Food Innovation Dynamics and Network Support

2016 ◽  
pp. 1-17 ◽  
Author(s):  
G. Schiefer ◽  
J. Deiters
Keyword(s):  
Network Support ◽  
Innovation Dynamics

Buying Behavior of Organizations for Software Products: Influence of Environmental Factors

2019 ◽  
Vol 118 (10) ◽  
pp. 252-271
Author(s):  
Md. Hashmathur Rehman ◽  
Dr. M. Rajkumar
Keyword(s):  
Environmental Factors ◽  
Board Members ◽  
Governing Board ◽  
Buying Behavior ◽  
Multiple Stakeholders ◽  
Software Products ◽  
Environmental Situation ◽  
Business Operations ◽  
Innovation Dynamics ◽  
The Government

The environmental situation for an organization is the environment in which an organization operates.It consists of multiple stakeholders such as governing board members, business competitors, suppliers,customers, the government, etc. They can influence the organization’s decision to adopt an innovation. The influence can ease the organization in adopting the innovation or it can block or affect negatively the organization’s decision to adopt the innovation. Dynamics of the market in which the organization operatesand business competitors will also influence the organization’s decision to adopt innovations.  Customers, Suppliers are sources who will exercise their powers and influence the organization’s decision. Governmentregulation is also equally important and will influence the organization’s decision to adopt innovation. In a nutshell, the environment will influence the organization’s decision to adopt innovations for its business operations.

External sources promoting resilience in adults with intellectual disabilities: A systematic literature review

2020 ◽  
pp. 174462952096194 ◽  
Author(s):  
Femke Scheffers ◽  
Xavier Moonen ◽  
Eveline van Vugt
Keyword(s):  
Social Network ◽  
Literature Review ◽  
Intellectual Disabilities ◽  
Positive Emotions ◽  
Network Support ◽  
Increased Risk ◽  
The Social ◽  
The Face ◽  
External Sources ◽  
Adults With Intellectual Disabilities

Background: Persons with an intellectual disability are at increased risk of experiencing adversities. The current study aims at providing an overview of the research on how resilience in adults with intellectual disabilities, in the face of adversity, is supported by sources in their social network. Method: A literature review was conducted in the databases Psycinfo and Web of Science. To evaluate the quality of the included studies, the Mixed Method Appraisal Tool (MMAT) was used. Results: The themes: “ positive emotions,” “ network acceptance,” “ sense of coherence” and “ network support,” were identified as sources of resilience in the social network of the adults with intellectual disabilities. Conclusion: The current review showed that research addressing sources of resilience among persons with intellectual disabilities is scarce. In this first overview, four sources of resilience in the social network of people with intellectual disabilities were identified that interact and possibly strengthen each other.

scholarly journals Is It Possible to Forecast the Price of Bitcoin?

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 377-420
Author(s):  
Julien Chevallier ◽  
Dominique Guégan ◽  
Stéphane Goutte
Keyword(s):  
Data Analytics ◽  
Daily Variation ◽  
A Priori ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Market Growth ◽  
Network Support ◽  
Market Participants ◽  
Nearest Neighbours ◽  
Stationary Behavior

This paper focuses on forecasting the price of Bitcoin, motivated by its market growth and the recent interest of market participants and academics. We deploy six machine learning algorithms (e.g., Artificial Neural Network, Support Vector Machine, Random Forest, k-Nearest Neighbours, AdaBoost, Ridge regression), without deciding a priori which one is the ‘best’ model. The main contribution is to use these data analytics techniques with great caution in the parameterization, instead of classical parametric modelings (AR), to disentangle the non-stationary behavior of the data. As soon as Bitcoin is also used for diversification in portfolios, we need to investigate its interactions with stocks, bonds, foreign exchange, and commodities. We identify that other cryptocurrencies convey enough information to explain the daily variation of Bitcoin’s spot and futures prices. Forecasting results point to the segmentation of Bitcoin concerning alternative assets. Finally, trading strategies are implemented.

scholarly journals Eco-Innovation, Sustainability and Business Model Innovation by Open Innovation Dynamics

2021 ◽  
Vol 7 (2) ◽  
pp. 149
Author(s):  
Magdalena Pichlak ◽  
Adam R. Szromek
Keyword(s):  
Open Innovation ◽  
Business Models ◽  
Business Leaders ◽  
Innovation Activity ◽  
Computer Assisted ◽  
Supply Chain Collaboration ◽  
Sustainable Business ◽  
Innovation Activities ◽  
Innovation Dynamics ◽  
New Business

The paper aims to analyze the environmental aspects of innovation activity undertaken by companies and, in particular, to assess sustainable business leaders’ propensity to generate eco-innovation. The research described in the paper was descriptive and, to some extent, diagnostic. It was based on a non-random sample and was conducted—using the Computer Assisted Telephone Interview (CATI) method—in 2019 among 54 of the most eco-innovative Polish companies. The results of the research indicate that they are more likely to generate radical rather than incremental changes. Moreover, the most eco-innovative companies are those developing technologies for biodiversity protection. The results further indicate that companies with more than 50 employees have a higher propensity to develop incremental and radical eco-innovation than smaller firms with relatively fewer resources. Finally, this study shows that adopting an open innovation strategy strengthens the propensity to generate eco-innovation, especially radical ones. Moreover, developing such changes is dominated by the adoption of strategic and operational forward supply chain collaboration, involving the absorption of knowledge and information streaming directly from the market. The results can provide a frame for developing new business models incorporating collaboration in eco-innovation activities, especially in the situation of a post-pandemic recovery of the economy.

scholarly journals Research on Automated Defect Classification Based on Visual Sensing and Convolutional Neural Network-Support Vector Machine for GTA-Assisted Droplet Deposition Manufacturing Process

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 639
Author(s):  
Chen Ma ◽  
Haifei Dang ◽  
Jun Du ◽  
Pengfei He ◽  
Minbo Jiang ◽  
...  
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolutional Neural Network ◽  
Manufacturing Process ◽  
Support Vector ◽  
Defect Classification ◽  
Droplet Deposition ◽  
Network Support ◽  
Visual Sensing ◽  
Low Efficiency

This paper proposes a novel metal additive manufacturing process, which is a composition of gas tungsten arc (GTA) and droplet deposition manufacturing (DDM). Due to complex physical metallurgical processes involved, such as droplet impact, spreading, surface pre-melting, etc., defects, including lack of fusion, overflow and discontinuity of deposited layers always occur. To assure the quality of GTA-assisted DDM-ed parts, online monitoring based on visual sensing has been implemented. The current study also focuses on automated defect classification to avoid low efficiency and bias of manual recognition by the way of convolutional neural network-support vector machine (CNN-SVM). The best accuracy of 98.9%, with an execution time of about 12 milliseconds to handle an image, proved our model can be enough to use in real-time feedback control of the process.

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