How Status Quo Bias Affects Digitalization of Agriculture: A Mixed-Method Study of Agri-Business CEOs

Sedera, Darshana and Lokuge, Sachithra ORCID: https://orcid.org/0000-0003-4558-687X and Nugawela, Saliya (2021) How Status Quo Bias Affects Digitalization of Agriculture: A Mixed-Method Study of Agri-Business CEOs. In: 42nd International Conference on Information Systems, 12 Dec - 15 Dec 2021, Austin, Texas.


Abstract

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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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 07 Mar 2022 07:07
Last Modified: 16 Mar 2022 03:57
Uncontrolled Keywords: Status quo bias, Technology adoption, CEO, Mixed method
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460908 Information systems organisation and management
URI: http://eprints.usq.edu.au/id/eprint/45580

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