In the modern customer‐centred era, customer value is a strategic weapon in attracting and retaining customers. Delivering superior customer value has become a matter of ongoing concern in building and sustaining competitive advantage by driving customer‐relationship‐management (CRM) performance. However, related studies are rather divergent, the key dimensions of customer value remain unclear, and there is no agreement on the evaluation of CRM performance. This paper develops an integrative framework for customer value and CRM performance based on the identification of the key dimensions of customer value. Emphasising the customer equity‐based view, the paper explores the decomposed effects of customer value on CRM performance in terms of relationship quality and customer behaviours. In doing so, a structural equation model is developed using the partial least square method supported by an empirical investigation of customers in China.
Poor entrepreneurs in developing countries are trapped at subsistence level. This study attempts to understand how survival entrepreneurial clusters can evolve into innovative industrial networks. By conceptualizing survival entrepreneurship cluster evolution, this research focuses on alternative binary paths of either the advance or decline at each juncture of cluster evolutionary trajectory and identifies factors that determine evolution direction. The conceptual model is further developed as it applied to a cluster case in China. This study suggests which mechanisms and factors allow a cluster to adapt, to avoid stagnation, decline, or death, and to rejuvenate at each transformational juncture.
Purpose -R&D consortia as a new R&D cooperative form flourished in Japan, the USA, and Europe and can be regarded as a major tool for promoting industrial technological innovation and enhancing industry competitiveness. Inspired by R&D consortia in advanced countries, Taiwan and the Chinese mainland seek to develop the cooperative R&D mechanism in their own distinctive contexts. The purpose of this paper is to identify the patterns of their formation and development and to reveal the dynamics of R&D consortia (termed "public technological platforms" -PTPs) in the Chinese mainland) to give some implications for other developing countries that try to model the cooperative R&D policy for their own technology catch-up programmes. Design/methodology/approach -The paper provides an explanatory framework for analyzing how Taiwan and the Chinese mainland seek to develop R&D consortia based on comparative analysis and case study. Findings -R&D consortia in Taiwan and PTPs in the Chinese mainland have unique structural characteristics with their common catch-up goals and have been developing in different ways reflecting the relationships and interaction between academia, industry, and government. The effectiveness of R&D consortia is largely determined by the institutional arrangements including goal setting, organizational arrangements, and government involvement. Research limitations/implications -Further analysis of R&D consortia and PTPs would be required to form empirical studies based on the collection of more extensive data. Practical implications -The key to R&D consortia/PTPs' success is how to devise institutional arrangements to ensure effective cooperation between academia, industry, and government and to implement certain technology strategies effectively. Originality/value -This research contributes by identifying the differences in development of Taiwan R&D consortia and Chinese mainland PTPs and by revealing their evolutionary process.
Under the impact of covid-19, the global and domestic manufacturing supply chains, almost suffered from the serious interruption crisis of manpower flow, logistics, information flow and capital flow. The risk of supply chain disruption has become the primary risk of the supply chain. However, some risk inducement of supply chain interruption is complex and diverse, so it is very difficult to grasp and screen the risk data needed for research from the supply chain operation data. To improve the robustness of supply chain for boosting the domestic and international circulation of China's manufacturing, in this paper, according to the characteristics of China's manufacturing supply chain and its risk incentives, the data needed for risk prediction modeling has been sorted out through questionnaire survey, and a regression model of risk prediction for manufacturing supply chain by using empirical method would be put forward. Then, C4.5 decision tree method is used to train and evaluation the risk prediction model. The conclusion shows that the customer satisfaction has great diagnostic value for risk, and the model has a strong sensitivity to market information risk and market order risk. The conclusion is more consistent with general cognition, and the model fits well, indicating that the model proposed in this paper has a certain theoretical significance, and its practical application value is worthy of further testing.
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