Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model
Improved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Fisheries and Aquatic Science
2023-02-01
|
| Series: | Fisheries and Aquatic Sciences |
| Subjects: | |
| Online Access: | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2023.e9 |
| _version_ | 1811159011306766336 |
|---|---|
| author | Jimmy Brian Mboya Kevin Odhiambo Obiero Maureen Jepkorir Cheserek Kevin Okoth Ouko Erick Ochieng Ogello Nicholas Otieno Outa Elizabeth Akinyi Nyauchi Domitila Ndinda Kyule Jonathan Mbonge Munguti |
| author_facet | Jimmy Brian Mboya Kevin Odhiambo Obiero Maureen Jepkorir Cheserek Kevin Okoth Ouko Erick Ochieng Ogello Nicholas Otieno Outa Elizabeth Akinyi Nyauchi Domitila Ndinda Kyule Jonathan Mbonge Munguti |
| author_sort | Jimmy Brian Mboya |
| collection | DOAJ |
| description | Improved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was to determine the socio-demographic and psychological factors that influence intention of Kenyan farmed fish traders to use IFPT. The technology acceptance model (TAM) was used to properly explain the impact of TAM constructs such as perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT), as well as socio-demographic factors such as gender, age, education level and fish trading experience on traders’ intention to use the technologies. A cross-sectional survey was conducted to collect data using a semi-structured questionnaire from 146 traders in Busia, Siaya and Kakamega counties. At a significance level of p = 0.05, a linear regression model was used to examine the socio-demographic and psychological determinants of the traders’ behavioral intention to use the improved technologies. The regression analysis revealed that PU (β = 0.443; p = 0.000), PEOU (β = 0.364; p = 0.000) and ATT (β = 0.615; p = 0.000) influence traders’ intention to use IFPT, with ATT having the highest influence on intention. However, the traders’ socio-demographic characteristics have no effect on their intention to use the technologies, as the coefficients for gender (β = 0.148; p = 0.096), age (β = 0.016; p = 0.882), level of education (β = −0.135; p = 0.141) and fish trading experience (β = 0.017; p = 0.869) are all insignificant. These findings show that the traders intend to use IFPT and will use them when it is in their best economic interests. |
| first_indexed | 2024-04-10T05:33:56Z |
| format | Article |
| id | doaj.art-dc5da65978e348f09dea2bbb0c405ebf |
| institution | Directory Open Access Journal |
| issn | 2234-1757 |
| language | English |
| last_indexed | 2024-04-10T05:33:56Z |
| publishDate | 2023-02-01 |
| publisher | The Korean Society of Fisheries and Aquatic Science |
| record_format | Article |
| series | Fisheries and Aquatic Sciences |
| spelling | doaj.art-dc5da65978e348f09dea2bbb0c405ebf2023-03-07T01:53:35ZengThe Korean Society of Fisheries and Aquatic ScienceFisheries and Aquatic Sciences2234-17572023-02-0126210511610.47853/FAS.2023.e9Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance modelJimmy Brian Mboya0Kevin Odhiambo Obiero1Maureen Jepkorir Cheserek2Kevin Okoth Ouko3Erick Ochieng Ogello4Nicholas Otieno Outa5Elizabeth Akinyi Nyauchi6Domitila Ndinda Kyule7Jonathan Mbonge Munguti8Kenya Marine and Fisheries Research Institute (KMFRI), Sangoro Aquaculture Research Center, Pap Onditi 136-40111, KenyaKenya Marine and Fisheries Research Institute (KMFRI), Sangoro Aquaculture Research Center, Pap Onditi 136-40111, KenyaDepartment of Human Nutrition, Faculty of Health Sciences, Egerton University, Nakuru 536-20115, KenyaDepartment of Agricultural Economics and Agribusiness Management, Jaramogi Oginga Odinga University of Science and Technology, Bondo 210-40601, KenyaDepartment of Animal and Fisheries Sciences, Maseno University, Private Bag, Maseno, KenyaDepartment of Animal and Fisheries Sciences, Maseno University, Private Bag, Maseno, KenyaKenya Marine and Fisheries Research Institute (KMFRI), Sangoro Aquaculture Research Center, Pap Onditi 136-40111, KenyaKenya Marine and Fisheries Research Institute (KMFRI), National Aquaculture Research Development and Training Center (NARDTC), Sagana 451-10230, KenyaKenya Marine and Fisheries Research Institute (KMFRI), National Aquaculture Research Development and Training Center (NARDTC), Sagana 451-10230, KenyaImproved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was to determine the socio-demographic and psychological factors that influence intention of Kenyan farmed fish traders to use IFPT. The technology acceptance model (TAM) was used to properly explain the impact of TAM constructs such as perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT), as well as socio-demographic factors such as gender, age, education level and fish trading experience on traders’ intention to use the technologies. A cross-sectional survey was conducted to collect data using a semi-structured questionnaire from 146 traders in Busia, Siaya and Kakamega counties. At a significance level of p = 0.05, a linear regression model was used to examine the socio-demographic and psychological determinants of the traders’ behavioral intention to use the improved technologies. The regression analysis revealed that PU (β = 0.443; p = 0.000), PEOU (β = 0.364; p = 0.000) and ATT (β = 0.615; p = 0.000) influence traders’ intention to use IFPT, with ATT having the highest influence on intention. However, the traders’ socio-demographic characteristics have no effect on their intention to use the technologies, as the coefficients for gender (β = 0.148; p = 0.096), age (β = 0.016; p = 0.882), level of education (β = −0.135; p = 0.141) and fish trading experience (β = 0.017; p = 0.869) are all insignificant. These findings show that the traders intend to use IFPT and will use them when it is in their best economic interests. http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2023.e9Behavioral intentionFarmed fishImproved fish post-harvest technologiesKenyaTechnology acceptance model |
| spellingShingle | Jimmy Brian Mboya Kevin Odhiambo Obiero Maureen Jepkorir Cheserek Kevin Okoth Ouko Erick Ochieng Ogello Nicholas Otieno Outa Elizabeth Akinyi Nyauchi Domitila Ndinda Kyule Jonathan Mbonge Munguti Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model Fisheries and Aquatic Sciences Behavioral intention Farmed fish Improved fish post-harvest technologies Kenya Technology acceptance model |
| title | Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model |
| title_full | Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model |
| title_fullStr | Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model |
| title_full_unstemmed | Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model |
| title_short | Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model |
| title_sort | factors influencing farmed fish traders intention to use improved fish post harvest technologies in kenya application of technology acceptance model |
| topic | Behavioral intention Farmed fish Improved fish post-harvest technologies Kenya Technology acceptance model |
| url | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2023.e9 |
| work_keys_str_mv | AT jimmybrianmboya factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT kevinodhiamboobiero factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT maureenjepkorircheserek factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT kevinokothouko factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT erickochiengogello factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT nicholasotienoouta factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT elizabethakinyinyauchi factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT domitilandindakyule factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel AT jonathanmbongemunguti factorsinfluencingfarmedfishtradersintentiontouseimprovedfishpostharvesttechnologiesinkenyaapplicationoftechnologyacceptancemodel |