Surprising information,the MDH,and the relationship between volatility and trading volume

This paper explains the concept of surprising information with a sign effect. Employing the mixture of distribution hypothesis (MDH), this paper also theoretically demonstrates that the effect of surprising information on the relationship between volatility and trading volume contrasts with that of general information, and proposes a method to detect the unobservable surprising information. Furthermore, incorporating surprising information with a sign effect, this paper suggests an information-type switching GARCH-V model. Strong evidence in favor of the model specification over the standard GARCH models is based on empirical application with high frequency data, supporting the dependence of the relationship between volatility and trading volume on the type of information.     

Explaining post‐IPO venture performance through a knowledge‐based view typology

We extend the knowledge‐based view with a new typology and its application to post‐IPO firm performance. The typology categorizes knowledge development activity along the dimensions of familiarity (whether the firm has experience with the knowledge or it is new) and source (whether the firm creates it independently or with partners). We use this typology to determine direct and interaction effects of knowledge development activity on survival, RoA, and Tobin's q of newly public firms. Using a sample of 1,056 high‐technology manufacturing IPOs in 1990–2005, we find that focused, internal knowledge development correlates with higher performance. We also find a positive interaction effect in combining focused, internal and diversifying, alliance‐based knowledge development, and a negative interaction effect in combining diversifying, internal and alliance‐based knowledge development. Copyright © 2013 John Wiley & Sons, Ltd.     

How does the second-order learning process moderate the relationship between innovation inputs and outputs of large Korean firms?

We investigate how the second-order learning process moderates the relationship between innovation performance and two types of knowledge seeking behavior, namely exploration and exploitation. We reinvestigate the second-order learning process of the top 100 Korean firms from 1997 to 2007 by capturing CEO turnover, board turnover, and R&D alliances. We argue that the current findings about exploration and exploitation should be reclassified in terms of innovation input and output. We suggest that researchers investigate the organizational learning process to understand the link between innovation inputs and outputs. Our empirical results show that while innovation inputs are not related to exploratory outputs, the second-order learning process reshapes the relationship between both exploration/exploitation type innovation inputs and exploratory innovation outputs, and that the new focus of organizational learning process can refine current innovation literature.     

Ambiguity Acceptance as a Function of Project Management: A New Critical Success Factor

This research examines the relationship between ambiguity acceptance and customer and organizational outcomes within the Six Sigma improvement project context. Results find a curvilinear relationship between open communication and customer outcomes for project leaders. Results of multiple regression find a significant positive relationship between open communication and organization outcomes, as well as a significant positive relationship between ambiguity acceptance and customer and organizational outcomes for team leaders, while there is a significant positive relationship between ambiguity acceptance and customer and organizational outcomes for team members. Theoretical and practical implications are examined.     

Looking Attractive until You Sell: Earnings Management,Lockup Expiration,and Venture Capitalists

Earnings management occurs when managerial discretion allows managers to influence reported earnings and thus mislead some investors about the underlying economic performance and quality of the firm. This study considers how potential investors may guard against earnings management by observing negative stock price reaction at the lockup expiration period of initial public offering (IPO) firms as a negative signal. Findings from a sample of 160 newly public firms show that earnings management behaviour is stronger in IPO firms backed by venture capitalists (VCs). Moreover, VC reputation negatively moderates this relationship such that IPO firms backed by reputable VCs are less likely to manage earnings, suggesting that reputable VCs serve an auditing function following an IPO. Overall, we provide insights into signalling theory by examining negative signals arising from the behaviour of multiple agents in an IPO firm.     

Bootstrapping cointegrating regressions

In this paper, we consider bootstrapping cointegrating regressions. It is shown that the method of bootstrap, if properly implemented, generally yields consistent estimators and test statistics for cointegrating regressions. For the cointegrating regression models driven by general linear processes, we employ the sieve bootstrap based on the approximated finite-order vector autoregressions for the regression errors and the first differences of the regressors. In particular, we establish the bootstrap consistency for OLS method. The bootstrap method can thus be used to correct for the finite sample bias of the OLS estimator and to approximate the asymptotic critical values of the OLS-based test statistics in general cointegrating regressions. The bootstrap OLS procedure, however, is not efficient. For the efficient estimation and hypothesis testing, we consider the procedure proposed by Saikkonen [1991. Asymptotically efficient estimation of cointegration regressions. Econometric Theory 7, 1–21] and Stock and Watson [1993. A simple estimator of cointegrating vectors in higher order integrating systems. Econometrica 61, 783–820] relying on the regression augmented with the leads and lags of differenced regressors. The bootstrap versions of their procedures are shown to be consistent, and can be used to do asymptotically valid inferences. A Monte Carlo study is conducted to investigate the finite sample performances of the proposed bootstrap methods.     

Digital identity: How users value the attributes of online identifiers

This paper examines online identifiers from an economic perspective. It uses conjoint analysis survey techniques to develop empirical data on how users value the attributes of online identifiers. It is concerned in particular with three issues: (1) the degree to which identified subjects value increasing the scope of an identifier, i.e., the ability to use a single identifier to access services offered by several organizations; (2) the degree to which users’ choice may be constrained by switching costs; and (3) the value individuals place on privacy and data security relative to other attributes such as cost or scope. The survey population was located in South Korea. The results indicate that e-mail addresses dominate the world of online identifiers for ordinary consumers; that consumers highly value increased scope (e.g., single sign-on capabilities) and the security of their private data; and that switching costs are high.     

Evidence of latecomers’ catch-up in CoPS industries: a systematic review

ABSTRACT

There has been a controversial issue in existing literature regarding whether latecomers can catch up in Complex Products and Systems (CoPS) industries. In an attempt to address this issue, we employ systematic review method and analysed 39 previous studies. We found substantial evidences of catch-up or leapfrogging in CoPS industries. The catch-up patterns in the CoPS industries were similar to those in the mass-produced goods sectors. There were 15 success or failure factors for catch-up across CoPS industries, and the top five most frequently appeared factors were government support, technology transfer, in-house R&D, industry ecosystem or cluster, and external alliances.     

The changing pattern of SME's innovativeness through business model globalization

Globalization has forced small and medium enterprises to change business models with new innovative capabilities. However, it is not clear what those old and new business models are let alone capabilities. Challenging this, we suggest a way of identifying principal types of those business models, and of finding evolving paths of SME's business models with the changing pattern of innovativeness. Based on a survey result of 400 Korean SMEs, four principal types of business models are identified and characterized by distinctive innovativeness. Also, through interviews and additional surveys on 30 globalized SMEs, the four evolving paths of SME's BMs are explored. For small and medium enterprises, our research can be used not only as a strategic reference, but also as a policy tool to design government-funded supporting programs.     

Does Occupational Training by the Trade Adjustment Assistance Program Really Help Reemployment? Success Measured as Occupation Matching

The Trade Adjustment Assistance Program provides various retraining opportunities to workers displaced due to import competition. This paper investigates whether successful skill acquisition through training—as opposed to general exposure to federal assistance—improves the post‐participation outcomes using the Trade Act Participant Report. Success in skill acquisition is indicated by a match between occupations of training and entered employment. The average matching rate for the sample is 37.53%. Trainees with a match display wage replacement rates that are 2 to 3 percentage points higher than those without one, while they display very similar post‐participation earnings that are inferior to that of non‐trainees. This generally indicates that participants with limited skill sets with lower pre‐participation earnings select into training, and successful skill acquisition offsets the negative impacts of their lack of marketable skills. Matching itself does not improve the retention at the job. However, participation in various training programs improves retention.