IS Implementation & Adoption
Paper Number
2532
Paper Type
Completed
Description
This research investigates the chief executive offers’ (CEO) commitment to the status quo and its effects on adopting new technologies in agri-businesses. The study employed a mixed method approach, gathering data from two exploratory case studies and quantitative survey data from 128 agri-business CEOs. The findings identified that despite a myriad of advantages of modern technologies and the growing emphasis for global food security, there is still a strong element of resistance to adopt new technologies associated with status quo bias. The study also identified two new constructs of status quo bias that are unique to agri-businesses. Through the confirmatory survey data, the study established the relative importance of the constructs and how status quo influences the decision to adopt new technologies. Moreover, a series of multi-group analyses identified nuanced views of CEO status quo bias, in relation to firm size, years of experience, age and the gender.
Recommended Citation
Sedera, Darshana D.; Lokuge, Sachithra; and Nugawela, Saliya, "How Status Quo Bias Affects Digitalization of Agriculture: A Mixed-Method Study of Agri-Business CEOs" (2021). ICIS 2021 Proceedings. 17.
https://aisel.aisnet.org/icis2021/is_implement/is_implement/17
How Status Quo Bias Affects Digitalization of Agriculture: A Mixed-Method Study of Agri-Business CEOs
This research investigates the chief executive offers’ (CEO) commitment to the status quo and its effects on adopting new technologies in agri-businesses. The study employed a mixed method approach, gathering data from two exploratory case studies and quantitative survey data from 128 agri-business CEOs. The findings identified that despite a myriad of advantages of modern technologies and the growing emphasis for global food security, there is still a strong element of resistance to adopt new technologies associated with status quo bias. The study also identified two new constructs of status quo bias that are unique to agri-businesses. Through the confirmatory survey data, the study established the relative importance of the constructs and how status quo influences the decision to adopt new technologies. Moreover, a series of multi-group analyses identified nuanced views of CEO status quo bias, in relation to firm size, years of experience, age and the gender.
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