Segment-Centric Geo-Competitive Environment of a Tourism Destination (A Case of Georgia)

This work aims to introduce a conceptual approach to determining the competitive environment for a particular tourist destination by considering popular outbound destinations of its leading segments.This approach we name as a concept of a segment-centered geo-competitive environment of a tourism destination(SGE-TD).The applied methodology includes consideration of the popularity of tourist destinations for each selected segment and the indicators of leading segments of the studied destination.The practical application of the proposed concept is examined in the case of Georgia as a tourist destination by selecting its leading segments and identifying their popular travel destinations.The integrated consideration and application of the mentioned indicators define the competitive position of a destination(in this case Georgia)among the specified tourism destinations,considered as the geo-competitive environment.This research suggests an innovative version of the universal conceptual approach to identify the leading competing destinations for a specific studied one.It fills the gap in similar studies where competing destinations for the analysis are selected based on specific research objectives,missing the universal conceptual approach in this regard.

Flexible Tropism of the Enterprises＇ Organization in Uncertain Competitive Environment

With the rapid development of the computer network, communication technology and the economic globalization, the competition environment faced by the enterprises has been more and more complicated. While the interactive competition becomes more and more fierce, it has been more and more difficult for enterprises to keep sustainable advantages in competition. In this paper the author mainly discusses the severe challenge of the new competition conditions to the traditional hierarchical structure and the reason why flexible organization will be the inevitable strategy selection of the enterprises.

A Novel Influence Maximization Algorithm for a Competitive Environment Based on Social Media Data Analytics

Online social networks are increasingly connecting people around the world.Influence maximization is a key area of research in online social networks,which identifies influential users during information dissemination.Most of the existing influence maximization methods only consider the transmission of a single channel,but real-world networks mostly include multiple channels of information transmission with competitive relationships.The problem of influence maximization in an environment involves selecting the seed node set for certain competitive information,so that it can avoid the influence of other information,and ultimately affect the largest set of nodes in the network.In this paper,the influence calculation of nodes is achieved according to the local community discovery algorithm,which is based on community dispersion and the characteristics of dynamic community structure.Furthermore,considering two various competitive information dissemination cases as an example,a solution is designed for self-interested information based on the assumption that the seed node set of competitive information is known,and a novel influence maximization algorithm of node avoidance based on user interest is proposed.Experiments conducted based on real-world Twitter dataset demonstrates the efficiency of our proposed algorithm in terms of accuracy and time against notable influence maximization algorithms.

Evaluation of Ecological Environment Competitiveness of Hunan Province Based on Prefecture Level Cities

Based on the data of 13 eco-environmental indicators of 14 prefecture level cities in Hunan Province from 2014 to 2018,this paper quantitatively evaluated the eco-environmental competitiveness and its advantages and disadvantages by principal component analysis(PCA).The results showed that:(1)the overall ecoenvironmental competitiveness of Hunan Province was relatively high,whereas the competitiveness level of each city and prefecture was quite different.The comprehensive score of eco-environmental competitiveness of Changsha City was 2.96,ranking the first,and Zhangjiajie city ranking the last with a score of-1.60,which indicated that there was an obvious difference in the level of eco-environmental competitiveness among different regions.(2)The overall eco-environmental competitiveness of cities and prefectures in Western Hunan Province was weak.Among the 14 prefectures and cities in Hunan Province,the comprehensive scores of eco-environmental competitiveness of 6 prefectures and cities were negative,whereas the scores of Zhangjiajie,Xiangxi and Huaihua in Western Hunan were all lower than the others.In the face of increasingly serious environmental problems,cities and prefectures should adjust measures according to local conditions and put forward specific measures to enhance environmental competitiveness.In particular,cities and prefectures in Western Hunan should give full play to their advantages in ecological resources,take the path of green development,enhance the competitiveness of ecological environment,and provide support for local economic development.

Strategic thinking on improving the environmental competitiveness of Chinese enterprises

Environmental competitiveness, price competitiveness and non-price competitiveness make up the undivided vital part of product＇s competitiveness. Environmental competitiveness can not only help improve the enterprise＇s key competitiveness directly, but also strengthen it indirectly by improving the products＇ price competitiveness and non-price competitiveness effectively. Instead of being confined to the product itself, there are several element＇s that can determine and influence the product＇s environmental competitiveness, including the manufacturing process, the management of enterprise＆the life circle of the products, etc. Measuring these elements by setting “environmental suitable degree ”, and building up the echelon model to evaluate the environmental competitiveness can help us see about the standard of the enterprises＇ environmental competitiveness. Though many of the national enterprises have price competitiveness to some extend, restricted by all kinds of elements like systems, techniques, policy, the enterprises are weak in environmental competitiveness. Beginning with systems redesign, carrying out the sustainable development, strengthening inner enterprises management, making more efforts on technique innovation, and widely publicizing and teaching the ecological concept, Chinese national enterprises can improve their environmental competitiveness and improve their key competitiveness.

Creating Optimal Language Learning Environment

From the viewpoint of psycholinguistics, this paper concerns how to create an optimal language learning environment in language learning, to stimulate students enthusiasm to participate in classroom activities and to make language learning easier and more pleasant.

Marketing as Innovation Strategy in Non Profit Sector in China： The Network of Influence ＂Guanxi＂

In a globalized world, not only the business market is overlapped but also marketing models take shape within economic systems. While there has been a proliferation in the implementation of marketing in the private sector, this paper provides a useful entry point for the understanding role of marketing within the nonprofit sector focused on China, the second worldwide economic power. A number of senior managers and directors from different Non-Governmental Organizations （NGOs） were interviewed of what they understood marketing to be and how they considered and implemented marketing within organizational strategy. The findings showed that while marketing was identified as an interesting and influential concept, Chinese nonprofit managers generally had a limited understanding of a marketing theory. The article further discusses reasons behind the dynamic based on personalized networks of influence used and the potential implications for nonprofit entities in China, a sector that plays a very noteworthy role in transformative economies.

A size-gradient hypothesis for alpine treeline ecotones

Research on the stress gradient hypothesis recognizes that positive(i.e. facilitative) and negative(i.e. competitive) plant interactions change in intensity and effect relative to abiotic stress experienced on a gradient. Motivated by observations of alpine treeline ecotones, we suggest that this switch in interaction could operate along a gradient of relative size of individual plants. We propose that as neighbors increase in size relative to a focal plant they improve the environment for that plant up to a critical point. After this critical point is surpassed, however, increasing relative size of neighbors will degrade the environment such that the net interaction intensity becomes negative. We developed a conceptual(not site or species specific) individual based model to simulate a single species with recruitment, growth, and mortality dependent on the environment mediated by the relative size of neighbors. Growth and size form a feedback. Simulation results show that the size gradient model produces metrics similar to that of a stress gradient model. Visualizations reveal that the size gradient model produces spatial patterns that are similar to the complex ones observed at alpine treelines. Size-mediated interaction could be a mechanism of the stress gradient hypothesis or it could operate independent of abiotic stress.