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Management systems for cultural and creative organizations

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In recent years, technological advancements have driven innovation, modernization and organizational growth across the Cultural and Creative Industries (CCIs). Nonetheless, despite the acknowledged advantages of industry-tailored management systems, their deployment within CCIs has been scarcely investigated. Through a Systematic Literature Review (SLR) guided by the PRISMA protocol, this study (i) evaluates the current utilization of management systems within cultural and creative organizations (CCOs), (ii) identifies CCO-oriented system requirements and design approaches, and (iii) examines advanced technologies for system optimization. In total, this SLR reviewed twenty-three journal articles, published between 2014 and 2024, and ranging across multiple Cultural Domains (UNESCO Institute for Statistics, 2009). A preliminary Bibliometric Analysis was performed on five bibliometric indicators, which supplemented the Results and Analysis section, wherein the findings were synthesized into three primary dimensions - Systems and Functions, System Design, and Intelligent Optimization. The resultant insights prompted the construction of two conceptual frameworks: (i) a Research Trajectories framework, meant to inspire upcoming studies in this research field, and (ii) an innovative Design Agenda, which devises strategic recommendations for new, industry-tailored and CCO-oriented integrated management systems.

Descrição

Ferraz, C., Montargil, F., & Santos, V. (2026). Management systems for cultural and creative organizations: A systematic literature review and design agenda. Computers in Human Behavior Reports, 21, Article 100892. https://doi.org/10.1016/j.chbr.2025.100892 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.

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Information systems System design Cultural industry Creative industry Management studies Neuroscience (miscellaneous) Applied Psychology Human-Computer Interaction Computer Science Applications Cognitive Neuroscience Artificial Intelligence

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