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How analysts make recommendations to the budget director and governor depends partly on the nature of the state budget office (SBO). This paper contrasts the development of a budget recommendation in an office with a strong policy orientation with recommendations fashioned in an office with a strong control orientation. One important difference is that control oriented analysts focus almost exclusively on the technical and legal facets of budget problems, whereas their policy oriented counterparts spend considerable time on the social, legal, and political (SLP) facets. The SLP framework enables the policyoriented analysts to apply economic rationality to evaluate requests and make recommendations that are consonant with the governor’s policy agenda.

This study asks whether external auditors enable the transfer of policies to the United Nations organizations that they audit and, if so, what types of policies are transferred.

The empirical research is based on a content analysis of 512 external auditor recommendations from 28 pre- and post-accrual reports of 14 UN bodies.

We find that external auditors do enable policy transfer and that such involvements may, at times, veer into non-neutral policy spaces.

We did not analyze all UN organizations with accruals-based accounting. We also did not engage in a longer longitudinal study.

Our findings raise new questions about international organization accountability, the technocratic and policy-specific influences of external auditors, and open a debate about whether attempted policy transfers can be neutral.

The world’s largest group of international organizations is affiliated with the UN. External auditors help ensure that member-state monies are appropriately utilized. Our study is the first to compare pre- and post-accrual external auditor recommendations for 14 UN bodies. It is also the first to notate and study the attempted policy transfers from external auditors to the audited UN bodies.

The aim of this paper is to integrate an augmented version of the Thompson et al. model of enterprise policy, delivery, practice and research with services marketing models including SERVQUAL and strategic conversations; and demonstrate a practical application of the analysed through the application of N-Vivo qualitative data classification software to create more satisfying enterprise policy recommendations that better reflect the voices of SMEs and other stakeholders.

A five-stage iterative process model to integrate stakeholder input into enterprise policy recommendations is developed through integrating services marketing theory and the Thompson et al. model into a field study of community conversations hosted by the Tasmanian Department of Economic Development, Tourism and the Arts, Regional Development Australia's Tasmanian committee, and local governments.

The five-stage iterative model leverages strategic conversations, analysis (through N-Vivo), comments and revisions, recommendation co-creation, and policy assessment using SERQUAL to craft more satisfying policy recommendations.

The first limitation was the time and costs associated with conducting the community consultation workshops and analysing the data. The second limitation was the inability to craft policy quickly in response to a changing environment due to the time taken to collect and transcribe the data, undertake the analysis, and develop and report policy recommendations. The third limitation was the complexity of coordinating three levels of government, which took time and effort because each level had different interests and time frames and were at times distracted by other priorities.

This paper contributes to better enterprise policy by providing a process model developed using both theory and a field study to illustrate how policy makers can co-develop policy that is more satisfying to policy stakeholders.

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.

English original movies played an important role in English learning and communication. In order to find the required movies for us from a large number of English original movies and reviews, this paper proposed an improved deep reinforcement learning algorithm for the recommendation of movies. In fact, although the conventional movies recommendation algorithms have solved the problem of information overload, they still have their limitations in the case of cold start-up and sparse data.

To solve the aforementioned problems of conventional movies recommendation algorithms, this paper proposed a recommendation algorithm based on the theory of deep reinforcement learning, which uses the deep deterministic policy gradient (DDPG) algorithm to solve the cold starting and sparse data problems and uses Item2vec to transform discrete action space into a continuous one. Meanwhile, a reward function combining with cosine distance and Euclidean distance is proposed to ensure that the neural network does not converge to local optimum prematurely.

In order to verify the feasibility and validity of the proposed algorithm, the state of the art and the proposed algorithm are compared in indexes of RMSE, recall rate and accuracy based on the MovieLens English original movie data set for the experiments. Experimental results have shown that the proposed algorithm is superior to the conventional algorithm in various indicators.

Applying the proposed algorithm to recommend English original movies, DDPG policy produces better recommendation results and alleviates the impact of cold start and sparse data.

Most feminists policies are aspirational. Deficiencies include vague terms of what constitutes ‘feminist’ within policy, ambiguous investment criteria, lack of consultation and the use of the binary definition of gender negating gender-diverse people (Tiessen, 2019). The purpose of this study is to identify parameters that characterize feminist entrepreneurship policies and to advance recommendations to operationalize these policies.

The COVID-19 pandemic has unveiled fragilities in the socio-economic gains that women entrepreneurs have achieved. Gender-regression is, in part, the product of entrepreneurship policies that fail to recognize the nature and needs of women entrepreneurs. To inform recovery measures, this article considers two research questions: what are the parameters of feminist entrepreneurship policies? and how can parameters of feminist entrepreneurship policy be operationalized in pandemic recovery measures? To inform the questions, the study draws on the academic literature and thematic analysis of three collective feminist action plans to operationalize ten parameters that characterize feminist entrepreneurship policy.

Supplanting ‘feminist’ for women in the construction of entrepreneurship policies, without specifications of how parameters differ dilutes government's efforts to achieve gender quality and women's economic empowerment. To inform policy, recommendations of three feminist recovery policies clustered under seven themes: importance of addressing root causes of inequality; need to invest in social and economic outcomes; economic security; enhancing access to economic resources; investment in infrastructure; inclusive decision-making; and need for gender disaggregated data to inform policy. Differences in policy priorities between collective feminist recovery plans and the academic literature are reported.

The parameters of feminist entrepreneurial policy require further interpretation and adaptation in different policy, cultural and geo-political contexts. Scholarly attention might focus on advisory processes that inform feminist policies, such as measures to address gender-regressive impacts of the COVID-19 pandemic. Research is also needed to understand the impacts of feminist policies on the lived experiences of diverse women entrepreneurs. Limitations: The study design did not incorporate viewpoints of policymakers or capture bureaucratic boundary patrolling practices that stymie feminist policies. Thematic analysis was limited to three feminist recovery plans from two countries.

Recommendations to operationalize feminist entrepreneurship policies in the context of pandemic recovery are described.

Ten parameters of feminist entrepreneurship policy are explored. The conceptual study also advances a framework of feminist entrepreneurship policy and considers boundary conditions for when and how the parameters are applicable.

The finding that immigrants are more likely to self-employ than natives has been consistently shown by different researchers. At the same time, many call for the prioritization of high-skilled immigration as they believe low-skilled entrepreneurs are not particularly innovative or high-growth-oriented. The purpose of this study is to critically review and synthesize the current literature on immigrant self-employment, paying particular attention to low-skilled immigrant entrepreneurship and the popular policy recommendation that high-skilled immigrants should be prioritized.

The authors survey the existing literature on immigrant self-employment and discuss recurring data issues, how those issues have or have not been addressed, as well as how these data issues impact the validity of policy recommendations that favor high-skilled immigrants and disfavor low-skilled immigrants. In particular, the authors examine how length of stay in the host country and host country institutions impact immigrant self-employment, especially low-skilled immigrant self-employment. The authors also point out unintended consequences of low-skilled immigration.

The authors find data issues significantly impact the potential justifications behind calls to favor high-skilled immigrants. In particular, many researchers underestimate the positive impacts of low-skilled immigrant self-employment by not accounting for institutions and length of stay in the host country. The authors conclude with policy recommendations that prioritize high-skilled immigration should be re-examined in light of recurring omitted variable biases within previous studies and evidence of a number of positive unintended consequences associated with low-skilled migration.

The authors review current literature and discuss how important confounding variables, like the number of years an immigrant entrepreneur has lived in a host country and the institutions of a host country, make common policy recommendations suggesting prioritization of high-skilled immigration problematic. The authors also discuss potential solutions to these data issues, ways these issues have been solved already, and possible ways forward. Finally, after considering the literature, the authors offer our own set of policy recommendations.

The Dignity and Older Europeans Research Group has produced a series of recommendations on policy. We propose that these recommendations should be considered by European legislators, national governments, professional organisations and all institutions and practitioners who provide services for older citizens.Our policy recommendations are inspired by the data gathered from focus groups, as well as by the theoretical reflections on the concept of ‘dignity’. This article introduces four core policy recommendations. The first reflects the rights of the older person, the second calls for the removal of ageism and ageist practices; the third concerns the regulatory frameworks needs in service provision and the fourth reflects the welfare entitlements of older people.

The purpose of this paper is to explore the emplotment of organizational grand-narratives of a leading international organization, the Organisation for Economic Co-operation and Development (OECD). The paper includes the reconstruction of the OECD’s inclusion approach as a prototype grand-narrative. Moreover, the main goal of this paper is understanding the reciprocal relationship between the organizational narratives and other organizational domains.

To study the structural process of emploting grand-narratives, which combines reciprocal dependencies across organizational domains, I have used process tracing, content analysis and interviews methodologies, for each domain. These methodologies were monitored by quantitative and qualitative analyses of the interactions among these domains. These methods allowed me to explore the interdependencies in the discursive and non-discursive ordering of institutional memory as a means for identifying the development of organizational narratives.

The findings of this paper confirm the reciprocal dynamics among and within three core organizational domains, narratives, organizational-epistemological settings and organizational products. These domains evolve constantly and concurrently in a three-phased process where a former organizational constellation is challenged, a consolidation takes place, and a new narrative is institutionalized. The context I chose to demonstrate this dynamic is the OECD evolving interactions between innerorganizational units and the organizational products (i.e. its activation policy recommendations), of the OECD post-Cold War inclusive approach (1989–2002).

The importance and complexity of the OECD as a global trendsetting organization, and the findings of this single case study are significant for their implications on trends and processes found in other complex grand-narratives. The transferability of these results would require further analysis.

The originality of this paper is using a transnational dynamic organization such as the OECD as the organizational model for understanding how organizations undergo emplotment processes. Moreover, this article’s analytical framework provides a deeper understanding of the complex interplay between the constraining structures and micro-level interactions.

As cities increasingly embrace smart technologies to enhance efficiency, sustainability and quality of life, integrating cybersecurity and data protection measures becomes paramount. This paper analyzes cybersecurity and data protection practices based on the existing strategies and projects in smart cities.

A research methodology involving searching for resources, content analysis and the Delphi method was developed to select the sample of smart cities, identify relevant resources, analyze and categorize their content, validate their relevance and transform them into a list of recommendations.

The findings include a validated list of 39 recommendations categorized into 6 categories for implementing robust cybersecurity and data protection measures in smart cities. We found that smart cities employ various measures to address cybersecurity and data protection, including technical solutions, organizational practices, policies and human resources initiatives. The smart economy and smart governance components are prioritized regarding data protection and cybersecurity measures, while smart living and smart environments receive less attention than others. There are regional differences in the implementation of cybersecurity measures, with Asia and Europe demonstrating higher levels of engagement.

The paper provides an approach to select sample smart cities and analyze their strategies and projects in different contexts to gather and validate best practices. The measures identified contribute to building sustainable and resilient cities regarding urban governance.