Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings

This study examines customers’ adoption and acceptance of smartphone apps to book their flight tickets. By integrating customers’ innovativeness, involvement and perceived trust as additional variables, this study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) and proposes a theoretical model that includes seven explanatory variables of the customers’ behavioural intentions: performance expectancy, effort expectancy, social influence, facilitating conditions, customers’ innovativeness, customers’ involvement and perceived trust. Data were collected from 369 customers who had booked their flight tickets via smartphone apps and was further analysed by employing partial least squares (PLS). Findings suggest that performance expectancy, facilitating conditions, customer innovativeness and perceived trust are positive and significant determinants of customers’ intentions to book their flight tickets on smartphone apps. Accordingly, several important implications for academics and industry decision makers are formulated.     

A reduced PDE method for European option pricing under multi-scale,multi-factor stochastic volatility

The number of tailor-made hybrid structured products has risen more prominently to fit each investor’s preferences and requirements as they become more diversified. The structured products entail synthetic derivatives such as combinations of bonds and/or stocks conditional on how they are backed up by underlying securities, stochastic volatility, stochastic interest rates or exchanges rates. The complexity of these multi-asset structures yields lots of difficulties of pricing the products. Because of the complexity, Monte-Carlo simulation is a possible choice to price them but it may not produce stable Greeks leading to a trouble in hedging against risks. In this light, it is desirable to use partial differential equations with relevant analytic and numerical techniques. Even if the partial differential equation method would generate stable security prices and Greeks for single asset options, however, it may result in the curse of dimensionality when pricing multi-asset derivatives. In this study, we make the best use of multi-scale nature of stochastic volatility to lift the curse of dimensionality for up to three asset cases. Also, we present a transformation formula by which the pricing group parameters required for the multi-asset options in illiquid market can be calculated from the underlying market parameters.     

How technological innovation affects the structure of an industry: entrepreneurship evolution in the biotechnology and pharmaceutical industry since 1980

Challenges faced by the biotechnology and pharmaceutical industry, including reduced R&D productivity and the expiration of drugs that are high in demand, are recently being addressed through technological innovation. Such innovations are highly likely to change the structure and functioning of the industry. Since 2000, biotechnology and pharmaceutical companies have actively made strategic alliance, and technological innovations have changed the source of innovation from R&D to entrepreneurship within the industry. In this study, we identify the evolution of entrepreneurship and discuss the changes caused by technological advancements since 1980 by analysing patterns of exporting and acquiring technology data from Medtrack. Over difference period, biopharmaceutical firms have gained new knowledge and improved technology, and have implemented this newly acquired knowledge and innovation to introduce drugs to the market.     

Effective Post‐Signing Market Check or Window Dressing? The Role of Go‐Shop Provisions in M&A Transactions

This paper examines the use of go‐shop provisions in M&A. We find that go‐shop deals tend to have higher deal premiums and receive more competing bids while the length of the go‐shop period does not affect deal premium and competition. Also, deals are less likely to be completed when a go‐shop provision is included and when the go‐shop length is longer. However, go‐shops have no effect on the completion of high premium deals. We also find that the presence of a go‐shop provision leads to a positive market reaction to deal announcements. Overall, our findings support the proposition that go‐shops reflect the efforts of target managers to fulfill the Revlon duties in the form of a post‐signing market check, which is consistent with stewardship theory.     

The role of co-managers in reducing flotation costs: Evidence from seasoned equity offerings

We examine the effect on expected flotation costs of including co-managers in the underwriting syndicate. We consider five components of SEO flotation costs: announcement returns, underpricing, the probability of withdrawals, offering delays, and underwriting spreads. The results show that the characteristics of co-managers participating in syndicates have significant effects on flotation costs, while the effect of the number of co-managers is largely insignificant. Our results are consistent with the notion that highly reputable underwriters and commercial banks serving as co-managers serve a certification role, reducing information asymmetries and, as a result, lowering SEO flotation costs.     

Do foreign banks increase competition? Evidence from emerging Asian and Latin American banking markets

In this paper we examine the impact of foreign bank penetration on the competitive structure of domestic banking sectors in host emerging economies. We focus our analysis on Asia and Latin America during the period 1997-2008. Using bank-level panel data to identify foreign banks and to estimate measures of banking competition, we are able to provide robust empirical evidence that an increase in foreign bank penetration enhances competition in these host countries’ banking sectors. We find that this positive foreign bank penetration and banking competition link is associated with a spillover effect from foreign banks to their domestic counterparts. This spillover effect becomes stronger when more efficient and less risky foreign banks enter into less concentrated host country markets. We also find that the spillover effect is greater when foreign banks enter in the form of ‘de novo penetration’ than through mergers or acquisitions of domestic banks (‘M&A penetration’).     

The linkage between the US and Korean stock markets: the case of NASDAQ, KOSDAQ, and the semiconductor stocks

This paper examines the interrelationship between stock prices in the US and Korea by applying the vector autoregression (VAR) model to the daily stock prices at three different level of aggregation – the national aggregate index level, the high-tech industry level and the semiconductor firm level – for the period of July 1996 through February 2001. The major findings of this study are as follows. First, the US stock market plays a leading role over the Korean market at every level of aggregation. The reverse direction of influence, from Korea to the US, was found to be minimal. Second, the evidence also suggests that the speed of transmission of innovation from the US to Korea is swift and finished for the most part within a 24-h period, although it takes three or four days to complete the whole process. Third, the influence of the US stock prices on Korean stock prices, which is measured by the innovation transmission using the impulse–response function (IRF) analysis, seems to be somewhat stronger in the composite national stock price indices and the tech-laden indices than high-tech firms. Fourth, at the firm level, the influence of Micron Technology on the leading semiconductor manufacturers in Korea is shown to be strong and persistent by passing about 34 percent of its innovations to the Korean firms within the three-day period. The impact of IBM and Intel on the Korean chip makers seems to be relatively smaller. Finally, stock prices in Korea, national stock price indices and individual high-tech stocks alike, have become much more responsive to innovations in the US stock prices after the 1997 financial crisis. The implications of the main findings in this paper are also discussed.     

A day without a search engine: an experimental study of online and offline searches

With the evolution of the Web and development of web-based search engines, online searching has become a common method for obtaining information. Given this popularity, the question arises as to how much time people save by using search engines for their information needs compared to offline sources, as well as how online searching affects both search experiences and search outcomes. Using a random sample of queries from a major search engine and a sample of reference questions from the Internet Public Library (IPL), we conduct a real-effort experiment to compare online and offline search experiences and outcomes. We find that participants are significantly more likely to find an answer on the Web (100 %), compared to offline searching (between 87 % and 90 %). Restricting our analysis to the set of questions in which participants find answers in both treatments, a Web search takes on average 7 (9) minutes, whereas the corresponding offline search takes 22 (19) minutes for a search-engine (IPL) question. Furthermore, while raters judge library sources to be significantly more trustworthy and authoritative than the corresponding Web sources, they judge Web sources as significantly more relevant. Balancing all factors, we find that the overall source quality is not significantly different between the two treatments for the set of search-engine questions. However, for IPL questions, we find that non-Web sources are judged to have significantly higher overall quality than the corresponding Web sources. In comparison, for factual questions, Web search results are significantly more likely to be correct (66 % vs. 43 %). Lastly, post-search questionnaires reveal that participants find online searching more enjoyable than offline searching.     

The demographic cycle and optimal schooling choices

A model is developed that enables the authors to estimate the effects of demographic cycles on both earnings and schooling. The model is tested using data from the 1991 Korean Occupational Wage Survey. The results indicate that cohorts following large birth cohorts in the cycle choose relatively less formal schooling compared to pre-peak cohorts, and that post-peak cohorts also have lower incomes. This result concerning South Korea is consistent with findings from previous studies concerning the United States.