Prior to putting energy security plans into action, it is crucial to conduct a scientific and methodical assessment of energy security. The energy security level of 30 Chinese provinces from 2008 to 2019 is measured quantitatively using an energy security index system. Secondly, two machine learning methods, random forest and KNN model, are applied to fit the energy security level of each province. Finally, using the random forest technique, the key risk factors affecting energy security are mined. Our study shows that (1) Energy security levels are inversely correlated with energy load centers and vary widely within China, albeit the disparity is closing. (2) Supply security is the bottom line of energy security, while energy carbon intensity and raw coal and crude oil consumption are also important indicators affecting the level of energy security. (3) The machine learning approach can more accurately match and forecast the level of energy security. These findings provide theoretical support and practical guidance to optimize energy evolution security management and risk notification.

员工偏差行为作为造成企业经济损失惨重的管理痛点之一,近年来逐渐成为组织管理领域的研究热点,在此基础上探寻本土情境的独特解法具有重要意义.在蕴含"和为贵"传统伦理思想的中国职场中,组织伦理氛围能够影响员工的行为态度,但是否能够真正有效地减少员工偏差行为的发生,还是促使员工出于资源保护目的而暂时戴上情绪面具,还需进一步探讨.鉴于此,以社会认知理论与资源保存理论为基础,引入情绪劳动为中介变量,探究其对组织伦理氛围与员工偏差行为关系的影响.对 418 份有效问卷进行实证分析,结果表明:关怀导向型伦理氛围对员工偏差行为(人际偏差、组织偏差)有显著负向影响,情绪劳动(表层表演、深层表演)起中介作用;自利导向型伦理氛围对员工偏差行为(人际偏差、组织偏差)有显著正向影响,情绪劳动(表层表演、深层表演)起中介作用;规则导向型伦理氛围对员工偏差行为(人际偏差、组织偏差)有显著负向影响,情绪劳动(深层表演)起中介作用.

In marketing, customer segmentation is a very critical element. This paper focuses on clustering algorithms. First, the commonly used K-means algorithm was introduced, and then, it was optimized using the improved Lion Swarm Optimization (ILSO) algorithm and the Calinski-Harabasz (CH) index. The results of the experiment for the UCI dataset showed that the CH indicator obtained an accurate number of clusters, and the clustering accuracy of the ILSO-K-means algorithm was higher, both above 90%. Then, in customer segmentation, the customers of an enterprise were divided into four groups using the ILSO-K-means algorithm, and different marketing suggestions were given. The experimental analysis proves the usability of the ILSO-K-means algorithm in customer segmentation, which can be further applied in practice.

With the development and popularity of mobile networks, online shopping has gradually become a trend. For enterprises, the traditional marketing mode has been difficult to play an effective role when facing the emerging online shopping mode. This study aims to improve the revenue benefits of online shopping. This paper first introduces the traditional marketing mode and then selects the data mining model used for consumption preference segmentation to build an online marketing mode. An example analysis was conducted on a book sales company and a real estate company. The results showed that more users in this community preferred five types of books, and the percentages from high to low were teaching and learning materials, modern novels, popular science books, historical literature, and classical novels; more customers preferred online platforms among the channels for collecting information on home purchase. No matter it was the book sales company or the real estate company, compared with no fluctuation in the company’s turnover under the traditional marketing mode, the turnover of the company increased month by month after adopting the online marketing mode.

人工智能的迅速发展正在改变人类的经济社会生活.福建省作为"数字中国"的孕育地、发源地,理应在人工智能方面走在前列.该文重点围绕福建省产业发展和人工智能发展的优势和短板,以需求为导向,研究了智能经济、智能社会对各领域智能化的新需求,并从顶层设计、核心技术研发、产业布局和人才质量提升等方面提出了具体的政策建议.

With the development of e-commerce, more and more enterprises attach importance to precision marketing for network channels. This study adopted the decision tree algorithm in data mining to achieve precision marketing. Firstly, precision marketing and C4.5 decision tree algorithm were briefly introduced. Then e-commerce enterprise A was taken as an example. The data from January to June 2018 were collected. Four attributes including age, income, occupation and educational background were selected for calculation and decision tree was established to extract classification rules.The results showed that the consumers of the products of the company were high-income young and middle-aged people, middle-income young people, middle-income middle-aged and elderly people with a college degree or above, low-income middle-aged people with a college degree or above and low-income elderly people with a state-owned enterprise. After precision marketing to these customers, it was found that the monthly sales volume of the enterprise increased by 22.82% and the marketing cost decreased by 28.21 %, which verified the effectiveness and application value of precision marketing and showed that the decision tree algorithm could provide enterprises with decision support in precision marketing.

Abstract: After entering the 21st century, the economic and scientific and technological levels of China show a tendency of rapid rise. On account of it, medical level is also developing, and the requirements for medical institutes and equipments have become stricter. In recent years, the medical facility market in China is facing a complicated environment, and many traditional medical facilities have been gradually replaced. Medical marketing plays a crucial role in improving the position of Chinese medical facilities in the industry. In the perspective of the current new environment, this study investigated the marketing strategies of Chinese medical facilities, aiming to provide a reference for their positive development in the new environment.

自我领导力是一种特殊的人格魅力,也是一种综合性的艺术,自我领导力也具有潜移默化的作用.现代企业经济管理强调制度和流程的驱动,更多的是一种规范和约束.按照现代科学管理和以人为本的理念,企业经济管理更需要对员工积极性的调动,从而激发员工的创造性.这不仅需要科学的体制,更需要发挥好自我领导力的影响和作用,激发员工的内生动力,提高管理效率.

Based on real situations of supply chain network among enterprise alliances, this paper takes certain factors in every round of supply chain into consideration to establish robust model of supply chain network design.Before that, the strategy "decompositioncoordination" is adopted to get solutions optimizing supply chain system, putting focus on the analysis of supplier selection cost and decision-making cost of supply chain facilities, which is integrated and coordinated through activity-based costing.After the model establishment, examples are used to illustrate practicability and effectiveness of the model and algorithm.

在如今竞争激烈的市场环境中，创新已经成为许多组织获取竞争优势的关键因素。员工创新是组织创新的基础，而随着员工流动率居高不下，新员工创新行为成为企业创新的一个重要组成部分，本文通过探讨新员工组织社会化的程度来了解其对员工创新行为及创新绩效的影响作用。

According to the actual situation of the supply chain's network among enterprise alliances, this paper takes account of this complex situation that factors in all aspects of the supply chain are uncertain. At first it takes decomposition-coordinated programs to solve strategies in order to optimize the supply chain's system. The choosing costs of suppliers and decisionmaking costs of supply chain's facilities are put emphasis on analyze. By means of the method of operating cost, these two issues are integrated to coordinate. Then the robust model of supply chain's networking design will be established. Finally, the combination of stochastic simulation method and particle swarm optimization is used to form a hybrid intelligent algorithm, which is the best solution for solving the robust model. Besides, it illustrates is feasibility and effectivity of the model and the algorithm with an example. © Research India Publications.

大学毕业生是每年注入到劳动力市场的新生力量,今年随着劳动力市场需求的变化,大学毕业生出现了就业难的现象,而且随着经济的发展越来越明显。大学毕业生就业难是外部经济环境、劳动力市场、高校教育及大学生群体等各方面因素的不断变化综合产生的结果,本文从大学毕业生就业过程中两个重要的角色——高校和大学毕业生群体出发,对当前形势下的大学毕业生就业难现象进行分析研究,发现问题,总结问题,并尝试寻求改善问题的方法和对策。

当前社会就业压力加剧,供需矛盾突出,高校对提升大学生就业竞争力担负主要责任。本文在总结国内外有关文献的基础上,探讨了大学生就业竞争力的构成及作用机制,为高校教育模式改革提供了理论依据。

社会资本测量的困难主要体现在社会资本测量的概念和方法论问题上,这也是社会资本理论遭到批评的一个很重要的方面。尤其是社会资本理论的测量层次问题,由于这方面的争议,导致了不同学者对社会资本界定的含糊性和随意性。这也是我们对社会资本测量问题进行探讨的初衷和重要原因。