Factors Influencing Acceptance and Use of ICT Innovations by Agribusinesses

Ibrahim, Adamkolo Mohammed; Hassan, Shahid; Gusau, Ahmed Lawal

doi:10.4018/jgim.2018100107

Cited by 24 publications

(14 citation statements)

References 43 publications

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“…Additionally, the study findings suggest that the expectancies of technology need to be enhanced to garner better understanding of the intention formation of technology adoption and further use of the technology. The expectancies postulated by UTAUT can be applied to examine the use of technology (i.e., CAPs) [71].…”

Section: Discussionmentioning

confidence: 99%

Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach

Hayat

Mamun

Nasir

et al. 2020

Land

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The adoption of innovative technology has always been a complex issue. The agriculture sectors of developing countries are following unsustainable farming policies. The currently adopted intensive farming practices need to replace with conservative agriculture practices (CAPs). However, the adoption of CAPs has remained low since its emergence and reports have suggested that the use of CAPs is scant for sustainable farm performance. This article aims to study three scenarios: Firstly, the influence of personal and CAPs level factors on the intention to adopt CAPs; secondly, the influence intention to adopt CAPs, facilitating conditions and voluntariness of use on the actual use of CAPs; and thirdly, the impact of the actual use of CAPs on sustainable farm performance. This study is based on survey data collected by structured interviews of rice farmers in rural Pakistan, which consists of 336 samples. The final analysis is performed using two methods: (1) a well-established and conventional way of Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart PLS 3.0, and (2) a frontier technology of computing using an artificial neural network (ANN), which is generated through a deep learning algorithm to achieve maximum possible accuracy. The results reveal that profit orientation and environment attitude as behavioural inclination significantly predicts the intention to adopt CAPs. The perception of effort expectancy can significantly predict the intention to adopt CAPs. Low intention to adopt CAPs caused by the low-level trust on extension, low-performance expectancy, and low social influence for the CAPs. The adoption of CAPs is affected by facilitating conditions, voluntary use of CAPs, and the intention to adopt CAPs. Lastly, the use of CAPs can positively and significantly forecast the perception of sustainable farm performance. Thus, it is concluded that right policies are required to enhance the farmers’ trust on extension and promote social and performance expectation for CAPs. Besides, policy recommendations can be made for sustainable agriculture development in developing and developed countries.

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Section: Discussionmentioning

confidence: 99%

Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach

Hayat

Mamun

Nasir

et al. 2020

Land

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“…The UTAUT2 model and its precursor, the UTAUT model, have been used to study adoption of a number of innovations, including MP services by Korean consumers (Lee et al , 2019), online entrepreneurial information and communication technology by agribusinesses (Ibrahim et al , 2018), e-learning adoption by academicians (Uğur and Turan, 2018), e-banking services by Chinese consumers (Wang et al , 2017), mobile wallets by Indian consumers (Singh et al , 2017), adoption of internet banking by Jordanian consumers (Alalwan et al , 2018) and remote MP in the UK (Slade et al , 2015b; Slade et al , 2014). Given the use of UTAUT and UTAUT2 as a framework to understand mobile MP adoption in other cultures (Slade et al , 2015a, 2015b; Baabdullah et al , 2019; Hussain et al , 2019; Lee et al , 2019), the UTAUT2 framework was adopted to assess MP acceptance among Colombian consumers.…”

Section: Introductionmentioning

confidence: 99%

Mobile payment adoption in Latin America

Bailey

Bonifield

Arias

et al. 2022

JSM

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Purpose Service providers have a vested interest in enhancing adoption of technologies that improve the customer service experience. Buoyed by this idea, this paper aims to explore Latin American consumers’ mobile payment (MP) adoption, conceptualized as bank-sponsored mobile wallets that facilitate payment at the point-of-purchase. This paper applies a revised unified theory of acceptance and use of technology 2 (UTAUT2) model as theoretical framework for this exploration. Design/methodology/approach To test the conceptual model of MP adoption in Latin America put forward in this paper, the authors used Colombia as a sample site and conducted two studies among a sample of consumers in this country. Completed questionnaires from 186 participants (Study 1) and 398 participants (Study 2) were used in data analyses, which were conducted using Mplus 8.4 and PROCESS. Findings In Study 1, performance expectancy, social influence, bank trust, confidence in MP system and consumer innovativeness all impact consumers’ MP use intention; and use intention impacts MP behavior. In Study 2, involving a wider sample, performance expectancy, effort expectancy, facilitating conditions, perceived quality of the MP system, bank trust, consumer innovativeness, consumer optimism and consumer insecurity all affect MP use intention; and use intention significantly impacts MP behavior. Across both studies, follow-up analysis showed that effort expectancy influences performance expectancy for MP and indirectly influences MP use intention through its impact on performance expectancy. Bank trust also indirectly affects MP use intention through its effects on system confidence. In Study 2, age did not affect MP use intention or MP use; however, education affected MP use. Research limitations/implications The theoretical underpinning for the conceptual model was the UTAUT2, and the results across the two studies support previous research in which this revised model has been useful in explaining technology adoption. Core elements of the UTAUT2 such as performance expectancy, effort expectancy, facilitating conditions and social influence had different impact on MP adoption in Latin America, depending on the sample. Technology readiness index motivators and inhibitors also aid understanding of MP adoption. Practical implications The research provides insights on the variables that members of the MP ecosystem in Latin America (e.g. banks and other service providers, card issuers) need to address in getting Latin American consumers to use MP. Originality/value This research extends the exploration of MP to a region of the world that has not been the focus of prior studies on the adoption of this technology and responds to calls by some researchers to increase research in this region. The conceptual models in the two studies also incorporate trust in the banks that are part of the MP ecosystem in Latin America and consumer overall confidence in this MP ecosystem. The results show that both these factors are influential in Latin American consumers’ adoption of MP. System confidence also mediates the relationship between bank trust and MP use intention.

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“…Similar constructs exist in five additional models and theories, including perceived usefulness in the Technology Acceptance Model, extrinsic motivation in the Motivational Model, job-fit in the Model of PC Utilization, relative advantage in the Diffusion of Innovation, and outcome expectancy in the Social Cognitive Theory. Performance expectancy was found as the strongest predictor of an individual's intention to use new technologies in an organizational context, and prior studies in the field found that there was a positive relationship between performance expectancy and continuance intention by (Raza et al, 2017;Maruping et al, 2017;Ibrahim et al, 2018;Kit et al, 2021). It is significantly influence behavioural intention to use big data analytic in companies (Cabrera-Sanchez & Villarejo-Ramos, 2020) ; influenced the use of e-commerce (Shahzad et al, 2020) ; influencing usage of public electronic procurement among Malaysian's SMEs (Kit et al, 2021) ; a significant predictor of the behavioural adoption of e-commerce (Mensah et al, 2021) ; a significant predictor of cloud computing adoption (Khayer et al, 2021) and a positive effect on the continuance intention of accountants to use Accounting Information System (Lutfi, 2022).…”

Section: Performance Expectancymentioning

confidence: 88%

“…To review the previous study, the author focused on the studies which applied UTAUT and SMEs. UTAUT has been applied by many researchers to study DWP adoption in SMEs such as accounting information system (Lutfi, 2022); cloud computing technology (Khayer et al, 2021); e-commerce (Shahzad et al, 2020) & (Sombultawee, 2020); electronic procurement Kit et al (2021); Soong et al (2020) digital advertising (Reyes-Mercado & Barajas-Portas, 2020) ; enterprise system (Awa & Ukoha, 2020); social media (Alhaimer, 2019); smart manufacturing technology (Chei et al, 2019); big data (Silva et al, 2019); Internet technology adoption (Dasgupta & Gupta, 2019) and business application (Ibrahim et al, 2018) The environmental factor was a positive predictor of the performance expectancy of electronic commerce (EC) among SMEs, it does not, however, encourage the adoption of EC. The knowledge factor is a significant determinant of the adoption of EC among SMEs.…”

Section: Definition and Conceptualizations Of Digital Workplacementioning

confidence: 99%

The Determinants of Digital Workplace Adoption: A Conceptual Framework

Hashim¹,

Razak²,

Muhammad³

et al. 2022

IJARBSS

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The digital workplace is an invaluable organizational resource that can significantly boost the productivity of knowledge workers. The reduction of barriers between people, information, and processes is one of the many benefits offered digital workplace, along with mobility, information searching, communication, and collaboration. However, the Movement Control Order caused commercial losses for more than two thirds of Malaysian SMEs (MCO). 31% of SMEs suffered delays in finishing tasks and projects, while 30% had operational interruptions. From a thorough analysis of the literature on digital workplace adoption adoption, this study presents a conceptual framework to determine the factors that influence digital workplace adoption. The conceptual framework which is based on Unified Theory of Technology Acceptance and Use (UTAUT) will be applied in this study. The proposed framework can be utilized to identify the determinant factors of digital workplace adoption among employees of Malaysian SMEs. In the meantime, Personal Knowledge Management is integrated to the framework serves as a moderator to assess worker's ability in using digital workplace tools.

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Factors Influencing Acceptance and Use of ICT Innovations by Agribusinesses

Cited by 24 publications

References 43 publications

Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach

Predicting Sustainable Farm Performance—Using Hybrid Structural Equation Modelling with an Artificial Neural Network Approach

Mobile payment adoption in Latin America

The Determinants of Digital Workplace Adoption: A Conceptual Framework

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