变革中多渠道信息传递对员工绩效的影响机制

面对日趋复杂的外部环境,组织变革成为企业获得竞争力的重要方式。员工参与是组织变革成败的关键,充足的组织变革信息有利于员工积极投入变革。本文以社会信息加工理论为基础,对来自被兼并企业的36个工作团队185名员工进行研究,探索多渠道变革信息传递对员工的影响机制。基于多层次线性模型的数据分析结果表明:(1)变革情境下,组织正式渠道进行信息沟通和变革氛围包含的非正式信息,均能正向促进员工变革绩效;(2)员工所持有的积极变革期望,在多渠道信息传递和变革绩效间起到中介作用;(3)变革氛围跨层调节变革信息沟通对员工积极变革期望的正向作用,相比于低变革氛围情景,具有高变革氛围的团队,通过变革信息沟通更能显著提升员工对变革的积极期望。研究结论对企业变革实践中信息传递和沟通工作具有现实指导意义。     

The importance of career goal in relation to academic performance: a case study of hospitality management students

ABSTRACT

Hospitality management programs have commonly offered exclusive learning opportunities to talented students in order to keep “brains” in the industry. While academic performance indices are often used to identify “brains” in the education sector, scant research has empirically examined whether “brains” are intended to stay in the industry. This study surveyed 304 hospitality management students and examined the relationships between their career-goal related factors and academic performance. Findings indicate that career goal and positive job valence toward the hospitality industry are significantly related to academic performance. The results of this study contribute to the limited literature on the relationship between career goal and academic performance.     

敦煌种业财务绩效评价研究

选择以农业上市公司敦煌种业为研究对象,以企业2014—2019年的报表数据为基础,采用功效系数法并以国务院国资委所编写的《企业绩效评价标准值》中国有企业绩效评价体系作为参考,构建对农业企业的财务指标评价体系,对敦煌种业2014-2019年企业财务指标的表现进行纵向分析,选择同行业中营业收入水平较高的北大荒进行横向对比,通过对比发现敦煌种业的问题主要体现在盈利能力和资产质量方面,对此提出了改进措施及建议。     

The impact of investor structure on stock price crash sensitivity: Evidence from China's stock market

Stock price crash sensitivity refers to the conditional probability of a stock crash when the market collapses. It focuses on individual stocks' sensitivity to the market crash and can affect stock pricing significantly. Although the crash sensitivity of China's stock market is very high as a whole (Weigert, 2016), different individual stocks show varying degrees of crash sensitivity. This paper, adopting the perspective of institutional investors, explores the reasons for the difference in crash sensitivity in China's stock market, and finds that: First, institutional investors' shareholdings is positively related to firms' stock price crash sensitivity. However, after dividing institutional investors into professional (represented by financial institutions) and non-professional institutional investors (represented by general legal persons), we find that only professional institutional investors' shareholdings is negatively related to firms' stock price crash sensitivity. Second, the impact of professional institutional investors on the crash sensitivity is influenced by stock liquidity and media sentiment: when the stock liquidity of listed companies is good or the media sentiment is strong, the negative impact of professional institutional investors on the crash sensitivity is accordingly high. This paper, by highlighting the investor structure, attempts a pioneering exploration of the influencing factors of the difference in stock price crash sensitivity in China. Our empirical results enrich research on stock price crash sensitivity and the heterogeneity of institutional investors. They can also serve to guide regulatory authorities' development of institutional investors and efforts to maintain market stability.     

Microdata analysis of the consequences of free trade port policy: the case of Iran free zones

ABSTRACT

Creating free trade zones as a policy to motivate new investment and improve the local economic indicators might be of some benefits. Following of this policy in Iranian major port, however, resulted vice versa by aggravating the current account balance that is higher imports and the same horizon diminished export sums. We derive the micro data of trade for the Iranian major Imam port according to code arrangements of harmonic system (HS), which permits the clustering of different goods categories. Then we extracted the sums of survey data for the years before and after Imam port became free trade zone and applied fixed effect difference in difference (DID) method to capture the heterogeneity of unobserved variables. Our control port of analysis was Rajaee port the policy did not implemented. Results show that just as Imam free port’s Current Account Balance deteriorated by increasing import and dampening of export sums.     

Financial crises,debt overhang,and firm growth in transition economies

ABSTRACT

We examine the effects of the global financial crisis of 2008 and the European debt crisis of 2011 on the relationship between capital structure, investments, and performance for Eastern European companies. While the existing literature documents how firms’ investments are sensitive to the availability of internal funds and to debt holdings, we further investigate whether this investment sensitivity also translates in different levels of performance, and document that capital structure indeed has both a direct and an indirect effect, mediated by the capital expenditure channel. We show that firms with higher financial flexibility experience higher investments and returns on capital. Over-levered firms instead suffer from a debt overhang condition, forcing them to curb investments, and consequently experiencing lower performance. Overall, we provide evidence on the importance of capital structure and financial flexibility on investments and performance, showing the real consequences of the debt overhang condition on firm value creation. Firms should therefore aim at maintaining adequate financial flexibility in order to be able to pursue future profitable investment opportunities, and avoid the under-investment problem arising from a debt overhang situation.     

Productivity Dispersion and Measurement Error

Several reasons have been put forward to explain the high dispersion of productivity across establishments: quality of management, different input usage and market distortions, to name but a few. Although it is acknowledged that a sizable portion of productivity dispersion may also be due to measurement error, little research has been devoted to identifying how much they contribute. We outline a novel procedure for identifying the role of measurement error in explaining the empirical dispersion of productivity across establishments. The starting point of our framework is the errors-in-variable model consisting of a measurement equation and a structural equation for latent productivity. We estimate the variance of the measurement error and subsequently estimate the variance of the latent productivity variable, which is not contaminated by measurement error. Using Norwegian data on the manufacture of food products, we find that about one percent of the measured dispersion stems from measurement error.     

When is Effort Contagious in New Venture Management Teams? Understanding the Contingencies of Social Motivation Theory

Consistent with social motivation theory, prior research on managerial motivation suggests that effort is contagious across management team members. In this study, we draw on belongingness theory to develop a model on important boundary conditions to social motivation theory in the management team context. The model predicts that new venture managers react to their teammates’ higher effort levels by investing higher effort levels themselves primarily when they are confronted with a threat – namely, low venture performance and high environmental hostility – but that effort is less contagious when managers face little threat. We test our model with a sample of 103 new venture managers nested in 51 management teams in a longitudinal setting capturing managerial effort over 26 weeks. While we do not find a direct relationship between teammates’ effort and a new venture manager’s subsequent effort, we find support for the crucial role of threat in triggering the contagion of managerial effort. We discuss the contributions of our study for research on management teams, performance feedback, and entrepreneurial effort in new ventures.     

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.     

Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers

Data envelopment analysis (DEA) has recently become relatively popular with road safety experts. Therefore, various decision-making units (DMUs), such as EU countries, have been assessed in terms of road safety performance (RSP). However, the DEA has been criticized because it evaluates DMUs based only on the concept of self-assessment, and, therefore does not provide a unique ranking for DMUs. Therefore, cross efficiency method (CEM) was developed to overcome this shortcoming. Peer-evaluations in addition to self-evaluation have made the CEM to be recognized as an effective method for ranking DMUs. The traditional CEM is based only on the standard CCR (Charnes, Cooper and Rhodes) model, and it evaluates DMUs according to their position relative to the best practice frontier while neglecting the worst practice frontier. However, the DMUs can also be assessed based on their position relative to the worst practice frontier. In this regard, the present study aims to provide a double-frontier CEM for assessing RSP by taking into account the best and worst frontiers simultaneously. For this purpose, the cross efficiency and cross anti-efficiency matrices are generated.Even though a weighted average method (WAM) is most frequently used for cross efficiency aggregation, the decision maker's (DM) preference structure may not be reflected. For this reason, the present study mainly focuses on the evidential reasoning approach (ERA), as a nonlinear aggregation method, rather than the linear WAM. Equal weights are often used for cross efficiency aggregation; consequently, the effect of the DM's subjective judgments in obtaining the overall efficiency is ignored. In this respect, the minimax entropy approach (MEA) and the maximum disparity approach (MMDA) are applied for determining the ordered weighted averaging (OWA) operator weights for cross efficiency aggregation. The weighted cross efficiencies and cross anti-efficiencies are then aggregated using the ERA. Finally, the proposed method, called DF-CEM-ERA, is used to evaluate the RSP of EU countries as well as Serbian police departments (PDs).