无人机遥感系统的研究进展与应用前景

对于无人机遥感来说,融合了无人机技术与遥感技术。在无人机遥感技术应用的过程中,涵盖了诸多不同类型的先进技术,比如,无人机驾驶飞行技术、通讯技术、遥感传感器技术等,存在着显著的智能化、自动化等不同方面的特征,能够迅速得到相关资源,并且系统掌握国土、环境等不同方面的信息,然后加以实时化处理,通过建模与科学分析,能够制定出无人机遥感技术运用的具体策略,凸显出其良好的功效。本文针对无人机遥感系统的研究进展进行了详细地分析,同时说明了无人机遥感系统的应用前景,进而对有关研究人员形成一定的启发。     

Longitudinal analysis versus cross-sectional analysis in assessing the factors influencing shoppers’ impulse purchase behavior – Do the store ambience and salesperson interactions really matter?

Numerous studies in the marketing literature focused on consumer behavior in general, but relatively few studies have examined Impulse purchase behavior (IPB). Although few studies examined IPB, the vast majority of the studies were conducted using the cross-sectional design. These studies suffer from certain limitations like random measurement error, common method bias, causality & validity-related issues that are inherently associated with the cross-sectional design. Despite these limitations, very few studies have examined the IPB using the longitudinal design. Multilevel structural equation modeling (ML-SEM) is conducted in the study to analyze the longitudinal data for examining the changes in the causal effects of the factors influencing the shoppers' IPB over a period of time. Additionally, structural equation modeling (SEM) is conducted to examine changes in the causal effects of the factors influencing IPB at each time point of data collection. Drawing upon the stern's model and stimulus-organism-response model, the study examines the causal effects of the factors influencing the IPB. The results of ML-SEM indicate significant fluctuations in the factors influencing IPB over time. Similarly, the results of SEM indicates that few factors (like store ambience and salesperson interactions) have shown a significant influence on IPB in the initial time points (i.e., during the initial store visits of shoppers), but became insignificant over a period of time in their subsequent store visits. The findings suggest that the store crowd, secondary customers influence, and in-store promotions show a significant influence on the IPB, compared to the store ambience and salesperson interactions.     

农户风险感知与施药行为的响应关系研究——基于辽宁省菜农数据的实证检验

本文基于辽宁省蔬菜主产区434户菜农调研数据,运用结构方程模型验证了农户风险感知与施药行为的响应关系。研究结果表明,农户风险感知潜变量正向影响农户的施药行为响应,但是风险感知和施药行为潜变量中各个因子的影响路径和显著程度存在差异;农户是否加入合作社对农户风险感知与施药行为的作用关系起到一定的调节效应。基于研究结论,本文提出风险意识提升、保障条件供给和发展新型农业经营主体三方面的建议。     

城市近郊区农户土地投入行为绩效评价及障碍因子诊断 ——耕地多功能价值视角下的多群组对比分析

研究目的:基于耕地多功能价值的视角研究农户土地投入行为绩效并诊断其障碍因子,以探索当前形势下城市近郊区农户"既不愿意种地,又不愿意将土地流转"的深层原因.研究方法:在构建农户土地投入行为绩效分析框架的基础上,通过农村入户调查获得样本数据,采用熵权TOPSIS法和障碍度模型,对不同性别和年龄阶段农户的土地投入行为展开绩效分析.研究结果:总体上,城市近郊区农户的土地投入行为绩效水平为"良好";多群组对比分析显示,男性绩效水平高于女性,青壮年绩效水平高于老年;补贴标准偏低和职业认同感差是制约土地投入行为绩效的主要障碍因子,而满足就业和养老需求依然是耕地资源的核心价值功能.研究结论:耕地在农户认知层面发挥着"弱保障"功能,"存而不用"的保守心态在事实上导致家庭承包地处于闲置、撂荒状态,这便是当前形势下城市近郊区耕地资源低效利用的底层逻辑.     

电商不同类型促销对购买行为的长期影响——以亚马逊电子书为例

促销的长期影响在学术界一直备受争议,并且传统研究更多地关注实体企业的促销效果,而对电商平台的促销活动研究较少。为了厘清电商平台的不同促销方式对消费者购买行为的长期影响,本文基于亚马逊电子书的销售数据,建立固定效应模型考察了降价和优惠券两种价格促销的长期影响。结果表明,降价促销会导致消费者未来购买数量减少、购买金额增加、购买时间间隔缩短;优惠券促销则会使得消费者未来购买数量增加、购买金额减少、购买时间间隔不变。在此基础上,本文进一步分析了消费者购买经验的调节作用。本文不仅丰富了已有促销长期影响的研究成果,而且对电商如何制定促销策略以优化促销长期效果提供了科学可行的建议,具有重要的理论意义和实践价值。     

领地性对员工创新行为的影响机制——以知识隐藏和不信任为连续中介

本文以知识隐藏与同事不信任为连续中介,从个体层面探究了领地性对员工创新行为的消极影响机制。通过对221份员工与员工、员工与直接管理者配对的样本数据进行分析,结果表明:(1)领地性正向影响知识隐藏和同事不信任感,负向影响员工创新行为;(2)知识隐藏中介领地性对同事不信任的影响;(3)同事不信任中介知识隐藏对创新行为的影响;(4)知识隐藏与不信任连续中介领地性与员工创新行为之间的关系。本研究结合自我延伸理论和社会交换理论,揭示了领地性对创新行为的消极作用,研究结论对于管理员工领地性、减少知识隐藏与不信任关系,以及促进创新行为具有重要意义。     

Consumer Trends and Attitudes to Functional Foods

Abstract

Consumers' needs have grown to such an extent that they are sought out of nutritious and pleasant organoleptic foods, as well as functional foods. This study explores consumer attitudes towards health nutrition products and particularly functional foods, using data from a survey to 325 consumers. The results designate that consumers recognize different kinds of functional foods, willing to pay a premium for their purchase. They perceive that functional foods may contribute to easily follow a healthy and balanced diet and reduce the risk of health problems but appeared anxious about the health benefits these foods communicate in their labelling.     

Does an economic incentive affect provider behavior? Evidence from a field experiment on different payment mechanisms

Aims: This study analyzed discrepancies in the quantity of medical services supplied by physicians under different payment systems for patients with different health statuses and illnesses by means of a field experiment.

Methods: Based on the laboratory experiment of Heike Hennig-Schmidt, we designed a field experiment to examine fee-for-service (FFS), capitation (CAP), and diagnosis-related group (DRG) payment systems. Medical students were replaced with 220 physicians as experimental subjects, which more closely reflected the clinical choices made by physicians in the real world. Under the three payment mechanisms, the quantity of medical services provided by physicians when they treated patients with different health statuses and illnesses were collected. Finally, relevant statistics were computed and analyzed.

Results: It was found that payment systems (sig. = 0.000) and patient health status (sig. = 0.000) had a stronger effect on physicians’ choices regarding quantity of medical services than illness types (sig. = 0.793). Additionally, under the FFS and CAP payment systems, physicians overserved patients in good and intermediate health while underserving patients in bad health. Under the DRG payment system, physicians overserved patients in good health and underserved patients in intermediate and bad health. Correspondingly, under FFS and CAP, the proportional loss of benefits was the highest for patients in bad health and the lowest for patients in good and intermediate health; while under DRGs, patients in good and intermediate health had the largest and smallest loss of benefits, respectively.

Limitations: In order to increase external effects of experiment results, we used the field experiment to replace laboratory experiment. However, the external effects still existed because of the blurring and abstraction of the parameters.

Conclusions: Medical treatment cost and price affected the quantity of medical services provided by physicians. Therefore, we proposed that a mix of payment systems could address the common interests of physicians and patients, as well as influence incentives from payment systems.     

Is digital technology the magic bullet for performing work at home? Lessons learned for post COVID-19 recovery in hospitality management

PurposeThe COVID-19 pandemic has suddenly brought about a number of disruptions to when and where work is undertaken for hospitality employees. The rapid spread of COVID-19 forced many hospitality managers to use digital technologies to perform work from home, termed digital work connectivity. Yet little is known about how hospitality employees cope with it. The purpose of this study is to investigate an important yet underspecified issue as to how digital work connectivity can be detrimental for employees’ work behavior.Design/methodology/approachWe test our hypotheses using multi-wave and multi-source data collected from 467 middle managerial-level hospitality employees in China.FindingsThe findings show that digital work connectivity can lead to self-control depletion, which in turn is associated with disengagement from work. Further, the findings show that relational energy is an important resource that can buffer the detrimental effects of digital work connectivity on hospitality employees.Practical implicationsThe association of digital work connectivity with employee withdrawal behavior highlights the urgent need for hospitality enterprises to have clear guidelines that regulate technology use at home for work purposes.Social implicationsOur research shows that the absence of clear guidelines in relation to the use of digital technology for work at home risks producing unintended consequences for both hospitality employees and their enterprises.Originality/valueOur research draws from recent advances in resource allocation theories of self-control and adopts a more nuanced approach to uncover a counterintuitive reality that while people use digital technology to remain connected with work, doing so can actually contribute to their withdrawal behavior.     

Heterogeneous beliefs with herding behaviors and asset pricing in two goods world

We construct a incomplete information equilibrium model with heterogeneous beliefs and herding behaviors to identify their joint effects on the dynamics of asset prices. Herding behaviors make investors revise some of their estimations about expected growth rates of goods streams toward to the other one’s by a manner of weighted average of their own forecast and the other’s. As we expected, herding behaviors generate influences on the Radon Nikodym derivative, that is so-called “sentiment” as in Dumas et al. (2009), and in turn not only impact the dynamics of asset prices but also generate influences on investors’ survivals. We also show that introducing heterogeneous beliefs with herding behaviors permits to explain both the Backus–Smith puzzle and the mixed results about the influences of herding behaviors on asset prices. Moreover, we uncover that herding behaviors have positive influences on stocks’ risk premiums.