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<p>A Multivariate Analysis of Agricultural Electronic Trading Adoption</p>

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Title Statement <p>A Multivariate Analysis of Agricultural Electronic Trading Adoption</p>
 
Added Entry - Uncontrolled Name Chaudhary, Sanjay ; Delhi Technological University, and Vivekananda Institute of Professional Studies, Pitampura, Delhi 110 034, India
Suri, P K; Delhi School of Management, Delhi Technological University, Delhi 110 032, India
 
Uncontrolled Index Term Digitalization, ICT, National agriculture market, PLS-SEM
 
Summary, etc. <p class="Abstract">The study addresses the knowledge gap related to the scarce literature on digitalization in India's agricultural marketing. A field survey of five hundred National Agriculture Market users is undertaken to understand the theoretical constructs of wholesale electronic trading adoption in a realistic backdrop of a large digital project. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) methodology is used for the statistical analysis. It demonstrates the positive effect of variables: 'Trust', 'Cost', 'Social Influence', 'Perception-Ease of Use', 'Perception-Usefulness', and 'Facilitating Conditions' on the adoption. The study brings out a simple agricultural wholesale e-trading adoption framework. It extends the existing theoretical knowledge base concerning technology adoption in new contexts (wholesale electronic trading, agriculture, India). It expands the scope of the theory by adding new constructs, 'Trust' and 'Cost'. The study's recommendations are expected to help practitioners in decision-making. It shall help practitioners of developing countries prioritize using scarce resources to deliver the intended benefits to the farming community in terms of administrative ease, user convenience, expanded market reach, faster cycle time,</p>
 
Publication, Distribution, Etc. Journal of Scientific & Industrial Research
2022-09-07 19:53:04
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/59538
 
Data Source Entry Journal of Scientific & Industrial Research; ##issue.vol## 81, ##issue.no## 09 (2022): Journal of Scientific & Industrial Research
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/JSIR/article/download/59538/465594657
http://op.niscair.res.in/index.php/JSIR/article/download/59538/465616363