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Empiri no preverjanje modela povezav med poreklom izdelka in zaznano vrednostjo blagovne znamke = Empirical Testing of Associations Between Effects of Country-of- Origin and Perceived Brand Name Value
Tina Vukasovi?,?tefan Bojnec
Management , 2010,
Abstract: The article investigates the importance of perceived brand name valuefrom an external point of view of perception of the Slovenian consumers.Based on the stratified survey and quantitative research we note therelationship between the origin of the product, marketing mix elements,and the perceived brand name value. Emphasis is placed onestablishing how the origin of the product impacts on the perceivedbrand name value and what its impact is on the perceived brand namevalue in comparison with selected marketing mix elements. The articlepresents the model of conceptual relationships between the originof the product and perceived brand name value, which was tested witha structural model of relationships between the origin of the productand perceived brand name value. We developed a measuring instrumentand procedures for checking the reliability and validity of thestructural model of perceived brand name value of the product. Theconceptual model and the relationships within the model were evaluatedby means of the modelling with linear structural equations on aselected sample of respondents, which enabled verification of the conceptualmodel with empirical data. It has been found that the origin ofthe product has at least such a statistically significant influence on theperceived brand name value as the selected marketing mix elements(advertising, product, distribution, and price).
Structural Identifiability of Systems Biology Models: A Critical Comparison of Methods  [PDF]
Oana-Teodora Chis, Julio R. Banga, Eva Balsa-Canto
PLOS ONE , 2011, DOI: 10.1371/journal.pone.0027755
Abstract: Analysing the properties of a biological system through in silico experimentation requires a satisfactory mathematical representation of the system including accurate values of the model parameters. Fortunately, modern experimental techniques allow obtaining time-series data of appropriate quality which may then be used to estimate unknown parameters. However, in many cases, a subset of those parameters may not be uniquely estimated, independently of the experimental data available or the numerical techniques used for estimation. This lack of identifiability is related to the structure of the model, i.e. the system dynamics plus the observation function. Despite the interest in knowing a priori whether there is any chance of uniquely estimating all model unknown parameters, the structural identifiability analysis for general non-linear dynamic models is still an open question. There is no method amenable to every model, thus at some point we have to face the selection of one of the possibilities. This work presents a critical comparison of the currently available techniques. To this end, we perform the structural identifiability analysis of a collection of biological models. The results reveal that the generating series approach, in combination with identifiability tableaus, offers the most advantageous compromise among range of applicability, computational complexity and information provided.
Comparison of Value-at-Risk models: the MCS package  [PDF]
Mauro Bernardi,Leopoldo Catania
Statistics , 2015,
Abstract: This paper compares the Value--at--Risk (VaR) forecasts delivered by alternative model specifications using the Model Confidence Set (MCS) procedure recently developed by Hansen et al. (2011). The direct VaR estimate provided by the Conditional Autoregressive Value--at--Risk (CAViaR) models of Eengle and Manganelli (2004) are compared to those obtained by the popular Autoregressive Conditional Heteroskedasticity (ARCH) models of Engle (1982) and to the recently introduced Generalised Autoregressive Score (GAS) models of Creal et al. (2013) and Harvey (2013). The Hansen's procedure consists on a sequence of tests which permits to construct a set of "superior" models, where the null hypothesis of Equal Predictive Ability (EPA) is not rejected at a certain confidence level. Our empirical results, suggest that, after the Global Financial Crisis (GFC) of 2007-2008, highly non-linear volatility models deliver better VaR forecasts for the European countries as opposed to other regions. The R package MCS is introduced for performing the model comparisons whose main features are discussed throughout the paper.
Protein family comparison using statistical models and predicted structural information
Richard Chung, Golan Yona
BMC Bioinformatics , 2004, DOI: 10.1186/1471-2105-5-183
Abstract: Our tests show that this tool detects more similarities between protein families of distant homology than the previous primary sequence-based method. A very significant improvement in performance is observed when the real secondary structure is used.Integration of primary and secondary structure information can substantially improve detection of relationships between remotely related protein families.Detecting an evolutionary relationship between proteins is the basis for functional inference. Existing methods most often rely on sequence information in an attempt to quantify the evolutionary divergence or similarity between the sequences compared. A significant similarity would suggest that the proteins are related. However, in many cases sequences have diverged to the extent that their similarity is undetectable by standard sequence comparison algorithms. Nevertheless, they may still have similar structures and functions [1,2].It has long been postulated that evolutionary pressure acts upon the three-dimensional structure of proteins and intra-protein interactions rather than at the level of the primary sequence [3,4]. Indeed, there is plenty of evidence to suggest that 3D structure is more conserved than sequence [5,6]. Since the protein structure usually prescribes the function of a protein, relying on structural information (for example, through structure comparison) for functional inference is more effective and reliable than using only the primary sequence. However, although methods of sequencing proteins have become faster and more cost-efficient due to recent technological advancements, methods to determine structure are still in their infancy. In fact, less than 5% of newly sequenced proteins have a known structure. Current empirical processes used to determine structure of proteins are neither efficient nor scalable to use upon the entire known protein space.There have been many attempts to build algorithms that predict protein structure from amino acid se
An Approximate Solution for Boundary Value Problems in Structural Engineering and Fluid Mechanics  [PDF]
A. Barari,M. Omidvar,D. D. Ganji,Abbas Tahmasebi Poor
Mathematical Problems in Engineering , 2008, DOI: 10.1155/2008/394103
Abstract: Variational iteration method (VIM) is applied to solve linear and nonlinear boundary value problems with particular significance in structural engineering and fluid mechanics. These problems are used as mathematical models in viscoelastic and inelastic flows, deformation of beams, and plate deflection theory. Comparison is made between the exact solutions and the results of the variational iteration method (VIM). The results reveal that this method is very effective and simple, and that it yields the exact solutions. It was shown that this method can be used effectively for solving linear and nonlinear boundary value problems.
Comparison of Plasmodium berghei challenge models for the evaluation of pre-erythrocytic malaria vaccines and their effect on perceived vaccine efficacy
Wolfgang W Leitner, Elke S Bergmann-Leitner, Evelina Angov
Malaria Journal , 2010, DOI: 10.1186/1475-2875-9-145
Abstract: Mice were infected with P. berghei sporozoites by intravenous (tail vein) injection, single mosquito bite, or subcutaneous injection of isolated parasites into the subcutaneous pouch at the base of the hind leg. Infection was determined in blood smears 7 and 14 days later. To determine the usefulness of challenge models for vaccine testing, mice were immunized with circumsporozoite-based DNA vaccines by gene gun.Despite modifications that allowed infection with a much smaller than reported number of parasites, the IV challenge remained insufficiently reliable and reproducible. Variations in the virulence of the inoculum, if not properly monitored by the rigorous inclusion of sporozoite titration curves in each experiment, can lead to unacceptable variations in reported vaccine efficacies. In contrast, mice with different genetic backgrounds were consistently infected by a single mosquito bite, without overwhelming vaccine-induced protective immune responses. Because of the logistical challenges associated with the mosquito bite model, the subcutaneous challenge route was optimized. This approach, too, yields reliable challenge results, albeit requiring a relatively large inoculum.Although a single bite by P. berghei infected Anopheles mosquitoes was superior to the IV challenge route, it is laborious. However, any conclusive evaluation of a pre-erythrocytic malaria vaccine candidate should require challenge through the natural anatomic target site of the parasite, the skin. The subcutaneous injection of isolated parasites represents an attractive compromise. Similar to the mosquito bite model, it allows vaccine-induced antibodies to exert their effect and is, therefore not as prone to the artifacts of the IV challenge.Despite decades of research, malaria infection remains a major global health problem with high mortality and morbidity. Efforts to disrupt the life cycle of the parasite by controlling the vector have had only limited success, while the usefulness of a
A Study on Influencing Factors of Knowledge Management Systems Adoption: Models Comparison Approach  [PDF]
Mei-Chun Yeh,Ming-Shu Yuan
Journal of Library and Information Studies , 2007,
Abstract: Using Linear Structural Relation model (LISREL model) as analysis method and technology acceptance model and decomposed theory of planned behavior as research foundation, this study approachesmainly from the angle of behavioral intention to examine the influential factors of 421 employees adopting knowledge management systems and in the meantime to compare the two method models mentioned on the top. According to the research, there is no, in comparison with technology acceptance model anddecomposed theory of planned behavior, apparent increase on the explanatory power with the posterior. On the aspect of influential factors of users toward knowledge management systems, behavioral intention can efficiently predict the usage behavior, while attitude, subjective norm, and perceived behavioral control the behavioral intention. Perceived usefulness can only predict the behavioral intention indirectly, while perceived ease of use can efficiently predict perceived usefulness. Perceived usefulness and perceived ease of use can predict attitude effectively. Both peer influence and superior’s influence can operatively predict the subjective norm. Self efficacy and resource facilitating can predict perceived behavioral control. [Article content in Chinese]
Moderating Effect of Accompaniment on the Relationship Between Online Perceived Quality and Perceived Value  [cached]
Nozha Erragcha,Jamel-Eddine Gharbi
Asian Journal of Business Management , 2012,
Abstract: The aim of this research is to highlight the impact of the mediating effect of the perceived value on the influence of perceived quality of the purchase-site on the buying intention, Moreover; our goal is to study the moderating effect of accompaniment on the relationship between the perceived quality on perceived value web site. The data-gathering was carried out through an experimentation conducted an online-trading site for a laptop purchase. The findings reveal that the perceived quality partially influence the perceived value. The latter exerts a positive effect upon the buying intention. Accompaniment moderates the relationship between the perceived quality and the perceived value.
The Perceived Risk And Value Based Model Of Online Retailing  [PDF]
Figen YILDIRIM,?zgür ?ENGEL
AJIT-e : Online Academic Journal of Information Technology , 2012, DOI: 10.5824/1309-1581.2012.4.001.x
Abstract: On the perspective of highly intensive and globally emphasized conceptual approach of online retailing, there dimensions come forward as the emerging competitive factors derived from the literature. Cited as time, speed, and valued-added offerings in terms of products and services, this paper aims to target the consumer’s value and risk perception as an attempt to discuss the overall issue of interest on the ground of online shopping behavior. Briefly, the problem formulation part of this paper depends on the conflicting theory and implication of how risk and value is being perceived on the perspective of online shopping in terms of willingness to buy and recommend. In this study, a questionnaire has been conducted to Istanbul Commerce University students by utilizing quota sampling. The overall expectation is to generate a well defined extended structural equation model which will be checked by PLS path modeling systems. In this work, understanding of value and risk perception can pose a road map for the formation of marketing strategies that can be applied to the online retail market.
Exploring the relationships among service quality features, perceived value and customer satisfaction  [cached]
Azman Ismail,Muhammad Madi Bin Abdullah,Sebastian K. Francis
Journal of Industrial Engineering and Management , 2009, DOI: 10.3926/jiem..v2n1.p230-250
Abstract: The purpose of this paper is to explore the relationships among service quality features (responsiveness, assurance, and empathy), perceived value and customer satisfaction in the context of Malaysia. The empirical data are drawn from 102 members of an academic staff of a Malaysian public institution of higher learning using a survey questionnaire. The results indicate three important findings: firstly, the interaction between perceived value and responsiveness was not significantly correlated with customer satisfaction. Secondly, the interaction between perceived value and assurance also did not correlate significantly with customer satisfaction. Thirdly, the interaction between perceived value and empathy correlated significantly with customer satisfaction. Thus the results demonstrate that perceived value had increased the effect of empathy on customer satisfaction, but it had not increased the effect of responsiveness and assurance on customer satisfaction. In sum, this study confirms that perceived value act as a partial moderating variable in the service quality models of the organizational sample. In addition, implications and limitations of this study, as well as directions for future research are discussed.
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