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

Paper

Sedera, Darshana, Lokuge, Sachithra and Nugawela, Saliya. 2021. "How Status Quo Bias Affects Digitalization of Agriculture: A Mixed-Method Study of Agri-Business CEOs." 42nd International Conference on Information Systems. Austin, Texas 12 - 15 Dec 2021
Paper/Presentation Title

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

Presentation TypePaper
AuthorsSedera, Darshana (Author), Lokuge, Sachithra (Author) and Nugawela, Saliya (Author)
Journal or Proceedings TitleICIS 2021 Proceedings
ERA Conference ID43402
Article Number2532
Number of Pages17
Year2021
Web Address (URL) of Paperhttps://aisel.aisnet.org/icis2021/is_implement/is_implement/17/
Conference/Event42nd International Conference on Information Systems
International Conference on Information Systems (ICIS)
Event Details
International Conference on Information Systems (ICIS)
AISEL International Conference on Information Systems (ICIS)
Rank
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Event Details
42nd International Conference on Information Systems
Event Date
12 to end of 15 Dec 2021
Event Location
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.

KeywordsStatus quo bias, Technology adoption, CEO, Mixed method
ANZSRC Field of Research 2020460908. Information systems organisation and management
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Byline AffiliationsSouthern Cross University
Royal Melbourne Institute of Technology (RMIT)
Swinburne University of Technology
Institution of OriginUniversity of Southern Queensland
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