scholarly journals A Novel Method for Food Market Regulation by Emotional Tendencies Predictions from Food Reviews Based on Blockchain and SAEs

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1398
Author(s):  
Zhihao Hao ◽  
Guancheng Wang ◽  
Dianhui Mao ◽  
Bob Zhang ◽  
Haisheng Li ◽  
...  
Keyword(s):  
Consumer Preferences ◽  
Security Analysis ◽  
Web Pages ◽  
Market Regulation ◽  
Safety Research ◽  
Transaction Process ◽  
Stacked Autoencoders ◽  
Regulation Method ◽  
Food Market ◽  
Regulation Strategies

As a part of food safety research, researches on food transactions safety has attracted increasing attention recently. Food choice is an important factor affecting food transactions safety: It can reflect consumer preferences and provide a basis for market regulation. Therefore, this paper proposes a food market regulation method based on blockchain and a deep learning model: Stacked autoencoders (SAEs). Blockchain is used to ensure the fairness of transactions and achieve transparency within the transaction process, thereby reducing the complexity of the trading environment. In order to enhance the usability, relevant Web pages have been developed to make it more friendly and conduct a security analysis for using blockchain. Consumers’ reviews after the transactions are finished can be used to train SAEs in order to perform emotional tendencies predictions. Compared with different advanced models for predictions, the test results show that SAEs have a better performance. Furthermore, in order to provide a basis for the formulation of regulation strategies and its related policies, case studies of different traders and commodities have also been conducted, proving the effectiveness of the proposed method.

Is there a promising market ‘in between’ organic and conventional food? Analysis of consumer preferences

2009 ◽  
Vol 24 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Meike Janssen ◽  
Astrid Heid ◽  
Ulrich Hamm
Keyword(s):  
Production Systems ◽  
Animal Feed ◽  
Consumer Preferences ◽  
Food Additives ◽  
Organic Production ◽  
Low Input ◽  
High Preference ◽  
Organic Products ◽  
Food Market ◽  
Certified Organic

AbstractVarious products incorporating single aspects of organic production systems such as lower inputs of pesticides, food additives or concentrated animal feed are found on the food market (referred to as low-input products hereafter). In our study, we analyzed how consumers react to low-input products in a purchase simulation with certified organic, conventional and low-input products. In the purchase simulations, each participant was asked to make three consecutive purchase decisions, one each for milk, yogurt and apples. The results of a cluster analysis revealed one cluster with a high preference for organic products and three clusters that featured considerable shares of low-input purchases. The latter clusters, however, were not characterized by a clear preference for low-input products. Rather, they bought mixed baskets of goods, i.e., low-input products in combination with either organic or conventional products. The low-input products in the categories milk, yogurt and apples did thus not necessarily attract the same groups of people. Interestingly, we found that most consumers who chose low-input products in the simulations usually buy those particular products in conventional quality. We conclude that in our study, we found a heterogeneous group of low-input buyers. For the organic sector, communicating the various aspects of organic production might be a promising strategy for gaining new customers. The low-input products in the purchase simulation only featured one special attribute, whereas organic products incorporate several.

JSSlicer: A Static Program Slicing Tool for JavaScript

2012 ◽  
Vol 241-244 ◽  
pp. 2690-2695
Author(s):  
Li Ming Wang ◽  
Ying Xian ◽  
Li Zhang ◽  
Xi Yang Liu
Keyword(s):  
Rapid Development ◽  
Security Analysis ◽  
Program Slicing ◽  
Web Pages ◽  
Proof Of Concept ◽  
Analysis Method ◽  
Dynamic Nature ◽  
The Common ◽  
Scripting Language ◽  
Mode Failure

The rapid development of Web 2.0 leads scripting language such as JavaScript to be ubiquitous in web pages; however the dynamic nature and flexibility of JavaScript make its development, debugging, maintenance, and reuse difficult. To improve the efficiency and accuracy of JavaSript security analysis, we propose a new JavaScript analysis method based on program slicing, together with a prototype-implemented JavaScript slicing tool, named JSSlicer. We also present a proof-of-concept application example of JSSlicer where an example of the common mode failure problem is tackled.

Chemical Expertise and Food Market Regulation inBelle‐EpoqueFrance

2007 ◽  
Vol 23 (4) ◽  
pp. 351-368 ◽  
Author(s):  
Pierre‐Antoine Dessaux
Keyword(s):  
Market Regulation ◽  
Food Market

scholarly journals Market simulation of traceable food in China based on conjoint-value analysis: a traceable case of pork

2020 ◽  
Vol 23 (5) ◽  
pp. 735-746
Author(s):  
Bo Hou ◽  
Linhai Wu ◽  
Xiujuan Chen
Keyword(s):  
Consumer Demand ◽  
Consumer Preferences ◽  
Safety Information ◽  
Chinese Consumers ◽  
Value Analysis ◽  
Traceability System ◽  
Market Simulation ◽  
First Choice ◽  
Food Market ◽  
The Government

The food-traceability system is considered to be one of the main measures to fundamentally prevent food-safety problems. It is of great value to study consumer demand for traceable food and market simulations that can adjust the production and supply structure of traceable food and promote traceable market development. Having sampled and interviewed 2,121 consumers in China, consumer preferences for traceable pork with different levels of safety information, and the respective market share of traceable pork with different product profiles were investigated using conjoint value analysis and the randomized first choice method. Results showed that Chinese consumers prioritized the certification of a traceable-pork safety-information attribute. Furthermore, consumers were willing to pay extra costs in order to obtain traceable safety information. However, this additional expenditure should account for no more than 30% of the price of ordinary pork, or consumer demand for safe pork decreases. Results of a market simulation also identified a type of traceable pork that had an optimal combination of attributes and met the needs of Chinese consumers. Consequently, the government should gradually promote a multilevel traceable-food market system in China by developing a combination of a certification mechanism and traceability system, and increasing financial subsidies for the construction of the traceability system.

scholarly journals ANALYSIS OF AUTOMATED MODERN WEB CRAWLING AND TESTING TOOLS AND THEIR POSSIBLE EMPLOYMENT FOR INFORMATION EXTRACTION / ŠIUOLAIKINIŲ TINKLALAPIŲ AUTOMATIZUOTAM NARŠYMUI IR TESTAVIMUI SKIRTŲ PRIEMONIŲ ANALIZĖ IR PRITAIKOMUMAS INFORMACIJAI RINKTI

2012 ◽  
Vol 4 (1) ◽  
pp. 31-34
Author(s):  
Tomas Grigalis ◽  
Leonardas Marozas ◽  
Lukas Radvilavičius
Keyword(s):  
Web 2.0 ◽  
Information Extraction ◽  
Security Analysis ◽  
Web Pages ◽  
Testing Tools ◽  
Comparison Shopping ◽  
Wide Range ◽  
Web Testing ◽  
Cascading Style Sheets ◽  
Data Extracting

World Wide Web has become an enormously big repository of data. Extracting, integrating and reusing this kind of data has a wide range of applications, including meta-searching, comparison shopping, business intelligence tools and security analysis of information in websites. However, reaching information in modern WEB 2.0 web pages, where HTML tree is often dynamically modified by various JavaScript codes, new data are added by asynchronous requests to the web server and elements are positioned with the help of cascading style sheets, is a difficult task. The article reviews automated web testing tools for information extraction tasks. Santrauka Internetui tapus milžiniška informacijos duomenų baze, susiduriama su informacijos rinkimo problema – kaip iš itin gausaus kiekio informacijos šaltinių pasirinkti tokį, kuris gebėtų informacijos naudotojui pateikti tinkamą ir jį dominančią aktualią informaciją. Taip pat svarbu gebėti analizuoti šiuolaikinius tinklalapius saugumo prasme ir ieškoti juose, pavyzdžiui, įterpto slapto kenkėjiško kodo, o tai galima padaryti tik surinkus informaciją iš tinklalapio. Be to, nauja WEB 2.0 interneto karta priverčia keisti įprastinius informacijos rinkimo metodus, nes Flash, Javascript, Ajax ir kitos naujos technologijos trukdo surinkti informaciją vien tik analizuojant įprastą HTML kodą. Šiame straipsnyje analizuojamos sudėtingų šiuolaikinių tinklalapių naršymo automatizavimui ir testavimui skirtos priemonės, kurios gali būti panaudotos informacijai rinkti.

scholarly journals To Raise or Not to Raise the Level of Ingredients in Yoghurts: Polish Consumer Preferences Regarding Dairy Products

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2526 ◽  
Author(s):  
Marta Sajdakowska ◽  
Agnieszka Tekień
Keyword(s):  
Dairy Products ◽  
Consumer Preferences ◽  
New Products ◽  
Dairy Product ◽  
Health Benefits ◽  
Product Category ◽  
Food Products ◽  
Perceived Health ◽  
Computer Assisted ◽  
Food Market

Modern consumers are becoming increasingly aware of the perceived health benefits of food. As a result, they are in search of various types of information, for example, information on the packaging of food products that could confirm to what extent the purchased product will meet their expectations regarding the proper composition, that is, nutritional value, or perceived health values earlier mentioned. Furthermore, consumers increasingly seek new dairy products with additional health benefits and, therefore, it is essential to explore which attributes are important drivers of food choices and how producers can better respond to shifting consumer values and needs in each dairy product category. Therefore, the aims of our research was twofold: (1) To determine different segments of consumers based on their preferences towards food and nutrition, including opinion on new food products with a particular emphasis on a dairy market as well as (2) to study the importance of some statements related to nutrition presented on the yoghurt label with a precise focus on aspects of the increased and decreased content of some ingredients. The data were collected using a CAPI (Computer Assisted Personal Interview) survey on a sample of 489 adult Polish consumers. Respondents provided answers to questions and took part in a discrete choice-based experiment. The obtained data were analysed using the clustering method. The segmentation was performed using a hierarchical Ward’s method. As a result, four segments were identified: Quality-oriented, Involved, Quality Enthusiasts, and Neutral. The results indicated that in relation to the features that are important in the case of yoghurts, the following were indicated above all: Beneficial effects on health, its sensory values, as well as its availability on the market and production by traditional methods. Consumers belonging to Quality Enthusiasts seemed to be the most promising segment due to their openness to new products, as well as positive feedback on yoghurt. From the perspective of taking action on the food market, Involved may also be interesting, as it showed their openness to new products available on the food market. However, due to the relatively lower, compared to other segments, assessment on the beneficial effect of yoghurt on health, their taste, aroma, availability, as well as the importance of information on care for the proper method of breeding animals, this segment can pose a special challenge to entrepreneurs. Moreover, Involved seemed to be more demanding and critical towards some projects undertaken on the market by policy makers and marketing practitioners.

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