Search results

The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry.

An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results.

The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry.

Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies.

Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.

China is currently developing and promoting an industrial cluster policy at the government level. By enacting the ‘Opinion on promoting industrial cluster development’, China is supporting the development of industrial clusters. Building an industrial cluster is done by using a single factor but requires many additional factors like regional characteristics, competitiveness factors are also diversified. To evaluate the competitiveness of the Chinese automobile industry cluster, a competitiveness element index should be developed and a competitiveness evaluation method is needed to evaluate the importance of each element. To accomplish this objective, this research applied the analytic hierarchy process (AHP) and focused on the importance of the competitiveness elements.

This research investigated the character is tics regarding cases of clusters and also analyzed the competitiveness of the Changchun automobile cluster located in northeastern China. The purpose of this research is to help Korean enterprises who enter China in the hopes that Korea will emerge as a top automobile production country.

The United Nations Industrial Development Organization (UNIDO) (2017, pp. 14–15) identified that “industrialization is the seedbed for entrepreneurship, business investment, technological progress, the upgrading of skills, and the creation of decent jobs.” This placed studying different industrial sectors and their respective clusters, which are key drivers for economy, innovation, and knowledge creation (Slaper, Harmon, & Rubin, 2018), at the forefront of research. This chapter tackles the automobile industrial cluster in Egypt that possesses promising potential yet faces some challenges. It aims to provide an overview of the cluster, alongside underpinning its strengths and obstacles facing it. Moreover, the chapter displays the importance of the labor dimension in increasing the labor competitiveness of the cluster and showcases this through two cases of German automobile manufacturers that pioneered in venturing into the market through employing technical and vocational education and training. In conclusion, recommendations are provided to help in steering the cluster toward success.

States that the level of consumer involvement in a product category is a major variable relevant to advertising strategy. Suggests product category is often segmented by the level of consumer involvement; however, consumers are rarely segmented. Points out that different involvement clusters have different responses to advertising effectiveness for the same product. Presents a case study segmenting a market using the consumer involvement degree, exploring the characteristics in order to determine the relationship between advertising effectiveness and the level of consumer involvement. Shows results suggesting that a high degree of consumer involvement directed a high advertising effect and is therefore an important indication for advertising strategy.

The learning outcomes of this paper will help students in understanding the dynamics of the formation of industry clusters and the benefits associated with industry clusters. The case will give stimulus towards the cluster competition.

The case describes the dilemma of a potential investor of a tyre company that wants to diversify its product line and is searching for a new strategic location. The investor is thoughtful about the Pithampur auto industry cluster for its upcoming investment. The case demonstrates how Pithampur has transformed into an “industry cluster” and the benefits it provides to firms in it. However, Pithampur is not the only auto industry cluster in India, clusters like Chakan-Pune is in competition with Pithampur for attracting investments. This is a cause of worry for the cluster’s stakeholders. The case projects amalgamation of concerns of the stakeholders of the clusters and those of potential investors in evaluating and benchmarking it with other clusters for a competitive future.

Suitable for both undergraduate and post-graduate students (MBA students).

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS: 11: Strategy.

Both Volvo and SAAB are now Chinese owned car companies. This means that a substantial amount of Swedish innovation takes place in China. In order to understand this phenomenon better and what it means to innovation strategy we look at how industrial clusters in the automobile industry in different phases of development differ. The Diamond Model is used to explain and measure the competitive situation in three cluster regions in China. The new automobile manufacturing clusters of Chongqing and Chengdu (2C) is compared with two well-developed clusters in Shanghai and Jiangsu, and Beijing and Hebei. Although Shanghai is the most attractive automobile cluster, automobile manufacturing firms choose to locate their production in other regions. The move is also related to the level of innovation in different regions.

The purpose of this paper is to provide a quantitative approach to measure industry clusters competitiveness.

An attempt has been made to construct a composite indicator backed up by a conceptually grounded framework, by means of Analytical Hierarchical Process technique. Four industry clusters from auto sector in India are chosen for manifestation of the methodology.

The proposed methodology sufficiently emphasises on the order of significance of the factors/indicators that make a cluster competitive. The study demonstrates the comparative competitiveness performance of four select industry clusters from India.

The methodology only focusses on auto clusters from India, application of the model/methodology needs to be extended to other set of industries that follows tier structure, or belong to other developing nations to corroborate the findings.

The proposed approach is a useful tool to provide guidance to policy-makers and in monitoring industry clusters progress.

The paper offers an empirical approach for measuring competitiveness of industry clusters. So far there has been only a minuscule research on cluster competitiveness using empirical methods specifically in case of developing countries like India. Because of the heterogeneity of actors in industry clusters and absence of cluster relevant databases, its performance has been mostly captured via means of case studies. This study is one of its kind that renders comparison of competitiveness across industry clusters by combining secondary data with the perception of cluster actors.

The purpose of this paper is to analyze the trends of global automobile industry toward energy saving and smart application. The automobile industry has its own special supply, safety and reliability system. It combined with the legislations that progressive safety driving leads to increase automobile electronic (AE) facilities and enlarges the proportion of the electronic control for vehicles. Based on matured communication and semiconductor industries in Taiwan, the government assists these hi-tech industries in entering the AE domain by clustering relevant enterprises with assembly supply chains. Flagship IC packaging and LCD panels enterprises are located in the Kaohsiung Industrial Park which possesses advantages for the clustering of AE industry.

In this paper, a systematic investigation on establishing AE industry cluster in Kaohsiung Industry Park (KIP) is presented. First, 42 electrical and electronics enterprises are site visited and interviewed for operation and management preferential demands. Second, problems encountered in enterprises’ operation are identified through expert weight method. Third, the main factors involved in the operational management are then analyzed based on five flagship enterprises in KIP. The integration of industrial–university–government resources and assistance is demonstrated. Finally, the establishment of an innovative talents cultivation model is illustrated.

The developed systematic talent program is proposed to resolve the urgent demands in recruiting talents, operational costs and new products development.

This paper satisfies needs of research enterprise management. The establishment of an innovative talents cultivation model is illustrated.

This paper aims to make a call for the establishment of a new research journal: a likely title for which would be Chinese Public Management. The background to this is clearly set out here for posterity’s sake. The review of selected papers unveils an emerging trend amongst Chinese researchers for undertaking deeper, cluster-based analyses. See, for example, the insights presented in this issue concerning competitiveness in China’s automobile industry.

A diary-like account has been made of the series of recent events that sparked the author’s interest in creating a journal to be known as Chinese Public Management. Why is there currently this focus on empirical research for public policy? From the author’s five years’ work for a serial visiting professorship across China, he has found that there are now well-established, substantial databases dedicated to the subject. Even more importantly – as this paper illustrates – a growing community of scholars has become keen to embark upon an in-depth, quantitative research. Perhaps, for the new journal, we would need an editor concentrating specifically on databases. Furthermore, undertaking scholarly work that is still of practical relevance for guiding authorities in their formulations of public policy will add a whole new dimension to the available research.

There is scope for a new endeavor that documents management research within the public sector in China. This may be seen as a sister journal for “Chinese Management Studies” that focuses on the other, much larger Chinese sector, that is, governmental organizations.

This paper documents the emergence of the necessity for a new journal about management in China.

Access to related information is a key requirement for exploratory search. The purpose of this research is to understand where related information may be found and how it may be explored by users.

Earlier research provides sufficient evidence that web graph neighborhoods of returned search results may contain documents related to users' intended search topic. However, in the literature, no interface mechanisms have been presented to enable exploration of these neighborhoods by users. Based on a modified web graph, this paper proposes tools and methods for displaying and exploring the graph neighborhood of any selected item in the search results list. Important issues that arise when implementing such an exploration model are discussed and utility of the proposed system is evaluated with user experiments.

In user experiments first, information related to intended search topic was often found in the web neighborhood of search results; second, exploring these graph neighborhoods with the proposed tools improved users' ability to reach the information they sought.

The test participants are computer science graduate students. Their skills may not be representative of the broad user population.

The lessons learned from this research point to a potentially fruitful direction for designing new search engine interfaces that support exploratory search.