The sustainable competitiveness is seen as the key to sustainable development for any corporation. This article has analyzed the evaluation method of the competitiveness for corporations nowadays, ...and pointed the existing problems. In view of the relevant theories of sustainable competitiveness for corporations, this article proposes a new idea - two dimension evaluation, namely considering the two dimensions including both the comprehensive competitiveness level and fluctuating degree of the competitiveness for the enterprise, and based on which the sustainable competitiveness is divided into four stages for evaluation; taking advantage of the projection pursuit classification technology, establishes the evaluation model of the sustainable competitiveness for construction corporations; and realizes the dynamic evaluation on sustainable competitiveness for construction corporations. The authors also go to the positivist analysis on the sustainable competitiveness for 21 construction corporations in China, thus providing a new way to evaluate the competitiveness for construction corporations.
Approaches that serve as a source of technology that produces sustainable competitiveness can be classified into two types: the acquisition of patents based on innovative technology (innovative ...technologies), and accumulation of knowledge over many years in specific technical fields (accumulated-knowledge technologies). This paper compares the influence these two sources of technological advantage have on corporate competitiveness. As a conclusion, accumulated-knowledge technologies are demonstrated to be more important for sustainable competitiveness than innovative technologies. This tendency is especially notable when technological change is rapid.
Purpose: This paper examines the claim that the application of human factors (HF) knowledge can improve both human well-being and operations system performance. Methodology: A systematic review was ...conducted using a general and two specialist databases to identify empirical studies addressing both human effects and operations system effects in examining manufacturing operations system design aspects.Findings: We found 45 empirical studies addressing both the human effects and system effects of operations system (re)design. Of those studies providing clear directional effects, 95% showed a convergence between human effects and system effects (+,+ or -,-), 5% showed a divergence of human and system effects (+,- or -,+). System effects included quality, productivity, implementation performance of new technologies, and also more ‘intangible’ effects in terms of improved communication and co-operation. Human effects included employee health, attitudes, physical workload, and ‘quality of working life’. Research limitations/implications: Future research should attend to both human and system outcomes in trying to determine optimal configurations for operations systems as this appears to be a complex relationship with potential long-term impact on operational performance.Practical implications: The application of HF in operations system design can support improvement in both employee well-being and system performance in a number of manufacturing domains. Originality/value: This paper outlines and documents a research and practice gap between the fields of HF and OM research that has not been previously discussed in the management literature. This gap may be inhibiting the design of operations systems with superior long term performance.
In order to promote the forestry resources urban economy development, the article studies its sustainable competitiveness taking YiChun city as the example. Based on the analysis on the limitation of ...sustainable development theory and urban competitiveness theory, the article proposes the concept of urban sustainable competitiveness, and thinks that the economic development of the forestry resources city must give dual attention to protecting forest ecosystem and cultivating the urban competitiveness depending on the forest resources superiority. The article carries on the recognition to key influencing factors of Yichun urban competitiveness with the artificial neural networks expert model and expands the resources investment in the key influencing factors according to the urban sustainable competitiveness viewpoint, and establishes YiChun urban sustainable competitiveness effectively.
This issue proposes that cluster knowledge transfer, sharing and innovation, absorption of external knowledge and nurturing the exclusive nature and different quality of knowledge innovation which ...distinguishes it from other clusters is an important mean for the textile industry cluster to develop based on the characteristics and sources of competitiveness of native-type clusters. It take the textile industry cluster, Shaanxi Province for example, points out that the knowledge systems from a closed to an open knowledge systems need to change ways: firstly, to cultivate external knowledge-based absorptive capacity embedded; secondly, to enhance knowledge-sharing and innovation capacity within the cluster.
Abstract
This study develops a conceptual model of the institutions and key factors that facilitate competitiveness on the national and subsector level and then determines how linkages between the ...factors that enhance competitiveness and regional development can be created. Turkey and the Turkish tomato subsector provided the case to test this model.
Abstract
This study develops a conceptual model of the institutions and key factors that facilitate competitiveness on the national and subsector level and then determines how linkages between the ...factors that enhance competitiveness and regional development can be created. Turkey and the Turkish tomato subsector provided the case to test this model.
Abstract This study develops a conceptual model of the institutions and key factors that facilitate competitiveness on the national and subsector level and then determines how linkages between the ...factors that enhance competitiveness and regional development can be created. Turkey and the Turkish tomato subsector provided the case to test this model.
