Study on factors influencing the performance of the farmer-producer organizations dealing with non-perishable products Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.22271/maths.2023.v8.i4sj.1143
Tamil Nadu had almost 900 FPOs at that time, with more than 50% of them dealing with non-perishable products in various forms. Each of them had the highest potential to grow, but only a few were performing well, while others were not. While observing them, there were some factors that differentiated the well-performing FPOs from the other FPOs that were yet to perform well. The study aimed to find the factors that influenced the performance of the Farmer's Producer Organizations. Many of the influencing factors were identified through brainstorming with different CEOs, boards of directors of the FPOs, and other experts in the field. Major factors such as operational factors, managerial factors, financial factors, and leadership factors were considered for the study. These factors were then converted into statements to determine the degree of influence on the performance of the FPOs. The sample was collected from 60 respondents (CEOs and BODs). Once the data were collected, the analysis was carried out using the Exploratory Factor Analysis method in the SPSS software. The factors were divided into three levels: highly influencing, moderately influencing, and low influencing factors. The study found that out of 68.7% of the identified factors influencing the performance, 53% of the performance was influenced by operational factors, 8.5% of the performance was influenced by marketing factors, and 7.146% of the performance was influenced by financial factors.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22271/maths.2023.v8.i4sj.1143
- https://www.mathsjournal.com/pdf/2023/vol8issue4S/PartJ/S-8-4-109-405.pdf
- OA Status
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- References
- 7
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- OpenAlex ID
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Raw OpenAlex JSON
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https://doi.org/10.22271/maths.2023.v8.i4sj.1143Digital Object Identifier
- Title
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Study on factors influencing the performance of the farmer-producer organizations dealing with non-perishable productsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-07-01Full publication date if available
- Authors
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N Sivavishnu, M Malrkodi, D. Elumalai, R.P. Vasanthi, S. R. PadmaList of authors in order
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https://doi.org/10.22271/maths.2023.v8.i4sj.1143Publisher landing page
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https://www.mathsjournal.com/pdf/2023/vol8issue4S/PartJ/S-8-4-109-405.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.mathsjournal.com/pdf/2023/vol8issue4S/PartJ/S-8-4-109-405.pdfDirect OA link when available
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Business, Marketing, Brainstorming, Sample (material), Tamil, Chemistry, Chromatography, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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7Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.The | 64, 141, 171, 186 |
| abstract_inverted_index.and | 98, 114, 149, 182, 218 |
| abstract_inverted_index.but | 31 |
| abstract_inverted_index.few | 34 |
| abstract_inverted_index.for | 119 |
| abstract_inverted_index.had | 2, 25 |
| abstract_inverted_index.low | 183 |
| abstract_inverted_index.out | 160, 190 |
| abstract_inverted_index.the | 26, 51, 55, 69, 73, 76, 82, 96, 102, 120, 131, 136, 139, 152, 156, 162, 168, 194, 198, 202, 211, 221 |
| abstract_inverted_index.was | 143, 158, 204, 213, 223 |
| abstract_inverted_index.yet | 60 |
| abstract_inverted_index.8.5% | 209 |
| abstract_inverted_index.Each | 22 |
| abstract_inverted_index.FPOs | 5, 53, 57 |
| abstract_inverted_index.Many | 80 |
| abstract_inverted_index.Nadu | 1 |
| abstract_inverted_index.Once | 151 |
| abstract_inverted_index.SPSS | 169 |
| abstract_inverted_index.data | 153 |
| abstract_inverted_index.find | 68 |
| abstract_inverted_index.from | 54, 145 |
| abstract_inverted_index.into | 127, 175 |
| abstract_inverted_index.more | 10 |
| abstract_inverted_index.not. | 41 |
| abstract_inverted_index.only | 32 |
| abstract_inverted_index.some | 47 |
| abstract_inverted_index.such | 106 |
| abstract_inverted_index.than | 11 |
| abstract_inverted_index.that | 7, 49, 58, 71, 189 |
| abstract_inverted_index.them | 14, 24 |
| abstract_inverted_index.then | 125 |
| abstract_inverted_index.were | 35, 40, 46, 59, 85, 117, 124, 154, 173 |
| abstract_inverted_index.with | 9, 16, 89 |
| abstract_inverted_index.(CEOs | 148 |
| abstract_inverted_index.68.7% | 192 |
| abstract_inverted_index.CEOs, | 91 |
| abstract_inverted_index.FPOs, | 97 |
| abstract_inverted_index.FPOs. | 140 |
| abstract_inverted_index.Major | 104 |
| abstract_inverted_index.Tamil | 0 |
| abstract_inverted_index.These | 122 |
| abstract_inverted_index.While | 42 |
| abstract_inverted_index.aimed | 66 |
| abstract_inverted_index.found | 188 |
| abstract_inverted_index.grow, | 30 |
| abstract_inverted_index.other | 56, 99 |
| abstract_inverted_index.study | 65, 187 |
| abstract_inverted_index.them, | 44 |
| abstract_inverted_index.there | 45 |
| abstract_inverted_index.three | 176 |
| abstract_inverted_index.time, | 8 |
| abstract_inverted_index.using | 161 |
| abstract_inverted_index.well, | 37 |
| abstract_inverted_index.well. | 63 |
| abstract_inverted_index.while | 38 |
| abstract_inverted_index.7.146% | 219 |
| abstract_inverted_index.BODs). | 150 |
| abstract_inverted_index.Factor | 164 |
| abstract_inverted_index.almost | 3 |
| abstract_inverted_index.boards | 92 |
| abstract_inverted_index.degree | 132 |
| abstract_inverted_index.field. | 103 |
| abstract_inverted_index.forms. | 21 |
| abstract_inverted_index.highly | 178 |
| abstract_inverted_index.method | 166 |
| abstract_inverted_index.others | 39 |
| abstract_inverted_index.sample | 142 |
| abstract_inverted_index.study. | 121 |
| abstract_inverted_index.carried | 159 |
| abstract_inverted_index.dealing | 15 |
| abstract_inverted_index.divided | 174 |
| abstract_inverted_index.experts | 100 |
| abstract_inverted_index.factors | 48, 70, 84, 105, 116, 123, 172, 196 |
| abstract_inverted_index.highest | 27 |
| abstract_inverted_index.levels: | 177 |
| abstract_inverted_index.perform | 62 |
| abstract_inverted_index.through | 87 |
| abstract_inverted_index.various | 20 |
| abstract_inverted_index.Analysis | 165 |
| abstract_inverted_index.Farmer's | 77 |
| abstract_inverted_index.Producer | 78 |
| abstract_inverted_index.analysis | 157 |
| abstract_inverted_index.factors, | 109, 111, 113, 208, 217 |
| abstract_inverted_index.factors. | 185, 227 |
| abstract_inverted_index.products | 18 |
| abstract_inverted_index.collected | 144 |
| abstract_inverted_index.converted | 126 |
| abstract_inverted_index.determine | 130 |
| abstract_inverted_index.different | 90 |
| abstract_inverted_index.directors | 94 |
| abstract_inverted_index.financial | 112, 226 |
| abstract_inverted_index.influence | 134 |
| abstract_inverted_index.marketing | 216 |
| abstract_inverted_index.observing | 43 |
| abstract_inverted_index.potential | 28 |
| abstract_inverted_index.software. | 170 |
| abstract_inverted_index.collected, | 155 |
| abstract_inverted_index.considered | 118 |
| abstract_inverted_index.identified | 86, 195 |
| abstract_inverted_index.influenced | 72, 205, 214, 224 |
| abstract_inverted_index.leadership | 115 |
| abstract_inverted_index.managerial | 110 |
| abstract_inverted_index.moderately | 180 |
| abstract_inverted_index.performing | 36 |
| abstract_inverted_index.statements | 128 |
| abstract_inverted_index.Exploratory | 163 |
| abstract_inverted_index.influencing | 83, 184, 197 |
| abstract_inverted_index.operational | 108, 207 |
| abstract_inverted_index.performance | 74, 137, 203, 212, 222 |
| abstract_inverted_index.respondents | 147 |
| abstract_inverted_index.influencing, | 179, 181 |
| abstract_inverted_index.performance, | 199 |
| abstract_inverted_index.brainstorming | 88 |
| abstract_inverted_index.Organizations. | 79 |
| abstract_inverted_index.differentiated | 50 |
| abstract_inverted_index.non-perishable | 17 |
| abstract_inverted_index.well-performing | 52 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.18594436 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |