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.     

Understanding the human side of openness: the fit between open innovation modes and CEO characteristics

In small- and medium-sized enterprises (SMEs), where typically the decision-making process is highly centralised, important decisions, such as open innovation (OI) adoption, will be strongly influenced by the characteristics of their Chief Executive Officers (CEOs). Pointing the attention to the strategic leadership and human elements, this paper sheds light on the micro-foundation of OI by emphasising the role that the personal traits of key individuals in innovation. OI adoption could result in the enactment of several OI modes – each representing an opportunity of potential change (of market, of technology or/and of the organisation) – and this paper attempts to examine the relationships between the CEO characteristics and each of the OI modes. Our analysis, using Korean SME data, shows that CEOs’ positive attitude, entrepreneurial orientation (EO), patience and education can play important roles in facilitating OI in SMEs. However, this paper also observed that the effects of CEO characteristics on OI adoption were differently configured according to the nature of each OI mode, for example, CEOs’ patience and EO had different impacts depending on the degree of uncertainty in the OI mode. This suggest that OI must be understood as a wide innovation spectrum, and, to increase opportunities for successful OI adoption, CEOs have to attempt to compensate for characteristics they may lack by recruiting appropriate complementary top managements. The research has practical implications for CEOs and policy makers who are interested in enhancing competitiveness of SMEs.     

Interdisciplinarity in design education: understanding the undergraduate student experience

Interdisciplinarity is becoming a critical issue of concern for design schools across East Asia in their attempts to provide industry graduates with the skills and competences to make creative contributions in a global economy. As a result, East Asian higher education institutions are aggressively endeavouring to provide interdisciplinary undergraduate curriculum that combine traditional designerly skills with engineering knowledge and methods. The current study takes an interdisciplinary undergraduate course as case-study to examine how the pedagogic strategy of team teaching influences student learning experience. Two surveys of student learning were conducted for this research purpose. The first provided an indication of the holistic student learning experience, while the second explored the conditions of team and non-team teaching as influence upon learning experiences specifically. Results showed how students taught by a single instructor provided a more positive overall opinion of course quality and experienced significantly more encouragement to participate compared to team taught respondents. However, findings also indicated how team teaching significantly increased the students’ experience of a balanced contribution from different disciplinary perspectives and how the team teaching approach was significantly more effective in providing students with greater opportunities to understand the relevance of the different disciplines to the course subject. We conclude with a discussion of results in terms of the effective use of team teaching at undergraduate level as strategy for interdisciplinary learning experiences.     

What factors of early-stage innovative projects are likely to drive projects’ success? A longitudinal analysis of Korean entrepreneurial firms

Previous studies have identified the factors affecting successful technology commercialization as outcomes of R&D projects. However, most of them have used cross-sectional data, whereas there is a dearth of literature using longitudinal data analysis. Longitudinal analysis is essential for investigating the characteristics of early-stage innovative projects due to the inherent time lag between project evaluation and commercialization. Therefore, this study examines the early-stage project characteristics that can be used as meaningful evaluation criteria for predicting success, particularly in technology commercialization. We collected data on the ex-ante evaluation results and ex-post commercialization results of R&D projects pursued by entrepreneurial firms. We then conducted a logistic regression analysis and identified three market-related factors as significant in driving technology commercialization success in the early stages of technology development: market potential, commercialization plan, and market condition.     

中小企业新产品开发与技术转让--中英国际合作机遇探讨

一、研究背景 自八十年代以来中国经济快速增长,其动力除源自快速增长的跨国公司投资外,本地公司的贡献也同等重要,不可忽视的一支重要力量是中小高技术企业.从八十年代后期,技术政策越来越成为中国经济政策的重要组成部分,其焦点之一是鼓励大学及研究机构的技术向科技企业转移,一系列具体措施作为技术战略计划主要内容相继出台,如星火计划、863计划、火炬计划、生产率促进计划和知识创新计划等.尽管如此,最近的许多研究表明,技术能力(TechologicalCapabilities)仍然是中国许多行业和部门所面临的主要问题.     

Nonstationary nonlinear heteroskedasticity

In this paper, we consider time series with the conditional heteroskedasticities that are given by nonlinear functions of integrated processes. Such time series are said to have nonlinear nonstationary heteroskedasticity (NNH), and the functions generating conditional heterogeneity are called heterogeneity generating functions (HGF's). Various statistical properties of time series with NNH are investigated for a wide class of HGF's. For NNH models with a variety of HGF's, volatility clustering and leptokurtosis, which are common features of ARCH type models, are manifest. In particular, it is shown that the sample autocorrelations of their squared processes vanish only very slowly, or do not even vanish at all, in the limit. Volatility clustering is therefore well expected. The NNH models with certain types of HGF's indeed have sample characteristics that are very similar to those of ARCH type models. Moreover, the sample kurtosis of the NNH model either diverges or has a stable limiting distribution with support truncated on the left by the kurtosis of the innovations. This would well explain the presence of leptokurtosis in many observed time series data. To illustrate the empirical relevancy of our model, we analyze the spreads between the forward and spot rates of USD/DM exchange rates. It is found that the conditional variances of the spreads can be well modelled as a nonlinear function of the levels of the spot rates.     

Sluggish Recovery from the Financial Crisis: Crowding-out Effect and Contagion

Abstract

The stimulus plans by the US Government after the financial crisis in 2008 may decrease private investment by means of a crowding-out effect. The US Federal Reserve utilized quantitative easing policies to maintain the interest rate as low as possible to minimize crowding-out. The 2008 financial crisis also affects other economies through contagion effects. This paper investigates the existence of the crowding-out effect and contagion effect after the crisis using Temin and Voth's models. The empirical results from vector autoregession show that there is a crowding-out effect in the US economy as well as a contagion effect of the crisis on the Korean and Japanese economies.     

Why Do Landlords Include Utilities in Rent? Evidence from the 2000 Housing Discrimination Study (HDS) and the 2002 American Housing Survey (AHS)

This study assesses the decision to include utilities in the rent and the effect of this decision on rents. We utilize individual house-level data from the 2000 Housing Discrimination Study (HDS) and 2002 American Housing Survey (AHS), and determine that the cost of meter installation is not the only reason that utility costs are included in rent. We find evidence that landlords include utilities in the rent to attract more customers. Additionally, our findings demonstrate that utility inclusion behavior differs significantly between old and new building owners. For the hedonic rent estimation, we find that the decision to include the cost of utilities in the rent raises rent.     

GARCH with omitted persistent covariate

This paper analyzes the effect of omitting a persistent covariate in the GARCH-X model. In particular, we show that if the relevant persistent covariate is omitted and the usual GARCH(1,1) model is fitted, the model will be estimated approximately as an IGARCH model. This may well explain the ubiquitous evidence of the IGARCH in empirical volatility analysis.