The role of relationship quality in raising organizational change acceptance: The case of the Greek hotel industry

This study examines whether the quality of an employee's relationships, within the context of the hotel industry, has an influence on their behavioral intention towards organizational change. The researchers suggest that the quality of relationships is an important element of an individual's social capital and can be evaluated using five key dimensions: the extent to which relationships are tangible, responsive and reliable, as well as the extent to which they offer empathy and assurance. Furthermore, this research examines whether organizational commitment and job satisfaction have an effect on the association between relationship quality and an individual's behavioral intention towards organizational change. The data collected from a sample of 100 hotel employees in Thessaloniki, Greece, show that relationship quality has a positive association with an individual's behavioral intention towards change. Additional results highlight the roles of job satisfaction and organizational commitment as mediating variables. Managerial implications relevant to the findings and pathways for further research are also discussed.     

The Emergence of Proto-Institutions in the New Normal Business Landscape: Dialectic Institutional Work and the Dutch Drone Industry

In the current business landscape, in which technology-enabled entrepreneurship is part of the New Normal, regulatory institutional structures are in constant flux. Previous studies have framed the challenges facing entrepreneurs in mature organizational fields as avoiding the power of overbearing regulators long enough to establish the legitimacy of their ventures. In fields typified by New Normal conditions, however, regulatory frameworks for evaluating new technology-enabled ventures are often still lacking. Regulators may choose to actively reach out to entrepreneurs to arrive at a better understanding of the radical technological changes and high-frequency entrepreneurial behavioural adaptations that occur in these settings. To grasp how novel regulatory institutional structures come about in the New Normal business landscape, we conducted a processual study of the emergence of a new technology that is the Dutch remotely piloted aircraft systems (drone) industry between 2000 and 2018. Our findings show that regulatory proto-institutions result from dialectic institutional work in the form of structured interactions between entrepreneurs and regulators. Specifically, we present a process model that reveals how new regulatory structures evolve in contexts where high levels of technological and behavioural change induce systemic uncertainty, and enlarge the interdependence between entrepreneurs and regulators. We suggest that our process theory of proto-institutional emergence generalizes towards other organizational fields in which technology-enabled entrepreneurship has become the main driver of growth. Theoretically, our findings speak to the literatures on institutional work, proto-institutional emergence, and the New Normal business landscape.     

Measuring destocking performance of the Chinese real estate industry: A DEA-Malmquist approach

This paper aims to measure the evolution of destocking performance of the Chinese Real Estate Industry based on a DEA (Data Envelopment Analysis)-Malmquist approach, which is seldom used in this industry in existing literature. In 2016, the Chinese government introduced a unified national destocking policy to reduce real estate inventory to save the downturn in the real estate market, but the effect was less than expected and led to soaring house prices in first-tier cities. By analysing the destocking performance over the period from 2005 to 2015, we find the following: (1) It is impossible to use a unified policy to effectively address the national destocking issue because of the difference of DMUs' destocking efficiency, input redundancy and total factor productivity score changes. (2) With the current destocking performance and investment status, the government is still ignoring the existing commercial real estate problems. (3) The redundancy of firm assets and staff indicates that zombie firms may exist and risk future unemployment in the real estate industry. (4) Despite the recently repeated government interventions in this industry, destocking performance remains falling since 2008, and problems in other regions is more severe than in central cities. (5) The financial crisis triggered by the US subprime mortgage crisis has had a great impact on China's real estate industry. The destocking performance dropped sharply in 2008, forcing the Chinese government to introduce policies to stimulate the real estate market. Policy recommendations are also put forward based on the findings.     

Analytically comparing disaster resilience across multiple dimensions

It is important to compare the resilience of complex human systems to different types of disasters, in order to assess their inherent vulnerabilities and take appropriate actions to strengthen them. Resilient behavior can be complicated and multi-dimensional, however, and one must be able to characterize the different ways in which that resilience actually exhibits itself in practice. With this in mind, this paper discusses creating a multi-dimensional indicator for the resilience of a complex human system, and it explores an approach for visualizing and analyzing the relationships between each of the individual resilience dimensions. Because decision makers may differ on the relative contribution of the different dimensions to overall resilience, the paper further discusses the issue of weighting the different dimension values and the impacts that such a weighting scheme can have on the relative ranking of different scenarios. We illustrate the ability to characterize the complexity of multi-dimensional resilience by analyzing an empirical data set that measures the relative resilience of the New York metropolitan area to seven different natural disasters between 2010 and 2012.     

审计师行业专长对审计重要性水平的影响——基于股权性质的调节作用研究

审计师行业专长意味着在特定领域较强的专业胜任能力,对于防范审计风险和提高审计质量都有显著影响。围绕审计师行业专长影响审计重要性水平这一主题，结合股权性质的调节作用，选取2016—2018年沪深两市A股上市公司作为研究对象，进行实证检验。结果表明，审计师行业专长对重要性水平有正向影响，如果被审计单位是国有控股上市公司，审计师行业专长与重要性水平的正相关关系更显著。这对审计机构人力资源配置、监管部门完善相关制度及监督工作具有参考价值。     

粤东西北与珠三角物流产业技术效率比较

运用DEA效率测度方法,通过对2013-2017年粤东西北与珠三角区域物流产业技术效率的对比研究,探索推动广东省区域物流协调发展的路径。结果显示:对比珠三角区域,粤东西北区域物流产业技术效率与珠三角区域存在较大差距,尤其是粤东与粤西地区,粤东区域物流产业技术效率值仅为0.4,粤西区域物流产业技术效率值为0.81,均远低于珠三角区域物流产业技术效率值0.94。纯技术效率低下是制约粤东西北地区物流产业技术效率提升的主要因素,应加强物流产业信息技术应用,推进物流技术装备现代化,提高技术创新能力水平。     

丝绸之路河西走廊物流业效率演化分析

构建了分析河西走廊物流业效率演化的指标体系,基于2009-2017年河西走廊物流业统计数据,运用DEA-Malmquist指数法测算了各市物流业效率和技术进步率,采用Tobit回归模型分析了该地区物流业效率的影响因素,并从省内、省域间、各经济区域间三个方面进行了对比分析。实证分析表明,相较于全国各省市地区,河西走廊物流业整体水平较低,物流业效率和技术进步率的强正相关性普遍存在,其物流业发展对政策偏向具有较强的依赖性;同时,技术进步率低下和基础设施匮乏也是制约物流业发展的重要因素。基于此,从政策照顾与资金投入、科技进步与管理水平和市场运营与体系建设三个方面,为河西走廊物流业发展提出了建议与改善措施。     

基于人工神经网络的互联网公司估值方法研究

资本市场认为互联网公司市值的驱动因素应包括盈利因子、运营因子、流量因子和协同因子。将协同效应指标考虑到公司估值体系中,意图构造互联网公司优化估值模型。使用美股上市的互联网企业数据建立了评价指标体系,通过因子分析实现了二级指标降维,通过实证分析确认了四个因子与公司市值的相关关系,最后构建了基于人工神经网络BP算法的互联网公司估值模型,通过预测数据的检验发现模型的准确度较高。随着2018年互联网公司美股上市潮的持续,该模型能有效为资本市场估值提供参考。     

混合所有制改革是否有助于缓解人力资本配置扭曲

将人力资本在所有制企业间的配置扭曲（错配）理解为技术配置扭曲和规模配置扭曲两个方面，基于1998—2013年中国工业企业数据库的相关数据，探讨国有企业混合所有制改革影响人力资本配置扭曲的内生机理，结果表明：混合所有制改革鼓励非国有资本通过参股、控股和并购等方式参与到国有企业的生产决策中，这有助于完善国有企业的公司治理结构和利润分配机制，进一步缓解人力资本的技术配置扭曲和规模配置扭曲程度；相对于非行政垄断行业，行政垄断行业中国有企业混合所有制改革对于人力资本配置扭曲的缓解作用较小。     

浅析新形势下财务管理对石油化工产业的作用

石油化工产业相较于其他的行业具有较大的发展规模,并且具有很强的经济实力。在开展日常管理工作中,相关事务较为繁杂,尤其是企业管理层具有较为复杂的结构,经营的主要业务为国家原油及与化工有关的产品,因此,其经营活动有着较高的风险。在这样的情况下,石油化工企业为了自身的可持续发展,应该确保财务管理工作与自身发展趋势相符合。