.

The exploratory nature of text mining allows us to obtain new knowledge and reveals hidden patterns from large quantities of documents/text data, representing an opportunity to complement other qualitative reviews. In this sense, the main value of this paper is not to advise on the future configuration of entrepreneurship policy as a research topic, but to unwrap the past by unveiling how key themes of the entrepreneurship policy research agenda have emerged, evolved and/or declined over time as a foundation on which to build further developments.

The purpose of this paper is to evaluate the international position of Estonia among the member states of the EU and countries closely associated with the EU, from the perspective of the effect of research and development (R & D) policy on innovation activities in the business sector.

Based on existing scientific research literature on the relationships between R & D policy and business sector R & D activities and innovation performance, a set of indicators describing R & D policy measures was created for the business sector. Using principal component analysis (PCA) method, independent robust dimensions of R & D policy were brought out. After eliminating the problem of multicollinearity in R & D policy indicators, robust multiple regression models were conducted to present a comprehensive empirical description of the shaping of business sector R & D and innovation activities in the sample of investigated countries.

Based on the literature, the influences of R & D policy measures on business sector R & D activities and innovation performance were systemised; public R & D policy dimensions were empirically defined; the intensity of R & D policy influence on business sector R & D activities was estimated; the differences between real and prognostic values of business sector performance indicators in Estonia were calculated in order to characterise the efficiency of Estonian R & D policy and the influence of the socioeconomic environment.

The lack of comparable data describing R & D policy and R & D activities and innovation performance in the business sector limits the comprehensiveness of the analysis (i.e. the number of analysed indicators).

The assessment and comparative analysis of the influence of R & D policy components on business sector R & D activities and innovation performance in different countries makes it possible to identify directions for increasing the efficiency of R & D policy under the specific influence of the socioeconomic environment, especially in new member states of the EU.

Using the PCA method significantly increased the robustness of the macro-quantitative description of R & D policy dimensions. By combining the set of new synthetic R & D policy indicators created by the PCA with the multiple regression analysis method, a significant increase in the robustness of model coefficients (i.e. the assessments of influence intensity) was achieved. These robust models create the basis for reliable empirical assessment of the influence of R & D policy and a comparative analysis of the results.