Hybrid Kano-fuzzy-DEMATEL model based risk factor evaluation and ranking of cross-border e-commerce SMEs with customer requirement

2019 ◽  
Vol 37 (6) ◽  
pp. 8299-8315 ◽  
Author(s):  
Shan Du ◽  
Hua Li ◽  
Bingzhen Sun
Keyword(s):  
Risk Factor ◽  
Customer Requirement ◽  
Fuzzy Dematel ◽  
Cross Border ◽  
Model Based ◽  
Factor Evaluation

A dynamic model of effective factors on Agile business–IT alignment

Kybernetes ◽  
2019 ◽  
Vol 49 (10) ◽  
pp. 2521-2546
Author(s):  
Elaheh Bigdeli ◽  
Mohammadreza Motadel ◽  
Abbas Toloie Eshlaghy ◽  
Reza Radfar
Keyword(s):  
Dynamic Model ◽  
Dynamic Capabilities ◽  
Dynamics Modeling ◽  
Fuzzy Dematel ◽  
Content Type ◽  
Effective Factors ◽  
It Alignment ◽  
Model Based ◽  
It Capabilities ◽  
Business It Alignment

Purpose This paper aims to present a dynamic model based on casual relationships among the most important effective factors on business–IT alignment in Agile businesses by using system dynamics modeling approach. Design/methodology/approach To study the most important factors on agility and alignment, the data were collected by questionnaires filled by 201 experts and were analyzed by SPSS and PLS. Casual relationships among studied factors and efficiency coefficients of each factor were identified by fuzzy DEMATEL technique and analyzed by MATLAB and EXCELL. Finally, the dynamic model was plotted by VENSIM. Findings According to the results, only “learning IT capabilities” are the most important casual factor that has the highest influence on the other factors. “Business responding capabilities” take the highest effect from the system, and “business sensing capabilities” are in the next rank. Practical implications This study underpins effective IT deployment toward developing efficient IT capabilities to gain greater agility. Originality/value The dynamic capabilities view (DCV) has emerged as an influential theoretical and management framework in modern IS and agility researches. In this regard, we propose a conceptualization of dynamic capabilities in the form of an alignment model. Based on the dynamic capabilities, and on the alignment perspectives found in Henderson and Venkatraman’s seminal model, IT alignment is modeled as a process of reconfiguration of the firm’s IT and organizational resources, competencies and capabilities.

The Research of Fire Risk Factor Evaluation

2013 ◽  
Vol 336-338 ◽  
pp. 2307-2310
Author(s):  
Yun Xiang Liu ◽  
Xin Xin Yuan ◽  
Chen Chao Dou ◽  
Fei Xu
Keyword(s):  
Risk Factor ◽  
Data Analysis ◽  
Material Properties ◽  
Fire Risk ◽  
Fire Danger ◽  
Fire Occurrence ◽  
Output Data ◽  
Building Model ◽  
Factor Evaluation ◽  
Analysis Platform

The Research of fire occurrence and the law of development, and the prediction of the risk are the key to prevent and extinguish the fire effectively. This paper uses FDS to build the building model and track the production and movement of fire and smoke, combined with the material properties of furniture, walls, floors and ceiling to calculate the growth and spread of fire. Finally, write the data analysis platform FireSim to read and analyze the output data of FDS, and give the fire danger rating, so as to help people prevent fire and reduce disaster.

scholarly journals Measurement of Procarboxypeptidase U (TAFI) in Human Plasma: A Laboratory Challenge

2006 ◽  
Vol 52 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Johan L Willemse ◽  
Dirk F Hendriks
Keyword(s):  
Risk Factor ◽  
Plasma Concentration ◽  
Human Plasma ◽  
Active Form ◽  
Clinical Samples ◽  
Clinical Settings ◽  
Factor Evaluation ◽  
Antigen Determination ◽  
Made In

Abstract Background: The importance of carboxypeptidase U (CPU) as a novel regulator of the fibrinolytic rate has attracted much interest during recent years. CPU circulates in plasma as a zymogen, proCPU, that can be activated by thrombin, thrombin-thrombomodulin (T-Tm), or plasmin. Given that the proCPU concentration in plasma is far below its Km for activation by the T-Tm complex, the formation of CPU will be directly proportional to the proCPU concentration. A low or high proCPU plasma concentration might therefore tip the balance between profibrinolytic and antifibrinolytic pathways and thereby cause a predisposition to bleeding or thrombosis. Content: To measure plasma proCPU concentrations, different methods have been developed based on 2 different principles: antigen determination and measurement of CPU activity after quantitative conversion of the proenzyme to its active form by addition of T-Tm. The major drawbacks that should be kept in mind when analyzing clinical samples by both principles are reviewed. Conclusions: proCPU is a potential prothrombotic risk factor. Evaluation of its relationship with thrombosis requires accurate assays. Many assays used in different clinical settings are inadequately validated, forcing reconsideration of conclusions made in these reports.

The occurrence of zoonotic parasites in rural dog populations from northern Portugal

2013 ◽  
Vol 88 (2) ◽  
pp. 203-209 ◽  
Author(s):  
A.S. Cardoso ◽  
I.M.H. Costa ◽  
C. Figueiredo ◽  
A. Castro ◽  
M.A.P. Conceição
Keyword(s):  
Risk Factor ◽  
Intestinal Parasites ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Parasite Prevalence ◽  
Rural Region ◽  
Northern Portugal ◽  
Faecal Samples ◽  
Factor Evaluation ◽  
Zoonotic Parasites

AbstractA survey of intestinal parasites in dogs was carried out in a rural region around Cantanhede, in northern Portugal, where 301 dog faecal samples were collected from small-ruminant farms. Saturated salt flotation and formol–ether sedimentation techniques were used. An enquiry was conducted in 234 farms and a risk factor evaluation for zoonotic helminths was determined among the 195 farmers who owned dogs. The overall parasite prevalence in faecal samples of dogs was 58.8%, with specific prevalences for Ancylostomidae being 40.9% followed by species of Trichuris (29.9%), Toxocara (8%), Isospora (4%), Capillaria (0.7%) and Spirometra (0.3%). Taeniidae eggs were present in five samples (1.7%) which were analysed with the polymerase chain reaction (PCR) technique and revealed to be from Taenia sp., and not Echinococcusgranulosus. This rural region has a traditional small-farm system, in which farm products are mainly for in-house consumption and home slaughtering is a current practice (57%). Analysis showed home slaughtering to be a statistically significant risk factor for the presence of Ancylostomidae (P= 0.007) and Toxocara sp. (P= 0.049). Owning cattle was found to be a significant risk factor for Taenia sp. (P= 0.031).

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