Does Alibaba's Magic Work Outside China?

Alibaba was an established e‐commerce giant in the Chinese online retail industry. In 2014, it recorded the world's largest initial public offering (IPO), raising a total of $25 billion. Alibaba's groundbreaking IPO and continuous growth in China had raised speculation on its imminent and potential expansions into other countries including the United States. On the other hand, Amazon and eBay had been leaders in the e‐commerce industry of the United States, arguably the world. This case seeks to weigh the potential success of Alibaba should it choose to expand outside its home country, China, including the United States. This case also helps understand how the Chinese business environment influenced the success of Alibaba, relative to other countries. © 2015 Wiley Periodicals, Inc.     

Market Liquidity and Ambiguity: The Certification Role of Corporate Governance

We investigate how firm‐specific certification practices through corporate governance can reduce perceived ambiguity and thus enhance liquidity of a firm in the stock market. We show that better corporate governance helps reduce ambiguity. In addition, a reduction in ambiguity is significantly related to higher liquidity of firms. Our results are robust to alternative model specifications and measures of ambiguity, and remain statistically significant after controlling for other known determinants of ambiguity and liquidity. Our results shed light on how ambiguity can be moderated through firm‐level certification practices and on the channel through which a moderation of ambiguity affects shareholder wealth.     

Equity‐Based Incentives,Risk Aversion,and Merger‐Related Risk‐Taking Behavior

We find that post‐merger equity risk is negatively related to the sensitivity of CEO wealth to stock return volatility (vega), but is concentrated in CEOs with high proportions of options and options that are more in‐the‐money. The probability of industrial diversification also increases in vega. Additional tests show that the decline in post‐merger equity risk results in a significant decrease in shareholder wealth. This decrease is concentrated among firms with CEOs having the highest delta and the highest delta and vega. Our results suggest that the increased convexity provided by option‐based compensation does not necessarily increase risk‐taking behavior by CEOs.     

Revisiting the intertemporal risk–return relation: asymmetrical effect of unexpected volatility shocks

We suggest that an unexpected volatility shock is an important risk factor to induce the intertemporal relation, and the conflicting findings on the relation could be attributable to an omitting variable bias resulting from ignoring the effect of an unexpected volatility shock on the relation. With the effect of an unexpected volatility shock incorporated in estimation, we find a strong positive intertemporal relation for the US monthly excess returns for 1926:12–2008:12. We also find a significant link between the asymmetric mean-reversion and the intertemporal relation in that the quicker reversion of negative returns is attributed to the negative intertemporal relation under a prior negative return shock.     

Does “Vote No” Change Corporate Governance and Firm Value? Evidence from the Shareholder Activism of the Korean National Pension Service

In this paper, we analyze the effect of shareholder activism on firm value through internal corporate governance in an emerging market. We investigate the shareholder activism by the National Pension Service (NPS) of Korea, the fourth-largest pension fund in the world in 2010. We investigate stock price reaction to a “vote no” press announcement and find that the market does not react in the short run, which reaction is inconsistent with the results from developed countries. We also find that firms experiencing “vote no” and improved internal corporate governance have higher firm valuation. Shareholder activism by the NPS is effective in increasing target firm value through improving internal corporate governance.     

Information diffusion and value redistribution among transaction partners of the IPO firm

This paper examines the diffusion of information around the initial public offering (IPO) process and identifies transaction partners on which IPO firms are dependent. Using a resource payments perspective, we argue that this dependence will lead to greater cumulative abnormal stock returns for transaction partners when this information is revealed in the market (when the initial form S‐1 is filed with the SEC). Moreover, we examine the uniqueness of the resource configuration between the IPO firm and transaction partners and find that greater uniqueness is associated with higher valuation for these transaction partners. We also find that multiple dependencies (by the IPO firm) reduce the valuation effect for transaction partners, indicating that a bargaining effect reduces the potential value that any transaction partner can appropriate. Copyright © 2013 John Wiley & Sons, Ltd.     

Differential effects of pre- and post-acquisition R&D expenditures on post-acquisition performance

Drawing from the behavioral theory of the firm and the resource-based view, we argue that different types of R&D (explorative and exploitative) and the timing of R&D investments (pre- and post-acquisitions) have differential effects on post-acquisition performance. By using a sample of 396 technology acquisitions, we find that pre-acquisition explorative and post-acquisition R&D expenditures are more beneficial for post-acquisition performance than are pre-acquisition exploitative and post-acquisition explorative R&D expenditures. Our results also show that firms investing in explorative R&D in the pre-acquisition stage and then exploitative R&D in the post-acquisition stage have better post-acquisition performance than firms that do otherwise.     

A choice-based multi-product diffusion model incorporating replacement demand

This study proposes an integrated forecasting model that incorporates both first purchase diffusion and replacement component of sales in predicting multi-product diffusion patterns. The model consists of a two-stage procedure that customers undertake during purchase occasions according to a diffusion process or replacement process, and at each occasion, they make purchase incidence decisions and product choices according to a choice model. By incorporating various exogenous factors in the choice model, the model can identify the impact of each factor on customers' purchase incidence decisions and choice decisions among various product sub-categories. This approach enables us to understand the overall process of customers' purchasing behavior and to separate total sales amount into sales to three consumer segments: first-time buyers, customers who repurchase the same product category and customers who change their previous product category. We applied the proposed model in the forecasting multi-product framework; forecasting sub-category level automobile sales and brand level mobile terminal sales in the South Korean market. The results of the empirical studies showed that incorporating the replacement components into the multi-product diffusion framework is useful not only in understanding the demand interaction among automobile categories and among mobile handset brands, but also in producing more accurate long-term sales forecasts compared to previous multi-product diffusion models.     

An empirical analysis of the determinants of technology roadmap utilization

For many years now, firms have managed their research and development (R&D) by applying various approaches drawn from the discipline of technology roadmapping (TRM). The underlying rationale of these roadmapping approaches is to align firms' product and technology developments with their business goals. By visually representing firms' technology strategy, roadmaps support intra‐firm communication and facilitate the coordination of strategic decisions and activities within the technology management domain. Most previously published research on TRMs has focused on the design and implementation of roadmapping processes; that is, relatively few empirical or quantitative studies describe the use and evaluation of roadmapping techniques. This paper seeks to address this gap by conducting a survey of 186 different R&D units within stock market‐listed companies in Korea that have implemented TRM. The paper attempts to identify the antecedent factors behind firms' successful use of roadmaps, further identifying correlations between these antecedent factors through an analysis of the R&D units. It also empirically highlights these antecedent factors by empirically analyzing and verifying correlations between roadmap utilization and R&D performance.