Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCEKOQ56
Perceive risk is an important factor that influences the adoption intention. Perceived risk associated with the use of microfinance institutions lending model may adversely affect borrowers. Researchers had applied the concept of perceived risk with Technology Acceptance Model (TAM) to measure the use of information technology, but overlooked the use of TAM on microfinance institutions lending models. This study integrates TAM with the adoption of joint vs. individual liability. To address these challenges, a study was conducted from four ethnic groups namely, Gogo, Zaramo, Chagga and Kinga borrowed from PRIDE (T) and FINCA (T). Questionnaires were used to collect information. The Structural Equation Modeling was used to perform the analysis.
Dr. Pendo N.S. Kasoga. 2015. \u201cRisk Perception and Adoption of Joint Versus Individual Liability: The Case of Selected Tribes in Tanzania\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 15 (GJMBR Volume 15 Issue C10): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
Total Score: 106
Country: Tanzania
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Dr. Pendo N.S. Kasoga (PhD/Dr. count: 1)
View Count (all-time): 171
Total Views (Real + Logic): 4238
Total Downloads (simulated): 2007
Publish Date: 2015 11, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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Perceive risk is an important factor that influences the adoption intention. Perceived risk associated with the use of microfinance institutions lending model may adversely affect borrowers. Researchers had applied the concept of perceived risk with Technology Acceptance Model (TAM) to measure the use of information technology, but overlooked the use of TAM on microfinance institutions lending models. This study integrates TAM with the adoption of joint vs. individual liability. To address these challenges, a study was conducted from four ethnic groups namely, Gogo, Zaramo, Chagga and Kinga borrowed from PRIDE (T) and FINCA (T). Questionnaires were used to collect information. The Structural Equation Modeling was used to perform the analysis.
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