CEO internal experience and voluntary disclosure quality: Evidence from management forecasts

Internally‐promoted CEOs should have a deep understanding of their firm's products, supply chain, operations, business climate, corporate culture, and how to navigate among employees to get the information they need. Thus, we argue that internally‐promoted CEOs are likely to produce higher quality disclosure than outsider CEOs. Using a sample of US firms from the S&P1500 index from 2001 to 2011, we hand‐collect whether a CEO is hired from inside the firm and, if so, the number of years they worked at the firm before becoming CEO. We then examine whether managers with more internal experience issue higher quality disclosures and offer three main findings. First, CEOs with more internal experience are more likely to issue voluntary earnings forecasts than those managers with less internal experience as well as those managers hired from outside the firm. Second, CEOs with more internal experience issue more accurate earnings forecasts than those managers with less internal experience as well as those managers hired from outside the firm. Finally, investors react more strongly to forecasts issued by insider CEOs than to those issued by outsider CEOs. In additional analysis, we find no evidence that these results extend to mandatory reporting quality (i.e., accruals quality, restatements, or internal control weaknesses), perhaps because mandatory disclosure is subjected to heavy oversight by the board of directors, auditors, and regulators. Overall, our findings suggest that when managers have work experience with the firm prior to becoming the CEO, the firm's voluntary disclosure is of higher quality.     

中国国有企业改革：经验、困境与出路*

作为国有企业产权改革主要模式，“混合所有制”改革是否有助于确保国有资产保值增值，是否有助于推动中国经济可持续发展等问题仍存在探讨空间。本文基于对于改革开放以来中国国有企业改革的成就和教训的考察，指出“混合所有制”可以作为竞争性部门国有企业改革的一个过渡形式；对于垄断央企的改革应该充分借鉴国际上自然垄断行业的改革经验，打破行政垄断，推动竞争性框架建立，并切实实现从“管企业”逐步调整为“管资本”，通过改革实现国有资产的保值增值，并为经济创造新的增长点。     

Crowdsourcing-based semantic relation recognition for natural language questions over RDF data

ABSTRACT

Natural language query systems over RDF data need to rely on the semantic relations in query. First, we propose the new crowdsourcing model that used to produce semantic relations dataset. The model not only inherits completeness of the iterative model and accuracy of the parallel model, but also saves human resources. Second, we mine the rules of semantic relation recognition from the correlations between dependency structures and semantic relations. Third, we propose an algorithm of semantic relation recognition for natural language query over RDF data, and experiments demonstrate that it can recognize more semantic relations than existing methods.     

Effects of export product diversification on quality upgrading: an empirical study

This paper empirically examines the effects of export product diversification on overall export quality in a panel data set of 115 countries from 1970 to 2010. It uses the data sets of the overall export quality and three export diversification measures of the International Monetary Fund: the extensive margin (variation in the number of new products exported), the intensive margin (variation in export values among existing exports), and the overall (Theil) index. It finds that export quality has only been increasing with a higher variation in export values among existing exports in low- and lower-middle-income countries. It also observes that export quality has been increasing with both a higher variation in export values among existing exports and new products exported in upper-middle- and high-income countries. The results are robust to the changing measures of controls in the benchmark model, the inclusion of many other controls; i.e. various measures of globalization, country size, factor endowments, macroeconomic stance, etc., and the exclusion of outliers.     

Advancing environmental productivity: Organizational mindfulness and strategies

This study investigates the importance of mindfulness‐based organization systems and policies on the organization's continuous efforts to become a greener company. The study is devised as a pooled cross‐sectional time series analysis of productivity in energy consumption, water utilization, and waste generation and recycling of U.S. companies. The data set taken from U.S. Newsweek 500 recorded 600 companies dispersed into 63 industries during the period of 2012–2014 and provided 1,498 company–industry–year observations. The study found that systems and policies (e.g., deployment of third‐party auditors for its environmental metrics report; linkage of the remuneration of company's senior executive team with the achievement of environmental performance targets; and establishment of a committee at the Board of Directors' level whose mandate includes sustainability of the company in environment‐ and resource‐related matters) connect the company's mindfulness to its effort in improving the environmental quality through the company's productivity in energy consumption, water utilization, and waste generation and recycling. The relationships are positive and significant. Also, systems and policies serve as a motivator for the firm to continue to improve upon the current achievements. The study emphasizes the importance of translating organizational and individual mindfulness into organization policies and systems in order to motivate the organization to continuously improve its productivity in energy consumption, water utilization, and waste generation and recycling leading to improvements in environmental quality.     

Multi-stakeholders’ assessment of bike sharing service quality based on DEMATEL–VIKOR method

ABSTRACT

Bike sharing is a sustainable mode of urban transportation. Assessing the perceived service quality is essential to improve the development of bike sharing. Most of the existing research evaluates the service quality of bike sharing only from the perspective of its users. This study assesses the perceived quality gap among four different stakeholders including government regulators, platform operators, bike association and users. First, an evaluation criteria system consisting of sixteen criteria obtained from the five dimensions of tangibles, reliability, responsiveness, assurance and empathy is constructed based on a revised service performance model. Thereafter, a hybrid multi-criteria decision-making model that combines Decision-Making Trial and Evaluation Laboratory (DEMATEL) with VIsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is proposed. Then, the model is applied to evaluate the service quality of bike sharing in Xi’an City. Finally, some useful suggestions are given to improve the bike sharing service quality from the perspective of multi-stakeholders.     

Multigroup validation of the service quality,customer satisfaction and performance links in higher education

The notion of ‘students as customers’ continues to be prominent, yet is insufficiently explored, especially from the standpoint of various stakeholders. To address this inadequacy, the present study employs a multigroup analysis of the service profit chain (SPC) model in higher education (HE). Its purpose is to examine the complete SPC model regarding stakeholder perceptions in order to inform its validation and implementation. A cross-sectional survey was employed in order to enable multigroup comparison of a comprehensive research model on subsamples of employees and students by means of structural equation modeling (SEM). Results provide support for the proposed SPC model within the sample of vocational colleges. Besides strongly linked constructs (quality–satisfaction–loyalty), some notable weaknesses (cracked ‘satisfaction mirror’) are found. Multigroup analysis also indicates some important differences between employees and students. Implications are provided for strategic service management in HE, which should acknowledge the differences among stakeholder perceptions.     

创新驱动产业转型升级研究——基于中国1998-2016年省域面板数据

为了探究创新驱动产业转型升级的作用机制,构建了创新投入与创新产出对产业转型升级内涵质量与外显效应的影响模型,并提出研究假设。基于中国1998-2016年省域面板数据,借助Eviews 9.0计量软件,采用固定效应模型进行实证研究。结果表明,所提出的研究假设均得到验证。创新产出对产业转型升级内涵质量具有积极影响,创新产出的各表征变量(专利授权数、技术市场合同成交金额、新产品销售收入)每增长1%,产业转型升级内涵质量的表征变量人均国内生产总值将提高0.014 8%～0.051 1%。创新投入对产业转型升级外显效应具有积极影响,创新投入的各表征变量(R&D经费内部支出、R&D人员全时当量)每增加1%,产业转型升级外显效应的表征变量产业结构层次系数将提高0.007 1%～0.010 5%。因此,创新能够驱动产业转型升级,但创新投入与创新产出对产业转型升级的影响机制并不相同。研究结果为创新驱动产业转型升级问题的研究提供了一个新的研究范式,对实施创新驱动发展战略、促进产业转型升级有借鉴意义。