scholarly journals Diagnostic Analysis of Technology Adoption and Factors Influencing Adoption Level of Tribal Farmers of Madhya Pradesh

2018 ◽  
Vol 63 (1) ◽  
Author(s):  
P.K. Mishra ◽  
Keyword(s):  
Technology Adoption ◽  
Madhya Pradesh ◽  
Diagnostic Analysis ◽  
Factors Influencing ◽  
Tribal Farmers ◽  
Adoption Level

Technology Adoption

2021 ◽  
pp. 96-119
Author(s):  
Saeed Alzahrani ◽  
Tugrul U. Daim
Keyword(s):  
Technology Adoption ◽  
Influencing Factors ◽  
Consumer Attitudes ◽  
Adoption Decision ◽  
Intention To Adopt ◽  
Factors Influencing ◽  
Depth Analysis ◽  
Hierarchical Decision ◽  
New Form ◽  
Hierarchical Decision Model

Cryptocurrency has emerged in recent years as a new form of money. With the wave of cryptocurrency developments and wild attention, it is essential to understand consumer attitudes toward the adoption of the cryptocurrency and the factors influencing their decisions. Thus, the chapter aims to fill a gap in the current literature by examining the factors that influence the user's intention to adopt cryptocurrency. This adoption is a purchasing decision where users make a decision based on a set of factors that matters to them. This chapter uses a hierarchical decision model (HDM) to understand the user decision to adopt cryptocurrency. The model proposes four main perspectives that influence the adoption decision: economic, technical, social, and personal. This study aims at providing an in-depth analysis of the factors influencing the adoption of cryptocurrency as well as the ranking of these influencing factors based on the quantification of the users' judgments.

scholarly journals Factors influencing the adoption of improved vegetable production practices among women farmers in Aguata-Agricultural Zone, Anambra State, Nigeria

Agrosearch ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 67-81
Author(s):  
L.E. Odoemlam ◽  
F.C. Nzeakor
Keyword(s):  
New Technologies ◽  
Women Farmers ◽  
Farm Size ◽  
Farm Income ◽  
Vegetable Production ◽  
Probit Regression ◽  
Factors Influencing ◽  
Production Practices ◽  
Adoption Level ◽  
On Farm

The study examined the level and determinants of adoption of improved vegetable production practices in the study area. A three-stage sampling procedure was used in the selection of 160 respondents. A structured questionnaire was used for data collection. Data collected were analysed using descriptive statistics and Probit regression model. Results on adoption level of the selected improved vegetable production practices indicated that improved seeds had a grand mean of 𝑥̅ = 3.17, field preparation (𝑥̅ = 3.19), planting distance (𝑥̅ = 2.99), water management (𝑥̅ = 3.43), fertilizer/organic manure application (𝑥̅ = 3.55), pesticides (𝑥̅ = 2.57), harvesting ( 𝑥̅= 5.00) and storage procedure (𝑥̅ = 4.89) based on 5-point Likert scale adoption level. On factors influencing adoption of improved vegetable production practices, the result revealed that farm size (1.00188***), credit access (4.704902**), on-farm demonstration (2.900749**) and farm labour (1.295902***) had a positive and significant influence on improved vegetable production practices by the respondents. The result further indicated that the age (0.3135258***) and the off-farm income (0.0870768) of the farmers had a negative influence on the adoption of improved vegetable production practices. Based on these findings, the study revealed that the women farmers could have full adoption of the improved production practices if the factors are adequately addressed. The study therefore recommends that before the introduction of a new technology, the ADPs should ensure that maximum audience analysis is carried out to address some of the factors influencing adoption. Besides, introduction of new technologies to farmers should go hand-in-hand with on-farm demonstration since it is by that they would develop confidence and allay their fears associated with improved practices.

scholarly journals Analysis of Factors Influencing Adoption of Technology in Cocoa Pod Borer Pest Control: A Case Study in West Sulawesi

2006 ◽  
Vol 22 (3) ◽  
Author(s):  
Herman . ◽  
Parulina Hutagaol ◽  
Suharjono H Sutjahjo ◽  
Aunu Rauf ◽  
D. S Priyarsono
Keyword(s):  
Technology Adoption ◽  
Pest Control ◽  
Survey Method ◽  
Adoption Of Technology ◽  
Factors Influencing ◽  
Pod Borer ◽  
Adoption Of Innovation ◽  
Cacao Plantation ◽  
Farmer Income

Cocoa pod borer is one of the most difficult pests to be controlled, hence it becomes serious threat for sustainable cocoa plantation. The objective of the research is to investigate several factors influencing adoption of innovation technology in pest control by using regression model analysis. The research was carried out in Polewali Mamasa and Mamuju regency, West Sulawesi during February March 2006 using survey method. Number of respondents interviewed in the research was 80 people which was selected by using purposive sampling method. The result shows that CPB in West Sulawesi decreased cocoa productivity 50% (10—90%), caused by less of farmers coordination in controlling CPB and the slowness of technology adoption. Factors which influence farmer's knowledge are provision of field school, farmers income and simplicity of the technology. Factors which influence farmer's attitude are farmer's income knowledge, cultivated cocoa area, provision farmer's group and number of family members. Factors which influence farmer action in PsPSP technology adoption is farmer attitude, farmer income, cultivated cocoa area and availability of extension workers in that area. Government’s involvement in accelerating adoption of innovation technology, especially in preparing capable extension workers and provision of subsidized credit for the farmers is inevitable. Key words: cocoa pod borer, adoption of technology, sustainable cacao plantation, Government’s involvement, West Sulawesi

scholarly journals Factors Influencing the Technology Adoption Behaviours of Litchi Farmers in China

2019 ◽  
Vol 12 (1) ◽  
pp. 271
Author(s):  
Hui Li ◽  
Diejun Huang ◽  
Qiuzhuo Ma ◽  
Wene Qi ◽  
Hua Li
Keyword(s):  
Technology Adoption ◽  
Choice Model ◽  
Southern China ◽  
Primary Data ◽  
Factors Influencing ◽  
Grafting Technique ◽  
Binary Logit ◽  
New Varieties ◽  
Farming Households ◽  
And Training

Litchi is a traditional tree crop grown in Southern China. Sustainable development of the litchi industry is reliant on technology adoption by farmers. The top grafting technique allows for the introduction of new, quality litchi varieties. The fact that these new varieties ripen earlier or later than the traditional ones helps stabilize litchi prices. Selling new litchi varieties can increase farmers’ incomes through higher prices of quality varieties and stabilizing prices by staggering the harvest periods. However, the rate of adoption of top grafting among farmers is low, and up till now, more than half of the litchi trees in China are still traditional litchi varieties. This study explores the factors that influence top grafting adoption by litchi farmers. Using primary data gathered by the China Agriculture Research System of Litchi and Longan (CARSLL) from 567 litchi farming households, a binary logit choice model is employed to determine the factors that influence adoption of litchi top grafting among litchi farmers. The results show that farmers owning larger litchi orchards are more likely to adopt top grafting compared to ones owning smaller orchards. Litchi information accumulation, including experience and training, significantly influences farmers’ technology adoption levels. Moreover, a positive attitude toward technology also significantly influences technology adoption behaviours.

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