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International Journal of e-Collaboration
Journal Prestige (SJR): 0.49

Citation Impact (citeScore): 1
Number of Followers: 0

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ISSN (Print) 1548-3673 - ISSN (Online) 1548-3681
Published by IGI Global

[147 journals]

APPLICATION OF BLOCKCHAIN TECHNOLOGY IN FRESH FOOD SUPPLY CHAIN UNDER
COVID-19 ENVIRONMENT IN CHINA
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  Abstract: Food safety is a vital issue of public and social concern. Since the outbreak of the COVID-19, frozen fresh food has become the hardest hit area for the spread of the COVID-19. In response to the opaque information, lack of trust, and difficulty in traceability in the fresh food supply chain, the article proposes blockchain technology to address the problem. This paper defines a blockchain technology use case and a quick reference guide to design a blockchain network for the food industry. It improves transparency throughout the supply chain and helps reconcile the documentation and required data with legislation authorities to import cold chain products to certify the quality of the final product. The fresh food supply chain framework can ensure integrity, authenticity, and supply chain information. This design is of great significance to ensure the traceability of the fresh food supply chain.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307125
  Issue No: Vol. 18, No. 3 (2022)
PURCHASE INTENTION OF PRODUCTS PLACED IN HOLLYWOOD MOVIES AMONG CHINES
YOUTH IN BEIJING
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  Abstract: Product placement has been graded as one of the most influencing and attractive marketing strategy in gaining an above-average returns and getting better business shares. In this research project , product placement as an marketing strategy was assess among the China’s youth in the Hollywood moves that how much China youth have been effected by the product placement strategy. To meet the objectives of the study, cross-cultural survey was conducted. The survey was based on well-structured adopted questionnaire. The target population was the youth of china and about 369 university students were participated in the research. Data was analyzed using SPSS. The study revealed that students had awareness of the product placement in the Hollywood movies. The result predicts that product placement is an effective marketing strategy, which are attracting china’s youth and influencing their purchase intensions. The results also proclaim that youth are free in taking decisions.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307126
  Issue No: Vol. 18, No. 3 (2022)
An Analysis on E-Evaluation of Food Quality Traceability System
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  Abstract: In recent years, China has obtained positive achievements in the construction of traceability systems for key products, such as edible agricultural products and food. However, problems such as complex situations, one-sided information, repeated system construction, and lack of qualification of information testing agencies still exist in food quality traceability. Based on the development features of the industry, this paper puts forward countermeasures and suggestions for the construction of a food quality traceability system.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307127
  Issue No: Vol. 18, No. 3 (2022)
THE MARKETING PROSPECTS OF CONSUMER’S TRUST IN BANKING SERVICES TO
REDUCE PERCEIVED FINANCIAL RISK AND ENHANCE INTENTIONS IN USING INTERNET
BANKING
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  Abstract: Purpose – Eight items are measured to determine consumers’ perceived financial risk in using Internet retail banking and set up a framework to understand the role of perceived financial risk, and how it relates with consumer's trust in Internet retail banking and behavioral intentions to use Internet retail banking. Methods – An online survey was conducted using 307 Malaysian online banking customers. Therefore,Structural equation modeling was used to analyze the collected data. Findings – A consumer's behavioral intentions to use Internet retail banking are also affected by their perceived financial risk. And there is a mediating role of perceived financial risk exists in the relationship between consumer's trust in Internet retail banking and behavioral intentions to use Internet retail banking. Originality/value – The results confirm that banks must reflect on their consumer's trust while reducing various perceived financial risks such as financial loss resulting from credit card number loss, service delivery loss, overcharged fee on an online transaction,etc.,
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307128
  Issue No: Vol. 18, No. 3 (2022)
Enhancement of Students Attentiveness using Deep Learning Techniques
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  Abstract: The cognitive state of mind helps us to perceive various kinds of information which can aid us in inferring various insights. Emotion recognition has been a prominent field of study which helps us to get insights into the cognitive state of mind. There have been various prior works done in the field of emotion recognition which has their applications in the fields of education, marketing, analysis, etc. Having access to such information allows us to draw insights. Though there have been various models made, there hasn't been much focus on improving the features of an image that define an emotion. The paper which we propose is to use image processing techniques on the images which would enhance the quality of the images and make them run under a convolutional neural network (CNN) along with eye tracking system to track the gaze of a student in order to identify the attentivity of a student. The dataset being used for this experiment is the FEC dataset which contains a set of 35000 images of 48 x 48 size. Experimentally determined results have resulted in achieving an accuracy of 94%.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307129
  Issue No: Vol. 18, No. 3 (2022)
Predictive Assessment of Fetus Features Using Scanned Image Segmentation
Techniques and Deep Learning Strategy
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  Abstract: Fetus weight at various stages of pregnancy is a critical component in determining the health of the baby. Abnormalities arising early in the pregnancy may be prevented by preventive measures. A variety of techniques suggested to predict foetus weight. Computer vision is a capability that can estimate the weight of a baby based on ultra-sonograms taken at various stages of pregnancy. Using the scanned data, one may train an advanced convolutional neural network that helps in accurately forecasting the fetus's size, weight, and overall health. The research utilizes computer vision techniques with image clustering methods for preprocessing, to predict the foetus's health, training datasets defective foetus datasets and healthy foetus datasets. Developing an integrated computer vision and a deep neural network is the hour which decrease the cost of operations and manual processes This study estimate the fetus's weight with optimal accuracy range at varying gestation age.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307130
  Issue No: Vol. 18, No. 3 (2022)
APPLICATION RESEARCH OF IICA ALGORITHM IN LIMITED-BUFFER SCHEDULING
PROBLEM
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  Abstract: An improved imperialist competition algorithm (IICA) was proposed to resolve the problem of flexible flow shop scheduling that with limited buffer (LBFFSP). The IICA algorithm adds the elite personal retention strategy, reform operation and the discrete processing on the basis of ICA algorithm. This paper uses an individual selection mechanism based on Hamming distance to improve the ability of initial solution. The prospect is to use the IICA to work out related problems in cloud computing environment. The scheduling problem in the cloud-computing environment needs to consider the optimization of the completion time and cost of using cloud resources. At last, simulation tests and example tests are used to check the usefulness of improved imperialist competition algorithm in solving LBFFSP problem. Compared with standard ICA, the improved ICA has improved in the algorithm evolution process. As such, scheme 4 has a better ability to evolve, and its evolution time is greater than that of scheme 3. Scheme 5 has the best algorithm optimization performance.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307131
  Issue No: Vol. 18, No. 3 (2022)
Automatic face segmentation using adaptively regularized kernel based
fuzzy clustering means with level set algorithm
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  Abstract: In this research, a new level set based segmentation algorithm was proposed for human face segmentation. At first, the human facial images were collected from FAce Semantic SEGmentation (FASSEG) dataset. After collecting the images, pre-processing was accomplished by utilizing Contrast limited adaptive histogram equalization (CLAHE). The undertaken methodology effectively improves the quality of facial images by removing the unwanted noise. Then, segmentation was done by using Adaptively Regularized Kernel Based Fuzzy Clustering Means (ARKFCM) clustering with level set, which was a high level machine learning algorithm for localizing the face parts in complex template. Simulation outcome shows that the proposed segmentation algorithm effectively segments the facial parts in light of precision, recall, jaccard coefficient, dice coefficient, accuracy, and miss rate. The proposed segmentation algorithm enhanced the segmentation accuracy in face segmentation upto 4.5% compared to the existing methodology (pixel wise segmentation).
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307132
  Issue No: Vol. 18, No. 3 (2022)
Classification of Vital Genetic Syndromes Associated with Diabetes using
ANN-Based CapsNet Approach
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  Abstract: Diabetes has been linked to a wide range of genetic abnormalities or disorders like Cushing syndrome, Wolfram’s syndrome. The factual significance of these relatively uncommon disorders originates from the knowledge that supplies into the potential processes driving prevalent diabetes. Diabetes-related syndromes are presently classified based on clinical and biochemical characteristics. However, until now, no expertise classification strategies are developed for classifying diabetes-associated syndrome disorders efficiently and accurately. Thus, we introduce an Artificial Neural Network framework based on CapsNets to categorize vital genetic disorders related to diabetes. Here, a capsule represents a bundle or set of neurons used to retain data about an essential subject and provides precise information in each image. The suggested approach was systematically compared using cutting-edge methods and basic classification models. With an overall 91.4 percent accuracy, the proposed CapsNets-based method provides the best sensitivity89.93%, specificity 90.77%, and F1-score value 93.10%
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307133
  Issue No: Vol. 18, No. 3 (2022)
NON-LINEAR INTELLIGENCE FLEXIBILITY MANAGEMENT OF TALENTS IN PRIVATE
HIGHER VOCATIONAL YUNNAN COLLEGE, CHINA
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  Abstract: Nonlinear intelligence focuses on the multi-facet structure of the human intelligence, which includes but not limited to skills, experiences, qualifications, and practices. In this study, nonlinear intelligence was studied in the vocational YunNan, college of business management and vocational institutions in China. Data was collected through structured questionnaire adopted from previous studies and was incorporated in the current studies with the consultations of experts and academicians. SPSS was used to assess the means scores of the constructs under investigations. The results indicate that linear style of intelligence management is found in the teaching-learning processes in the vocational institutions. The results are also correlated with the contextual practices and experiences, that vocational graduates lack risk-taking behaviors. The study further recommends that the universities and the vocational colleges should change their teaching-learning styles to covert the learning and working mechanism to sort the real-world problems in a more real way.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307134
  Issue No: Vol. 18, No. 3 (2022)
DOMESTIC RESEARCH HOT SPOTS AND FRONTIER ANALYSIS OF VIRTUAL REALITY
TECHNOLOGY IN THE FIELD OF EDUCATION
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  Abstract: Virtual reality technology has been widely used due to its characteristics of immersion and interaction and has become a research hot spot both at home and abroad. In this research, the analysis technology of visual knowledge graph is adopted, and the core journals included in the CNKI database are taken as the literature source. The domestic research of virtual reality in the field of education. The researches show that the hot spots in this field include the construction of virtual experiment platform, the experiment application of medical simulation, the experiment application of simulation to improve safety, the teaching reform propelled by the application of virtual technology, the application of virtual simulation in innovation and entrepreneurship education, and the theoretical research of virtual learning community. Meanwhile, the research frontiers in this field are analyzed through the keyword burst graph, including the application of virtual reality in education, the informational construction of universities, and the integration of virtual reality and frontier technology.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307135
  Issue No: Vol. 18, No. 3 (2022)
UNDERSTANDING CONSUMERS INTENTION TOWARDS BLOCK CHAIN BASED MOBILE PAYMENT
ADOPTION SERVICES IN PAKISTAN
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  Abstract: The paper reflects the application of a positivist study and quantitative methods for evaluation of variable relationships. The researcher developed a survey-based methodology and disseminated the questionnaire to consumers of Pakistan through online. Structural equation modeling, confirmatory factor analysis and all supporting statistical tests have been applied on the data in order to evaluate the accuracy;the findings suggest that the usability and factors like the security of online services influence the consumers. Moreover, the performance and effectiveness of these measures influence the decision to use and recommend the services to others as well. The study contributed to the literature by validating and supporting the applicability, usage and development of mobile payment services and produces important implications for the managerial and policymakers of these industries.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307136
  Issue No: Vol. 18, No. 3 (2022)
TEACHER INTELLIGENCE TRAINING BASED ON BIG DATA AND ARTIFICIAL
INTELLIGENCE
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  Abstract: The purpose of this paper is to improve the theoretical system of teacher's intelligent training, build a teacher's intelligent training platform, build an intelligent training course resource and establish a teacher's intelligent training mechanism. This article mainly uses the methods of investigation and interviews to analyze the status quo of teachers' professional development, existing problems, and research needs. The results of the questionnaire survey showed that 46.7% of participants were in favor of smart training, but there were also 70 people who believed that the biggest difficulty in smart training was the lack of a relatively fixed and effective platform. Therefore, it is necessary to design an intelligent training platform to provide a good platform for teachers to learn.
  Keywords: Social Computing; Media & Communications; E-Collaboration
  Citation: International Journal of e-Collaboration (IJeC), Volume: 18, Issue: 3 (2022) Pages: 0-0
  PubDate: 2022-05-01T04:00:00Z
  DOI: 10.4018/IJeC.307137
  Issue No: Vol. 18, No. 3 (2022)