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This paper aims to use text mining methods to explore the similarities and differences between countries’ national digital transformation (DT) and Industry 4.0 (I4.0) policies. The study examines the applicability of text mining as an alternative for comprehensive clustering of national I4.0 and DT strategies, encouraging policy researchers toward data science that can offer rapid policy analysis and benchmarking.

With an exploratory research approach, topic modeling, principal component analysis and unsupervised machine learning algorithms (k-means and hierarchical clustering) are used for clustering national I4.0 and DT strategies. This paper uses a corpus of policy documents and related scientific publications from several countries and integrate their science and technology performance. The paper also presents the positioning of Türkiye’s I4.0 and DT national policy as a case from a developing country context.

Text mining provides meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, aligned with their geographic, economic and political circumstances. Findings also shed light on the DT strategic landscape and the key themes spanning various policy dimensions. Drawing from the Turkish case, political options are discussed in the context of developing (follower) countries’ I4.0 and DT.

The paper reveals meaningful clustering results on similarities and differences between countries regarding their national I4.0 and DT policies, reflecting political proximities aligned with their geographic, economic and political circumstances. This can help policymakers to comparatively understand national DT and I4.0 policies and use this knowledge to reflect collaborative and competitive measures to their policies.

This paper provides a unique combined methodology for text mining-based policy analysis in the DT context, which has not been adopted. In an era where computational social science and machine learning have gained importance and adaptability to political and social science fields, and in the technology and innovation management discipline, clustering applications showed similar and different policy patterns in a timely and unbiased manner.

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.

The purpose of this paper is to identify the historical trends and status of the national development of artificial intelligence (AI) from a nationwide perspective and to enable governments at different administrative levels to promote AI development through policymaking.

This paper analyzed 248 Chinese AI policies (36 issued by the state agencies and 212 by the regional agencies). Policy bibliometrics, policy instruments and network analysis were used to reveal the AI policy patterns. Three aspects were analyzed: the spatiotemporal distribution of issued policies, the policy foci and instruments of policy contents and the cooperation and citation among policy-issuing agencies.

Results indicate that Chinese AI development is still in the initial phase. During the policymaking processes, the state and regional policy foci have strong consistency; however, the coordination among state and regional agencies is supposed to be strengthened. According to the issuing time of AI policies, Chinese AI development is in accordance with the global situation and has witnessed unprecedented growth in the last five years. And the coastal provinces have issued more targeted policies than the middle and western provinces. Governments at the state and regional levels have emphasized familiar policy foci and played the role of policymakers, along with regional governments that also functioned as policy executors as well. According to the three-dimension instruments coding, the authors found an uneven structure of policy instruments at both levels. Furthermore, weak cooperation appears at the state level, while little cooperation is found among regional agencies. Regional governments cite state policies, thus leading to the formation of top-down diffusion, lacking bottom-up diffusion.

The paper contributes to the literature by characterizing policy patterns from both external attributes and semantic contents, thus revealing features of policy distribution, contents and agencies. What is more, this research analyzes Chinese AI policies from a nationwide perspective, which contributes to clarifying the overall status and multi-level relationships of policies. The findings also benefit the coordinated development of governments during further policymaking processes.

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.

The purpose of this study is to investigate the extent to which TQM has influenced the legal system in Australia, an area seldom investigated in the quality or legal literature.

Documentary and policy analysis of legislation, rules and rulemaking documentation based on a partial application of historical-policy analysis (HPA). Textual analysis was based on Dean and Bowen's (1994) definition of TQM and Vinni's (2007) review of new public management and Swiss (1992) “reformed TQM” concepts.

Australia's Tertiary Education Quality and Standards Agency Act of 2011 and supporting legal documents such as Guidance Notes include language reflective of TQM principles, providing evidence that present-day administrative law schemes include TQM practices and tools to undergird procedures of regulatory expectations (sometimes in the form of standards), monitoring and general operations. Oftentimes, it is the supporting legal documentation where TQM practices are found and operationalized.

This is a proof-of-concept research study to determine the feasibility to identify TQM concepts within the existing language of legal statutes and supporting regulatory documentation. As such this study worked out the preliminary research challenges in performing this type of analysis.

Understanding TQM's impact on legal systems expands the system's perspective of organizations that do not always factor in the influence government policy has on organizational behaviours and outlooks. More specifically, understanding TQM's influence sheds insight on regulatory requirements imposed on a sector and the normative aspects of regulatory compliance that impact the operations and strategic planning of organizations.

The article provides an example of how legal administrative rulemaking influences organizational operational and strategic activities to remain viable in the organization's business or industrial sector.

There are few research papers or literature reviews pertaining to the subject of TQM concepts embedded in laws and regulations, most of which date from the 1980s through early 2000s.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

This study highlights the crucial significance of stakeholder participation in the creation of a comprehensive energy and electrical master plan for Mozambique. The purpose of this study is to deliver a practical insights that transcend theoretical concerns by digging into the subtleties of stakeholder relationships and strategic collaborations, paving the path for pragmatic and meaningful solutions that connect with real-life conditions. This debate lays the groundwork for educated decision-making, propelling Mozambique’s energy industry towards a more sustainable and prosperous future.

The study used a combined approach of stakeholder analysis (SA) and social network analysis (SNA) to enhance our understanding of the stakeholder landscape in Mozambique’s energy sector. This methodological approach offers a unique vantage point to examine the individual stakeholders’ roles and the intricate web of connections, partnerships, collaborations and information-sharing activities. By integrating SA and SNA, this study aims to provide a more comprehensive and dynamic depiction of stakeholder interactions, contributing methodologically to the existing body of literature.

The findings also highlight the need to develop frameworks that promote private investment and joint endeavours with entities such as Cahora Bassa Dam/Mozambique Transmission Company. A consistent legal framework ensures uniform performance and a robust monitoring system for ongoing projects, improving accountability and progress tracking. Furthermore, the discussion includes enhancing the competence of the regulatory agency regulating the electricity industry. This includes tackling complex concerns with electricity pricing and other regulatory aspects relevant to private investment. A highly empowered regulatory agency is critical to creating an atmosphere conducive to long-term private sector involvement.

While the study emphasises the need to integrate multiple stakeholders, it may not detail specific issues or impediments that may develop during the engagement process. Additional research could look into potential tensions or barriers to effective collaboration. Furthermore, the study emphasises the necessity of addressing environmental impacts; it must thoroughly examine specific environmental concerns such as carbon emissions, deforestation or renewable energy possibilities. Future research could assess the suggested policies’ environmental impact more extensively. Additionally, while the conclusion briefly mentions economic prosperity, a more thorough consideration of the possible economic and social implications of various energy policies could provide a greater understanding of their practicality and potential benefits.

In terms of practical contributions, this study aspires to shed light on how stakeholder interactions can shape energy policy interventions that ensure reliable and affordable energy sources for economic development and societal well-being. By unveiling the complex network of relationships and partnerships, this study seeks to provide actionable insights for policymakers, industry players and other stakeholders involved in Mozambique’s energy sector. By taking this action, this research aims to pave the way for more effective and inclusive energy policies that align with circular economy principles, thus addressing a critical need in scholarly discourse and practical implementation.

The study underscores the critical role of energy stakeholders in shaping energy policies and projects, given their influential positions and impact on decision-making processes. While existing literature acknowledges this influence, a discernible research gap exists in comprehensively understanding how stakeholder interactions and collaborations in the energy sector affect policy interventions within a context such as Mozambique. This study seeks to bridge this gap by delving into the intricacies of stakeholder involvement and its implications for energy policy development in Mozambique.

Family policy is an area where policy transfer has garnered a lot of attention lately. A growing body of research demonstrates policymakers' interest in and willingness to adopt foreign family policies. However, previous studies have tended to neglect the second mechanism of policy transfer: resistance. This manuscript aims to address this research gap by exploring both the willingness and resistance to policy transfer in Czech and Korean childcare and leave policies.

This study employs a qualitative research design, incorporating structured expert interviews instrumental in in-depth thematic analysis.

The analysis shows that policymakers in both countries demonstrated interest and willingness to transfer family policies, albeit employing different strategies and to varying extents. Moreover, the two countries exhibited significant differences in resistance to family policy transfer, with resistance in the Czech Republic being more frequent and effective. Resistance is directed towards both forced and voluntary transfers, although it isn't always against transfers that require a paradigm change. Policy transfer and non-transfer can concurrently be perceived as threats.

The study concludes that integrating both policy transfer and resistance in the analyses helps to shed light on cross-national differences in family policy change and contributes to a more nuanced portrayal of the world of policy transfer in this policy field.

The purpose of this paper is to analyze the impact of the off-office audit of natural resource assets on the prevention and control of water pollution against a background of big data using a differences-in-differences model.

This study constructs a differences-in-differences model to evaluate the policy effects of off-office audit based on panel data from 11 cities in Anhui Province, China, from 2011 to 2017, and analyzes the dynamic effect of the audit and intermediary effect of industrial structure.

The implementation of the audit system can effectively reduce water pollution. Dynamic effect analysis showed that the audit policy can not only improve the quality of water resources but can also have a cumulative effect over time. That is, the prevention and control effect on water pollution is getting stronger and stronger. The results of the robustness test verified the effectiveness of water pollution prevention and control. However, the results of the influence mechanism analysis showed that the mediating effect of the industrial structure was not obvious in the short term.

These findings shed light on the effect of the off-office audit of natural resource assets on the prevention and control of water pollution, and provide a theoretical basis for the formulation of relevant environmental policies. Furthermore, these findings show that the implementation of the audit system can effectively reduce water pollution, which has practical significance for the sustainable development of China's economy against the background of big data.

This study quantitatively analyzes the policy effect of off-office auditing from the perspective of water resources based on a big data background, which differs from the existing research that mainly focuses on basic theoretical analysis.