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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