scholarly journals Citespace Knowledge Gap Analysis in Asia Duty Free Tourism Purchasing Behavior

2021 ◽  
Vol 7 (1) ◽  
pp. 1-7
Author(s):  
Feng Hui ◽  
◽  
Piang-or Loahavilai ◽  
Nopasit Chakpitak ◽  
Tirapot Chandarasupsang
Keyword(s):  
Domain Knowledge ◽  
Gap Analysis ◽  
Research Result ◽  
Online Communication ◽  
Future Perspective ◽  
Market Demand ◽  
Purchasing Behavior ◽  
Free Products ◽  
Decision Making Model ◽  
Domestic Products

The tourism shoppers’ purchasing behaviors have critical effects to economies, but there are few of comprehensive review that integrates and synthesis the finding of literature on tourism purchasing behavior systematic from past, present and future perspective. As the international tourists consuming volume have decreased in average, the purchasing behavior has changed into online, planned characters especially under the conflict from COVID 19, this paper tries to find the way to solve this problem for the tourism retailing industries development and the market demand. The methods of this paper is to use the theory of tourist classification and duty-free products classification for research shoppers’ sample identification and duty free products wish lists audition, customers purchasing methods is to analyze the gap, Citespace is used here to fill the gap with domain knowledge and visualize the finding of 150 papers on tourism purchasing behavior published from 2010 to 2020. The finding of this research is: i) Lotte, King Power, Dubai international duty free can be Asia representative research shops, Chinese international tourists can be the research target group; ii) Fragrances & cosmetic, wines & spirits, fashion & accessories and personal luxury goods can be selected as the 4 duty free products categories; iii) Chinese tourism shoppers have the purchasing gap between oversea and domestic products, both those kinds of products can be acquired online and offline; iv) Multiple emergent themes in the existing corpus, the theory of planned behavior and online communication are the key domain knowledge to fill this gap. So, a questionnaire is urgent to design based on this research result to find out the decision tree nodes and then compose the decision-making model for duty free industry and tourism shoppers effectively.

Price and Carbon Emissions Level Decisions in a Two-Echelon Supply Chain: Insights from Carbon Labelling

2013 ◽  
Vol 572 ◽  
pp. 668-671
Author(s):  
Yong Hong Cheng ◽  
Zhong Kai Xiong ◽  
Yu Xiong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Environmental Awareness ◽  
Supply Chain Performance ◽  
Market Demand ◽  
Purchasing Behavior ◽  
Numerical Examples ◽  
Optimal Decisions ◽  
Initial Carbon

To analyze the effects of carbon labelling on firms production and marketing decisions, as well as consumers purchasing behavior, we consider a supply chain consisting of one manufacturer and one retailer and assume the market demand is both price-and carbon emissions level-sensitive, then the optimal decisions policies for pricing and carbon emissions level are discussed under decentralized and centralized decision-making. Interestingly, our results show that only when the initial carbon emissions level of the product is less than a certain threshold, as consumers environmental awareness increasing, the amount of carbon emissions per unit of output produced will decrease. On the contrary, the carbon emissions level will increase. Moreover, we found that when consumers environmental awareness maintains the same level, the centralized decision-making is more conducive to reduce carbon emissions and improve whole supply chain performance. Finally, some numerical examples are given to verify the research results.

scholarly journals Participatory potato (solanum tuberosum l.) variety development in Ethiopia. A review

2019 ◽  
Vol 7 (1) ◽  
pp. 61-75
Author(s):  
Getachew E. Gemechu
Keyword(s):  
Disease Resistance ◽  
Late Blight ◽  
Potato Variety ◽  
Solanum Tuberosum L ◽  
Research Result ◽  
Innovation System ◽  
High Yield ◽  
Southern Ethiopia ◽  
Market Demand ◽  
Tigray Region

Participatory potato variety development includes the identification of the main components, participants and stakeholders, their roles, types of interactions and constraints identified in the system. Some research result indicate that, there is a less complex potato innovation system was observed at the plot site of Ethiopia and a more complex and dynamic system was observed in the case of Peru. Many Achievements were gained by participatory potato variety development in different part of Ethiopia. In southern Ethiopia, Umbulowach, Hawassa Zuria Wereda of Sidama Zone; Marachere variety was preferred by farmers for its excellent response in yield and other traits. In Tigray region of Atsbi woreda, from seven varieties three best performing varieties:  Jalene, Gera, and Gudene were selected for their disease resistance and other quality traits. In North-western Ethiopia, With aid of CASCAPE project in South Achefer, Burie and Jabitehenan Districts, Belete variety was selected for its superior yield, disease and insect tolerance; In West shewa, at Jeldu, Dendi, Wolmera and Degem district, both Farmers Field School (FFS) and Farmers research Group (FRG) were established and a chances were given Farmers to select potato clones suitable to their conditions based on late blight disease resistance and yield.  As    a result, farmer’s ranked as 1st, a potato clone CIP–392650.516 which is the highest yielder and late blight resistant among the tested clones); in Jimma area kersa (serbo), Seka Chekorsa and Dedo Districts, Farmers select Abalolarge 1 st, abateneh 2 nd and Gudane 3 rd as three high yielder variety and in Jimma and Illuababora zone area, variety “Guasa” was selected due to its earliness, high yield advantage and market demand.

scholarly journals Multiobjective Decision-Making for Technical Characteristics Selection in a House of Quality

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jianmin Xie ◽  
Qin Qin ◽  
Maoting Jiang
Keyword(s):  
Decision Making ◽  
Influencing Factor ◽  
Relative Weight ◽  
Technical Characteristic ◽  
Technical Property ◽  
Market Demand ◽  
House Of Quality ◽  
Fuzzy Front End ◽  
Multiobjective Decision Making ◽  
Decision Making Model

Technical characteristics are an important influencing factor in fuzzy front-end of product innovation design and also an important output of the house of quality. The analysis and decision-making of technical characteristics are conducive to the rational allocation of resources according to their own advantages and the design of products in line with market demand. In view of the multiple objective constraints and internal fuzziness of technical property selection in the house of quality, the traditional methods have great limitations on the decision-making of technical property. Therefore, this paper proposes a multiobjective decision-making method for technical property selection in the house of quality, which aims to calculate and modify the basic importance of technical property. Based on the rough set algorithm, the basic importance of technical characteristics is determined by using the correlation matrix between consumer demand and technical characteristics, and the relative weight of multiple objectives is determined by “least squares.” On this basis, the multiobjective decision-making model of technical characteristic selection is established and calculated. At last, an example of mobile phone product design was used to verify the practicability and effectiveness of the method.

scholarly journals Research on inventory pledge Financing Pledge Decision under Internet of Things Technology

2020 ◽  
Vol 4 (2) ◽  
pp. 80
Author(s):  
Zhang Xiangxiang ◽  
Gao Gengjun
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Coverage Rate ◽  
The Internet ◽  
Decision Making Process ◽  
Market Demand ◽  
Decision Making Model ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Inventory pledge financing not only solves the financing difficulties of small and medium-sized enterprises, but also opens up business channels for banks. Under the random market demand, this article studies the pledge decision-making of perishable pledges in the inventory pledge business, and establishes that banks do not adopt and adopt the Internet of Things. The pledge rate decision-making model in the two technical situations aims at maximizing the profit at the end of the pledge period. The factors in the model such as the pledge rate, end-of-period income, and IoT technology coverage rate are analyzed respectively, and finally the decision-making process is verified through calculation examples. Studies have shown that, within a certain range, banks can use IoT technology to supervise pledges to obtain greater benefits. However, as the coverage of IoT technology increases, bank revenues continue to decrease, so to obtain greater benefits requires the Internet of Things technology set by the bank Invest.

scholarly journals A dual factor decision making model in green manufacturing

2021 ◽  
Author(s):  
Bahador Jamshidy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Product Information ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Product Recovery ◽  
Market Demand ◽  
Decision Making Model ◽  
Second Category ◽  
The Impact

This study focuses on the evaluation of different methods of product recovery for GM. The evaluation is conducted through the application of a decision making model. The model evaluates product recovery options on the basis of two categories: optimization of objective factors and market demand. The first category in the model focuses on optimization of five objective factors, including environmental impact (E), cost (C), quality (Q), resource consumption (R), and time (T). Goal programming is used to solve the optimization problem. The goal programming is supported by the construction of a decision making tree with three branches: remanufacturing, refurbishing, and current manufacturing. The solution of the decision tree helps determine the best method of product recovery for GM. The second category in the model focuses on the evaluation of market demand. This further supports the selection of the best method for product recovery. To evaluate market demand, a Bayesian forecasting model is used in the construction of a decision making tree. The study shows that the availably of products information including the objective factors and market demand, has a positive impact on making product recovery decisions. It also shows how recovery decisions can be modeled in decision making tress to represent the impact of product information on those decisions.

scholarly journals Coordination Strategy of the Supply Chain with Consumer Preferences under the “Presale and Spot-Sale” Mode

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xiaogang Cao ◽  
Hui Wu ◽  
Kebing Chen ◽  
Hui Wen
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Consumer Preferences ◽  
Consumer Preference ◽  
Third Party ◽  
Equilibrium Strategy ◽  
Market Demand ◽  
Exogenous Variables ◽  
Coordination Strategy ◽  
Decision Making Model

In recent years, the market economy has been booming, and the demand of consumers has begun to become diversified. Consumers’ preferences for products, the sensitivity of product prices, and other factors can often affect the market demand and also make enterprises realize the importance of consumer preferences. The decision-making model of the supply chain with consumer preference composed of a retailer and a third-party presale platform is established, and we analyze the implementation of a single presale model, a single spot-sale model, and decision-making models under the “presale and sale” mode. The equilibrium strategy of centralized decision and decentralized decision under the mode of “presale and sale” is compared, and the influence of the proportion of informed consumers and the exogenous variables of cross-period discount on supply chain decision is further analyzed. The coordination strategy of the decentralized decision supply chain under the mode of “presale and sale” is put forward, and the coordinated operation among supply chain members is realized. The results show that compared with other sales models, the “presale and spot-sale” model is more beneficial to the profit of the supply chain.

scholarly journals From Polyclonal Sera to Recombinant Antibodies: A Review of Immunological Detection of Gluten in Foodstuff

Foods ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 66
Author(s):  
Eduardo Garcia-Calvo ◽  
Aina García-García ◽  
Raquel Madrid ◽  
Rosario Martin ◽  
Teresa García
Keyword(s):  
Polyclonal Antibodies ◽  
Chemical Properties ◽  
Recombinant Antibodies ◽  
Hybridoma Cells ◽  
Gluten Free ◽  
Market Demand ◽  
Free Products ◽  
Protein Motifs ◽  
Detection Systems ◽  
Antibodies Monoclonal

Gluten is the ethanol-soluble protein fraction of cereal endosperms like wheat, rye, and barley. It is widely used in the food industry because of the physical–chemical properties it gives to dough. Nevertheless, there are some gluten-related diseases that are presenting increasing prevalences, e.g., celiac disease, for which a strict gluten-free diet is the best treatment. Due to this situation, gluten labeling legislation has been developed in several countries around the world. This article reviews the gluten immune detection systems that have been applied to comply with such regulations. These systems have followed the development of antibody biotechnology, which comprise three major methodologies: polyclonal antibodies, monoclonal antibodies (mAbs) derived from hybridoma cells (some examples are 401.21, R5, G12, and α-20 antibodies), and the most recent methodology of recombinant antibodies. Initially, the main objective was the consecution of new high-affinity antibodies, resulting in low detection and quantification limits that are mainly achieved with the R5 mAb (the gold standard for gluten detection). Increasing knowledge about the causes of gluten-related diseases has increased the complexity of research in this field, with current efforts not only focusing on the development of more specific and sensitive systems for gluten but also the detection of protein motifs related to pathogenicity. New tools based on recombinant antibodies will provide adequate safety and traceability methodologies to meet the increasing market demand for gluten-free products.

scholarly journals Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis

2021 ◽  
Vol 60 ◽  
pp. 692-706
Author(s):  
Guoyan Li ◽  
Chenxi Yuan ◽  
Sagar Kamarthi ◽  
Mohsen Moghaddam ◽  
Xiaoning Jin
Keyword(s):  
Domain Knowledge ◽  
Manufacturing Industry ◽  
Data Science ◽  
Gap Analysis ◽  
Knowledge Requirements

scholarly journals A dual factor decision making model in green manufacturing

2021 ◽  
Author(s):  
Bahador Jamshidy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Product Information ◽  
Positive Impact ◽  
Green Manufacturing ◽  
Product Recovery ◽  
Market Demand ◽  
Decision Making Model ◽  
Second Category ◽  
The Impact

This study focuses on the evaluation of different methods of product recovery for GM. The evaluation is conducted through the application of a decision making model. The model evaluates product recovery options on the basis of two categories: optimization of objective factors and market demand. The first category in the model focuses on optimization of five objective factors, including environmental impact (E), cost (C), quality (Q), resource consumption (R), and time (T). Goal programming is used to solve the optimization problem. The goal programming is supported by the construction of a decision making tree with three branches: remanufacturing, refurbishing, and current manufacturing. The solution of the decision tree helps determine the best method of product recovery for GM. The second category in the model focuses on the evaluation of market demand. This further supports the selection of the best method for product recovery. To evaluate market demand, a Bayesian forecasting model is used in the construction of a decision making tree. The study shows that the availably of products information including the objective factors and market demand, has a positive impact on making product recovery decisions. It also shows how recovery decisions can be modeled in decision making tress to represent the impact of product information on those decisions.

scholarly journals Does the Development of the Insurance Industry Promote the Purchase of Rural Commercial Health Insurance?

2021 ◽  
Vol 9 ◽  
Author(s):  
Cong Li ◽  
Si-Fan Wang ◽  
Xi-Hua Liu ◽  
Li Wang
Keyword(s):  
Health Insurance ◽  
Insurance Industry ◽  
Research Result ◽  
Life Quality ◽  
Insurance Companies ◽  
Purchase Behavior ◽  
Purchasing Behavior ◽  
Rural Residents ◽  
Commercial Health Insurance ◽  
The Impact

Deepening the reform of insurance companies and improving commercial insurance protection capabilities become issues important to national strategy. They involve improving China's multi-tiered social security system to analyze the deep-seated reasons impacting the purchasing behavior of commercial health insurance for rural residents in China. Using the DEA-CCR model, this paper evaluates the development of China's insurance industry, inspects the impact of insurance industry development on purchasing behavior of rural commercial health insurance based on the data of tracking survey projects from China's household, and carries out empirical analysis. The research result shows that the development of the insurance industry has obviously promoted the purchase behavior of commercial health insurance for rural residents. This research has significant practical value on protection and promotion of production and life quality of rural residents, which will also provide beneficial reference on the formulation and implementation of future operation strategy in China's commercial health insurance companies.

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