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Under the background of economic and technological globalization, all countries will pay attention to science and technology innovation policies. At this time, the era of innovation policy plays an important role. In order to thoroughly implement the spirit of the 19th National Congress of the Communist Party of China, earnestly innovate development concepts and strengthen the key supporting role of scientific and technological innovation for social development.

The research will make an in-depth study on the policy of scientific and technological innovation, take the change trend of the number of laws and regulations and the analysis of the basic content as the entry point, and classify it from five different aspects, such as the policy of scientific and technological system and mechanism, the policy of financial guidance, the policy of technological innovation of enterprises, the policy of scientific and technological talents, and the policy of intellectual property.

Through the comparison of the development history of science and technology policies at home and abroad, the development history of science and technology innovation policies under the special national conditions of China is obtained. Combining with the relevant basic theories of science and technology innovation system, designing from the publishing department, main content, and implementation subject, constructing a synergistic science and technology innovation system of “government, industry, university and research,” and forming an “integration of supply and demand” technology innovation framework will guide the development of China's science and technology innovation in the future.

The authors construct the policy framework of science and technology collaborative innovation based on the concept of science and technology innovation policies. The framework has realistic significance for its future development.

An important part of the Northwest Forest Plan was 1.2 billion dollars of community development assistance made available to northern California, Oregon, and Washington through the Northwest Economic Adjustment Initiative (NEAI). The NEAI developed a complex institutional structure to eliminate regional administrative gridlock and enable workers and families, businesses, communities, and tribes that depended on forest product-based economies to regain or improve their economic and social well-being. As part of an evaluation of NEAI that included 31 community case studies, institutional analysis gauged how the initiativeʼs institutional and organizational structure affected program implementation. This paper examines how the institutional analysis complemented the community case studies, the use of Schneider and Ingramʼs policy design framework as a tool for describing and assessing the initiativeʼs institutional design, and the lessons learned from the overall evaluation.

Disaster risk reduction is prominent in the international policy agenda, and the year 2015 brought together three international policy frameworks that contribute to disaster risk reduction (i.e. the Sendai framework for disaster risk reduction, the Sustainable Development Goals and Paris Climate Change Agreement – COP21). However, there is a dearth of effort at identifying and aligning the specific educational needs of built environment professionals with the three policy frameworks. This is needed to facilitate the incorporation of the contents of the policy frameworks into built environment professionals’ training. Therefore, this study aims to map the educational needs of built environment professionals with the core areas of the three international policy frameworks.

This study utilized CADRE (Collaborative Action towards Disaster Resilience Education) research project outcomes alongside the earlier mentioned three international policy frameworks. A comprehensive desk review was done to map the educational needs identified in the CADRE project with the core priority areas of the three policy frameworks.

The study revealed the educational needs that are significant towards an effective implementation of the core priority areas of the three international policy frameworks.

This study would be beneficial to the built environment professionals involved in disaster risk reduction. They will be aware of the specific knowledge areas that would aid the successful implementation of the aforementioned three international policy frameworks.

The outcomes of the study would be beneficial to higher education providers in disaster risk reduction and sustainable development. It has identified the knowledge and competency gaps needed to be bridged in the curricula to meet the demands created by the international policy frameworks.

This study aims to analyze the socio-ecological policy trade-off caused by technological innovations in the post-COVID-19 era. The study outcomes are utilized to design a comprehensive policy framework for attaining sustainable development goals (SDGs).

Study is done for 100 countries over 1991–2019. Second-generation estimation method is used. Innovation is measured by total factor productivity, environmental quality is measured by carbon dioxide (CO₂) emissions and social dimension is captured by unemployment.

Innovation–CO₂ emissions association is found to be inverted U-shaped and innovation–unemployment association is found to be U-shaped.

The study outcomes show the conflicting impact of technological innovation leading to policy trade-off. This dual impact of innovation is considered during policy recommendation.

The policy framework recommended in the study shows a way to address the objectives of SDG 8, 9 and 13 during post-COVID-19 period.

Policy recommendations in the study show a way to internalize the negative social externality exerted by innovation.

This study contributes to the literature by considering the policy trade-off caused by innovation and recommending an SDG-oriented policy framework for the post-COVID-19 era.

The retail revolution swing from traditional distribution to e-tailing services and unprecedented increase in internet adoption insist practitioners to diversely plan warehousing strategies. More than practically required storage space has been identified as wastes, and also it does not improve performance. An organized framework integrating storage design policies, operational performance and customer value improvement for retail-distribution management is lacking. Therefore, the purpose of this paper is to develop broad guidelines to design the “just-right” amount of forward area, i.e., “lean buffer” answering the following questions: “What should be lean buffer size? How effective the forward area is? As per demand variations, which storage waste (SKU) should be allocated with how much storage space? What is the amount of storage waste (SW)? How smooth the material flow is in between reserve-forward area?” for storage allocation in cosmetics distribution centers.

After forecasting static storage allocation between two planning horizons, if a particular SKU is less or non-moving, then it will cause SW, as the occupied location can be utilized by other competing SKUs, and also it impedes material flow for an instance. A dynamically efficient and self-adaptive, knapsack instance based heuristics is developed in order to make effective storage utilization.

The existing state-of-the-art under study is supported with a distribution center case, and the study investigates the need of a model adopting lean management approach in storage allocation policies along with test results in LINGO. The sensitivity analysis describes the impact of varying demand and buffer size on performance. The results are compared with uniform and exponential distributed demands, and findings reveal that the proposed heuristics improves efficiency and reduce SWs in forward-reserve area.

The presented model demonstrates a novel thinking of lean adoption in designing storage allocation strategy and its performance measures while reducing wastes and improving customer value. Future research issues are highlighted, which may be of great help to the researchers who would like to explore the emerging field of lean adoption for sustainable retail and distribution operations.

Over the past decade, many small‐ and medium‐sized enterprises have incurred dramatic losses due to major disasters, causing loss of their business information systems and transaction data, so, they have started to outsource their information operations to data centers (DCs), in order to monitor critical business data operations. The purpose of this paper is to propose a dual‐sided business data integrity policy framework.

Based on a review of the available literature, case studies, and in‐depth interviews with top CEOs and experts in the field, a fuzzy Delphi method is proposed in two frameworks. In addition, a risk evaluation rule is derived by applying Bayesian decision analysis to mitigate the risk and lower the cost in their outsourcing policy; and Delphi method is used to extract 11 DC service quality evaluation indicators and also use these indicators to conduct a benchmark in Taiwan. Furthermore, the proposed framework is applied to figure out critical service advantages as well as suggestions for the DC involved in the benchmark.

The results of framework point out that enterprises should monitor the four operation elements (facility and infrastructure, server system management, information security management, and disaster recovery (DR) mechanism) to ensure and improve their data integrity; and DC firms need to build robust facilities and services in the five operation elements (customizability, serviceability, information technology infrastructure, security management, and knowledge intensity).

This paper uses a hybrid Delphi‐Bayesian method to propose a new framework, which is adequately integrated with the consensus of experts and business decision makers; higher professionalism and content validity are achieved. Enterprises can use these indicators to evaluate the service quality of DCs among DC firms.

Research on measures to strengthen the implementation of indoor environmental quality (IEQ) principles has been scarce in developing countries such as Nigeria. Hence, this study sought to identify and assess the crucial measures for encouraging the adoption of IEQ principles in the Nigerian construction industry, specifically from the viewpoint of quantity surveyors.

To accomplish this objective, a quantitative research methodology was employed, utilizing a well-structured questionnaire distributed to quantity surveying (QS) firms in Nigeria. The collected data were examined using a range of statistical techniques such as frequencies, percentages, mean item scores (MISs), the Kruskal–Wallis test and exploratory factor analysis.

The top five ranked measures were as follows: offer financial incentives and tax breaks, develop educational materials and resources, establish clear and accessible reporting mechanisms, develop awards and recognition programs and provide advocacy and awareness campaigns. Factor analysis led to the categorization of the identified measures into four primary clusters: education and training, policy and regulation, incentivization and recognition and collaboration and networking. Consequently, these clusters were renamed the EPIC (Education and training, Policy and regulation, Incentivization and recognition and Collaboration and networking) framework, with each first letter representing a significant measure for fostering the adoption of IEQ principles.

Consequently, this study offers a robust foundation for understanding and implementing measures to enhance the adoption of IEQ principles within the Nigerian construction industry, ultimately benefiting stakeholders and improving the quality of built environments.

The EPIC framework designed in this study offers valuable insights for policymakers, construction industry professionals and other stakeholders interested in promoting IEQ principles, which can potentially lead to healthier, more comfortable and more sustainable built environments in Nigeria and beyond.

This study aims to explore the current Green practices implemented in Malaysia higher education institutions toward sustainability attainment by developing a multi-disciplinary comprehensive policy framework to further extend the collaboration among sustainability practitioners in providing integrated data on Green indicators linked to economic, social and environmental dimensions of sustainability in higher education institutions.

Primary data which comprises of sustainability archival documents from sixteen universities in Malaysia was used to explore the extent of Green practice for sustainability. In addition, this study also used secondary data from existing literature on sustainable development in Malaysia higher education institutional context.

Findings from the examined 16 universities and prior sustainability studies in Malaysia universities suggest that higher education institutions in Malaysia are presently implementing Green practices in their university campuses toward attaining sustainability.

Qualitative data is only collected from higher education institutions in Malaysia. Hence, findings from this study cannot be generalized to universities in other countries.

This study provides insights toward infusing Green campus paradigms from a technological perspective to facilitate the exchange of information between sustainability practitioners to produce innovative solutions for addressing sustainability challenges.

This research developed a policy framework that provides trans-disciplinary approach to be adopted by higher education institutions in Malaysia and further beyond toward attaining sustainability. Socially, this study provides Green indicators that act as a reference manual and road map toward sustainable development in higher education institutions.

A novel multi-disciplinary comprehensive policy framework is developed grounded on identified Green indicators integrated to provide information on how sustainability practitioners can implement Green practices paradigms across universities. Furthermore, the Green indicators can be used as metrics to provide data for Green practice measurement and monitoring in higher education institutions.

Who leads and the purpose of public leadership matter. The aim of this viewpoint essay is to examine the fundamentals of public policy design and implementation as well as contemporary public leadership from a new approach inspired by the 2030 Agenda. This work provides a more humanistic and fruitful approach to public leadership, which is crucial in the current context of social division, turbulent politics and weak and infertile leadership.

This viewpoint essay is based on academic literature as well as on institutional reports to explore the 2030 Agenda's potential when it comes to outlining a new style of public leadership.

The 2030 potential has always been analyzed from the different synergies that can be established from the 17 Sustainable Development Goals (SDGs). Nevertheless, this essay proposes to separate from the mainstream discourse by outlining six core properties of the 2030 Agenda as key elements that implicate a new roadmap in the design and evaluation of public policies and contribute in a disruptive way to conceive public leadership.

This essay offers an innovative leadership framework that integrates key elements from the 2030 Agenda perspective with theoretical and practical notions of policy-making and public leadership to overcome the main challenges of the present and future days.

This paper presents an actor-based conceptualization of the increasing oscillatory pattern of prison overcrowding in Colombia. The research proposes a dynamic hypothesis that explains that unintended behavioural pattern as a result of delayed balance feedback loops shaped by decision-making processes of actors that intend to control crime. This system matches a well-known systemic archetype that explains those persistent oscillations. The paper also introduces a simulation model for testing that dynamic hypothesis and for delivering concrete courses of action. This work illustrates the relevance for policymakers to understand the dynamic complexity of social systems as the outcome of the agency of actors who take action to defend their own interests. Such actions ultimately form a complex web of interactions that drive the performance of such systems with unintended consequences. In particular, the construction of explicit models provides better chances of devising policies that consider the system-level implications of those interactions.

This work uses system dynamics modelling. First, the paper presents a conceptual model anchored in operational thinking, which refers to the identification of actors and decisions, and the manner in which those decisions ultimately build the respective social system in which the oscillatory pattern emerges. Second, it identifies key feedback structures that result from those chains of decisions. Finally, the paper introduces a simulation model for suggesting policy implications for decisionmakers.

The increasing oscillatory pattern that prison overcrowding in Colombia has displayed over the last 20 years is the outcome of a wide variety of laws that increase sanctions on criminal conducts, a phenomenon known as “legislative inflation”. Such reactions against crime are propelled and sustained by society and policymakers as the result of static and linear thinking that simply delivers “more punishment” of crime – harsher legislation and longer prison terms – which ultimately boosts long-term prison overcrowding and further cycles of crime control and overcrowding. Such actions create permanent negative feedback loops that involve various material and information delays, which – coupled with the reinforcing feedback loops – explain the previously mentioned behavioural pattern. Through a system dynamics simulation model, this paper tests and explains the proposed dynamic hypothesis and shows how policymakers can enhance and develop their dynamic understanding to explore and design effective policies intended to tackle prison overcrowding.

This paper presents a practical and concrete case that bridges the fields of criminal policy and prison management through systems thinking. It uses the case of prison overcrowding in Colombia to demonstrate the relevance of incorporating systemic thinking into the cognitive portfolio of policymakers if they aspire to improve complex systems.

Criminal policy and prison management are different fields that typically belong to different traditions (law and criminal psychology for the former, public administration for the latter). The work presented here bridges those perspectives under a single engineering and systemic perspective that answers questions in both fields and serves as a unifying framework for designing more coherent criminal policies that meet the practical requirements and restrictions that prison management implies.