Volume 7, Issue 3, August 2014, Pages 1238–1250
Abanti Cyrus1 and Violet Mwango Nyakundi2
1 School of Computing and Information Technology, College of Pure and Applied Sciences, Jomo Kenyatta University of Agriculture and Technology (JKUAT), India
2 School of Computing and Information Technology, College of Pure and Applied Sciences, Jomo Kenyatta University of Agriculture and Technology (JKUAT), India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study investigated how an extended acceptance model will be used for monitoring sales transactions in a dairy farm. In achieving this, the researcher was guided by the set out objectives. First to investigate the hitches on the adoption of transaction system in a Dairy Farm, secondly to determine the tracking of sales through a Transaction Processing System and thirdly a Transaction Acceptance Sales Monitoring (TRASM) model was developed. The set out objectives were achieved through employing the questionnaire and observation methods under the methodology. The researcher used both open ended and close ended questionnaires to collect the views of the respondents. The researcher found out that costs incurred was the major challenge facing the adoption of TRASM and appropriate monitoring of sales would be done via milk appropriate milk production recording. In solving this, the researcher came up a Transaction Acceptance Sales Monitoring (TRASM) Model. In conclusion, the researcher was of the view that adopting the model would free the Dairy Farm from its effort by making their work easier. The researcher also gave room for further research on the same as research has no end, it is a continuous process.
Author Keywords: TRASM, Acceptance Transaction, Monitoring, Sales.
Abanti Cyrus1 and Violet Mwango Nyakundi2
1 School of Computing and Information Technology, College of Pure and Applied Sciences, Jomo Kenyatta University of Agriculture and Technology (JKUAT), India
2 School of Computing and Information Technology, College of Pure and Applied Sciences, Jomo Kenyatta University of Agriculture and Technology (JKUAT), India
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study investigated how an extended acceptance model will be used for monitoring sales transactions in a dairy farm. In achieving this, the researcher was guided by the set out objectives. First to investigate the hitches on the adoption of transaction system in a Dairy Farm, secondly to determine the tracking of sales through a Transaction Processing System and thirdly a Transaction Acceptance Sales Monitoring (TRASM) model was developed. The set out objectives were achieved through employing the questionnaire and observation methods under the methodology. The researcher used both open ended and close ended questionnaires to collect the views of the respondents. The researcher found out that costs incurred was the major challenge facing the adoption of TRASM and appropriate monitoring of sales would be done via milk appropriate milk production recording. In solving this, the researcher came up a Transaction Acceptance Sales Monitoring (TRASM) Model. In conclusion, the researcher was of the view that adopting the model would free the Dairy Farm from its effort by making their work easier. The researcher also gave room for further research on the same as research has no end, it is a continuous process.
Author Keywords: TRASM, Acceptance Transaction, Monitoring, Sales.
How to Cite this Article
Abanti Cyrus and Violet Mwango Nyakundi, “TRANSACTION ACCEPTANCE SALES MONITORING (TRASM) MODEL,” International Journal of Innovation and Applied Studies, vol. 7, no. 3, pp. 1238–1250, August 2014.
