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@article{206434,
        author = {Ogunbadejo Ayomikun and Yacob Haliso},
        title = {Comparative Analysis of Competitive Intelligence Frameworks in Profit and Non-Profit Information Organizations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {2131-2137},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206434},
        abstract = {This study focused on the comparison between competitive intelligence frameworks for profit information organizations and non-profit information organizations. Competitive intelligence is based on the rising importance of decision-making within the information environment that is derived from intelligence. Using a systematic literature review, the qualitative study adopted a thematic and comparative analysis to review literature from 2023 to 2026 on relevant themes. Findings from the research showed that profit and non-profit information organizations use main competitive intelligence practices such as planning, data collection, data analysis, data sharing, and feedback from the use of data. However, profit driven information organizations exhibit highly structured competitive intelligence practices, and they adopt and use technologies more. Libraries, archives, and other information organizations which are non-profit in nature use competitive intelligence practices that are easily adaptable to prevailing situations, and are less rigid, as they mainly focus on how to deliver information to users, and how to satisfy users. Information organizations that are profit minded use technologies like artificial intelligence, and big data to improve on their innovative drives, empower them to be more competitive, and to make the maximum profit possible. Non-profit information organizations are often challenged with low funding, inadequate infrastructure, and low technical know-how. Findings also showed that the capacity of organizations and their ability to integrate technology into their operations influence how effective their competitive intelligence frameworks would be. The study recommends that the competitive intelligence frameworks of information organizations should be hybrid, a mix between profit and service orientations, which are scalable, and can integrate technologies in meeting their users’ information needs.},
        keywords = {Competitive intelligence, Data analytics, Information organizations, Intelligence frameworks, Organizational performance, Strategic decision-making},
        month = {July},
        }