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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.

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.

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.

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.

For sociological perspectives on globalization to do justice to its many facets, they must be informed by an understanding of modern societies as simultaneously complex, contingent, and contradictory – as modern capitalist societies. As is becoming ever more apparent, such an understanding of modern societies is the necessary precondition for identifying the defining features of globalization. Yet, for the most part, the history of the social sciences did not produce research agendas, theories, and methods designed to grasp complexity, contingency, and contradiction as core dimensions of modern social life that continually reinforce each other. The social sciences did not evolve as ongoing efforts to grasp the gravity each dimension exerts on concrete forms of political, economic and cultural life, and how the force of each depends on the constant exchange of energy with the other two. To the extent that scrutinizing the impact of globalization on the future – and possible futures – of human civilization is the primary challenge for social scientists to confront today, the current condition presents a unique, and perhaps most unusual opportunity to conceive anew the promise of each and all the social sciences, as elucidating how the complex, contingent, and contradictory nature of modern societies, in the name of advancing social justice, has engendered a regime of managing “social problems.”

For perspectives on globalization to do justice to its many facets, they must be informed by an understanding of modern societies as simultaneously complex, contingent, and contradictory – as modern capitalist societies. As is becoming ever more apparent, such an understanding of modern societies is the necessary precondition for identifying the defining features of globalization. Yet, for the most part, the history of the social sciences did not produce research agendas, theories, and methods designed to grasp complexity, contingency, and contradiction as core dimensions of modern social life that continually reinforce each other. The social sciences did not evolve as ongoing efforts to grasp the gravity each dimension exerts on concrete forms of political, economic, and cultural life, and how the force of each depends on the constant exchange of energy with the other two. To the extent that scrutinizing the impact of globalization on the future – find possible futures – of human civilization is the primary challenge for social scientists to confront today, the current condition presents a unique, and perhaps most unusual opportunity to conceive anew the promise of each and all the social sciences, as elucidating how the complex, contingent, and contradictory nature of modern societies, in the name of advancing social justice, has engendered a regime of managing “social problems.”

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.