Research graph
References from From tradition to smart agriculture: how value and technology readiness shape farmers’ adoption decisions. Local targets link to admitted publications; unresolved targets remain external evidence.
Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: an integrated exhibiting tactics to adopt green fertilizer
10.1016/j.landusepol.2019.104255 · 2020 · External reference
Agricultural information systems acceptance and continuance in rural communities: a consumption values perspective
10.1016/j.techsoc.2022.101934 · 2022 · External reference
Exploration of the challenges in adopting smart farming among smallholder farmers: a qualitative study
2024 · External reference
Development of a digital twin for smart farming: irrigation management system for water saving
10.1016/j.jclepro.2023.135920 · 2023 · External reference
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study
10.1007/s11119-022-09889-0 · 2022 · External reference
Adoption and perception of farm management information systems by future Swiss farm managers-an online study
10.1016/j.jrurstud.2021.12.008 · 2022 · External reference
Precision farming technologies on crop protection: a stakeholders survey
10.1016/j.atech.2023.100293 · 2023 · External reference
The use of drone for rice cultivation in Malaysia: identification of factors influencing its farmers’ acceptance
10.1016/j.jssas.2023.04.005 · 2023 · External reference
Harvesting a sustainable future: an overview of smart agriculture’s role in social, economic, and environmental sustainability
10.1016/j.jclepro.2023.140338 · 2024 · External reference
PLS-SEM’s most wanted guidance
10.1108/ijchm-04-2022-0474 · 2023 · External reference
Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage
10.1007/s11747-019-00680-8 · 2020 · External reference
Back-Translation for cross-cultural research
10.1177/135910457000100301 · 1970 · External reference
Drivers of farmers’ intention to adopt technological innovations in Italy: the role of information sources, perceived usefulness, and perceived ease of use
10.1016/j.jrurstud.2020.04.028 · 2020 · External reference
Healthcare apps’ purchase intention: a consumption values perspective
10.1016/j.technovation.2022.102481 · 2023 · External reference
Metaverse technologies in hospitality: using the theory of consumption values to reveal consumer attitudes and trust factors
10.1108/ijchm-09-2023-1500 · 2024 · External reference
Unresolved reference
External reference
The partial least squares approach to structural equation modeling
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10.1007/978-1-4614-8283-3_16
10.1007/978-1-4614-8283-3_16 · 2013 · External reference
Unresolved reference
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An overview of agriculture 4.0 development: systematic review of descriptions, technologies, barriers, advantages, and disadvantages
10.1016/j.compag.2021.106405 · 2021 · External reference
Farmers’ perception of barriers that difficult the implementation of Agriculture 4.0
10.1016/j.agsy.2023.103656 · 2023 · External reference
Unpacking smart farming innovation: a systematic literature review on technological change in agriculture
10.1016/j.jengtecman.2025.101898 · 2025 · External reference
Transfer of smart agriculture technology from MARDI to young agropreneurs in Malaysia: the case of high-value vegetable production by agrocube
2022 · External reference
Factors affecting behavioral intentions of farmers in Southeast Asia to technology adoption: a systematic review analysis
10.1016/j.jenvman.2024.122045 · 2024 · External reference
User acceptance of computer technology: a comparison of two theoretical models
10.1287/mnsc.35.8.982 · 1989 · External reference
Main drivers and barriers to the adoption of digital agriculture technologies
10.1016/j.atech.2024.100459 · 2024 · External reference
Antecedents of smart farming adoption to mitigate the digital divide – extended innovation diffusion model
10.1016/j.techsoc.2023.102348 · 2023 · External reference
Unresolved reference
2022 · External reference
A reflection on survey research in hospitality
10.1108/ijchm-06-2017-0386 · 2018 · External reference
Rice and paddy industry in Malaysia: governance and policies, research trends, technology adoption and resilience
10.3389/fsufs.2023.1093605 · 2023 · External reference
Unresolved reference
2022 · External reference
Attitude components affecting adoption of soil and water conservation measures by paddy farmers in Rasht County, Northern Iran
10.1016/j.landusepol.2020.104885 · 2020 · External reference
Influence of a new agricultural technology extension mode on farmers’ technology adoption behavior in China
10.1016/j.jrurstud.2020.04.016 · 2020 · External reference
A value-based approach to the adoption of cryptocurrencies
10.1016/j.jik.2023.100342 · 2023 · External reference
Farmers’ transition to Climate-Smart agriculture: a systematic review of the Decision-Making factors affecting adoption
10.3390/su16072828 · 2024 · External reference
Digital and smart technologies to enhance biodiversity in agricultural landscapes: an analysis of stakeholders’ perceptions of opportunities and challenges for broader adoption
10.1016/j.indic.2024.100444 · 2024 · External reference
A new reality: fan perceptions of augmented reality readiness in sport marketing
10.1016/j.chb.2019.106231 · 2020 · External reference
Technology adoption at individual level: toward an integrated overview
10.1007/s10209-023-00974-3 · 2024 · External reference
Development and validation of attitudes measurement scales: fundamental and practical aspects
10.1108/rausp-05-2019-0098 · 2019 · External reference
Unresolved reference
2022 · External reference
Smart farming for sustainable rice production: an insight into application, challenge, and future prospect
10.1016/j.rsci.2023.08.004 · 2024 · External reference
A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling
10.1080/10705510903439003 · 2010 · External reference
10.1007/978-3-540-32827-8_31
10.1007/978-3-540-32827-8_31 · 2010 · External reference
Determinants of physicians’ intention to use AI-assisted diagnosis: an integrated readiness perspective
10.1016/j.chb.2023.107868 · 2023 · External reference
What are the priority research questions for digital agriculture?
10.1016/j.landusepol.2021.105962 · 2022 · External reference
Agriculture 4.0 adoption challenges in the emerging economies: implications for smart farming and sustainability
10.1016/j.ject.2024.09.002 · 2024 · External reference
Consumer adoption intention for electric vehicles: insights and evidence from Indian sustainable transportation
10.1016/j.techfore.2021.121089 · 2021 · External reference
Exploring the level of digital literacy and the adoption of precision farming technologies among smallholder paddy farmers in Kedah
10.52783/jisem.v10i40s.7524 · 2025 · External reference
IoT adoption in agriculture: the role of trust, perceived value and risk
10.1108/jbim-01-2018-0023 · 2018 · External reference
Food security, the agriculture value chain, and digital transformation: the case of Jamaica’s agricultural business information system (ABIS)
10.1016/j.techsoc.2024.102523 · 2024 · External reference
Moderator variables: introduction
2018 · External reference
Co-designing a smartphone app for and with farmers: empathising with end-users’ values and needs
10.1016/j.jrurstud.2020.12.009 · 2021 · External reference
Unresolved reference
2019 · External reference
Value-based adoption of mobile internet: an empirical investigation
10.1016/j.dss.2005.05.009 · 2007 · External reference
Consumer acceptance of sports wearable technology: the role of technology readiness
10.1108/ijsms-06-2017-0050 · 2019 · External reference
Lateral collinearity and misleading results in Variance-Based SEM: an illustration and recommendations
10.17705/1jais.00302 · 2012 · External reference
Drivers and barriers to precision agriculture technology and digitalisation adoption: meta-analysis of decision choice models
10.1007/s11119-024-10213-1 · 2025 · External reference
A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems
10.1016/j.compag.2020.105305 · 2020 · External reference
Technology acceptance, adoption and workforce on Australian cotton farms
10.3390/agriculture12081180 · 2022 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2021 · External reference
Value-based adoption model: a systematic literature review from 2007 to 2021
10.1504/ijbis.2021.10042427 · 2021 · External reference
Cross-sectional research: a critical perspective, use cases, and recommendations for is research
10.1016/j.ijinfomgt.2023.102625 · 2023 · External reference
Sustainable AI-based production agriculture: exploring AI applications and implications in agricultural practices
10.1016/j.atech.2024.100416 · 2024 · External reference
Measures of multivariate skewness and kurtosis with applications
10.1093/biomet/57.3.519 · 1970 · External reference
Control variables: a review and proposed guidelines
10.47263/jasem.8(2)01 · 2024 · External reference
Moderation analysis: issues and guidelines
10.47263/jasem.3(1)01 · 2019 · External reference
Sample size for survey research: review and recommendations
10.47263/jasem.4(2)01 · 2020 · External reference
Addressing common method bias, operationalization, sampling, and data collection issues in quantitative research: Review and recommendations
10.47263/jasem.7(2)01 · 2023 · External reference
A trans-theoretical model for the adoption of drones by large-scale German farmers
10.1016/j.jrurstud.2020.01.005 · 2020 · External reference
Determinants of readiness to smart farming adoption among crop fertigation growers in Perak and Selangor
2024 · External reference
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior
10.1007/s11119-021-09814-x · 2021 · External reference
Agricultural technology adoption as a journey: proposing the technology adoption journey map
10.14716/ijtech.v13i5.5863 · 2022 · External reference
Unveiling the truth: are farmers ready for smart agriculture? Insights from a hybrid PLS-SEM-ANN approach
10.1108/jm2-03-2025-0094 · 2025 · External reference
Adoption of smart farming technologies in field operations: a systematic review and future research agenda
10.1016/j.techsoc.2023.102400 · 2023 · External reference
Technology readiness index (tri) a multiple-item scale to measure readiness to embrace new technologies
10.1177/109467050024001 · 2000 · External reference
An updated and streamlined technology eadiness index (TRI 2.0): simplifying the measurement of technology readiness to improve its predictive power
10.1177/1094670514539730 · 2015 · External reference
Comprehensive approaches to user acceptance of internet of things in a smart home environment
10.1109/jiot.2017.2750765 · 2017 · External reference
Guidance on farmer participation in the design, testing and scaling of agricultural innovations
10.1016/j.agsy.2024.104006 · 2024 · External reference
Drivers and barriers to climate-smart agricultural practices and technologies adoption: insights from stakeholders of five European food supply chains
10.1016/j.atech.2024.100478 · 2024 · External reference
Farmers and their data: evaluating the Swiss conception of data sharing through the lens of digital farming
10.1016/j.jrurstud.2024.103390 · 2024 · External reference
Unresolved reference
2003 · External reference
Smart farming: challenges and adoption factors among paddy farmers in IADA Barat Laut, Selangor
10.22610/imbr.v16i4(s)i.4288 · 2024 · External reference
Rural development in the digital age: a systematic literature review on unequal ICT availability, adoption, and use in rural areas
10.1016/j.jrurstud.2015.09.001 · 2017 · External reference
The concept of perceived value: a systematic review of the research
10.1177/1470593107083165 · 2007 · External reference
Are Indonesian rice farmers ready to adopt precision agricultural technologies?
10.1007/s11119-024-10156-7 · 2024 · External reference
How to specify, estimate, and validate Higher-Order constructs in PLS-SEM
10.1016/j.ausmj.2019.05.003 · 2019 · External reference
Unresolved reference
2019 · External reference
Towards an understanding of the behavioral intentions and actual use of smart products among German farmers
10.3390/su13126666 · 2021 · External reference
Sharing app for farm mechanization: gold farm’s digitized access based solution for financially constrained farmers
10.1016/j.compind.2019.04.017 · 2019 · External reference
The usage of internet of things in agriculture: the role of size and perceived value
10.31449/inf.v46i7.4275 · 2022 · External reference
The adoption of laser land leveler technology and its impact on groundwater use by irrigated farmland in Punjab, Pakistan
10.1002/ldr.4290 · 2022 · External reference
Why We buy what we buy – a theory of consumption values
10.1016/0148-2963(91)90050-8 · 1991 · External reference
Technology acceptance theories and factors influencing artificial intelligence-based intelligent products
10.1016/j.tele.2019.101324 · 2020 · External reference
A longitudinal study of herd behavior in the adoption and continued use of technology
10.25300/misq/2013/37.4.02 · 2013 · External reference
Toward a model of mindfulness in technology acceptance
2010 · External reference
Wireless sensor network for small-scale farming systems in southwest Iran: application of Q-methodology to investigate farmers’ perceptions
10.1016/j.compag.2020.105682 · 2020 · External reference
Theory of consumption values in consumer behaviour research: a review and future research agenda
10.1111/ijcs.12687 · 2021 · External reference
From conventional to smart: farmers’ preferences under alternative policy scenarios
10.30682/nm2401a · 2024 · External reference
The Malaysian economy in figures
2023 · External reference
Understanding technology acceptance in smart agriculture: a systematic review of empirical research in crop production
10.1016/j.techfore.2023.122374 · 2023 · External reference
European stakeholders’ perspectives on implementation potential of precision weed control: the case of autonomous vehicles with laser treatment
2023 · External reference
Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective
10.1016/j.jretconser.2021.102514 · 2021 · External reference
User acceptance of wireless short messaging services: deconstructing perceived value
10.1016/j.im.2006.10.005 · 2007 · External reference
User acceptance of hedonic digital artifacts: a theory of consumption values perspective
10.1016/j.im.2009.10.002 · 2010 · External reference
Unresolved reference
2023 · External reference
The leading role of perception: the FACOPA model to comprehend innovation adoption
10.1186/s40100-022-00211-0 · 2022 · External reference
Revisiting how perceived uncertainty and herd behavior influence technology choice
10.4018/joeuc.20211101.oa1 · 2021 · External reference
Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology
10.2307/41410412 · 2012 · External reference
What drives users’ intentions to purchase a GPS navigation app
10.1108/intr-11-2016-0348 · 2018 · External reference
Unresolved reference
External reference
Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance
10.1080/0144929x.2010.517272 · 2012 · External reference
Clinical trust, perceived value and behavioral intention of medical tourists: moderating effect of optimism and pessimism
10.54055/ejtr.v30i.2036 · 2021 · External reference
Understanding customer-specific factors underpinning internet banking adoption
10.1108/02652321211195703 · 2012 · External reference
Adoption of smart farming technology among rice farmers
10.37934/araset.29.2.268275 · 2023 · External reference
Consumer perceptions of price, quality, and value – a Means-End model and synthesis of evidence
10.1177/002224298805200302 · 1988 · External reference
Three decades of customer value research: paradigmatic roots and future research avenues
10.1177/1094670520948134 · 2020 · External reference
The adoption of laser land leveler technology and its impact on groundwater use by irrigated farmland in Punjab, Pakistan
10.1002/ldr.4290 · ExternalCitation · doi-reference
10.1007/978-1-4614-8283-3_16
10.1007/978-1-4614-8283-3_16 · ExternalCitation · doi-reference
10.1007/978-3-540-32827-8_31
10.1007/978-3-540-32827-8_31 · ExternalCitation · doi-reference
Technology adoption at individual level: toward an integrated overview
10.1007/s10209-023-00974-3 · ExternalCitation · doi-reference
Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior
10.1007/s11119-021-09814-x · ExternalCitation · doi-reference
The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study
10.1007/s11119-022-09889-0 · ExternalCitation · doi-reference
Are Indonesian rice farmers ready to adopt precision agricultural technologies?
10.1007/s11119-024-10156-7 · ExternalCitation · doi-reference
Drivers and barriers to precision agriculture technology and digitalisation adoption: meta-analysis of decision choice models
10.1007/s11119-024-10213-1 · ExternalCitation · doi-reference
Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage
10.1007/s11747-019-00680-8 · ExternalCitation · doi-reference
Why We buy what we buy – a theory of consumption values
10.1016/0148-2963(91)90050-8 · ExternalCitation · doi-reference
Farmers’ perception of barriers that difficult the implementation of Agriculture 4.0
10.1016/j.agsy.2023.103656 · ExternalCitation · doi-reference
Guidance on farmer participation in the design, testing and scaling of agricultural innovations
10.1016/j.agsy.2024.104006 · ExternalCitation · doi-reference
Precision farming technologies on crop protection: a stakeholders survey
10.1016/j.atech.2023.100293 · ExternalCitation · doi-reference
Sustainable AI-based production agriculture: exploring AI applications and implications in agricultural practices
10.1016/j.atech.2024.100416 · ExternalCitation · doi-reference
Main drivers and barriers to the adoption of digital agriculture technologies
10.1016/j.atech.2024.100459 · ExternalCitation · doi-reference
Drivers and barriers to climate-smart agricultural practices and technologies adoption: insights from stakeholders of five European food supply chains
10.1016/j.atech.2024.100478 · ExternalCitation · doi-reference
How to specify, estimate, and validate Higher-Order constructs in PLS-SEM
10.1016/j.ausmj.2019.05.003 · ExternalCitation · doi-reference
A new reality: fan perceptions of augmented reality readiness in sport marketing
10.1016/j.chb.2019.106231 · ExternalCitation · doi-reference
Determinants of physicians’ intention to use AI-assisted diagnosis: an integrated readiness perspective
10.1016/j.chb.2023.107868 · ExternalCitation · doi-reference
A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems
10.1016/j.compag.2020.105305 · ExternalCitation · doi-reference
Wireless sensor network for small-scale farming systems in southwest Iran: application of Q-methodology to investigate farmers’ perceptions
10.1016/j.compag.2020.105682 · ExternalCitation · doi-reference
An overview of agriculture 4.0 development: systematic review of descriptions, technologies, barriers, advantages, and disadvantages
10.1016/j.compag.2021.106405 · ExternalCitation · doi-reference
Sharing app for farm mechanization: gold farm’s digitized access based solution for financially constrained farmers
10.1016/j.compind.2019.04.017 · ExternalCitation · doi-reference
Value-based adoption of mobile internet: an empirical investigation
10.1016/j.dss.2005.05.009 · ExternalCitation · doi-reference
Cross-sectional research: a critical perspective, use cases, and recommendations for is research
10.1016/j.ijinfomgt.2023.102625 · ExternalCitation · doi-reference
User acceptance of wireless short messaging services: deconstructing perceived value
10.1016/j.im.2006.10.005 · ExternalCitation · doi-reference
User acceptance of hedonic digital artifacts: a theory of consumption values perspective
10.1016/j.im.2009.10.002 · ExternalCitation · doi-reference
Digital and smart technologies to enhance biodiversity in agricultural landscapes: an analysis of stakeholders’ perceptions of opportunities and challenges for broader adoption
10.1016/j.indic.2024.100444 · ExternalCitation · doi-reference
Development of a digital twin for smart farming: irrigation management system for water saving
10.1016/j.jclepro.2023.135920 · ExternalCitation · doi-reference
Harvesting a sustainable future: an overview of smart agriculture’s role in social, economic, and environmental sustainability
10.1016/j.jclepro.2023.140338 · ExternalCitation · doi-reference
Agriculture 4.0 adoption challenges in the emerging economies: implications for smart farming and sustainability
10.1016/j.ject.2024.09.002 · ExternalCitation · doi-reference
Unpacking smart farming innovation: a systematic literature review on technological change in agriculture
10.1016/j.jengtecman.2025.101898 · ExternalCitation · doi-reference
Factors affecting behavioral intentions of farmers in Southeast Asia to technology adoption: a systematic review analysis
10.1016/j.jenvman.2024.122045 · ExternalCitation · doi-reference
A value-based approach to the adoption of cryptocurrencies
10.1016/j.jik.2023.100342 · ExternalCitation · doi-reference
Customers’ intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective
10.1016/j.jretconser.2021.102514 · ExternalCitation · doi-reference
Rural development in the digital age: a systematic literature review on unequal ICT availability, adoption, and use in rural areas
10.1016/j.jrurstud.2015.09.001 · ExternalCitation · doi-reference
A trans-theoretical model for the adoption of drones by large-scale German farmers
10.1016/j.jrurstud.2020.01.005 · ExternalCitation · doi-reference
Influence of a new agricultural technology extension mode on farmers’ technology adoption behavior in China
10.1016/j.jrurstud.2020.04.016 · ExternalCitation · doi-reference
Drivers of farmers’ intention to adopt technological innovations in Italy: the role of information sources, perceived usefulness, and perceived ease of use
10.1016/j.jrurstud.2020.04.028 · ExternalCitation · doi-reference
Co-designing a smartphone app for and with farmers: empathising with end-users’ values and needs
10.1016/j.jrurstud.2020.12.009 · ExternalCitation · doi-reference
Adoption and perception of farm management information systems by future Swiss farm managers-an online study
10.1016/j.jrurstud.2021.12.008 · ExternalCitation · doi-reference
Farmers and their data: evaluating the Swiss conception of data sharing through the lens of digital farming
10.1016/j.jrurstud.2024.103390 · ExternalCitation · doi-reference
The use of drone for rice cultivation in Malaysia: identification of factors influencing its farmers’ acceptance
10.1016/j.jssas.2023.04.005 · ExternalCitation · doi-reference
Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: an integrated exhibiting tactics to adopt green fertilizer
10.1016/j.landusepol.2019.104255 · ExternalCitation · doi-reference
Attitude components affecting adoption of soil and water conservation measures by paddy farmers in Rasht County, Northern Iran
10.1016/j.landusepol.2020.104885 · ExternalCitation · doi-reference
What are the priority research questions for digital agriculture?
10.1016/j.landusepol.2021.105962 · ExternalCitation · doi-reference
Smart farming for sustainable rice production: an insight into application, challenge, and future prospect
10.1016/j.rsci.2023.08.004 · ExternalCitation · doi-reference
Consumer adoption intention for electric vehicles: insights and evidence from Indian sustainable transportation
10.1016/j.techfore.2021.121089 · ExternalCitation · doi-reference
Understanding technology acceptance in smart agriculture: a systematic review of empirical research in crop production
10.1016/j.techfore.2023.122374 · ExternalCitation · doi-reference
Healthcare apps’ purchase intention: a consumption values perspective
10.1016/j.technovation.2022.102481 · ExternalCitation · doi-reference
Agricultural information systems acceptance and continuance in rural communities: a consumption values perspective
10.1016/j.techsoc.2022.101934 · ExternalCitation · doi-reference
Antecedents of smart farming adoption to mitigate the digital divide – extended innovation diffusion model
10.1016/j.techsoc.2023.102348 · ExternalCitation · doi-reference
Adoption of smart farming technologies in field operations: a systematic review and future research agenda
10.1016/j.techsoc.2023.102400 · ExternalCitation · doi-reference
Food security, the agriculture value chain, and digital transformation: the case of Jamaica’s agricultural business information system (ABIS)
10.1016/j.techsoc.2024.102523 · ExternalCitation · doi-reference
Technology acceptance theories and factors influencing artificial intelligence-based intelligent products
10.1016/j.tele.2019.101324 · ExternalCitation · doi-reference
Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance
10.1080/0144929x.2010.517272 · ExternalCitation · doi-reference
A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling
10.1080/10705510903439003 · ExternalCitation · doi-reference
Measures of multivariate skewness and kurtosis with applications
10.1093/biomet/57.3.519 · ExternalCitation · doi-reference
Understanding customer-specific factors underpinning internet banking adoption
10.1108/02652321211195703 · ExternalCitation · doi-reference
PLS-SEM’s most wanted guidance
10.1108/ijchm-04-2022-0474 · ExternalCitation · doi-reference
A reflection on survey research in hospitality
10.1108/ijchm-06-2017-0386 · ExternalCitation · doi-reference
Metaverse technologies in hospitality: using the theory of consumption values to reveal consumer attitudes and trust factors
10.1108/ijchm-09-2023-1500 · ExternalCitation · doi-reference
Consumer acceptance of sports wearable technology: the role of technology readiness
10.1108/ijsms-06-2017-0050 · ExternalCitation · doi-reference
What drives users’ intentions to purchase a GPS navigation app
10.1108/intr-11-2016-0348 · ExternalCitation · doi-reference
IoT adoption in agriculture: the role of trust, perceived value and risk
10.1108/jbim-01-2018-0023 · ExternalCitation · doi-reference
Unveiling the truth: are farmers ready for smart agriculture? Insights from a hybrid PLS-SEM-ANN approach
10.1108/jm2-03-2025-0094 · ExternalCitation · doi-reference
Development and validation of attitudes measurement scales: fundamental and practical aspects
10.1108/rausp-05-2019-0098 · ExternalCitation · doi-reference
Comprehensive approaches to user acceptance of internet of things in a smart home environment
10.1109/jiot.2017.2750765 · ExternalCitation · doi-reference
Theory of consumption values in consumer behaviour research: a review and future research agenda
10.1111/ijcs.12687 · ExternalCitation · doi-reference
Consumer perceptions of price, quality, and value – a Means-End model and synthesis of evidence
10.1177/002224298805200302 · ExternalCitation · doi-reference
Technology readiness index (tri) a multiple-item scale to measure readiness to embrace new technologies
10.1177/109467050024001 · ExternalCitation · doi-reference
An updated and streamlined technology eadiness index (TRI 2.0): simplifying the measurement of technology readiness to improve its predictive power
10.1177/1094670514539730 · ExternalCitation · doi-reference
Three decades of customer value research: paradigmatic roots and future research avenues
10.1177/1094670520948134 · ExternalCitation · doi-reference
Back-Translation for cross-cultural research
10.1177/135910457000100301 · ExternalCitation · doi-reference
The concept of perceived value: a systematic review of the research
10.1177/1470593107083165 · ExternalCitation · doi-reference
The leading role of perception: the FACOPA model to comprehend innovation adoption
10.1186/s40100-022-00211-0 · ExternalCitation · doi-reference
User acceptance of computer technology: a comparison of two theoretical models
10.1287/mnsc.35.8.982 · ExternalCitation · doi-reference
Agricultural technology adoption as a journey: proposing the technology adoption journey map
10.14716/ijtech.v13i5.5863 · ExternalCitation · doi-reference
Value-based adoption model: a systematic literature review from 2007 to 2021
10.1504/ijbis.2021.10042427 · ExternalCitation · doi-reference
Lateral collinearity and misleading results in Variance-Based SEM: an illustration and recommendations
10.17705/1jais.00302 · ExternalCitation · doi-reference
Smart farming: challenges and adoption factors among paddy farmers in IADA Barat Laut, Selangor
10.22610/imbr.v16i4(s)i.4288 · ExternalCitation · doi-reference
Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology
10.2307/41410412 · ExternalCitation · doi-reference
A longitudinal study of herd behavior in the adoption and continued use of technology
10.25300/misq/2013/37.4.02 · ExternalCitation · doi-reference
From conventional to smart: farmers’ preferences under alternative policy scenarios
10.30682/nm2401a · ExternalCitation · doi-reference
The usage of internet of things in agriculture: the role of size and perceived value
10.31449/inf.v46i7.4275 · ExternalCitation · doi-reference
Rice and paddy industry in Malaysia: governance and policies, research trends, technology adoption and resilience
10.3389/fsufs.2023.1093605 · ExternalCitation · doi-reference
Technology acceptance, adoption and workforce on Australian cotton farms
10.3390/agriculture12081180 · ExternalCitation · doi-reference
Towards an understanding of the behavioral intentions and actual use of smart products among German farmers
10.3390/su13126666 · ExternalCitation · doi-reference
Farmers’ transition to Climate-Smart agriculture: a systematic review of the Decision-Making factors affecting adoption
10.3390/su16072828 · ExternalCitation · doi-reference
Adoption of smart farming technology among rice farmers
10.37934/araset.29.2.268275 · ExternalCitation · doi-reference
Revisiting how perceived uncertainty and herd behavior influence technology choice
10.4018/joeuc.20211101.oa1 · ExternalCitation · doi-reference
Moderation analysis: issues and guidelines
10.47263/jasem.3(1)01 · ExternalCitation · doi-reference
Sample size for survey research: review and recommendations
10.47263/jasem.4(2)01 · ExternalCitation · doi-reference
Addressing common method bias, operationalization, sampling, and data collection issues in quantitative research: Review and recommendations
10.47263/jasem.7(2)01 · ExternalCitation · doi-reference
Control variables: a review and proposed guidelines
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