基于AHP-TOPSIS模型的京津冀家政服务人力资源供给质量评价研究

依托已有的研究成果构建了家政服务人力资源供给质量评价指标体系,利用AHP-TOPSIS模型对京津冀家政服务人力资源供给质量进行了评价和排名,并使用障碍度模型分析了员工制、准员工制、培训学校、中介制四种类型家政机构人力资源供给质量的关键制约因素,在此基础上,给出了不同类型家政机构人力资源供给质量改善的针对性建议,为家政服务人力资源供给质量的改善提供参考依据。     

军民融合协同创新驱动产业园区高质量发展研究

军民融合产业园区高质量发展对于推进军民深度融合、在全国形成可复制可推广经验具有重要意义。军民融合协同创新通过促进新知识涌现、推进新产业集聚发展，最终汇聚经济发展新动能，驱动园区高质量发展。在提出军民融合协同创新驱动园区高质量发展的机理与组织框架基础上，将发展模式归纳为以分享经济为背景的资源共享模式、以新型研发机构为核心的第三方模式、以产业联盟为核心的产业链拓展模式和以交易平台为核心的“PPP”模式，最后提出相关对策建议。     

新疆坎儿井农业遗产资源保护与旅游开发利用

[目的]分析新疆坎儿井农业文化遗产资源的旅游效用,以期更好地指导当地旅游资源的开发利用工作,达到促进区域休闲农业可持续发展的目的。[方法]文章以新疆坎儿井农业文化遗产资源为例,分析其资源特征、资源保护及开发现状;采用AHP分析法分析坎儿井农业遗产资源旅游效用,基于上述分析并结合农业文化遗产旅游发展的需求,提出优化其农业遗产资源保护及开发的规划、模式及策略。[结果]坎儿井农业文化遗产资源中主体旅游资源坎儿井工程(B_1)、辅助旅游资源农业文化资源(B_2)、客源与市场特征(B_3)和外部因素特征(B_4)的权重分别是0.43、0.22、0.10和0.06。[结论]在比较其生态价值、环保价值、旅游价值的基础上,发现在稳固生态价值与环保价值的同时,挖掘新疆坎儿井的旅游价值是实现农业文化遗产有效保护的最佳途径;主体旅游资源坎儿井工程和辅助旅游资源农业文化资源为坎儿井农业遗产资源旅游带来良好的经济收益,而客源与市场特征和外部因素特征权重最低,说明这两个因素是导致旅游效益权重低的主要原因;农业遗产资源旅游的保护和开发两者互惠共赢,但必须建立在重视农业遗产资源的保护及其宣传保护的基础上。     

中国区域农业科技资源配置能力及比较优势研究*——基于省级农业科学院视角

[目的]通过测算各地区农业科技资源的配置能力,分析其比较优势并找出不足以便弥补差距,促进各区域农业科技配置能力的提高,为各地区农业经济的发展提供支持。省级农业科学院作为各省市规模最大、综合实力最强的农业科研机构,是农业科技创新的重要主体之一,分析其科技资源配置能力具有重要的现实意义。[方法]基于2009—2016年相关数据,遴选了有代表性的评价指标体系,运用突变级数法计算农业科技资源配置能力,运用NRCA模型定量分析农业科技资源配置效益的比较优势。[结果]山东农业科学院科技资源配置能力位居全国第一,甘肃、江苏、青海农业科学院分别在农业科技人力、物力、财力资源方面具有明显的比较优势。[结论]省级农业科学院科技资源配置能力区域差异十分明显,但区域格局变化不大,且大致与各地区经济实力相吻合;农业科技资源配置能力较高的农业科学院大多在农业科技物力资源配置效益方面具有比较优势,在农业科技人力、财力资源配置效益方面不具备比较优势。     

重塑自然资源管理新格局：目标定位、价值导向与战略选择

研究目的:立足新时代党和国家机构改革背景,分析自然资源管理改革目标定位和面临挑战,明确未来自然资源管理改革价值导向与战略选择。研究方法:文献研究法,综合分析法。研究结果:自然资源管理改革的目标定位是实现"五统一",即统一调查评价、统一确权登记、统一"多规合一"和用途管制、统一资产管理和统一督查监管。针对当前自然资源管理理论储备不足、开发利用伦理缺乏科学引导、开发和保护矛盾冲突长期存在、新管理体制效能有待实践检验等挑战,自然资源管理改革亟需注重"公平效率"、强调"永续利用"、融合"三资一体"、构建"有效市场",切实重塑自然资源管理新格局。研究结论:新时代自然资源管理改革应该以权籍为基础,完善自然资源市场体系;以规划为龙头,构建国土空间规划体系;以"三线"为底线,推进全域国土空间用途管制;以整治为抓手,推进"山水林田湖草"生命共同体综合治理;以法制为保障,构建自然资源管理法律体系,从而塑造"三体系一管制一治理"的自然资源管理新格局。     

Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

The Human Development Approach: An Overview

The human development (HD) approach puts the improvement of people’s lives as the central objective of development. This paper provides an overview of major aspects of the approach. It shows how it emerged with the evolution of development thought and a widening of development objectives The paper explores the two-way relationship between HD and the rival objective, economic growth, is explored and broad characteristics of countries that have been exceptionally successful or unsuccessful , countries with three country cases considered in greater depth. The paper identifies major dimensions of HD, beyond the three elements included in the Human Development Index (HDI) and shows they are poorly captured by the HDI. An overview of global change on HD dimensions from 1980 to 2015 gives a mixed picture with progress on basic HD, uneven trends in some areas, and notable worsening on the environmental dimension. In conclusion, the paper discusses some outstanding issues which need more attention.     

The effect of place attachment of geographical indication agricultural products on repurchase intention

[Objective] This study aims to investigate how place attachment and the quality of experience affect consumers' intention to repurchase Geographical Indication (GI) agricultural products. [Methodology] Based on the special functional value and symbolic meaning of GI agricultural products, we constructed a five-dimensional model of place attachment for GI agricultural products consumers. Expanding on the original two-dimensional place attachment model, we introduced three connection concepts: nature, society, and emotion. We also combined this model with the quality of experience model and consumer purchase intention model to form a research model of repurchase intention for GI agricultural products. A questionnaire survey was used to collect data (n = 340), and a partial least squares structural equation model was used to test the empirical evidence. [Research results] (1) Place attachment to Geographical Indication agricultural products significantly affects the quality of experience. (2) Quality of experience significantly affects consumer trust and repurchase intention. (3) Consumer trust significantly affects repurchase intention. (4) There is a mediating effect of experience quality between place attachment and repurchase intention; there is a mediating effect of trust in the relationship between quality of experience and repurchase intention. (5) There is a chain mediating effect of “place attachment→quality of experience→consumer trust→repurchase intention” in the model.     

关系质量对企业知识创造绩效的作用机理：一个被调节的中介模型

基于嵌入性视角，分别引入知识转移、合作模式作为中介变量和调节变量，深入探究关系质量影响企业知识创造绩效的内在机理。利用277份来自全国多地的制造业及高新技术企业调查问卷，采用多元回归方法进行实证研究。结果表明：经济型和社会型关系质量均正向影响企业知识创造绩效；社会型关系质量通过元素知识和架构知识转移正向影响企业知识创造绩效。在契约治理模式下，经济型关系质量更倾向于通过元素知识转移正向影响企业知识创造绩效；在股权治理模式下，社会型关系质量更倾向于通过架构知识转移正向影响企业知识创造绩效。