Assessing Organizational Readiness for Data-driven Innovation: A Review of Literature
Paper
Paper/Presentation Title | Assessing Organizational Readiness for Data-driven Innovation: A Review of Literature |
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Presentation Type | Paper |
Authors | Samarasinghe, Sasari Sanika Udanjala, Lokuge, Sachithra and Duan, Sophia |
Journal or Proceedings Title | Proceedings of the 28th Pacific Asia Conference on Information Systems (PACIS 2023) |
Article Number | 1429 |
Number of Pages | 9 |
Year | 2023 |
Place of Publication | China |
Web Address (URL) of Paper | https://aisel.aisnet.org/pacis2023/101/ |
Web Address (URL) of Conference Proceedings | https://aisel.aisnet.org/pacis2023/ |
Conference/Event | 28th Pacific Asia Conference on Information Systems (PACIS 2023) |
Event Details | 28th Pacific Asia Conference on Information Systems (PACIS 2023) Parent Pacific Asia Conference on Information Systems (PACIS) Delivery In person Event Date 08 to end of 12 Jul 2023 Event Location Nanchang, China Rank A A A A A A A A A A A A A A A |
Abstract | The growing demand for data has provided many opportunities for organizations to launch data-driven innovation (DDI) initiatives. DDI enables organizations to continuously respond to market opportunities and challenges and thereby sustain competitive advantage. However, many organizations fail in their attempt to implement DDI due to poor organizational readiness. This study investigates key factors that assist organizations in assessing their readiness for DDI. An extensive examination of literature was performed to identify readiness factors. The results highlighted nine organizational readiness factors for DDI based on the theoretical foundations of Technology-Organization and Environment framework and organizational readiness theory. The findings of this study contribute to the growing body of DDI literature and provide insights for organizations interested in implementing DDI initiatives. |
Keywords | Data; Organizational Readiness; DDI; Data-driven Innovation |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460908. Information systems organisation and management |
350303. Business information systems | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Southern Queensland |
Royal Melbourne Institute of Technology (RMIT) |
https://research.usq.edu.au/item/z2zwv/assessing-organizational-readiness-for-data-driven-innovation-a-review-of-literature
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