The ironies of new innovation and the sunset industry: Diffusion and adoption

Mannan, Sobia; Nordin, Shahrina Md; Rafik-Galea, Shameem; Rizal, Ammar Redza Ahmad

doi:10.1016/j.jrurstud.2017.07.015

Cited by 36 publications

(22 citation statements)

References 20 publications

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“…The effect of FCN on UOC was assessed in H9. The study findings show that FCN (f 2 = 0.016) significantly affects the farmers' behaviour and interest towards using CAPs [42]. Additionally, H10 had evaluated the impact of VOU on the use of CAPs and found that the effect of VOU (f 2 = 0.009) significantly affected the formation of behaviour to use CAPs.…”

Section: Use Of Capsmentioning

confidence: 88%

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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: Use Of Capsmentioning

confidence: 88%

“…We operationalize facilitating conditions as perceived beliefs held by farmers that organised technical support is available for using the CAPs [39]. The perception of accessibility and support to use CAPs and available advice can encourage farmers to use CAPs [42].…”

Section: Social Influence (Sin)mentioning

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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“…A number of studies that have sought to understand the main determinants of green products, have used the constructs from DOI and behaviour intention (Choshaly, 2019;Kapoor et al, (2014); Mannan et al, 2017). All of the results from these studies established that the model provided a good relationship between innovation characteristics and behavioural intention.…”

Section: Diffusion Of the Innovation Modelmentioning

confidence: 99%

Factors influencing the green purchase behaviour of millennials: An emerging country perspective

Dilotsotlhe

2021

Cogent Business & Management

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The study investigates the determinants of green purchase behaviour amongst the millennial cohort in an emerging market of South Africa. The research was theoretically grounded on the diffusion of innovation and the theory of planned behaviour models. A descriptive quantitative research design was followed and primary data was gathered using a self-administered questionnaire. A total of 355 complete responses were suitable for analysis. A partial least squares structural equation modelling technique was used to determine the significance of the interrelationships between the items measuring the study's constructs. Furthermore, the measurement and structural models were assessed. The findings concluded that all the significant independent variables (relative advantage, compatibility and observability) explained 84.0% of the variance in attitude towards green purchase behaviour. Attitudes, subjective norm and perceived behavioural control explained 83.4% of the variance in behavioural intention towards green purchase behaviour and behavioural intention explained 24.2% of the variance in adoption behaviour. It is therefore important for the green industry of South Africa to cultivate the adoption behaviours of green products towards their customer base, thereby securing Nombulelo Dilotsotlhe

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“…In recent years, this theory has also attracted the attention of agriculturists and environmentalist. Mannan et al believed that innovative attributes play an active role in the promotion and adoption of green fertilizer technology in rice cultivation in Malaysia [23]. High-input agriculture not only increases greenhouse gas emissions but also causes huge economic losses and environmental damage in many countries [24].…”

Section: Obstacles To the Diffusion Of Low-carbon Agriculturalmentioning

confidence: 99%

The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

2020

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Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders. The impact of innovation subsidies, carbon taxes, and adoption subsidies on low-carbon agricultural innovation diffusion is simulated using Matlab software. The results show that the government’s reasonable subsidies and carbon taxes for agricultural enterprises and farmers can increase the enthusiasm of agricultural enterprises and farmers to participate in low-carbon agriculture. This study can be used as a basis for the government to formulate more targeted policies to promote the diffusion of low-carbon agricultural innovation.

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The ironies of new innovation and the sunset industry: Diffusion and adoption

Cited by 36 publications

References 20 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

Factors influencing the green purchase behaviour of millennials: An emerging country perspective

The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

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