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Computer animation data management: Review of evolution phases and emerging issues.

Liang, H., Sit, K (J.), Chang, J. and Zhang, J. J., 2016. Computer animation data management: Review of evolution phases and emerging issues. International Journal of Information Management, 36 (6 A), 1089-1100.

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DOI: 10.1016/j.ijinfomgt.2016.07.008

Abstract

The computer animation industry has been booming and prospering in recent thirty years. One of the significant changes faced by this industry is the evolution of computer-animation data and, yet, extant literature has offered very little insights into the evolution process and management issues pertinent to computer-animation data. Hence, many questions have surfaced in the extant literature of computer-animation data management. For example, to what extent has the data content expanded in terms of quantity and quality? To what extent has the information technology used to store and process the data changed? To what extent have the user and the community groups diversified in terms of their nature and number? Knowledge pertaining to these issues can provide new research directions to academics and also insights to practitioners for more effective and innovative management of computer-animation data. This conceptual paper, therefore, takes the pioneering step to address these issues by proposing four factors prudent for examining the evolution phases associated with computer-animation data management: technology, content, users, and community. Next, this paper presents a conceptual framework illustrating the inter-dependent relationships between these four factors together with associated theoretical and managerial issues. This paper, albeit limited by its conceptual nature, advances the extant literature of computer animation, information system, and open-product model.

Item Type:Article
ISSN:1873-4707
Uncontrolled Keywords:Computer animation ; Data management ; Evolution ; Emerging issues ; Literature review ; Open product model
Group:Faculty of Media & Communication
ID Code:24408
Deposited By: Symplectic RT2
Deposited On:22 Jul 2016 12:31
Last Modified:14 Mar 2022 13:57

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