Plant Biology Experimental Courses in Universities: Status Quo, Limitations and Prospects

Plant biology, as a significant compulsory course for biological science students, is intuitive and practical, which plays a unique role in improving students' comprehensive quality and cultivating their innovation ability. Because of its strong practical characteristics, the experimental course is of great necessity in the study of this course. This paper analyzes the traditional teaching mode of plant biology experiment, as well as its shortcomings in modern teaching, and puts forward diversified reform methods based on the development of contemporary plant biology to promote the teaching mode of plant biology experiment to meet the needs of contemporary students on this subject. Based on the rapid development of modern science and technology, this paper includes the teaching contents, teaching methods, and assessment system of plant biology experiments, and discusses them respectively. This paper aims to improve the teaching efficiency of modern plant biology experiments and help to achieve the goal of efficiently improving students' innovation and scientific research ability.

Enhancing competitive advantage through knowledge sharing, absorptive capacity, and innovation capability

This study analyzes the relationship between knowledge sharing, absorptive capacity, and innovation ability to competitive advantage in Cafe and Modern Restaurant in Yogyakarta, Indonesia. This study is designed as a quantitative study with primary data obtained through the distribution of questionnaires. The population in this study was 1056 modern cafes and restaurants in Yogyakarta. Purposive sampling was conducted, and a sample of 213 respondents was selected from 89 modern cafes and restaurants in Yogyakarta that have adopted digital and have more than 500 Instagram followers. This study limits the sample to three positions: owner, manager, and supervisor. The data collected were analyzed using the structural equation model method using AMOS 24 software. This study indicates that knowledge sharing is an essential factor in increasing innovation ability and has been shown to significantly affect absorptive capacity and competitive advantage. This research also shows that innovation and absorptive capacity positively affect competitive advantage. The study results may help managers or owners of café and modern restaurants in Yogyakarta improve and develop innovation and competitive advantage in café and modern restaurants through knowledge sharing and absorptive capacity.

Measurement and spatiotemporal analysis of high-quality development of China’s industry

Background China’s economy has been transitioning from a phase of rapid growth to high-quality development. The high-quality development of industry is the foundation of a sustainable and healthy growth of national economy, and is of great significance to improve people’s living standards, and to meet people’s needs for a better life. Methods We develop an evaluation index system of high-quality development of industry from the perspectives of industrial benefit, innovation ability, coordination ability, green ability, opening ability and sharing ability. Based on a panel data of 30 provinces in China during 1999–2018, we evaluate the level of high-quality development of industry using the entropy-weight method and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method. Meanwhile we select six specific years and adopt the Natural Breaks method to classify the provinces according to their levels. At last, Moran’s I index is used to analyze the spatial correlation among the provinces. Results Opening ability and innovation ability are found to have greater impacts on industrial high-quality development than other indices, and their influence has been increasing in recent years. There are large spatial and temporal differences among different provinces. Municipalities and coastal provinces are found to be at constantly high levels. The levels in the central region dropped first and then increased, however it was the opposite in the western region. In the northeast region, the levels fluctuated greatly. Overall, the high-quality development of industry among China’s provinces shows positive spatial correlation. Most provinces in China are in High-High and Low-Low clustering States. The High-High clustering type is mainly distributed in the eastern region and the Low-Low clustering type is mainly distributed in the western and central regions. Conclusion (1) Innovation ability and open ability are the most important factors. (2) Green ability has not sufficiently contributed to China’s industrial development. (3) Regional and time evolution differences are significant. (4) There is a significant and stable spatial clustering effect in the high-quality development of industry among China’s provinces.

Study on Inventory Management Optimization of Small and Medium-sized Retail Companies in the Context of New Retail

The emergence of "New Retail" produces a great impact on the inventory management of retail companies. Using ASY company as the study object, this paper calculates weights of factors affecting inventory management with the Analytic Hierarchy Process (AHP) method to obtain the weight data of each factor before and after the New Retail appears. On this basis, it analyzes how New Retail affects the inventory management of ASY company. Besides, it offers optimization strategies and effect feedback indicators for the following problems faced by this company: pay less attention to delivery method and management system; poor incentive polices for employees; lay less stress on FMCG; too many goods are distributed by manufacturers; heavy workload; increased impact generated by fund restrictions; little knowledge about New Retail; make little efforts to improve employees' learning and innovation ability.

Building Innovation Capabilities on Collaboration and Market Orientation for Improving Marketing Performance of Wood Furniture Craft

This research aims to test the direct influence of market orientation and innovation capabilities collaboration, with relationship marketing orientation and excellence as mediating variables, on the marketing performance of the micro industry of wood furniture handicrafts. The data was collected using questionnaires submitted by 242 people, and the analysis was carried out using SmartPLS software. The significant impact of collaborative innovation ability and relational marketing orientation on market orientation was shown to have no effect on competitive advantage. The innovation capabilities of collaborating are known to have no significant impact on marketing performance. Competitive advantage has a relationship with marketing performance, and relational marketing orientation has a significant impact on the ability of collaborative innovation. It was also found that relationship marketing orientation has a significant effect on marketing performance. This study is related to improving the marketing performance of the micro industry of wood furniture handicrafts, which has a limited scope, so the results of this study can't be generalized. It was also difficult to determine if there was any bias from the respondents. The marketing orientation of relationships and competitive advantages have contributed significantly to marketing performance. The wood furniture handicraft micro industry must improve collaboration capabilities with dealers and customers and use this as a strategic component to improve the marketing performance of the woodcraft industry. The novelty of this research is related to the capability of collaboration innovation, which is able to improve the marketing performance of small industries.

Analysis on the related factors of China's technological innovation ability using greyness relational degree

PurposeIn order to make grey relational analysis applicable to the interval grey number, this paper discusses the model of grey relational degree of the interval grey number and uses it to analyze the related factors of China's technological innovation ability.Design/methodology/approachFirst, this paper gives the definitions of the lower bound domain, the value domain, the upper bound domain of interval grey number and the generalized measure and the generalized greyness of interval grey number. Then, based on the grey relational theory, this paper proposes the model of greyness relational degree of the interval grey number and analyzes its relationship with the classical grey relational degree. Finally, the model of greyness relational degree is applied to analyze the related factors of China's technological innovation ability.FindingsThe results show that the model of greyness relational degree has strict theoretical basis, convenient calculation and easy programming and can be applied to the grey number sequence, real number sequence and grey number and real number coexisting sequence. The relational order of the four related factors of China's technological innovation ability is research and development (R&D) expenditure, R&D personnel, university student number and public library number, and it is in line with the reality.Practical implicationsThe results show that the sequence values of greyness relational degree have large discreteness, and it is feasible and effective to analyze the related factors of China's technological innovation ability.Originality/valueThe paper succeeds in realizing both the model of greyness relational degree of interval grey number with unvalued information distribution and the order of related factors of China's technological innovation ability.

Research on Cultivating Students' Innovative Ability in College Physical Education based on Knowledge Graph

As a new learning method rooted in the Internet and big data, knowledge graph can exercise people's sensitivity and activity of thinking, and plays an important role in cultivating students' innovation ability. However, at present, there are few studies on the combination of knowledge graph and innovation ability. Therefore, this study chooses to combine knowledge graph with college physical education (P.E.) students' innovation ability to carry out research in the field of education. In college P.E., by analyzing the factors that restrict the cultivation of students' innovative ability, this paper puts forward some methods to cultivate students' innovative ability, such as changing educational concepts, innovating teaching contents and teaching methods, adjusting evaluation methods, and innovating teaching modes, to make students become high-quality talents with all-round physical and mental development and the needs of modern society. Therefore, it is necessary to continuously deepen the educational reform, so that students can continuously improve their interest in P.E. and their innovative ability can be stimulated to a greater extent.

Could Government Data Openness Enhance Urban Innovation Capability? An Evaluation Based on Multistage DID Method

The wave of government data opening has gradually swept the world since it rose from the United States in 2009. The purpose is not to open government data, but to release data value and drive economic and social development through data accessibility. At present, the impact of academic circles on government open data mostly stays in theoretical discussion, especially due to the lack of empirical tests. Using the multistage difference-in-difference (DID) model, this paper analyzes the panel data from 2009 to 2016 by taking two batches of Chinese cities with open data released in 2014 and 2105 as samples to test the impact of government data opening on urban innovation ability. The results show that the opening of government data significantly improves urban innovation abilities. After considering the heterogeneity and fixed effects of urban characteristics, the opening of government data still significantly improves urban innovation ability and shows a greater innovation driving role in cities with high levels of economic development, human capital, and infrastructure. Based on this, this paper believes that we should continue to promote the opening of government data, release the value of data, and pay attention to the Matthew effect between cities that may appear in the era of big data.

ENVIRONMENTAL REGULATION IMPROVES THE FIRM PERFORMANCE IN THE PAPER INDUSTRY IN CHINA

This research develops a difference-in-differences (DID) model to explore the relationship between environmental policy (The Measures for the Administration of Permits for the Discharge of Key Water Pollutants in the Huaihe and Taihu River Basins, MAPD) and the performance of firms involved in the paper and paper products industry (MPP) in China. Cost and innovation are introduced as mediators to explore the mediating effects. A firm-level dataset from 1998 to 2007 is adopted for empirical study. The findings support the positive role of the MAPD, and the average treatment effect is 0.016.The heterogeneity analysis shows that the MAPD exerts a positive impact on non-state-owned and small-scale enterprises, with coefficients of 0.018 and 0.021, respectively. Moreover, MAPD increases enterprise costs harming firm performance. On the other hand, it can promote firm performance by improving innovation ability.