When Moral Tension Begets Cognitive Dissonance: An Investigation of Responses to Unethical Pro-Organizational Behavior and the Contingent Effect of Construal Level

Journal of Business Ethics - Research on unethical pro-organizational behavior (UPB) has predominantly focused on its antecedents, while overlooking how engaging in such behavior might affect...     

Trust Erosion During Industry-Wide Crises: The Central Role of Consumer Legitimacy Judgement

Journal of Business Ethics - Widespread unethical corporate misconduct in an industry triggers industry-wide crises. This research investigates how industry misconduct affects consumers’...     

Intrapreneurship model in the software industry

Quality & Quantity - The complexity of business dynamics demands that companies search for alternative ways to ensure their growth and survival. Thus intrapreneurship emerges as an ad-hoc...     

Uncovering asset stripping during China's privatization

This paper empirically studies the occurrence and extent of asset stripping via undervaluing public assets during the mass privatization of state-owned and collectively owned enterprises in China. Using three waves of a national survey of private firms, we provide evidence that state-owned and collectively owned assets were substantially underpriced, indicating the presence of corruption during privatization. Further analysis shows that the extent of underpricing is more severe in regions with less market competition or weaker property rights protection, and more pronounced for intangible assets such as intellectual property rights and land use rights. When comparing firm efficiency between privatized firms and de novo private firms, we find that the former group continues to enjoy considerable preferential treatments, yet significantly underperforms the latter, possibly due to continued government control and intervention. Finally, we provide evidence that insider privatization is an important source of corruption during the privatization process.     

A comprehensive conceptual and bibliometric study of person-centered methodologies

Person-centered approaches, such as latent profile analysis (LPA) and qualitative comparative analysis (QCA), have gained in popularity in organizational scholarship because of their ability to provide insight into how interrelations between a group of conditions can lead to a particular outcome. Despite the growing acceptance of person-centered approaches in social science research, traditional variable-centered approaches continue to prevail, although their dominance is increasingly questioned. This paper offers in-depth analysis of the current state of QCA and LPA from both a conceptual and a bibliometric perspective. This study thus aims to contextualize the role of person-centered methodologies in organizational scholarship. This aim is important, given the significance of exploring novel approaches to advance knowledge in organizational research. This paper provides scholars with quantifiable and readily comparable information on the use of these emerging but promising methods in organizational studies. Ultimately, this scientific contribution sheds light on the current and prospective applications of person-centered methods in research. Moreover, it offers scholars who are considering applying these methods objective analysis of the scientific production in this area thus far.

     

Academic leadership and commercial activities at research institutes: German evidence

This paper focuses on entrepreneurship by academic leaders. With the use of patents, inventions, and spin‐offs to measure commercialization, and directors, research group leaders, and business owners as academic leaders, results, using a sample of more than 2,500 German researchers, show differences across academic leaders and commercialization. Findings for spin‐offs are different from those for patents and inventions. Academic leaders in sciences were more likely to commercialize. Doctoral degrees helped patents by business owners and spin‐offs by group leaders, whereas female business owners and female group leaders faced challenges patenting and inventing, respectively. For business owners, age increased the likelihood of patenting but lowered spin‐offs.     

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

The impact of crude oil inventory announcements on prices: Evidence from derivatives markets

This study examines the impact of weekly crude oil storage announcements on oil futures and options prices. We document evidence of a strong announcement day effect on both markets, and find prices to move in anticipation of the inventory surprise. Futures returns significantly decrease with positive surprises and increase with negative surprises. There is no evidence of an asymmetric impact on futures prices. Near‐the‐money options exhibit the greatest price sensitivity, and the magnitude of the price response of both futures and options declines with maturity. The results remain robust even after controlling for various macroeconomic and other storage‐related news variables.     

IFRS adoption,reporting incentives and financial reporting quality in private firms

This study examines financial reporting quality (FRQ) effects around voluntary International Financial Reporting Standards (IFRS) adoptions by German private firms across two important dimensions, earnings quality and disclosure practices. To capture differences in the motivations for IFRS adoptions, we identify four different types of IFRS adopting firms based on a comprehensive set of firm characteristics. We observe earnings quality improvements around IFRS adoptions primarily for one type of firm, which is young, fast growing and seeking access to public equity markets. Using a matched sample of private German GAAP and IFRS reporting firms, we find some evidence suggesting that IFRS also contribute to higher earnings quality. Recognizing that our earnings quality metrics are only incomplete measures of FRQ, we also compare the disclosure practices of IFRS and German GAAP firms. We find that all IFRS firm types disclose significantly more information in their financial reports and show a higher propensity to publish their financial reports voluntarily on the corporate website. Our findings indicate that failure to identify earnings quality changes around IFRS adoption cannot be automatically interpreted as IFRS adoption having no effect on the FRQ of (private) firms. Collectively, our results suggest that both incentives and accounting standards shape private firms’ FRQ.