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Computational intelligence for measuring macro-knowledge competitiveness
The aim of this research is to investigate the utilisation of Computational Intelligence methods for constructing Synthetic Composite Indicators (SCI). In particular for delivering a Unified Macro-Knowledge Competitiveness Indicator (UKCI) to enable consistent and transparent assessments and forecasting of the progress and competitiveness of Knowledge Based Economy (KBE). SCI are assessment tools usually constructed to evaluate and contrast entities performance by aggregating intangible measures in many areas such as economy, education, technology and innovation. SCI key value is inhibited in its capacity to aggregate complex and multi-dimensional variables into a single meaningful value. As a result, SCIs have been considered as one of the most important tools for macro-level and strategic decision making. Considering the shortcomings of the existing SCI, this study is proposing an alternative approach to develop Intelligent Synthetic Composite Indicators (iSCI). The suggested approach utilizes Fuzzy Proximity Knowledge Mining technique to build the qualitative taxonomy initially, and Fuzzy c-mean is employed to form the new composite indicators
A BRIEF ASSESSMENT OF ROMANIAâS COMPETITIVE LEVEL
The central issue of this papaer is linked to competitiveness, in the context of integration in European Union. Big economic-social changes linket to: GLOBALISATION, FREE-TRADE, BUSINESSâ INTERNATIONALIZATION, TECHNOLOGICAL REVOLUTION makes today cometitiveness problems to become the problem number one, of surviving, for all leaders and economic and political decission factors.competitiveness, fuzzy clustering, economic performance
Examining the Supply Chain Management Models for Agricultural Products Under the Context of E-Commerce
Agricultural products market changes constantly along with the thriving of e-commerce and agricultural products e-commerce keeps growing as an innovative industry; however, there are still many loopholes in the management of the supply chain from beginning to end. In order to effectively address these issues, this paper utilizes the dynamic requirement forecasting method based on SVM (support vector machine) to identify and fit the secular trend in and potential cyclical fluctuation factors for the market requirements for agricultural products. The supply chain coordination decision center is established by integrating the collaborative supply management component and other components. XML technology and CORBA technology are adopted to construct the integrated management model of agricultural products supply chain in e-commerce environment. For its relatively high management level, the model established can promote both agricultural consumption and agricultural economic output, strengthen the competitiveness of enterprises in agricultural products market and realize maximization of profit targets
The research on customer structure characteristics and marketing measures of regional bank agency: a case from the Agricultural Bank of China
With intensified opening degree and increasingly fierce market competition of
commercial banks, commercial banks innovate their products constantly and improve their
service quality at the same time. The Agricultural Bank of China (ABC) is a state-owned
commercial bank that has built branches in all county-level districts. Instead, branches of
ABC in county-level have become the weakest links that reduce ABCâs competitive power. If
the flaws in customer and market maintenance in the county-level branches are ever to be
repaired, in my opinion, meeting customer perceived service quality and customer demands
efficiently based on understanding of customer needs should be put in the first priority
currently.
Firstly, this part studies the customer segmentation of ** branch of Agricultural Bank of
China. This thesis puts forward approach to segment bank customers based on the improved
k-means clustering. The results show that the improvement algorithm effectively overcomes
the defect that traditional k-means algorithm easily falls into local optimal value, increasing
the accuracy of customer classification, and contributing to more reasonable clustering
results.
Secondly, this thesis uses the econometric panel data model to study the relationship
between customer structure and bank performance. The results indicate that a good customer
structure can bring benefits for banks and improve their competitiveness.
Thirdly, this part analyzes different service quality requirements of different types
customer in the ** branch of Agricultural Bank of China. We combine service quality
evaluation theory and the background of Chinese commercial banks, establishing the
SERVQUAL model for the ** branch. The Study has shown that the correlation coefficient
between overall perception of service quality and customer satisfaction is positive; the overall
perception of service quality and customer willingness to recommend are also positively
correlated, but the degree of correlation is lower than the correlation between the overall
perception of service quality and customer satisfaction; the correlation of overall perceived
quality of service for all samples and willingness to accept the services of other banks
correlation was not significant. At the same time, there is still a gap between the customer
perceived service quality and customer expectation in the ** branch of Agricultural Bank of
China.
Finally, according to the results of customer structure classification and service quality
survey of the ** branch of Agricultural Bank of China, the marketing strategies for different
customer groups are proposed.Com o crescente grau de comercialização da indĂșstria bancĂĄria chinesa e a entrada
continua de bancos estrangeiros, a competição entre bancos estå a tornar-se cada vez mais
feroz, e as estratégias dos bancos comerciais com vista a ganhar vantagens competitivas muda
gradualmente.
Para além do lançamento de uma variedade de produtos financeiros, os bancos
comerciais utilizam serviços diferenciados para poder dar resposta å procura do mercado
diversificado de consumidores. Estes bancos estão igualmente a começar a entender que para
os bancos gradualmente convergirem devem não só atingir uma vantagem competitiva através
da oferta de produtos financeiros bem como serviços diferenciados de alta qualidade. Este
meio tornou-se na Ășnica forma forma que o banco dispĂ”e para poder vencer a sua competição.
Portanto, para os bancos comerciais, estamos num perĂodo de inovação onde o aumento da
qualidade de serviço é inevitåvel.
O Agricultural Bank of China Ă© um banco comercial do estado que possui uma filial
em todas as regiĂ”es administrativas a nĂvel de condado. LigaçÔes e serviços, citadinos e
urbanos tem sido a maior vantagem do Agricultural Bank of China, mas a situação actual
nĂŁo Ă© favorĂĄvel. A filial a nĂvel de condado tem-se tornado na ligação pior e mais fraca da
fundação deste banco.
Ao mesmo tempo, bancos privados tĂȘm emergido em paridade com o rĂĄpido
desenvolvimento dos instrumentos financeiros online e, o Agricultural Bank of China,
como o representante dos bancos tradicionais estå a enfrentar competição feroz. Em especial
desvantagem no que toca a recursos ao consumidor e instrumentos online que os outros
bancos oferecem.
Os bancos comerciais tradicionais, estĂŁo desta forma confrontados com a perda de
clientes bem como o elevado custo de adquirir novos clientes. O risco operacional do banco
aumenta ĂĄ medida que a estabilidade do mercado consumidor piora.
Se querem mudar o status quo das filiais a nĂvel de condado, necessitam entender a actual
necessidade da qualidade de serviço ao cliente, analisar as caracterĂsticas da procura do
consumidor e estabelecer um mecanismo de ciclo virtuoso de mercado-consumidor-beneficio
- sĂŁo as maiores prioridades agora.
Baseado nisto, este estudo usarĂĄ marketing, processo de decisĂŁo da gerĂȘncia, teoria e
mĂ©todos, mineração de dados, tĂ©cnicas estatĂsticas e mĂ©todos economĂ©tricos para analisar as
caracterĂsticas de procura do consumidor do Agricultural Bank of China.
Primeiro, utilizar a anålise de cluster de mineração de dados para efectuar uma
estratificação analĂtica do grupo de consumidores do banco para manter a estrutura da procura
dos consumidores e serviços; classificação da informação de procura dos consumidores,
acesso ĂĄs tendĂȘncias de procura dos consumidores do banco e tendĂȘncia de produtos
competitivos; na base de quantificar os requerimentos do consumidor, usamos o painel de
dados economĂ©tricos para efectuar uma anĂĄlise empĂrica sobre a estrutura de procura dos
consumidores e a performance do Agricultural Bank of China
Territory and entrepreneurial performance An exercise on some industrial Portuguese regions
The present paper was motivated by the recent interest put on the regional context as having a major role tracing economic agents behaviours and inducing productive activity. Three main goals have been defined: to emphasise the relation between favourable regional factors for development and firm performance in the case of the most industrialised Portuguese regions; to distinguish in each region its own propensity for sustainable development and to evaluate if the region may be considered as intrinsic co-operative or resistant to co-operation. Methodologically, the analysis followed three major steps: 1) selection of regions with industrial characteristics; 2) creation and use of the endogenous growth capacity indicators; 3) consequent analysis of the SMEs (small and medium size firms) behaviourâs evolution. Based on Multivariate Analysis, the following regions were selected: Ave, Entre Douro e Vouga, Baixo Vouga, Pinhal Litoral and PenĂnsula de SetĂșbal. Basically, they represent the areas where industrial activity is predominant in Portugal. When comparing the observed local environmental conditions of these regions with the results for the performance of their small firms, some conclusions could be achieved, regarding to three major issues: the relation between regional development factors development and firm performance; the regional propensity for sustainable development and the regional adequacy to networking. Key words: territorial systems of production; local endogenous capacities; SMEs performance.
Dry Port Terminal Location Selection by Applying the Hybrid Grey MCDM Model
Globalization and decentralization of production generate the intensive growth of goods and transport flows, mostly performed by the maritime transport. Ports, as the main nodes in the global logistics networks, are becoming congested, space for their expansion limited, and traffic in their hinterland congested. As a solution to these and many other hinterland-transport-related problems stands out the development of dry port (DP) terminals. Selection of their location is one of the most important strategic decisions on which depends their competitiveness in the market and the functionality of the logistics network. Accordingly, the evaluation and selection of locations for the development of the DP in accordance with the requirements of various stakeholders is performed in this paper, as a prerequisite for the establishment of an ecological, economic, and socially sustainable logistics network in the observed area. To solve this problem, a new hybrid model of multi-criteria decision-making (MCDM) that combines Delphi, AHP (Analytical Hierarchy Process), and CODAS (Combinative Distance-based Assessment) methods in a grey environment is developed. The main contributions of this paper are the defined model, the problem-solving approach based on finding a compromise solution, simultaneous consideration of the environmental, economic, and social sustainability of the DP concept and its implementation in the regional international markets. The applicability of the approach and the defined MCDM model is demonstrated by solving a real-life case study of ranking the potential DP locations in the Western Balkans region. Based on the obtained results, it is concluded that in the current market conditions, it would be most realistic to open three DP terminals, in Zagreb, Ljubljana, and Belgrad
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