Cooperative Goals in the Chinese Work Environment: A Hong Kong Case Study

This research seeks to develop an understanding of how cooperative teamwork among Chinese employees impacts upon the customer perception of service in the Hong Kong ship-repair industry. The research model was based on the ‘Theory of Cooperation and Competition’, a western-derived theory. The model used included the Chinese values of power distance, collectivism and conformity. The results suggested the need to explore alternative processes that Chinese people may engage in in managing their conflict. We question whether the ‘goals’ or ‘ends’ based approach to the operation of teams inherent in the Theory of Cooperation and Competition, is valid in the Chinese context where ‘process’ and ‘relationship’ are pivotal.     

Agency Costs,Mispricing, and Ownership Structure

Standard theories of ownership assume insiders ultimately bear all agency costs and therefore act to minimize conflicts of interest. However, overvalued equity can offset these costs and induce listings associated with higher agency costs. We explore this possibility by examining a sample of public listings of Japanese subsidiaries. Subsidiaries in which the parent sells a larger stake and subsidiaries with greater scope for expropriation by the parent firm are more overpriced at listing, and minority shareholders fare poorly after listing as mispricing corrects. Parent firms often repurchase subsidiaries at large discounts to valuations at the time of listing and experience positive abnormal returns when repurchases are announced.     

Trends and cycles of the internet evolution and worldwide impacts

In this paper we present a quantitative analysis of the evolution of some Internet and ICT evolution indicators. It focuses on the number of Internet hosts, the Internet penetration index, the ICT development index and the software/protocols development. In addition, we analyzed the series of most impacting events building up the Internet along the last fifty years. These analyses were carried out using the multi-logistic procedure recently proposed by the authors. Our results for hosts counting, penetration index and software/protocols development are compatible with the onset of some radical changes in the Internet technology to be currently underway and we forecast new growth rate peaks to occur by 2015. The software/protocols were found to having been powered by bursts of creativity with periods of the order of the Kuznets and Kondratiev economic cycles. Similar conclusions were drawn from the series of main events building up the Internet. Despite the clear signs of worldwide improvement in the ICT infrastructure and usage between 2002 and 2007 obtained from the ICT development index, its cross-correlation with the human development index (HDI) revealed the presence of a group of countries whose improvements in the operational ICT index are disconnected from their corresponding HDI improvements.     

The rise and decline of the Soviet economy

The reasons for the rapid growth of the Soviet Union before roughly 1970 and for its subsequent growth slowdown are analysed. The concentration of investment on heavy industry and soft budget constraints explain most of the growth in the 1930s. The growth slowdown was due to disastrous investment decisions following the elimination of surplus labour and the diversion of research and development resources to the military rather than the failure of firms to carry out plans or diminishing returns to capital.     

Numeraire choice in normalized quadratic functional forms

A semi-nested test procedure is developed for choosing the numeraire for a normalized quadratic profit function when too few observations exist for nested hypothesis testing and when too many alternatives exis for conventional non-nested testing. Sensitivity of empirical results to choice of numeraire price is examined using agricultural data for the US and ten multistate regions. Few test conclusions vary by numeraire but own price input demand elasticities differ greatly.     

R&D Collaborations and Product Innovation*

This paper studies the relative impact on product innovation of research and development (R&D) collaborations with universities, suppliers, customers, and competitors. It argues that each type of R&D collaboration differs in terms of the breadth of new knowledge provided to the firm and in the ease of access of this new knowledge, resulting in a different impact on product innovation. As a result, it proposes that R&D collaborations with universities are likely to have the highest impact on product innovation, followed by R&D collaborations with suppliers, customers, and, finally, competitors. These arguments are tested on the R&D collaborations undertaken by a sample of 781 manufacturing firms during 1998–2002. The tests find that R&D collaborations with suppliers have the highest positive impact on product innovation, followed by collaborations with universities. Surprisingly, R&D collaborations with customers do not appear to affect product innovation, and collaborations with competitors appear to harm it. Moreover, the positive influence of R&D collaborations with universities and suppliers is sustained over the long‐term, but the negative influence of R&D collaborations with competitors is, fortunately, short‐lived. These findings indicate that ease of knowledge access, rather than breadth of knowledge, appears to drive the success of R&D collaborations for product innovation. R&D collaborations with suppliers or universities, which are characterized by relatively easy knowledge access, have a positive influence on product innovation, whereas R&D collaborations with customers or competitors, which are characterized by reduced ease in knowledge access, are not related or are even negatively related to product innovation. Moreover, to achieve product innovation with the help of R&D collaborations, it appears that the collaboration must first have mechanisms in place to facilitate the transfer of knowledge; once these are in place, it is better if the partner has a relatively narrow knowledge base. Thus, while R&D collaborations with both suppliers and universities are positively related to product innovation, the narrow knowledge base provided by collaborations with suppliers appears to have a larger positive impact on product innovation than the wider knowledge base provided by collaborations with universities. These arguments and findings are important and novel. The paper is one of the first to theoretically explain and empirically show that various types of collaborations have a differential influence on product innovation. It goes beyond previous literature by providing a theoretical logic for ranking the likely impact of types of collaborations on product innovation. The study also suggests to managers to carefully select the partners for their firms' R&D collaborations. Collaborations with suppliers appear to be the most promising for product innovation, followed by collaborations with universities, whereas collaborations with competitors may be detrimental to product innovation.