How does a cluster relocate across the border? The case of information technology cluster in the Taiwan-Suzhou region

Since the end of the Cold War, cross-border regions have proliferated at the borders of formal socialist countries, especially in China. Existing accounts of these emergences treat them either at the macro-level, focusing on political initiatives, or at the micro-level, with emphasis on social and economic relations. This paper uses the Taiwan-Suzhou cross-border region as a case study for suggesting a meso-level approach, arguing that as a result of continuous interactions between individual Taiwanese information technology firms and opportunity structures generated by the selective opening of the Chinese border, the formation of cross-border high-tech regions is shaped and determined at the level of the industrial system. The industrial system acts as a platform for coordination and cooperation between local elites and foreign investors and among individual firms within this system. The formation of the cross-border high-tech region thus involves the relocation and institutional re-embedding of industrial systems across the border, which has been accompanied by the systemic building of Taiwanese firms on the one hand, and the institutional innovation of Chinese local states on the other.     

A sensemaking perspective on network pictures

This paper examines the concept of network pictures through the lens of the organizational sensemaking perspective. Essentially it develops the concept of network pictures by suggesting we think of them as exercises in sensemaking. It does so by providing an introduction to organizational sensemaking before establishing a degree of commensurability between network pictures and sensemaking. It suggests that what we may then see more clearly is that the concept of network pictures needlessly gets involved in reification when talking of ‘the’ network picture whereas a more dynamic approach leads to ideas of network picturing in which the complete discrediting or collapse of extant sensemaking and network pictures provides a research opportunity that could be jointly explored by both perspectives. The paper concludes that paradoxically ‘finding’ this new sense or new network picture appropriate to radically changed times is facilitated by a process that involves first ‘becoming lost’.     

Integrating expected coverage and local reliability for emergency medical services location problems

Daskin's MEXCLP model [Daskin M. A maximum expected covering location model: formulation, properties, and heuristic solution. Transportation Science 1983;17:48-70] was one of the first efforts to capture the stochastic nature of emergency medical services (EMS) location problems within a mixed-integer formulation. With their subsequent introduction of MALP, ReVelle and Hogan [The maximum availability location problem. Transportation Science 1989;23:192-200] offered two key advances, local vehicle busyness estimates and the α-reliability objective. While these constructs have influenced many subsequent EMS location models, they have been subjected to relatively little empirical analysis. To address this, we introduce the LR-MEXCLP, a hybrid model combining the local busyness estimates of MALP with the maximum coverage objective of MEXCLP. We then solve a series of problems with all three models and employ simulation to estimate aggregate service levels. We find that LR-MEXCLP leads to modest but consistent service gains over both MALP and MEXCLP. These results support the merits of local busyness estimates, but they also suggest that the α-reliability objective may be inappropriate when seeking to maximize aggregate system response capabilities. More generally, our research underscores the utility of (a) linking modeling assumptions and goals with real-world application contexts, and (b) employing simulation or other techniques to validate theoretical results.     

A grey decision and prediction model for investment in the core competitiveness of product development

Because enterprises do not disclose their internal specific cost information to the public and, moreover, every firm has its own product character and financial constitutions, it is difficult to offer fixed guidelines for investment decisions. Thus, an enterprise may be uncertain when required to choose the most promising set of possible investments.The goal of this research is to use a grey relation analysis and analytic hierarchy process (AHP) to probe the core product development and competitiveness of an enterprise from limited data and, furthermore, by constructing the grey model, GM(1,1), to validate the feasibility of this assessment of the core competitiveness and investment strategy. In this study, a precision mechanical manufacturer is taken as an example, and the forecast estimate from this method is compared to those of a linear regression and the actual values to demonstrate the feasibility of applying this methodology to investment decision making, hence, demonstrating the value of this research.     

International diffusion of embodied and disembodied technology: A network analysis approach

This study proposes a quantitative method for investigating the structure of international technology diffusion. By using network analysis, this study defines the structural configuration of each country within the international diffusion network by measuring its degree, closeness, and betweenness centralities. In addition, this study distinguishes between embodied technology diffusion, measured by multilateral trade, and disembodied technology diffusion, measured by patent citations, in individual countries. This study empirically tests a sample data set of international technology diffusion taken from 48 countries. The empirical results show that the structural configuration of countries exhibits similar patterns in both embodied and disembodied diffusion networks. Significant global stratification patterns exist in the capability of national international technology exportation and brokerage advantages. Moreover, this study distinguishes four blocks of countries that play different roles in international technology diffusion: the leading countries provide a source of technological knowledge; an intermediate group diffuses the knowledge acquired from the source; a third group is in the process of initiating the export of technological knowledge; and a final group of countries absorbs technological knowledge without reciprocal exportation. Finally, this study identifies two types of catch-up strategies that newly industrialized or developing countries can use to move up the international technology stratification.     

The state of research on technological uncertainties, social uncertainties and emerging markets: A multidisciplinary literature review

The objective of this research work is to study the progress of research on technological uncertainties, social uncertainties and emerging markets and outline and identify the key disciplines, journals, articles and authors. For this the author studied the existing literature from the various fields in which technological uncertainties, social uncertainties and emerging markets research work have been published using ISI Web of Knowledge database. The paper finds that there is increasing research work on technological uncertainties, social uncertainties and emerging markets and the bibliographical search resulted in ninety-one documents written by one-hundred-sixty-one authors in eighty-four journals in seventy-two disciplines. The five major disciplines and their underlying journals are business and economics, agriculture, psychology, public administration, and environmental sciences and ecology accounting for majority of publications. In journals the most prolific, measured by number of articles published are Harvard Business Review, Social Science and Medicine, World Development, and Higher Education; and most influential, measured by the global citation received, are Harvard Business Review, Social Science and Medicine and Sociological Review. The top 10% of the journals are responsible for 23% of all publications but 85% of all global citations received. This highlights that despite the high, diverse and increasing number of journals; only few are dominating and shaping the research arena of technological uncertainties, social uncertainties and emerging markets. Further, in the ten most cited articles, no author appears more than once.     

The contingent value of marketing strategy innovativeness for product development performance in Chinese new technology ventures

This study extends research on entrepreneurial behavior by investigating the relationship between the marketing strategy innovativeness (MSI) and new product performance in technology-based new ventures in China. Specifically, premised on contingent resource-based view we argue that MSI is a firm capability that must be bundled with external managerial relationships and be deployed in the appropriate environment to ensure its success. We found that the team's extra industry relationships and market dynamism enhanced the impact of MSI on new product performance. In contrast, top management team's intraindustry relationships, financial relationships, and technology dynamism hindered the impact of MSI on new product performance.     

Interpartner legitimacy in regional strategic networks

Our aim is to add to the knowledge on a network level, focusing on if, and how, interpartner legitimacy affects the success or failure of network formation and development processes. Existing network theories and research tend to focus on resource exchange rather than on how actors perceive each other in terms of being legitimate or not. The purpose of the article is to analyze the interpartner legitimacy's influence on the formation and development processes of regional strategic networks (RSNs) from a network level. Two Swedish cases are discussed in terms of pragmatic, moral and cognitive interpartner legitimacy. The cases and the following discussion illuminate that interpartner legitimacy is important to incorporate into the analytical model if we wish to understand the processes of negotiations on the rules and norms which set the possibilities for survival of multi-actor interactions.     

Output gap measurement and the New Keynesian Phillips curve for China

The New Keynesian Phillips curve implies that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation and lagged inflation. This paper exploits the empirical success of the New Keynesian Phillips curve in explaining China's inflation dynamics with a new measure of the output gap. We estimate the output gap using the Bayesian multivariate Beveridge–Nelson decomposition method, based on a multivariate dynamic model featuring distinct interactions among inflation, money, and real output in China. The empirical results using quarterly data spanning 1979–2010 show that the new measure of the output gap outperforms the traditional measures in fitting the New Keynesian Phillips curve. This result provides useful insights for inflation dynamics and monetary policy analysis in China.     

Backcasting energy futures using industrial ecology

Backcasting has been widely used for developing energy futures. This paper explores the potential for using industrial ecology to guide the development of energy futures within a backcasting framework. Building on the backcasting work of Robinson [1], a seven step method is presented to embed industrial ecology principles within the development and assessment of future scenarios and transition paths toward them. The approach is applied to the case of backcasting regional energy futures in the Latrobe Valley, near Melbourne, Australia. This region has substantial brown coal deposits which are currently mined and used in coal-fired power stations to generate electricity. Bounded by a sustainability vision for the region in a carbon-constrained world, regional industrial ecologies in 2050 were backcast around three themes: bio-industries and renewables (no coal usage); electricity from coal with carbon capture and storage (low to high coal usage); and coal to products such as hydrogen, ammonia, diesel, methanol, plastics and char (demonstrating medium to high overall coal use relative to current levels). Potential environmental, technological, socio-political and economic impacts of each scenario across various life cycle stages were characterised. Results offer a platform for regional policy development to underpin deliberation on a preferred future by the community, industry and other stakeholders. Industrial ecology principles were found to be useful in backcasting for creatively articulating alternative futures featuring industrial symbiosis. However, enabling the approach to guide implementation of sustainable transition pathways requires further development and would benefit from integration within the Strategic Sustainable Development framework of Robèrt et al. [2].