The adoption of Agricultural Green Production Technologies (AGPT) by farmers is a complex and dynamic process involving multiple stakeholders, whose active participation is essential for promoting the diffusion and adoption of AGPT. This study incorporates government, banks, farmers, and agricultural technology service providers into a unified analytical framework and develops a four-party evolutionary game model to examine their strategic interactions and the evolutionary dynamics of AGPT adoption. Numerical simulations are conducted to investigate the evolutionary trajectories and equilibrium outcomes of the four stakeholders under different parameter settings. The results identify four possible evolutionary equilibrium states corresponding to different strategic combinations among the stakeholders. Government subsidies and the additional benefit coefficient of agricultural technology service providers are found to be important factors affecting farmers’ AGPT adoption decisions. In particular, changes in government subsidies alter farmers’ adoption incentives, while changes in the additional benefits of agricultural technology service providers can influence farmers’ decisions through the interdependent payoff structures among stakeholders. These findings demonstrate that AGPT adoption is not determined by farmers’ individual incentives alone but emerges from the strategic interactions and benefit structures of multiple stakeholders. Based on these findings, targeted policy recommendations and managerial implications are proposed to facilitate the diffusion and adoption of AGPT.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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