CEO regulatory focus and myopic marketing management

This study details the mechanisms on how CEO regulatory focus affects the salience of the gains versus losses involved in myopic marketing decision-making, and how such CEO psychological attributes interact with internal equity-based compensation, external pressure from equity analysts, and environmental turbulence to affect firms’ myopic marketing management propensities. We find that when faced with short-term earnings pressure to meet earnings expectations and when time is no longer a resource, predominantly promotion-focused are more likely to engage in myopic marketing management to benefit from the temporary stock price increase, which comes from meeting or beating earnings expectations. Conversely, predominantly prevention-focused CEOs are less prone to such short-termist actions which results in long-term value loss. For the moderating variables, we find that: (1) equity-based compensation tends to attenuate myopic marketing tendencies of promotion-focused CEOs but have no impact on prevention-focused CEOs, (2) whether equity analysts improve monitoring or aggravate short-term earnings pressure depends on the CEO’s regulatory focus, and (3) environmental turbulence does not increase the myopic marketing management tendencies of predominantly promotion-focused CEOs but rather intensifies the relunctance of prevention-focused CEOs to take short-termist actions. We further find that myopic marketing management mediates the impact of CEO regulatory focus on future firm performance. These findings have important implications for firms and boards when selecting new CEOs and structuring the compensation of existing CEOs. Firms need to simultaneously consider the fit between the CEOs’ regulatory focus, firms’ needs, the business environment, as well as CEO compensation structure.     

Viewpoint: Regulating meat consumption to improve health,the environment and animal welfare

Meat consumption has increased significantly in the last 50 years. This trend raises various health and environmental issues, as well as moral concerns regarding farm animal welfare. In this paper, we discuss the regulation of meat consumption in developed countries. Specifically, we discuss possible justifications for this regulation in terms of environmental, health and animal welfare considerations, as well as the effect of fiscal, informational and behavioral regulatory instruments. Finally, we present a list of challenges that policy makers and food scholars may need to confront in the future.     

结构嵌入、动态能力与组织绩效:一个混合模型

供应链企业对外部关系网络的结构性嵌入，有利于其获取更多异质性资源，这为组织绩效提升奠定了基础。在构建结构嵌入、动态能力与组织绩效关系混合模型的基础上，实证检验了结构嵌入对组织绩效的影响。研究结果表明：结构嵌入与组织绩效间存在显著的倒“U”型关系，即结构嵌入具有“拐点”效应，过高水平的结构嵌入不利于组织绩效提升；环境动态性在结构嵌入对组织绩效的影响中发挥有中介的调节作用；学习能力和创新能力在结构嵌入对组织绩效的影响中存在有调节的中介效应。     

组织遗忘、组织即兴与环境动态性视角下企业原始性创新构建路径

原始性创新是企业获得核心竞争力的关键，但当前对企业如何获得原始性创新的研究严重不足。为此，以我国环渤海经济带179家高技术企业为样本，从组织遗忘和即兴角度研究原始性创新形成问题，并进一步分析环境动态性在组织遗忘和原始性创新间的作用。结果发现：组织遗忘和组织即兴对原始性创新具有积极效应；组织即兴在组织遗忘和原始性创新间发挥着部分中介作用；环境动态性对组织遗忘和原始性创新的关系具有正向调节效应。     

Airports’ managerial human capital,ownership, and efficiency

Airport performance differences require a better understanding of the sources of efficiency and competitive advantages. Globalization drives the air transport industry into a more market-orientated business questioning the relationship between managerial decisions and airport performance. Aviation management studies do not consider managerial capabilities and skills since they are intangible exogenous factors that are difficult to assess. In this study, a stochastic frontier analysis is performed accounting for top managers' theoretical knowledge and experience enclosed as exogenous drivers of airports' efficiency. The model analyses 12 Polish airports from 2009 to 2017. The results show a diversity of airports with a different number of passengers as efficient. The top managers' experience, when gained in the same airport, has a positive impact on airports' technical efficiency. Airports having unstable management are more technically inefficient. Independently of the efficiency level, some airports change their management after the national elections, suggesting that managers are chosen by political interest rather than by their specialised knowledge or their prior experience in aviation management. The results suggest that more practical knowledge improve airports’ performance. Airports with a majority of government ownership that are the largest ones increase their efficiency significantly, suggesting that political decisions may be discriminatory in detriment of airports managed by regional and city authorities.     

创新生态系统视角下价值共创如何影响企业创新绩效——一个有调节的中介模型

以创新生态系统为视角，引入创新资源互动与生态系统规范机制为中介变量和调节变量，探究价值共创如何影响企业创新绩效。基于307家企业样本数据，运用结构方程模型、Bootstrap和层级回归方法对数据进行分析。研究发现：创新生态系统中，价值共创不完全直接影响企业创新绩效；创新资源互动部分中介价值共创对企业创新绩效的影响；生态系统规范机制部分正向调节价值共创对创新资源互动的影响。最后提出，创新生态系统调控方与企业要差异化地制定提升创新绩效的实施方案，营造活跃的创新资源互动氛围，形成并完善系统内生态规范机制。     

The puzzle of greenhouse gas footprints of oil abundance

The present inquiry lays a groundwork for the analysis of the net greenhouse gas (GHG) footprint of oil in the oil-abundant settings. To address the research question, the study puts forward a three-sector decision model, which provides a common ground for the assessment of the interaction of the structuralist and institutional factors influencing environmental pollution in the oil-reliant economies. The study shows that fossil-fuel abundance triggers forces, which induce diametrically opposed effects concerning atmospheric pollution. These are the rising carbon-intensive oil extraction and processing and fossil-fueled power generation versus shrinkage of the carbon-intensive manufacturing and growth of the low-carbon tertiarization. The theoretical analysis enables compartmentalization of the essential factors, which determine GHG emissions in the respective countries. To assess the significance of the proposed theoretical framework, the study employs multivariate panel co-integration techniques and two-stage fixed effects estimations for a dataset of 38 oil-producing countries for the time period between 1960 and 2018. In contrast to the existing literature, this study drives apart from the black box approaches that employ just one omnibus variable, per capita income.     

Environmental Actions and Consumer Participation: Which Impacts on Brand Relationship? The Multiple Realities of the Hospitality Sector

This paper focuses on the complex causal relationships between consumers’ attitude towards environmental actions, their participation in the hospitality supply and their brand relationship from different perspectives. These relationships are modelled by using fuzzy-set Qualitative Comparative Analysis (fsQCA) on a sample of hotels. The findings show that for each kind of participation, attitude of consumer regarding environmental actions appears to be a necessary condition. Various paths are identified to explain consumer brand relationship in budget and luxury hotels. The models have a good predictive validity and provide useful recommendations in the understanding of consumer behaviors.     

债务违约、社会责任与政府支持

转型期中国，地方国有企业作为地区经济发展的一股中坚力量，当其发生债务违约时，作为实际控制人的地方政府究竟是否愿意提供支持，会优先选择哪些企业提供支持，政府的支持行为是否会影响到信贷资源的配置效率呢?为得到验证，文章选取2007-2016年沪深A股地方国有上市企业作为研究样本，实证分析了地方国企发生债务违约后，地方政府的支持行为及其对信贷资源配置效率的影响。研究结论表明：第一，地方国企发生债务违约后，地方政府会提供更多的"支持"，且支持额度与债务违约额呈显著正相关关系；第二，债务违约前，承担了更多社会责任（环保投资、捐赠以及就业等）的地方国企，在债务违约后可相应地获得更多的地方政府支持；第三，违约企业，尤其是得到更多政府支持的违约企业可获得更多的信贷资源，而其经营业绩却往往更差。由此表明政府干预一定程度上降低了信贷资源配置效率。     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.