If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. A new risk assessment model for agricultural products cold chain logistics Hao ZhangBusiness School, Beijing Technology and Business University, Beijing, China, and Bin Qiu and Keming ZhangSchool of Economics and Management, Beijing Jiaotong University, Beijing, ChinaAbstract Purpose -The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately. Design/methodology/approach -A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study. Findings -The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk.Research limitations/implications -This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident. Practical implications -The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the n...

Logistics service quality (LSQ) is one of the key influential factors in the success of an ecommerce business. In view of the complexity of the topic, this paper proposes a novel model for fresh ecommerce cold chain LSQ evaluation based on the catastrophe progression method. In the proposed methodology, first an index system for evaluating the fresh ecommerce cold chain LSQ is established from the perspective of service recipients. Then, the comprehensive weight of each evaluation index is determined using a combination weighting approach based on maximizing deviations and fuzzy set theory. The priority weights and the ranking of the indices are determined using the catastrophe progression method. Finally, the model is applied in a case study of two representative enterprises. The study demonstrates the validity and practical applicability of the proposed model. Also, based on the evaluation results and findings, some improvement suggestions are made for improving the cold chain LSQ of similar kinds of fresh ecommerce companies.

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According to the basic principle of statistical energy method, the high frequency SEA model of the full vehicle is established. Through the comparison of simulation and test results, the error of power based noise reduction (PBNR) and interior sound pressure level response is less than three dB, which proves the accuracy of high frequency simulation model. Through the design of different schemes, the sensitivity analysis of parameters such as material parameters, internal loss factor and leakage rate to the model is obtained. The research results show that the accuracy of material parameters, internal loss factor and leakage rate can improve the accuracy of high-frequency simulation model. The sensitivity analysis can provide some ideas for vehicle high frequency noise model adjustment and modification.

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PurposeThe purpose of this paper is to examine the impact of common ownership on corporate innovation, including innovation input, innovation output and postgrant patents.Design/methodology/approachThis paper uses the ordinary least square model and the difference-in-differences technique to evaluate the effect of institutional interlocking shareholdings on the life cycle of corporate innovation.FindingsThe results show that common ownership impedes innovation measured by patent grants and citations through reduced R&D expenditures. However, common ownership protects postgrant patents by lowering the likelihood that a co-owned firm gets involved in patent litigation and by accelerating the settlement of lawsuits between co-owned firms.Practical implicationsFrom a regulatory perspective, common ownership in younger firms that rely heavily on R&D investment to produce innovation outputs is detrimental and needs to be regulated. However, common ownership in mature firms, which hold a big pool of patents or rely on acquiring patents to compete, is of less concern because of the protective role detected.Originality/valueThe paper provides a first comprehensive look into how same-industry common ownership affects innovation input, innovation output and postgrant patents. The research also reconciles the anticompetitive effect and the coordinative effect of common ownership documented in the literature.