Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service

Verma, Pranay; Sinha, Neena

doi:10.1016/j.techfore.2017.08.013

Cited by 154 publications

(103 citation statements)

References 75 publications

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“…The empirical results illustrate that perceived usefulness influences attitude toward self-checkout systems and also attitude positively influences intention to use. These findings are consistent with past researches using the TAM model (Chen, Gillenson, & Sherrell, 2002;Liébana-Cabanillas, Sánchez-Fernández, & Muñoz-Leiva, 2014;Verma, & Sinha, 2018). In other respect, the effect of perceived ease of use on attitude is insignificant.…”

Section: Discussionsupporting

confidence: 92%

“…Two beliefs perceived usefulness and perceived ease of use about the new technology influence attitude toward this technology (Davis, Bagozzi, & Warshaw, 1989). Attitude is evaluation and opinion on whether a behavior is good or bad (Verma, & Sinha, 2018). Therefore, the attitude determines the intention to do or not to do the behavior in question.…”

Section: Technology Acceptance Modelmentioning

confidence: 99%

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Exploring the determinants of intention to use self-checkout systems in super market chain and its application

Cebeci¹,

Ertug²,

Türkcan³

2020

10.5267/j.msl

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Technology and innovativeness have played an important role in service industries because of the competitive state, especially in developing countries. While using innovative technologies such as self-checkouts in stores is seen as advantageous in many aspects for retailers, if customers cannot adopt it, the usage of in stores becomes disadvantageous. However, the literature offers limited knowledge about the customers' adoption of self-checkouts in spite of its value for the survival of firms. Therefore, understanding what factors affect individuals' intention to use self-checkout systems has been a need for both practitioners and researchers. This study aims to spot out the determinants of intention to use self-checkout systems in a supermarket chain. In this regard, this study employs the technology acceptance model (TAM) to which the constructs technology anxiety, technology self-efficacy, compatibility, and knowledge are incorporated into the original model. The results of the analysis of the data (N=281) reveals that: (i) technology self-efficacy and knowledge are positively related to two beliefs, perceived ease of use and perceived usefulness, (ii) compatibility is positively associated with perceived usefulness, (iii) perceived usefulness is positively related to attitude, and (iv) attitude is positively associated with intention to use.

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Section: Discussionsupporting

confidence: 92%

Section: Technology Acceptance Modelmentioning

confidence: 99%

Exploring the determinants of intention to use self-checkout systems in super market chain and its application

Cebeci¹,

Ertug²,

Türkcan³

2020

10.5267/j.msl

View full text Add to dashboard Cite

show abstract

“…fundamental strength. TAM has been empirically verified as an instrument for predicting technology use (Szajna 1996;Howell 2016;Larasati and Santosa 2017;Xie et al 2017;Verma and Sinha 2018) and emerged as the dominant model in the literature (Davis 1993;Szajna 1994;Venkatesh 2000;Venkatesh and Davis 2000).…”

Section: Apte and Petrovsky (2016)mentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

686

457

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Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories-technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs-Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.

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“…Social norms represent one of the subcategories of social factors that affect technology adoption with an effect on attitude of the individual towards an object (Malte et al, 2008;Chong et al, 2010;Verma and Sinha, 2018). H3: Social factors affect the perceived usefulness of the automation application in agriculture.…”

Section: Social Factorsmentioning

confidence: 99%

Factors Affecting the Adoption of Agricultural Automation Using Davis’s Acceptance Model (Case Study: Ardabil)

Salimi

Pourdarbani

Nouri

2020

Acta Technologica Agriculturae

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Taking into account that traditional agricultural methods reduce the farm performance and make agriculture economically ineffective, development of intelligent machinery is essential for improving the quality of crops and agricultural activities. The most important issue in development of agricultural technologies lies in users’ willingness to adopt it. Therefore, the purpose of this study is to investigate the key factors of Davis’s model in automation acceptance in agriculture. Presented paper describes an applied research with a survey approach through a questionnaire. Questionnaire data were collected from 378 people and respondents include university students, farmers and experts in a randomized sampling from the Ministry of Agriculture. Firstly, the questionnaire data were described in a form of statistical numerical characteristics. Secondly, in order to verify the data normality, the Kolmogorov-Smirnov test was calculated in SPSS and the relationship between the variables was investigated in the conceptual model. Subsequently, hypotheses were tested via appropriate statistical models using LISREL and SPSS software. The results showed that for all hypotheses, the T-test exceeds 1.96 and the significance level is less than 0.05. In such a manner, all hypotheses were confirmed at 95% level, and the path coefficients in the hypotheses H1, H2 and H6 were negative – indicating the negative effect of the independent variable on the dependent variable in the hypothesis. In the other hypotheses, these were positive – indicating the positive effect of the independent variable on dependent variable. By means of modelling, it was found that there was an inverse relationship between social and individual factors with perceived usefulness, as well as an inverse relationship between social factors with perceived ease-of-use, while there was a positive and significant relationship between other factors. According to a set of fitting indices, the research conceptual model was appropriate and Cronbach’s coefficients for each factor were greater than 0.7, suggesting that the questionnaire was valid. On the basis of findings, the better a person understands the usefulness of automation, the more likely this person is to adopt it. Since the risk and issues related to it play an important role in farmers’ decision making, it is recommended that future studies address the issue of risk in adopting precision farming technology.

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Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service

Cited by 154 publications

References 75 publications

Exploring the determinants of intention to use self-checkout systems in super market chain and its application

Exploring the determinants of intention to use self-checkout systems in super market chain and its application

Understanding the Blockchain technology adoption in supply chains-Indian context

Factors Affecting the Adoption of Agricultural Automation Using Davis’s Acceptance Model (Case Study: Ardabil)

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