Analysis of Information Sharing Mechanism in the Food Industry Green Supply Chain Management and Operation Process

In order to effectively address the issues of environmental pollution and food safety in food industry,the green supply chain management should be used in the food industry.However,information sharing is the basis of supply chain management.For this purpose,on the basis of describing the connotation of food industry green supply chain management,the paper introduces the contents and the effects of information sharing mode in detail.It focuses on the barriers of the implementation of information-sharing mechanisms in the food industry green supply chain management and operation process and analyzes the necessity of using information sharing mechanism among the members of the food industry green supply chain management mode by game theory,so as to strengthen the competitiveness of enterprises through supply chain management.

Six Measures to Help SMEs out——An Interview with the Vice Minister of Industry and Information Technology

With the global economic turmoil and the changes in Chinese economic pol- icies in 2008,small,and medium-sized enterprises(SMEs)have all felt the early-coming of a"cold season".They have been undergoing extreme dif- ficulties in doing businesses due to a series of factors including

Organizational Learning （OL） and Organizational Innovation （OI）： The Case of Information and Communication Technology （ICT） Industry in Malaysia

The progression through which a person acquires ,;kills, understanding, and opinions regarding a particular organization or company is called organizational learning （OL）. In this study, the connection between organizational innovation （OI） and OL within the inf3rmation and communication technology （ICT） industry in Malaysia is surveyed. These relationships are examined, because various previous inquiries have shown that an imperative precursor to firm performance is OL. Two hundred and seventy-eight surveys were completed by small and medium organizations across Malaysia. The connections existing between the causes of OL and the causes of OI were ascertained by using structural equation modeling （SEM）. Amongst the Malaysian small- and medium-sized enterprises （SMEs） that participated in fire study, OI and OL are considerably linked.

Ministry of Industry and Information Technology: The output value of new material industry is expected to reach 10 trillion yuan by 2025

According to Economic Information Daily,the Ministry of Industry and Information Technology(MIT)will continue to formulate and introduce a series of industrial promotion policies and measures to further promote the development of China’s new material industry from this year.Compiling and implementing the new material industry folding project in 2018,setting

How signaling and search costs affect information asymmetry in P2P lending:the economics of big data

In the past decade,online Peer-to-Peer(P2P)lending platforms have transformed the lending industry,which has been historically dominated by commercial banks.Information technology breakthroughs such as big data-based financial technologies(Fintech)have been identified as important disruptive driving forces for this paradigm shift.In this paper,we take an information economics perspective to investigate how big data affects the transformation of the lending industry.By identifying how signaling and search costs are reduced by big data analytics for credit risk management of P2P lending,we discuss how information asymmetry is reduced in the big data era.Rooted in the lending business,we propose a theory on the economics of big data and outline a number of research opportunities and challenging issues.

The Analysis and Prospect of Development of Fresh Cut Flower Industry Based on the Patent Analysis

Cut flower industry is an important branch of floral industry, characterized by less occupation of lands, high output values per unit area and export capacity.Therefore, it enjoys promising economic profits and development potential. The research conducted relevant analysis on patents of cut flowers at home and abroad,including development trend, regional distribution, applicants, and technology classification. Besides, the research discussed status quo, characteristics, and development trend of cut flower industry, providing references for policy formulation for governments.

The Rural Information-based Construction under the Perspective of Expanding Agricultural Industrial Chain

On the basis of expounding connotation and significance of expansion of agricultural industrial chain, coupled with the connotation of rural informatization connotation, this article analyses the role of rural informatization in expanding agricultural industrial chain: it can enhance market competitiveness of industry chain, improve the operational efficiency of industry chain, and promote the income and quality of farmers in industry chain. Under the perspective of expanding agricultural industrial chain, this article puts forwards thinking about the construction of rural informatization as follows: first, give full play to the leading role of the government; second, strengthen the construction of information-based network facility; third, integrate information resources in rural areas, and improve the quality of information; fourth, build comprehensive information service platform in rural areas; fifth, improve organizational level of production and management of individual farmers; sixth, strengthen the construction of information-based personnel in rural areas; seventh, strengthen publicity and training, promote overall cultural quality and information awareness of farmers.

What China and India can Iearn from each other in the information industry

China’s information industry,including its hardware manufacturing and infrastructure,is larger in size than India's,but India is stronger in software R&D and IT competence. This paper presents an overview of the information industry in both countries,and reveals the challenges posed by lack of innovation,over-reliance on foreign markets and uneven software and hardware development. Comparative studies in this field provide reference for both countries to improve their industrial structure and pursues solid growth.

Study on the Development of the Chip Information Industry Based on Moore’s Law

Chips are the carriers of ICs (integrated circuits). As a result of design, manufacturing, and packaging and testing processes, chips are typically wholly independent entities intended for immediate use. According to known data, one unit of chip output can drive up to ten units of output in the electronic information industry and 100 units of GDP (Gross Domestic Product). The Chip Information Industry is a strategic industry in most developed countries in Europe and North America. The development of the Chip Information Industry is related to national economies and personal livelihoods. Moore discovered a certain trend after analyzing data: in general, every newly produced chip has twice the capacity of the previous generation, and it takes 18 to 24 months for the next generation to be subsequently invented. This trend has come to be known as Moore’s Law. It applies not only to the development of memory chips but also to the evolutionary paths of processor capability and disk drive storage capacity. Moore’s Law has become the basis of performance prediction in several industries. However, since 2011, the size of silicon transistors has been approaching its physical limit at the atomic level. Due to the nature of silicon, additional breakthroughs in the running speed and performance of silicon transistors are severely limited. Elevated temperature and leakage are the two main sources that invalidate Moore’s Law. To counter these issues, This paper analyzes specific problems challenges in the Chip Information Industry, including the development of carbon nanotube chips and fierce competition in the international Chip Information Industry. In addition, this paper undertakes a critical analysis of the Chinese Chip Information Industry and countermeasures to Chinese Chip Information Industry development.

The Necessity of Information Security in the Vulnerable Pharmaceutical Industry

The pharmaceutical industry produces billions of dollars in sales each year. The industry is evolving and relying on using technology more and more to conduct day-to-day business. The pharmaceutical industry generates enormous amounts of sensitive and private information such as medical records, employee information, financial data and research data. This makes the pharmaceutical industry vulnerable to cybercrime. The pharmaceutical industry has a big responsibility to stakeholders, patients, employees and customers all over the world to ensure this information is secure. It is imperative for organizations to budget adequate amounts of money and resources to have effective Information Security Management. Information Security Management is critical in the pharmaceutical industry and the alternative of not having it would be devastating to a pharmaceutical company. Cyber criminals can tarnish company reputations and the effects can take years to overcome. The main contributions of this paper will be to describe the concerns about the security of information in the pharmaceutical industry, provide examples of organizations that are victims of cybercrime, describe regulations in place to help reduce information security breaches and illustrate why information security is necessary in the pharmaceutical industry.

Evolution Characteristics of Government-Industry-University Cooperative Innovation Network of Electronic Information Industry in Liaoning Province, China

It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university(GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that: 1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position,while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.

Fuzzy logic applied to value of information assessment in oil and gas projects

The concept of value of information(VOI)has been widely used in the oil industry when making decisions on the acquisition of new data sets for the development and operation of oil fields.The classical approach to VOI assumes that the outcome of the data acquisition process produces crisp values,which are uniquely mapped onto one of the deterministic reservoir models representing the subsurface variability.However,subsurface reservoir data are not always crisp;it can also be fuzzy and may correspond to various reservoir models to different degrees.The classical approach to VOI may not,therefore,lead to the best decision with regard to the need to acquire new data.Fuzzy logic,introduced in the 1960 s as an alternative to the classical logic,is able to manage the uncertainty associated with the fuzziness of the data.In this paper,both classical and fuzzy theoretical formulations for VOI are developed and contrasted using inherently vague data.A case study,which is consistent with the future development of an oil reservoir,is used to compare the application of both approaches to the estimation of VOI.The results of the VOI process show that when the fuzzy nature of the data is included in the assessment,the value of the data decreases.In this case study,the results of the assessment using crisp data and fuzzy data change the decision from"acquire"the additional data(in the former)to"do not acquire"the additional data(in the latter).In general,different decisions are reached,depending on whether the fuzzy nature of the data is considered during the evaluation.The implications of these results are significant in a domain such as the oil and gas industry(where investments are huge).This work strongly suggests the need to define the data as crisp or fuzzy for use in VOI,prior to implementing the assessment to select and define the right approach.

Age-Driven Joint Sampling and Non-Slot Based Scheduling for Industrial Internet of Things

Effective control of time-sensitive industrial applications depends on the real-time transmission of data from underlying sensors.Quantifying the data freshness through age of information(AoI),in this paper,we jointly design sampling and non-slot based scheduling policies to minimize the maximum time-average age of information(MAoI)among sensors with the constraints of average energy cost and finite queue stability.To overcome the intractability involving high couplings of such a complex stochastic process,we first focus on the single-sensor time-average AoI optimization problem and convert the constrained Markov decision process(CMDP)into an unconstrained Markov decision process(MDP)by the Lagrangian method.With the infinite-time average energy and AoI expression expended as the Bellman equation,the singlesensor time-average AoI optimization problem can be approached through the steady-state distribution probability.Further,we propose a low-complexity sub-optimal sampling and semi-distributed scheduling scheme for the multi-sensor scenario.The simulation results show that the proposed scheme reduces the MAoI significantly while achieving a balance between the sampling rate and service rate for multiple sensors.

Theory and Application of Multi-robot Service-oriented Architecture

In order to solve the problem of heterogeneity in multi-robot cooperation, a new service-oriented architecture is proposed for multi-robot cooperation. Service provision and energy consumption are the basic cooperative behaviors. A set of basic concepts of robot service are proposed. A layered multi-robot service-oriented architecture is designed. Finally, the experiments illustrate the superiority of the proposed architecture which makes robot's underlying functional components be transparently encapsulated and the services in upper layer be transparently invoked, which will effectively avoid the impact of heterogeneous characteristics in multi-robot cooperation and facilitate the system construction, expansion, restructuring and maintenance. © 2014 Chinese Association of Automation.

Research on Internal Control Information Disclosure of Real Estate Industry-Taking Taihe Group as an Example

After the outbreak of the Enron incident in the United States, China’s attention to internal control information disclosure has gradually increased. As a pillar industry of the national economy, real estate industry internal control system is sound, which has an important impact on social stability and healthy economic development. Therefore, this paper selects a company in the real estate industry, through the analysis of its internal control information disclosure, finds out its existing problems, and puts forward practical and feasible suggestions.

How Does Technological Progress Affect Employment and Wage Differences in China＇s Information Industry

Combining the development status of information industry in China and based on theoretical discussions on labor demand and supply as well as the comprehensive analysis on endogenous technological progress and exogenous educational quality, this paper concludes that the technological progress of information industry in China is skill- biased, i.e. technological progress of information industry increases the demand for skilled labor while decreases the demand for unskilled labor, and aggravates the wage difference between these two types of labor. Due to the effect of educational quality, the ratio of skilled labor employment to unskilled labor employment will reach a dynamic equilibrium and the wage difference between skilled labor and unskilled labor will not increase continuously. This paper then proves the foregoing conclusion with data of information industry in 26 provinces （autonomous region, municipality）. Focusing on typical skill-intensive information industry, this paper mainly studies the influence of educational quality, which not only complements the theoretical analysis on dual effects of technological progress on employment, but also provides feasible and practical basis to policies promoting the development of technological progress and full employment in China.

Research on Industrial Relevance Degree and Industrial Financial Situation Risk Matrix Construction——Based on Chinese Information Technology Industry

Based on Input-Output Table in 2010 issued by National Bureau of Statistics of China, with the help of input-output model and with the calculation of indexes of industrial relevance degree in Chinese information technology industry, the paper reveals the industrial relevance in Chinese information technology industry. The paper also selects the relevant industries which are highly associated with the development of Chinese information technology industry based on industrial relevance degree to analyze the influences of these industries on the financial situation risk fluctuation in information technology industry and to design the matrix of financial situation risk in information technology industry. Then, the paper offers countermeasures and suggestions for the development of our information technology industry.

A Study of the Strategy and Operation of Japanese Agriculture Cloud Computing

Amid declining Japanese agriculture solutions, agriculture cloud attracts much attention and expectations. However, the strategy and the operation of the agriculture cloud have not been investigated adequately. Therefore, the purpose of this study is to examine the strategy and the operation in the agriculture cloud. In this study, we performed a case study regarding agriculture cloud. Based on our consideration, the strategy and the operation of the agriculture cloud are a reinforcement of conventional competitive advantages.

Empirical Research on Brand Spillover Effect of Agricultural Product under the Background of Product Injury Crisis

By referring to attribution theory,influence factor and internal mechanism of crisis brand generating two kinds of spillover effects are explored. In this paper,the influence mechanism on spillover effect is explored from the angles of network and industry information. Results show that high online review dispersion is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low online review dispersion is easy to cause that consumer attributes the responsibility to the inside of the enterprise; high industry base rate information is easy to cause that consumer attributes the responsibility to the outside of the enterprise,while low industry base rate information is easy to cause that consumer attributes the responsibility to the inside of the enterprise. When consumer attributes the responsibility to the outside of the enterprise,infectious network spillover is easy to occur. When consumer attributes the responsibility to the inside of the enterprise,contrast network spillover is easy to occur. Consumer's existing brand knowledge regulates the influence of online review dispersion on responsibility attribution and the influence of industry base rate information on responsibility attribution. Research result could provide effective theoretic reference and management suggestion for crisis enterprise and even whole industry responding to product injury crisis.