Farmers’ adoption intentions of water-saving agriculture under the risks of frequent irrigation-induced landslides

Climate Risk Management, Journal Year: 2023, Volume and Issue: 39, P. 100484 - 100484

Published: Jan. 1, 2023

Water-saving agriculture (WSA) is often introduced as an effective strategy to reduce water infiltration and mitigate irrigation-induced landslide risks. The effects highly rely on smallholder farmers, who would rather suffer from landslides than adapt. This study focused farmers’ adoption intention of WSA in general drip irrigation drought-tolerant crop specific, representing changes technology farming systems. An integrative theoretical model was developed based the extended theory planned behavior (TPB) with elements norm activation acceptance model. Hypotheses were tested using data a questionnaire survey 363 farmers Loess Plateau, Northwest China. results structural equation modeling showed that most crucial factor bolstering subjective norm, regardless different measures. Attitude more influential perceived control vice versa adoption, indicating attitude important change capacity played role system shift. In addition, awareness environmental consequences contributed positively attitude, ease-of-use improved control. Most notably, TPB has explanatory power classical one. By considering moral technical aspects, enhanced comprehensiveness explaining drivers under findings shed light future disaster risk management for China other countries risk.

Language: Английский

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Empowering Digital Marketing with Interactive Virtual Reality (IVR) in Interior Design: Effects on Customer Satisfaction and Behaviour Intention

Journal of theoretical and applied electronic commerce research, Journal Year: 2023, Volume and Issue: 18(2), P. 889 - 907

Published: April 25, 2023

Interior design industries have evolved to adopt advanced digital and interactive virtual reality (IVR) technologies for promotion. Marketing using a platform with interior feature is an approach that enables not only the building up of positive image firm but also allows customers experience home intuitively on platform. This study researched relationship between three factors aesthetics, ease use, information quality in marketing consumer satisfaction. Data from 120 respondents were collected via internet. The results generated structural equation modelling indicated above positively influence customer satisfaction empowered IVR design. It was found has most among factors. Despite numerous scholars having conducted in-depth research marketing, existing lacks perspective examining what significant impact consumers. Moreover, relatively little work been determine customer’s perceptions towards its features. A theoretical model features thus proposed.

Language: Английский

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Exploring the Key Factors Influencing College Students’ Willingness to Use AI Coding Assistant Tools: An Expanded Technology Acceptance Model

Systems, Journal Year: 2024, Volume and Issue: 12(5), P. 176 - 176

Published: May 15, 2024

The application of artificial intelligence (AI) in programming assistance has garnered researchers’ attention for its potential to reduce learning costs users, increase work efficiency, and decrease repetitive coding tasks. However, given the novelty AI Coding Assistant Tools (AICATs), user acceptance is currently limited, factors influencing this phenomenon are unclear. This study proposes an expanded model based on Technology Acceptance Model (TAM) that incorporates characteristics AICAT users explore key affecting college students’ willingness use AICATs. Utilizing a survey methodology, 303 Chinese participants completed questionnaire. Factor analysis Structural Equation Modeling (SEM) results indicate users’ dependence worry (DW) about AICATs positively affects perceived risk (PR), which turn negatively impacts usefulness (PU) ease (PEOU), thus reducing use. Dependence concerns also impact trust (PT), while PT PU PEOU, thereby enhancing Additionally, user’s self-efficacy (SE) DW PEOU. discusses significance these findings offers suggestions developers foster promote widespread

Language: Английский

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Factors affecting the use of climate information services for agriculture: Evidence from Iran

Climate Services, Journal Year: 2024, Volume and Issue: 33, P. 100438 - 100438

Published: Jan. 1, 2024

The use of Climate Information Services (CIS) is considered the most important solution for long-term adaptation agricultural sector in dealing with challenges caused by climate change. While there are examples successful CIS programs developed countries, barriers to successfully using farmers developing countries. In this regard, research was carried out two general objectives: (i) identifying factors affecting farmers, and (ii) providing practical policies applying information Iran. A comprehensive Technology Acceptance Model (TAM) theory used as theoretical framework research, self-efficacy (SE), social norm (SN), perceived trust (PT) were added variables. This conducted structural equation modeling (SEM), a designed questionnaire data-gathering instrument. statistical population includes all Dezful city Khuzestan province (southwest Iran). findings showed that initial TAM explains 0.537 % variance farmers' behavioral intention CIS. three primary constructs included Attitude, Perceived Usefulness (PU), Ease Use (PEOU), which had positive effects on willingness. Most importantly, including SE, SN, PT variables, can increase model's ability predict intentions 13.5 %.

Language: Английский

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TAM-Based Study of Farmers’ Live Streaming E-Commerce Adoption Intentions

Agriculture, Journal Year: 2024, Volume and Issue: 14(4), P. 518 - 518

Published: March 24, 2024

Amidst the digital economy surge, live streaming e-commerce of agricultural products has significantly boosted prosperity. Investigating farmers’ behavioral intentions toward adopting holds critical importance for fostering healthy and swift growth. Utilizing Technology Acceptance Model (TAM) as a foundation, this study incorporates three additional variables—government support, platform social learning—to devise theoretical model. It takes agriculture-related an example, with 424 Chinese farmers sample, to quantitatively assess factors that impact adopt behaviors. The findings indicate that, firstly, TAM is applicable assessment e-commerce. Secondly, government support positively impacts perceived usefulness, learning enhances ease use, both use usefulness. Lastly, technology acceptance extension model applicability varies among farmer groups: influence on more significant traditional farmers, higher in education levels, effect usefulness stronger experienced Therefore, differentiated promotion strategies by are necessary, platforms should leverage their offer efficient services encourage education. A multi-party collaboration involving government, platforms, essential collectively foster development rural

Language: Английский

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