价值共创引导乡村旅游价值链重构

［目的］通过充分发挥移动互联时代消费者对于价值链、创新链、产业链构建的作用，实现价值共创视角下乡村旅游价值链的重构，解决乡村旅游产业中消费者需求和产业供给不平衡不充分之间的矛盾，推动乡村旅游高效、有序、协调、综合发展。［方法］基于价值共创理论，通过文献研究法和系统论方法，探索性重构乡村旅游价值链。［结果］（1）价值共创引导下的乡村旅游价值链是由基本价值活动、辅助价值活动和价值共创活动共同组成，通过虚拟价值链和传统价值链的互动与融合，实现乡村旅游价值链的新价值创造。（2）价值共创活动是以虚拟价值链为基本特征，以“产消者”创新社区为表现形式，依托移动互联网时代的先进技术，创新性赋予旅游者产品生产者和旅游消费者的“产消者”双重属性，通过将消费者从传统价值链的幕后拉向幕前，实现乡村旅游价值链重构和价值增值。［结论］价值共创引导的乡村旅游价值链需要依托平台思维、共享思维和创新思维进行建设，以消费者需求为导向形成的价值链的开放和互动对于实现乡村旅游供给侧结构性改革具有重大意义。     

“倒挂型”土地利用总体规划的耕地保护效果评价

研究目的:揭示"倒挂型"土地利用总体规划与耕地保护效果之间的关系,以期为国土空间规划的编制提供参考。研究方法:倾向值匹配法。研究结果:(1)耕地"倒挂型"规划对耕地面积净变化的影响具有统计显著性,2006—2008年,耕保指标"倒挂型"规划使耕地面积净变化量平均减少2.270万hm2;(2)2010—2016年,耕保指标"倒挂型"规划使耕地面积净变化量平均减少0.496万hm2;(3)建设用地"倒挂型"规划对耕地面积净变化量并无显著影响。研究结论:在省级政府耕地保护责任目标考核的制度环境下,耕地"倒挂型"规划对地方政府形成一定压力,促使各级政府采取措施加以应对,从而使得"倒挂型"规划在一定程度上降低了耕地净减少量。     

Value Relevance of Comprehensive Income for the Canadian Market*

The value relevance of comprehensive income (CI) compared to net income (NI) remains unresolved. We look at this issue in the Canadian market, using association methods to determine the value relevance of reporting CI and other comprehensive income (OCI) components for stock prices and returns. The sample consists of all the firms in the S&P/TSX Composite Index that prepared their financial statements according to Canadian standards or International Financial Reporting Standards (IFRS) over the 2008–2016 period. Although we find no evidence that CI is more value relevant than NI for stock prices and returns, we note that some OCI components are incrementally value relevant beyond NI for both amounts. In addition, financial services firms differ from other companies in terms of the relationships between some of their OCI components and prices or returns, with such firms even driving some relationships. Relationships between OCI components and prices or returns are also affected when data from the financial crisis period are excluded, with some relationships even changing after IFRS adoption. These results inform Canadian standard setters and financial statement users that OCI components are decision useful for the Canadian market.     

Pursuing your leader development: Lessons from 101 executives

To lead effectively in a VUCA (i.e., volatile, uncertain, complex, and ambiguous) environment, leaders must quickly and continuously acquire new skills. However, formal development opportunities aren’t nearly enough to support the ongoing skill development leaders need to manage the level of complexity and change they are facing. Instead, leaders must take ownership of their own development. In this paper, we describe a straightforward, four-step process that leaders can implement to pursue their individualized development through leader development planning. Specifically, we walk leaders through the evidence-based steps of creating their unique leader development plan (LDP), including (1) identifying their leadership strengths and weaknesses, (2) setting effective leader development goals, (3) designing SMART strategies, and (4) reflecting, refining, and realigning their plan. Throughout the article, we detail positive examples as well as common pitfalls that we observed from our work supporting 101 mid- to senior-level leaders in designing their LDPs. Our purpose in doing so is to provide tools and examples to enable leaders at all levels to drive their development at their own pace.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

The power of positivity? The influence of positive psychological capital language on crowdfunding performance

We extend the entrepreneurship literature to include positive psychological capital — an individual or organization's level of psychological resources consisting of hope, optimism, resilience, and confidence — as a salient signal in crowdfunding. We draw from the costless signaling literature to argue that positive psychological capital language usage enhances crowdfunding performance. We examine 1726 crowdfunding campaigns from Kickstarter, finding that entrepreneurs conveying positive psychological capital experience superior fundraising performance. Human capital moderates this relationship while social capital does not, suggesting that costly signals may, at times, enhance the influence of costless signals. Post hoc analyses suggest findings generalize across crowdfunding types, but not to IPOs.     

Inequality and entrepreneurial thresholds

We explore the relationship between inequality and entrepreneurial activity. Drawing on cross-sectional data from a largescale survey of the economic conditions of individuals across India, we develop a number of dimensions of inequality to explore empirically how inequality interacts with entrepreneurship, operationalized as self-employment or as employing other people. We find compelling evidence that there are thresholds to becoming self-employed, and even more so to assembling the combinations of resources and personal attributes required to become an employer. Greater inequality leaves more people unable to make the transition to self-employment, leaving casual laboring as the occupation of necessity. At the same time, inequality increases the number of employers in a society, by concentrating resources - particularly land and finance - enough for significant numbers of people to be able to cross this higher threshold. Lastly, greater differentiation into social or religious groups curtails the ability to cross either entrepreneurial threshold, presumably by limiting the extent and benefits of social networks of value for entrepreneurship.     

企业应收账款管理研究

我国经济已由高速增长阶段转向高质量发展阶段,“提升治理能力,实现高质量发展”是我国面对新变化、新趋势再一次作出的明确路径选择。如何加强应收账款的管理,已经成为现代企业管理中不容回避的问题。论文通过对LD公司应收账款管理的研究,提出改进方案和实施保障措施,有助于解决LD公司应收账款管理的实际问题,顺应企业高质量发展需求,提高应收账款管理能力,推动企业朝着更高质量、更可持续的方向发展。     

STOCK‐BOND CO‐MOVEMENTS AND FLIGHT‐TO‐QUALITY IN G7 COUNTRIES: A TIME‐FREQUENCY ANALYSIS

This paper examines co‐movement between stock returns and changes in 10‐year government bond yields as well as flight‐to‐quality behaviour in G7 countries. We conduct the wavelet squared coherence analysis to explore the dynamics in both time and frequency domain. Our results provide evidence of positive co‐movements, which vary over time and across investment horizon. The higher co‐movement is found to be more concentrated in the lower frequency bands. We further analyse the dynamic nature of the scale‐dependent wavelet correlations and find that the correlations are highly volatile and significantly increase across different time scales during the episodes of equity market turbulence. The increase in correlations reflects flights from stocks to safer bond investments as a result of dramatic changes in investor sentiment and risk aversion at times of market stress.     

Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets

Bankruptcy prediction is still important topic receiving notable attention. Information about an imminent bankruptcy threat is a crucial aspect of the decision-making process of managers, financial institutions, and government agencies. In this paper, we utilize a newly acquired dataset comprising financial parameters derived from the annual reports of small- and medium-sized companies. The data, which reveal the true ratio between bankrupt and non-bankrupt companies, are severely imbalanced and only contain a small fraction of bankrupt companies. Our solution to overcome this challenging scenario of imbalanced learning was to adopt three one-class classification methods: a least-squares approach to anomaly detection, an isolation forest, and one-class support vector machines for comparison with conventional support vector machines. We provide a comprehensive analysis of the financial attributes and identify those that are most relevant to bankruptcy prediction. The highest prediction performance in terms of the geometric mean score is 91%. The results are validated on two datasets from the manufacturing and construction industries.