List of Articles Tile and Ceramic

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  1 - The Ranking Lack of Success Factors of Electronic Commerce in Technical Infrastructure in Tile and Ceramic Factories in Meybod County
  edehghani edehghani
  The electronic commerce is considered as one of the strategies to maintain competitive advantage in the companies. To have a successful electronic commerce in each business, some requirements and infrastructures are needed in advance. "Technical infrastructure" is as th More

  The electronic commerce is considered as one of the strategies to maintain competitive advantage in the companies. To have a successful electronic commerce in each business, some requirements and infrastructures are needed in advance. "Technical infrastructure" is as the most fundamental and most important infrastructure for electronic commerce. In this study, a comprehensive model is presented that introduces the effective factors on the success of electronic commerce in the technical infrastructure and shows that how by using importance-performance analysis model, it can be possible to identify the undesirable infrastructure factors that lead to unsuccessfulness of electronic commerce in each business and prioritize them for improvement and, technical infrastructure of electronic commerce and it’s capabilities which are necessary for successful implementation will be reviewed and technical infrastructure factor that cause failure of the e-commerce in the tile and ceramic industry of Maybod county, as one of the main centers of ceramic and tile production in the world and the biggest exporter of tiles in Iran, will be evaluated using the " analysis of importance- Performance" method. The results indicate that the internal infrastructure as well as the hardware and software available in theses firms, have acceptable condition and non-use of electronic payments, poor public infrastructure (Internet), lack of enough human force and undesirable capability of websites, are the main factors for failure of electronic commerce in term of technical infrastructure in these firms, respectively. [dm1]   [dm1]بازنگری شود Manuscript profile
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  2 - Designing a Model for Assessing Effective Factors in the Excellence of Human Resources with the Approach of System Dynamics(Case study: Yazd Province Ceramic tile Industry)
  amirehsan eshaghiyeh firuzabadi hossein eslami hadi hematian
  Abstract Background: In the ceramic tile industry, like other industries and companies, in order to increase competition in the market, they need capable human resources to comply with the requirements and principles of professional ethics. Based on this, the purpose o More

  Abstract Background: In the ceramic tile industry, like other industries and companies, in order to increase competition in the market, they need capable human resources to comply with the requirements and principles of professional ethics. Based on this, the purpose of this study was to design a model to evaluate the effective factors in the excellence of human resources in order to develop professional ethics in the tile and ceramic industry of Yazd province. Method: This research is applied in terms of purpose and analytical-descriptive in terms of data collection from the survey branch. First, the initial and proposed model was drawn based on the research background and literature. The statistical population in the present study includes three groups of experts and specialists, information and data and personnel of the ceramic tile industry in Yazd province.At first, a panel of experts (15-20) people were selected and dynamic and key variables affecting the model were identified through semi-structured interviews.While collecting statistical data and financial information, a questionnaire was prepared using the opinion of experts and measured using factor analysis, and then distributed among the personnel of the ceramic tile industry (about 22,000 people).Using Morgan table, 373 people were selected as a sample. Then, according to the data collected using powerful Wesim software, the model was simulated in three stages and then validated. Results: The results of nonlinear mathematical model, which was analyzed by computer simulation using Vensim software, show: Factors affecting the excellence of human resources are factors inside and outside the organization, and accordingly, scenarios were described in order to promote the variables affecting the excellence of human resources and with the aim of developing professional ethics. Conclusion: The simulation results show that managers can increase the ability of employees, futures research, attention to exports and reduce the influence of the supervisor by presenting policies such as Employment control, strong and modern marketing, and the policy of eliminating growth patterns and the perspective of developing professional ethics achieve this important goal. Also, attracting managers with ethical leadership styles and having appropriate educational and research experiences and increasing the excellence of human resources based on the development of principles of professional ethics in the industry leads to Increase commitment and loyalty to the system, service motivation and ultimately improve the performance of ceramic tile personnel. Manuscript profile
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  3 - Content-based Retrieval of Tiles and Ceramics Images based on Grouping of Images and Minimal Feature Extraction
  Simin RajaeeNejad Farahnaz Mohanna
  10.61186/jist.34084.11.43.241
  One of the most important databases in the e-commerce is tile and ceramic database, for which no specific retrieval method has been provided so far. In this paper, a method is proposed for the content-based retrieval of digital images of tiles and ceramics databases. Fi More

  One of the most important databases in the e-commerce is tile and ceramic database, for which no specific retrieval method has been provided so far. In this paper, a method is proposed for the content-based retrieval of digital images of tiles and ceramics databases. First, a database is created by photographing different tiles and ceramics on the market from different angles and directions, including 520 images. Then a query image and the database images are divided into nine equal sub-images and all are grouped based on their sub-images. Next, the selected color and texture features are extracted from the sub-images of the database images and query image, so, each image has a feature vector. The selected features are the minimum features that are required to reduce the amount of computations and information stored, as well as speed up the retrieval. Average precision is calculated for the similarity measure. Finally, comparing the query feature vector with the feature vectors of all database images leads to retrieval. According to the retrieving results by the proposed method, its accuracy and speed are improved by 16.55% and 23.88%, respectively, compared to the most similar methods. Manuscript profile