Using technology acceptance model to understand fish farmers’ intention to use black soldier fly larvae meal in Nile tilapia production in Kenya

Ouko, Kevin Okoth; Mukhebi, A.W.; Obiero, Kevin; Opondo, Florence Achieng

doi:10.1080/26895293.2022.2112765

Cited by 3 publications

(7 citation statements)

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“…Therefore, traders perceive these technologies as useful if they believe that using them is easy. These findings support previous research that found that a technology's perceived ease of use influences its perceived usefulness (Ouko et al, 2022). Both perceived ease of use and perceived usefulness of IFPT have a significant influence on the ATT toward using them, implying that fish traders would have a positive ATT toward using the technologies if they believe they are useful and are easy to use.…”

Section: Discussionsupporting

confidence: 88%

“…This implies that if a fish trader perceives IFPT to be easy to use and useful, they will be inclined to employ these technologies. The model also suggests that PU and PEOU have an indirect influence on INT via ATT, which is described as a mediator in TAM (Ouko et al, 2022). Previous research has found that PU and PEOU have an indirect effect on INT (Bagheri et al, 2021;Davis et al, 1989;Ouko et al, 2022).…”

Section: Research Model and Hypothesesmentioning

confidence: 74%

“…The model also suggests that PU and PEOU have an indirect influence on INT via ATT, which is described as a mediator in TAM (Ouko et al, 2022). Previous research has found that PU and PEOU have an indirect effect on INT (Bagheri et al, 2021;Davis et al, 1989;Ouko et al, 2022). Based on this, the following hypotheses were formulated: H 2 : Perceived ease of using IFPT will have a positive and significant influence on the ATT toward their use.…”

Section: Research Model and Hypothesesmentioning

confidence: 97%

“…Previous research has shown that in TAM, PU and PEOU determine one's ATT towards the use of a technology (Ouko et al, 2022;Verma et al, 2018;). According to Fishbein & Ajzen (1975), ATT is defined as one's positive or negative feelings toward a particular behavior.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

“…Ulhaq et al (2022) investigated the factors influencing shrimp farmers' intention to use ICT using the combined TAM and theory of planned behavior model (Taylor & Todd, 1995). Ouko et al (2022) also used TAM to investigate fish farmers' intention to use black soldier fly larvae meal in Nile tilapia production.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

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Factors influencing farmed fish traders’ intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model

Mboya¹,

Obiero²,

Cheserek³

et al. 2023

Fish Aquat Sci

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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.

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Section: Discussionsupporting

confidence: 88%