2,135 research outputs found

    Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

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    The innovation capability of high-tech industry reflects international competitiveness of a country. In order to scientifically evaluate the innovation capability, this paper proffers the comprehensive evaluation of the particle swarm synthesis optimization based on deviation maximization, principal component analysis and TOPSIS method. The evaluation index system of the innovation capability of high-tech industry is constructed; the paper conducts the empirical research through the particle swarm synthesis algorithm combined with provincial yearbook data on 30 provinces in China, and obtains the technological innovation capability results and rankings of each province\u27s high-tech industry. The empirical results also show that the overall innovation capability of China\u27s high-tech industry shows the growth trend, indicating that the implementation of an innovation-driven development strategy and other related policies have achieved suitable results. At the same time, the level of development in the eastern part of China is always higher than that of the central region and the western region. The paper further analyses reasons of differences in the development level of different regions. The particle swarm synthesis optimization has strong applicability in a comprehensive evaluation. This paper provides an effective reference for evaluating the innovation ability of the high-tech industry

    Think Tank Review Issue 68 June 2019

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    Telecom customer segmentation and precise package design by using data mining

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    Changes in the form of communication have prompted the telecommunications industry to flourish. In the "big data era" of information explosion, as one of the leading industries in the information age, the development of the telecommunications industry depends not only on communication technology, but also on the ability of enterprises to optimize resource allocation. At present, the information resources owned by telecom companies mainly come from customers. During the development process, they have accumulated a large amount of customer data, which truly and objectively reflects the behavior of consumers. This paper is dedicated to combining data mining technology with the rich data resources of the telecom industry and the latest marketing theories, not only effectively helping subdivide the telecommunications customer market, but also supporting telecommunications companies in developing more accurate and efficient marketing strategies. In addition, data analysis method such as factor analysis, regression analysis and discriminant analysis are used to analyze the demographic, business, SMS messages and expense characteristics of telecom customers, providing a new vision and reference for the telecom industry to achieve accurate packaging design. Based on the above research results, a discriminant model for the loss of telecom customers is constructed, which will help telecommunications companies to obtain a control method for telecom customer management risk. At last, data mining technology is used to optimize the combination design of telecommunication services, which offer effective advice on precise telecom package design to telecommunications companies

    An interpretive approach to digital divide policy-making: a comparative study of China and Taiwan

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    An interpretive approach to digital divide Policy-making: A comparative study of China and TaiwanThis thesis investigates how problems for policy become defined as well as how policy responses are subsequently designed to address these problems. It was motivated by the substantive concern that existing literature on digital divide policy is derived from Western countries, and embedded within Western rationales. In contrast, the way in which digital divide policy is made in developing countries had received relatively little attention. In light of this gap in the literature, empirical research was carried out on the development of digital divide policy-making, highlighting policies from two developing countries as examples: Cun Cun Tong (providing every village with a telephone and internet connection) Policy in China and Digital Opportuniry Centre/APEC Digital Opportunity Centre in Taiwan.Theoretically, this research adopts an interdisciplinary rationale, combining an interpretative approach from the field of policy research and key concepts from Science and Technology Studies. It aims to overcome a shortcoming of much traditional research on the digital divide which, in its commitment to its substantive concerns has been un-reflexive in its approach. This thesis demonstrates how an interpretative approach can produce new insights into digital divide policy from a more critical perspective. It elucidates how understandings of the digital divide are articulated (initially in discussions in the USA and the European Union) and become promulgated through international organizations during the early 1990s to the year 2005, and how they are then ultimately 'domesticated', becoming embedded within particular national contexts and policy discourses.Methodologically, this research adopts a strategy of triangulation. It combines various modes and methods of enquiry: discourse analysis of policy documents is supplemented with interviewing policy-makers. Interviews are used to obtain first-hand materials which throw light on the orientation and context of the various actors who participate in policy-making and their concerns/discourses during policy-making. Finally, there is an analysis of policy outcomes. This research also contributes to opening the black box of policy-making, particularly in China, a context which presents particular challenges for the researcher.Empirically, the findings provide an in-depth understanding of digital divide policy-making in developing countries. Firstly, it is demonstrated that international and national contexts matter in digital divide policy-making. Policy similarities can be explained by both the international context and local context. International policy discourses provide commonly available intellectual resources, whereas similarities in local contexts, for example a shared technocratic tradition. These international and national contexts also impact on the participants who are involved in digital divide policy-making, for example, the technocratic tradition of China and Taiwan is a factor underpinning the choice of policy participants with science and technology backgrounds. These participants then learn and exchange experiences from international organisations and other countries through international conferences, official policy websites, and personal contacts. Secondly, the study found that the relationship between discourses and policy-making is by no means as straightforward and linear as some interpretations of discursive shaping might imply. Discourses may have influences on policy development; however some inclusion strategies arose within domestic departments in advance of alignment with international digital divide discourses, as a result of pre-existing concerns within the national policy settings. A third, and related finding is that there is a gap between policy formation and policy implementation, the exploration of which reveals the complexity of policy discourses. For example, some policy texts were found to emphasise social development, whereas the implementation predominantly centres on the equipment of infrastructures. Finally, the most crucial contribution of this thesis is its development of an interdisciplinary interpretive approach to scrutinise digital divide policy. This provides a basis for future research in this area, as well as a means to address the limitations of existing approaches

    Comparative study on port logistics service capability of China’s main ports

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    Risk Evaluation and Control of Supply Chain Finance

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    As an effective way of enterprises financing, supply chain finance has attracted much attention in recent years. However, since supply chain finance has some problems like long financing period, numerous stakeholders and complex effects, banks are at a higher risk carrying out this kind of service. The purpose of this paper is to explore the key factors in supply chain finance risk assessment and study the effective mode of risk elevation. Based on the existing literature and research, this paper uses Z-score to standardize the financial index of 344 medium-sized enterprises in automotive industry chain from October, 2016 to October, 2017 and build a model of supply chain risk assessment and control basing on analytic hierarchy process, principal components analysis and logistic regression analysis. Finally, we summarize how each index affects risk assessment and then analyze the reasons
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