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Wicked problems: a value chain approach from Vietnam’s dairy product

Overview of attention for article published in SpringerPlus, April 2013
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46 Mendeley
Title
Wicked problems: a value chain approach from Vietnam’s dairy product
Published in
SpringerPlus, April 2013
DOI 10.1186/2193-1801-2-161
Pubmed ID
Authors

Nguyen Viet Khoi

Abstract

In the past few years, dairy industry has become one of the fastest growing sectors in the packaged food industry of Vietnam. However, the value-added creation among different activities in the value chain of Vietnam dairy sector is distributed unequally. In the production activities, the dairy farmers gain low value-added rate due to high input cost. Whereas the processing activities, which managed by big companies, generates high profitability and Vietnamese consumers seem to have few choices due to the lack of dairy companies in the market. These wicked problems caused an unsustainable development to the dairy value chain of Vietnam. This paper, therefore, will map and analyze the value chain of the dairy industry in Vietnam. It will also assess the value created in each activity in order to imply solutions for a sustainable development of Vietnam's dairy industry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Ethiopia 1 2%
Australia 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 8 17%
Student > Bachelor 7 15%
Researcher 6 13%
Lecturer > Senior Lecturer 3 7%
Other 5 11%
Unknown 7 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Economics, Econometrics and Finance 5 11%
Business, Management and Accounting 4 9%
Social Sciences 4 9%
Engineering 2 4%
Other 6 13%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2013.
All research outputs
#20,190,878
of 22,707,247 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#172,137
of 197,209 outputs
Outputs of similar age from SpringerPlus
#73
of 132 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 197,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.